Transformer monitor, communications and data collection device

Abstract
A transformer monitor, communication and data collection device features a signal processor configured to receive signaling containing information about collected data, including some combination of electrical signaling data related to electrical signaling being processed by a transformer located and arranged in a grid network and to which the apparatus is mounted, metered data related to associated electrical signaling being provided from the transformer to a building or structure in the grid network, and other wireless network data related to other wireless network communication devices/nodes/end points deployed in the grid network; and determine corresponding signaling containing information about collected data for transmitting back to a central location or other connection device for further processing, based upon the signaling received.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


The present invention relates to a technique for implementing a power grid network; and more particularly, the present invention relates to a method and apparatus for implementing a smart power grid network.


2. Brief Description of Related Art


Proliferation of the “Internet of Things” is driving interconnected smart systems. In particular, smart grids are following this trend though the establishment of smart energy, gas and water management. Interconnected components are now providing an unprecedented level of intelligence supporting numerous operational actions. This landscape is ushering in vast amounts of unstructured data and the need for intelligent data parsing, analysis and action systems.


However, currently there is a need within global smart grid networks, e.g., in urban and remote locations with limited electric infrastructure, for communications with transformers, residential and commercial meters and other Internet/wireless connected devices {commonly referred to as the “Internet of Things”}. These targeted locations do not have sufficient infrastructure to fully deploy a smart grid or Internet infrastructure.


SUMMARY OF THE INVENTION

The present invention represents a new and unique inclusion of wireless communications and data transmission capability into transformer monitoring modules, transformer monitoring being a core component within a so-called smart grid network. These transformer modules may be mounted directly to utility transformers in the field and include the capability to both collect and transmit information from the transformer, residential and commercial meters and other Internet/wireless connected devices. The transformer module or device according to the present invention differs from other existing technology by incorporating a transceiver, transmitter and antenna/optical network collectively within the same device to establish a wireless mesh network, collect data from other network devices deployed in the field and communicate collected data back to a central location or other connected devices.


According to some embodiments, the complete device assembly of the present invention may include four major components: (1) water proof/environmentally sealed and human factors centric housing, (2) transformer monitoring circuitry, (3) smart grid collection circuitry, and (4) radio/wireless mesh networking circuitry. By way of example, the system may be attached to the transformer via magnets built into the housing and powered from the secondary side of the transformer using hermetically sealed interconnects.


Specific Embodiments

By way of example, and according to some embodiments, the present invention may include, or take the form of, apparatus featuring a signal processor or signal processing module, configured to:

    • receive signaling containing information about collected data, including some combination of electrical signaling data related to electrical signaling being processed by a transformer located and arranged in a grid network and to which the apparatus is mounted, metered data related to associated electrical signaling being provided from the transformer to a building or structure in the grid network, and other wireless network data related to other wireless network communication devices/nodes deployed in the grid network; and
    • determine corresponding signaling containing information about the collected data for transmitting back to a central location or other connection device for further processing, based upon the signaling received.


According to some embodiments, the present invention may include one or more of the following features:


The apparatus may include, or take the form of, a transformer monitor, communication and data collection device, e.g., for pole or pad mounting in relation to a residential or commercial home, building or structure.


The signal processor may be configured to provide the corresponding signaling to the central location or other connection device for further processing, e.g., using an intelligent distribution analytic platform. By way of example, the intelligent distribution analytic platform may include, or take the form of, a digital data and delivery and receipt mesh network having communication nodes for exchanging information between the transformer monitor, communication and data collection device and the central location or other connection device. By way of further example, the intelligent distribution analytic platform may include, or take the form of, using a smart node power grid communication protocol for exchanging information between the communication nodes, the transformer monitor, communication and data collection device and the central location or other wireless network communication devices/nodes/end points deployed in the grid network. The transformer monitor, communication and data collection device according to the present invention is understood to be one of the communication nodes that forms part of the digital data and delivery and receipt mesh network.


The transformer monitor, communication and data collection device may include a combination of a transceiver, transmitter and an antenna/optical network configured to receive the signaling at the transducer located and arranged in the grid network and provide the corresponding signaling back to the central location or other connection device.


The transformer monitor, communication and data collection device may include a housing with a magnet, bolt, harness or other attachment for attaching the housing to a corresponding housing of the transformer located and arranged in the grid network. The housing may be waterproof and environmentally sealed and configured to contain the signal processor therein.


The housing may include a combination of an upper housing, a lower housing base and internal circuitry configured to implement transmission, reception, networking and data aggregation, and sensor input signal processing functionality.


The internal circuitry may include, or form part of, a built-in antenna/optical network that is either incorporated directly into the housing or located externally to the housing.


The building or structure may be a residential home or building, or a commercial building or structure.


The metered data may be received from an electric meter associated with the building or structure. The meter data may also include other types or kinds of metered data, e.g., including metered data from a gas meter, or a water meter, or some combination of meters.


The metered data may be received either from a single phase residential electric meter associated with a residential building, or either from a 3-phase commercial electric meter associated with a commercial structure.


The signaling may contain associated information about the distribution of the electrical signaling in the grid network.


The associated information may include distribution information about a power outage, the voltage of the electrical signaling, and/or transformer monitoring, including voltage analysis, digital rights management (DRM) or energy theft. By way of example, the transformer may provide suitable signaling to the transformer monitor, communication and data collection device containing at least part of the associate information.


The apparatus may include the central location or other connection device configured with a corresponding signal processor to receive the corresponding signaling and determine utility analyst information, e.g., that relates to a delivery substation analysis, proactive asset monitoring, distribution asset utilization, transmission and distribution (T&D) substation analysis, energy audits and analysis, load control and/or geographic localization.


The corresponding signal processor may be configured to provide power utility signaling containing information about energy conservation, load curtailment and/or a demand response for controlling a power utility.


The transformer monitor, communication and data collection device may include one or more cables configured to provide for data and device power.


The transformer monitor, communication and data collection device may include a wireless power transfer module configured for wireless power transfer via inductance or tuned magnetic resonance.


The transformer monitor, communication and data collection device may be, or take the form of, a pole mounted device that is mounted on a transformer on a utility pole, e.g., in relation to electrical energy supplied to residential homes.


Alternatively, the transformer monitor, communication and data collection device may be, or take the form of, a mounted device that is mounted on a pad transformer, e.g., in relation to electrical energy supplied to commercial buildings or structures.


The transformer monitor, communication and data collection device may be, or take the form of, a pole mounted device that is mounted on a transformer on a utility pole.


The apparatus may include, or take the form of, a digital data and delivery and receipt mesh network, e.g., consistent with that set forth herein.


The apparatus may include a global smart grid network comprised of:

    • a first transformer mounted monitor, communication and data collection device having the signal processor;
    • a second transformer mounted monitor, communication and data collection device having a second signal processor configured to implement signal processing functionality corresponding to the signal processor in relation to a second transformer and providing second corresponding containing corresponding information about corresponding collected data related to corresponding electrical signaling and corresponding associated electrical signaling for further processing back at the central location or other connection device; and
    • either the first transformer mounted monitor, communication and data collection device provides the corresponding signaling to the second transformer mounted monitor, communication and data collection device for providing back to the central location or other connection device, or
    • the second transformer mounted monitor, communication and data collection device provides the second corresponding signaling to the first transformer mounted monitor, communication and data collection device for providing back to the central location or other connection device.


The signal processor may be configured to provide the corresponding signaling to the central location or other connection device for further processing via wireless signaling, e.g., including via a cloud network.


At least part of the signaling received may be wireless signaling, or may be hardwired signaling, or may be some combination thereof.


The instant application provides a new technique that is a further development of, and builds upon, the aforementioned family of technologies set forth herein.





BRIEF DESCRIPTION OF THE DRAWING

The drawing includes the following Figures, which are not necessarily drawn to scale:



FIG. 1A is a diagram of a smart power grid network having a transformer monitor/data collection device, according to some embodiments of the present invention.



