Networked lighting infrastructure for sensing applications

Information

  • Patent Grant
  • 9699873
  • Patent Number
    9,699,873
  • Date Filed
    Friday, June 17, 2016
    8 years ago
  • Date Issued
    Tuesday, July 4, 2017
    7 years ago
Abstract
A network using existing streetlights is described. Each street light becomes a node in the network, and each includes a power terminal for receiving electrical power, a light source coupled to the power terminal, a processor coupled to the power terminal, a network interface coupled between the processor and the network of lighting systems, and a sensor coupled to the processor for detecting a condition at the node, and in response providing information about that condition to the processor.
Description
BACKGROUND OF THE INVENTION

This invention relates to the use of street or other lighting systems as a basis for a network of sensors, platforms, controllers and software enabling functionality beyond lighting of outdoor or indoor spaces.


Industrialized countries throughout the world have extensive networks of indoor and outdoor lighting. Streets, highways, parking lots, factories, office buildings, and all types of facilities often have extensive indoor and outdoor lighting. Substantially all of this lighting until recently uses incandescent or high intensity discharge (HID) technology. Incandescent or HID lighting, however, is inefficient in conversion of electrical power to light output. A substantial fraction of the electrical power used for incandescent lighting is dissipated as heat. This not only wastes energy, but also often causes failure of the light bulbs themselves, as well as of the lighting apparatus.


As a result of these disadvantages, and the operating and maintenance cost efficiencies of light emitting diodes or other solid-state lighting technologies, many owners of large numbers of incandescent or HID light fixtures are converting them to use solid-state lighting. Solid-state lighting not only provides for longer life bulbs, thereby reducing labor costs for replacement, but the resulting fixtures also operate at low temperatures for longer periods, further reducing the need to maintain the fixtures. The assignee of this application provides lighting replacement services and devices to various municipalities, commercial and private owners, enabling them to operate their facilities with reduced maintenance costs and reduced energy costs.


BRIEF SUMMARY OF THE INVENTION

We have developed a networked sensor and application framework for deployment in street or other lighting systems. The architecture of our system allows deployment of a networked system within the lighting infrastructure already in place, or at the time of its initial installation. While the system is typically most advantageously deployed in outdoor street lighting, it also can be deployed indoors, for example, in a factory or office building. Also advantageously, when the system is deployed outdoors, it can be installed at a time when street lamp bulbs are changed from incandescent lighting to more efficient lighting, for example, using light emitting diodes (LEDs). The cost of replacing such incandescent bulbs is high, primarily due to the cost of labor and the necessity to use special equipment to reach each bulb in each street lamp. By installing the network described here at that time, the incremental cost vis-à-vis merely replacing the existing incandescent bulb with an bulb is minimal.


Because our system enables numerous different uses, we refer to the deployed network, sensors, controller and software system described here as a Lighting Infrastructure Application Framework (LIAF). The system uses lighting infrastructure as a platform for business and consumer applications implemented using a combination of hardware and software. The main components of the framework are the node hardware and software, sensor hardware, site specific or cloud based server hardware, network hardware and software and wide-area network resources that enable data collection, analysis, action invocation and communication with applications and users. Although the system is described here in the context of street lighting, it will be evident from the following description that the system has applicability to other environments, for example, in a parking garage or factory environment.


In a preferred embodiment, our system provides for a network of lighting systems using existing outdoor, parking structure and indoor industrial lights. Each light can become a node in the network, and each node includes a power control terminal for receiving electrical power, a light source coupled to the power control terminal, a processor coupled to the power control terminal, a network interface coupled between the processor and the network of lighting systems, and sensors coupled to the processor for detecting a conditions at the node. In some applications as described below, the network does not rely on a lighting system. In combination our system allows each node to convey information to other nodes and to central locations about the conditions at the nodes. Processing can therefore be distributed among the nodes in the LIAF.


We use a gateway coupled to the network interface of some LIAF nodes for providing information from the sensors at the nodes to a local or cloud based service platform where application software stores, processes, distributes and displays information. This software performs desired operations related to the conditions detected by the sensors at the nodes. In addition, the gateway can receive information from the service platform and provide that information to the each of the node platforms in its domain. That information can be used to facilitate maintenance of the light, control of the light, control cameras, locate unoccupied parking spaces, measure carbon monoxide levels or numerous other applications, several typical ones of which are described herein. The sensors collocated or in the proximity of the nodes can be used with controllers to control the light source, as well as to provide control signals to apparatus coupled to the node, e.g. lock or unlock a parking area. Multiple gateways can be used to couple multiple regions of the lighting system together for purposes of a single application.


Typically each node will include AC/DC converters to convert the supplied AC power to DC for use by the processor, sensors, etc. The gateways can communicate with each other through cellular, Wi-Fi or other means to the service platforms. The sensors are typically devices which detect particular conditions, for example, audio from glass breaking or car alarms, video cameras for security and parking related sensing, motion sensors, light sensors, radio frequency identification detectors, weather sensors or detectors thr other conditions.


In another embodiment we provide a network of sensors thr collecting information by using existing lighting systems having fixtures with light sources. The method includes replacing the source at each fixture with a module that includes a power control terminal connected to the power supply of the existing light fixture, a replacement light source, a processor, a network interface coupled to the processor, and sensors coupled to the processor. The sensors detect conditions at and around the node, and forward information about that condition to the processor. Preferably, the network interface of each module at each fixture is commonly coupled together using a broadband or cellular communications network. Using the communication network, information is collected from the sensors, and that information is provided over the network to application running on local servers at a site or servers in the cloud. A local or site based application server is referred to as Site Controller. Applications running on a Site Controller can manage data from one or more specific customer sites.


In a preferred embodiment, each module at each of the fixtures includes a controller and apparatus coupled to the controller, and the controller is used to cause actions to be performed by the apparatus. As mentioned above, signals can be transmitted from the computing device over the communication network to the modules and thereby to the controllers to cause an action to be performed by the apparatus of the lighting system.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 illustrates a portion of the overall architecture of a Lighting infrastructure Application Framework;



FIG. 2 illustrates the architecture of the system at a higher level;



FIG. 3 is a block diagram of the node platform;



FIG. 4 is a block diagram of the gateway platform;



FIG. 5 is a block diagram of the service platform;



FIG. 6 is a diagram illustrating a revenue model for lighting infrastructure applications;



FIG. 7 illustrates a parking garage application for a networked lighting system;



FIG. 8 illustrates a lighting maintenance application for a networked lighting system;



FIG. 9 illustrates a warehouse inventory application for a networked lighting system;



FIG. 10 illustrates an application of a networked lighting system for monitoring of a shipping terminal;



FIG. 11 is a block diagram illustrating the power monitoring and control circuitry at a node; and



FIG. 12 is a block diagram illustrating the application controller at a node.





