CN115267616A - Transformer running state monitoring system and method based on enterprise data middling station - Google Patents
Transformer running state monitoring system and method based on enterprise data middling station Download PDFInfo
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- CN115267616A CN115267616A CN202210775306.9A CN202210775306A CN115267616A CN 115267616 A CN115267616 A CN 115267616A CN 202210775306 A CN202210775306 A CN 202210775306A CN 115267616 A CN115267616 A CN 115267616A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
Abstract
The invention belongs to the technical field of transformer operation state monitoring, and particularly relates to a transformer operation state monitoring system and method based on an enterprise data center station. The method comprises the following steps: step 1, various operation historical data of the data link integrated transformer are retrieved by communicating data of multi-platform data intercommunication; and 2, carrying out abnormal data discrimination, study, judgment, early warning and analysis on the operation historical data by utilizing a research and development big data analysis algorithm. And 3, displaying the analysis result through the comprehensive monitoring result unit. The method can realize the prejudgment of potential faults of the transformer equipment, greatly reduce the fault rate of the equipment and improve the operation reliability of the equipment and a power grid. The maintenance period of the equipment is prolonged, and the operation and maintenance cost of the equipment is reduced. The operation and maintenance monitoring management level of various devices of the power grid is comprehensively improved, the power supply reliability of the power grid is improved, the production and operation cost is reduced, and the economic benefit and the social benefit of a company are remarkably improved.
Description
Technical Field
The invention belongs to the technical field of transformer operation state monitoring, and particularly relates to a transformer operation state monitoring system and method based on an enterprise data center station.
Background
At present, with the requirements for intelligent and digital management of equipment are increased, the intelligent management requirements for transformer equipment are gradually increased, various operation data are dispersed in multiple places such as a PMS (permanent magnet system), an OMS (object management system), a relay protection background and the like, the problems of difficulty in taking, checking and managing are gradually highlighted, even the timely discovery and early warning management of equipment operation fault data are hindered, and the intelligent and digital management implementation of the transformer is severely restricted.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a transformer running state monitoring system and method based on an enterprise data center station. The method aims to achieve the invention aims of prejudging potential faults of transformer equipment and greatly reducing the fault rate of the equipment.
The technical scheme adopted by the invention for realizing the purpose is as follows:
transformer running state monitoring system based on enterprise data middling platform includes:
the method comprises the steps of opening a data link through a data center network architecture in a power grid, converging required information of a PMS (permanent magnet synchronous system), an OMS (open multimedia system), an online monitoring system and a local information acquisition system in a distributed storage space of a transformer operation state monitoring system in an enterprise data center, carrying out data convergence analysis and calculation by a data fusion calculation unit, carrying out noise data interference analysis by an interference data fuzzy screening module, eliminating interference data, and finally carrying out visual analysis and display by a comprehensive monitoring result unit;
the system comprises a PMS information system, an on-site information acquisition system, an OMS information system, an on-line monitoring system and an enterprise data center station, wherein the PMS information system and the on-site information acquisition system are respectively in wireless connection with the enterprise data center station; the enterprise data center station is wirelessly connected with the transformer operation state monitoring system, and the transformer operation state monitoring system is sequentially wirelessly connected with the data integration calculation unit, the interference data fuzzy screening unit and the comprehensive monitoring result display unit.
Furthermore, the PMS information system is used for acquiring the capacity, the model and the year information of the transformer through the server, analyzing the information and then accessing the analyzed data to an enterprise data center station;
the OMS information system is used for acquiring the load rate and three-phase voltage and current information of the transformer through the server, analyzing the information, and then accessing the analyzed data to an enterprise data center;
the online monitoring system is used for acquiring information of dissolved gas in oil and iron core grounding current of the transformer through a server, analyzing the information, and accessing the analyzed data to an enterprise data center;
the local information acquisition system is used for acquiring relay protection data, oil temperature and oil level information of the transformer through the server, analyzing the relay protection data, the oil temperature and the oil level information, and then accessing the analyzed data to an enterprise data center.
