A performance detection system and method for power grid intelligent sensing device

Abstract

The present invention relates to a performance testing system and method for intelligent sensing devices in power grids. The testing system comprises a main testing station and several sub-testing stations. The main testing station comprises a main station workstation, a main station server, a data storage server, a switch, and a secure isolation gateway. The sub-testing stations comprise interconnected performance testing modules and sub-station workstations. The sub-station workstations are connected to the main station server via a secure isolation gateway or switch. The main station server is connected to the main station workstation, and the data storage server is connected to the switch. Compared with existing technologies, the present invention offers advantages such as high accuracy, high efficiency, digitization, and a high degree of integration.

Description

Technical Field

[0001] The present invention relates to a power grid equipment monitoring and instrument calibration technology, and in particular to a power grid intelligent sensing device performance detection system and method. Background Art

[0002] The Energy Internet connects electricity users and their equipment, power grid companies and their equipment, power generation companies and their equipment, suppliers and their equipment, as well as people and objects, generating shared data and serving users, power grids, power generation companies, suppliers, and the government. It consists of a perception layer, a network layer, a platform layer, and an application layer. The perception layer, as the terminal, directly connects to power grid equipment. Its core is intelligent sensing devices, including infrared thermal imaging, various partial discharge monitoring systems, and online oil chromatography monitoring. Their function is to comprehensively perceive the status of power equipment. All data used to calculate and analyze equipment status in the Energy Internet is collected and uploaded by intelligent sensing devices in the perception layer. However, the performance of many current sensing devices varies widely. The power equipment status data collected by these devices is not completely accurate, and signal distortion occurs during transmission. Finally, the power consumption performance of many sensing devices fails to meet certain standards, resulting in a significant waste of manpower and material resources for operation and maintenance, which is not worth the cost. As the primary basis for equipment status inspection and maintenance and the foundation for equipment status assessment and analysis, power grid equipment status monitoring has made significant progress. However, overall, the informationization and intelligence levels of traditional power grid equipment still need to be improved. The level of device status information perception is insufficient, key status information of some equipment cannot be obtained in real time, and the data accuracy and stability of online monitoring systems are insufficient. Existing intelligent monitoring devices or smart sensors for power grid equipment status may often cause inaccurate physical quantity measurement, poor information upload, and poor reliability and stability in actual applications due to immature technology or other technical engineering issues such as design, manufacturing, and debugging. In order to improve the accuracy and reliability of intelligent perception of power grid equipment status and ensure the application effect of intelligent monitoring devices and smart sensors, the performance of the monitoring devices or sensors should be evaluated first, and the main performance indicators and data communication functions of the sensors or devices should be tested and evaluated.

[0003] However, the current status detection device inspection platform has the following problems:

[0004] The test mainly tests the accuracy of the single device status parameter collected by the device, and lacks an integrated test method to fully characterize the performance of all aspects of the device;

[0005] The inspection functions of status detection devices are scattered in different laboratories according to different detection parameters. There is a lack of unified management and performance evaluation of the devices being inspected, which is not conducive to the optimized application and management of intelligent monitoring devices or intelligent sensors. Summary of the Invention

[0006] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a power grid intelligent sensing device performance detection system and method with high accuracy, high efficiency, digitization and high degree of integration.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A power grid intelligent sensing device performance detection system includes a detection main station and several detection substations. The detection main station includes a main station workstation, a main station server, a data storage server, a switch and a security isolation gateway. The detection substation includes interconnected performance inspection modules and substation workstations. The substation workstation is connected to the main station server through a security isolation gateway or a switch. The main station server is connected to the main station workstation, and the data storage server is connected to the switch.

[0009] Furthermore, the performance inspection module includes a standard source, a working environment simulation unit and a status acquisition unit.

[0010] Furthermore, the standard source includes a gas chromatograph, a platinum resistance and an angle meter.

[0011] Furthermore, the working environment simulation unit includes a signal generator, an angle generator, an automatic oil distribution device, a black body furnace and a gas box.

[0012] Furthermore, the state acquisition unit includes an industrial computer and an oscilloscope.

[0013] Furthermore, the detection substations include infrared thermal imaging detection substations, transient ground voltage detection substations, ultrasonic partial discharge detection substations, ultra-high frequency partial discharge detection substations, high frequency partial discharge detection substations, oil chromatography detection substations, gas detection substations, air pressure detection substations, temperature and humidity detection substations, monitoring device power consumption detection substations, smart lock detection substations, battery capacity detection substations and distribution network fault indicator detection substations.

