CN113419129A - Intelligent electric energy meter reliability evaluation system based on B/S framework - Google Patents

Intelligent electric energy meter reliability evaluation system based on B/S framework Download PDF

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Publication number
CN113419129A
CN113419129A CN202110813174.XA CN202110813174A CN113419129A CN 113419129 A CN113419129 A CN 113419129A CN 202110813174 A CN202110813174 A CN 202110813174A CN 113419129 A CN113419129 A CN 113419129A
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China
Prior art keywords
intelligent electric
data
electric energy
energy meter
environment
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Pending
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CN202110813174.XA
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Chinese (zh)
Inventor
刘惠颖
曹宏宇
宫游
殷鑫
胡恒
李兴刚
梁言贺
王晓宇
康德功
文茹馨
满江雪
孙洋
田文
杨作鹏
富磊
王曦
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Power Supply Service Center Of State Grid Heilongjiang Electric Power Co ltd
State Grid Corp of China SGCC
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Power Supply Service Center Of State Grid Heilongjiang Electric Power Co ltd
State Grid Corp of China SGCC
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Application filed by Power Supply Service Center Of State Grid Heilongjiang Electric Power Co ltd, State Grid Corp of China SGCC filed Critical Power Supply Service Center Of State Grid Heilongjiang Electric Power Co ltd
Priority to CN202110813174.XA priority Critical patent/CN113419129A/en
Publication of CN113419129A publication Critical patent/CN113419129A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/003Environmental or reliability tests
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the other groups of this subclass

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

An intelligent electric energy meter reliability evaluation system based on a B/S framework belongs to the field of electric energy meter reliability evaluation. The invention aims to solve the problem that a system for evaluating the reliability of the electric energy meter is lacked in severe environment. The invention comprises an equipment layer, a data transmission layer, a data analysis layer and a display layer; the data analysis layer and the display layer form a B/S framework; the data analysis layer comprises a database server and a back-end server; the display layer comprises a browser; the device layer is used for monitoring the error and the environmental data of the intelligent ammeter and uploading the monitoring result to the data transmission layer; the data transmission layer is used for uploading the received error and environment data of the intelligent electric meter to a database server in the data analysis layer for storage; and the back-end server is used for calling the error and the environmental data of the intelligent electric meter from the database server, evaluating the error and the environmental data, and uploading the evaluation result to the browser for displaying. The invention mainly displays the evaluation result.