DETAILED DESCRIPTION OF THE INVENTION

The Lighting infrastructure Application Framework described here is based on node, gateway and service architectures. The node architecture consists of a node platform which is deployed at various locations in the lighting infrastructure, e.g. at individual street light fixtures. At least some of the nodes include sensors that collect and report data to other nodes, and in some cases to higher levels in the architecture. For example, at the level of an individual node an ambient light sensor can provide information about lighting conditions at the location of the lighting fixture. A camera can provide information about events occurring at the node.



FIG. 1 illustrates a portion of the overall architecture of our system. As shown there a lighting node 10 includes a node platform in addition to the light source itself. The node platform includes sensors 30 of various types as selected by the owner of the lighting node 10, depending upon the particular application desired. In the illustration, a daylight sensor 31 and an occupancy sensor 32 are depicted. The lighting node may also include controllers 40 for performing functions in response to the sensors 30, or performing functions in response to control signals received from other sources. Three exemplary controllers are illustrated in the diagram, namely an irrigation control 42 for controlling an irrigation system, a gate control 45 for opening and closing a nearby gate, and a light controller 48. The light controller can be used to control the lighting source in node 10, for example, turning it off or on at different times of the day, dimming it, causing it to flash, sensing the condition of the light source itself to determine if maintenance is required, or providing other functionality. The sensors 30, controllers 40 power supply, and other desired components can be collectively assembled into a housing of the lighting fixture 10.


Other examples of control functions which these or similar controllers enable include: management of power distribution, measurement and monitoring of power, and demand/response management. The controllers can activate and deactivate sensors, and can measure and monitor the sensor outputs. In addition, the controllers provide management for communication functions such as gateway operation for software downloading and security administration, and for video and audio processing, for example detection or monitoring of events.


In the preferred embodiment the architecture of our networked system enables “plug-and-play” deployment of sensors at the lighting nodes. The Lighting Infrastructure Application Framework (LIAF) provides hardware and software to enable implementation of the sensor plug-and-play architecture. When new sensors are deployed, software and hardware manages the sensor, but the LIAF provides support for generic functions associated with the sensors. This can reduce or eliminate the need for custom hardware and software support for sensors. A sensor requires power, typically battery or wired tow voltage DC, and preferably the sensor generates analog or digital signals as output.


The LIAF allows deployment of sensors at lighting nodes without additional hardware and software components. In a preferred implementation, the LIAF provides DC Power to sensor as required. It also monitors the analog or digital interface associated with the sensor, as well as all other activities at the node.


The node platforms located at some of the lights are coupled together to a gateway platform 50. The gateway platform 50 communicates with the node platform using technology as described further below, but can include a wireless connection or a wired connection. The gateway 50 will preferably communicate with the Internet 80 using well-known communications technology 55 such as cellular data, Wi-Fi, GPRS, or other means. Of course, the gateway platform 50 does not need to be a stand-alone implementation. It can be deployed at a lighting node 10. The gateway platform provides wide area networking (WAN) functionality and can provide complex data processing functionality, in addition to the functions provided by the node platform.


The gateway platform 50 establishes communications with a Service Platform 90 enabling the node to provide data to, or receive instructions from, various applications 100. Service Platform 90 is preferably implemented in the cloud to enable interaction with applications 100. When a Service Platform 90 or a subset of the functionality is implemented locally at a site then it is referred to as Site Controller. Associated with the service platform are a variety of applications that offer end-user accessible functions. Owners, partners, consumers, or other entities can provide these applications. One typical application, for example, provides reports on current weather conditions at a node. The applications 100 are usually developed by others and licensed to the infrastructure owner, but they can also be provided by the node owner, or otherwise made available for use on various nodes.


Typical lighting related applications include lighting control, lighting maintenance, and energy management. These applications preferably run on the Service Platform 90 or Site Controller. There also can be partner applications—applications that have access to confidential data and to which the lighting infrastructure owners grant privileges. Such applications can provide security management, parking management, traffic reporting, environment reporting, asset management, logistics management, and retail data management to name a few. There are also consumer applications that enable consumers to have access to generic data, with access to this data granted, for example, by the infrastructure owner. Another type of application is owner-provided applications. These are applications developed and used by infrastructure owners, e.g. controlling traffic flow in a region or along a municipal street. Of course there can also be applications that use customized data from the framework.


The primary entities involved in the system illustrated in FIG. 1 are a lighting infrastructure owner, an application framework provider, an application or application service owner, and end users. Typical infrastructure owners include a municipality; a building owner, tenants, an electric utility, or other entities.



FIG. 2 is a diagram that illustrates the architecture of our system at a higher level. As shown in FIG. 2 groups of nodes 10 communicate with each other and to a gateway platform 50. The gateway communicates, in turn, through communication media 55 to the Internet 80. In a typical implementation as illustrated, there will be multiple sets of nodes 10, multiple gateways 50, multiple communication media 55, all commonly coupled together to the service platforms 90 available through the Internet 80. In this manner, multiple applications can provide a wide degree of functionality to individual nodes through the gateways in the system.



FIG. 2 also illustrates the networking architecture for an array of nodes. In the left-hand section 11 of the drawing an array of nodes 10 are illustrated. Solid lines among the nodes represent a data plane, which connects selected nodes to enable high local bandwidth traffic. These connections, for example, can enable the exchange of local video or data among these nodes. The dashed lines in section 11 represent a control plane, which connects all of the nodes to each other and provides transport for local and remote traffic, exchanging information about events, usage, node status, and enabling control commands from the gateway, and responses to the gateway, to be implemented.



FIG. 3 illustrates the node platform in more detail. The node infrastructure includes a power supply 12, typically implemented as an AC to DC converter. In the preferred implementation where the nodes are deployed at outdoor street lamps, AC power is the primary power supply to such street lamps. Because most of the sensors and controller structures use semiconductor-based components, power supply 12 converts the available AC power to an appropriate DC power level for driving the node components.