[0014] Furthermore, a firewall is provided between the main site server and the security isolation gateway.

[0015] Furthermore, the master workstation and the sub-workstation both include a computer, an interactive terminal and a printer.

[0016] The present invention also provides a method for detecting the performance of a power grid intelligent sensing device using the detection system described above, characterized in that it includes the following steps:

[0017] The master workstation receives the inspection task instruction and sends it to the sub-station workstation that performs the inspection task;

[0018] The substation workstation obtains the inspection items and the established inspection process in the inspection task, controls the working environment simulation unit to automatically and sequentially simulate the changes in the monitoring state quantity of the inspected intelligent sensing device according to the actual working environment and possible working conditions of the inspected intelligent sensing device, controls the state acquisition unit to collect monitoring data from the inspected intelligent sensing device as inspection data, and controls the standard source to collect the actual state quantity of the working environment simulation unit as standard data;

[0019] The substation workstation transmits the detection data and standard data to the main station workstation;

[0020] The master workstation calls the pre-stored corresponding criterion model according to the type of the intelligent sensing device being tested. The input of the criterion model is the test data of each test item of the intelligent sensing device being tested, the corresponding standard data and the parameter setting of the working environment simulation unit. The output is the performance evaluation result of the device being tested after comprehensively considering the characteristics of each test item and their mutual influence.

[0021] The main station workstation and the sub-station workstation simultaneously display the evaluation results.

[0022] Furthermore, the criterion model is constructed based on a deep convolutional neural network model.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] (1) The present invention sets up a detection main station and several detection substations. The detection main station includes a main station workstation, a main station server, a data storage server, a switch, and a security isolation gateway. The detection substation includes a performance test module, a working environment simulation unit and a substation workstation that are interconnected. The substation workstation is connected to the main station server through a security isolation gateway or a switch, the main station server is connected to the main station workstation, and the data storage server is connected to the switch. The detection substation automatically performs the performance test of the state parameters of various power grid intelligent sensing devices by autonomously controlling the performance test module and the working environment simulation device, and reading the test device and standard source data. The detection main station interacts with the detection substation in real time, collects the test results measured by all detection substations, and comprehensively and integratedly detects the performance of the intelligent sensing device, which is convenient for unified management and performance evaluation of the test device. Based on the above structural composition characteristics, it is possible to realize automatic detection of the entire system performance of the intelligent sensing device from data collection, signal transmission to background processing, and can uniformly upload and manage data scattered in different detection laboratories, providing data support for comprehensive performance multi-source fusion analysis of the integrated sensing device.

[0025] (2) The present invention uses a working environment simulation unit to simulate the changes in the state quantities of the intelligent sensing device, thereby simulating the actual working mode and state of the intelligent sensing device. The state acquisition unit collects the state quantities of the intelligent sensing device as detection data, realizing the plug-and-play of the intelligent sensing device from the verification environment to the on-site operation, and improving the online rate and utility of the device.

[0026] (3) The present invention is equipped with a total of detection substations for completing status monitoring devices such as oil chromatography, infrared temperature measurement, temperature, humidity, atmospheric pressure, gas content, device communication, ultrasonic partial discharge, transient ground voltage, ultra-high frequency partial discharge, high frequency partial discharge, device power consumption, and battery capacity. For various types of devices such as equipment status quantity sensing devices, environmental status quantity sensing devices, and sensing device body performance, the present invention integrates the full-link performance detection functions of sensing including data acquisition, signal transmission, and analysis and processing, and can comprehensively formulate corresponding detection rules for different types of sensing devices, with high accuracy and detection efficiency.

