GIL tubular bus operation condition real-time monitoring system and method based on multi-mode sensing and digital twinning

Abstract

The invention relates to the technical field of GIL tubular bus operation condition monitoring, in particular to a GIL tubular bus operation condition real-time monitoring system and method based on multi-mode sensing and digital twinning. Comprising the following steps: acquiring a discharge state parameter in operation of the GIL tubular bus; obtaining mechanical state parameters in operation of the GIL tubular bus; acquiring gas state parameters in operation of the GIL tubular bus; acquiring temperature field state parameters in operation of the GIL tubular bus; the real-time intelligent monitoring system for the operation condition of the GIL tubular bus is established, online monitoring, evaluation, state analysis, fault diagnosis and early warning and service life prediction of the operation condition of the GIL tubular bus equipment are realized, and visual display and operation and maintenance decision support are provided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of GIL pipe mother operation condition monitoring, in particular to a GIL pipe mother operation condition real-time monitoring system and method based on multi-modal sensing and digital twinning. BACKGROUND

[0002] Gas insulated metal enclosed transmission line (GIL) is an important equipment for high-voltage and large-capacity power transmission. The sudden failure of GIL pipe mother equipment leads to unplanned shutdown of equipment and loss of load, increasing economic losses. The reliability of GIL pipe mother equipment directly affects the safety of the power grid. In the operation of GIL pipe mother equipment, due to poor welding and casting process of the three-column insulator, cracks are generated at the welding points, and local discharge is generated at the casting gaps, resulting in deterioration of the main insulation and causing faults. In addition, internal metal particles and surface burrs can also cause local discharge and have adverse effects on the internal electric field of GIL.

[0003] Currently, the existence of latent defects in GIL pipe mother equipment during operation is analyzed mainly through offline partial discharge testing, online partial discharge testing, SF6 gas component testing, electrical preventive testing, etc. These analysis methods have the problems of single technical route, low effectiveness, and low data accuracy, and cannot effectively evaluate the operation condition of GIL pipe mother equipment in real time. At present, the operation condition of power equipment is analyzed continuously by a single technical route and a large number of manual methods, which cannot meet the needs of the digital and intelligent construction of the substation / converter station. There are obvious problems such as weak intelligent monitoring of the operation condition and potential defects of the equipment, single diagnosis method of equipment failure, and low operation and maintenance level, which is not conducive to the stable operation of the power grid system and the construction of the digital power grid. SUMMARY

[0004] In order to make up for the shortcomings of the prior art, the present application provides a GIL pipe mother operation condition real-time monitoring system and method based on multi-modal sensing and digital twinning. By fusing multi-modal sensing data such as discharge state parameters, mechanical state parameters, gas state parameters, and temperature field parameters in the operation of GIL pipe mother equipment, and through digital means such as data preprocessing, feature parameter extraction, and fault data model identification, combined with big data storage and management, a GIL pipe mother operation condition real-time intelligent monitoring system is built to realize online monitoring and evaluation of the operation condition of GIL pipe mother equipment, carry out state analysis, fault diagnosis and warning, and life prediction, and provide visual display and operation and maintenance decision support.

[0005] The technical solution adopted by the present application to solve its technical problems is: a GIL pipe mother operation condition real-time monitoring method based on multi-modal sensing and digital twinning, which is applicable to a GIL pipe mother operation condition real-time monitoring system based on multi-modal sensing and digital twinning, and includes the following steps: S1: Obtain a discharge state parameter in the operation of the GIL pipe mother; S2: Obtain a mechanical state parameter in the operation of the GIL pipe mother; S3: Obtain a gas state parameter in the operation of the GIL pipe mother; S4: Obtain a temperature field state parameter in the operation of the GIL pipe mother; S5: Obtain factory test data and preventive test data under normal operation conditions of the GIL pipe mother, form a standard data model, and establish a fault data model based on the standard data model under the normal operation conditions of the GIL pipe mother, and preset the standard data model and the fault data model in the intelligent analysis platform; S6: Preprocess and extract feature parameters of the discharge state parameter, the mechanical state parameter, the gas state parameter and the temperature field state parameter in the operation of the GIL pipe mother, obtain a measured data model, compare and analyze the measured data model with the standard data model, and obtain comparison result data; S7: Determine whether the GIL pipe mother is normal based on the comparison result data, if not, compare the measured data model with the fault data model, determine the fault type and severity, and give the GIL pipe mother state evaluation result, fault decomposition, early warning information and operation and maintenance suggestion based on the intelligent analysis platform, and build a visual display board or device model by using an enterprise-level operation monitoring platform under a cloud analysis platform, to realize centralized online monitoring and evaluation of the operation conditions of the GIL pipe mother.

