CN108647246A - Specially become the diagnostic method of electricity abnormity diagnosis platform architecture - Google Patents
Specially become the diagnostic method of electricity abnormity diagnosis platform architecture Download PDFInfo
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- CN108647246A CN108647246A CN201810334795.8A CN201810334795A CN108647246A CN 108647246 A CN108647246 A CN 108647246A CN 201810334795 A CN201810334795 A CN 201810334795A CN 108647246 A CN108647246 A CN 108647246A
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- electricity
- abnormity diagnosis
- accounting
- meter reading
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a kind of special diagnostic methods for becoming electricity abnormity diagnosis platform architecture.This method passes through automatic collection Electric Power Marketing System, the file data and meter reading data of metering automation system specially to become electricity abnormity diagnosis platform, pass through the rule and threshold values of customization, automatic intelligent diagnosis is carried out to specially becoming electricity abnormal data, abnormal data prompt is provided, the guiding electricity charge calculate personnel and carry out electricity electricity charge confirmation work.
Description
Technical field
The present invention relates to the electricity charge calculation business fields of electric power supply system, and in particular to a kind of specially to become electricity abnormity diagnosis
The diagnostic method of platform architecture.
Background technology
What the electricity charge were calculated to the effect that calculates calculating, verification of the personnel to user power consumption.It, can core in calculation process
To the logical relation of the essential information and electricity charge data of the correspondences of data, data, user, corresponding accounting criteria cannot be satisfied
It is abnormal data, and forms the electricity charge and calculate abnormal inventory, and relevant staff can goes to site inspection；If there is difference
Mistake can then carry out the move back expense of the electricity charge or mend expense.
However, the electricity charge at this stage are primarily present problems in calculating：
（1）In electricity charge calculation process, for peak Pinggu dislocation, stoichiometric point dislocation etc. abnormal datas, marketing system can not filter or
Alarm is abnormal, can live meter reading data directly be carried out calculating distribution, cause larger marketing mistake；
（2）Becoming electricity electricity charge exception verification needs largely manually carry out the single table code verification of previous review, industry expansion work order information approval,
It could realize the correct clearing of client's electricity charge；
（3）It uprushes, anticlimax stability bandwidth verification rule extremely need to manually calculate setting, shortage science intelligence foundation；
（4）As market-oriented settlement of transactions customer quantity will be continuously increased, the accuracy that core is copied to the practical electricity of client proposes
Higher requirement especially lacks intelligent decision and stability bandwidth normalization monitoring mechanism to specially becoming verification condition threshold value setting.
Therefore, the technology that how to rest on a scientific basis structure sound, intelligent electricity charge monitoring and accounting system, further realize more
Efficient electricity charge calculation business, has great importance.
Invention content
In view of the above-mentioned deficiencies in the prior art, it is an object of the present invention to provide a kind of specially change electricity abnormity diagnosis platform architecture
Diagnostic method.This method passes through automatic collection Electric Power Marketing System, metering automation system specially to become electricity abnormity diagnosis platform
Archive information, the meter reading data of system carry out automatic intelligent by the rule and threshold values of customization to specially becoming electricity abnormal data
Diagnosis, provides abnormal data prompt, and the guiding electricity charge calculate personnel's progress electricity electricity charge and confirm work.
The purpose of the present invention is achieved through the following technical solutions.
A kind of special diagnostic method for becoming electricity abnormity diagnosis platform architecture, specially becomes electricity data exception diagnostic platform, generates
Electricity abnormal data reports that the guiding electricity charge calculate personnel and carry out electricity charge accounting, include the following steps：
（1）Formulate timed task, automatically extract marketing system, metering system file data and meter reading data；
（2）Carry out file data abnormity diagnosis；
（3）Carry out meter reading data abnormity diagnosis.
