Abnormity detection system based on power grid visual monitoring

Abstract

The invention discloses an anomaly detection system based on power grid visual monitoring, which comprises a visual management terminal, a real-time monitoring system and an anomaly detection system, and relates to the technical field of power grid management. According to the anomaly detection system based on power grid visual monitoring, the anomaly detection system is arranged, collected data are analyzed in real time through an anomaly detection module, and current data are compared with standard data in a normal operation state or historical data in a database; if the situation that the data fluctuates abnormally or exceeds a normal range is found, the fault feature analysis unit recognizes the abnormality, then the fault positioning unit determines the specific position of the fault, and the fault warning unit warns and notifies related personnel to handle the fault in time, so that the fault is prevented from being damaged. Therefore, an electric power company can manage and maintain a power grid more efficiently and intelligently, and safe and stable operation of an electric power system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid management, and in particular to an abnormality detection system based on visual monitoring of a power grid. Background Art

[0002] The reference patent name is: A visualization display method based on power grid operation data (patent publication number: CN118152484A, patent publication date: 2024.06.07), including: periodically obtaining power grid operation data in the power grid system database based on user scheduling tasks; obtaining user request information, and determining the user type and the power grid operation and maintenance operation control requirements matching the user type according to the user request information; constructing a corresponding multi-dimensional data analysis model according to the power grid operation and maintenance operation control requirements; visualizing the power grid operation data based on the multi-dimensional data analysis model combined with the indicator display rules of the power grid business type, and being able to provide customized power grid operation status display interfaces for different users, meet the operation and maintenance operation control requirements of different users, and update and synchronize power grid operation data in real time, so that users can quickly obtain the latest power grid status and improve the control efficiency of different users in managing power grid operation and maintenance operations.

[0003] Based on what is stated in the above document: In the power system, the stable operation of the power grid is crucial, and power grid fault diagnosis is an important means to ensure the safe operation of the power grid. Traditional fault diagnosis methods often rely on simulated fault data files or manually exported offline data files. This method cannot effectively obtain the real-time data required by the fault diagnosis system and cannot meet the real-time requirements of fault diagnosis. It makes it impossible for management personnel to intuitively understand the specific location of the abnormal fault and cannot perform maintenance processing in the first time, thereby ensuring the stable operation of the power system. To this end, the present invention provides an anomaly detection system based on visual monitoring of the power grid. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an anomaly detection system based on visual monitoring of the power grid, which solves the problem that the existing anomaly detection system based on visual monitoring of the power grid cannot effectively obtain the real-time data required by the fault diagnosis system and cannot meet the real-time requirements of fault diagnosis, making it impossible for management personnel to intuitively understand the specific location of the abnormal fault and unable to perform maintenance processing in the first time, thereby ensuring the stable operation of the power system.

[0005] To achieve the above purpose, the present invention is implemented through the following technical solutions: an anomaly detection system based on visual monitoring of a power grid, comprising a visual management terminal, a real-time monitoring system and an anomaly detection system, wherein the visual management terminal and the real-time monitoring system are bidirectionally connected, the real-time monitoring system and the anomaly detection system are bidirectionally connected, the visual management terminal and the anomaly detection system are bidirectionally connected, and the anomaly detection system comprises a data receiving module, a data analysis module, a data comparison module, an anomaly detection module, a fault instruction generation module and a fault instruction sending module;

[0006] The abnormality detection module includes a fault determination unit, a fault location unit, a fault feature analysis unit, a protection self-test unit, a power outage detection unit and a fault alarm unit. The output end of the fault determination unit is connected to the input end of the fault location unit, the output end of the fault location unit is connected to the input end of the fault feature analysis unit, the output end of the fault feature analysis unit is connected to the input end of the protection self-test unit, the output end of the fault feature analysis unit is connected to the input end of the power outage detection unit, the output end of the protection self-test unit is connected to the input end of the fault alarm unit, and the output end of the power outage detection unit is connected to the input end of the fault alarm unit.

[0007] Preferably, the output end of the data receiving module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the data comparison module, and the output end of the data comparison module is connected to the input end of the abnormality detection module.

[0008] Preferably, the output end of the abnormality detection module is connected to the input end of the fault instruction generation module, and the output end of the fault instruction generation module is connected to the input end of the fault instruction sending module.

[0009] Preferably, the visual management terminal includes a data acquisition module, a data processing module, a data conversion module, a data integration module, a data imaging module, a visual display module, an abnormality display module, a fault warning module and an adjustment control module.

[0010] Preferably, the output end of the data acquisition module is connected to the input end of the data processing module, the output end of the data processing module is connected to the input end of the data conversion module, the output end of the data conversion module is connected to the input end of the data conversion module, the output end of the data conversion module is connected to the input end of the data integration module, and the output end of the data integration module is connected to the input end of the data imaging module.