FIG. 1B is a diagram of a smart power grid network having a transformer monitor/data collection device, according to some embodiments of the present invention.



FIG. 2 is an exploded view of the transformer monitor/data collection device, according to some embodiments of the present invention.



FIG. 3 is a block diagram of apparatus, e.g., having a signal processor or processing module, configured for implementing signal processing functionality associated with the present invention, according to some embodiments of the present invention.



FIG. 4A shows a transformer monitor/data collection device interaction with residential and commercial locations, according to some embodiments of the present invention.



FIG. 4B shows a transformer monitor/data collection device installation with residential locations and connected via a cloud network, e.g., to a communication node that forms part of a digital data and delivery and receipt mesh network using a smart node power grid communication protocol, according to some embodiments of the present invention.



FIG. 4C shows a transformer monitor/data collection device installation with commercial locations and connected via a cloud network, e.g., to a communication node that forms part of a digital data and delivery and receipt mesh network using a smart node power grid communication protocol, according to some embodiments of the present invention.





DETAILED DESCRIPTION OF THE INVENTION
The Basic Invention

In summary, and as shown in the drawing, the present invention represents a new and unique inclusion of wireless communications and data transmission capability into transformer monitoring modules 20, transformer monitoring being a core component within a so-called Smart Grid Network according to the present invention. These transformer modules may be mounted directly to utility transformers in the field and may include the capability to both collect and transmit information received in signaling provided from a transformer, residential and commercial meters and/or other communication nodes that form part of other Internet/wireless connected devices in the Smart Grid Network. The transformer module or device according to the present invention differs from other existing technology by incorporating a transceiver, transmitter and antenna/optical network collectively within the same device to both collect data from other network devices deployed in the field and communicate the collected data back to a central location or other connected devices, e.g., consistent with that disclosed herein.


According to some embodiments, the transformer module or device of the present invention may include four major components: water proof/environmentally sealed and human factors centric housing, transformer monitoring circuitry, smart grid collection circuitry, and radio/wireless mesh networking circuitry (See FIG. 2). By way of example, the transformer module or device may be attached to the transformer on the utility pole via magnets built into the housing and powered from the secondary side of the transformer using hermetically sealed interconnects, e.g., as shown in FIGS. 1A and 1B. See also FIGS. 4A through 4C.



FIGS. 1A and 1B show big picture renditions of the overall smart power grid network, e.g., as a configuration/establishment of a baseline, power grid centric, smart utility mesh network, for implementing a pole mounted transformer monitor/smart data collector device according to the present invention to communicate upstream/downstream within the network.


The overall smart power grid network represents an interconnected so-called “BIG DATA” technology system providing advanced intelligence and synergistic components across power metering, distribution and communication, optimization and installation and servicing. The network incorporates discrete elements in the transformer monitoring and communications, residential and commercial metering and analytical, predictive and pre-emptive software algorithms. The hardware associated with the network facilitates communications with transformers, residential and commercial meters, and other Internet/wireless connected devices {commonly referred to as the “Internet of Things”}. The network's geographically disbursed assets support a wireless mesh network communications extension, while aiding system optimization capabilities, noting that many assets are in logistically difficult areas to reference, re-locate, interrogate and service. The overall integrated system drives substantial efficiencies in data visualization, evaluation, diagnosis, optimization, and servicing using enhanced reality systems across this interconnected smart grid network and similar networks. The collective systems provide a synergistic and unique alternative network for BtB/BtC data receipt and delivery.


The smart grid network according to the present invention represents a singular, standardized, and scalable network, providing the industry's first inclusive solution from a singular supplier. The smart grid network is inclusive of four basic technology elements. The primary hardware and software constituents of the network are as noted and identified below.

    • 1. The pole or pad mounted transformer monitor/smart data collector device is identified herein as element 20, according to the present invention (AKA as “HyperSprout™” (and formerly known as “ITM™”)), which is the localized data aggregation and power flow investigation; establishing a data capture and delivery capability wherever there is power, e.g., consistent with that set forth herein.
    • 2. A digital data and delivery and receipt mesh network (AKA “DataVINE™” (formerly known as (iAMI™”)) is identified herein as element 40, which is a ubiquitous mesh network facilitating automated residential and commercial metering while deploying an alternative data delivery capability; enforcing a market leading 100% meter read capability, e.g., consistent with that set forth in U.S. application Ser. No. 62/236,420 (WFMB No. 756-2.6-1), as well as U.S. provisional application Ser. No. 62/244,919 (WFMB No. 756-2.8-1), and U.S. provisional application Ser. No. 62/299,348 (WFMB No. 756-2.10-1).
    • 3. A smart node power grid communication protocol (AKA “DataSCAPE™” (formerly known as iDAP™)), which provides for a comprehensive nodal exchange analysis of all grid parameters; realizing an inclusive geo-spatial understanding of utility operations, e.g., consistent with that set forth in U.S. provisional application Ser. No. 62/205,358 (WFMB No. 756-2.4-1).
    • 4. An enhanced reality field investigation, interaction and servicing; deploying the industry's first “virtual” utility (AKA as “PowerVISR™”), e.g., consistent with that set forth in U.S. provisional application Ser. No. 62/203,719 (WFMB No. 756-2.3-1).


Taken collectively, this energy and communications portfolio and financial strategy improves over current offerings through its intimate understanding of utility partners' pain points, core needs and anticipated delights. Most importantly, the network hardware and software solution allows for the identification of the purposeful diversion of energy {i.e., theft} and the focused remediation of the offending areas or subjects, subsequently enhancing enterprise revenues.


As noted, the aforementioned overall combination provides an infinitely scalable data delivery and receipt capability for communities with poorly established, historical infrastructure while providing a synergistic network capability to those communities with current cellular capability.


FIGS. 1A and 1B

By way of example, FIGS. 1A and 1B show examples of smart power grid networks generally indicated as 10 and 10′, some embodiments of the present invention. By way of example, the smart power grid networks may take the form of, or may be configured to include, one or more digital data and delivery and receipt mesh networks like element 40. Each digital data and delivery and receipt mesh network 40 includes communication nodes such as the transformer module or device 20 for exchanging information upstream and downstream between the communication nodes and the central location, which takes the form of the private network 50 in FIGS. 1A and 1B. Communication nodes are configured to be able exchange such upstream and downstream information between themselves in order to exchange such upstream and downstream information between a respective communication node and the central location. In FIGS. 1A and 1B, similar elements are provided with similar reference labels.


In FIGS. 1A and 1B, the smart power grid networks 10, 10′ include transformers like elements 12, 22 for providing electric energy to residential homes and commercial buildings like elements 16, 26, each having a respective electrical meter like elements 18, 28 for measuring the associated electrical energy usage. The smart power grid networks 10, 10′ also include transformer monitor/data collection devices 20 configured to collect data about the electrical energy usage in relation to residential homes and commercial buildings 16, 26 from the respective electrical meter like elements 18, 28. For example, each electrical meter 18, 28 may provide metered data signaling containing information about metered data related to associated electrical signaling being supplied from the transformer 12, 22 to the building or structure 16, 26 in the grid network 10, 10′. Moreover, transformer monitor/data collection devices 20 may receive associated signaling containing information about electrical signaling data related to electricity being processed by the transformer 12, 22 located and arranged in the grid network and to which the transformer monitoring device is mounted, as well as other wireless network data related to other communication nodes/end points forming part of other wireless network devices deployed in the grid network. In effect, the collected data received by the transformer monitor device 20 may include some combination of the electrical signaling data related to the transformer, the metered data related to the electrical meter and/or the other wireless network data related to other communication nodes/end points in the grid network.


The transformer monitor/data collection devices 20 are also configured to provide suitable signaling 30 containing information about the collected data to a private network 50 via the digital data and delivery and receipt mesh network 40. The private network 50 is configured as a central point that processes the collected data, e.g., performing utility analysis that may include one or more of the following: delivery subtraction analysis, proactive asset monitoring, distribution asset utilization, T and D subtraction analysis, energy audits and analysis, load control, and geographic localization. By way of example, the utility analysis is performed in an effort to increase efficiency, decrease costs, increase profits and/or community engagement related to the operation of the smart grid network.



