CN110417125A - A kind of edge calculations based on ubiquitous electric power Internet of Things are opposed electricity-stealing method and device - Google Patents
A kind of edge calculations based on ubiquitous electric power Internet of Things are opposed electricity-stealing method and device Download PDFInfo
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- CN110417125A CN110417125A CN201910708050.8A CN201910708050A CN110417125A CN 110417125 A CN110417125 A CN 110417125A CN 201910708050 A CN201910708050 A CN 201910708050A CN 110417125 A CN110417125 A CN 110417125A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
Description
Claims (3)
- A kind of method 1. edge calculations based on ubiquitous electric power Internet of Things are opposed electricity-stealing, which is characterized in that carried out in monitoring cycle T Following operation:Step 1: data acquireThe total electricity value TP of picking platform area concentratort=[TP1,TP2,TP3...TPT], 1≤t≤T;The following data of each electric energy meter in picking platform area:Firewire current value Ixt=[Ix1,Ix2,Ix3...IxT], 1≤t≤T;Neutral line current Jxt=[Jx1,Jx2,Jx3...JxT], 1≤t≤T;Charge value Pxt=[Px1,Px2,Px3...PxT], 1≤t≤T;Extremely uncap logout Ext=[Ex1,Ex2,Ex3...ExT], 1≤t≤T;Magnetic field anomalous event records Mxt=[Mx1,Mx2,Mx3...MxT], 1≤t≤T;Wherein t indicates certain time point in monitoring cycle T;Step 2: data processing judgesCalculate the charge value Px of each electric energy meter in platform areatSummationThe total electricity value TP of the area Bing Yutai concentratortIt carries out Compare, such as findsAndThe exception for then calculating each electric energy meter immediately is uncapped event value EEtOr magnetic field anomalous event value MMt, such as discovery wherein certain electric energy meter in the cycle memory in EEt=1 or MMt=1, then it persistently supervises Survey the real-time firewire electric current Ix of the electric energy metertWith neutral line current Jxt, and calculate zero firewire and compare standard deviationThe σ that will be calculatedtWith the threshold value comparison of setting, if σtGreater than threshold Value then determines that a possibility that stealing is larger, and result is fed back to back-stage management;Wherein, uncap event value EE extremelyt=[log2(1+Ex1), log2(1+Ex2), log2(1+Ex3)...log2(1+ExT)], EEt=0 or 1 indicates that corresponding moment electric energy meter has logout of uncapping;Magnetic field anomalous event value MMt=[log2(1+Mx1), log2(1+Mx2), log2(1+Mx3)...log2(1+MxT)], MMt=0 Or 1 indicate corresponding moment electric energy meter there are magnetic field anomalous event records.
- The method 2. edge calculations according to claim 1 based on ubiquitous electric power Internet of Things are opposed electricity-stealing, which is characterized in that institute Stating threshold value is 0.13.
- 3. a kind of edge calculations anti-electricity-theft device based on ubiquitous electric power Internet of Things characterized by comprisingData acquisition module, the total electricity value TP for the picking platform area concentrator in monitoring cycle TtAnd in picking platform area The firewire current value Ix of each electric energy metert, neutral line current Jxt, charge value Pxt, the abnormal logout Ex that uncapstIt is different with magnetic field Normal logout Mxt;Data processing module calculates the charge value Px of each electric energy meter in platform area according to the data of data collecting module collectedtIt is total WithThe total electricity value TP of the area Bing Yutai concentratortIt is compared, such as findsAndThe exception for then calculating each electric energy meter immediately is uncapped event value EEtOr magnetic field anomalous event value MMt, such as It was found that wherein certain electric energy meter is in the cycle memory in EEt=1 or MMt=1, then continue to monitor the real-time firewire electric current of the electric energy meter IxtWith neutral line current Jxt, and calculate zero firewire and compare standard deviationIt will meter Obtained σtWith the threshold value comparison of setting, if σtA possibility that stealing is then determined greater than threshold value is larger;Wherein, uncap event value EE extremelyt=[log2(1+Ex1), log2(1+Ex2), log2(1+Ex3)...log2(1+ExT)], EEt=0 or 1 indicates that corresponding moment electric energy meter has logout of uncapping;Magnetic field anomalous event value MMt=[log2(1+Mx1), log2(1+Mx2), log2(1+Mx3)...log2(1+MxT)], MMt=0 Or 1 indicate corresponding moment electric energy meter there are magnetic field anomalous event records;Memory module, intermediate result that the data and data processing module for storing data collecting module collected calculate and final As a result;Communication module, for the data of data collecting module collected to be sent to memory module, and by data processing module Calculated result issues back-stage management.