Furthermore, the enterprise data center is used for receiving transformer data analyzed by a PMS information system, an OMS information system, an online monitoring system and an on-site information acquisition system;
and then abnormal data discrimination, study, judgment, early warning and analysis are carried out on the analyzed transformer data through the DataWorks component, and an analysis result is transmitted to a transformer operation state monitoring system.
Furthermore, the transformer operation state monitoring system is used for receiving the analysis result transmitted by the enterprise data middle station and transmitting the analysis result to the data fusion computing unit.
Furthermore, the data fusion calculation unit is used for converging the data of each system and performing combined calculation;
the interference data fuzzy screening is used for eliminating noise data with large disturbance;
and the comprehensive monitoring result display unit is used for visually displaying the calculation and analysis result.
Furthermore, the transformer operation state monitoring method based on the enterprise data center comprises the following steps:
step 1, various operation historical data of the data link integrated transformer are retrieved by communicating data of multi-platform data intercommunication;
and 2, carrying out abnormal data discrimination, study, judgment, early warning and analysis on the operation historical data by utilizing a research and development big data analysis algorithm.
And 3, displaying the analysis result through the comprehensive monitoring result unit.
Furthermore, the abnormal data discrimination, study, judgment, early warning and analysis is to apply a big data analysis algorithm to extract the single fault characteristic quantity of the equipment by combining equipment operation and historical data.
Furthermore, the abnormal data screening, studying and judging, early warning and analyzing method comprises the following steps:
(1) Intelligently early warning and analyzing short circuit impact when the transformer is abnormal;
(2) Transformer overload analysis is analyzed through intelligent transformer abnormity early warning analysis;
(3) The transformer abnormity intelligent early warning analysis main transformer loss;
(4) Intelligently early warning and analyzing the apparent power of the transformer in case of abnormity;
(5) Intelligently early warning and analyzing transformer oil data of the transformer in case of abnormity;
(6) And (4) carrying out intelligent early warning analysis on potential faults of the transformer.
A computer device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor;
and the processor realizes the steps of any one of the transformer running state monitoring methods based on the enterprise data middleboxes when executing the computer program.
A computer storage medium having a computer program stored thereon;
the computer program when executed by a processor implements the steps of any of the enterprise data center station-based transformer operation state monitoring methods.
The invention has the following beneficial effects and advantages:
the method can realize the prejudgment of potential faults of the transformer equipment, greatly reduce the fault rate of the equipment and improve the operation reliability of the equipment and a power grid.
The invention can also prolong the maintenance period of the equipment and reduce the operation and maintenance cost of the equipment. The operation and maintenance monitoring and management level of various devices of the power grid is comprehensively improved, the power supply reliability of the power grid is improved, the production and operation cost is reduced, and the economic benefit and the social benefit of a company are remarkably improved.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a diagram of the data system operating framework of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more detailed description of the present invention will be made in conjunction with the accompanying drawings and detailed description. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein and, therefore, the scope of the present invention is not limited by the specific embodiments disclosed below.
The solution of some embodiments of the invention is described below with reference to fig. 1.
Example 1
The invention provides an embodiment, and relates to a transformer operation state monitoring system based on an enterprise data center, as shown in fig. 1, fig. 1 is a working framework diagram of a data system of the invention.
The system of the invention comprises:
the method comprises the steps of opening a data link through a network architecture of a data center station in a power grid, converging required information of a PMS system, an OMS system, an online monitoring system and a local information acquisition system in a distributed storage space of a transformer operation state monitoring system in an enterprise data center station, carrying out data convergence analysis and calculation by a data fusion calculation unit, carrying out noise data interference analysis by an interference data fuzzy screening module, eliminating interference data, and finally carrying out visual analysis and display by an integrated monitoring result unit.
The PMS information system and the local information acquisition system are respectively in wireless connection with the enterprise data center station, and the OMS information system and the online monitoring system are connected in parallel and are in wireless connection with the enterprise data center station; the enterprise data center station is wirelessly connected with the transformer operation state monitoring system, and the transformer operation state monitoring system is wirelessly connected with the data integration calculation unit, the interference data fuzzy screening unit and the comprehensive monitoring result display unit in sequence.