FIGS. 1A and 1B shows a pole mounted transformer device 20 in communications with the electrical meter 18 associated with the residential home 16. By way of example, the electrical meter 18 may be configured to measure single phase electrical energy provided by the transformer 12 along a single phase utility line 11 to the residential home 16.



FIG. 1A also shows a pad mounted transformer device 20 in communications with the electrical meter 28 associated with the commercial building home 26. By way of example, the electrical meter 28 may be configured to measure three (3) phase electrical energy provided by the pad transformer 22 along a three (3) phase utility line 21 to the commercial building home 26. FIG. 1B also shows a power utility 80 configured to provide the electrical energy in the smart grid network 10′.



FIG. 1B shows that the transformer device 20 may be configured to collect data related to some distribution related functionality, e.g., including determinations related to outage, momentary outage, voltage/VAR, and/or transformer monitoring. FIG. 1B shows that the transformer device 20 may be configured to collect data related to some voltage analysis, DRM functionality and energy theft functionality in relation to its associated residential home or commercial building. The transformer device 20 provides the suitable signaling 30 containing information about the collected data to the private network 50 via the digital data and delivery and receipt mesh network 40. The collected data received by the private network 50 may also be analyzed in relation to conservation, load curtailment and/or a demand response vis-a-vis the power utility 80. In FIG. 1B, the private network 50 may include a private network computer and monitor generally indicated as 52 for performing or implementing the aforementioned analysis and functionality. FIG. 1B also shows both the receipt and transmission of digital data across the defined wireless mesh network to a representative IoT device indicated as 53, e.g., which may take the form of a smart phone, tablet, computer, laptop, etc.



FIG. 1A shows that the digital data and delivery and receipt mesh network 40 may include other transformer devices like element 20 exchanging information with other meters like elements 18i, 28i associated with other buildings or structures like elements 16, 26.



FIG. 1A also shows a relay 60 coupled between the digital data and delivery and receipt mesh network 40 and the private network 50. By way of example, the relay 60 is shown as 5 GHz relay for communicating with a corresponding 5 GHZ private network 50, although the scope of the invention is not intended to be limited to any particular frequency or transmissions/receipt media for the relay or network.


FIG. 2


FIG. 2 shows the transformer monitor/data collection device 20, e.g., having an upper housing 20a, internal circuitry 20b and a lower housing base 20c. By way of example, the internal circuitry 20c may be configured inclusive of transmission, reception, networking, data aggregation, sensor input, among other requirements for implementing signal processing functionality in relation to the same. For example, any signal processing functionality may be implemented using a signal processor like element 20b1 (see also FIG. 3, element 102), consistent with that set forth herein and described in further detail below.


In particular, the internal circuitry 20b may be configured to implement transmission/reception signal processing functionality, e.g., for exchanging suitable transmission/reception signaling to/from other communication nodes in the smart grid network, or to/from the central location or other connection device like element 50 for further processing, including in relation to some combination of either a cloud network, or a digital data and delivery and receipt mesh network 40, or by using a smart node power grid communication protocol, consistent with that set forth herein.


Further, the internal circuitry 20b may also be configured to implement networking and data aggregation signal processing functionality, e.g., for exchanging suitable networking and data aggregation signaling received to/from other communication nodes in the smart grid network, or to/from the central location or other connection device for further processing, including in relation to some combination of either the cloud network, or the digital data and delivery and receipt mesh network, or by using the smart node power grid communication protocol.


Furthermore, the internal circuitry 20b may also be configured to implement sensor input signal processing functionality, e.g., for exchanging suitable sensor input signaling containing information about sensed input information received by the transformer monitor/data collection device 20 to/from the electric meter 18, 28 of the residential home or commercial building, or to/from the transformer itself 12, 22. Furthermore still, the scope of the invention is not intended to be limited to any particular type or kind of signal processing functionality that may be implemented by the internal circuitry 20b; embodiments are envisioned, and the scope of the invention is intended to include, implementing other types or kind of signal processing functionality by the internal circuitry 20b either now known or later developed in the future within the spirit of the present invention.


The housing base 20c may be attached to the pole-mounted transformer or the utility pole 14 itself (see FIGS. 1A and 1B), e.g., by being configured for magnetic attachment, bolt attachment, or other methodologies. The scope of the invention is not intended to be limited to the type or kind of attachment; and embodiments are envisioned using, and the scope of the invention is intended to include, other types or kinds of attachment techniques either now known or later developed in the future within the spirit of the present invention.


The upper housing 20a and the lower housing base 20c may be combined together to form an assembled housing having the internal circuitry 20b therein. By way of example, the assembled housing may be hermetically sealed against the ingress of environmental elements, e.g., like water, moisture, etc. All interconnect ports may be sealed. The assembled housing may be configured to provide protection for reducing electromagnetic interference (EMI), e.g., from the transformer itself or other EMI emitting devices within range. The assembled housing may also be configured for easy transport, attachment, detachment and decommissioning, e.g., in relation to a utility pole or some other structure.


The transformer monitor/data collection device 20 may include an antenna/optical network 20b2 built into the internal circuitry 20b, or alternatively incorporated directly into either housing 20a or 20c, or alternatively located external to the housing assembly. Techniques for implementing a built-in antenna/optical network like element 20b2 into internal circuitry like element 20b, for incorporating an antenna/optical network directly into a housing like elements 20a or 20c, or for locating an external antenna/optical network to a housing assembly are known in the art, and the scope of the invention is not intended to be limited to any particular type or kind thereof either now known or later developed in the future.


In the transformer monitor/data collection device 20, external cables 20b3 may be configured for data and/or device power. Alternatively, the transformer monitor/data collection device 20 may also have an accommodation for wireless power transfer via inductance or tuned magnetic resonances. These data and power functionalities are provided by way of example; and the scope of the invention is not intended to be limited to the type or kind of data or power functionality implementation; and embodiments are envisioned using, and the scope of the invention is intended to include, other types or kinds of data or power functionality implementation either now known or later developed in the future within the spirit of the present invention.


FIG. 3: Implementation of Signal Processing Functionality

By way of example, FIG. 3 shows apparatus 100 according to some embodiments of the present invention, e.g., featuring a signal processor or processing module 102 configured at least to:

    • receive wireless signaling containing information about collected data, including some combination of electrical signaling data related to electrical signaling being processed by a transformer located and arranged in a grid network and to which the apparatus is mounted, metered data related to associated electrical signaling being provided from the transformer to a building or structure in the grid network, and other wireless network data related to other wireless network communication devices/nodes deployed in the grid network; and
    • determine corresponding signaling containing information about collected data for transmitting back to a central location or other connection/communication device for further processing, based upon the signaling received


In operation, the signal processor or processing module may be configured to provide corresponding signaling containing information about the collected data for transmitting back to a central location or other connection device for further processing.


By way of example, the functionality of the apparatus 100 may be implemented using hardware, software, firmware, or a combination thereof. In a typical software implementation, the apparatus 100 may include one or more microprocessor-based architectures, e.g., having at least one signal processor or microprocessor like element 102. A person skilled in the art would be able to program with suitable program code such a microcontroller-based, or microprocessor-based, implementation to perform the functionality described herein without undue experimentation.


Moreover, and by way of further example, the signal processor or processing module 102 may be configured, e.g., by a person skilled in the art without undue experimentation, to receive the signaling containing information about the collected data, including some combination of the electrical signaling data related to the electrical signaling being processed by the transformer located and arranged in the grid network and to which the apparatus is mounted, the metered data related to the associated electrical signaling being provided from the transformer to the building or structure in the grid network, and the other wireless network data related to the other wireless network communication devices/nodes deployed in the grid network, consistent with that disclosed herein.


