CN110598901B - Electric energy meter correction management system - Google Patents
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Abstract
The invention relates to a correction management system of an electric energy meter, which comprises: the application receiving module is used for receiving the user application and correction information provided by the marketing terminal; the verification supervision module is used for establishing or updating the user application file according to the user information and establishing a verification work order; the application matching module is used for recording the working information of the check workers in real time and matching the check work orders with the check workers according to the working information and the check information of the electric energy meter user; the result auditing module is used for judging whether the verification result of the electric energy meter to be tested is qualified or not and returning the judgment result to the marketing end; shen Jiao prediction module is used for predicting future electric energy meter and correcting prediction data. Compared with the prior art, the invention has the advantages of and the like.
Description
Technical Field
The invention relates to the field of Shen Jiaofu service of electric energy meters, in particular to a correction management system of an electric energy meter.
Background
The intelligent ammeter comprises a measuring unit, a data processing unit and a communication unit, is an ammeter with the functions of electric energy metering, electric energy data information processing, real-time monitoring, automatic control, information interaction and the like, and is currently the main user electric energy metering ammeter equipment. With the rapid development of smart power grids in recent years, the rapid progress of smart technology and the proposal of the objective of building smart power grids in China, customer service is becoming the research focus of the national power grids, and power customers are the service subjects of power grid enterprises, so that the demands of customers on smart electric meters are greatly increased due to the dependence on electric energy. The development of intelligent technology and the increasing demand for electricity have led to a gradual change in the concept of power services for power customers, especially in terms of electricity metering.
In recent years, the right-of-right awareness and legal awareness of users are continuously improved, more and more electricity consumers are objectively provided for the accuracy of electric energy meters which are responsible for metering tasks and related to benefits of both electricity supply and consumption, meanwhile, due to the fact that a traditional electric meter is converted into an intelligent electric energy meter, electricity consumption data are obviously higher than those of the traditional electric meter in a more accurate metering mode, the electric quantity is metered, the users are doubtful and dissatisfied to the electric meter, and customer satisfaction is seriously affected. On the other hand, the popularization and the updating of the intelligent electric meter have been carried out for many years, and part of the electric meters are close to the end of life and are easy to fail, so that the electricity utilization experience of users is affected, and the future correction number is increased. The current state network company electric energy meter applied calibration quantity is rapidly increased, variation and difference of applied calibration quantity in each area and different time periods of a city are large, the input force of electric energy meter service is difficult to adjust in time, meanwhile, the current metering applied calibration management system lacks a customer service means, the applied calibration efficiency is low, and along with development of big data age and improvement of high-quality metering service, the electric energy meter service urgently needs a complete system to conduct flow optimization.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an electric energy meter calibrating and managing system.
The aim of the invention can be achieved by the following technical scheme:
an electric energy meter application management system comprising:
the application receiving module is used for receiving the electric energy meter user verification information provided by the marketing end, wherein the information comprises user portrait information and electric energy meter performance to be tested;
the verification supervision module is used for establishing or updating the user application file according to the user information and establishing a verification work order, wherein the verification work order is used for recording the verification information and the verification progress in real time;
the application matching module is used for recording the working information of the check workers in real time, and matching the check work orders with the check workers according to the check difficulty and the responsible area based on the working information and the check information;
the result auditing module is used for judging whether the verification result of the electric energy meter to be tested is qualified or not and returning the judgment result to the marketing end;
shen Jiao prediction module is used for predicting future electric energy meter calibration prediction data, and adjusting the responsible areas of the calibration workers according to the prediction data, wherein the future electric energy meter calibration prediction data comprises future calibration amounts of all divided areas in the place, future electric energy meter calibration amounts of the place in the month and future electricity consumption of the place.
Further, the user portrayal information includes user identity information and historical redaction information.
Further, grading is carried out on the check workers according to the work ages and the work achievements, and the work information of the check workers comprises the grades of the check workers, the responsible areas and the real-time work task amount.
Further, the declaration and correction information recorded by the declaration and correction work order comprises a declaration and correction order number, a verification mode and a verification result.
Further, the method is used for calling the declaration and correction work order according to the Shen Jiao order number.
Further, the verification mode comprises an outdoor mode and a laboratory mode, the verification mode is selected according to the performance of the electric energy meter to be tested, if the performance of the electric energy meter to be tested is common, a verification result is directly obtained outdoors, otherwise, the electric energy meter to be tested is disassembled and is brought back to the laboratory to be verified.
