CN105203924A - Electricity usage trend abnormity suspicion analysis method and anti-electric-larceny monitoring system - Google Patents
Electricity usage trend abnormity suspicion analysis method and anti-electric-larceny monitoring system Download PDFInfo
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- CN105203924A CN105203924A CN201510651268.6A CN201510651268A CN105203924A CN 105203924 A CN105203924 A CN 105203924A CN 201510651268 A CN201510651268 A CN 201510651268A CN 105203924 A CN105203924 A CN 105203924A
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Abstract
The invention discloses an electricity usage trend abnormity suspicion analysis method and an anti-electric-larceny monitoring system. The method includes the steps of electricity usage information state estimation, electricity usage abnormity suspicion analysis of low-voltage public transformer platform regions, suspect user filtering and positioning and key suspect user monitoring, and an anti-electric-larceny knowledge base is involved in the method. The step of electricity usage information state estimation is used for dealing with abnormities and deficiency of electric energy collection readings, asymmetry of standing book information and other abnormities. The step of electricity usage abnormity suspicion analysis of the low-voltage public transformer platform regions is used for analyzing electricity usage abnormities of users in the low-voltage public transformer platform regions. The step of suspect user filtering and positioning is used for filtering out suspect electric quantity major users and positioning the suspect major users. The step of key suspect user monitoring is used for tracking electricity usage abnormity users. The anti-electric-larceny knowledge base is used for accumulating anti-electric-larceny basic knowledge. The method is used for achieving the ultimate purposes of automatically positioning the suspect users by analyzing the electricity usage abnormities of the users in the low-voltage public transformer platform regions, forming a checking name list, lowering the technical analysis intensity of anti-electric-larceny staff and improving analysis efficiency.
Description
Technical field
The present invention relates to electrical network Prevention Stealing Electricity Technology field, particularly a kind of electricity consumption trend anomaly suspicion analytical approach, one are opposed electricity-stealing supervisory system.
Background technology
Under economic interests are ordered about, nationwide integrated power grid stealing situation is increasingly severe, its mesolow electricity consumption platform district, the particularly low-voltage platform area of power utilization environment more complicated, is the severely afflicated area that stealing occurs.Since the application implementation of SG186 sales service, marketing management system and power information acquisition system be accumulating and enriching, a large amount of user profile data, carry out to oppose electricity-stealing to analyze for electric power enterprise and provide data basis with monitoring work, but in analytic process, there is information asymmetry between each data system, data have the situation such as bad point, shortcoming, increase analysis difficulty, and the using integral that these mass datas carry out effective mining analysis is but seemed relatively lag behind.At present, traditional Prevention Stealing Electricity Technology analysis mode generally carries out threshold values screening to reduce suspicion analyst coverage according to the empirical rule of maturation to mass data, lock suspicion user through curve comparison again, or directly carry out spot check for general objective colony, and inspection result to a certain degree relies on the skill quality of inspector, easily let slip fish that has escape the net, both time and effort consuming, implementation result is undesirable again, defines the realistic situation of " data are enriched; experience is ripe, applies poor ".Along with the continuous maturation of large data mining theories, data mining technology power of borrowing constantly obtains practical application in the growth of large data space, brings considerable economic benefit, provides useful technology application use for reference to Prevention Stealing Electricity Technology field.Accordingly, be necessary to carry out combing and summary to flow process of opposing electricity-stealing, experience, technological achievement and typical case, and utilize informationization technology development result, advance the work of electricity anti-stealing level of informatization, realize marketing work of electricity anti-stealing and " teach, learn, practice, grind " omnidirectional support, effective raising marketing Prevention Stealing Electricity Technology analyzing and positioning ability, provides technical support and guarantee for better hitting stealing.