Moreover still, and by way of still further example, the signal processor or processing module 102 may be configured, e.g., by a person skilled in the art without undue experimentation, to determine the corresponding signaling containing information about the collected data for transmitting back to the central location or other connection device for further processing, based upon the signaling received, consistent with that disclosed herein.


The scope of the invention is not intended to be limited to any particular implementation using technology either now known or later developed in the future. The scope of the invention is intended to include implementing the functionality of the processors 102 as stand-alone processor, signal processor, or signal processor module, as well as separate processor or processor modules, as well as some combination thereof.


The apparatus 100 may also include, e.g., other signal processor circuits or components 104, including random access memory or memory module (RAM) and/or read only memory (ROM), input/output devices and control, and data and address buses connecting the same, and/or at least one input processor and at least one output processor, e.g., which would be appreciate by a person skilled in the art.


FIG. 4

In summary, FIGS. 4A though 4C that show the basic operation of the present invention, according to some embodiments. FIG. 4A shows the transformer monitor/data collection device 20 in interaction with residential and commercial locations, according to some embodiments of the present invention.


Residential Home

By way of example re a residential location, FIGS. 4A and 4B show a residential transformer 12 arranged on a utility pole 14 that supplies electric power to a residential home 16, where electrical energy is measured by an electric meter 18. In FIGS. 4A and 4B, the pole top residential transformer 12 may take the form of a single phase residential transformer, and the electric meter 18 may be configured as a single phase electric meter. The electric meter 18 may also be configured to provide electric meter signaling containing information about the amount of electricity used by the residential home 16. The electric meter 18 may be configured to provide such electric meter signaling to the transformer monitor/smart data collector device 20 in a data structure that is presently known in the art. Alternatively, the electric meter 18 may be configured to form part of a digital data and delivery and receipt mesh network like element 50, according to the present invention, and may be configured to provide such electric meter signaling to the transformer monitor/smart data collector device 20 in a data structure that is consistent with the data structure protocol of the digital data and delivery and receipt mesh network, according to the present invention. By way of example, the data structure protocol may include, or take the form of, the smart node power grid communication protocol, consistent with that disclosed herein


By way of example, the digital data and delivery and receipt mesh network may be configured like that shown in FIGS. 1A and 1B. In FIGS. 4A and 4B, the utility pole mounted transformer monitor/smart data collector device 20 may be coupled to the pole top residential transformer 12, according to the present invention. FIGS. 4A and 4B also show a single phase utility line 11 configured to couple the residential home 16 and the single phase electric meter 18 to the residential transformer 12 and the pole mounted transformer monitor/smart data collector device 20, e.g., providing power from the single phase electricity from the residential transformer 12 to the residential home 16, and also providing meter data signaling containing information about meter data from the residential home 16 back to the pole mounted transformer monitor/smart data collector device 20. In operation, the pole mounted transformer monitor/smart data collector device 20 monitors the power flow of electrical energy through the residential home 16 to the electrical meter 18. FIGS. 4A and 4B also show that the pole mounted transformer monitor/smart data collector device 20 also collects the meter data received back from the electrical meter 18 and transmits the meter data in data packets wirelessly over the air to a cloud-based analytic platform 30, for cooperating with, and exchanging the collected data to, the digital data and delivery and receipt mesh network 40, e.g., using the smart node power grid communication protocol, as shown in FIG. 4B.


Commercial Building

By way of further example re a commercial location, FIGS. 4A and 4C show a corresponding transformer monitor/smart data collector device 20 for a commercial building using three (3) phases (e.g., labeled phase A, B and C) of power also monitors the power flow to such a commercial building.


In FIGS. 4A and 4C, the commercial location includes a transformer 22 that is shown as a pad mounted transformer for mounting in relation to some part of the commercial building 16. The transformer 22 is shown as a three phase commercial transformer having the corresponding transformer monitor/smart data collector device 20 coupled thereto, according to the present invention. FIGS. 4A and 4C also show the commercial building 16 having a three phase electric meter 28 that is coupled to the three phase commercial transformer 22 and the transformer monitor/smart data collector device 20 via a three phase utility line 21 that may include a meter data line for providing the meter data, according to the present invention. In operation, the mounted transformer monitor/smart data collector device 20 monitors the power flow of electrical energy through the commercial building to the electrical meter 28. In FIGS. 4A and 4C, the three phase utility line 21 may be configured so that the meter data line provides meter data signaling containing information about meter data from the commercial building 26 back to the transformer monitor/smart data collector device 20. In FIGS. 4A and 4C, the transformer monitor/smart data collector device 20 may also act as a data collector to transmit the power used back to such a cloud-based analytic platform for cooperating with, and exchanging the collected data to, the digital data and delivery and receipt mesh network 40, e.g., using the smart node power grid communication protocol, as shown in FIG. 4B.


Other Related Applications

The application is related to other patent applications, some of which are identified above, that together form part of the overall family of technologies developed by one or more of the inventors herein, and disclosed in the following applications:

    • U.S. provisional application Ser. No. 62/203,719 (WFMB No. 756-2.3-1), filed 11 Aug. 2015, entitled “Enhanced reality system for visualizing, evaluating, diagnosing, optimizing and servicing smart grids and incorporated components;”
    • U.S. provisional application Ser. No. 62/205,358 (WFMB No. 756-2.4-1), filed 14 Aug. 2015, entitled “Integrated solution of Internet of Things, DSGN™, and iDAP™ pertaining to Communication, Data and Asset Serialization, and Delta Data Modeling Algorithms;”
    • U.S. provisional application Ser. No. 62/213,815 (WFMB No. 756-2.5-1), filed 3 Sep. 2015, entitled “Novel application of line loss revenues for smart grid purchase and installation financing using proprietary analytics systems and hardware;”
    • U.S. application Ser. No. 62/236,420 (WFMB No. 756-2.6-1), filed 2 Oct. 2015, entitled “Supplemental and alternative digital data delivery and receipt mesh network realized through the placement of enhanced transformer mounted monitoring devices;”
    • U.S. provisional application Ser. No. 62/244,914 (WFMB No. 756-2.7-1), filed 22 Oct. 2015, entitled “Augmentation, expansion and self-healing of a geographically distributed mesh network using unmanned aerial vehicle (UAV) technology;”
    • U.S. provisional application Ser. No. 62/244,919 (WFMB No. 756-2.8-1), filed 22 Oct. 2015, entitled “Data transfer facilitation across a distributed mesh network using light and optical based technology;” and
    • [7] U.S. provisional application Ser. No. 62/299,348 (WFMB No. 756-2.10-1), filed 24 Feb. 2016, entitled “Distributed 802.11s mesh network using hypersprout hardware for the capture and transmission of data;”


which are all assigned to the assignee of the instant patent application, and which are all incorporated by reference in their entirety.


The Scope of the Invention

It should be understood that, unless stated otherwise herein, any of the features, characteristics, alternatives or modifications described regarding a particular embodiment herein may also be applied, used, or incorporated with any other embodiment described herein. Also, the drawing herein is not drawn to scale.


Although the invention has been described and illustrated with respect to exemplary embodiments thereof, the foregoing and various other additions and omissions may be made therein and thereto without departing from the spirit and scope of the present invention.