As also shown in FIG. 3, the array of sensors 30 and controllers 40 are connected to the power module 12 which can include an AC/DC converter as well as other well-known components. A processor running an application 15 coordinates operation of the sensors and controllers to implement the desired local functionality. It also provides communication via appropriate media to other node platforms. The application may also drive an LED driver circuit 16, coupled to an appropriate light source 18, operating under control of one of the controllers 40. An implementation might combine the power module 12 and the Light Controller Module 40 functionality into a single module. As indicated by the diagram, wired 46 and 47 connections and wireless 44 and 49 connections may be provided as desired.


In FIG. 3, the lighting infrastructure consists of a Light Source Module 16, 18, e.g. an LED assembly such as those commercially available from the assignee Sensity Systems Inc. Of course, third-party manufacturers can provide the Third-party Light Source Module 18 as well as other components. The module 16 may also be coupled to a controller 40. The sensors 30 associated with the nodes may be local to the node, or they can be remote. Controllers, other than the LED controller provided by the assignee Sensity Systems Inc., are typically remote and use wireless communications. A Processor Module 15, also referred to as a Node Application Controller, manages all the functions within the node. It also implements the administrative, data collection and action instructions associated with applications. Typically these instructions are delivered as application scripts to the controller. In addition, the software on the application controller provides activation, administration, security (authentication and access control) and communication functions. The Network Module 14 provides Radio Frequency (RF) based wireless communications to the other nodes. These wireless communications can be based on Neighborhood Area Network (NAN), WiFi, 802.15.4 or other technologies.



FIG. 4 is a block diagram of gateway platform 50. As suggested by the figure, and mentioned above, the gateway platform can be located at a node or located in its own housing separately from the nodes. In the diagram of FIG. 4, the components of the power module 12, Processor Module 15, LED Light Source Module 16 and Third-party Light Source Module 18 are shown again, as well as the Sensor Modules 30 and Controller Modules 40.


The gateway platform hardware and software components enable high bandwidth data processing and analytics using Media Module 105, e.g. at video rates, as well as Relay or WAN Gateway 110, in addition to the functions supported by the node platform. The gateway platform can be considered a node platform but with additional functionality. The high bandwidth data processing Media Module 105 supports video and audio data processing functions that can analyze, detect, record and report application specific events. The Relay or WAN Gateway 110 can be based on GSM, Wi-Fi, LAN to Internet, or other wide area networking technologies.



FIG. 5 is a block diagram of the service platform 90. The service platform 90 supports the application gateway 120 and a custom node application builder 130. The application gateway 120 manages interfaces to different types of applications implemented using the sensor and event data from the lighting nodes. A service platform 90 with Application Gateway 120 can be deployed as Site Controller at customer lighting site. A Site Controller therefore is an instance of Service Platform 90 with just the Application Gateway 120 functionality. The custom node application builder 130 allows development of custom node application scripts. These scripts specify to the node Processor Module 15 (see FIG. 3), data collection instructions and operations to be performed at the node level. The scripts specify to the application gateway 120 how the results associated with the script are provided to an application.



FIG. 5 also illustrates that owner applications 140, assignee applications 144, partner applications 146, and consumer applications 149 utilize the application gateway API 150. The assignee hereto has developed and implements various types of applications common to many uses of the sensors. One such application is lighting management. The lighting management application provides lighting status and control functionality for the light source at a local node 10. Another application provided by the assignee provides for lighting maintenance. The lighting maintenance application allows users to maintain their lighting network, for example, by enabling monitoring the status of the light(s) at each node. An energy management application allows users to monitor lighting infrastructure energy usage and therefore to better control that use.


The partner applications 146 shown in FIG. 5 are typically assignee-approved applications and application services companies that have established markets for various desired functions, such as those listed below. These applications utilize the application gateway API 150. Typical partner applications provide security management, parking management, traffic monitoring and reporting, environment reporting, asset management, and logistics management.


Consumer applications 149 utilize application gateway API 150 to provide consumer related functionality. This API provides access to publicly available, anonymous and owner-approved data. Also shown are owner applications 140 developed and used by lighting infrastructure owners to meet their various specific needs.



FIG. 6 illustrates the lighting infrastructure applications revenue model for the system described above. This revenue model illustrates how revenue is generated and shared among the key stakeholders in the lighting infrastructure. In general, application and/or application service providers collect revenue A from application users. Application owners or service providers pay a fee B to the Lighting Infrastructure Application Framework service provider. The LIAF service provider pays fees C to the lighting infrastructure owners.


Key stakeholders of the lighting infrastructure based applications include the owners of the lighting infrastructure. These are the entities that own the light-pole/fixture and the property on which the lighting infrastructure is located. Another key party involved with the system is the LIAF service provider. These are the entities that provide hardware and software platforms deployed to provide the data and services for the applications. The assignee herein is a service provider for the LIAF. Other important entities include the application developers and owners. These entities sell applications or application services. These applications and service providers are based on the data collected, processed and distributed by the LIAF.


Among the revenue sources for finding the LIAF are applications, application services and data. There are revenue options for application or application service providers. Users of an application or the application services, pay a license fee that is typically either time interval based or paid as a one-time license fee. This fee is based on different levels of usage, for example, standard, professional, and administrator. The usage fee also can be dependent on the type of data, e.g. raw or summarized, real-time vs. non real-time, access to historical data, based on data priced dynamically by demand, and on the location associated with data.


Another application service includes advertisers. These are businesses that want to advertise products or services to applications and application-service users. Such advertisers pay advertisement fees for each application or service.


With regard to data, application and application service developers make payments for accessing data. Data includes specific data, e.g. energy usage at a node, on a per light engine basis for the entire light, on a per light engine channel, or per sensor. Another type of data is the status of a light, e.g. administrative status such as temperature threshold or energy cost to trigger dimming, dimming percentage, reporting of light status including setting of detection interval and reporting interval. This data can also include operational status such as present status of light, on or off, dimmed and dimming amount, failed, abnormal, etc. Other types of data include environmental data, e.g. temperature, humidity and atmospheric pressure at the node; or lighting data such as ambient light and its color.


The nodes may also sense and provide numerous other types of data. For example, gases such as carbon dioxide, carbon monoxide, methane, natural gas, oxygen, propane, butane, ammonia, or hydrogen sulfide can be detected and data reported. Other types of data include accelerometer status indicating seismic events, intrusion detector status, Bluetooth®1 MAC address, active RFID tag data, ISO-18000-7, and DASH 7 data. Below we describe some of these applications and the data they can collect in more detail.


