CN111597227B - Electric power automation cloud detection platform and monitoring method based on big data platform technology - Google Patents
Electric power automation cloud detection platform and monitoring method based on big data platform technology Download PDFInfo
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Abstract
The invention discloses an electric power automation cloud detection platform and a detection method based on a big data platform technology, wherein the detection platform comprises a detection data warehouse module, a detection analysis application module, an artificial intelligence recognition module and a cloud detection system; the detection method acquires the detected equipment and system in different places through a system client and is simultaneously interconnected with the device or the system; transmitting the processed related information to a cloud detection platform, wherein the cloud detection platform utilizes a big data analysis engine; performing performance detection, function detection, protocol detection and appearance detection on the acquired data through data integration and management, and displaying the result; the cloud platform is used for establishing a detection service with a client at a different place, after the detected information of the client is collected, the big data technology is used for analyzing and sorting the detected data, the cloud detection technology is used for providing a detection result for the analyzed and sorted data, so that the local detection can be realized without leaving the home of the user, and the cost of manpower and material resources is greatly saved.
Description
Technical Field
The invention belongs to the technical field of automatic detection of intelligent substations, and particularly relates to an electric power automatic cloud detection platform and a monitoring method based on a big data platform technology.
Background
At present, the electric power automation cloud detection platform and method based on the big data platform technology can provide basic functions, communication protocols, communication interface standardization and device panel standardization tests and evaluations of a system and a device for a detection client; the cloud computing technology is used for meeting the requirements of selection of detection devices and system types, device type selection and extraction work of a detection standard sample library, and the big data technology pattern recognition technology is used for realizing the device panel standardization detection technology. The existing aspects of intelligent power grid planning, scientific and technological research and development, equipment attack and customs and engineering construction and the like still have some defects, for example, related matching policies and technical standards are lacked, and intelligent electronic equipment of various manufacturers are incompatible with each other, so that the popularization of the intelligent power grid is hindered. The invention with the patent number of ZL201110124498.9 and the name of IEC 61850 standard-based substation communication network and system testing method discloses a substation automation system testing method, but the testing method can only carry out field communication network testing on a substation automation system, and can not carry out remote testing on substation automation equipment and a system, and if a substation runs in regions with severe environments, such as severe cold, high temperature, high humidity and the like, the field communication testing of the substation automation system by engineering technicians is inconvenient, the testing result is poor, the severe running environment of the substation even causes unnecessary damage to the engineering technicians, and unnecessary waste of manpower and material resources is caused.
Disclosure of Invention
The invention provides an electric power automation cloud detection platform and a monitoring method based on a big data platform technology, and aims to solve the problems that related matching policies and technical standards are lacked, intelligent electronic equipment of various manufacturers are incompatible with each other, popularization of an intelligent power grid is hindered, field communication network testing can only be performed on a substation automation system, the substation automation equipment and the system cannot be tested in different places, and if a substation runs in high-cold, high-temperature, high-humidity and other regions with severe environments, field communication testing of engineering technicians on the substation automation system is inconvenient, testing results are poor, the severe operating environments of the substation even cause unnecessary injuries to the engineering technicians, manpower and material resources are unnecessarily wasted and the like in the prior art.
The invention discloses an electric power automation cloud detection platform based on a big data platform technology, which comprises a detection data warehouse module, a detection analysis application module, an artificial intelligence recognition module and a cloud detection system; the detection data warehouse module provides detection data calling support for an online detection system at the background, stores detection types of various devices and systems, stores functional performance indexes, stores detection cases, reads model parameter standards and stores communication protocol standard cases; the detection analysis application module performs correlation analysis through correct data, error data, non-conforming items, basic functions and basic performance generated in the test, performs auxiliary decision making, and delivers the analyzed data to the server end of the online detection system for processing by using a data mining technology; the artificial intelligence recognition module completes standard recognition of a device panel and a system icon and recognition of acousto-optic performance and functions through technical means of voice recognition, graph recognition, calling of a detection data warehouse and intelligent search; the cloud detection system is a software system with a B/S structure, and the software system is a bearing system of an electric power automation cloud detection platform based on a big data platform technology and provides a human-computer exchange interface for detection clients and detection station workers; the detection data warehouse module transmits the stored detection data to the detection analysis application module, the detection analysis application module transmits the analyzed data to a server end of the online detection system for processing, and the artificial intelligence identification module performs identification and the human-computer exchange interface of the software system displays and outputs.
