Intelligent power equipment detection system and method

Abstract

The invention relates to an intelligent power equipment detection system and method, and belongs to the field of intelligent power equipment detection, the intelligent power equipment detection system comprises a data acquisition module and a data processing and analysis module, the data acquisition module is used for acquiring data of a monitoring object monitored by a state monitoring module in detected intelligent power equipment through a newly added sensor; the data processing and analysis module gives a system diagnosis result by adopting the same logic as that of the fault diagnosis module in the detected intelligent power equipment according to the data of the monitored object obtained by the data acquisition module; and comparing the system diagnosis result with an equipment diagnosis result given by a fault diagnosis module in the detected intelligent power equipment based on the corresponding monitoring object, and if the system diagnosis result is consistent with the equipment diagnosis result, determining that the fault diagnosis function of the intelligent power equipment is normal. And the problem of failure report failure or false report caused by unqualified state monitoring and fault diagnosis functions of the intelligent power equipment is avoided.

Description

Technical Field

[0001] The invention relates to an intelligent power equipment detection system and method, and belongs to the field of intelligent power equipment detection. Background Art

[0002] With the continuous development of smart grid construction, smart power equipment has been widely used and played an important role. However, in the process of field application, some smart power equipment often has adverse phenomena such as false alarm and missed alarm of faults, which has caused great trouble to users. The reason is that most manufacturers are still in the primary stage of testing smart power equipment, that is, the power equipment body and the modules with monitoring and diagnosis functions that constitute the smart power equipment are considered qualified after being assembled after passing the test, and the installation position and reliability of the monitoring module may cause the obtained monitoring data to be inconsistent with the actual data of the monitored object, resulting in misdiagnosis or missed diagnosis of smart power equipment faults; second, although some manufacturers have conducted joint debugging tests on smart power equipment, such joint debugging tests are often tested under no-load conditions, and the real detection environment under the actual operating conditions of smart power equipment cannot be obtained. There are some monitoring functions that cannot be verified and the fault diagnosis function cannot be verified; third, during use, the monitoring module or the diagnosis module itself may fail, resulting in false alarm or missed alarm of faults.

[0003] The Chinese patent document with publication number CN115208061A discloses an automatic maintenance device and method for electric power equipment, including a central processing module, a system operation detection module, an information feedback receiving module, a data acquisition module, a fault identification and diagnosis module, a monitoring module and a data storage library. The central processing module is used to process, receive and issue system operation instructions, and is also used to receive diagnostic information of electric power equipment; the Chinese patent document with publication number CN117607531A discloses a substation DC system fault detection system and a troubleshooting method thereof, including a data acquisition module, a data processing and analysis module, a fault diagnosis module, a predictive maintenance module, an intelligent decision support module, a fault location auxiliary module and a maintenance and testing module. The present invention realizes early pre-interference processing, roughly responds to fault problems, improves the probability and effect of fault detection and repair, and The intelligent decision support module introduces an expert system and a rule base before completing the complete result diagnosis based on the status of the DC system and the preliminary results of the fault diagnosis, and an intelligent decision-making fault maintenance method generates personalized maintenance plans and test plans according to the specific situation, and provides detailed decision-making basis; the Chinese patent document with publication number CN118013333A discloses a prototype system and method for fault analysis of substation equipment, including a data preparation module, a data acquisition module, a deep neural network module, a multi-physical field model module, a fault type identification module, a fault sample generation module and a fault situation deduction module. Its fault diagnosis method is to first retrieve the corresponding fault type based on the online detection data of the substation equipment collected by the data acquisition module, and then call the deep neural network model of the substation equipment, input the collected data into the deep neural network model, and obtain the fault type through reasoning.

[0004] Although the above patent documents disclose methods for data collection, data processing and analysis, fault identification and fault diagnosis in power equipment, they cannot confirm whether the fault diagnosis function of the intelligent power equipment itself is qualified, and cannot avoid the problem of missed faults or false alarms caused by this. Summary of the invention

[0005] The purpose of the present invention is to provide a smart power equipment detection system and method to solve the problem of fault omission or false alarm caused by unqualified state monitoring and fault diagnosis functions of smart power equipment.