[0011] Preferably, the output end of the data imaging module is connected to the input end of the visualization display module, the output end of the visualization display module is connected to the input end of the abnormal display module, the output end of the abnormal display module is connected to the input end of the fault warning module, and the output end of the fault warning module is connected to the input end of the adjustment control module.

[0012] Preferably, the real-time monitoring system includes a real-time monitoring module, a data acquisition module, a data preprocessing module, a data transmission module and a data storage module.

[0013] Preferably, the output end of the real-time monitoring module is connected to the input end of the data acquisition module, the output end of the data acquisition module is connected to the input end of the data preprocessing module, the output end of the data preprocessing module is connected to the input end of the data transmission module, and the output end of the data preprocessing module is connected to the input end of the data storage module.

[0014] Beneficial Effects

[0015] The present invention provides an abnormality detection system based on visual monitoring of power grid. Compared with the prior art, it has the following beneficial effects:

[0016] (1) The anomaly detection system based on visual monitoring of the power grid is provided with an anomaly detection system. The anomaly detection module is used to perform real-time analysis on the collected data, and the current data is compared with the standard data under normal operating conditions or the historical data in the database. If the data is found to have abnormal fluctuations or exceed the normal range, the fault feature analysis unit will identify the anomaly, and then the fault location unit will determine the specific location of the fault, and the fault alarm unit will issue an alarm to notify relevant personnel to deal with the fault in time, so that the power company can manage and maintain the power grid more efficiently and intelligently, ensuring the safe and stable operation of the power system.

[0017] (2) The anomaly detection system based on visual monitoring of the power grid is equipped with a visual management terminal to process, transform, integrate and image the collected data, and transform these data into visual graphics or charts through a visual display module, so that management personnel can more intuitively understand the real-time operation status of the power grid. When there is an abnormal fault in the power grid area, the specific location of the fault can be understood at the first time and can be handled at the first time.

[0018] (3) The anomaly detection system based on visual monitoring of the power grid is equipped with a real-time monitoring system. It uses a real-time monitoring module and a data acquisition module to continuously collect data from various devices and nodes in the power grid, and pre-processes the data through a data pre-processing module, including data cleaning, formatting and normalization, to ensure the quality and consistency of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is the overall principle block diagram of the present invention;

[0020] Figure 2 It is a principle block diagram of the visual management system of the present invention;

[0021] Figure 3 It is a principle block diagram of the real-time monitoring system of the present invention;

[0022] Figure 4 is a principle block diagram of the anomaly detection system of the present invention;

[0023] Figure 5 It is a principle block diagram of the abnormality detection module of the present invention.

[0024] In the figure: 1-visual management terminal, 11-data acquisition module, 12-data processing module, 13-data conversion module, 14-data integration module, 15-data imaging module, 16-visual display module, 17-abnormal display module, 18-fault warning module, 19-regulation control module, 2-real-time monitoring system, 21-real-time monitoring module, 22-data acquisition module, 23-data preprocessing module, 24-data transmission module, 25-data storage module, 3-abnormal detection system, 31-data receiving module, 32-data analysis module, 33-data comparison module, 34-abnormal detection module, 341-fault determination unit, 342-fault location unit, 343-fault feature analysis unit, 344-protection self-checking unit, 345-power failure detection unit, 346-fault warning unit, 35-fault instruction generation module, 36-fault instruction sending module. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1-5 , the present invention provides a technical solution:

[0027] An anomaly detection system based on visual monitoring of power grid,

[0028] It includes a visual management terminal 1, a real-time monitoring system 2 and an anomaly detection system 3. The visual management terminal 1 is bidirectionally connected with the real-time monitoring system 2, the real-time monitoring system 2 is bidirectionally connected with the anomaly detection system 3, and the visual management terminal 1 is bidirectionally connected with the anomaly detection system 3. The anomaly detection system 3 includes a data receiving module 31, a data analysis module 32, a data comparison module 33, an anomaly detection module 34, a fault instruction generation module 35 and a fault instruction sending module 36;

[0029] The abnormality detection module 34 includes a fault judgment unit 341, a fault location unit 342, a fault feature analysis unit 343, a protection self-test unit 344, a power outage detection unit 345 and a fault alarm unit 346. The output end of the fault judgment unit 341 is connected to the input end of the fault location unit 342, the output end of the fault location unit 342 is connected to the input end of the fault feature analysis unit 343, the output end of the fault feature analysis unit 343 is connected to the input end of the protection self-test unit 344, the output end of the fault feature analysis unit 343 is connected to the input end of the power outage detection unit 345, the output end of the protection self-test unit 344 is connected to the input end of the fault alarm unit 346, and the output end of the power outage detection unit 345 is connected to the input end of the fault alarm unit 346.