Claims
  • 1. An apparatus comprising: internal circuitry comprising transformer monitoring circuitry, smart grid collection circuitry, and radio, optical or other wireless mesh networking circuitry, the internal circuitry configured to:receive signaling containing information about collected data, including:electrical signaling data from a transformer related to electricity being processed by the transformer located and arranged in a grid network,metered data from at least one electric meter related to associated electrical signaling being provided from the transformer to a building or structure in the grid network, andother wireless network data from other wireless network communication devices deployed in and around the grid network, the other wireless network data being unrelated to the electricity being processed by the transformer and unrelated to the metered data; anddetermine the signaling containing the information about the collected data for transmitting back to a central location or other connection device for further processing, based upon the signaling received;wherein the internal circuitry is configured to establish a wireless mesh network accessible to the other wireless network communication devices, collect the other wireless network data from the other wireless network communication devices deployed in the wireless mesh network and communicate the collected other wireless network data back to the central location or the other connection device, wherein the wireless mesh network established by the apparatus further comprises the at least one electric meter and the other wireless network communication devices as communication nodes in the wireless mesh network which are configured to exchange the signaling received from the apparatus between themselves in the wireless mesh network and configured to exchange the signaling directed towards the apparatus between themselves in the wireless mesh network;wherein the wireless mesh network established by the apparatus is configured to provide Internet connectivity capability to the other wireless network communication devices.
  • 2. The apparatus according to claim 1, wherein the internal circuitry is further configured to backhaul the signaling to the central location or the other connection device for further processing, including where the signaling is wireless signaling.
  • 3. The apparatus according to claim 2, wherein the apparatus is a transformer monitor, communication and data collection device comprising: a transceiver, a transmitter and the internal circuitry configured to backhaul.
  • 4. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device comprises a housing with a magnet or bolt attachment for attaching the housing to a corresponding housing of the transformer located and arranged in the grid network.
  • 5. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device comprises a housing that is waterproof and environmentally sealed and that contains the internal circuitry therein.
  • 6. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device comprises an upper housing, a lower housing base and the internal circuitry configured to implement transmission, reception, networking and data aggregation, and sensor input signal processing functionality.
  • 7. The apparatus according to claim 6, wherein the internal circuitry further includes, or forms part of, a built-in antenna and optical network that is either incorporated directly into the upper housing or the lower housing base or located externally to the upper housing or the lower housing base.
  • 8. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device comprises one or more cables configured to provide for data and device power.
  • 9. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device comprises a wireless power transfer module configured for wireless power transfer via inductance or tuned magnetic resonance.
  • 10. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device is configured to receive digital data from and transmit digital data to the other wireless network communication devices, and wherein the other wireless network communication devices comprise one or more of a smart phone, tablet, computer, laptop, set-top box, home automation device, or other digital device.
  • 11. The apparatus according to claim 3, wherein the wireless mesh network is configured to provide Internet connectivity capability to the other wireless network communication devices deployed in the wireless mesh network.
  • 12. The apparatus according to claim 3, wherein the transformer monitor, communication and data collection device is a central node for aggregating data from each of the wireless network communication devices in the wireless mesh network, which comprises the at least one electric meter, and the other wireless network communication devices comprise one or more of a smart phone, tablet, computer, laptop, set-top box, home automation device, or other digital device.
  • 13. The apparatus according to claim 2, wherein the internal circuitry is further configured to provide the signaling to the central location or the other connection device for further processing via wireless signal, including via a cloud network.
  • 14. The apparatus according to claim 1, wherein the metered data is received from the at least one electric meter associated with the building or structure, a gas meter, or a water meter.
  • 15. The apparatus according to claim 14, wherein the metered data is received either from a single phase residential electric meter associated with a residential building, or a three-phase commercial electric meter associated with a commercial structure.
  • 16. The apparatus according to claim 1, wherein the signaling further comprises associated information about a distribution of the associated electrical signaling in the grid network.
  • 17. The apparatus according to claim 16, wherein the associated information includes distribution information about a power outage, a voltage of the associated electrical signaling, and/or transformer monitoring, including voltage analysis, digital rights management (DRM) or energy theft.
  • 18. The apparatus according to claim 17, wherein the apparatus comprises the central location or the other connection device configured with a corresponding signal processor to receive the signaling and determine utility analyst information that relates to a delivery substation analysis, proactive asset monitoring, distribution asset utilization, transmission and distribution (T&D) substation analysis, energy audits and analysis, load control and/or geographic localization.
  • 19. The apparatus according to claim 18, wherein the corresponding signal processor is configured to provide power utility signaling containing information about conservation, load curtailment and/or a demand response for controlling a power utility.
  • 20. The apparatus according to claim 1, wherein the apparatus is a node in the wireless mesh network comprising: a first transformer mounted monitor, communication and data collection device having the internal circuitry;a second transformer mounted monitor, communication and data collection device having a second internal circuitry configured to implement signal processing functionality corresponding to the internal circuitry in relation to a second transformer and providing second corresponding signaling containing second corresponding information about second corresponding collected data related to second corresponding electrical signaling and second corresponding associated electrical signaling for further processing back at the central location or the other connection device; andeither the first transformer mounted monitor, communication and data collection device provides the signaling to the second transformer mounted monitor, communication and data collection device for providing back to the central location or the other connection device, orthe second transformer mounted monitor, communication and data collection device provides the second corresponding signaling to the first transformer mounted monitor, communication and data collection device for providing back to the central location or the other connection device.
  • 21. The apparatus according to claim 1, wherein the other wireless network communication devices comprise one or more of a smart phone, tablet, computer, laptop, set-top box, home automation device, or other digital device.
  • 22. The apparatus according to claim 1, wherein the other wireless network communication devices comprise one or more of a smart phone, tablet, computer, laptop, set-top box.
CROSS REFERENCE TO RELATED APPLICATION

This application claims benefit to U.S. provisional application No. 62/203,101 (WFMB No. 756-002.002-1), filed 10 Aug. 2015, which is hereby incorporated by reference in its entirety. The present invention forms part of, and builds on, the family of technologies disclosed in the other related applications identified below.