[0006] Preferably, in step S1, obtaining the discharge state parameter in the operation of the GIL pipe mother includes obtaining an electromagnetic wave signal inside the GIL pipe mother during abnormal discharge by using a built-in passive UHF sensor, and obtaining partial discharge signal information in the operation of the GIL pipe mother.

[0007] Preferably, in step S1, obtaining the discharge state parameter in the operation of the GIL pipe mother includes obtaining an ultrasonic wave signal transmitted to the wall inside the GIL pipe mother during abnormal discharge by using an external ultrasonic sensor, and obtaining partial discharge signal information in the operation of the GIL pipe mother.

[0008] Preferably, in step S2, obtaining the mechanical state parameter in the operation of the GIL pipe mother includes measuring the mechanical deformation state of the GIL pipe mother in operation by using a deformation sensor, and obtaining the mechanical deformation condition of the GIL pipe mother in operation.

[0009] Preferably, in step S3, obtaining the gas state parameter in the operation of the GIL pipe mother includes monitoring the pressure of SF6 inside the GIL pipe mother in operation by using an SF6 pressure gauge, and the monitoring range is 0-1 MPa.

[0010] Preferably, in step S3, acquiring the gas state parameter in the GIL pipe mother operation includes on-line monitoring of the humidity and decomposition product gas content inside the GIL pipe mother through an SF6 electrochemical sensor.

[0011] Preferably, in step S4, acquiring the temperature field state parameter in the GIL pipe mother operation includes monitoring the abnormal temperature rise or temperature difference of the GIL pipe mother in operation in an infrared inspection manner through an intelligent inspection robot.

[0012] Preferably, in step S5, the standard data model includes factory test data such as GIL pipe mother insulation performance test, partial discharge test, moisture content test, expansion joint test, temperature rise test, and preventive test data such as insulation performance test, partial discharge test, moisture and decomposition test, and infrared inspection under normal operation conditions.

[0013] Preferably, in step S6, the measured data model includes GIL pipe mother operation partial discharge data, SF6 micro water content and decomposition data, expansion joint deformation data, and infrared temperature measurement data.

[0014] A GIL pipe mother operation condition real-time monitoring system based on multi-modal sensing and digital twinning includes a multi-modal sensing layer, a data processing layer, a digital twin, and a cloud analysis platform, wherein: The multi-modal sensing layer is used for partial discharge monitoring, vibration deformation monitoring, SF6 gas state monitoring, and temperature field monitoring of the GIL pipe mother in operation; The data processing layer is used for establishing a standard data model and measured data processing; The digital twin is used for establishing a fault data model, comparing and analyzing measured data and standard data, and presetting equipment operation and maintenance requirements and abnormal state disposal strategies; The cloud analysis platform is used for connecting related application data to an enterprise-level operation monitoring platform to realize visual display.

[0015] The beneficial effects of the present application are as follows: The GIL pipe mother operation condition real-time monitoring system and method based on multi-modal sensing and digital twinning provided by the present application fuses multi-modal sensing data such as discharge state parameters, mechanical state parameters, gas state parameters, and temperature field parameters in the GIL pipe mother operation, and through digital means such as data preprocessing, feature parameter extraction, and fault data model identification, combined with big data storage and management, a GIL pipe mother operation condition real-time intelligent monitoring system is built to realize on-line monitoring and evaluation of the GIL pipe mother equipment operation condition, carry out state analysis, fault diagnosis and early warning, and life prediction, and provide visual display and operation and maintenance decision support. BRIEF DESCRIPTION OF DRAWINGS

[0016] The present application will be further described below in combination with the drawings and embodiments.

[0017] Figure 1 is a system structure diagram of the present application; DETAILED DESCRIPTION

[0018] In order to make the technical means, creative features, purposes and effects of the present application easy to understand, the present application will be further described below in conjunction with specific embodiments.