[0006] To achieve the above object, the solution of the present invention includes: A smart power equipment detection method of the present invention includes the following smart power equipment detection steps, wherein data of a monitoring object monitored by a status monitoring module in the detected smart power equipment is collected through a newly added sensor; based on the collected data of the monitoring object, a system diagnosis result is given using the same logic as that of a fault diagnosis module in the detected smart power equipment, and the system diagnosis result is compared with an equipment diagnosis result given by the fault diagnosis module in the detected smart power equipment based on the corresponding monitoring object. If they are consistent, the fault diagnosis function of the smart power equipment is normal.

[0007] Furthermore, after providing different working conditions for the detected intelligent power equipment, the detection step of the intelligent power equipment is performed.

[0008] Furthermore, the newly added sensor is installed at the same position as the sensor that monitors the corresponding monitoring object in the detected intelligent power device.

[0009] Furthermore, the data of the monitored object acquired through the newly added sensor is compared with the data acquired by the status monitoring module in the detected smart power device. If they are consistent, the status monitoring function of the smart power device is normal.

[0010] An intelligent power equipment detection system of the present invention includes a data acquisition module and a data processing and analysis module. The data acquisition module is used to collect data of a monitoring object monitored by a status monitoring module in the detected intelligent power equipment through a newly added sensor; the data processing and analysis module gives a system diagnosis result based on the data of the monitoring object obtained by the data acquisition module, using the same logic as that of the fault diagnosis module in the detected intelligent power equipment, and compares the system diagnosis result with the equipment diagnosis result given by the fault diagnosis module in the detected intelligent power equipment based on the corresponding monitoring object. If they are consistent, the fault diagnosis function of the intelligent power equipment is normal.

[0011] Furthermore, it also includes a main control module and an execution module, wherein the main control module is used to control the execution module to provide different working conditions for the detected smart power device so as to detect the smart power device.

[0012] Furthermore, the newly added sensor is installed at the same position as the sensor that monitors the corresponding monitoring object in the detected intelligent power device.

[0013] Furthermore, the data processing and analysis module compares the data of the monitoring object obtained by the data acquisition module with the data obtained by the status monitoring module in the detected smart power device. If they are consistent, the status monitoring function of the smart power device is normal.

[0014] The beneficial effects of the present invention are: The present invention is a pioneering invention. The data acquisition module in the intelligent power equipment detection system of the present invention collects data of the monitoring object monitored by the status monitoring module in the detected intelligent power equipment through the newly added sensor, and the main control module controls the execution module to provide different working conditions. After the intelligent power equipment detection system collects data through the data acquisition module, it will also compare with the data collected by the status module of the intelligent power equipment itself. The fault diagnosis result of the data processing and analysis module of the detection system will also be compared with the fault diagnosis result of the fault diagnosis module of the intelligent power equipment itself, to determine whether the status monitoring and fault diagnosis functions of the intelligent power equipment are qualified, and to ensure the accuracy of the status monitoring and fault diagnosis of the intelligent power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is the structural block diagram of the intelligent power equipment detection system; Figure 2 It is a logic block diagram of the intelligent power equipment detection method.

[0016] The figure includes: an intelligent power equipment detection system 1; a main control module 11; an execution module 12; a data acquisition module 13; a data processing and analysis module 14; an intelligent power equipment 2; a state monitoring module 21; and a fault diagnosis module 22. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0018] The idea of ​​the present invention is that the data acquisition module in the intelligent power equipment detection system collects data of the monitoring object monitored by the status monitoring module in the detected intelligent power equipment through the newly added sensors, and the main control module controls the execution module to create abnormal working conditions (such as high temperature or large current). After the intelligent power equipment detection system collects such abnormal working conditions through the data acquisition module, it will also compare with the data collected by the status module of the intelligent power equipment itself. The fault diagnosis results of the data processing and analysis module of the detection system will also be compared with the fault diagnosis results of the fault diagnosis module of the intelligent power equipment itself to determine whether the status monitoring and fault diagnosis functions of the intelligent power equipment are qualified.