Application specific sensor data can include an intrusion sensor to detect intrusion at the base of the pole or the light fixture, unauthorized opening of a cover at the base of pole, unauthorized opening of the light fixture, a vibration sensor for intrusion related vibration detection, earthquake related vibration detection or pole damage related vibration detection. A motion sensor can detect motion, its direction, and the type of motion detected.


Audio sensors can provide another type of collectable data. Audio sensors can detect glass breaking, gunshots, vehicle engines' on-or-off events, tire noise, vehicle doors closing, a human communication event, or a human distress noise event.


People detection sensors can detect a single person, multiple people, and count of people. Vehicle detection can include single vehicle, multiple vehicles, and the duration of sensor visibility. The vehicle detection can provide a vehicle count, or recognition information regarding make, model, color, license plate etc.


Our system can also provide data regarding correlated events, often by using data from multiple sensors. For example, sensor data from a motion detector, and a people detector can be combined to activate a lighting function to turn on, off, dim or brighten lights. A count of people with motion detection provides information about security, retail activity or traffic related events Motion detection coupled with vehicle detection can be used to indicate a breach in security of a facility.


Use of combinations of sensors, such as motion and vehicle count or motion and audio, provides useful information for performing various actions. The time of data collection can also be combined with data from sensors such as those discussed above to provide useful information, e.g. motion detection during open and closed hours at a facility. Light level sensors coupled to motion detection sensors can provide information useful for lighting control. Motion detection can be combined with video to capture data only when an event occurs. Current and historical sensor data can be correlated and used to predict events or need for adjustment of control signals, e.g. traffic flow patterns.


Another use for data collected at the nodes is aggregation. This allows data events to be used to generate representative values for a group using a variety of techniques. For example, aggregated data can be used to collect information about luminaire types at a site (e.g. post-top and wall-pack luminaires); environmentally protected vs. unprotected luminaires; or luminaires outside exposed areas. Data can be collected based on light area (e.g. pathway, parking lot, driveway), facility type (e.g. manufacturing, R&D), corporate region (e.g. international vs. domestic), etc.


Power usage can be aggregated for fixture type, facility, facility type, or geographical region. Environment sensing related aggregation can be provided for geographical areas or facility types. Security applications include aggregations for geographical area or facility type. Traffic applications include aggregations by time-of-day, week, month, year or by geographical area (e.g. school area vs. retail area). Retail applications include aggregations by time of day, week, month, etc., as well as by geographical area or facility type. Data can also be filtered or aggregated based on user-specified criteria, e.g. time of day.


Custom application development allows users to specify data to be collected and forwarded to the custom applications and services; actions to be performed based on the data at the lighting nodes; the format of the data that will be forwarded to applications or application services; and management of historical data.


Our revenue distribution model allows for revenue sharing among lighting infrastructure owners, application infrastructure owners, and application or application service owners. Today, for infrastructure owners, lighting is a cost center involving capital investment, energy bills and maintenance costs. Here the assignee provides the hardware, software and network resources to enable applications and application services on a day-to-day basis, allowing the infrastructure owner to offset at least some of the capital, operational, and maintenance expenses.



FIGS. 7-10 illustrate four sample applications for the system described above. FIG. 7 illustrates a parking garage application. A series of vehicle detection sensors 180 are positioned one above each parking space in a parking garage, or a single multi-space occupancy detection sensor is positioned at each light. The sensors can operate using any well-known technology that detects the presence or absence of a vehicle parked underneath them. When a parking space specific sensor is deployed, then each sensor includes an LED that displays whether the space is open, occupied, or reserved. This enables a driver in the garage to locate open, available and reserved spaces. It also allows the garage owner to know when spaces are available without having to visually inspect the entire garage.


The sensors are coupled using wired or wireless technology to a Node Platform 10, such as described for the system above. The Node Platform 10 communicates to a Site Controller 200 via a Local Area Network (LAN) 210 and/or to a Service Platform 90 using the Gateway Platform 50. The Gateway Platform 50 is connected to the Service Platform 90 via the Internet 80 and to users 220. The Site Controller 200 can communicate with the Service Platform 90 or Parking Management Application 181. The Parking Management Application 181 enables users 220 to reserve spaces by accessing that application over the Internet 80.



FIG. 8 illustrates a lighting maintenance application. In this application lighting nodes 10 are networked together using a system such as described above, and in turn coupled to a Site Controller 200. Using the technology described above, information about the lighting nodes, such as power consumption, operational status, on-off activity, and sensor activity are reported to the site controller 200 and/or to the Service Node 90. In addition, the site controller 200 and/or Service Node 90 can collect performance data such as temperature or current, as well as status data such as activities occurring at the nodes 10. Lighting Maintenance Application 229 that provides lighting maintenance related functions accesses raw maintenance data from the Service Node 90. Maintenance related data such as LED temperature, LED power consumption, LED failure, Network Failure and Power Supply failure can be accessed by a lighting maintenance company 230 from the Lighting Maintenance Application 229 to determine when service is required or other attention is needed.



FIG. 9 illustrates a warehouse inventory application for the systems described above of our invention. As illustrated there, a series of RFID tag readers 250 are positioned throughout a warehouse along the Node Platform 10. These tag readers 250 detect the RFID tags 260 on various items in the warehouse. Using the network of Node Platforms 10 as described herein, the tag readers 250 can provide that information to a site controller 200 and/or Service Platform 90. The Tag Reader 250 collects location and identification information and uses Node Platform 10 to forward data to the Site Controller 200 and/or the Service Platform 90. This data is then forwarded to applications such as Inventory Application 238 from the Service Platform 90. The location and the identification data can be used to track goods traffic inside the warehouse. The same strategy can be used to monitor the warehouse space usage. The sensors detect the presence of items in the warehouse and the space occupied by these items. This space usage data is forwarded to the Site Controller 200 and/or the Service Platform 90. Applications monitoring and managing Space Utilization Application 237 will access this data from the Service Platform 90.



