CN106685086A - Remote power utilization management system - Google Patents
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- CN106685086A CN106685086A CN201710043100.6A CN201710043100A CN106685086A CN 106685086 A CN106685086 A CN 106685086A CN 201710043100 A CN201710043100 A CN 201710043100A CN 106685086 A CN106685086 A CN 106685086A
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Abstract
The invention belongs to the field of power grid construction, and in particular relates to a remote power utilization management system. The remote power utilization management system comprises a data acquisition layer, a master station layer and a communication layer, wherein the data acquisition layer is used for acquiring information, the master station layer is used for processing and analyzing, and the communication layer is used for communicating the data acquisition layer with the master station layer. Compared with the prior art, the remote power utilization management system has the advantages that by mutual matching of the data acquisition layer, the master station layer and the communication layer, data acquired by the acquisition layer and an analysis method of the master station layer, an electricity theft user is effectively determined, a power utilization circuit is further checked, electricity stealing and electricity theft behaviors are effectively prevented, and the loss of a power supply company is further reduced.
Description
Technical field
The invention belongs to power grid construction field, more particularly to a kind of remote power utilization management system.
Background technology
Power industry is the infrastructural industries in national economy, is related to national economy, the property with public service, electricity
Power development is social progress and the basic guarantor for improving the people's livelihood.Ensure that power grid enterprises withdraw in time the electricity charge and are to ensure that electric power development
Essential condition, be also the inevitable choice for protecting state-owned assets and Maintenance Market order.But due to a variety of causes, current stealing
Also generally existing, some areas even also act recklessly.Stealing is huge to the loss that power grid enterprises bring.
Increasingly serious electricity filching behavior, has an immense impact on to the benefit of power supply enterprise, also results in national economy huge
Loss.Stealing not only compromises the economic interests of country and electric power enterprise, also injures the safe operation of electrical network, hinders electric power
The normal development of industry.Disorderly connecing behavior easily causes personal safety accident for the private drawing of individual user.In addition, part industry and commerce user
Particularly highly energy-consuming trade, electricity charge accounting in its cost is very big, and electricity filching behavior can destroy the environment of market fair competition.
At present, electricity filching behavior is mainly by the following means：1st, the wiring electricity consumption without authorization on the power supply facilities of power supply enterprise；2、
Around the Electro-metering device electricity consumption of more power supply enterprise；3rd, forge or open what legal or mandate metering validation activity was sealed up
Electro-metering device seal electricity consumption；4th, wilful damage power supply enterprise Electro-metering device.5th, power supply enterprise's Electro-metering is deliberately made
Device is inaccurate or fails；6th, using additive method stealing.
But for the above-mentioned behavior opposed electricity-stealing, at the beginning of for a long time China also rests in terms of System Construction of opposing electricity-stealing
In stage beginning, artificial investigation is relied primarily on, means of prevention falls behind, cause that stealing molecule is increasingly rampant, electricity filching behavior is increasingly serious.
The content of the invention
The technical problem that the present invention exists for above-mentioned traditional anti-electricity-theft means, proposes a kind of reasonable in design, structure
It is simple and convenient to operate and can accurately identify the remote power utilization management system of stealing user.
In order to achieve the above object, the technical solution used in the present invention is that the present invention provides a kind of remote management system
System, including for gathering the data collection layer of information, the main website layer for Treatment Analysis and for data collection layer and main website
Layer between communicate communication layers, wherein, the data collection layer include be arranged on high voltage side of transformer high-voltage radio harvester,
The low pressure for being arranged on step down side specially becomes harvester and is arranged on the intelligent electric meter of low-voltage customer side, the main website layer
Including providing the functional modules of unified service application operation interface and information impression window, for realizing stealing analytic operation
Application module, for provide general service service, the Component service module of security service and for realize ultrahigh- density data storage,
The DBM for accessing, arranging, the application module includes analyzing stealing according to detection power and actual electric power
The single-phase electric energy analytic unit of behavior, based on the electricity consumption detector unit of particle algorithm group's algorithm, based on lateral transfer detect it is different
Conventional family analytic unit, the trend suspicion customer analysis unit for the analysis of suspicion degree and single for concluding single-phase electric energy analysis
Unit, electricity consumption detector unit, abnormal user analytic unit and trend suspicion customer analysis element analysises data and finding out most are stolen
The comprehensive data analysis unit of electric suspicion.