The PMS information system is used for acquiring information such as the capacity, the model and the year of the transformer through the server, analyzing the information, and then accessing the analyzed data to an enterprise data center.
And the OMS information system is used for acquiring information such as load rate, three-phase voltage and current and the like of the transformer through the server, analyzing the information, and accessing the analyzed data to an enterprise data center.
The online monitoring system is used for acquiring information such as dissolved gas in oil of the transformer and iron core grounding current through the server, analyzing the information, and then accessing the analyzed data to an enterprise data center.
The local information acquisition system is used for acquiring information such as relay protection data, oil temperature and oil level of the transformer through the server, analyzing the information, and then accessing the analyzed data to an enterprise data center.
The enterprise data center comprises an existing DataWorks component and is used for receiving transformer data analyzed by a PMS information system, an OMS information system, an online monitoring system and an on-site information acquisition system. And then carrying out abnormal data discrimination, study, judgment, early warning and analysis on the received and analyzed transformer data, and transmitting an analysis result to a transformer operation state monitoring system.
The transformer running state monitoring system is used for receiving analysis results transmitted by the enterprise data middling stations and transmitting the analysis results to the data fusion computing unit.
And the data fusion computing unit is used for converging the data of each system and performing combined computation.
And the interference data fuzzy screening is used for eliminating the noise data with large disturbance.
And the comprehensive monitoring result display unit is used for visually displaying the calculation and analysis result.
And (3) data access aspect: scheduling EMS and OMS data, acquiring files through a server for analysis, then accessing the analyzed data to a source pasting layer of an enterprise data center station, performing data access on PMS and power transmission and transformation on-line monitoring data through a data center station Di task, and manually importing remote signaling alarm data to the data center station through off-line data.
Through a data works component in the data, based on six functional points of short circuit impact, transformer overload analysis, main transformer loss rate, transformer oil data analysis and potential fault analysis, data development work is developed from four aspects of data wide table design, data logic development, result set generation and scheduling task configuration.
Example 2
The invention also provides an embodiment of the transformer running state monitoring method based on the enterprise data center.
The invention specifically relates to a method for monitoring by using a transformer running state monitoring system based on an enterprise data center, which specifically comprises the following steps:
step 1: firstly, various operation historical data of the data link integrated transformer are retrieved by communicating data intercommunication data of multiple platforms.
Various types of data extraction model systems of the transformer and the high-voltage transformer are applied, and the model systems comprise operating data such as load power, main transformer loss rate, weather, dissolved gas in transformer oil, iron core grounding current, oil temperature, oil level, current, voltage and the like; state change data such as relay protection action, switch deflection and short circuit impact current; PMS ledger data such as equipment capacity, model, year, and the like.
As shown in table 1, table 1 is a system monitoring data type list.
And 2, step: and carrying out abnormal data discrimination, study, judgment, early warning and analysis on the operation historical data by utilizing a developed big data analysis algorithm.
The method comprises the following steps: and (4) extracting the single fault characteristic quantity of the equipment by combining equipment operation and historical data and applying a big data analysis algorithm to fit abnormal data.
The invention discloses a big data analysis algorithm which is developed by the prior algorithm.
The method carries out diagnosis of the transformer abnormity diagnosis index from six aspects of transformer basic attribute, loss condition, temperature early warning, short circuit impact, transformer on-line monitoring analysis and weather temperature.
The diagnosis of the transformer abnormality diagnosis index specifically comprises the following steps:
and the abnormity diagnosis of the transformer is carried out from multiple angles aiming at the abnormity of the operation age, power, loss rate, winding temperature, oil temperature, temperature rise, short circuit impact frequency, transformer on-line monitoring, weather condition and the like.
The abnormal data discrimination, study, judgment, early warning and analysis comprises the following steps:
(1) And (4) carrying out intelligent early warning and analysis on short circuit impact when the transformer is abnormal.
