Fault diagnosis analysis and automatic reporting system for power transmission and distribution equipment of power grid

Abstract

The invention relates to a power grid power transmission and distribution equipment fault diagnosis analysis and automatic reporting system, which comprises an equipment detection module, a fault identification module, an information acquisition and transmission module, a central server, a reporting module and a visual terminal, a fault analysis unit, a report generation unit and a storage unit are arranged in the central server, the fault analysis unit can analyze and classify fault data and then generate a fault information analysis packet, and the report generation unit can analyze, retrieve and compare a fault database and refer to an expert system according to equipment fault in the fault information analysis packet; obtaining at least two fault processing schemes; the storage unit can be used for storing and backing up the equipment fault data, the fault information analysis packet and the fault solution; the method has the advantages of accurate fault diagnosis, rapidness and high efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system fault diagnosis and processing, and in particular relates to a power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system. Background Art

[0002] With the increasing scale of modern power systems and the continuous improvement of voltage levels, the harm caused by power transmission and distribution equipment failures to social economy and people's lives has become more serious. Rapid and accurate fault transient identification is a prerequisite for rapid restoration of power supply to the power grid and an important part of fault analysis. At present, the traditional way of handling power transmission and distribution equipment faults is mainly to find the fault point through manual inspection and upload it manually. In the specific implementation of this method, considering the lack of responsibility of the staff, low technical quality, poor work efficiency, and lack of judgment ability for some faults, the overall equipment maintenance quality is low and the maintenance time is long. In particular, some serious faults cannot be handled in time, which leads to major accidents. Therefore, it is necessary to develop a fault diagnosis analysis and automatic reporting system for power transmission and distribution equipment with accurate, fast and efficient fault diagnosis. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art and to provide a power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system with accurate, fast and efficient fault diagnosis.

[0004] The object of the present invention is achieved as follows: A fault diagnosis and analysis and automatic reporting system for power transmission and distribution equipment in a power grid, comprising an equipment detection module, a fault identification module, an information collection and transmission module, a central server, a reporting module and a visualization terminal; The equipment detection module can detect the current data, voltage data, frequency data, power data and switch status data of the distribution network equipment when it is running; The fault identification module can use the data detected by the equipment detection module to build a fault diagnosis model, thereby identifying the location of the equipment failure and the corresponding fault data, and then start its internal alarm unit to send an alarm signal to the information collection and transmission module; After receiving the alarm signal, the information collection and transmission module can collect the faulty distribution network equipment information and fault data and transmit them to the central server; The central server is internally provided with a fault analysis unit, a report generation unit and a storage unit. The fault analysis unit can analyze and classify the fault data and then generate a fault information analysis package; the report generation unit can retrieve and compare the fault database and refer to the expert system according to the equipment fault analysis in the fault information analysis package to obtain at least two fault handling solutions; the storage unit can store and back up the equipment fault data, the fault information analysis package and the fault solution; The reporting module can upload the equipment fault data, fault information analysis package and fault solution output by the central server to the visualization terminal; The visualization terminal can be used to view equipment fault data and fault solutions, and can also issue control instructions for subsequent fault processing through operation.

[0005] Furthermore, a temperature detection unit is provided inside the equipment detection module.

[0006] Furthermore, when the fault diagnosis model constructed by the fault identification module is working, for each power equipment, the fault diagnosis model can extract the first eigenvector in the operating data based on the current operating data of the power equipment, and calculate the first difference value between the first eigenvector and each second eigenvector in the preset fault sample library; determine whether there is a first difference value lower than the preset value, and if so, take the difference value with the smallest value among the first difference values ​​lower than the preset value as the second difference value, and according to the second difference value, retrieve the historical fault type corresponding to the historical fault operating data as the fault type of the current power equipment.

[0007] Furthermore, the first feature vector includes current waveform data, frequency spectrum analysis data and phase difference change data, and the second feature vector includes current waveform data, frequency spectrum analysis data and phase difference change data corresponding to each historical fault operation data.

[0008] Beneficial effects of the present invention: The present invention sets up a fault identification module, which can be used to build a fault diagnosis model based on the data detected by the equipment detection module, so as to identify the location where the equipment fails and the corresponding fault data. By setting up an alarm unit, the alarm signal sent by the alarm unit can be used to trigger the information collection and transmission module to collect fault data; By setting up a fault analysis unit and a report generation unit, the fault analysis unit can be used to analyze and classify fault data, and then generate a fault information analysis package; the report generation unit can be used to retrieve and compare the fault database and refer to the expert system based on the equipment fault analysis within the fault information analysis package, to obtain at least two fault handling solutions, thereby assisting the staff in analyzing, judging and handling the fault, thereby increasing the speed of subsequent fault handling; by setting up a reporting module, it can be used to upload equipment fault data, fault information analysis packages and fault solutions to a visualization terminal, so that operators can observe and quickly perform subsequent fault handling operations; in general, the present invention has the advantages of accurate, fast and efficient fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a structural flow chart of the present invention. DETAILED DESCRIPTION

[0010] The present invention will be further described below in conjunction with the accompanying drawings.