[0019] like Figure 1As shown, an intelligent power equipment detection system 1 of the present invention includes a main control module 11, an execution module 12, a data acquisition module 13, and a data processing and analysis module 14; the state monitoring module 21 and the fault diagnosis module 22 refer to the parts of the intelligent power equipment 2 itself. Among them, the intelligent power equipment 2 as the device under test can be a device in the intelligent circuit breaker, intelligent switch cabinet, intelligent inflatable cabinet, intelligent transformer, or a combination of the above devices, or other power equipment in the power grid system, and the monitoring object can be one or more of the temperature of the electrical connection of the power equipment, the mechanical characteristics of the main switch, and partial discharge.

[0020] The main control module 11 controls the execution module 12 to provide different working conditions (normal working conditions and fault working conditions) monitoring conditions for the intelligent power device 2; The data acquisition module 13 is used to collect and transmit monitoring data of the intelligent power device 2, wherein the sensor corresponding to the data acquisition module 13 and the sensor corresponding to the status monitoring module 21 in the intelligent power device 2 are installed at the same position, and the sensor corresponding to the data acquisition module 13 can be a part of the data acquisition module 13, or can be connected to the data acquisition module 13 through a wire outside the data acquisition module 13, and data acquisition is to re-collect data at the data acquisition point of the intelligent power device 2 itself; The data processing and analysis module 14 is used to receive the data transmitted by the data acquisition module 13 and analyze the received data, compare the data collected by the data acquisition module 13 and the data collected by the status monitoring module 21, and give a fault diagnosis result based on the data collected by the data acquisition module 13, and then compare it with the fault diagnosis result given by the fault diagnosis module 22 of the smart power device 2 itself, and give a conclusion on whether the status monitoring and fault diagnosis functions of the smart power device 2 are qualified.

[0021] like Figure 2 As shown, a smart power equipment detection method of the present invention comprises the following steps: (1) Confirming that the installation of the state monitoring module 21 of the intelligent power device 2 and the data acquisition module 13 of the detection system can ensure the reliable completion of the state monitoring and fault diagnosis functions of the intelligent power device 2; (2) During the normal working condition test (i.e., the main control module 11 controls the execution module 12 to provide normal working condition detection conditions), the state monitoring module 21 of the intelligent power device 2 itself collects corresponding data and transmits it to the fault diagnosis module 22. The data processing and analysis module 14 can also receive the corresponding data collected by the state monitoring module 21 through the fault diagnosis module 22, and then the fault diagnosis module 22 gives the diagnosis result and transmits it to the data processing and analysis module 14. In addition, the data acquisition module 13 also collects corresponding data at the same time and transmits it to the data analysis processing and analysis module 14; (3) The data analysis processing and analysis module 14 compares the data collected by the data acquisition module 13 and the data collected by the status monitoring module 21, and gives a fault diagnosis result based on the data collected by the data acquisition module 13, and then compares it with the fault diagnosis result given by the fault diagnosis module 22 of the intelligent power device 2 itself; (4) If the data collected by the data acquisition module 13 and the data collected by the state monitoring module 21 are inconsistent, the state monitoring function of the intelligent power device 2 is considered to be unqualified; if the diagnosis result of the data analysis and processing module 14 is inconsistent with the diagnosis result of the fault diagnosis module 22, the fault diagnosis function of the intelligent power device 2 is considered to be unqualified; (5) If the comparison results in step (4) are consistent, a fault condition test is performed (i.e., the main control module 11 controls the execution module 12 to provide fault condition detection conditions); (6) The state monitoring module 21 of the intelligent power equipment 2 collects the corresponding data, and then the fault diagnosis module 22 gives the diagnosis result. In addition, the data acquisition module 13 also collects the corresponding data and transmits it to the data analysis processing and analysis module 14; (7) Repeat steps (3) and (4).