In the above solution, it is preferable that the client of the cloud detection system is installed on a mobile terminal of a user.
It is also preferable that the client provides a human-machine interface to provide a friendly interface for the detection user and perform test guidance.
It may also be preferred that the server side of the cloud detection system is installed on a remote server.
It is also preferable that the server provides a friendly interface for the staff of the detection station to control the detection process and provide a function of printing the detection report.
The invention discloses a detection method of an electric power automation cloud detection platform based on big data platform technology in another aspect, which comprises the following steps,
firstly, acquiring detected equipment and a detected system in different places through a system client, and simultaneously interconnecting the detected equipment and the detected system with a device or the detected system; the stored detection data are transmitted to the detection analysis application module through the detection data warehouse module, and the analyzed data are transmitted to a server side of the online detection system for processing through the detection analysis application module;
secondly, transmitting the processed related information to a cloud detection platform, and utilizing a big data analysis engine through the cloud detection platform;
and thirdly, performing performance detection, function detection, protocol detection and appearance detection on the acquired data through the artificial intelligence identification module through data integration and management, and displaying results through the man-machine exchange interface of the software system with the B/S structure.
In the above scheme, preferably, when the system client acquires the detected device and system in different places, the detected device and system is a measurement and control device, a PMU, a gateway machine, an RTU, a protection and measurement device, a DTU, an auxiliary control system or a monitoring system.
It is also preferable that the system client acquires the parameters, functions and performance information of the detected device and system in different places.
Preferably, the collected data is subjected to performance detection, function detection, protocol detection and appearance detection through data integration and management, and the result is used for detection judgment, product identification, scientific research, power grid operation analysis and auxiliary decision making.
The invention has the beneficial effects that:
according to the electric power automation cloud detection platform and the monitoring method based on the big data platform technology, the electric power automation cloud detection platform is beneficial to popularization of an intelligent power grid, can be used for carrying out field communication network test on a transformer substation automation system, and can be used for carrying out remote test on transformer substation automation equipment and the system, so that the electric power automation cloud detection platform is suitable for the conditions of operation of the transformer substation in severe high-cold, high-temperature, high-humidity and other areas, the test result is accurate, unnecessary damage to engineering technicians caused by the severe operation environment of the transformer substation is avoided, and unnecessary waste caused by manpower and material resources is avoided; the monitoring method comprises the steps that detected equipment and a detected system are acquired in different places through a system client, namely, a detection service is established with a client in different places through a cloud platform; after the detected information of the client is collected, analyzing and sorting the detected data by utilizing a big data technology and a cloud platform technology; the stored detection data are transmitted to the detection analysis application module through the detection data warehouse module, and the analyzed data are transmitted to a server side of the online detection system for processing through the detection analysis application module; transmitting the processed related information to a cloud detection platform, and utilizing a big data analysis engine through the cloud detection platform; and the detection result is given, so that the localization detection can be realized without leaving the home, and the manpower and material resource cost is greatly saved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a structural block diagram of an electric power automation cloud detection platform based on a big data platform technology.
Fig. 2 is a flowchart of a detection method of the power automation cloud detection platform based on the big data platform technology.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
Example 1
An electric power automation cloud detection platform based on big data platform technology, referring to fig. 1, comprises a detection data warehouse module, a detection analysis application module, an artificial intelligence recognition module and a cloud detection system; the detection data warehouse module provides detection data calling support for an online detection system at the background, stores detection types of various devices and systems, stores functional performance indexes, stores detection cases, reads model parameter standards and stores communication protocol standard cases; the detection analysis application module performs correlation analysis through correct data, error data, non-conforming items, basic functions and basic performance generated in the test, performs auxiliary decision making, and delivers the analyzed data to the server end of the online detection system for processing by using a data mining technology; the artificial intelligence recognition module completes standard recognition of a device panel and a system icon and recognition of acousto-optic performance and functions through technical means of voice recognition, graph recognition, calling of a detection data warehouse and intelligent search; the cloud detection system is a software system with a B/S structure, and the software system is a bearing system of an electric power automation cloud detection platform based on a big data platform technology and provides a human-computer exchange interface for detection clients and detection station workers; the detection data warehouse module transmits the stored detection data to the detection analysis application module, the detection analysis application module transmits the analyzed data to a server end of the online detection system for processing, and the artificial intelligence identification module performs identification and the human-computer exchange interface of the software system displays and outputs.