[0027] (4) The present invention is provided with computers, interactive terminals and printers at both the main station workstation and the substation workstation, which can conveniently issue inspection tasks and view equipment information and inspection data at the inspection main station or the inspection substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a structural schematic diagram of the present invention;

[0029] Description of the numbers in the figure:

[0030] 1. Main station workstation, 2. Data storage server, 3. Main station server, 4. Switch, 5. Firewall, 6. Security isolation gateway, 7. Detection substation. DETAILED DESCRIPTION

[0031] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0032] This embodiment provides a power grid intelligent sensing device performance detection system, such as Figure 1As shown, it includes a detection main station and several detection sub-stations 7. The detection main station includes a main station workstation 1, a DELL PowerEdge R740 data storage server 2, a DELL PowerEdge R840 main station server 3, a switch 4 and a security isolation gateway 6. The detection sub-station 7 includes interconnected performance inspection modules and sub-station workstations. The performance inspection module is connected to the main station server 3 through the security isolation gateway 6 or the switch 4, the data storage server 2 is connected to the switch 4, the main station server 3 is connected to the main station workstation 1, and a firewall 5 is provided between the main station server 3 and the security isolation gateway 6.

[0033] Grid intelligent sensing devices are used to monitor the operating status of power equipment, including transformers, switchgear, transmission lines, and cables.

[0034] Both the main station workstation 1 and the branch station workstation include a computer and an interactive terminal and a printer connected to the computer. The performance test module includes a standard source, a working environment simulation unit and a state acquisition unit. The working environment simulation unit includes a signal generator, an angle generator, an automatic oil distribution device, a black body furnace and a gas box. The standard source includes a gas chromatograph, a platinum resistance and an angle meter. The state acquisition unit includes an industrial computer and an oscilloscope.

[0035] The standard source and status acquisition unit are connected to the computer of the branch workstation, the working environment simulation device is connected to the computer of the branch workstation, the interactive terminal of the main workstation 1 receives the detection task instruction, and the computer of the main workstation 1 sends the detection task instruction to the branch workstation computer that executes the detection task. The computer of the branch workstation controls the working environment simulation device according to the actual working environment and possible working conditions of the intelligent sensing device to automatically and sequentially simulate the changes in the monitoring state quantity of the device under inspection, so as to achieve performance assessment of whether the device under inspection can accurately and timely reflect the state changes of the main equipment under complex and harsh working conditions. The control state acquisition unit collects monitoring data from the background output of the intelligent sensing device under inspection as detection data, so as to achieve synchronous assessment of the entire system performance of the sensing device from data acquisition, signal transmission, to background processing. The control standard source collects the actual state quantity of the working environment simulation device as standard data, and transmits the detection data and standard data to the computer of the branch workstation. After receiving the data from the branch workstation, the main workstation 1 starts the artificial intelligence algorithm to independently analyze the verification results. According to the type of intelligent sensing device being tested, the corresponding criterion model in the model database is called. The model has been trained based on a large amount of measured data in the early stage. The model input is the test data of each performance test item of the tested device, the corresponding standard data, the working environment simulation device parameter setting, etc. The output is the performance evaluation result of the tested device after comprehensively considering the characteristics of each test item and the cross-influence of each other, including the pass or fail judgment of a single test item and the scoring result of the comprehensive performance. Both types of results are fed back to the branch workstation. The interactive terminals and printers of the main workstation 1 and the branch workstation respectively display and print the test data and conclusions. In a specific embodiment, the criterion model can be constructed based on a deep convolutional neural network model.

[0036] Detection substation 7 is used to complete 9 types of performance verification, including oil chromatography online monitoring, infrared temperature measurement, temperature and humidity environment monitoring, atmospheric pressure monitoring, intelligent power well cover, communication performance, and intelligent partial discharge monitoring device. Detection substation 7 includes infrared thermal imaging detection substation, transient ground voltage detection substation, ultrasonic partial discharge detection substation, ultra-high frequency partial discharge detection substation, high frequency partial discharge detection substation, oil chromatography detection substation, gas detection substation, air pressure detection substation, temperature and humidity detection substation, monitoring device power consumption detection substation, intelligent lock detection substation, battery capacity detection substation and distribution network fault indicator detection substation.

[0037] Among them, the infrared thermal imaging detection substation, transient ground voltage and ultrasonic partial discharge detection substation and oil chromatography detection substation are connected to the switch 4 by wire, and the gas detection substation, air pressure detection substation, temperature and humidity detection substation, monitoring device power consumption detection substation and opening and closing detection substation are wirelessly connected to the safety isolation gateway 6, so as to realize fully autonomous detection of the performance of all perception links of the above-mentioned sensing devices including data acquisition, signal transmission, analysis and processing, and automatically generate a detection report.

