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.
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.
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.
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
As also shown in
In
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.
The partner applications 146 shown in
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.
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.
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.
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
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
The application controller in
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
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.
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.
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.
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 |
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 |
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. |
Number | Date | Country | |
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20160366753 A1 | Dec 2016 | US |
Number | Date | Country | |
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61699968 | Sep 2012 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14024561 | Sep 2013 | US |
Child | 15185329 | US |