CN115641111A - Big data drive-based power transmission line fault early warning system - Google Patents
Big data drive-based power transmission line fault early warning system Download PDFInfo
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Abstract
The invention relates to the technical field of power transmission lines, and provides a power transmission line fault early warning system based on big data drive. The invention has the beneficial effects that: the invention provides a power transmission line fault early warning system which aims at operation and maintenance, reduces the occurrence probability of line faults and improves the power supply reliability based on accurate and timely early warning of big data. According to the invention, the transmission line is collected, compared, screened and checked based on the big data and then reported, and the operation and maintenance personnel can process the fault in a targeted manner, so that the operation and maintenance cost is reduced. The system can effectively prevent the transmission line from faults, greatly improves the working efficiency, has great significance for safe and stable operation of the power grid, and is worthy of popularization.
Description
Technical Field
The invention relates to the technical field of power transmission lines, in particular to a power transmission line fault early warning system based on big data driving.
Background
The power transmission line has the characteristics of longer path, complex peripheral terrain conditions, larger area span, large influence by environmental climate, longer inspection period and the like, and various faults can occur on distribution network lines and equipment inevitably, so that the power supply reliability of line users is directly influenced. If the transmission line breaks down, the power utilization is affected, even major accidents are caused, and the requirement of the current society for power utilization stability can not be met obviously in regular inspection, maintenance or rush repair.
With the wide application of big data, how to identify available data from massive data in the power industry and evaluate potential safety accident hazards of a power grid becomes a key step of informatization of the power industry. Therefore, a power transmission line fault early warning system which accurately and timely early warns based on big data, provides targeted operation and maintenance, reduces the occurrence probability of line faults and improves the power supply reliability is urgently needed.
Disclosure of Invention
The invention provides a power transmission line fault early warning system based on big data driving, which is used for solving the problem that the power transmission line fault cannot be accurately early warned in time.
A transmission line fault early warning system based on big data drive comprises an original data acquisition module, a big data analysis module and a fault early warning output module, and is characterized by further comprising a fault early warning rechecking module, a fault early warning display module and a fault early warning management and control processing module; wherein,
the original data acquisition module is used for acquiring relevant information of the power transmission line; the related information of the power transmission line comprises equipment data, meteorological data, fault event sequence information and power grid topology data;
the big data analysis module is used for analyzing and processing the data acquired by the original data acquisition module and constructing a data model; the big data analysis module comprises an original data processing module, a mining analysis module and a data model construction module;
the fault early warning output module is used for pushing the early warning information obtained by the big data analysis module to the power transmission line operation and maintenance server and outputting the matched fault early warning information;
the fault early warning rechecking module is used for judging the abnormal information output by the fault early warning output module again and carrying out matching verification on the abnormal information and the fault equipment;
the fault early warning display module is used for displaying the output early warning information in various forms, wherein the display contents comprise fault characteristic analysis display, fault reasons, fault positions and diagnosis results;
the fault early warning management and control processing module is used for matching early warning fault equipment with a solution in the system; the fault early warning management and control processing module comprises an automatic matching module and a manual management and control module.
Further, the device data includes a device type, a device runtime, and a device location.
Further, the meteorological data includes air temperature data, precipitation and wind speed.
Further, the original data processing module is used for performing data cleaning and filtering, data transformation and data integration on original data, so that sample data which can be analyzed is obtained.
Further, the mining analysis module is used for analyzing the relevance of the power distribution network fault influence factors; mining and analyzing the sample data to obtain a fault characteristic value influencing the line operation factor; and after the abnormal information is judged, the abnormal information is transmitted to a fault early warning output module.
Further, the data model building module is used for building a fault prediction model; constructing a fault factor mining database and a fault discrimination feature database; and carrying out fault factor index mining on the data in the current fault factor mining database, and further carrying out abnormal state tracking on the abnormal fault factors.
Further, the automatic matching module transmits the matched solution and the early warning fault equipment location to the manual management and control module.
Further, the manual control module is used for dispatching personnel to overhaul and maintain the early warning fixed point.
Further, the early warning system also comprises a fault processing feedback module.