[0030] In the embodiment of the present invention, the output end of the data receiving module 31 is connected to the input end of the data analysis module 32, the output end of the data analysis module 32 is connected to the input end of the data comparison module 33, and the output end of the data comparison module 33 is connected to the input end of the abnormality detection module 34.

[0031] In the embodiment of the present invention, the output end of the abnormality detection module 34 is connected to the input end of the fault instruction generation module 35 , and the output end of the fault instruction generation module 35 is connected to the input end of the fault instruction sending module 36 .

[0032] The anomaly detection system based on visual monitoring of the power grid is provided with an anomaly detection system 3, and uses an anomaly detection module 34 to perform real-time analysis on the collected data, and compares the current data with the standard data under normal operating conditions or the historical data in the database. If it is found that the data has abnormal fluctuations or exceeds the normal range, the fault feature analysis unit 343 will identify the anomaly, and then the fault location unit 342 will determine the specific location of the fault, and the fault alarm unit 346 will issue an alarm to notify relevant personnel to deal with the fault in time, so that the power company can manage and maintain the power grid more efficiently and intelligently, and ensure the safe and stable operation of the power system.

[0033] In the embodiment of the present invention, the visualization management terminal 1 includes a data acquisition module 11, a data processing module 12, a data conversion module 13, a data integration module 14, a data imaging module 15, a visualization display module 16, an abnormality display module 17, a fault warning module 18 and an adjustment control module 19.

[0034] In the embodiment of the present invention, the output end of the data acquisition module 11 is connected to the input end of the data processing module 12, the output end of the data processing module 12 is connected to the input end of the data conversion module 13, the output end of the data conversion module 13 is connected to the input end of the data conversion module 13, the output end of the data conversion module 13 is connected to the input end of the data integration module 14, and the output end of the data integration module 14 is connected to the input end of the data imaging module 15.

[0035] In the embodiment of the present invention, the output end of the data imaging module 15 is connected to the input end of the visualization display module 16, the output end of the visualization display module 16 is connected to the input end of the abnormal display module 17, the output end of the abnormal display module 17 is connected to the input end of the fault warning module 18, and the output end of the fault warning module 18 is connected to the input end of the adjustment control module 19.

[0036] The anomaly detection system based on visual monitoring of the power grid is provided with a visual management terminal 1 to process, transform, integrate and image the collected data, and transform these data into visual graphics or charts through a visual display module 16, so that management personnel can understand the real-time operation status of the power grid more intuitively, and when there is an abnormal fault in the power grid area, they can also understand the specific location of the fault at the first time and deal with it at the first time.

[0037] In the embodiment of the present invention, the real-time monitoring system 2 includes a real-time monitoring module 21 , a data acquisition module 22 , a data preprocessing module 23 , a data transmission module 24 and a data storage module 25 .

[0038] In the embodiment of the present invention, the output end of the real-time monitoring module 21 is connected to the input end of the data acquisition module 22, the output end of the data acquisition module 22 is connected to the input end of the data preprocessing module 23, the output end of the data preprocessing module 23 is connected to the input end of the data transmission module 24, and the output end of the data preprocessing module 23 is connected to the input end of the data storage module 25.

[0039] The anomaly detection system based on visual monitoring of the power grid is provided with a real-time monitoring system 2, which continuously collects data from various devices and nodes of the power grid using a real-time monitoring module 21 and a data acquisition module 22, and pre-processes the data through a data pre-processing module 23, including data cleaning, formatting and normalization, to ensure the quality and consistency of the data.

[0040] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0041] When working, firstly, the real-time monitoring module 21 and the data acquisition module 22 in the real-time monitoring system 2 are used to collect various data of the key nodes of the power grid, including: current, voltage, frequency, temperature and humidity data, and then the data preprocessing module 23 is used to clean, format and normalize the data to ensure the quality and consistency of the data, and then the collected data is stored through the data storage module 25, and the preprocessed data is transmitted to the abnormal detection system 3 and the visual management terminal 1 through the data transmission module 24;

[0042] The abnormality detection system 3 analyzes the pre-processed data and compares it with the data in the original database, and then analyzes the collected data in real time through the abnormality detection module 34, and compares the current data with the standard data under normal operating conditions or the historical data in the database. If it is found that the data has abnormal fluctuations or exceeds the normal range, the fault feature analysis unit 343 will identify the abnormality, and then the fault location unit 342 will determine the specific location of the fault, and the fault alarm unit 346 will issue an alarm to notify relevant personnel to deal with the fault in time. When the abnormal fault problem is within the set threshold, the protection self-check unit 344 will automatically start and protect the power grid area. If the abnormal fault problem exceeds or falls below the set threshold, the power outage detection unit 345 may be triggered at this time to power off the power grid area to avoid more serious dangers. At the same time, when the fault alarm unit 346 issues an alarm, the fault instruction generation module 35 and the fault instruction sending module 36 will send the abnormal fault information data to the visual management terminal 1;