Summary of the invention
For the deficiency that above Prevention Stealing Electricity Technology is analyzed, the technical solution adopted in the present invention is:
For the feature of this project, this project, on the data class of research power distribution information acquisition system, marketing management system etc. and the basis of feature, has been carried out tracking mode analysis to the multiplexing electric abnormality situation of suspicion user, has mainly been comprised following several aspect:
■ power information state estimation
Power information state estimation is from acquisitions such as marketing SG186 system, power information acquisition systems: the power informations such as energy data (electricity, voltage, electric current etc.), metering abnormal information (table meter abnormal information), (circuit, platform district and user) account information, rules such as adopting threshold values to reject, substitute, fill up is carried out verification estimate energy data, account data, for reducing the analytical error caused due to the data problem such as electric energy acquisition registration exception, time point image data disappearance, user's account information asymmetry.
The multiplexing electric abnormality situation analysis of ■ low-voltage platform area
After power information state estimation, first within the scope of each low pressure Gong Biantai district, trend anomaly analytical algorithm is adopted to calculate the abnormal corresponding possible power-steeling quantity of each user power utilization; Secondly, calculate user power utilization suspicions degree: using the ratio of user's suspicion electricity and the power consumption of user as the stealing suspicion degree in user's computation period, this numerical result is as checking one of important evidence of sorting; Finally, according to suspicion electricity and suspicion degree level, in conjunction with suspicion electricity filtering rule filter out suspicion electricity rich and influential family, then delimit the high-order district user of suspicion according to suspicion degree size, form inspection list, inspector's scene evidence taking can be transferred to.
Above-mentioned trend anomaly analytical algorithm, under Shi Jiangtai district, each fellow users historical temperature is close to the electricity summation average of day, the variation tendency obtained compared with calculating day each fellow users electricity summation, the electricity trend level of day is calculated as fellow users under this district, the trend SOC values that each user's historical temperature obtains by this Long-term change trend close to the electricity average level of day, deduct the electric quantity data that this user calculates day again, the difference obtained calculates the suspicion electricity of day as this user.
■ emphasis suspicion usertracking
Emphasis suspicion family monitoring function, specifically comprise to the past stealing check and verify user monitoring and in the recent period part do not check and verify and the monitoring of the high-order district user of the suspicion that is still in.The monitor procedure cancelled that stealing record or suspicion degree reduce gradually is there is not in emphasis suspicion family in certain monitoring period.
Owing to have employed technique scheme, compared with prior art, the invention has the beneficial effects as follows:
1. opposing electricity-stealing in supervisory system, estimating based on user power utilization information state, solve different system bad data points and the asymmetric problem of inter-system data, improve the confidence level of raw data, for electricity consumption suspicion technical Analysis provides reliable data environment;
2. opposing electricity-stealing in supervisory system, analyzing based on the suspicion electricity under trend anomaly analytical algorithm and suspicion degree, overcome the working strength of artificial data screening, improve work efficiency, there is the advantage of express-analysis, reliable results.Based on great amount of samples verification, dynamically determine suspicion electricity screening threshold values size and suspicion degree high-order district threshold values, can quick position suspicion user;
3. opposing electricity-stealing in supervisory system, carry out technical chart (suspicion electricity, suspicion write music line) to emphasis user to follow the tracks of, effective tracing observation can be carried out to the high-order district multiplexing electric abnormality user of suspicion of not checking and verify, in order to avoid let slip fish that has escape the net, improve inspection efficiency.
Below in conjunction with the drawings and specific embodiments, the invention will be further described simultaneously.
Accompanying drawing explanation
Fig. 1 is the system hardware configuration realization flow figure of an embodiment of the present invention.
Fig. 2 is the system software architecture realization flow figure of an embodiment of the present invention.
Fig. 3 is that an example of the present invention checks and verify stealing user coulometric analysis curve comparison.
Embodiment
Embodiment:
As shown in Figure 1, a kind of electricity consumption trend anomaly suspicion analytical approach and supervisory system of opposing electricity-stealing, comprise marketing system server, electricity consumption acquisition system server, Analysis server of opposing electricity-stealing, to oppose electricity-stealing monitoring station four class work system, four co-ordinations, complete oppose electricity-stealing suspicion analysis and monitor task jointly.Native system desired data is from " marketing system server " and " electricity consumption acquisition system server ", then network service is passed through, send data to " Analysis server of opposing electricity-stealing " and carry out centralized stores, analysis, forwarding, be sent to finally by the network switch that " monitoring station of opposing electricity-stealing " carries out showing, alarm.Each several part concrete function is as follows:
" marketing system server ": it is the data storage server of power marketing department system, historical data and real time data are sent to intermediate server and preserve by it, mainly comprise the account data that circuit, transformer station and platform become.