[0022] Specifically, for example, the intelligent power equipment 2 is an intelligent gas filling cabinet, and one or more combined states such as the temperature rise of the electrical connection point of the intelligent gas filling cabinet, the main circuit current, and partial discharge (hereinafter referred to as the intelligent gas filling cabinet state) are monitored, and corresponding state monitoring modules 21 and fault diagnosis modules 22 are configured. That is, the intelligent gas filling cabinet itself will collect and diagnose faults of the intelligent gas filling cabinet state data under the detection conditions. The data acquisition module 13 of this detection system should at least cover the data acquisition function corresponding to the state of the intelligent gas filling cabinet. Before testing the state monitoring and fault diagnosis functions of the intelligent gas filling cabinet, the sensors corresponding to the data acquisition module 13 of the detection system and the sensors corresponding to the intelligent gas filling cabinet state monitoring module 21 are installed at the same measured point one by one, for the collection and transmission of the intelligent gas filling cabinet state data. The detection system main control module 11 controls the execution module 12 to provide the intelligent inflatable cabinet with normal operating condition detection conditions. The intelligent inflatable cabinet state monitoring module 21 and the detection system data acquisition module 13 simultaneously collect the intelligent inflatable cabinet state data. The detection system data processing and analysis module 14 can obtain the data collected by the state monitoring module 21 and the data acquisition module 13 respectively, and process, analyze and compare them, and give a detection conclusion on whether the state monitoring function of the intelligent inflatable cabinet is qualified; the detection system data processing and analysis module 14 processes, analyzes and compares the intelligent inflatable cabinet state data sent by the detection system data acquisition module 13. After analysis, the intelligent inflatable cabinet fault diagnosis result is given; the intelligent inflatable cabinet state monitoring module 21 sends the collected state data to the intelligent inflatable cabinet fault diagnosis module 22, and after processing and analysis, the intelligent inflatable cabinet fault diagnosis module 22 gives the intelligent inflatable cabinet fault diagnosis result, and sends it to the detection system data processing and analysis module 14; the detection system data processing and analysis module 14 analyzes and compares it with the fault diagnosis result given by the intelligent inflatable cabinet state data collected by the detection system data acquisition module 13, and gives a detection conclusion on whether the intelligent inflatable cabinet fault diagnosis function is qualified. The detection system main control module 11 controls the execution module 12 to provide the intelligent inflatable cabinet with fault operating condition detection conditions, and the detection method is the same as that under normal operating condition detection conditions.

[0023] For example, the smart power equipment 2 is a smart distribution cabinet. The status monitoring module 21 and the fault diagnosis module 22 of the smart distribution cabinet itself will collect temperature data and perform corresponding fault diagnosis and transmit the data and diagnosis results to the data processing and analysis module 14. A temperature sensor is added to the position where the temperature sensor is installed in the smart distribution cabinet. The temperature data of the newly added temperature sensor is collected by the data acquisition module 13 and transmitted to the data processing and analysis module 14. The data processing and analysis module 14 will compare the temperature data transmitted by the data acquisition module 13 with the temperature data collected by the status monitoring module 21. At the same time, the data processing and analysis module 14 will perform corresponding fault diagnosis to obtain a diagnosis result, and then compare the diagnosis result with the result of the fault diagnosis of the smart distribution cabinet itself, and finally draw a detection conclusion on whether the temperature monitoring and corresponding fault diagnosis functions of the smart distribution cabinet are qualified.

[0024] In addition, a hot air blower or a temperature control box can also be used to provide normal temperature conditions and abnormal temperature conditions for the intelligent power distribution cabinet. The hot air blower or the temperature control box is connected to the execution module 12 of the detection system and is controlled by the main control module 11. The main control module 11 sends instructions to the execution module 12 to control the hot air blower or the temperature control box to provide normal temperature (i.e., normal working condition) for the intelligent power distribution cabinet, and then performs detection according to the above method to determine whether the functions of the state monitoring module 21 and the fault diagnosis module 22 in the intelligent power distribution cabinet are normal; the main control module 11 sends instructions to the execution module 12 to control the hot air blower or the temperature control box to provide abnormal temperature (i.e., abnormal working condition) for the intelligent power distribution cabinet, and also performs detection according to the above method to determine whether the functions of the state monitoring module 21 and the fault diagnosis module 22 in the intelligent power distribution cabinet are normal.