FIG. 10 illustrates another application of our system, i.e, monitoring a shipping terminal and tracking goods from the source to the destination which can be done using this system. In this case, RFID Tags 260 are positioned throughout the source for the goods (e.g., Shipping Port Terminal), transit (Weigh Station or Gas Stations) and destination (e.g., Warehouse) along with the Node Platform 10. Similarly, RFID Tags 260 are positioned on goods and vehicles transporting goods. These RFID Tags 260 transmit location, identification and other sensor data information using the Node Platform 10 to the Service Platform 90. This is done using the Gateway Platform 50 at each site (source, transit, destination). The Service Platform 90 makes this data available to applications such as Logistics Application 236, enabling users accessing the Logistics Application 236 to be able to get accurate location and goods status information.



FIG. 11 is a block diagram of the electrical components for power monitoring and control within a node. The power measurement and control module illustrated measures incoming AC power, and controls the power provided to the AC/DC converter, it also provides for surge suppression and power to the node components.


This circuitry is used to control the power to the light-emitting diodes at an individual node. The actual count of input or outputs outlined below depends on customer application requirements. As shown in the diagram, AC power is provided via lines 300 at a voltage range between 90 and 305 volts. The voltage and current are sensed by an energy measurement integrated circuit 310. An AC-DC transformer 320 provides 3.3 volts to the circuit 310 to power the integrated circuit 310. In FIG. 11, the dashed lines represent the non-isolated portion of the high-voltage system. The dotted lines designate the portion of the circuit that is protected up to 10,000 volts.


Integrated circuit 310 is a CMOS power measurement device that measures the line voltage and current. It is able to calculate active, reactive, and apparent power, as well as RMS voltage and current. It provides output signals 315 to a “universal asynchronous receiver/transmitter” (UART) device 330. The UART device 330 translates data between parallel and serial interfaces. The UART 330 is connected to provide signals to a microcontroller 340 that controls the output voltage provided to the load 350, which is preferably the LED lighting system 350. This control is implemented using a switch 355.


Also coupled to the microcontroller 340 are devices 360 and 365 which implement a controller area network bus system, commonly referred to as a CAN bus. The CAN bus allows multiple microcontrollers to communicate with each other without relying upon a host computer. It provides a message-based protocol for communication. The CAN bus allows multiple nodes to be daisy chained together for communications among them.


Optionally provided on the circuit board is a power module 370. The power module 370 accepts AC power through its input terminals and provides controlled DC power at its output terminal. If desired, it can provide input power for some of the devices illustrated in FIG. 12, which is discussed next.



FIG. 12 is a block diagram of the application controller located at a node. The node provides for wireless communication with the application software. This application software enables control of the power, lighting, and sensors that are running on microcontroller 400. It also provides power to the various modules illustrated in the figure, and enables communication with the sensors.


The application controller in FIG. 12 operates under control of a microcontroller 400, which is depicted in the center of the diagram. Incoming electrical power 405, for example, supplied by module 370 in FIG. 11, is stepped down to 5 volts by transformer 410 to provide electrical power for Wi-Fi communications, and is also provided to a 3.3 volt transformer 420 which powers microcontroller 400. The power supply 430 also receives the input power and provides it to sensors (not shown). The 3.3 volt power is also provided to a reference voltage generator 440.


The microcontroller 400 provides a number of input and output terminals for communication with various devices. In particular, in the preferred embodiment, the microcontroller 400 is coupled to provide three 0 to 10 volt analog output signals 450, and to receive two 0 to 10 volt analog input signals 460. These input and output signals can be used to control, and to sense the condition of, various sensors. Communication with the microcontroller 400 is achieved by UART 470 and using the CAN bus 480. As explained with regard to FIG. 11, CAN bus 480 enables communication among microcontrollers without need of a host computer.


To enable future applications, and provide flexibility, microcontroller 400 also includes multiple general-purpose input/output pins 490. These accept or provide signals ranging from 0 to 36 volts. These are generic kittens whose behavior can be controlled or programmed through software. Having these additional control lines allows additional functionality enabled by software, without need of replacement of hardware.


Microcontroller 400 is also coupled to a pair of I2C bus interfaces 500. These bus interfaces can be used to connect other components on the board, or to connect other components that are linked via a cable. The I2C bus 500 does not require predefined bandwidth, yet enables multi-mastering, arbitration, and collision detection. Microcontroller 400 is also connected to an SP1 interface 510 to provide surge protection. In addition, microcontroller 400 is coupled to a USB interface 520, and to a JTAG interface 530. The various input and output busses and control signals enable the application controller at the node interface, comprising a wide variety of sensors and other devices, to provide, for example, lighting control and sensor management.


The preceding has been a detailed description of a networked lighting infrastructure for use with sensing applications. As described, the system provides unique capabilities for existing or future lighting infrastructure. Although numerous details have been provided with regard to the specific implementation of the system, it will be appreciated that the scope of the invention is defined by the appended claims.


APPENDIX TO THE SPECIFICATION


1 The “Bluetooth” word mark and logos are registered trademarks owned by Bluetooth SIG. Inc. Other trademarks and trade names are those of their respective owners.