[0038] The data storage server 2 includes a system data unit, a real-time data unit and an unstructured data unit. The system data unit is used to store the archives and structured detection business data of the detected intelligent sensing device. The real-time data unit is used to store the real-time detection data of the detected intelligent sensing device. The unstructured data unit is used to store the unstructured data of the detected intelligent sensing device. The unstructured data includes photos, detection or calibration reports of the intelligent sensing device.

[0039] This embodiment proposes a performance detection system and method for power grid intelligent sensing devices, which can simulate the actual working mode and status of the intelligent sensing devices, carry out all-round performance verification of the intelligent sensing devices, realize plug-and-play of the sensing devices from the verification environment to on-site operation, improve the quality and effectiveness of the devices, integrate multi-dimensional device performance detection functions, and formulate different detection rules for different types of devices, so as to facilitate unified management and performance evaluation of intelligent sensing devices, and benefit the optimized application and management of intelligent monitoring devices or intelligent sensors.

[0040] The above describes in detail the preferred embodiments of the present invention. It should be understood that those skilled in the art can make numerous modifications and variations based on the concepts of the present invention without inventive effort. Therefore, any technical solutions that can be derived by those skilled in the art through logical analysis, reasoning, or limited experimentation based on the concepts of the present invention and the prior art should be within the scope of protection defined by the claims.

Claims

1. A method for detecting the performance of a power grid intelligent sensing device, characterized in that: The method is applied to a performance detection system for an intelligent sensing device of a power grid, which includes a detection main station and several detection substations. The detection main station includes a main station workstation, a main station server, a data storage server, a switch, and a security isolation gateway. The detection substations include interconnected performance inspection modules and substation workstations. The substation workstations are connected to the main station server via a security isolation gateway or a switch. The main station server is connected to the main station workstation, and the data storage server is connected to the switch. The performance inspection module includes a standard source, a working environment simulation unit and a status acquisition unit; The method comprises the following steps: The master workstation receives the inspection task instruction and sends it to the sub-station workstation that performs the inspection task; The substation workstation obtains the inspection items and the established inspection process in the inspection task, controls the working environment simulation unit to automatically and sequentially simulate the changes in the monitoring state quantity of the inspected intelligent sensing device according to the actual working environment and possible working conditions of the inspected intelligent sensing device, controls the state acquisition unit to collect monitoring data from the inspected intelligent sensing device as inspection data, and controls the standard source to collect the actual state quantity of the working environment simulation unit as standard data; The substation workstation transmits the detection data and standard data to the main station workstation; The master workstation calls the pre-stored corresponding criterion model according to the type of the intelligent sensing device being tested. The input of the criterion model is the test data of each test item of the intelligent sensing device being tested, the corresponding standard data and the parameter setting of the working environment simulation unit. The output is the performance evaluation result of the device being tested after comprehensively considering the characteristics of each test item and their mutual influence. The main station workstation and the sub-station workstation simultaneously display the evaluation results.

2. The method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The criterion model is constructed based on a deep convolutional neural network model.

3. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The standard source includes a gas chromatograph, a platinum resistance and an angle meter.

4. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The working environment simulation unit includes a signal generator, an angle generator, an automatic oil distribution device, a black body furnace and a gas box.

5. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The state acquisition unit includes an industrial computer and an oscilloscope.

6. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The detection substations include infrared thermal imaging detection substation, transient ground voltage detection substation, ultrasonic partial discharge detection substation, ultra-high frequency partial discharge detection substation, high frequency partial discharge detection substation, oil chromatography detection substation, gas detection substation, air pressure detection substation, temperature and humidity detection substation, monitoring device power consumption detection substation, smart lock detection substation, battery capacity detection substation and distribution network fault indicator detection substation.

7. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: A firewall is provided between the main station server and the security isolation gateway.

8. A method for detecting performance of a power grid intelligent sensing device according to claim 1, characterized in that: The master workstation and the sub-workstation both include computers, interactive terminals and printers.

9. A detection system using the power grid intelligent sensing device performance detection method according to any one of claims 1 to 8, characterized in that: It includes a detection main station and several detection sub-stations. The detection main station includes a main station workstation, a main station server, a data storage server, a switch and a security isolation gateway. The detection sub-station includes interconnected performance inspection modules and sub-station workstations. The sub-station workstation is connected to the main station server through a security isolation gateway or switch, the main station server is connected to the main station workstation, and the data storage server is connected to the switch.

Images