Description

Intelligent electric energy meter reliability evaluation system based on B/S framework
Technical Field
The invention belongs to the field of reliability evaluation of electric energy meters.
Background
The core of modern metering equipment is electronic equipment which is very sensitive to temperature, and if the ambient temperature reaches a certain degree, electronic components can be caused to fail, and finally the whole metering equipment is caused to fail or be damaged. At present, the performance evaluation of the metering equipment by national power grid companies still largely adopts laboratory verification modes, but is limited by laboratory test environments and means, part of the metering equipment is influenced by various environmental factors and emergencies when running on site, and even if the equipment qualified in laboratory detection is used, quality defects such as metering deviation or performance reduction can occur in a complex site environment. The performance, the condition and the like of the metering equipment during long-term operation on the spot still lack corresponding testing means and evaluation standards, so that weak links exist in the aspects of operation reliability and stability.
In the prior art, only the evaluation research is carried out on the aspect of the reliability of the electric energy meter metering equipment, and for the reliability of the electric energy meter metering equipment, certain defects and deficiencies exist in the comprehensive evaluation research influenced by various environmental stress parameters.
Disclosure of Invention
The invention aims to solve the problem that an electric energy meter reliability evaluation system is lacked in severe environment, and provides an intelligent electric energy meter reliability evaluation system based on a B/S framework.
The intelligent electric energy meter reliability evaluation system based on the B/S framework comprises an equipment layer, a data transmission layer, a data analysis layer and a display layer; the data analysis layer and the display layer form a B/S framework; the data analysis layer comprises a database server and a back-end server; the display layer comprises a browser;
the device layer is used for monitoring the errors of the intelligent electric meters of different manufacturers in each application environment and the environment data in the application environment, and uploading the monitoring results to the data transmission layer;
the data transmission layer is used for uploading the received errors of the intelligent electric meters of different manufacturers under each application environment and the environment data under the application environment to a database server in the data analysis layer for storage;
and the back-end server is used for calling the corresponding errors and environmental data of the intelligent electric meters of different manufacturers in each application environment from the database server, evaluating the called data to obtain comprehensive evaluation results of the intelligent electric meters of different manufacturers in all the application environments, and uploading the comprehensive evaluation results to the browser for displaying.
Preferably, the equipment layer comprises an electric energy meter detection device and an environment sensor;
the electric energy meter detection device is used for monitoring errors of the intelligent electric meters of a plurality of different manufacturers;
and the environment sensor is used for acquiring environment data of the environment where the intelligent electric meter is located.
Preferably, the number of the electric energy meter detection devices is 1 or N; n is an integer.
Preferably, the data transmission layer is implemented by an upper computer.
Preferably, the environmental data includes temperature, humidity, air pressure, salt spray and lighting information.
Preferably, the back-end server is configured to call, from the database server, errors and environment data corresponding to the smart meters of different manufacturers in each application environment, and evaluate the called data, and the implementation manner of obtaining the comprehensive evaluation results of the smart meters of different manufacturers in all application environments is as follows:
the method comprises the steps of taking errors of the intelligent electric meters under the environment data corresponding to each application environment as evaluation indexes, processing the errors of the intelligent electric meters of different manufacturers under the environment data corresponding to each application environment by adopting a gray correlation algorithm to obtain correlation values of the intelligent electric meters of different manufacturers, sequencing the correlation values of the intelligent electric meters of different manufacturers according to a sequence from small to large, and taking the sequencing result as a comprehensive evaluation result of the intelligent electric meters of different manufacturers under all the application environments.
The invention has the following beneficial effects:
the prior art mainly aims at evaluating and researching the reliability of the electric energy meter, and a complete reliability evaluation system for integrating and displaying an evaluation method, evaluation data and an evaluation result is not available. The intelligent electric energy meter reliability evaluation system based on the B/S framework is adopted to carry out evaluation information interaction, evaluation analysis and evaluation result display, and data information acquisition, uploading, storage, analysis and display are realized.
The invention establishes a set of complete electric energy meter reliability evaluation system, and the intelligent electric energy meter reliability evaluation system based on the B/S framework, wherein the evaluation system forms a set of complete system from data acquisition to data storage, from data storage to data analysis, and from data analysis to result display. The condition that the existing electric energy meter reliability evaluation system is lacked is solved.
When the method is applied specifically, the electric energy meters of corresponding manufacturers can be placed in different application environments, and the reliability of the electric energy of the manufacturers in the non-application environments can be comprehensively evaluated.
Drawings