Further, the Shen Jiao prediction module predicts future electric energy meter application prediction data based on historical electric energy meter application history data through a prediction algorithm, wherein the historical electric energy meter application history data comprises historical annual electric energy meter application correction amounts of all divided areas in the place, local monthly historical electric energy meter application correction amounts, local historical meteorological data and local historical electricity consumption.
Further, the future annual energy meter calibration quantity and the local monthly future energy meter calibration quantity of each divided area in the place are respectively obtained based on the historical annual energy meter calibration quantity and the local monthly historical energy meter calibration quantity of each divided area in the place, and the local future electricity consumption is obtained according to the local historical meteorological data and the local historical electricity consumption.
Further, a time sequence trend decomposition method is adopted by a prediction algorithm adopted by obtaining future annual electric energy meter calibration quantity of each divided area in the place and future electric energy meter calibration quantity of each month in the place, and specifically comprises the following steps:
the time sequence consisting of the correction quantity and time is decomposed into a trend component, a periodic component and a random component, the trend component is predicted through an ARIMA model, the periodic component is predicted according to the principle of near-far-small by adopting a weighting method based on the similar components in the history synchronization, the random component is predicted by adopting the average value of the similar components in the history synchronization, and finally the prediction results of the trend component, the periodic component and the random component are restored into the prediction correction quantity by adopting a multiplication model.
The future electricity consumption of the place is obtained according to the historical meteorological data of the place and the historical electricity consumption of the place, and specifically comprises the following steps:
and calculating local historical meteorological data by using a time sequence convolution network, predicting local future meteorological data, and predicting the local future electric consumption by using a cyclic neural network based on the local future meteorological data and the local historical electric consumption.
And performing task allocation of the verification workers according to the predicted future electric energy meter verification prediction data, wherein the task allocation comprises areas which are in charge of each verification worker.
Compared with the prior art, the invention has the following beneficial effects:
(1) According to the invention, by establishing the electric energy meter correction management system, according to the electric energy meter user information and the electric energy meter performance, the calibration workers carry out grading and area allocation on the working capacity, and by utilizing the application matching module, the calibration workers and the correction application work orders are matched according to the correction application difficulty and the responsible area, so that the human resources are fully and reasonably utilized;
(2) The invention records the correction applying progress in real time through the correction applying work order, is convenient to inquire, improves the correction applying efficiency, and establishes and supplements files according to the image information of the user, wherein the files are used as the data of the application of the user for correction applying, thereby improving the efficiency and the accuracy of the correction applying;
(3) According to the invention, the correction prediction module predicts the correction prediction data of various future electric energy meters based on the correction history data of the local electric energy meters, synthesizes various prediction data, accurately and timely makes manpower allocation to the check workers, improves Shen Jiaofu business efficiency, and realizes effective allocation of resources.
Drawings
FIG. 1 is a process flow diagram of an electric energy meter Shen Jiaoguan;
FIG. 2 is a schematic diagram of a declaration prediction process.
Detailed Description
The invention will now be described in detail with reference to the drawings and specific examples. The present embodiment is implemented on the premise of the technical scheme of the present invention, and a detailed implementation manner and a specific operation process are given, but the protection scope of the present invention is not limited to the following examples.
The utility model provides an electric energy meter is applied to school management system, includes application receiving module, check supervision module, application matching module, result audit module and Shen Jiao prediction module, and wherein, application receiving module is used for receiving the user who applies for the user and is applied to school information that marketing end provided, and this information includes user portrait information and waiting to test electric energy meter performance, and user portrait information includes user identity information and history and is applied to school information; the verification supervision module is used for establishing or updating the user application file according to the user information and establishing a verification work order, wherein the verification work order is used for recording the verification information and the verification progress in real time; the application matching module is used for recording the working information of the check workers in real time, and matching the check work orders with the check workers according to the check difficulty and the responsible area based on the working information and the check information; the result auditing module is used for judging whether the verification result of the electric energy meter to be tested is qualified or not, returning the judgment result to the marketing end, receiving the judgment result by the marketing end, if the electric energy meter is qualified, not returning the user commission, otherwise, returning the commission to the correction application user; the Shen Jiao prediction module is used for predicting future electric energy meter calibration prediction data, and adjusting the responsible area of the calibration workers according to the prediction data, wherein the future electric energy meter calibration prediction data comprises future calibration quantities of various divided areas in the place, future electric energy meter calibration quantities of the place in the month and future electricity consumption of the place.