[0043] In daily work, the visualization management terminal 1 will process, transform, integrate and image the data transmitted by the real-time monitoring system 2, and finally display it through the visualization display module 16, so that the management personnel can monitor the power grid situation in real time. When the fault information data is sent to the visualization management terminal 1, when the data is visualized, the abnormal display module 17 will be triggered. The abnormal display module 17 will synchronously display the location and situation of the abnormal fault information data on the monitoring screen, and issue a warning through the fault warning module 18, and notify the management personnel through sound, pop-up windows, text messages, etc., so that the management personnel can understand the abnormal situation at the first time, arrange corresponding technical personnel to deal with it, and perform remote control through the adjustment control module 19.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An anomaly detection system based on visual monitoring of a power grid, comprising a visual management terminal (1), a real-time monitoring system (2) and an anomaly detection system (3), wherein the visual management terminal (1) and the real-time monitoring system (2) are bidirectionally connected, the real-time monitoring system (2) and the anomaly detection system (3) are bidirectionally connected, and the visual management terminal (1) and the anomaly detection system (3) are bidirectionally connected, characterized in that: The abnormality detection system (3) comprises a data receiving module (31), a data analysis module (32), a data comparison module (33), an abnormality detection module (34), a fault instruction generation module (35) and a fault instruction sending module (36); The abnormality detection module (34) comprises a fault determination unit (341), a fault location unit (342), a fault characteristic analysis unit (343), a protection self-checking unit (344), a power failure detection unit (345) and a fault alarm unit (346); the output end of the fault determination unit (341) is connected to the input end of the fault location unit (342); the output end of the fault location unit (342) is connected to the input end of the fault characteristic analysis unit (343); the output end of the fault characteristic analysis unit (343) is connected to the input end of the protection self-checking unit (344); the output end of the fault characteristic analysis unit (343) is connected to the input end of the power failure detection unit (345); the output end of the protection self-checking unit (344) is connected to the input end of the fault alarm unit (346); and the output end of the power failure detection unit (345) is connected to the input end of the fault alarm unit (346).

2. The anomaly detection system based on visual monitoring of a power grid according to claim 1 is characterized in that: The output end of the data receiving module (31) is connected to the input end of the data analysis module (32), the output end of the data analysis module (32) is connected to the input end of the data comparison module (33), and the output end of the data comparison module (33) is connected to the input end of the abnormality detection module (34).

3. The anomaly detection system based on visual monitoring of power grid according to claim 1 is characterized in that: The output end of the abnormality detection module (34) is connected to the input end of the fault instruction generation module (35), and the output end of the fault instruction generation module (35) is connected to the input end of the fault instruction sending module (36).

4. The anomaly detection system based on visual monitoring of power grid according to claim 1 is characterized in that: The visual management terminal (1) comprises a data acquisition module (11), a data processing module (12), a data conversion module (13), a data integration module (14), a data imaging module (15), a visual display module (16), an abnormality display module (17), a fault warning module (18) and an adjustment control module (19).

5. The anomaly detection system based on visual monitoring of power grid according to claim 4 is characterized in that: The output end of the data acquisition module (11) is connected to the input end of the data processing module (12), the output end of the data processing module (12) is connected to the input end of the data conversion module (13), the output end of the data conversion module (13) is connected to the input end of the data conversion module (13), the output end of the data conversion module (13) is connected to the input end of the data integration module (14), and the output end of the data integration module (14) is connected to the input end of the data imaging module (15).

6. The abnormality detection system based on visual monitoring of power grid according to claim 4 is characterized by: The output end of the data imaging module (15) is connected to the input end of the visualization display module (16), the output end of the visualization display module (16) is connected to the input end of the abnormality display module (17), the output end of the abnormality display module (17) is connected to the input end of the fault warning module (18), and the output end of the fault warning module (18) is connected to the input end of the adjustment control module (19).

7. The anomaly detection system based on visual monitoring of power grid according to claim 1 is characterized by: The real-time monitoring system (2) comprises a real-time monitoring module (21), a data acquisition module (22), a data preprocessing module (23), a data transmission module (24) and a data storage module (25).

8. The abnormality detection system based on visual monitoring of power grid according to claim 7 is characterized in that: The output end of the real-time monitoring module (21) is connected to the input end of the data acquisition module (22), the output end of the data acquisition module (22) is connected to the input end of the data preprocessing module (23), the output end of the data preprocessing module (23) is connected to the input end of the data transmission module (24), and the output end of the data preprocessing module (23) is connected to the input end of the data storage module (25).

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