" electricity consumption acquisition system server ": it is the data storage server of power consumer electricity consumption collecting work, historical data and real time data are sent to intermediate server and preserve by it, mainly comprise table meter registration, table meter abnormal information data etc.
" Analysis server of opposing electricity-stealing ": be mainly used in store historical data, real time data, and the result after multiplexing electric abnormality analysis, and preserve for the history that transmitted by the server such as marketing system, electricity consumption acquisition system and the result of real time data after state estimation, and fetch data for " monitoring station of opposing electricity-stealing ".
" monitoring station of opposing electricity-stealing ": mainly carry out patterned display to suspicion customer analysis result, simultaneously for following the tracks of emphasis suspicion user, can also derive the list of inspection list for the reference of inspecting group simultaneously.
As shown in Figure 2, a kind of electricity consumption trend anomaly suspicion analytical approach and supervisory system of opposing electricity-stealing, the software implement scheme of design system platform in figure, realizes the exploitation of whole system platform according to the realization flow of software.Underwriter's machine interactive interface is convenient and practical, is easy to study and understands.
The software section of native system mainly realizes the Accurate Analysis of suspicion electricity to low pressure Gong Biantai district user and suspicion degree, in conjunction with suspicion degree electricity threshold values screening suspicion rich and influential family, locates high suspicion district user in conjunction with suspicion bottom valve value; To tracing and monitoring of the emphasis suspicion user failing to check and verify and the suspicion user that checked and verify; The rolling accumulation of knowledge base of opposing electricity-stealing.
As shown in Figure 3, a kind of electricity consumption trend anomaly suspicion analytical approach and supervisory system of opposing electricity-stealing, show an example and check and verify stealing user coulometric analysis curve comparison in figure.Wherein green line represents the change of its normal trend, and red line is actual Electrical change, and blue line is that stealing suspicion is write music line.This user is non-resident user, suspicion analysis result shows this user at the bottom of year February in January, 2014 to 2014, stealing suspicion number of times is 23 times, suspicion electricity average level is 84.23 degree, suspicion electricity conservative estimation 1937.29 degree of electricity, the last stealing suspicion time, day occurred is on February 27th, 2014.Curvilinear trend shows, and user to electricity consumption level continuous decrease during this section in February 10, reached 61.1% with normal trend deviation from January 18.Inspection data shows, the hidden cross-over connection stealing of fuse before this subscriber's meter.
Claims (8)
1. an electricity consumption trend anomaly suspicion analytical approach and supervisory system of opposing electricity-stealing, it is characterized in that, comprise power information state estimation, the multiplexing electric abnormality suspicion analysis of low pressure Gong Biantai district, suspicion user filtering and location, the monitoring of emphasis suspicion family, knowledge base of opposing electricity-stealing four modules; Wherein:
(1) power information state estimation: for solving the data problem such as electric energy acquisition registration exception, time point image data disappearance, user's account information asymmetry;
(2) low pressure Gong Biantai district multiplexing electric abnormality suspicion is analyzed: for analysing the multiplexing electric abnormality mutual affection of user under low pressure Gong Biantai district;
(3) suspicion user filtering and location: for filtering suspicion electricity rich and influential family, and location suspicion rich and influential family;
(4) emphasis suspicion family monitoring: do not check and verify high suspicion position multiplexing electric abnormality user for following the tracks of;
(5) to oppose electricity-stealing knowledge base: to oppose electricity-stealing ABC for accumulation, and record is previously opposed electricity-stealing typical case experience, for study and reference.
2. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that, described power information state estimation is specifically from acquisitions such as marketing SG186 system, power information acquisition systems: the power informations such as energy data (electricity, voltage, electric current etc.), metering abnormal information (table meter abnormal information), (circuit, platform district and user) account information, rules such as adopting threshold values to reject, substitute, fill up is carried out verification estimate energy data, account data.
3. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that, described low pressure Gong Biantai district multiplexing electric abnormality suspicion is analyzed, and specifically comprises user's suspicion electricity and the analysis of user power utilization suspicion degree: suspicion electricity computing method adopt trend anomaly analytical algorithm to calculate the possible power-steeling quantity of user corresponding to its multiplexing electric abnormality; The analysis of user power utilization suspicion degree is as the stealing suspicion degree in user's computation period using the ratio of the power consumption of user's suspicion electricity and user.
4. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 3 and supervisory system of opposing electricity-stealing, it is characterized in that, described trend anomaly analytical algorithm, under Shi Jiangtai district, each fellow users historical temperature is close to the electricity summation average of day, the variation tendency obtained compared with calculating day each fellow users electricity summation, the electricity trend level of day is calculated as fellow users under this district, the trend SOC values that each user's historical temperature obtains by this Long-term change trend close to the electricity average level of day, deduct the electric quantity data that this user calculates day again, the difference obtained calculates the suspicion electricity of day as this user.
5. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that, described suspicion user filtering and locating module, specifically comprise filtration suspicion electricity rich and influential family and location electricity consumption suspicion rich and influential family: the former filters suspicion electricity rich and influential family according to presetting suspicion electricity threshold values, the latter delimit the high-order district user of suspicion according to suspicion degree size.
6. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that, described emphasis suspicion family monitoring module, specifically comprise previously stealing check and verify user monitoring and in the recent period part do not check and verify the monitoring of the high-order district user of suspicion, in certain monitoring period, there is not the monitor procedure cancelled that stealing record or suspicion degree reduce gradually in emphasis suspicion family.
7. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that, described base module of opposing electricity-stealing, specifically comprise stealing rudimentary knowledge technical ability part and stealing case study section, wherein, stealing rudimentary knowledge part comprises conventional (special type) stealing gimmick, sends out the application of stealing technology, and stealing case analysis then contains the overall processes such as the analysis of previously stealing user, location, inspection, evidence obtaining and process, for study and reference.
8. a kind of electricity consumption trend anomaly suspicion analytical approach according to claim 1 and supervisory system of opposing electricity-stealing, it is characterized in that: described a kind of electricity consumption trend anomaly suspicion analytical approach and supervisory system of opposing electricity-stealing use trend anomaly data mining technology, by comparison fellow users trend difference situation, finally calculate user's suspicion electricity and suspicion degree level.A kind of electricity consumption trend anomaly suspicion analytical approach and the low pressure Gong Biantai district multiplexing electric abnormality suspicion analysis of opposing electricity-stealing in supervisory system and suspicion user filtering and location suspicion analytic function instead of manual analysis process, solve the large efficiency of data volume low, the insecure problem of analysis result.