Further, the fault processing feedback module is used for feeding back and recording fault processing conditions and results.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a power transmission line fault early warning system which aims at operation and maintenance, reduces the occurrence probability of line faults and improves the power supply reliability based on accurate and timely early warning of big data. According to the invention, the transmission line is collected, compared, screened and checked based on the big data and then reported, and the operation and maintenance personnel can process the fault in a targeted manner, so that the operation and maintenance cost is reduced. The system can effectively prevent the transmission line from faults, greatly improves the working efficiency, has great significance for safe and stable operation of the power grid, and is worthy of popularization.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic diagram of one of the structures of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, the big data drive-based power transmission line fault early warning system of the invention comprises an original data acquisition module, a big data analysis module and a fault early warning output module, and is characterized by further comprising a fault early warning rechecking module, a fault early warning display module and a fault early warning management and control processing module; wherein,
the original data acquisition module is used for acquiring relevant information of the power transmission line; the related information of the power transmission line comprises equipment data, meteorological data, fault event sequence information and power grid topology data; the acquisition of the original data provides data support for big data analysis;
the big data analysis module is used for analyzing and processing the data acquired by the original data acquisition module and constructing a data model; the big data analysis module comprises an original data processing module, a mining analysis module and a data model construction module;
the fault early warning output module is used for pushing the early warning information obtained by the big data analysis module to the transmission line operation and maintenance server and outputting the matched fault early warning information;
the fault early warning rechecking module is used for judging the abnormal information output by the fault early warning output module again and carrying out matching verification on the abnormal information and the fault equipment; the fault early warning and reviewing module can further check and verify the abnormal data, so that the accuracy of the output data is ensured, the workload of operation and maintenance personnel is reduced, and the operation and maintenance personnel can deal with the fault specifically.
The fault early warning display module is used for displaying the output early warning information in various forms, wherein the display contents comprise fault characteristic analysis display, fault reasons, fault positions and diagnosis results; the fault early warning display module displays early warning information more visually, can facilitate managers and dispatchers to know fault early warning results, can conveniently process fault thought distribution according to fault early warning conditions, and improves working efficiency;
the fault early warning management and control processing module is used for matching early-warning fault equipment with a solution in the system; the fault early warning management and control processing module comprises an automatic matching module and a manual management and control module. The fault early warning management and control processing module can help managers to distribute and process faults, so that the workload of workers is reduced, the working efficiency is improved, and the labor cost is reduced;
further, the device data includes a device type, a device runtime, and a device location. The data record not only facilitates fault maintenance, but also provides data basis for subsequent equipment maintenance and equipment replacement.
Further, the meteorological data includes air temperature data, precipitation and wind speed. The recording of meteorological data provides data support for fault early warning analysis, and the influence of temperature, precipitation and wind speed on faults and the occurrence probability can be analyzed according to the data.
Further, the original data processing module is used for performing data cleaning and filtering, data transformation and data integration on original data, so that sample data which can be analyzed is obtained. The primary processing of the original data can screen and filter effective data to obtain desired sample data, so that the subsequent data analysis is facilitated, and a data basis is laid for fault early warning.
Further, the mining analysis module is used for analyzing the relevance of the power distribution network fault influence factors; mining and analyzing the sample data to obtain a fault characteristic value influencing line operation factors; and after judging the abnormal information, transmitting the abnormal information to a fault early warning output module. The mining analysis module is beneficial to improving the accuracy of fault early warning.
Further, the data model building module is used for building a fault prediction model; constructing a fault factor mining database and a fault distinguishing feature library; and carrying out fault factor index mining on the data in the current fault factor mining database, and further carrying out abnormal state tracking on the abnormal fault factors. The big data can be conveniently analyzed by constructing the data model, and the data model can directly provide the accuracy for the fault early warning.
Further, the automatic matching module transmits the matched solution and the early warning fault equipment location to the manual management and control module. The automatic matching solution can facilitate the operation and maintenance personnel to deal with the faults in a targeted manner, reduces the operation and maintenance cost and greatly improves the working efficiency.
Further, the manual control module is used for dispatching personnel to overhaul and maintain the early warning fixed point. The manual management and control module is convenient for recording tasks distributed by managers and can also provide data support for examination of subsequent work tasks.
Further, the early warning system also comprises a fault processing feedback module. The fault processing feedback module is helpful for operation and maintenance personnel to feed back the processing condition of the fault, and facilitates subsequent checking and analysis of the fault.