According to the electric power automation cloud detection platform based on the big data platform technology, a user can know the flow, basis and steps of protocol detection through the electric power automation cloud detection platform based on the big data platform technology, the user can not go home and can configure the testing steps according to the detection function required by the product, the product is tested and evaluated, and the product is eliminated according to the testing and evaluating results given by the electric power automation cloud detection platform based on the big data platform technology and the electric power automation cloud detection method based on the big data platform technology. The power automation cloud detection platform and method based on the big data platform provide a grading test mode; the system can meet various requirements of product remote detection, field detection and scientific research product evaluation.
The electric power automation cloud detection platform based on the big data platform technology of this embodiment may further specifically be that a client of the cloud detection system is installed on a mobile terminal of a user. The client provides a human-computer interface for providing a friendly interface for a detection user and performing test guidance. And the server end of the cloud detection system is installed on a remote server. The server side provides a friendly interface for detection station workers to control the detection process and provide a function of printing a detection report.
Example 2
The monitoring method of the power automation cloud detection platform based on the big data platform technology in embodiment 1, referring to fig. 1 and 2, includes the following steps,
firstly, acquiring detected equipment and a detected system in different places through a system client, and simultaneously interconnecting the detected equipment and the detected system with a device or the detected system; the stored detection data are transmitted to the detection analysis application module through the detection data warehouse module, and the analyzed data are transmitted to a server side of the online detection system for processing through the detection analysis application module;
secondly, transmitting the processed related information to a cloud detection platform, and utilizing a big data analysis engine through the cloud detection platform;
and thirdly, performing performance detection, function detection, protocol detection and appearance detection on the acquired data through the artificial intelligence identification module through data integration and management, and displaying results through the man-machine exchange interface of the software system with the B/S structure.
The detection method of the power automation cloud detection platform based on the big data platform technology in this embodiment may further include that when the system client acquires the detected device and system in different places, the detected device and system is a measurement and control device, a PMU, a network shutdown machine, an RTU, a measurement and protection device, a DTU, an auxiliary control system or a monitoring system. The system client acquires the parameters, functions and performance information of the detected equipment and the system in different places. Through data integration and management, after performance detection, function detection, protocol detection and appearance detection are carried out on the collected data, the result is used for detection judgment, product identification, scientific research, power grid operation analysis and auxiliary decision making.
Example 3
A detection method of an electric power automation cloud detection platform based on big data platform technology is disclosed, referring to FIG. 2, comprising the following steps,
the method comprises the steps that parameters, functions and performance information of a tested device and a tested system, such as a measurement and control device, a PMU (phasor measurement Unit), a network shutdown machine, an RTU (remote terminal unit), a security and measurement device, a DTU (data transfer Unit), an auxiliary control system and a monitoring system, are collected in different places through a system client, and are simultaneously interconnected with the device or the system, processed related information is transmitted to a cloud detection platform, the cloud detection platform performs performance detection, function detection, protocol detection and appearance detection on collected data through data integration and management by using a big data analysis engine, and results are displayed in the forms of functional data, qualified items, unqualified items, performance data and the like after detection, and the results can be used for detection judgment, product identification, scientific research, power grid operation analysis and auxiliary decision making. And then carrying out self-service test, wherein the on-line guidance can be finished through a remote manual assistance mode of the detection station or can be finished through the on-line system mode guidance.
The client and the server of the electric power automation cloud detection platform based on big data platform technology are in information intercommunication through the internet, and the online test system of the client comprises: the system comprises a client detection module and a remote assistance module connected with the client detection module; the server side is provided with a server side data processing module. Wherein:
and the client detection module background provides detection function support for the online detection system, stores the detection result data of the client and is responsible for transmitting the detection result data back to the server. The user can download the software to the local PC through the network, and the Client detection module is responsible for providing the functions of the Client end software and the Server end software for simulating protocol detection.