Preferably, the data collection layer is used to gather total electric energy indicating value, electric energy peak value, electric energy valley, electric current, electricity
Pressure, power factor, phase angle, ammeter type, platform area line loss value, the same ratio of electric energy, current three-phase unbalance factor and voltage three
Phase unbalance factor.
Preferably, the high-voltage radio harvester is uniformly arranged on three-phase circuit using busbar formula.
Preferably, the single-phase electric energy analytic unit is based on formula：
Wherein, the Pr is the electric power of electric energy meter metering, and Pm is the actual electric power of user,For phase angle.
Preferably, the trend suspicion customer analysis unit is based on formula：
Wherein,
Wherein, X be suspicion degree, eiFor the power consumption of user's i this months,For platform area moon power consumption sequential growth rate trend, ei-1
For the power consumption of user's i last months.
Compared with prior art, advantages of the present invention and good effect be,
1st, the present invention passes through to provide a kind of remote power utilization management system, using data collection layer, main website layer and communication layers
Between cooperate, by the data gathered according to acquisition layer, using the analysis method of main website layer stealing user is effectively determined,
And then it is investigated with electric line, the generation of power stealing, electricity filching behavior is prevented effectively from, and then reduce the loss of electric company.
Description of the drawings
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be to use needed for embodiment description
Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are some embodiments of the present invention, for ability
For the those of ordinary skill of domain, without having to pay creative labor, can be with other according to these accompanying drawings acquisitions
Accompanying drawing.
Fig. 1 is the structural representation of the remote power utilization management system that embodiment 1 is provided；
Fig. 2 is the flow chart of the remote power utilization management system that embodiment 1 is provided；
Fig. 3 is the structural representation of the application module that embodiment 1 is provided.
Specific embodiment
In order to be more clearly understood that the above objects, features and advantages of the present invention, with reference to the accompanying drawings and examples
The present invention will be further described.It should be noted that in the case where not conflicting, in embodiments herein and embodiment
Feature can be mutually combined.
Many details are elaborated in the following description in order to fully understand the present invention, but, the present invention may be used also
To be implemented using other modes described here are different from, therefore, the present invention is not limited to the concrete of description described below
The restriction of embodiment.
Embodiment 1, as shown in Figure 1, Figure 2, Figure 3 shows, the present embodiment provides a kind of remote for being specifically designed for electricity filching behavior
Management system, including for gathering the data collection layer of information, in the present embodiment, data collection layer is mainly used in gathering total electricity
Energy indicating value, electric energy peak value, electric energy valley, electric current, voltage, power factor, phase angle, ammeter type, platform area line loss value, electric energy are same
Ratio, current three-phase unbalance factor and voltage three-phase imbalance rate, wherein, the same ratio of electric energy, current three-phase unbalance factor with
And voltage three-phase imbalance rate needs just to be obtained through simple calculating, because this is conventional calculating, therefore in this enforcement
In example, its etc. is all into gathered data, in order to realize the collection of data, data collection layer is mainly by being arranged on transformer high-voltage
The high-voltage radio harvester of side, the low pressure for being arranged on step down side specially become harvester and are arranged on low-voltage customer side
Intelligent electric meter, data collection layer is the basal core part of system, is the basis of system Jian exhibition data analysiss and application, in view of adopting
The collection miscellaneous feature of continuous data, the self-defined acquisition tasks template of system determines the particular content of acquisition tasks, including appointing
Business title, task type, collection vertex type, collection point title, Bian collection point numbering, gathered data item, the tasks carrying beginning and ending time,
Collection period, execution priority and normal filling mining number of times etc., and can be according to Bian collection point title, customer name, acquisition tasks title
Check askes all acquisition tasks information, and by collection service, automatically timing performs task, is easy to manage and extends.
Also it is used for the main website layer of Treatment Analysis, main website layer is made up of software section and hardware components, the hardware of main website layer
Part mainly by number pick storehouse servers, disk array, application server, front server, interface server, work station, clock,
The network equipment composition of firewall box and correlation, in the present embodiment, is used for by database server group into main website layer
The DBM for realize ultrahigh- density data storage, access, arranging, in the present embodiment, data management system adopts SQL
Server2000 data bases, using ADO as front end interface in terms of data access.In the present embodiment, database purchase
Data have the following aspects (1) archive information of enterprises to include unit, director, postcode and address etc., affiliated business area code
With remark information etc.；(2) the relevant data of User Profile information.Including address name, sex, date of birth, address, postcode, enter
Firmly time, affiliated business area code and remark information etc.；(3) data that data collection layer is gathered back.Including the negative control dress in scene
Put current data, voltage data, active power data and the reactive power data for gathering back；(4) analysis and comparison data.It is main
If referring to the preset data scope for enterprise and user, for detecting enterprise and user power utilization whether specification；(5) electricity price is relevant
Data.Including electricity charge multiplying power when electricity charge multiplying power when enterprise's electric rate, resident family's electric rate, peak and corresponding period, paddy and
Corresponding period etc.；(6) the relevant data of systematic account.Account name, password including systematic account and the authority having
Deng.