Claims
  • 1. A gateway node platform for a network of lighting systems comprising a plurality of node platforms at least some of which represent lighting nodes, the plurality of node platforms in communication with a service platform through the gateway node platform, the service platform associated with multiple applications, the gateway node platform comprising: a power input terminal for receiving electrical power;a network interface for allowing communication with the plurality of node platforms and with the service platform, the network interface including a media module for receiving media data;a memory device for storing instructions; anda processor coupled to the power input terminal and the network interface, the processor when executing the instructions causing the processor to perform operations comprising:performing analytics data processing related to the media data in response to the media data received by the media module;producing analytics data related to the media data; andtransmitting the analytics data to the service platform for utilization by at least one of the multiple applications associated with the service platform.
  • 2. The gateway node platform of claim 1, further comprising a node platform of the plurality of node platforms integrated with the gateway node platform to provide enhanced functionality to the plurality of node platforms, the enhanced functionality including communications with the service platform via the WAN to provide functionality to the node platforms through multiple applications, the enhanced functionality including video and audio data processing and analytics functionality to at least some of the plurality of node platforms.
  • 3. The gateway node platform of claim 1, further comprising a lighting node of the plurality of node platforms integrated with the gateway node platform to provide enhanced functionality to the plurality of node platforms, the enhanced functionality including communications with the service platform via the WAN to provide functionality to the node platforms through multiple applications, the enhanced functionality including video and audio data processing and analytics functionality to at least some of the plurality of node platforms.
  • 4. The gateway node platform of claim 1, wherein the network interface comprises a LAN module configured to exchange data with the plurality of node platforms.
  • 5. The gateway node platform of claim 1, wherein the network interface comprises a WAN module configured to exchange data with the service platform.
  • 6. The gateway node platform of claim 1, wherein the network interface further comprises a media module configured to enable video and audio data processing and analytics functionality to support at least one of the multiple applications associated with the service platform.
  • 7. The gateway node platform of claim 6, wherein the video and audio data processing and analytics functionality includes performing at least one of analysing, detecting, recording and reporting application specific events for at least one of the multiple applications associated with the service platform.
  • 8. The gateway node platform of claim 1, wherein the network interface is communicatively coupled to the plurality of node platforms along a control plane to enable communications among node platforms from the plurality of node platforms and the gateway node platform related to at least one of events, usage, and node status for at least one of the multiple applications associated with the service platform.
  • 9. The gateway node platform of claim 1, wherein the network interface is communicatively coupled to the plurality of node platforms along a control plane to enable control commands to be transmitted from the gateway node platform to the plurality of node platforms and responses to be transmitted from the plurality of node platforms to the gateway node platform for at least one of the multiple applications associated with the service platform.
  • 10. The gateway node platform of claim 1, wherein the network interface is communicatively coupled to a select group of the plurality of node platforms along a data plane to enable an exchange of at video and audio data among node platforms from the gateway node platform and the select group of the plurality of node platforms.
  • 11. The gateway node platform of claim 1, wherein the plurality of node platforms represents a light sensor network having at least some of the plurality of node platforms each associated with a lighting fixture.
  • 12. The gateway node platform of claim 1, further comprising at least one controller coupled to the processor; andwherein the control or application function executed by the processor in response to the information provided by the sensor provides control signals for controlling at least one of an irrigation system, a gate, and a lighting source.
  • 13. The gateway node platform of claim 1, further comprising at least one controller coupled to the processor; andwherein the control or application function executed by the processor in response to the information provided by the sensor includes at least one of management of power distribution for a power system and measurement and monitoring of power for the power system.
  • 14. The gateway node platform of claim 1, further comprising a light source coupled to the power input terminal; andwherein the control or application function executed by the processor in response to the information provided by the sensor includes a function to control illumination from the light source.
  • 15. The gateway node platform of claim 1, further comprising a housing within which each of the power input terminal, the processor, the network interface and the sensor is disposed; andwherein the housing is adapted to be retrofitted into a street light in place of an existing illumination source in the street light.
  • 16. The gateway node platform of claim 1, further included within a lighting infrastructure application framework (LIAF), the LIAF includes multiple gateway node platforms, a plurality of groups of node platforms that exchanges data with the service platform via the at least one gateway node platform that is utilized by the multiple applications associated with the service platform, wherein the multiple applications access application data for the service platform via at least one application program interface provided by the service platform.
  • 17. A method of using existing lighting systems having a plurality of fixtures, each fixture coupled to a power supply and having a module which replaces a light source and includes: a power input terminal adapted to be connected to the power supply;a replacement light source coupled to the power input terminal;a processor coupled to the power input terminal, the processor including an interface having input/output (I/O) buses and control signals for enabling additional sensors modules to be deployed in the field as plug and play sensor modules to provide additional functionality to the module through at least one application;a network interface coupled to the processor, the network interface including a local area network (LAN) module; anda sensor coupled to the processor for detecting a condition at a node, and in response providing information about that condition to the processor,the method including operations to provide a network of sensors for collecting information comprising:coupling the network interface of each of the modules at the plurality of fixtures together using a communications network to enable communications among the modules at the plurality of fixtures and a gateway node platform via the LAN, the gateway node platform allows communication with a computing device via a wide area network (WAN);using the communication network, collecting information about conditions at the respective nodes of each module;providing the information collected about the conditions at the respective nodes of each module to the computing device via the gateway node platform; andaggregating, by the computing device, the information collected from the modules at the plurality of fixtures for use by multiple applications associated with the computing device.
  • 18. A method as in claim 17, wherein the module at each of the plurality of fixtures includes a controller and apparatus coupled to the controller, and the method further comprises: replacing the light source at each of the plurality of fixtures with the module; and using the controller to cause an action to be performed by the apparatus.
  • 19. A method as in claim 18, wherein the method further comprises transmitting signals from the computing device over the communication network to the modules and thereby to the controllers to cause an action to be performed by the apparatus, wherein the signals are control signals associated with the multiple applications.
  • 20. The method of claim 19, further comprising: adjusting the signals to cause actions performed by the apparatus to be adjusted based on data provided to the computing device over time.
  • 21. The method of claim 19, wherein the plurality of fixtures are grouped in one or more sets, wherein each set has a different functionality based on the control signals associated with one or more of the multiple applications.
  • 22. The method of claim 17, further comprising: coupling the interface of the processor to an additional sensor module to deploy the additional sensor module in the field.
REFERENCE TO RELATED APPLICATION

This patent application is a Continuation of U.S. patent application Ser. No. 14/024,561, filed Sep. 11, 2013, and entitled “NETWORKED LIGHTING INFRASTRUCTURE FOR SENSING APPLICATIONS,” which application claims priority from U.S. Provisional Patent Application Ser. No. 61/699,968, filed Sep. 12, 2012, and entitled “Networked Lighting Infrastructure for Sensing Applications,” the contents of which are incorporated by reference herein.