By means of EMS remote signaling alarm data of provincial and municipal dispatching, the transformer/line fault tripping condition can be analyzed in multiple dimensions from date, month, voltage level and the like according to two conditions of switch deflection and protection action within 10 seconds.
(2) Transformer overload analysis is analyzed in abnormal intelligent early warning of transformer.
And the judgment of the overload condition of the transformer is realized by scheduling OMS and EMS system winding information, transformer information and telemetering data according to the overload condition that the active power is more than 100 percent of the rated power.
(3) And (4) carrying out intelligent early warning and analysis on the main transformer loss due to transformer abnormity.
And calculating the offset through dispatching OMS and EMS system winding information, transformer information and telemetering data, calculating the offset through winding ID, and performing correlation matching with the telemetering data, and calculating the main transformer loss from two indexes of power and current respectively.
(6) And (4) intelligently early warning and analyzing the apparent power of the transformer in case of abnormity.
And calculating the offset through the winding ID and performing correlation matching with the telemetering data by scheduling OMS and EMS system winding information, transformer information and telemetering data to complete the calculation and analysis of the apparent power of the transformer.
(7) And (4) intelligently early warning and analyzing transformer oil data when the transformer is abnormal.
Analyzing the data of dissolved gas, micro water and iron core grounding current of the power transmission and transformation online monitoring system, analyzing the content and threshold value of each value in the transformer oil, and further prejudging the transformer fault.
(6) And (4) carrying out intelligent early warning analysis on potential faults of the transformer.
A transformer comprehensive analysis and evaluation model is constructed through data such as transformer temperature, oil temperature, load, main transformer loss, short circuit impact, weather, operation years, dissolved gas, micro water, iron core grounding current and the like, and potential fault prejudgment of the transformer is achieved.
And 3, step 3: and displaying the analysis solution through the comprehensive monitoring result unit.
TABLE 1 System monitoring data type List
Example 3
Based on the same inventive concept, the embodiment of the present invention also provides a computer device, which includes a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor.
The processor implements the steps of the method for monitoring the operation state of the transformer based on the enterprise data middleware according to any one of embodiments 1 and 2 when executing the computer program.
Example 4
Based on the same inventive concept, the embodiment of the invention also provides a computer storage medium.
The computer storage medium has a computer program stored thereon.
The computer program, when executed by a processor, implements the steps of any one of the enterprise data base-based transformer operating condition monitoring methods described in embodiments 1 or 2.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. Transformer running state monitoring system based on enterprise data center platform, characterized by: the method comprises the following steps: the method comprises the steps of opening a data link through a data center network architecture in a power grid, converging required information of a PMS (permanent magnet synchronous system), an OMS (open multimedia system), an online monitoring system and a local information acquisition system in a distributed storage space of a transformer operation state monitoring system in an enterprise data center, carrying out data convergence analysis and calculation by a data fusion calculation unit, carrying out noise data interference analysis by an interference data fuzzy screening module, eliminating interference data, and finally carrying out visual analysis and display by a comprehensive monitoring result unit; the system comprises a PMS information system, an OMS information system, an online monitoring system, an on-site information acquisition system, an enterprise data center station and an enterprise data center station, wherein the PMS information system and the on-site information acquisition system are respectively in wireless connection with the enterprise data center station; the enterprise data center station is wirelessly connected with the transformer operation state monitoring system, and the transformer operation state monitoring system is wirelessly connected with the data integration calculation unit, the interference data fuzzy screening unit and the comprehensive monitoring result display unit in sequence.
2. The system for monitoring the operating state of the transformer based on the enterprise data center station as claimed in claim 1, wherein:
the PMS information system is used for acquiring the capacity, model and year information of the transformer through the server, analyzing the capacity, model and year information, and then accessing the analyzed data to an enterprise data center;
the OMS information system is used for acquiring the load rate and three-phase voltage and current information of the transformer through the server, analyzing the information, and then accessing the analyzed data to an enterprise data center;
the online monitoring system is used for acquiring information of dissolved gas and iron core grounding current in oil of the transformer through a server, analyzing the information, and then accessing the analyzed data to an enterprise data center;
the local information acquisition system is used for acquiring relay protection data, oil temperature and oil level information of the transformer through the server, analyzing the relay protection data, the oil temperature and the oil level information, and then accessing the analyzed data to an enterprise data center.