Main website layer also includes the functional modules of the unified service application operation interface of offer and information impression window, representative model
Block is to provide unified service application operation interface and information impression window, is the part that system region be directly facing operation user,
In the present embodiment, functional modules mainly include that service management unit, basic service unit, browse queries unit, power consumption parameter set
Put unit, Data Management Unit, alarm management unit and the unit that logs off, wherein, service management unit is used to manage whole
Various types of operators in software system.Only the system manager with management personnel's identity could use this unit, be
System manager can add or delete corresponding operating person, thus it is possible to vary the identity of operator.Certain operator can also be changed
Password；Basic service unit is used for being powered the same normal groundwork of department, including to the opening an account of user, sale of electricity, electricity consumption
Data acquisition, remotely control and electricity consumption data output etc..System manager and common sale of electricity personnel can use the unit；Browse
Query unit is mainly including the information of following several respects, including user basic information, user's power purchase information, power information etc..Can
To browse the relevant information of each user one by one, it is also possible to inquired about according to condition；Power consumption parameter setting unit is used for setting
Put system initial parameter, rate etc.；Alarm management unit is mainly reported to the police according to the analysis result of main website layer applying unit；Number
Being mainly enterprise and files on each of customers management mainly management enterprise and User Profile information according to management includes unit, director, postal
Volume, affiliated business area code and remark information and address name etc..Management system can be as needed changed these information,
Increase or delete, and input information is carried out according to different conditions the operation such as inquire about.
Main website layer also includes service module, and service module mainly provides the general business service of total system, security service etc.
Component service is supported, and realizes the special service logic service of the system, and for application module general technical support is provided.
Emphasis in the present embodiment is application module, and application module realizes concrete service logic, is the core of system main website
Central layer, in order to accurately judge stealing user, in the present embodiment, application module is divided into according to detection power and reality
Electric power analysis electricity filching behavior single-phase electric energy analytic unit, based on the electricity consumption detector unit of particle algorithm group's algorithm, be based on
Lateral transfer detecting abnormal user analytic unit, for suspicion degree analysis trend suspicion customer analysis unit and for returning
Receive single-phase electric energy analytic unit, electricity consumption detector unit, abnormal user analytic unit and trend suspicion customer analysis element analysises
Data simultaneously find out the comprehensive data analysis unit of most stealing suspicion.
Single-phase electric energy analytic unit is to measure single-phase electricity by intelligent electric meter, thus derives the power consumption of user.Electricity
The burden with power of energy meter amount can be calculated by formula：
P in formulamFor the active power of electric energy meter metering, UABFor AB phase voltages, IAFor A phase currents,For phase angle.According to
Three phase power calculates formula and understands that user's burden with power theoretical value can be calculated by following formula：
In formula, Pr is the actual burden with power power of user, and U is voltage, and I is electric current,For phase angle.
Therefore, there is following relation with user's burden with power theoretical value in the burden with power of electric energy meter metering
Wherein, the Pr is the electric power of electric energy meter metering, and Pm is the actual electric power of user,For phase angle.
The actual electric power of user can be extrapolated by above formula, therefore, obtained by the actual use Electricity Functional of user
Electric energy and the electric energy that gathered of electric energy meter contrasted, and then can determine whether user makes change at electric energy meter, with
Reach electricity filching behavior.
Also include that it is mainly with user's history load data as base based on the electricity consumption detector unit of particle algorithm group's algorithm
Plinth, has similarity with the variation tendency of area same type power load, but the equipment of different type and quantity causes load base
Number is different, and user is little with itself load variations of January in the adjacent time.Based on These characteristics, to area same type
The load data of user is normalized, and the historical load data of user itself then retains initial value.Load data is entered
The normalized process of row.
In formula, XiminAnd XimaxFor the minima and maximum of i-th user in load data.