Preferably, step（2）In, file data abnormity diagnosis includes：According to rule, processing stoichiometric point number is identical but uses
Different abnormal data is numbered at family, generates abnormality alarming, and distinguish marketing users and non-commercially user, shows current calculate
State provides issue handling priority for accounting personnel.
Preferably, step（2）In, file data abnormity diagnosis includes：According to rule, processing stoichiometric point numbers identical but table
The different abnormal data of asset number is counted, generates abnormality alarming, and distinguish marketing users and non-commercially user, display is current
Accounting state provides issue handling priority for accounting personnel.
Preferably, step（2）In, file data abnormity diagnosis includes：According to rule, multiplying power abnormal data is handled, is generated
Abnormality alarming, and marketing users and non-commercially user are distinguished, show current accounting state, personnel provide issue handling for accounting
Priority.
Preferably, step（3）In, meter reading data abnormity diagnosis includes：According to rule, the positive active abnormal number of point of processing
According to, generation abnormality alarming, and marketing users and non-commercially user are distinguished, show current accounting state, personnel provide for accounting
Issue handling priority.
Preferably, step（3）In, meter reading data abnormity diagnosis includes：According to rule, current period electricity stability bandwidth is calculated, with
Threshold values compares, and is more than threshold values, generates abnormality alarming, and distinguish marketing users and non-commercially user, shows and currently calculate state,
Issue handling priority is provided for accounting personnel.
Preferably, step（3）In, meter reading data abnormity diagnosis includes：According to rule, current period electricity stability bandwidth is calculated with before
The quotient of three phase electricity stability bandwidths, then with threshold values compare, be more than threshold values, then generate abnormality alarming, and distinguish marketing users with it is non-
Marketing users show current accounting state, issue handling priority are provided for accounting personnel.
Preferably, step（3）In, meter reading data abnormity diagnosis includes：According to history meter reading electricity data, it is bent to form electricity
Line chart analyses whether that there are electricity to uprush steep drop extremely, and for accounting, personnel provide auxiliary.
Compared with prior art, the invention has the advantages that and advantageous effect：
The present invention is improved and is improved to electricity charge calculation business, and the diagnosis side for specially becoming electricity data exception diagnostic platform is provided
Method automatically analyzes diagnostic function using platform, is crashed and is analyzed as means with the data between metering automation system and marketing system,
Data check model is customized, marketing is extracted with continuous data, verifies, analyze, verifying, presenting, to realize electricity charge core
Quickly positioning core, while intelligent association marketing system are carried out for abnormal datas such as the dislocation of peak Pinggu, stoichiometric point dislocation during calculation
The case where system expands work order there are industry but files slow client, and there are table code exception, overturnings, is associated analysis automatically, auxiliary
Synergid nuclei calculates personnel and quickly positions electricity abnormal data, reduces the extremely live review work order of the large batch of electricity charge and generates.
Description of the drawings
Fig. 1 is the special systems function diagram for becoming electricity abnormity diagnosis platform architecture used in the embodiment of the present invention 1；
Fig. 2 is the special system architecture diagram for becoming electricity abnormity diagnosis platform architecture used in the embodiment of the present invention 1.
Specific implementation mode
Technical scheme of the present invention is described in further detail below in conjunction with specific embodiment and attached drawing, but the present invention
Protection domain and embodiment it is without being limited thereto.
Embodiment 1
It is a kind of it is special become the diagnostic method of electricity abnormity diagnosis platform architecture, wherein the systems function diagram of the platform architecture used and being
Uniting, Organization Chart difference is as depicted in figs. 1 and 2, and platform architecture is directly connected to database server, using clothes by center switch
The main road of business device, Web server and connection control terminal is by function includes the comparison of stoichiometric point information, comprehensive odds compare, peak is put down
Paddy point exceptional value, the monitoring of charging electricity stability bandwidth, the monitoring of meter reading electricity stability bandwidth, meter reading data consistency compare and move back benefit electricity
Situation is measured, specific diagnosis algorithm is as follows：
（1）Formulate timed task, automatically extract marketing system, metering system file data and meter reading data.