The data processing module at the server end provides data processing support for the online detection system at the server background, the data returned by the detection module at the client end is analyzed and processed by a big data analysis engine, then the data is sent to the server end of the online detection system for processing, and the server end outputs a detection report.
The remote assistance module is used for guiding a detection process of a user which is installed at a client and is in charge of assisting the user, and assisting the user to better test;
a software system with a B/S structure is used as a bearing system of an electric power automation cloud detection platform based on a big data platform technology to provide a human-computer exchange interface for detection clients and detection station workers. The client-side online detection system is installed at a mobile end of a user, and the server-side online detection system is installed on a far-end server; the client-side online detection system provides a human-computer interface to provide a friendly interface for a detection user and performs test guidance; the server-side online detection system provides a friendly interface for detection station workers to control the detection process and can provide a function of printing a detection report.
The detection method of the electric power automation cloud detection platform based on the big data platform technology of the embodiment provides the electric power automation cloud detection platform and the method based on the big data platform technology, and can provide detection of functions and performances of a remote measurement and control device, a PMU, a network shutdown machine, an RTU, a protection and test device, a DTU, an auxiliary control system and a monitoring system for customers. The system has strong reliability and good safety, and can provide automatic equipment and system remote test and evaluation for different detection clients; different users can know the flow, basis and steps of protocol detection through remote pretesting and self-evaluation, and simultaneously configure the testing steps according to the detection functions required by the products, perform pretesting and self-evaluation on the products, and improve the products according to the pretesting and self-evaluation results given by the detection platform; the method has the characteristics of cost saving and good test effect.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, those skilled in the art can make modifications and equivalents to the embodiments of the present invention without departing from the spirit and scope of the present invention, which is set forth in the claims of the present application.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (7)
1. An electric power automation cloud detection platform based on big data platform technology comprises a detection data warehouse module, a detection analysis application module, an artificial intelligence recognition module and a cloud detection system; it is characterized in that the preparation method is characterized in that,
the detection data warehouse module provides detection data calling support for an online detection system at the background, stores detection types of various devices and systems, stores functional performance indexes, stores detection cases, reads model parameter standards and stores communication protocol standard cases;
the detection analysis application module performs correlation analysis through correct data, error data, non-conforming items, basic functions and basic performance generated in the test, performs auxiliary decision making, and delivers the analyzed data to a server side of the online detection system for processing by using a data mining technology;
the artificial intelligence recognition module completes standard recognition of a device panel and a system icon and recognition of acousto-optic performance and functions through technical means of voice recognition, graph recognition, calling of a detection data warehouse and intelligent search;
the cloud detection system is a software system with a B/S structure, the software system is a bearing system of an electric power automation cloud detection platform based on a big data platform technology, and a human-computer exchange interface is provided for detection clients and detection station workers;
the detection data warehouse module transmits stored detection data to the detection analysis application module, the detection analysis application module transmits the analyzed data to a server end of the online detection system for processing, then transmits processed related information to a cloud detection platform, the cloud detection platform utilizes a big data analysis engine to perform performance detection, function detection, protocol detection and appearance detection through the artificial intelligent identification module through data integration and management, then provides a detection result, displays and outputs the detection result through the man-machine exchange interface of the software system with a B/S structure, and uses the result in detection judgment, product identification, scientific research, power grid operation analysis and auxiliary decision making;
the field communication network test can be carried out on the substation automation system, and meanwhile, the remote test of the substation automation equipment and the system can be carried out;
the client of the cloud detection system is installed on a mobile terminal of a user; the online test system of the client comprises: the system comprises a client detection module and a remote assistance module connected with the client detection module; providing detection function support for an online detection system through a client detection module background, storing detection result data of a client, and being responsible for transmitting the detection result data back to a server; the Client detection module is responsible for providing the functions of Client end and Server end software for simulating protocol detection;
the detected equipment and system are acquired in different places through the client and are simultaneously interconnected with the device or the system; when the client acquires the detected equipment and system in different places, the detected equipment and system is a measurement and control device, a PMU (phasor measurement Unit), a network shutdown machine, an RTU (remote terminal Unit), a protection and measurement device, a DTU (data terminal Unit), an auxiliary control system or a monitoring system; the client acquires parameters, functions and performance information of the detected equipment and system in different places;
the cloud detection system comprises a client, a server, a remote server, a client data processing module, a server data processing module and a cloud detection module, wherein the server of the cloud detection system is installed on the remote server;
the data processing module at the server end provides data processing support for the online detection system at the server background, the data returned by the detection module at the client end is analyzed and processed by a big data analysis engine, then the data is sent to the server end of the online detection system for processing, and the server end outputs a detection report.