US Referenced Citations (286)
Number Name Date Kind
2704809 Williams Mar 1955 A
4724381 Crimmins Feb 1988 A
5426360 Maraio et al. Jun 1995 A
5748104 Argyroudis et al. May 1998 A
5940009 Loy et al. Aug 1999 A
6018449 Nelson et al. Jan 2000 A
6211764 Schweitzer, Jr. Apr 2001 B1
6300881 Yee et al. Oct 2001 B1
6549120 de Buda Apr 2003 B1
6711512 Noh Mar 2004 B2
6829491 Yea et al. Dec 2004 B1
6856256 Winkler Feb 2005 B2
6880086 Kidder et al. Apr 2005 B2
6906630 Georges et al. Jun 2005 B2
6998962 Cope et al. Feb 2006 B2
7049976 Hunt et al. May 2006 B2
7054770 Swarztrauber et al. May 2006 B2
7058524 Hayes et al. Jun 2006 B2
7107329 Schroder et al. Sep 2006 B1
7126558 Dempski Oct 2006 B1
7271735 Rogai Sep 2007 B2
7304587 Boaz Dec 2007 B2
7310052 Bowman Dec 2007 B2
7379981 Elliott et al. May 2008 B2
7402993 Morrison Jul 2008 B2
7440436 Cheng et al. Oct 2008 B2
7496078 Rahman Feb 2009 B2
7733839 Frank et al. Jun 2010 B1
7747534 Villicana et al. Jun 2010 B2
7764943 Radtke Jul 2010 B2
7894371 Bonta et al. Feb 2011 B2
7936163 Lee, Jr. May 2011 B2
7940039 de Buda May 2011 B2
7961740 Flammer, III et al. Jun 2011 B2
8054199 Addy Nov 2011 B2
8060259 Budhraja et al. Nov 2011 B2
8102148 Hershey et al. Jan 2012 B2
8111157 Diener et al. Feb 2012 B2
8121741 Taft et al. Feb 2012 B2
8145732 Kumar et al. Mar 2012 B2
8194275 Furst et al. Jun 2012 B2
8279870 Flammer, III et al. Oct 2012 B2
8305932 Qiu et al. Nov 2012 B2
8311863 Kemp Nov 2012 B1
8370697 Veillette Feb 2013 B2
8373575 Boettner et al. Feb 2013 B2
8385978 Leung et al. Feb 2013 B2
8401709 Cherian et al. Mar 2013 B2
8412735 Yeh et al. Apr 2013 B2
8423637 Vaswani et al. Apr 2013 B2
8428021 Karunakaran et al. Apr 2013 B2
8437883 Powell et al. May 2013 B2
8441372 Smith et al. May 2013 B2
8452555 Swarztrauber et al. May 2013 B2
8509953 Taft Aug 2013 B2
8543250 Seo et al. Sep 2013 B2
8553561 Chokshi et al. Oct 2013 B1
8566046 Deaver, Sr. Oct 2013 B2
8583520 Forbes, Jr. Nov 2013 B1
8600572 Sri-Jayantha Dec 2013 B2
8660868 Vogel et al. Feb 2014 B2
8755303 Hughes et al. Jun 2014 B2
8792626 Cook et al. Jul 2014 B2
8847826 Rao et al. Sep 2014 B2
8855102 Borleske et al. Oct 2014 B2
8862281 Yoneda et al. Oct 2014 B2
8874477 Hoffberg Oct 2014 B2
8880234 Sekoguchi et al. Nov 2014 B2
8909358 Karnouskos Dec 2014 B2
8917716 Tran Dec 2014 B2
8937497 Tobin Jan 2015 B1
8959114 Rehman Feb 2015 B2
8963807 Lee et al. Feb 2015 B1
8964757 Watson et al. Feb 2015 B2
8965590 Boardman et al. Feb 2015 B2
8970394 Veillette Mar 2015 B2
9002670 Hurri et al. Apr 2015 B2
9013173 Veillette Apr 2015 B2
9014996 Kamel et al. Apr 2015 B2
9031116 Young et al. May 2015 B2
9043174 Arya et al. May 2015 B2
9052216 Kamel et al. Jun 2015 B2
9087451 Jarrell Jul 2015 B1
9110101 Pietrowicz et al. Aug 2015 B2
9112381 Carralero et al. Aug 2015 B2
9118219 Booth Aug 2015 B2
9129355 Harvey et al. Sep 2015 B1
9141653 Zhou et al. Sep 2015 B2
9144082 Rubin et al. Sep 2015 B2
9162753 Panto et al. Oct 2015 B1
9400192 Salser, Jr. et al. Jul 2016 B1
9400867 Boyd et al. Jul 2016 B2
9402292 Gordin et al. Jul 2016 B1
9451060 Bowers et al. Sep 2016 B1
9500716 Turner et al. Nov 2016 B2
9654173 Barzegar et al. May 2017 B2
9961572 Foster et al. May 2018 B2
10055869 Borrelli et al. Aug 2018 B2
10055966 Foster et al. Aug 2018 B2
20010038342 Foote Nov 2001 A1
20020046368 Friedrich et al. Apr 2002 A1
20020064010 Nelson et al. May 2002 A1
20020106018 D'Luna et al. Aug 2002 A1
20030050737 Osann, Jr. Mar 2003 A1
20030078996 Baldwin Apr 2003 A1
20030128149 Miceli et al. Jul 2003 A1
20040057491 Stenestam Mar 2004 A1
20040082203 Logvinov et al. Apr 2004 A1
20050078624 Shu et al. Apr 2005 A1
20050088299 Bandy et al. Apr 2005 A1
20060007016 Borkowski et al. Jan 2006 A1
20060056363 Ratiu et al. Mar 2006 A1
20060141940 Bloom et al. Jun 2006 A1
20060145834 Berkman Jul 2006 A1
20070043849 Lill et al. Feb 2007 A1
20070048702 Jang et al. Mar 2007 A1
20070088630 MacLeod et al. Apr 2007 A1
20070229295 Curt et al. Oct 2007 A1
20080065342 Zalitzky et al. Mar 2008 A1
20080100436 Banting et al. May 2008 A1
20080106425 Deaver et al. May 2008 A1
20080109387 Deaver et al. May 2008 A1
20080272934 Wang et al. Nov 2008 A1
20080317047 Zeng et al. Dec 2008 A1
20090003662 Joseph et al. Jan 2009 A1
20090088907 Lewis et al. Apr 2009 A1
20090102680 Roos Apr 2009 A1
20090111456 Shaffer et al. Apr 2009 A1
20090119068 Banting May 2009 A1
20090135836 Veillette May 2009 A1
20090146839 Reddy et al. Jun 2009 A1
20090167558 Borleske et al. Jul 2009 A1
20090187284 Kreiss et al. Jul 2009 A1
20090240449 Gibala et al. Sep 2009 A1
20090256686 Abbot et al. Oct 2009 A1
20090267792 Crichlow Oct 2009 A1
20090312881 Venturini Cheim et al. Dec 2009 A1
20100074176 Flammer, III et al. Mar 2010 A1
20100278187 Hart et al. Nov 2010 A1
20100313146 Nielsen et al. Dec 2010 A1
20110026500 Shaffer et al. Feb 2011 A1
20110047230 McGee Feb 2011 A1
20110066297 Saberi et al. Mar 2011 A1
20110090833 Kneckt et al. Apr 2011 A1
20110095867 Ahmad Apr 2011 A1
20110208367 Sackman et al. Aug 2011 A1
20110255417 Mohan et al. Oct 2011 A1
20120007885 Huston Jan 2012 A1
20120029897 Cherian et al. Feb 2012 A1
20120050971 Seal et al. Mar 2012 A1
20120058790 Junnell et al. Mar 2012 A1
20120059609 Oh et al. Mar 2012 A1
20120078686 Bashani Mar 2012 A1
20120089268 Torre et al. Apr 2012 A1
20120092114 Matthews Apr 2012 A1
20120106394 Apostolakis May 2012 A1
20120126790 Sobotka et al. May 2012 A1
20120126994 Sobotka et al. May 2012 A1
20120131324 Ansari et al. May 2012 A1
20120229089 Bemmel et al. Sep 2012 A1
20120229296 Ree Sep 2012 A1
20120230237 Gong et al. Sep 2012 A1
20120242698 Haddick et al. Sep 2012 A1
20120249741 Maciocci et al. Oct 2012 A1
20120253881 Schneider et al. Oct 2012 A1
20120265355 Bernheim et al. Oct 2012 A1
20120277926 Nielsen et al. Nov 2012 A1
20120286770 Schroder et al. Nov 2012 A1
20120297481 Boot et al. Nov 2012 A1
20120303746 Yu et al. Nov 2012 A1
20120316688 Boardman et al. Dec 2012 A1
20120316696 Boardman et al. Dec 2012 A1
20130026986 Parthasarathy et al. Jan 2013 A1
20130035802 Khaitan et al. Feb 2013 A1
20130069985 Wong et al. Mar 2013 A1
20130077610 Amini et al. Mar 2013 A1
20130103660 Welsh et al. Apr 2013 A1
20130106617 Heo et al. May 2013 A1
20130110837 Dai et al. May 2013 A1
20130123998 King et al. May 2013 A1
20130190939 Lenox Jul 2013 A1
20130203378 Vos et al. Aug 2013 A1
20130218495 Boone et al. Aug 2013 A1
20130222215 Kobayashi Aug 2013 A1
20130223334 Guo et al. Aug 2013 A1
20130278437 Wyk Oct 2013 A1
20130278631 Border et al. Oct 2013 A1
20130289782 Giroti Oct 2013 A1
20130297087 Koster et al. Nov 2013 A1
20130297239 Arya et al. Nov 2013 A1
20130297868 Yin et al. Nov 2013 A1
20130304264 Shao Nov 2013 A1
20130315057 Popa et al. Nov 2013 A1