（2）File data abnormity diagnosis is carried out, including：
（2.1）According to rule, processing stoichiometric point numbers the different abnormal data of identical but Customs Assigned Number, generates abnormality alarming,
And marketing users and non-commercially user are distinguished, current accounting state is shown, issue handling priority is provided for accounting personnel；
（2.2）According to rule, processing stoichiometric point numbers the identical but different abnormal data of meter asset number, generates abnormal accuse
It is alert, and marketing users and non-commercially user are distinguished, it shows current accounting state, it is preferential to provide issue handling for accounting personnel
Grade；
（2.3）According to rule, multiplying power abnormal data is handled, generates abnormality alarming, and distinguish marketing users and non-commercially user,
Display is current to calculate state, and issue handling priority is provided for accounting personnel.
（3) meter reading data abnormity diagnosis is carried out, including：
（3.1）According to rule, the positive active sharp abnormal data of processing generates abnormality alarming, and distinguish marketing users and non-city
Field user shows current accounting state, issue handling priority is provided for accounting personnel；
（3.2）According to rule, current period electricity stability bandwidth is calculated, is compared with threshold values, is more than threshold values, generates abnormality alarming, and area
Divide marketing users and non-commercially user, shows current accounting state, issue handling priority is provided for accounting personnel；
（3.3）According to rule, the quotient of current period electricity stability bandwidth and first three phase electricity stability bandwidth is calculated, then compare with threshold values, be more than
Threshold values then generates abnormality alarming, and distinguishes marketing users and non-commercially user, current accounting state is shown, to calculate personnel
Issue handling priority is provided；
（3.4）According to history meter reading electricity data, electric quantity curve figure is formed, analyses whether that there are electricity to uprush steep drop extremely, is
Accounting personnel provide auxiliary.
Above example is preferred embodiment of the present invention, is only that and makees further details of retouch to technical scheme of the present invention
It states, it is any without departing from schemes such as the replacements, change, modification of spirit of the invention, it will be within the scope of the present invention.
Claims (8)
1. a kind of special diagnostic method for becoming electricity abnormity diagnosis platform architecture, which is characterized in that include the following steps：
（1）Formulate timed task, automatically extract marketing system, metering system file data and meter reading data；
（2）Carry out file data abnormity diagnosis；
（3）Carry out meter reading data abnormity diagnosis.
2. according to the method described in claim 1, it is characterized in that, step（2）In, file data abnormity diagnosis includes：According to
Rule, processing stoichiometric point number the different abnormal data of identical but Customs Assigned Number, generate abnormality alarming, and distinguish market use
Family and non-commercially user show current accounting state, issue handling priority are provided for accounting personnel.
3. according to the method described in claim 1, it is characterized in that, step（2）In, file data abnormity diagnosis includes：According to
Rule, processing stoichiometric point number the identical but different abnormal data of meter asset number, generate abnormality alarming, and distinguish city
Field user and non-commercially user show current accounting state, issue handling priority are provided for accounting personnel.
4. according to the method described in claim 1, it is characterized in that, step（2）In, file data abnormity diagnosis includes：According to
Rule handles multiplying power abnormal data, generates abnormality alarming, and distinguish marketing users and non-commercially user, shows current calculate
State provides issue handling priority for accounting personnel.
5. according to the method described in claim 1, it is characterized in that, step（3）In, meter reading data abnormity diagnosis includes：According to
Rule, the positive active sharp abnormal data of processing, generates abnormality alarming, and distinguish marketing users and non-commercially user, display is worked as
Preceding accounting state provides issue handling priority for accounting personnel.
6. according to the method described in claim 1, it is characterized in that, step（3）In, meter reading data abnormity diagnosis includes：According to
Rule, calculate current period electricity stability bandwidth, with threshold values compare, be more than threshold values, generate abnormality alarming, and distinguish marketing users with it is non-
Marketing users show current accounting state, issue handling priority are provided for accounting personnel.