2. The big data platform technology-based power automation cloud detection platform as claimed in claim 1, wherein the client provides a human-machine interface to provide a friendly interface for detection users and perform test guidance.
3. The electric power automation cloud detection platform based on big data platform technology as claimed in claim 1, wherein the server side provides a friendly interface for detection station workers to control the detection process and provide a function of printing detection report.
4. The detection method of the power automation cloud detection platform based on the big data platform technology is characterized by comprising the following steps,
firstly, acquiring detected equipment and a detected system in different places through a system client, and simultaneously interconnecting the detected equipment and the detected system with a device or the detected system; the stored detection data are transmitted to the detection analysis application module through the detection data warehouse module, and the analyzed data are transmitted to a server side of the online detection system for processing through the detection analysis application module;
secondly, transmitting the processed related information to a cloud detection platform, and utilizing a big data analysis engine through the cloud detection platform;
and thirdly, performing performance detection, function detection, protocol detection and appearance detection on the acquired data through the artificial intelligence identification module through data integration and management, and displaying results through the man-machine exchange interface of the software system with the B/S structure.
5. The method as claimed in claim 4, wherein when the client of the system collects the detected devices and systems in different places, the detected devices and systems are measurement and control devices, PMU, gateway machine, RTU, protection and test device, DTU, auxiliary control system or monitoring system.
6. The method for detecting the power automation cloud detection platform based on the big data platform technology as claimed in claim 4, wherein the system client acquires the parameters, functions and performance information of the detected device and system in different places.
7. The detection method of the power automation cloud detection platform based on the big data platform technology as claimed in claim 6, characterized in that through data integration and management, collected data is subjected to performance detection, function detection, protocol detection and appearance detection, and the result is used for detection judgment, product identification, scientific research, power grid operation analysis and auxiliary decision.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102332752A (en) * | 2011-09-19 | 2012-01-25 | 中国电力科学研究院 | Detection platform and method capable of carrying out remote pretesting and self-evaluation on transformer substation automatic system |
| CN108874003A (en) * | 2018-08-21 | 2018-11-23 | 舒心（南京）环保能源科技有限公司 | A kind of hot water facility operation intelligent monitor system based on Energy Saving Algorithm |
| CN108964280A (en) * | 2018-08-20 | 2018-12-07 | 广州思泰信息技术有限公司 | A kind of automation of transformation substations equipment remote detecting system and method |
| CN109003394A (en) * | 2018-07-26 | 2018-12-14 | 徐春红 | A kind of public charging pile application method based on Internet of Things artificial intelligence |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10735216B2 (en) * | 2012-09-21 | 2020-08-04 | Google Llc | Handling security services visitor at a smart-home |
| US10332059B2 (en) * | 2013-03-14 | 2019-06-25 | Google Llc | Security scoring in a smart-sensored home |
-
2020
- 2020-05-11 CN CN202010393916.3A patent/CN111597227B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102332752A (en) * | 2011-09-19 | 2012-01-25 | 中国电力科学研究院 | Detection platform and method capable of carrying out remote pretesting and self-evaluation on transformer substation automatic system |
| CN109003394A (en) * | 2018-07-26 | 2018-12-14 | 徐春红 | A kind of public charging pile application method based on Internet of Things artificial intelligence |
| CN108964280A (en) * | 2018-08-20 | 2018-12-07 | 广州思泰信息技术有限公司 | A kind of automation of transformation substations equipment remote detecting system and method |
| CN108874003A (en) * | 2018-08-21 | 2018-11-23 | 舒心（南京）环保能源科技有限公司 | A kind of hot water facility operation intelligent monitor system based on Energy Saving Algorithm |
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