US Referenced Citations (150)
Number Name Date Kind
4384288 Walton May 1983 A
5161107 Mayeaux et al. Nov 1992 A
5161607 Chao Nov 1992 A
5793491 Wangler et al. Aug 1998 A
5842148 Prendergast et al. Nov 1998 A
6118230 Fleischmann Sep 2000 A
6364253 Cavanagh Apr 2002 B1
6426708 Trajkovic et al. Jul 2002 B1
6608453 Morgan et al. Aug 2003 B2
6683539 Trajkovic et al. Jan 2004 B2
6696945 Venetianer et al. Feb 2004 B1
6961313 Gaspar Nov 2005 B1
6970083 Venetianer et al. Nov 2005 B2
6999882 Frie et al. Feb 2006 B2
7304727 Chien et al. Dec 2007 B2
7333903 Walters et al. Feb 2008 B2
7583815 Zhang et al. Sep 2009 B2
7613324 Venetianer et al. Nov 2009 B2
7613590 Brown Nov 2009 B2
7674018 Holder et al. Mar 2010 B2
7817063 Hawkins et al. Oct 2010 B2
7825602 Hu et al. Nov 2010 B2
7868912 Venetianer et al. Jan 2011 B2
7925249 Funk et al. Apr 2011 B2
7925384 Huizenga et al. Apr 2011 B2
7932923 Lipton et al. Apr 2011 B2
7983685 Silverstrim et al. Jul 2011 B2
7986339 Higgins Jul 2011 B2
8027809 Brown Sep 2011 B2
8049592 Wang et al. Nov 2011 B2
8073554 Vezza et al. Dec 2011 B2
8078431 Brown Dec 2011 B2
8095340 Brown Jan 2012 B2
8111018 You Feb 2012 B2
8147267 Oster Apr 2012 B2
8244260 Silverstrim et al. Aug 2012 B2
8285986 Shon et al. Oct 2012 B2
8295491 Armknecht et al. Oct 2012 B2
8306051 Stocker et al. Nov 2012 B2
8334901 Ganick et al. Dec 2012 B1
8334906 Lipton et al. Dec 2012 B2
8379857 Zheng Feb 2013 B1
8436542 Middleton-white et al. May 2013 B2
8438175 Papke et al. May 2013 B2
8441397 Binzer et al. May 2013 B2
8461963 Ko et al. Jun 2013 B2
8464182 Blumenberg et al. Jun 2013 B2
8493209 Mohan et al. Jul 2013 B2
8510550 Westhoff et al. Aug 2013 B2
8514082 Cova et al. Aug 2013 B2
8522029 Agrawal et al. Aug 2013 B2
8531134 Chemel et al. Sep 2013 B2
8532962 Zhang et al. Sep 2013 B2
8533491 Klein Sep 2013 B2
8542130 Lavoie Sep 2013 B2
8558889 Martin et al. Oct 2013 B2
8560357 Sickenius Oct 2013 B2
8564661 Lipton et al. Oct 2013 B2
8575861 Gordin et al. Nov 2013 B1
8582816 Lee et al. Nov 2013 B2
8587225 Ashar et al. Nov 2013 B2
8590011 Legault et al. Nov 2013 B1
8594482 Fan et al. Nov 2013 B2
8607341 Yoon et al. Dec 2013 B2
8619079 Peterson et al. Dec 2013 B2
8619549 Narayana et al. Dec 2013 B2
8635049 Kauffman et al. Jan 2014 B2
8732031 Martin et al. May 2014 B2
8880199 Wei Nov 2014 B2
8994276 Recker Mar 2015 B2
9374870 Cumpston et al. Jun 2016 B2
20020195975 Schanberger Dec 2002 A1
20030102979 Jednacz et al. Jun 2003 A1
20030222587 Dowling, Jr. et al. Dec 2003 A1
20040124338 Cloutier et al. Jul 2004 A1
20050285547 Piepgras Dec 2005 A1
20070050240 Belani et al. Mar 2007 A1
20070143608 Zeng et al. Jun 2007 A1
20070223706 Gantman et al. Sep 2007 A1
20070234036 Tan et al. Oct 2007 A1
20070258585 Sandhu et al. Nov 2007 A1
20070294393 Smith et al. Dec 2007 A1
20080215391 Dowling Sep 2008 A1
20090026966 Budde et al. Jan 2009 A1
20090066540 Marinakis et al. Mar 2009 A1
20090218951 Weaver Sep 2009 A1
20090262189 Marman Oct 2009 A1
20090278479 Platner et al. Nov 2009 A1
20090299527 Huizenga et al. Dec 2009 A1
20090307255 Park Dec 2009 A1
20100001652 Damsleth Jan 2010 A1
20100037055 Fazio et al. Feb 2010 A1
20100204847 Leete, III et al. Aug 2010 A1
20100228601 Vaswani et al. Sep 2010 A1
20100235588 Maeda et al. Sep 2010 A1
20110002324 Falck et al. Jan 2011 A1
20110066297 Saberi Mar 2011 A1
20110103583 Yoon et al. May 2011 A1
20110133655 Recker Jun 2011 A1
20110158410 Falk et al. Jun 2011 A1
20110197061 Chou et al. Aug 2011 A1
20110199004 Henig et al. Aug 2011 A1
20110309756 Chao Dec 2011 A1
20120002406 Leadford et al. Jan 2012 A1
20120008787 Wan et al. Jan 2012 A1
20120036362 Agrawal et al. Feb 2012 A1
20120038281 Verfuerth Feb 2012 A1
20120040606 Verfuerth Feb 2012 A1
20120043889 Recker Feb 2012 A1
20120062123 Jarrell et al. Mar 2012 A1
20120068608 Covaro et al. Mar 2012 A1
20120086561 Ilyes et al. Apr 2012 A1
20120130544 Mohan et al. May 2012 A1
20120130774 Ziv et al. May 2012 A1
20120143357 Chemel et al. Jun 2012 A1
20120146518 Keating et al. Jun 2012 A1
20120191770 Perlmutter et al. Jul 2012 A1
20120262093 Recker et al. Oct 2012 A1
20120310984 Branson et al. Dec 2012 A1
20120321086 D'Souza et al. Dec 2012 A1
20130005255 Pering et al. Jan 2013 A1
20130010251 Croft et al. Jan 2013 A1
20130013091 Cavalcanti et al. Jan 2013 A1
20130073192 Hota et al. Mar 2013 A1
20130088168 Mohan et al. Apr 2013 A1
20130107041 Norem et al. May 2013 A1
20130134886 Golding et al. May 2013 A1
20130144564 Devaul et al. Jun 2013 A1
20130158952 Liebel et al. Jun 2013 A1
20130159454 Hunter et al. Jun 2013 A1
20130181632 Chu Jul 2013 A1
20130191632 Spector et al. Jul 2013 A1
20130211613 Praske et al. Aug 2013 A1
20130221203 Barrilleaux Aug 2013 A1
20130227569 Kohli et al. Aug 2013 A1
20130229804 Holder et al. Sep 2013 A1
20130258107 Delibaltov et al. Oct 2013 A1
20130265563 Vogt et al. Oct 2013 A1
20130285855 Dupray et al. Oct 2013 A1
20130297212 Ramer et al. Nov 2013 A1
20130342355 Lund et al. Dec 2013 A1
20130346229 Martin et al. Dec 2013 A1