3. The system for monitoring the operating state of the transformer based on the enterprise data center station as claimed in claim 1, wherein: the enterprise data center is used for receiving transformer data analyzed by a PMS information system, an OMS information system, an online monitoring system and an on-site information acquisition system; and then carrying out abnormal data discrimination, study, judgment, early warning and analysis on the analyzed transformer data through a DataWorks component, and transmitting an analysis result to a transformer operation state monitoring system.
4. The system for monitoring the operating state of the transformer based on the enterprise data center station as claimed in claim 1, wherein: the transformer running state monitoring system is used for receiving analysis results transmitted by the enterprise data middling stations and transmitting the analysis results to the data fusion computing unit.
5. The system for monitoring the operating state of the transformer based on the enterprise data center station as claimed in claim 1, wherein: the data fusion computing unit is used for converging data of each system and performing combined computation;
the interference data fuzzy screening is used for eliminating noise data with large disturbance;
and the comprehensive monitoring result display unit is used for visually displaying the calculation and analysis result.
6. The transformer running state monitoring method based on the enterprise data center station is characterized by comprising the following steps of: the method comprises the following steps:
step 1, opening multi-platform data intercommunication data to retrieve various kinds of operation historical data of the data link integrated transformer;
step 2, carrying out abnormal data discrimination, study, judgment, early warning and analysis on the operation historical data by utilizing a developed big data analysis algorithm;
and 3, displaying the analysis result through the comprehensive monitoring result unit.
7. The method for monitoring the running state of the transformer based on the enterprise data center station as claimed in claim 1, wherein the method comprises the following steps: the abnormal data screening, judging, early warning and analyzing is to extract the single fault characteristic quantity of the equipment by applying a big data analysis algorithm in combination with equipment operation and historical data.
8. The method for monitoring the running state of the transformer based on the enterprise data center station as claimed in claim 1, wherein the method comprises the following steps: the abnormal data screening, studying and judging early warning analysis comprises the following steps:
(1) Intelligently early warning and analyzing short circuit impact when the transformer is abnormal;
(2) Transformer overload analysis is analyzed through intelligent transformer abnormity early warning analysis;
(3) Intelligently early warning and analyzing the main transformer loss due to transformer abnormity;
intelligently early warning and analyzing the apparent power of the transformer in case of abnormity;
intelligent early warning and analysis of transformer oil data of the transformer abnormity;
(6) And (4) carrying out intelligent early warning analysis on potential faults of the transformer.
9. Computer arrangement comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, characterized in that the processor when executing the computer program performs the steps of the method for monitoring an operational state of a transformer based on a central station in enterprise data according to any of claims 6-8.
10. A computer storage medium, characterized by: the computer storage medium has a computer program stored thereon, and the computer program when executed by a processor implements the steps of the method for monitoring the operational status of the transformer based on the enterprise data center station according to any one of claims 6 to 8.
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| CN202210775306.9A CN115267616A (en) | 2022-07-01 | 2022-07-01 | Transformer running state monitoring system and method based on enterprise data middling station |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116127163A (en) * | 2023-04-14 | 2023-05-16 | 国网江西省电力有限公司电力科学研究院 | Anti-interference power transformer short circuit impact analysis system and method |
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2022
- 2022-07-01 CN CN202210775306.9A patent/CN115267616A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116127163A (en) * | 2023-04-14 | 2023-05-16 | 国网江西省电力有限公司电力科学研究院 | Anti-interference power transformer short circuit impact analysis system and method |
| CN116127163B (en) * | 2023-04-14 | 2023-08-15 | 国网江西省电力有限公司电力科学研究院 | Anti-interference power transformer short circuit impact analysis system and method |
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