As shown in fig. 1, the electric energy meter verification management system receives user verification information from a marketing end, matches a verification work order with a verification worker according to the verification difficulty and a responsible area, determines a verification mode, wherein the verification mode comprises an outdoor mode and a laboratory mode, and selects the verification mode according to the performance of the electric energy meter to be verified, if the performance of the electric energy meter to be verified belongs to common performance, a verification result is directly obtained on site, otherwise, the electric energy meter to be verified is disassembled and brought back to the laboratory for verification; and returning the test result to the marketing end, wherein the test result judges whether the electric energy meter in the application check is qualified or not, the marketing end does not return the application fee of the user in the application check of the electric energy meter, and otherwise, returns the application fee of the user.
And grading the check workers according to the working ages and the working achievements, wherein the working information of the check workers comprises the grade of the check workers, the responsible area and the real-time working task amount.
And the applied and calibrated information recorded by the applied and calibrated work order comprises applied and calibrated work order numbers, verification modes and verification results. And according to the Shen Jiao list number, the declaration and school work list is called.
The application receiving module receives user checking information provided by the marketing end and establishes a checking work order, the checking work order records checking user information and checking progress in real time, and the application matching module performs matching of the checking work order and the checking workers according to the checking user information and the working information of the checking workers.
As shown in fig. 2, the Shen Jiao prediction module predicts future electric energy meter application prediction data based on historical electric energy meter application history data through a prediction algorithm, wherein the historical electric energy meter application history data comprises historical annual electric energy meter application correction amounts of various divided areas in the place, historical electric energy meter application correction amounts of the place and month, historical meteorological data of the place and historical electricity consumption of the place.
The future annual energy meter calibration quantity and the regional monthly future energy meter calibration quantity of each divided region in the place are respectively obtained based on the regional historical annual energy meter calibration quantity and the regional monthly historical energy meter calibration quantity in the place, and the regional future electricity consumption is obtained according to the regional historical meteorological data and the regional historical electricity consumption.
And performing task allocation of the calibration workers according to the predicted future electric energy meter calibration prediction data, wherein the task allocation comprises areas which are in charge of each calibration worker.
According to the embodiment, the optimization of the management flow of the electric energy meter Shen Jiaoguan is realized through the electric energy meter correction management system, human resources are fully and reasonably utilized, and the correction efficiency and accuracy are improved.
The foregoing describes in detail preferred embodiments of the present invention. It should be understood that numerous modifications and variations can be made in accordance with the concepts of the invention by one of ordinary skill in the art without undue burden. Therefore, all technical solutions which can be obtained by logic analysis, reasoning or limited experiments based on the prior art by the person skilled in the art according to the inventive concept shall be within the scope of protection defined by the claims.
Claims (3)
1. An electric energy meter application management system, comprising:
the application receiving module is used for receiving user application and correction information provided by the marketing terminal, wherein the information comprises user portrait information and performance of the electric energy meter to be tested;
the verification supervision module is used for establishing or updating the user application file according to the user information and establishing a verification work order, wherein the verification work order is used for recording the verification information and the verification progress in real time;
the application matching module is used for recording the working information of the check workers in real time, and matching the check work orders with the check workers according to the check difficulty and the responsible area based on the working information and the check information;
the result auditing module is used for judging whether the verification result of the electric energy meter to be tested is qualified or not and returning the judgment result to the marketing end;
shen Jiao prediction module for predicting future electric energy meter calibration prediction data, and adjusting the responsible area of the calibration workers according to the prediction data, wherein the future electric energy meter calibration prediction data comprises future calibration amounts of all divided areas in the place, future electric energy meter calibration amounts in the place per month and future electricity consumption in the place;