[0011] Example: Figure 1 As shown, a power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system includes an equipment detection module, a fault identification module, an information collection and transmission module, a central server, a reporting module and a visualization terminal; the equipment detection module can detect the current data, voltage data, frequency data, power data and switch status data of the distribution network equipment during operation; the fault identification module can use the data detected by the equipment detection module to build a fault diagnosis model, thereby identifying the location where the equipment fails and the corresponding fault data, and then start its internal alarm unit to send an alarm signal to the information collection and transmission module; after receiving the alarm signal, the information collection and transmission module can collect the faulty distribution network equipment information and fault data and transmit them to the central server ; The central server is internally provided with a fault analysis unit, a report generation unit and a storage unit. The fault analysis unit can analyze and classify the fault data and then generate a fault information analysis package; the report generation unit can retrieve and compare the fault database and refer to the expert system according to the equipment fault analysis in the fault information analysis package to obtain at least two fault handling solutions; the storage unit can store and back up the equipment fault data, fault information analysis package and fault solution; the reporting module can upload the equipment fault data, fault information analysis package and fault solution output by the central server to the visualization terminal; the visualization terminal can view the equipment fault data and fault solution, and can also issue control instructions for subsequent fault handling through operation.

[0012] The equipment detection module is internally provided with a temperature detection unit, which can be used to detect the temperature of the equipment. When the fault diagnosis model constructed by the fault identification module is working, for each power equipment, the fault diagnosis model can extract the first eigenvector in the operation data according to the current operation data of the power equipment, and calculate the first difference value between the first eigenvector and each second eigenvector in the preset fault sample library; determine whether there is a first difference value lower than the preset value, and if so, take the difference value with the smallest value among the first difference values ​​lower than the preset value as the second difference value, and according to the second difference value, retrieve the historical fault type corresponding to the historical fault operation data as the fault type of the current power equipment, the first eigenvector includes current waveform data, frequency spectrum analysis data and phase difference change data, and the second eigenvector includes current waveform data, frequency spectrum analysis data and phase difference change data corresponding to each historical fault operation data.

[0013] When the present invention is used, first, the current data, voltage data, frequency data, power data and switch state data of the distribution network equipment during operation are detected by the equipment detection module, and at the same time, the temperature detection unit inside the equipment is used to detect the temperature of the equipment. Then, according to the data detected by the equipment detection module, a fault identification module is used to build a fault diagnosis model, so as to identify the location where the equipment fails and the corresponding fault data, and then an alarm signal is sent to the information collection and transmission module through the alarm unit inside the equipment, and the alarm signal is used to trigger the information collection and transmission module to collect the distribution network equipment information and fault data, and after the data collection is completed, it is transmitted to the central server. After receiving the fault information, the central server first analyzes the fault through the fault analysis unit inside the equipment. The fault data is analyzed and classified, and a fault information analysis package is generated. After that, a report generation unit is used to analyze the equipment fault according to the fault information analysis package, and a fault database and a reference expert system are retrieved and compared to obtain at least two fault handling solutions. This method can be used to assist the staff in analyzing, judging and handling the fault, thereby increasing the speed of subsequent fault handling. Finally, the equipment fault data, the fault information analysis package and the fault solution are stored and backed up by the storage unit, and the equipment fault data, the fault information analysis package and the fault solution output by the central server are uploaded to the visualization terminal by the reporting module, so that the operator can observe and quickly perform subsequent fault handling operations. In general, the present invention has the advantages of accurate, fast and efficient fault diagnosis.

[0014] The above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the specific implementation modes of the present invention can still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A fault diagnosis, analysis and automatic reporting system for power transmission and distribution equipment in a power grid, comprising an equipment detection module, a fault identification module, an information collection and transmission module, a central server, a reporting module and a visualization terminal; The equipment detection module can detect the current data, voltage data, frequency data, power data and switch status data of the distribution network equipment when it is running; The fault identification module can use the data detected by the equipment detection module to build a fault diagnosis model, thereby identifying the location of the equipment failure and the corresponding fault data, and then start its internal alarm unit to send an alarm signal to the information collection and transmission module; After receiving the alarm signal, the information collection and transmission module can collect the faulty distribution network equipment information and fault data and transmit them to the central server; The central server is internally provided with a fault analysis unit, a report generation unit and a storage unit. The fault analysis unit can analyze and classify the fault data and then generate a fault information analysis package; the report generation unit can retrieve and compare the fault database and refer to the expert system according to the equipment fault analysis in the fault information analysis package to obtain at least two fault handling solutions; The storage unit can store and back up equipment fault data, fault information analysis packages and fault solutions; The reporting module can upload the equipment fault data, fault information analysis package and fault solution output by the central server to the visualization terminal; The visualization terminal can be used to view equipment fault data and fault solutions, and can also issue control instructions for subsequent fault processing through operation.

2. A power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system as claimed in claim 1, characterized in that: A temperature detection unit is arranged inside the equipment detection module.

3. A power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system as claimed in claim 1, characterized in that: When the fault diagnosis model constructed by the fault identification module is working, for each power equipment, the fault diagnosis model can extract the first eigenvector in the operation data according to the current operation data of the power equipment, calculate the first difference value between the first eigenvector and each second eigenvector in the preset fault sample library; determine whether there is a first difference value lower than the preset value, and if so, take the difference value with the smallest value among the first difference values ​​lower than the preset value as the second difference value, and according to the second difference value, retrieve the historical fault type corresponding to the historical fault operation data as the fault type of the current power equipment.

4. A power grid transmission and distribution equipment fault diagnosis analysis and automatic reporting system as claimed in claim 3, characterized in that: The first feature vector includes current waveform data, frequency spectrum analysis data and phase difference change data, and the second feature vector includes current waveform data, frequency spectrum analysis data and phase difference change data corresponding to each historical fault operation data.

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