[0019] As shown in Figure 1 The present application first provides a GIL pipe mother operation condition real-time monitoring system based on multi-modal sensing and digital twinning, which comprises a multi-modal sensing layer, a data processing layer, a digital twin and a cloud analysis platform. When the GIL pipe mother is running, in the multi-modal sensing layer, a combination of built-in passive UHF sensors and external ultrasonic sensors is used to realize partial discharge monitoring, a deformation sensor is used to measure the position change between the GIL pipe mother and the support to realize partial discharge monitoring, SF6 pressure gauges and SF6 electrochemical sensors are used to monitor pressure, humidity and decomposition products to realize SF6 gas state monitoring, and an intelligent inspection robot is used for infrared inspection to realize temperature field monitoring.

[0020] The data processing layer comprises: establishing a standard data model based on GIL pipe mother factory test data and preventive test data under normal operation conditions, and pre-processing and feature parameter extraction of data obtained by the on-site sensor to realize measured data processing. It should be noted that the GIL pipe mother factory test data and the preventive test data under normal operation conditions are historical data, which can be directly obtained by existing technology. The GIL pipe mother factory test data includes GIL pipe mother insulation performance test, partial discharge test, moisture content test, expansion joint test, temperature rise test and other data, and the preventive test data under normal operation conditions includes insulation performance test, partial discharge test, moisture and decomposition product test, infrared inspection and other data.

[0021] The digital twin comprises: establishing a typical fault data model, comparing and analyzing the measured data with the standard data, and presetting the equipment operation and maintenance requirements and abnormal state disposal strategies.

[0022] The cloud analysis platform realizes the access of related application data to an enterprise-level operation monitoring platform, and realizes visual display.

[0023] Specifically, in the GIL pipe mother operation, first, the multi-modal sensing layer collects multi-dimensional data such as discharge state, mechanical state, gas state and temperature field in the GIL pipe mother operation in real time through multiple sensors; second, the data processing layer pre-processes and extracts features from the collected data to form a measured data model, at the same time, a standard data model is established based on historical data as a reference benchmark, then the digital twin compares the measured data with the standard data and the typical fault data model, if the measured data is within the threshold of the standard data, it is judged that the equipment is running normally; if it exceeds the threshold, it is compared with the typical fault data to judge the fault type and severity, then the intelligent analysis platform gives the equipment state evaluation, fault diagnosis, early warning information and operation and maintenance suggestions according to the data comparison result, finally the cloud analysis platform displays the processed data in a visual way, realizes centralized online monitoring and evaluation.

[0024] Therefore, through such multi-modal and all-round monitoring and intelligent analysis, the system can evaluate the running condition of the GIL pipe mother in real time and comprehensively, find potential problems in time, and improve the equipment operation and maintenance efficiency and reliability.

[0025] Specifically, the GIL pipe mother operation condition real-time monitoring system based on multi-modal sensing and digital twin, in the actual operation process, its monitoring method is as follows: assuming that the system is installed on the GIL pipe mother of a 500kV substation, first, the multi-modal sensing layer is deployed, specifically: first: install a set of built-in passive UHF sensor every 80-100 meters inside the GIL pipe mother; second: install a set of external ultrasonic sensor every 4-6 meters on the outer wall of the GIL pipe mother; third: install a vibration deformation sensor between the GIL pipe mother and the fixed support; fourth: install an SF6 pressure gauge and an SF6 electrochemical sensor at the gas injection port of each independent SF6 gas chamber; fifth: configure an intelligent inspection robot to perform infrared inspection; Secondly, data acquisition and processing, specifically: the built-in passive UHF sensor detects abnormal electromagnetic wave signals in the 860-960MHz frequency band, the ultrasonic sensor detects abnormal sound wave signals in the 20kHz-1MHz frequency band, the vibration deformation sensor measures the position change of the GIL pipe mother, the SF6 sensor monitors the gas pressure (0-1MPa range), humidity and decomposition product (SO2, H2, HF, CO2) content, the intelligent inspection robot performs infrared temperature detection according to the fixed route and fixed point; Then, data analysis and fault diagnosis are carried out, specifically: assuming that the system detects the following abnormal conditions, the built-in passive UHF sensor and the ultrasonic sensor detect continuous weak discharge signals at the same time, the SF6 gas pressure slightly decreases, the humidity slightly increases, and the infrared detection shows that the temperature of a connection is slightly higher than the surrounding temperature, at this time the application responds, the digital twin compares these data with the standard data model and the typical fault model, and then the analysis result shows that these symptoms are consistent with the characteristics of early SF6 gas leakage and partial discharge, at this time the system generates a warning information, and suggests to carry out further inspection and preventive maintenance; Finally, the cloud analysis platform labels the abnormal position on the 3D model of the GIL pipe mother, and generates a detailed analysis report including abnormal parameters, possible fault types and suggested measures, and then the operation and maintenance personnel arrange further inspection and maintenance work according to the system suggestion, timely handle potential problems and prevent fault expansion.