After user's trade power consumption load data is normalized, then extracts history electricity consumption using PSO algorithms and bear
Lotus modeling curve and user investigate day standard electricity consumption curve, then in the Time Series Matching based on correlation coefficient, Yong Hukao
Matching for day power load and itself historical load pattern is examined, the consistent of variation tendency, and load radix is not only embodied
Relatively.Therefore, using the matching degree that HLD and CLD are calculated based on the tolerance of average relative distance, it is defined as follows：
Obtain user and investigate daily load curve and the matching degree with area fellow users load pattern curve, user investigates day
After the matching degree of load curve and user's history load pattern curve, the preference to two matching degrees is determined according to practical situation,
Final weighted sum obtains the positive normal manner of electricity consumption of user, and power supply enterprise can arrange electricity consumption according to the credit standing assessment to user
The alarm threshold value of positive normal manner, when the positive normal manner of the electricity consumption of user is more than alarm threshold value, then the user is normal users；Conversely, then
User's exception electricity consumption number of times will Jia 1, and after at the appointed time Q is more than several times in length, user is listed in abnormal electricity consumption suspicion
User, needs to send inspector to user's Site Detection, concludes that user whether there is electricity filching behavior according to testing result.It is abnormal
Electricity consumption number of times Q equally can be arranged according to the credit standing assessment to user, and by particle algorithm group's algorithm use is may determine that
Family whether there is stealing suspicion.
Application module also includes the abnormal user analytic unit based on lateral transfer detecting, and abnormal user analytic unit is based on
The lateral transfer decision method of accumulative and value is applied to the investigation of abnormal electricity consumption in set time span daily power consumption sequence, refinement
Corresponding method.Under simple example explanation：It is according to n data point is included in the time span of known daily power consumption data, i.e., right
The daily power consumption data of n days are answered, remembers that daily power consumption time serieses of gained after tranquilization process are X1, X2, X3…Xn.To detect
Lateral transfer is found, the determination step for adding up and being worth method is as follows, and the meansigma methodss of n data are calculated as follows out first：
And then define accumulative and be worth the accumulation for each point value with above-mentioned meansigma methodss difference, i.e.,：
Value will be calculated to draw out in chronological order, added up and value figure, then, according to feelings that are accumulative and being worth figure
Condition, calculates accumulation and the slope being worth, and computing formula is:
Acclivitous part line segment means that the data point values in this period are all more than number in accumulative and value figure
Corresponding according to meansigma methodss, downward-sloping part line segment means data point values in this period all in accumulative and value figure
Less than statistical average.The part line segment of opposing straight means that the data point in this period does not occur in accumulative and value figure
Mutation, and the flex point in accumulative and value figure means that data point occurs in that unexpected level change.In this approach analyzing
Whether example user daily power consumption seasonal effect in time series is accumulative and is worth figure, occur in user's daily power consumption time serieses so as to know
Lateral transfer is crossed, and then judges whether electricity consumption user has abnormal electricity consumption suspicion.
Application module also includes trend suspicion customer analysis unit, and trend suspicion customer analysis unit is mainly built-in trend
Suspicion parser is analyzed, and trend suspicion parser is totally become by analyzing power consumption in certain section of cycle in certain area
Change trend (compared) with last cycle power consumption, in this, as trend with reference to the respective isoperimetric of each user under the relative analyses areas
Power consumption variation tendency in phase, occurs largely being judged to suspicion user if inconsistent situation if user's trend, according to differing
Cause degree size is the essential content of trend suspicion parser measuring stealing suspicion degree, and the general cycle is in units of the moon.
The user that the algorithm is mainly under leave from office area of platform area is named, such as, there is M user under certain area.I-th use
The power consumption of family this month is ei, user's last month power consumption is ei-1, user's this month per day power consumption isThis month day
Number is respectively E, E for the power consumption of N, Ze Gaitai areas this month and last month-1,
Then, moon power consumption sequential growth rate trend in platform area is：
Meanwhile, can be in the hope of the moon power consumption growth trend of each user：
Suspicion user's decision rule:User's this month power consumption trend
User be normal users, if being less than, for suspicion user.In suspicion user, increment trend departure degree is bigger,
Suspicion degree is bigger.Suspicion degree is calculated such as formula：
Wherein,
Wherein, X be suspicion degree, eiFor the power consumption of user's i this months,For platform area moon power consumption sequential growth rate trend, ei-1
For the power consumption of user's i last months, if desired big power consumption user is filtered out by power consumption size, now can be according to screening threshold
Value, removes part suspicion family, and remaining suspicion family is all big power consumption user.Finally, drawing needs the user of investigation.