20130335062 de Buda et al. Dec 2013 A1
20140067330 Flammer, III Mar 2014 A1
20140092765 Agarwal et al. Apr 2014 A1
20140098685 Shattil Apr 2014 A1
20140129160 Tran May 2014 A1
20140167977 Bean et al. Jun 2014 A1
20140172133 Snyder Jun 2014 A1
20140183964 Walley Jul 2014 A1
20140189722 Shetty Jul 2014 A1
20140233620 Bernheim et al. Aug 2014 A1
20140237525 Rothschild et al. Aug 2014 A1
20140241354 Shuman et al. Aug 2014 A1
20140244017 Freiwirth et al. Aug 2014 A1
20140244768 Shuman et al. Aug 2014 A1
20140244833 Sharma et al. Aug 2014 A1
20140259108 Clark et al. Sep 2014 A1
20140267400 Mabbutt et al. Sep 2014 A1
20140270749 Miniscalo et al. Sep 2014 A1
20140277813 Powell et al. Sep 2014 A1
20140279694 Gauger et al. Sep 2014 A1
20140289004 Monforte Sep 2014 A1
20140297206 Silverman Oct 2014 A1
20140300210 Abi-Ackel et al. Oct 2014 A1
20140300344 Turner et al. Oct 2014 A1
20140306525 Greer et al. Oct 2014 A1
20140312802 Recker et al. Oct 2014 A1
20140320306 Winter Oct 2014 A1
20140334073 Thompson et al. Nov 2014 A1
20140358315 Liu et al. Dec 2014 A1
20140361907 Bernheim Dec 2014 A1
20140368189 Bernheim et al. Dec 2014 A1
20140371941 Keller et al. Dec 2014 A1
20140372583 Tseng Dec 2014 A1
20140376405 Erickson et al. Dec 2014 A1
20140376914 Miniscalo Dec 2014 A1
20140380488 Datta Ray et al. Dec 2014 A1
20150002186 Taft Jan 2015 A1
20150019342 Gupta Jan 2015 A1
20150019553 Shaashua et al. Jan 2015 A1
20150058445 Choi et al. Feb 2015 A1
20150063202 Mazzarella et al. Mar 2015 A1
20150066772 Griffin et al. Mar 2015 A1
20150094874 Hall et al. Apr 2015 A1
20150094968 Jia et al. Apr 2015 A1
20150095936 Yu et al. Apr 2015 A1
20150112469 Da Silva Neto et al. Apr 2015 A1
20150121470 Rongo et al. Apr 2015 A1
20150127601 McGill et al. May 2015 A1
20150142963 Choi et al. May 2015 A1
20150148979 Forbes, Jr. May 2015 A1
20150149396 Arya et al. May 2015 A1
20150155713 Forbes, Jr. Jun 2015 A1
20150163849 Bauer et al. Jun 2015 A1
20150179062 Ralston et al. Jun 2015 A1
20150200713 Hui et al. Jul 2015 A1
20150200846 Hui et al. Jul 2015 A1
20150220762 Jiang et al. Aug 2015 A1
20150249595 Geiger Sep 2015 A1
20150256433 Sum et al. Sep 2015 A1
20150256435 Sum et al. Sep 2015 A1
20150276433 Brahmajosyula et al. Oct 2015 A1
20150281996 Rubin et al. Oct 2015 A1
20150288532 Veyseh et al. Oct 2015 A1
20150288825 Cook Oct 2015 A1
20150294557 Willig et al. Oct 2015 A1
20150311951 Hariz Oct 2015 A1
20150370615 Pi-Sunyer Dec 2015 A1
20150373521 Olesen et al. Dec 2015 A1
20150373641 Yamana et al. Dec 2015 A1
20160029384 Sidhu et al. Jan 2016 A1
20160081127 Lee et al. Mar 2016 A1
20160094402 Finkelstein Mar 2016 A1
20160094879 Gerszberg Mar 2016 A1
20160134932 Karp et al. May 2016 A1
20160198245 Rhoads et al. Jul 2016 A1
20160205106 Yacoub et al. Jul 2016 A1
20160214715 Meffert Jul 2016 A1
20160261425 Horton et al. Sep 2016 A1
20160292205 Massey et al. Oct 2016 A1
20160327603 Sonderegger et al. Nov 2016 A1
20160337354 Smadja et al. Nov 2016 A1
20160360361 Ross et al. Dec 2016 A1
20160366461 Hu et al. Dec 2016 A1
20170003142 Allcorn et al. Jan 2017 A1
20170108236 Guan et al. Apr 2017 A1
20170134092 Foster et al. May 2017 A1
20170223807 Recker et al. Aug 2017 A1
20170237612 Foster Aug 2017 A1
20170302511 Foster Oct 2017 A1
20170339536 Lewis et al. Nov 2017 A1
20180132015 Borrelli et al. May 2018 A1
20180267494 Meranda et al. Sep 2018 A1
20180366978 Matan et al. Dec 2018 A1
Foreign Referenced Citations (53)
Number Date Country
101860978 Oct 2010 CN
102255869 Nov 2011 CN
102355682 Feb 2012 CN
102412530 Apr 2012 CN
102508989 Jun 2012 CN
202513670 Oct 2012 CN
103078673 May 2013 CN
103209385 Jul 2013 CN
103313437 Sep 2013 CN
103488988 Jan 2014 CN
103810753 May 2014 CN
203965904 Nov 2014 CN
104238730 Dec 2014 CN
104333733 Feb 2015 CN
204142366 Feb 2015 CN
204203734 Mar 2015 CN
104485746 Apr 2015 CN
104581087 Apr 2015 CN
204465736 Jul 2015 CN
204595654 Aug 2015 CN
2296069 Mar 2011 EP
2818878 Dec 2014 EP
2721772 Oct 2015 EP
20130108769 Oct 2013 KR
2009059386 May 2009 WO
2010003452 Jan 2010 WO
2011079358 Jul 2011 WO
2012047089 Apr 2012 WO
2012122454 Sep 2012 WO
2012142586 Oct 2012 WO
2012154938 Nov 2012 WO
2012155126 Nov 2012 WO
2013019595 Feb 2013 WO
2013028407 Feb 2013 WO
2013123445 Aug 2013 WO
2013173230 Nov 2013 WO
WO 2013173230 Nov 2013 WO
2014056558 Apr 2014 WO
2014091434 Jun 2014 WO
2014118622 Aug 2014 WO
2014123737 Aug 2014 WO
2014124318 Aug 2014 WO
2014130568 Aug 2014 WO
2014169018 Oct 2014 WO
2014175721 Oct 2014 WO
2015032164 Mar 2015 WO
2015046695 Apr 2015 WO
2015073687 May 2015 WO
2015105658 Jul 2015 WO
2015123623 Aug 2015 WO
2015131462 Sep 2015 WO
2015138447 Sep 2015 WO
2015161083 Oct 2015 WO
Non-Patent Literature Citations (51)
Entry
Gridsense, “Maximize Intelligence and Minimize Costs at the Distribution Level,” http://www.gridsense.com/solutions-products/transformer-monitoring/distribution-transformer-monitoring/, accessed Oct. 13, 2015, 3 pages.
Balakrishnan et al., “Models for Planning Capacity Expansion in Local Access Telecommunication Networks,” Massachusetts Institute of Technology Sloan School Working Paper #3048-89-MS, Aug. 1989, 88 pages.
Corte-Real et al., “Network flow models for the local access network expansion problem,” Computers & Operations Research vol. 34, 2007, pp. 1141-1157.
Bauer, “Bundling, Differentiation, Alliances and Mergers: Convergence Strategies in U.S. Communication Markets,” Communications & Strategies, No. 60, Dec. 2005, online at http://mpra.ub.uni-muenchen.de/2515/, pp. 59-93.
Balakrishnan et al., “Models for Planning the Evolution of Local Telecommunication Networks,” Massachusetts Institute of Technology Operations Research Center working paper, OR195-89, May 1989, 80 pages.
“Smart meter,” http://en.wikipedia,org/wiki/Smart_meter, Nov. 10, 2009, 4 pages.
Smart Grid Northwest, “Qualitrol,” http://smartgridnw.org/membership/member-organizations/qualitrol/, accessed Oct. 13, 2015, 3 pages.
Devidas, A. R. and Ramesh, M. V., “Wireless Smart Grid Design for Monitoring and Optimizing Electric Transmission in India,” 2010 Fourth International Conference on Sensor Technologies and Applications, Jul. 18-25, 2010, Venice, IEEE, pp. 637-640 (2 pages).
Erol-Kantarci, M. and Mouftah, H. T., “Wireless Multimedia Sensor and Actor Networks for the Next Generation Power Grid,” Ad Hoc Networks, vol. 9, Issue 4, Jun. 2011, pp. 542-551 (2 pages).
Gungor, V. C., Lu, B. and Hancke, G. P., “Opportunities and Challenges of Wireless Sensor Networks in Smart Grid,” IEEE Transactions on Industrial Electronics, vol. 57, No. 10, Oct. 2010, pp. 3557-3564.
Nasipuri, A. et al., “Demo Abstract: Wireless Sensor Network for Substation Monitoring: Design and Deployment,” ResearchGate Conference Paper, Jan. 2008 (3 pages).