7. according to the method described in claim 1, it is characterized in that, step（3）In, meter reading data abnormity diagnosis includes：According to
Rule calculates the quotient of current period electricity stability bandwidth and first three phase electricity stability bandwidth, then is compared with threshold values, is more than threshold values, then generates different
Often alarm, and marketing users and non-commercially user are distinguished, it shows current accounting state, it is excellent to provide issue handling for accounting personnel
First grade.
8. according to the method described in claim 1, it is characterized in that, step（3）In, meter reading data abnormity diagnosis includes：According to
History meter reading electricity data forms electric quantity curve figure, analyses whether that there are electricity to uprush steep drop extremely, is provided for accounting personnel auxiliary
It helps.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946640A (en) * | 2019-04-11 | 2019-06-28 | 广东电网有限责任公司 | Special transformer terminals decompression defluidization judgment method based on metering automation system data |
| CN110084532A (en) * | 2019-05-08 | 2019-08-02 | 广东电网有限责任公司 | A kind of marketization trade user analysis monitoring method |
| CN110825724A (en) * | 2019-10-11 | 2020-02-21 | 深圳供电局有限公司 | User charging data exception interception system and method in electricity price system |
| CN112258281A (en) * | 2020-10-22 | 2021-01-22 | 国网四川省电力公司成都供电公司 | MATLAB-based electric power marketization transaction electric power fee refunding method and system |
| CN112669075A (en) * | 2020-12-30 | 2021-04-16 | 广东电网有限责任公司中山供电局 | Method for checking abnormal fluctuation of electric quantity of electricity customer |
| CN113762927A (en) * | 2021-09-07 | 2021-12-07 | 广东电网有限责任公司 | Method, system, equipment and medium for checking electricity stealing repair work order |
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| CN106022592A (en) * | 2016-05-16 | 2016-10-12 | 中国电子科技集团公司电子科学研究院 | Power consumption behavior anomaly detection and public security risk early warning method and device |
| CN107766570A (en) * | 2017-11-10 | 2018-03-06 | 广东电网有限责任公司电力科学研究院 | A kind of homologous check method of archives |
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| CN106022592A (en) * | 2016-05-16 | 2016-10-12 | 中国电子科技集团公司电子科学研究院 | Power consumption behavior anomaly detection and public security risk early warning method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946640A (en) * | 2019-04-11 | 2019-06-28 | 广东电网有限责任公司 | Special transformer terminals decompression defluidization judgment method based on metering automation system data |
| CN110084532A (en) * | 2019-05-08 | 2019-08-02 | 广东电网有限责任公司 | A kind of marketization trade user analysis monitoring method |
| CN110825724A (en) * | 2019-10-11 | 2020-02-21 | 深圳供电局有限公司 | User charging data exception interception system and method in electricity price system |
| CN110825724B (en) * | 2019-10-11 | 2023-08-08 | 深圳供电局有限公司 | System and method for intercepting user charging data abnormality in electricity price system |
| CN112258281A (en) * | 2020-10-22 | 2021-01-22 | 国网四川省电力公司成都供电公司 | MATLAB-based electric power marketization transaction electric power fee refunding method and system |
| CN112669075A (en) * | 2020-12-30 | 2021-04-16 | 广东电网有限责任公司中山供电局 | Method for checking abnormal fluctuation of electric quantity of electricity customer |
| CN112669075B (en) * | 2020-12-30 | 2022-03-29 | 广东电网有限责任公司中山供电局 | Method for checking abnormal fluctuation of electric quantity of electricity customer |
| CN113762927A (en) * | 2021-09-07 | 2021-12-07 | 广东电网有限责任公司 | Method, system, equipment and medium for checking electricity stealing repair work order |
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Application publication date: 20181012 |
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