[0026] Therefore, through the above embodiments, it can be known that through multi-modal sensing, real-time data analysis and intelligent diagnosis, the application realizes comprehensive monitoring and timely warning of the running condition of the GIL pipe mother, and effectively improves the operation reliability and maintenance efficiency of the equipment.

[0027] More specifically, in actual operation, for the built-in passive UHF sensor, the installation position is located inside the GIL pipe mother (a mounting hole needs to be reserved during production), the layout distance is 80-100 meters per straight line segment, but for the corner segment GIL pipe mother, the layout distance should be appropriately shortened, and the working frequency band is 20 kHz-1 MHz, such as on a 200-meter-long straight line GIL pipe mother, the sensors can be arranged as follows: for the built-in passive UHF sensor: install one group at 0 meters, 90 meters and 180 meters, a total of 3 groups; For the external ultrasonic sensor: install one group every 5 meters starting from 0 meters, a total of 40 groups; at the corner, the distance of the passive UHF sensor can be shortened to 60-70 meters, and the distance of the external sensor can be shortened to 3-4 meters, so as to ensure more intensive monitoring of high-risk areas where partial discharge may occur.

[0028] More specifically, in the actual operation process of SF6 gas state monitoring, first, SF6 pressure monitoring is carried out using an SF6 pressure gauge, and the monitoring range is 0-1 MPa; for SF6 gas composition monitoring, an SF6 electrochemical sensor is used, and the monitoring parameters include humidity, decomposition products (SO2, H2, HF, CO2), and the specific installation position is located at the gas inlet of the GIL pipe mother The connection mode is realized by a four-way valve, one end of which is connected to the GIL pipe mother, one end is connected to the SF6 pressure gauge, one end is connected to the SF6 electrochemical sensor, and one end is reserved as an SF6 gas recovery and supplement channel; it should be noted that a set of SF6 gas online monitoring sensors is independently arranged for each independent SF6 gas chamber, For example, assuming that there are 3 independent SF6 gas chambers in a GIL pipe mother system, for each gas chamber, the present application installs a four-way valve at the gas injection port position, and the four ports of the four-way valve are respectively connected: GIL pipe mother internal gas, SF6 pressure gauge (monitoring range 0-1 MPa), SF6 electrochemical sensor (monitoring humidity and SO2, H2, HF, CO2, etc. Decomposition products), reserved port (for SF6 gas recovery or supplement), through this configuration, the present application can monitor the SF6 gas pressure and composition of each gas chamber in real time, quickly find possible leakage or decomposition problems, at the same time, the reserved port makes it convenient to take gas samples for analysis or supplement when abnormalities are found, without changing the existing settings.

[0029] More specifically, in actual operation, the infrared inspection of the intelligent inspection robot realizes dynamic and non-contact monitoring of the GIL pipe mother temperature field, wherein the consistency and comparability of the monitoring can be ensured through fixed route, fixed inspection point and fixed inspection cycle, at the same time, the data transmission efficiency and security are improved by using WAPI local area network to transmit data, and the intelligent inspection robot can replace manual inspection to improve work efficiency and security.

[0030] Specifically, the infrared inspection scheme of the intelligent inspection robot can be implemented as follows: first, the inspection route planning sets a fixed inspection route for the intelligent inspection robot, covering all GIL pipe mother equipment; Inspection point setting: fixed inspection points are set on the route, which should include key parts of the GIL pipe mother, such as connection, support structure, etc.; Inspection cycle: set a fixed inspection cycle, for example, conduct a comprehensive inspection once every 4 hours; Infrared detection: at each inspection point, the robot stops and uses an infrared camera to detect the heat distribution of the GIL pipe mother; Data transmission: the collected infrared images and temperature data are transmitted to the background analysis software through the WAPI local area network in the station.

[0031] Abnormality identification: the background software analyzes the infrared data to identify abnormal temperature rise or temperature difference.