Detlef Zuehlke, “SmartFactory—Towards a factory-of-things.” Annual Reviews in Control, 34.1, Mar. 28, 2010, pp. 129-138.
Artem Katasonov, et al., “Smart Semantic Middleware for the Internet of Things”, Jan. 2008, 11 pages.
Andrea Zanella, et al., “Internet of Things for Smart Cities.” IEEE Internet of Things Journal, vol. 1, Iss. 1, Feb. 2014, pp. 22-32.
Dieter Uckelmann, et al., “An Architectural Approach Towards the Future Internet of Things.” Architecting the Internet of Things, Springer-Verlag Berlin Heidelberg, 2011, pp. 1-24.
Ning Zhong, et al., “Research challenges and perspectives on Wisdom Web of Things (W2T).” The Journal of Supercomputing, Nov. 26, 2010, 21 pages.
International Search Report and Written Opinion, International Application No. PCT/US2017/46991, dated Nov. 21, 2017 (8 pages).
International Search Report and Written Opinion dated May 26, 2017 in international patent application No. PCT/US2017/019434 (10 pages).
International Search Report and Written Opinion dated Dec. 9, 2016 in nternational patent application No. PCT/US2016/046509 (13 pages).
International Search Report and Written Opinion dated Dec. 19, 2016 in international patent application No. PCT/US16/50393 (11 pages).
International Search Report and Written Opinion dated Jan. 23, 2017 in international patent application No. PCT/US2016/049245 (16 pages).
International Search Report and Written Opinion dated Jan. 19, 2017 in international patent application No. PCT/US2016/058407 (16 pages).
International Search Report and Written Opinion dated Jan. 25, 2017 in international patent application No. PCT/US2016/058383 (13 pages).
St. John, Jeff, “How Utilities Could Use Virtual Reality and Google Glass to Monitor the Grid,” Mar. 3, 2015, 6 pages.
Infobright, “Internet of Things Part 8: Smart Grids—the Future of Energy Delivery,” 2014, 2 pages, https://www.infobright.com/index.php/internet-of-things-part-8-smart-grids-future-energy-delivery/#.VdHztvlVhBd.
Monnier, Olivier, “A Smarter Grid With the Internet of Things,” Texas Instruments, Oct. 2013, 11 pages.
Jiang, R. et al., “Energy-theft detection issues for advanced metering infrastructure in smart grid,” IEEE, Tsinghua Science and Technology, vol. 19, Issue 2, Apr. 15, 2014 (16 pages).
Blumsack, S. et al., Abstract of “Ready or not, here comes the smart grid!” Energy, vol. 37, Issue 1, Jan. 2012 (pp. 61-68).
McLaughlin, S. et al., “Energy theft in the advanced metering infrastructure,” Abstract, Critical Information Infrastructures Security, Sep. 30, 2009 (pp. 176-187).
Amin, R. et al., “Roadmap to Smart Grid Technology: A Review of Smart Information and Communication System,” International Journal of Control and Automation, vol. 7, No. 8, 2014, pp. 407-418.
Elyengui, S. et al., “The Enhancement of Communication Technologies and Networks for Smart Grid Applications,” International Journal of Emerging Trends & Technology in Computer Science, vol. 2, issue 6, Nov. 2013, pp. 107-115.
Qin, Z., “A Survey of Networking Issues in Smart Grid,” www.cse.wustl.edu/˜jain/cse570-13/ftp/smrtgrid/index.html, Dec. 20, 2013 (12 pages).
Lockheed Martin, “Self-Powered Ad-hoc Network”, http://www.lockheedmartin.com/us/products/span.html, accessed Nov. 9, 2015.
Owada, et al., “Design for Disaster-Tolerant and Dependable Network Architecture,” ICMU 2012, pp. 136-141, Information Processing Society of Japan, 2012.
Morganthaler, et al., “UAVNet: A Mobile Wireless Mesh Network Using Unmanned Aerial Vehicles,” available at http://rvs.unibe.ch/research/pub_files/MBZSA12.pdf, 2012.
Snow, “Why Drones Are the Future of the Internet of Things”, Dec. 1, 2014, available at https://www.suasnews.com/2014/12/why-drones-are-the-future-of-the-internet-of-things/.
Güngör, V. et al., “Smart Grid Technologies: Communication Technologies and Standards,” IEEE Transactions on Industrial Informatics, vol. 7, No. 4, Nov. 2011, pp. 529-539.
Güngör, V. et al., “A Survey on Communication Networks for Electric System Automation,” Feb. 2006, available at: https://smartech.gatech.edu/bitstream/handle/1853/27879/electric_system_automation.pdf.
Zaballos, A. et al., “Heterogeneous Communication Architecture for the Smart Grid,” IEEE Network, vol. 25, No. 5, Sep./Oct. 2011, pp. 30-37, available at: http://www.itk.ntnu.no/fag/TTK4545/TTK2/Pensum-filer/SmartGrid.pdf.
Clark, A. et al., “Wireless Networks for the Smart Energy Grid: Application Aware Networks,” Proceedings of the International MultiConference of Engineers and Computer Scientists, vol. 2, Mar. 17-19, 2010, available at: http://www.iaeng.org/publication/IMECS2010/IMECS2010_pp1243-1248.pdf.
Parikh, P. et al., “Opportunities and Challenges of Wireless Communication Technologies for Smart Grid Applications,” 2010, available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.453.7100&rep=rep1&type=pdf.
International Search Report dated Oct. 28, 2016 issued in counterpart international patent application No. PCT/US2016/045233 (3 pages).
Hafeez et al., “Smart Home Area Networks Protocols within the Smart Grid Context”, Sep. 2014, Journal of Communications, vol. 9, No. 9, pp. 665-671.
Spinsante et al., “NFC-Based User Interface for Smart Environments”, Feb. 24, 2015, Hindawi Publishing Corporation, Advances in Human-Computer Interaction, vol. 15, pp. 1-12.
Modoff et al., “Industry the Internet of Things”, May 6, 2014, Deutsche Bank Markets Research, (102 pages).
Tuohy, Jennifer, “What is home automation and how do I get started”, Jan. 26, 2015, Network World, (9 pages).
U.S. Appl. No. 16/372,911, filed Apr. 2, 2019, “Data Transfer Facilitation to and Across a Distributed Mesh Network Using a Hybrid TV White Space, Wi-Fi and Advanced Metering Infrastructure Construct” (43 pages).
Snyder, A.F., et al., “The ANSI C12 protocol suite—updated and now with network capabilities”, Mar. 2007 (available at http://horizontec.com/sccsmartgrid. 2yt4/2007-03ClemsonPSC02-snyder-mtgstuber.pdf) (6 pages).
Parag Kulkarni, et al., “A Mesh-Radio-Based Solution for Smart Metering Networks”, IEEE Communications Magazine, Jul. 2012, 10 pages.
Metz, Cade, “Facebook's Massive New Antennas Can Beam Internet for Miles,” https://www.wired.com/2016/04/facebooks-massive-new-antennas-can-beam-internet-miles/, Apr. 13, 2016.
Choubey, Neeraj, et al., “Introducing Facebook's new terrestrial connectivity systems—Terragraph and Project ARIES—Facembook Engineering,” https://engineering.fb.com/connectivity/introducing-facebook-s-new-terrestrial-connectivity-systems-terragraph-and-project-aries/, Apr. 13, 2016.
Related Publications (1)
Number Date Country
20170048598 A1 Feb 2017 US
Provisional Applications (1)
Number Date Country
62203101 Aug 2015 US