FIG. 1 is a schematic diagram of a reliability evaluation system of an intelligent electric energy meter based on a B/S architecture.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, the embodiment is described, and the system for evaluating the reliability of the intelligent electric energy meter based on the B/S architecture in the embodiment includes an equipment layer, a data transmission layer, a data analysis layer and a display layer; the data analysis layer and the display layer form a B/S framework; the data analysis layer comprises a database server and a back-end server; the display layer comprises a browser;
the device layer is used for monitoring the errors of the intelligent electric meters of different manufacturers in each application environment and the environment data in the application environment, and uploading the monitoring results to the data transmission layer;
the data transmission layer is used for uploading the received errors of the intelligent electric meters of different manufacturers under each application environment and the environment data under the application environment to a database server in the data analysis layer for storage;
and the back-end server is used for calling the corresponding errors and environmental data of the intelligent electric meters of different manufacturers in each application environment from the database server, evaluating the called data to obtain comprehensive evaluation results of the intelligent electric meters of different manufacturers in all the application environments, and uploading the comprehensive evaluation results to the browser for displaying.
In the embodiment, a B/S (Browser/Server) architecture is adopted to realize the reliability evaluation of the electric energy meter, and a set of complete intelligent electric energy meter reliability evaluation system based on the B/S architecture is established, wherein the evaluation system forms a set of complete system from data acquisition to data storage, from data storage to data analysis, and from data analysis to result display. The condition that the existing electric energy meter reliability evaluation system is lacked is solved.
The intelligent electric energy meter reliability evaluation system based on the B/S framework is adopted to carry out evaluation information interaction, evaluation analysis and evaluation result display, and data information acquisition, uploading, storage, analysis and display are realized.
The research of the invention focuses on how to build the evaluation system and the form of evaluation result display, and the evaluation system is constructed from the aspects of hardware, system and evaluation result display.
When the method is applied specifically, the electric energy meters of corresponding manufacturers can be placed in different application environments, and the overall performance of the electric energy of the manufacturers in the non-use environments is comprehensively evaluated.
Further, the equipment layer comprises an electric energy meter detection device and an environment sensor;
the electric energy meter detection device is used for monitoring errors of the intelligent electric meters of a plurality of different manufacturers;
and the environment sensor is used for acquiring environment data of the environment where the intelligent electric meter is located.
In the preferred embodiment, a specific structure of the device layer is provided, and the device layer has a simple structure and is convenient to implement.
Furthermore, the number of the electric energy meter detection devices is 1 or N; n is an integer.
In this preferred embodiment, during specific application, every electric energy meter detection device can monitor the error of the smart electric meter of a plurality of different producers. Furthermore, the data transmission layer is realized by an upper computer.
Further, the environmental data includes temperature, humidity, air pressure, salt spray, and lighting information.
In the preferred embodiment, the environment sensor is used for collecting the temperature, humidity, air pressure, salt fog and illumination information of the environment where the electric energy meter detection device is located, so that the evaluation and analysis of the reliability of the electric energy meter in the environment are realized.
Furthermore, the back-end server is used for calling the error and the environment data corresponding to the smart meters of different manufacturers in each application environment from the database server, and evaluating the called data, and the implementation mode of obtaining the comprehensive evaluation results of the smart meters of different manufacturers in all application environments is as follows:
the method comprises the steps of taking errors of the intelligent electric meters under the environment data corresponding to each application environment as evaluation indexes, processing the errors of the intelligent electric meters of different manufacturers under the environment data corresponding to each application environment by adopting a gray correlation algorithm to obtain correlation values of the intelligent electric meters of different manufacturers, sequencing the correlation values of the intelligent electric meters of different manufacturers according to a sequence from small to large, and taking the sequencing result as a comprehensive evaluation result of the intelligent electric meters of different manufacturers under all the application environments.
In the preferred embodiment, the larger the value of the association degree of the smart meter is, the better the performance of the smart meter is proved, and the smaller the value of the association degree of the smart meter is, the worse the performance of the smart meter is proved.
The working process of the evaluation system provided by the invention comprises the following steps: the upper computer uploads the electric energy meter data detected by the electric energy meter detection device to the database server, the upper computer uploads the environment data of the environment sensor to the database server, the browser sends the interactive information of the electric energy meter reliability evaluation to the back-end server, the back-end server calls corresponding data from the database server according to the requirement, the data is analyzed and evaluated, and finally the evaluation result data are sent to the browser page to be displayed.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that features described in different dependent claims and herein may be combined in ways different from those described in the original claims. It is also to be understood that features described in connection with individual embodiments may be used in other described embodiments.