By above-mentioned 4 units, using different algorithms, and then certain suspicion personnel are determined, then by synthetic data
Analytic unit, finds out the user that occurs simultaneously in 4 units or the user at least occurring twice, it is determined that maximum suspicion user,
And then alarm is sent, arrange to go investigation before electric company personnel.
Communication layers are the ties of main website layer and data collection layer, there is provided various available wired and wireless communication letters
Road, the information exchange for main website and acquisition terminal provides link basis.The main communication channel for adopting has：Optical fiber private network, GPRS/
Cdma wireless public network, wireless private network, in the present embodiment, using GPRS wireless public networks.
The above, is only presently preferred embodiments of the present invention, is not the restriction for making other forms to the present invention, is appointed
What those skilled in the art changed possibly also with the technology contents of the disclosure above or be modified as equivalent variations etc.
Effect embodiment is applied to other fields, but every without departing from technical solution of the present invention content, according to the technical spirit of the present invention
Any simple modification, equivalent variations and the remodeling made to above example, still falls within the protection domain of technical solution of the present invention.
Claims (5)
1. a kind of remote power utilization management system, it is characterised in that include for gathering the data collection layer of information, for processing point
The main website layer of analysis and the communication layers for communicating between data collection layer and main website layer, wherein, the data collection layer includes
The high-voltage radio harvester for being arranged on high voltage side of transformer, the low pressure for being arranged on step down side specially become harvester and set
The intelligent electric meter in low-voltage customer side is put, the main website layer includes that the unified service application operation interface of offer and information show window
Functional modules, the application module for realizing stealing analytic operation, the group for providing general service service, security service of mouth
Part service module and the DBM for realizing ultrahigh- density data storage, access, arrange, the application module includes basis
The single-phase electric energy analytic unit of detection power and actual electric power analysis electricity filching behavior, based on particle algorithm group's algorithm
Electricity consumption detector unit, based on lateral transfer detect abnormal user analytic unit, for suspicion degree analysis trend suspicion user
Analytic unit and dislike for concluding single-phase electric energy analytic unit, electricity consumption detector unit, abnormal user analytic unit and trend
Doubtful customer analysis element analysises data simultaneously find out the comprehensive data analysis unit of most stealing suspicion.
2. remote power utilization management system according to claim 1, it is characterised in that the data collection layer is used to gather total
Electric energy indicating value, electric energy peak value, electric energy valley, electric current, voltage, power factor, phase angle, ammeter type, platform area line loss value, electric energy
Same ratio, current three-phase unbalance factor and voltage three-phase imbalance rate.
3. remote power utilization management system according to claim 1, it is characterised in that the high-voltage radio harvester is using female
Row's formula is uniformly arranged on three-phase circuit.
4. remote power utilization management system according to claim 1, it is characterised in that the single-phase electric energy analytic unit is based on
Formula：
Wherein, the Pr is the electric power of electric energy meter metering, and Pm is the actual electric power of user,For phase angle.
5. remote power utilization management system according to claim 1, it is characterised in that the trend suspicion customer analysis unit
Based on formula：
Wherein,
Wherein, X be suspicion degree, eiFor the power consumption of user's i this months,For platform area moon power consumption sequential growth rate trend, ei-1It is use
The power consumption of family i last months.
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| CN107861389A (en) * | 2017-10-09 | 2018-03-30 | 珠海格力电器股份有限公司 | Electric equipment display processing method |
| CN107861389B (en) * | 2017-10-09 | 2020-11-10 | 珠海格力电器股份有限公司 | Electric equipment display processing method |
| CN107907759A (en) * | 2017-10-26 | 2018-04-13 | 国网黑龙江省电力有限公司信息通信公司 | The electricity monitoring system and method for power equipment |
| CN109243162A (en) * | 2018-11-21 | 2019-01-18 | 杭州中自沣泰环境技术有限公司 | Meter register method, apparatus and system based on intelligence instrument |
| CN112816775A (en) * | 2020-12-15 | 2021-05-18 | 国网宁夏电力有限公司营销服务中心(国网宁夏电力有限公司计量中心) | Hidden line electricity stealing troubleshooting and detecting method |
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