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Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112003372A (en) * | 2020-08-19 | 2020-11-27 | 贵州电网有限责任公司 | Remote intelligent monitoring method for preventing electricity theft |
CN112202916A (en) * | 2020-10-13 | 2021-01-08 | 北京合众伟奇科技股份有限公司 | Platform district intelligent management device based on edge calculation |
CN112305287A (en) * | 2020-11-10 | 2021-02-02 | 许继集团有限公司 | Anti-electricity-stealing management system and anti-electricity-stealing management method arranged at end tail of concentrator |
CN112467723A (en) * | 2019-11-20 | 2021-03-09 | 乐清市泰博恒电子科技有限公司 | Power network processing method based on big data and database |
CN112798834A (en) * | 2019-11-14 | 2021-05-14 | 河南许继仪表有限公司 | Metering box meter front switch device and metering box |
CN113554122A (en) * | 2021-09-03 | 2021-10-26 | 广东电网有限责任公司 | Analysis method and related device for low-voltage electricity stealing prevention |
CN113919853A (en) * | 2021-10-18 | 2022-01-11 | 浙江大学 | Low-voltage user electricity stealing identification method based on edge-to-edge fusion |
CN113985124A (en) * | 2021-09-26 | 2022-01-28 | 浙江万胜智能科技股份有限公司 | Electricity larceny prevention method based on LTU, electric energy meter and fusion terminal |
CN114002469A (en) * | 2021-11-03 | 2022-02-01 | 国网四川省电力公司成都供电公司 | Electricity stealing detection method and device and electricity stealing detector |
CN115808563A (en) * | 2023-01-11 | 2023-03-17 | 国网山西省电力公司营销服务中心 | High-voltage user electricity stealing detection method based on electricity power abnormity analysis |
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Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112798834A (en) * | 2019-11-14 | 2021-05-14 | 河南许继仪表有限公司 | Metering box meter front switch device and metering box |
CN112467723A (en) * | 2019-11-20 | 2021-03-09 | 乐清市泰博恒电子科技有限公司 | Power network processing method based on big data and database |
CN112003372A (en) * | 2020-08-19 | 2020-11-27 | 贵州电网有限责任公司 | Remote intelligent monitoring method for preventing electricity theft |
CN112202916A (en) * | 2020-10-13 | 2021-01-08 | 北京合众伟奇科技股份有限公司 | Platform district intelligent management device based on edge calculation |
CN112305287A (en) * | 2020-11-10 | 2021-02-02 | 许继集团有限公司 | Anti-electricity-stealing management system and anti-electricity-stealing management method arranged at end tail of concentrator |
CN113554122A (en) * | 2021-09-03 | 2021-10-26 | 广东电网有限责任公司 | Analysis method and related device for low-voltage electricity stealing prevention |
CN113985124A (en) * | 2021-09-26 | 2022-01-28 | 浙江万胜智能科技股份有限公司 | Electricity larceny prevention method based on LTU, electric energy meter and fusion terminal |
CN113919853A (en) * | 2021-10-18 | 2022-01-11 | 浙江大学 | Low-voltage user electricity stealing identification method based on edge-to-edge fusion |
CN113919853B (en) * | 2021-10-18 | 2022-07-15 | 浙江大学 | Low-voltage user electricity stealing identification method based on edge-to-edge fusion |
CN114002469A (en) * | 2021-11-03 | 2022-02-01 | 国网四川省电力公司成都供电公司 | Electricity stealing detection method and device and electricity stealing detector |
CN114002469B (en) * | 2021-11-03 | 2023-10-03 | 国网四川省电力公司成都供电公司 | Method and device for detecting electricity theft and electricity theft detector |
CN115808563A (en) * | 2023-01-11 | 2023-03-17 | 国网山西省电力公司营销服务中心 | High-voltage user electricity stealing detection method based on electricity power abnormity analysis |
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Inventor after: Hua Juan Inventor after: Hou Gengchao Inventor after: Cai Yupeng Inventor after: Li Xinxin Inventor after: Wu Ying Inventor after: Tian Ke Inventor after: Wang Mei Inventor after: Zhang Lei Inventor after: Teng Tiejun Inventor after: Zhang Wei Inventor after: Jing Youding Inventor after: Lu Liguang Inventor after: Xun Danqing Inventor before: Hua Juan Inventor before: Hou Gengchao Inventor before: Cai Yupeng Inventor before: Li Xinxin Inventor before: Wu Ying Inventor before: Tian Ke Inventor before: Wang Mei Inventor before: Zhang Lei Inventor before: Fuji toko Tai Inventor before: Zhang Wei Inventor before: Jing Youding Inventor before: Lu Liguang Inventor before: Xun Danqing |