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公开(公告)号：US11119141B2
公开(公告)日：2021-09-14
申请号：US16287517
申请日：2019-02-27
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd , Matthew S. Reynolds
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power tines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
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2.发明申请DETECTING ACTUATION OF ELECTRICAL DEVICES USING ELECTRICAL NOISE OVER A POWER LINE 审中-公开使用电力线上的电气噪声检测电气设备的动作公开(公告)号：US20160154043A1
公开(公告)日：2016-06-02
申请号：US15012780
申请日：2016-02-01
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd , Matthew S. Reynolds
IPC: G01R29/26
CPC classification number: G01R29/26 , G01R21/006 , G05B2219/40408 , G06F17/00 , H04B3/544 , H04B2203/5425 , H04B2203/5458 , Y04S20/38
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power tines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
Abstract translation: 家庭活动感知有各种重要应用，包括医疗保健，娱乐，家庭自动化，能源监测和住院后研究。 用于检测乘员活动的许多现有系统需要大量传感器，侵入性视觉系统或广泛的安装程序。 公开了一种使用单个插入式传感器来检测整个家庭中的各种电气事件的方法。 该传感器检测在电气设备的突然切换产生的住宅电源尖端上的电噪声以及某些设备在运行时产生的噪声。 机器学习技术用于识别电噪声事件，例如打开或关闭特定的光开关，电视机或电炉。 该系统已经过测试，以评估系统性能随着时间的推移和不同类型的房屋。 结果表明，各种电气事件可以从85-90％的准确度学习和分类。
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3.发明申请METHOD AND APPARATUS FOR USING IN-HOME POWER LINES TO SUPPORT LOW POWER WIRELESS SENSORS AND TO EXTEND THE RANGE OF LOW-POWER WIRELESS DEVICES 有权使用家用电源线来支持低功率无线传感器并扩展低功率无线设备范围的方法和装置公开(公告)号：US20150099463A1
公开(公告)日：2015-04-09
申请号：US14298831
申请日：2014-06-06
Inventor： Erich P. Stuntebeck , Thomas M. Robertson , Gregory D. Abowd , Shwetak N. Patel
IPC: H04B5/00
CPC classification number: H04B5/0018 , H04W52/0219 , Y02D70/00 , Y02D70/142 , Y02D70/144 , Y02D70/162 , Y02D70/166 , Y02D70/22 , Y02D70/42
Abstract: Disclosed is a system that uses existing power line infrastructure in a building as a distributed reception antenna capable of receiving signals from very low-power wireless sensors, thus allowing these sensors to be detected at ranges that are otherwise impractical with over-the-air reception. Also disclosed is a wireless sensor platform that is able to be sensed throughout a building with very low current draw. The disclosed technique may also be utilized to extend the range of mid-frequency consumer electronic devices by leveraging the power line as a reception antenna.
Abstract translation: 公开了一种将建筑物中的现有电力线基础设施用作能够从非常低功率的无线传感器接收信号的分布式接收天线的系统，从而允许在空中接收的情况下不可行的范围内检测这些传感器 。 还公开了能够以非常低的电流消耗在整个建筑物中感测的无线传感器平台。 所公开的技术也可以用于通过利用电力线作为接收天线来扩展中频消费电子设备的范围。
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Patent Agency Ranking
公开(公告)号：US10247765B2
公开(公告)日：2019-04-02
申请号：US15012780
申请日：2016-02-01
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd , Matthew S. Reynolds
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power tines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
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公开(公告)号：US20190195929A1
公开(公告)日：2019-06-27
申请号：US16287517
申请日：2019-02-27
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd , Matthew S. Reynolds
CPC classification number: G01R29/26 , G01R21/006 , G05B2219/40408 , G06F17/00 , H04B3/544 , H04B2203/5425 , H04B2203/5458 , Y04S20/38
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power tines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
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6.发明授权Method and apparatus for using in-home power lines to support low power wireless sensors and to extend the range of low-power wireless devices 有权使用家用电力线来支持低功率无线传感器并扩展低功率无线设备的范围的方法和装置公开(公告)号：US09385783B2
公开(公告)日：2016-07-05
申请号：US14298831
申请日：2014-06-06
Inventor： Erich P. Stuntebeck , Thomas M. Robertson , Gregory D. Abowd , Shwetak N. Patel
CPC classification number: H04B5/0018 , H04W52/0219 , Y02D70/00 , Y02D70/142 , Y02D70/144 , Y02D70/162 , Y02D70/166 , Y02D70/22 , Y02D70/42
Abstract: Disclosed is a system that uses existing power line infrastructure in a building as a distributed reception antenna capable of receiving signals from very low-power wireless sensors, thus allowing these sensors to be detected at ranges that are otherwise impractical with over-the-air reception. Also disclosed is a wireless sensor platform that is able to be sensed throughout a building with very low current draw. The disclosed technique may also be utilized to extend the range of mid-frequency consumer electronic devices by leveraging the power line as a reception antenna.
Abstract translation: 公开了一种将建筑物中的现有电力线基础设施用作能够从非常低功率的无线传感器接收信号的分布式接收天线的系统，从而允许在空中接收的情况下不可行的范围内检测这些传感器 。 还公开了能够以非常低的电流消耗在整个建筑物中感测的无线传感器平台。 所公开的技术也可以用于通过利用电力线作为接收天线来扩展中频消费电子设备的范围。
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公开(公告)号：US09250275B2
公开(公告)日：2016-02-02
申请号：US13717195
申请日：2012-12-17
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd , Matthew S. Reynolds
CPC classification number: G01R29/26 , G01R21/006 , G05B2219/40408 , G06F17/00 , H04B3/544 , H04B2203/5425 , H04B2203/5458 , Y04S20/38
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power lines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
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8.发明申请Detecting Actuation of Electrical Devices Using Electrical Noise Over a Power Line 有权使用电力线上的电气噪声检测电气设备的动作公开(公告)号：US20130124123A1
公开(公告)日：2013-05-16
申请号：US13717195
申请日：2012-12-17
Applicant: Georgia Tech Research Corporation
Inventor： Shwetak N. Patel , Thomas M. Robertson , Gregory D. Abowd
CPC classification number: G01R29/26 , G01R21/006 , G05B2219/40408 , G06F17/00 , H04B3/544 , H04B2203/5425 , H04B2203/5458 , Y04S20/38
Abstract: Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power lines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.
Abstract translation: 家庭活动感知有各种重要应用，包括医疗保健，娱乐，家庭自动化，能源监测和住院后研究。 用于检测乘员活动的许多现有系统需要大量传感器，侵入性视觉系统或广泛的安装程序。 公开了一种使用单个插入式传感器来检测整个家庭中的各种电气事件的方法。 该传感器检测由电气设备的突然切换产生的住宅电力线路上的电气噪声以及某些设备在运行时产生的噪音。 机器学习技术用于识别电噪声事件，例如打开或关闭特定的光开关，电视机或电炉。 该系统已经过测试，以评估系统性能随着时间的推移和不同类型的房屋。 结果表明，各种电气事件可以从85-90％的准确度学习和分类。
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