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| CN106405276A (en) * | 2016-08-26 | 2017-02-15 | 中国电力科学研究院 | Low voltage network electricity theft detection method based on AMI data |
| CN106685086A (en) * | 2017-01-19 | 2017-05-17 | 国网山东省电力公司邹城市供电公司 | Remote power utilization management system |
| CN106707099A (en) * | 2016-11-30 | 2017-05-24 | 国网上海市电力公司 | Monitoring and locating method based on abnormal electricity consumption detection module |
| CN106780115A (en) * | 2016-11-30 | 2017-05-31 | 国网上海市电力公司 | Abnormal electricity consumption monitoring and alignment system and method |
| CN109308335A (en) * | 2018-08-22 | 2019-02-05 | 深圳市星火电子工程公司 | It is a kind of that system and method are searched based on the suspect virtually positioned |
| CN110346661A (en) * | 2019-05-23 | 2019-10-18 | 广西电网有限责任公司 | A kind of method and system of user's electric voltage exception automatic detecting |
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| CN112787328A (en) * | 2021-04-12 | 2021-05-11 | 国网四川省电力公司电力科学研究院 | Power distribution network historical state estimation method and system based on hybrid measurement |
| CN112990943A (en) * | 2021-03-16 | 2021-06-18 | 上海万向区块链股份公司 | Method and system for realizing block chain prediction machine based on image information identification of biological assets |
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| CN105699760B (en) * | 2016-01-22 | 2018-09-18 | 国网冀北电力有限公司电力科学研究院 | The operating condition analysis method of electric energy measuring equipment and power information collecting device |
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| CN106203832A (en) * | 2016-07-12 | 2016-12-07 | 亿米特（上海）信息科技有限公司 | Intelligent electricity anti-theft analyzes system and the method for analysis |
| CN106203832B (en) * | 2016-07-12 | 2020-03-27 | 亿米特(上海)数据科技有限公司 | Intelligent electricity larceny prevention analysis system and analysis method |
| CN106199276A (en) * | 2016-07-25 | 2016-12-07 | 国电南瑞科技股份有限公司 | The intelligent diagnosis system of abnormal information and method in a kind of power information acquisition system |
| CN106199276B (en) * | 2016-07-25 | 2018-11-30 | 国电南瑞科技股份有限公司 | The intelligent diagnosis system and method for exception information in a kind of power information acquisition system |
| CN106405276A (en) * | 2016-08-26 | 2017-02-15 | 中国电力科学研究院 | Low voltage network electricity theft detection method based on AMI data |
| CN106707099B (en) * | 2016-11-30 | 2019-04-12 | 国网上海市电力公司 | Monitoring and positioning method based on abnormal electricity consumption detection model |
| CN106780115A (en) * | 2016-11-30 | 2017-05-31 | 国网上海市电力公司 | Abnormal electricity consumption monitoring and alignment system and method |
| CN106707099A (en) * | 2016-11-30 | 2017-05-24 | 国网上海市电力公司 | Monitoring and locating method based on abnormal electricity consumption detection module |
| CN106685086B (en) * | 2017-01-19 | 2020-01-31 | 国网山东省电力公司邹城市供电公司 | Remote power utilization management system |
| CN106685086A (en) * | 2017-01-19 | 2017-05-17 | 国网山东省电力公司邹城市供电公司 | Remote power utilization management system |
| CN109308335A (en) * | 2018-08-22 | 2019-02-05 | 深圳市星火电子工程公司 | It is a kind of that system and method are searched based on the suspect virtually positioned |
| CN110346661A (en) * | 2019-05-23 | 2019-10-18 | 广西电网有限责任公司 | A kind of method and system of user's electric voltage exception automatic detecting |
| CN112649641A (en) * | 2020-12-14 | 2021-04-13 | 北京科东电力控制系统有限责任公司 | Electricity stealing user judgment method based on electricity stealing characteristics |
| CN112649641B (en) * | 2020-12-14 | 2023-05-02 | 北京科东电力控制系统有限责任公司 | Electricity stealing user judging method based on electricity stealing characteristics |
| CN112990943A (en) * | 2021-03-16 | 2021-06-18 | 上海万向区块链股份公司 | Method and system for realizing block chain prediction machine based on image information identification of biological assets |
| CN112990943B (en) * | 2021-03-16 | 2023-04-07 | 上海万向区块链股份公司 | Method and system for realizing block chain prediction machine based on image information identification of biological assets |
| CN112787328A (en) * | 2021-04-12 | 2021-05-11 | 国网四川省电力公司电力科学研究院 | Power distribution network historical state estimation method and system based on hybrid measurement |
| CN112787328B (en) * | 2021-04-12 | 2021-06-29 | 国网四川省电力公司电力科学研究院 | Power distribution network historical state estimation method and system based on hybrid measurement |
| CN113452145A (en) * | 2021-08-30 | 2021-09-28 | 广东电网有限责任公司中山供电局 | Method and system for monitoring power utilization condition of low-voltage transformer area user |
| CN113452145B (en) * | 2021-08-30 | 2022-01-25 | 广东电网有限责任公司中山供电局 | Method and system for monitoring power utilization condition of low-voltage transformer area user |
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