grading the check workers according to the work ages and the work achievements, wherein the work information of the check workers comprises the grade of the check workers, the responsible area and the real-time work task amount;
the Shen Jiao prediction module predicts future electric energy meter application prediction data based on historical electric energy meter application history data through a prediction algorithm, wherein the historical electric energy meter application history data comprises historical annual electric energy meter application correction amounts of all divided areas in the place, historical electric energy meter application correction amounts of the place and month, local historical meteorological data and local historical electricity consumption;
the future annual energy meter calibrating quantity and the regional monthly future energy meter calibrating quantity of each divided region in the place are respectively obtained based on the regional historical annual energy meter calibrating quantity and the regional monthly historical energy meter calibrating quantity in the place, and the regional future electricity consumption is obtained according to the regional historical meteorological data and the regional historical electricity consumption;
the prediction algorithm adopted for obtaining the future annual energy meter applied correction quantity of each divided area in the place and the future electric energy meter applied correction quantity of the place per month is a time sequence trend decomposition method, and specifically comprises the following steps:
decomposing a time sequence consisting of the correction quantity and time into a trend component, a periodic component and a random component, predicting the trend component through an ARIMA model, predicting the periodic component according to a principle of near-far-small by adopting a weighting method based on the similar components in the history synchronization, predicting the random component by adopting an average value of the similar components in the history synchronization, and finally reducing the prediction results of the trend component, the periodic component and the random component into the prediction correction quantity by adopting a multiplication model;
the future electricity consumption of the place is obtained according to the historical meteorological data of the place and the historical electricity consumption of the place, and specifically comprises the following steps:
calculating local historical meteorological data by using a time sequence convolution network, predicting local future meteorological data, and predicting the local future electric consumption by using a cyclic neural network based on the local future meteorological data and the local historical electric consumption;
the verification information recorded by the verification work order comprises a verification work order number, verification modes and verification results, wherein the verification modes comprise outdoor and laboratory verification modes are selected according to the performance of the electric energy meter to be tested.
2. The system of claim 1, wherein the user profile information includes user identity information and historical verification information.
3. The system of claim 1, wherein the list Shen Jiao is used to call a list of electric energy meters.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060035189A (en) * | 2004-10-21 | 2006-04-26 | 엘에스산전 주식회사 | Electronic energy meter with verification of integrated energy for tariffs |
| CN101364291A (en) * | 2008-07-17 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Method of calibrating data accuracy, device and labour hour data verification system |
| CN106355298A (en) * | 2016-10-13 | 2017-01-25 | 哈尔滨电工仪表研究所 | Intelligent watt-hour meter reliability prediction cloud service platform |
| CN106908753A (en) * | 2017-03-28 | 2017-06-30 | 云南电网有限责任公司大理供电局 | A kind of Watt-hour meter's field test device and safe data cloud storage system based on the Internet transmission data |
| CN107422293A (en) * | 2017-04-27 | 2017-12-01 | 国网上海市电力公司 | A kind of electric energy meter field intellectuality verification system and method |
| CN108229747A (en) * | 2018-01-12 | 2018-06-29 | 中国计量科学研究院 | Adjustment controlling means, device and time signal generation system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2096416B1 (en) * | 2008-02-28 | 2016-09-28 | Alcatel Lucent | Management platform and associated method for managing smart meters |
-
2019
- 2019-07-31 CN CN201910704892.6A patent/CN110598901B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060035189A (en) * | 2004-10-21 | 2006-04-26 | 엘에스산전 주식회사 | Electronic energy meter with verification of integrated energy for tariffs |
| CN101364291A (en) * | 2008-07-17 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Method of calibrating data accuracy, device and labour hour data verification system |
| CN106355298A (en) * | 2016-10-13 | 2017-01-25 | 哈尔滨电工仪表研究所 | Intelligent watt-hour meter reliability prediction cloud service platform |
| CN106908753A (en) * | 2017-03-28 | 2017-06-30 | 云南电网有限责任公司大理供电局 | A kind of Watt-hour meter's field test device and safe data cloud storage system based on the Internet transmission data |
| CN107422293A (en) * | 2017-04-27 | 2017-12-01 | 国网上海市电力公司 | A kind of electric energy meter field intellectuality verification system and method |
| CN108229747A (en) * | 2018-01-12 | 2018-06-29 | 中国计量科学研究院 | Adjustment controlling means, device and time signal generation system |
Non-Patent Citations (5)
| Title |
|---|
| "智能电能表校表和误差分析";邹玲等;《湖北工业大学学报》;全文 * |
| PDA在电能表现场校验管理系统中的应用;王华文等;《中国计量》;20100910(第09期);全文 * |
| 基于PDA和GPRS技术的电能表智能校验管理系统;盛立峰等;《华东电力》;20060124(第01期);第24-25页 * |
| 提高用户班的电能表月校验量;方绍怀;《科技经济市场》;20111015(第10期);全文 * |
| 浅谈如何做好客户临时申验电能表的实验室检验工作;陈惠玉;《科技创新与应用》;20131128(第33期);全文 * |
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