Further, the fault processing feedback module is used for feeding back and recording fault processing conditions and results. The big data analysis module can record, analyze and store the data, analyze the fault occurrence rate and the fault problem of the fault point according to the feedback result and provide data support for later-stage fault early warning.
Furthermore, the fault early warning system further comprises a geographic information module, the geographic information module constructs a geographic space model, and the big data analysis module can be combined with the position provided by the geographic space model while analyzing the probability of occurrence of the hidden danger to form a hidden danger situation thermodynamic diagram, thereby being beneficial to visually displaying data information and providing powerful data guarantee for the set position of the early warning guarantee point in the later period.
The invention has wide early warning range, can accurately and timely judge the fault point in advance, improves the safety and stability of the use of the power grid equipment, reduces the production loss caused by the fault of the power grid equipment, reduces the routing inspection work of operation and maintenance personnel, and is suitable for popularization.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A transmission line fault early warning system based on big data drive comprises an original data acquisition module, a big data analysis module and a fault early warning output module, and is characterized by further comprising a fault early warning rechecking module, a fault early warning display module and a fault early warning management and control processing module; wherein,
the original data acquisition module is used for acquiring related information of the power transmission line; the related information of the power transmission line comprises equipment data, meteorological data, fault event sequence information and power grid topology data;
the big data analysis module is used for analyzing and processing the data acquired by the original data acquisition module and constructing a data model; the big data analysis module comprises an original data processing module, a mining analysis module and a data model construction module;
the fault early warning output module is used for pushing the early warning information obtained by the big data analysis module to the power transmission line operation and maintenance server and outputting the matched fault early warning information;
the fault early warning rechecking module is used for judging the abnormal information output by the fault early warning output module again and carrying out matching verification on the abnormal information and the fault equipment;
the fault early warning display module is used for displaying the output early warning information in various forms, wherein the display contents comprise fault characteristic analysis display, fault reasons, fault positions and diagnosis results;
the fault early warning management and control processing module is used for matching early-warning fault equipment with a solution in the system; the fault early warning management and control processing module comprises an automatic matching module and a manual management and control module.
2. The big data drive-based power transmission line fault early warning system as claimed in claim 1, wherein the equipment data includes equipment type, equipment running time and equipment location.
3. The big data drive-based transmission line fault early warning system as claimed in claim 1, wherein the meteorological data comprises air temperature data, precipitation and wind speed.
4. The big-data-drive-based power transmission line fault early warning system according to claim 1, wherein the raw data processing module is configured to perform data cleaning and filtering, data transformation, and data integration on raw data, so as to obtain sample data that can be analyzed.
5. The big data drive-based power transmission line fault early warning system according to claim 1, wherein the mining analysis module is used for analyzing the relevance of the fault influence factors of the power distribution network; mining and analyzing the sample data to obtain a fault characteristic value influencing line operation factors; and after judging the abnormal information, transmitting the abnormal information to a fault early warning output module.
6. The big data drive-based power transmission line fault early warning system according to claim 1, wherein the data model building module is used for building a fault prediction model; constructing a fault factor mining database and a fault distinguishing feature library; and carrying out fault factor index mining on the data in the current fault factor mining database, and further carrying out abnormal state tracking on the abnormal fault factors.
7. The big data drive-based power transmission line fault early warning system according to claim 1, wherein the automatic matching module transmits the matched solution and early warning fault equipment location to the manual management and control module.
8. The big data drive-based power transmission line fault early warning system according to claim 1, wherein the manual management and control module is used for dispatching personnel to repair and maintain an early warning fixed point.
9. The big data drive-based power transmission line fault early warning system according to claim 1, wherein the early warning system further comprises a fault processing feedback module.
10. The big data drive-based power transmission line fault early warning system according to claim 9, wherein the fault handling feedback module is used for feeding back and recording fault handling conditions and results.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211254336.1A CN115641111A (en) | 2022-10-13 | 2022-10-13 | Big data drive-based power transmission line fault early warning system |
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| CN202211254336.1A CN115641111A (en) | 2022-10-13 | 2022-10-13 | Big data drive-based power transmission line fault early warning system |
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