20140028199 Chemel Jan 2014 A1
20140084795 Cumpston Mar 2014 A1
20140136838 Mossbarger May 2014 A1
20140201541 Paul et al. Jul 2014 A1
20140359272 Hiltunen et al. Dec 2014 A1
20150254463 Ryhorchuk et al. Sep 2015 A1
20150254570 Florence et al. Sep 2015 A1
20150256623 Ryhorchuk et al. Sep 2015 A1
Foreign Referenced Citations (36)
Number Date Country
2690148 Dec 2008 CA
102610137 Jul 2012 CN
102110376 Nov 2012 CN
102867386 Jan 2013 CN
20293979 May 2013 CN
103687200 Mar 2014 CN
1658579 May 2006 EP
2581888 Apr 2013 EP
2660625 Nov 2013 EP
2709428 Mar 2014 EP
2014064274 Apr 2014 JP
1020070044243 Apr 2007 KR
100760535 Sep 2007 KR
100784836 Dec 2007 KR
20100136186 Dec 2010 KR
20110017037 Feb 2011 KR
20110055807 May 2011 KR
20150089983 Aug 2015 KR
WO-03055734 Jul 2003 WO
WO-2008008505 Jan 2008 WO
WO-2008085815 Jul 2008 WO
WO-2009076182 Jun 2009 WO
WO-2011041903 Apr 2011 WO
WO-2011053969 May 2011 WO
WO-2011055261 May 2011 WO
WO-2011121470 Oct 2011 WO
WO-2011132013 Oct 2011 WO
WO-2012042432 Apr 2012 WO
WO-2012092150 Jul 2012 WO
WO-2012140152 Oct 2012 WO
WO-2013131189 Sep 2013 WO
WO-2013165777 Nov 2013 WO
WO-2015134879 Sep 2015 WO
WO-2015134929 Sep 2015 WO
WO-2015134929 Sep 2015 WO
WO-2015134937 Sep 2015 WO
Non-Patent Literature Citations (32)
Entry
“U.S. Appl. No. 14/024,561, Non Final Office Action mailed Jul. 22, 2015”, 12 pgs.
“U.S. Appl. No. 14/024,561, Notice of Allowance mailed Feb. 19, 2016”, 5 pgs.
“U.S. Appl. No. 14/024,561, Notice of Allowance mailed Nov. 25, 2015”, 5 pgs.
“U.S. Appl. No. 14/024,561, Response filed Oct. 21, 2015 to Non Final Office Action mailed Jul. 22, 2015”, 13 pgs.
“U.S. Appl. No. 14/224,300, Non Final Office Action mailed Jul. 8, 2014”, 24 pgs.
“U.S. Appl. No. 14/639,841, Non Final Office Action mailed Mar. 30, 2016”, 17 pgs.
“U.S. Appl. No. 14/639,841, Response filed Aug. 30, 2016 to Non Final Office Action mailed Mar. 30, 2016”, 13 pgs.
“European Application Serial No. 13184124.9, Communication Pursuant to EPC Rule 69 mailed Jul. 13, 2015”, 2 pgs.
“European Application Serial No. 13184124.9, Extended European Search Report mailed Jun. 5, 2015”, 9 pgs.
“European Application Serial No. 13184124.9, Response filed Jan. 8, 2016 to Extended European Search Report mailed Jun. 5, 2015”, 22 pgs.
“International Application Serial No. PCT/US2013/037968, International Search Report mailed Jul. 2, 2013”, 2 pgs.
“International Application Serial No. PCT/US2013/045407, International Search Report mailed Sep. 23, 2013”, 8 pgs.
“International Application Serial No. PCT/US2014/031723, International Search Report maied Jul. 7, 2014”, 3 pgs.
“International Application Serial No. PCT/US2015/019195, International Preliminary Report on Patentability filed Sep. 6, 2016”, 9 pgs.
“International Application Serial No. PCT/US2015/019195, International Search Report mailed Jun. 16, 2015”, 3 pgs.
“International Application Serial No. PCT/US2015/019195, Written Opinion mailed Jun. 16, 2015”, 8 pgs.
“International Application Serial No. PCT/US2015/019286, International Preliminary Report on Patentability mailed Sep. 6, 2016”, 9 pgs.
“International Application Serial No. PCT/US2015/019286, International Search Report mailed Jun. 11, 2015”, 2 pgs.
“International Application Serial No. PCT/US2015/019286, Written Opinion mailed Jun. 11, 2015”, 8 pgs.
“International Application Serial No. PCT/US2015/019296, International Preliminary Report on Patentability mailed”, 9 pgs.
“International Application Serial No. PCT/US2015/019296, International Search Report mailed Jun. 1, 2015”, 3 pgs.
“International Application Serial No. PCT/US2015/019296, Written Opinion mailed Jun. 1, 2015”, 8 pgs.
“Korean Application Serial No. 2013-0109844, Office Action mailed Jul. 24, 2014”, W/ English Translation, 12 pgs.
“Korean Application Serial No. 2013-0109844, Response filed Oct. 14, 2014 to Office Action mailed Jul. 24, 2014”, W/ English Claims.
“Korean Application Serial No. 2013-109844, Final Rejection After Reexamination mailed Apr. 14, 2015”, W/ English Translation, 6 pgs.
“Korean Application Serial No. 2013109844, Office Action mailed Feb. 26, 2015”, W/ English Translation, 6 pgs.
“Korean Application Serial No. 2013109844, Response filed Mar. 30, 2015 to Office Action mailed Feb. 26, 2015”, W/ English Claims, 20 pgs.
Munoz. D. et al., “Position Location Techniques and Applications”, Academic Press, (2009), 297 pgs.
Xu, J, et al., “Distance Measurement Model Based on RSSI in WSN”, Wireless Sensor Network, (2010), 606-611.
“U.S. Appl. No. 14/639,841, Notice of Allowance mailed Oct. 14, 2016”, 9 pgs.
“U.S. Appl. No. 15/387,234, Preliminary Amendment filed Dec. 30, 2016”, 8 pgs.
“International Application Serial No. PCT/US2015/019286, International Preliminary Report on Patentability mailed Sep. 15, 2016”, 10 pgs.
Related Publications (1)
Number Date Country
20160366753 A1 Dec 2016 US
Provisional Applications (1)
Number Date Country
61699968 Sep 2012 US
Continuations (1)
Number Date Country
Parent 14024561 Sep 2013 US
Child 15185329 US