[0025] For example, the intelligent power equipment 2 is an intelligent circuit breaker. The intelligent circuit breaker itself will collect current data and perform corresponding fault diagnosis and transmit the data and diagnosis results to the data processing and analysis module 14. A current transformer is added at the position where the current transformer is installed on the intelligent circuit breaker. The current data of the newly added current transformer is collected by the data acquisition module 13 and transmitted to the data processing and analysis module 14. The data processing and analysis module 14 will compare the current data transmitted by the data acquisition module 13 with the current data collected by the status monitoring module 21. At the same time, the data processing and analysis module 14 will perform corresponding fault diagnosis to obtain a diagnosis result, and then compare the diagnosis result with the result of the fault diagnosis of the intelligent circuit breaker itself, and finally obtain a detection conclusion on whether the current detection and corresponding fault diagnosis functions of the intelligent circuit breaker are qualified.

[0026] In summary, the intelligent power equipment detection system can provide different working conditions for detection, detect the state monitoring and fault diagnosis functions of the intelligent power equipment and give a conclusion on whether the detection is qualified, thereby ensuring the accuracy of the state monitoring and fault diagnosis of the intelligent power equipment.

Claims

1. A method for detecting intelligent power equipment, characterized in that: The method comprises the following steps of detecting the smart power equipment: collecting data of the monitoring object monitored by the status monitoring module in the detected smart power equipment through the newly added sensors; giving the system diagnosis result according to the collected monitoring object data by adopting the same logic as the fault diagnosis module in the detected smart power equipment, and comparing the system diagnosis result with the equipment diagnosis result given by the fault diagnosis module in the detected smart power equipment based on the corresponding monitoring object; if they are consistent, the fault diagnosis function of the smart power equipment is normal.

2. The intelligent power equipment detection method according to claim 1, characterized in that: The detection steps of the intelligent power equipment are also performed after providing different working conditions for the detected intelligent power equipment.

3. The intelligent power equipment detection method according to claim 1, characterized in that: The newly added sensor is installed at the same position as the sensor that monitors the corresponding monitoring object in the detected intelligent power equipment.

4. The intelligent power equipment detection method according to claim 1, characterized in that: The data of the monitoring object acquired through the newly added sensor is compared with the data acquired by the status monitoring module in the detected smart power device. If they are consistent, the status monitoring function of the smart power device is normal.

5. An intelligent power equipment detection system, characterized in that: It includes a data acquisition module and a data processing and analysis module. The data acquisition module is used to collect data of the monitoring object monitored by the status monitoring module in the detected intelligent power equipment through newly added sensors; the data processing and analysis module gives a system diagnosis result based on the data of the monitoring object obtained by the data acquisition module, using the same logic as the fault diagnosis module in the detected intelligent power equipment, and compares the system diagnosis result with the equipment diagnosis result given by the fault diagnosis module in the detected intelligent power equipment based on the corresponding monitoring object. If they are consistent, the fault diagnosis function of the intelligent power equipment is normal.

6. The intelligent power equipment detection system according to claim 5, characterized in that: It also includes a main control module and an execution module, wherein the main control module is used to control the execution module to provide different working conditions for the detected smart power device so as to detect the smart power device.

7. The intelligent power equipment detection system according to claim 5, characterized in that: The newly added sensor is installed at the same position as the sensor that monitors the corresponding monitoring object in the detected intelligent power equipment.

8. The intelligent power equipment detection system according to claim 5, characterized in that: The data processing and analysis module compares the data of the monitoring object obtained by the data acquisition module with the data obtained by the status monitoring module in the detected intelligent power equipment. If they are consistent, the status monitoring function of the intelligent power equipment is normal.

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