Claims (6)

1. The intelligent electric energy meter reliability evaluation system based on the B/S architecture is characterized by comprising an equipment layer, a data transmission layer, a data analysis layer and a display layer; the data analysis layer and the display layer form a B/S framework; the data analysis layer comprises a database server and a back-end server; the display layer comprises a browser;
the device layer is used for monitoring the errors of the intelligent electric meters of different manufacturers in each application environment and the environment data in the application environment, and uploading the monitoring results to the data transmission layer;
the data transmission layer is used for uploading the received errors of the intelligent electric meters of different manufacturers under each application environment and the environment data under the application environment to a database server in the data analysis layer for storage;
and the back-end server is used for calling the corresponding errors and environmental data of the intelligent electric meters of different manufacturers in each application environment from the database server, evaluating the called data to obtain comprehensive evaluation results of the intelligent electric meters of different manufacturers in all the application environments, and uploading the comprehensive evaluation results to the browser for displaying.
2. The intelligent electric energy meter reliability evaluation system based on the B/S architecture as claimed in claim 1, wherein the equipment layer comprises an electric energy meter detection device and an environment sensor;
the electric energy meter detection device is used for monitoring errors of the intelligent electric meters of a plurality of different manufacturers;
and the environment sensor is used for acquiring environment data of the environment where the intelligent electric meter is located.
3. The B/S architecture-based intelligent electric energy meter reliability evaluation system according to claim 2, wherein the number of electric energy meter detection devices is 1 or N; n is an integer.
4. The intelligent electric energy meter reliability evaluation system based on the B/S architecture as claimed in claim 1, wherein the data transmission layer is implemented by an upper computer.
5. The B/S architecture based intelligent electric energy meter reliability evaluation system according to claim 1, wherein the environmental data comprises temperature, humidity, air pressure, salt fog and illumination information.
6. The system for evaluating reliability of an intelligent electric energy meter based on a B/S framework as claimed in one of claims 1 to 5, wherein the back-end server is configured to call error and environmental data corresponding to the intelligent electric meters of different manufacturers in each application environment from the database server, and evaluate the called data, so as to obtain a comprehensive evaluation result of the intelligent electric meters of different manufacturers in all application environments in a manner that:
the method comprises the steps of taking errors of the intelligent electric meters under the environment data corresponding to each application environment as evaluation indexes, processing the errors of the intelligent electric meters of different manufacturers under the environment data corresponding to each application environment by adopting a gray correlation algorithm to obtain correlation values of the intelligent electric meters of different manufacturers, sequencing the correlation values of the intelligent electric meters of different manufacturers according to a sequence from small to large, and taking the sequencing result as a comprehensive evaluation result of the intelligent electric meters of different manufacturers under all the application environments.
CN202110813174.XA 2021-07-19 2021-07-19 Intelligent electric energy meter reliability evaluation system based on B/S framework Pending CN113419129A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101144854A (en) * 2007-08-10 2008-03-19 陕西银兴电力电子科技有限公司 Electrical energy metering automatic verification integrative management platform system
CN102928809A (en) * 2012-10-29 2013-02-13 江苏省电力公司常州供电公司 Electric energy metering device remote monitoring diagnostic system and working method thereof
CN110019098A (en) * 2017-12-30 2019-07-16 广州明领基因科技有限公司 Electrical energy measurement big data analysis system based on Hadoop frame
CN110531303A (en) * 2019-07-30 2019-12-03 南瑞集团有限公司 In fortune intelligent electric energy meter batch fault early warning method and its system
CN110852615A (en) * 2019-11-11 2020-02-28 黑龙江省电工仪器仪表工程技术研究中心有限公司 Comprehensive reliability evaluation model for intelligent electric energy meter in typical environment
CN111914969A (en) * 2020-08-12 2020-11-10 国网黑龙江省电力有限公司供电服务中心 Electric energy meter test management service system
CN111950165A (en) * 2020-08-25 2020-11-17 北京合众伟奇科技有限公司 Electric energy meter reliability analysis method under typical environment

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101144854A (en) * 2007-08-10 2008-03-19 陕西银兴电力电子科技有限公司 Electrical energy metering automatic verification integrative management platform system
CN102928809A (en) * 2012-10-29 2013-02-13 江苏省电力公司常州供电公司 Electric energy metering device remote monitoring diagnostic system and working method thereof
CN110019098A (en) * 2017-12-30 2019-07-16 广州明领基因科技有限公司 Electrical energy measurement big data analysis system based on Hadoop frame
CN110531303A (en) * 2019-07-30 2019-12-03 南瑞集团有限公司 In fortune intelligent electric energy meter batch fault early warning method and its system
CN110852615A (en) * 2019-11-11 2020-02-28 黑龙江省电工仪器仪表工程技术研究中心有限公司 Comprehensive reliability evaluation model for intelligent electric energy meter in typical environment
CN111914969A (en) * 2020-08-12 2020-11-10 国网黑龙江省电力有限公司供电服务中心 Electric energy meter test management service system
CN111950165A (en) * 2020-08-25 2020-11-17 北京合众伟奇科技有限公司 Electric energy meter reliability analysis method under typical environment

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Application publication date: 20210921