[0032] For example, assuming that the total length of GIL pipes in a substation is 500 meters, the present application can be implemented in the following way: a patrol route covering all GIL pipes is planned, with a total length of about 600 meters (including necessary turns and obstacle avoidance); a fixed patrol point is set every 50 meters, for a total of 12 patrol points, with additional patrol points added at the connections of GIL pipes and at the supporting structures, for a total of 15 patrol points; the patrol cycle is set to be once every 4 hours, and at each patrol point, the robot stays for 30 seconds and uses an infrared camera to perform a 360-degree scan of the GIL pipes; the infrared images and temperature data collected are transmitted in real time to the background analysis software through the WAPI local area network in the substation, and the background software compares the current temperature data with historical data and preset thresholds. If an abnormal temperature is found at a certain location (for example, more than 5℃ higher than the surrounding temperature), an alarm is immediately issued.

[0033] Therefore, in this way, the present application can achieve comprehensive, regular, and automated monitoring of the temperature field of GIL pipes, and possible temperature abnormalities can be discovered in a timely manner.

[0034] The basic principles, main features, and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for real-time monitoring of the operating conditions of a GIL (Gas Injection Line) busbar based on multimodal sensing and digital twin, applicable to a real-time monitoring system for the operating conditions of a GIL busbar based on multimodal sensing and digital twin, characterized in that: Includes the following steps: S1: Obtain discharge status parameters during GIL bus operation; S2: Obtain the mechanical state parameters of the GIL pipe bus during operation; S3: Obtain gas state parameters during GIL pipeline operation; S4: Obtain the temperature field status parameters during the operation of the GIL pipe bus; S5: Obtain factory test data and preventive test data under normal operating conditions of GIL pipe busbar, form a standard data model, and establish a fault data model based on the standard data model under normal operating conditions of GIL pipe busbar, and pre-set the standard data model and fault data model in the intelligent analysis platform; S6: Preprocess and extract characteristic parameters of the discharge state parameters, mechanical state parameters, gas state parameters and temperature field state parameters during the operation of the GIL tube bus to obtain the measured data model, compare and analyze it with the standard data model to obtain the comparison results data; S7: Based on the comparison results, determine whether the GIL bus is operating normally. If it is not normal, compare the measured data model with the fault data model to determine the fault type and severity. Based on the intelligent analysis platform, provide the GIL bus status evaluation results, fault decomposition, early warning information and operation and maintenance suggestions. Utilize the enterprise-level operation monitoring platform under the cloud analysis platform to build a visual display dashboard or equipment model to achieve centralized online monitoring and evaluation of the GIL bus operating conditions.

2. The method for real-time monitoring of the operating conditions of the GIL (Gas Injection Line) busbar based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S1, obtaining the discharge state parameters of the GIL tube bus during operation includes obtaining the electromagnetic wave signal inside the GIL tube bus during abnormal discharge by using a built-in passive UHF sensor, and obtaining the partial discharge signal information of the GIL tube bus during operation.

3. The method for real-time monitoring of the operating conditions of GIL (Gas Inertial Isolation) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S1, obtaining the discharge state parameters of the GIL tube busbar during operation includes obtaining the ultrasonic signal transmitted to the wall inside the GIL tube busbar during abnormal discharge by using an external ultrasonic sensor, and obtaining the partial discharge signal information of the GIL tube busbar during operation.

4. The method for real-time monitoring of the operating conditions of the GIL (Gas Injection Line) busbar based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S2, obtaining the mechanical state parameters of the GIL busbar during operation includes measuring the mechanical deformation state of the GIL busbar during operation using a deformation sensor, and obtaining the mechanical deformation situation of the GIL busbar during operation.

5. The method for real-time monitoring of the operating conditions of GIL (Gas Injection Line) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S3, obtaining the gas state parameters during the operation of the GIL pipe bus includes monitoring the pressure of SF6 inside the operating GIL pipe bus using an SF6 pressure gauge, with a monitoring range of 0-1 MPa.

6. The method for real-time monitoring of the operating conditions of GIL (Gas Injection Line) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S3, obtaining the gas state parameters during the operation of the GIL tube includes online monitoring of the internal humidity and decomposition product gas content of the GIL tube using an SF6 electrochemical sensor.

7. The method for real-time monitoring of the operating conditions of GIL (Gas Injection Line) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S4, obtaining the temperature field status parameters of the GIL busbar during operation includes monitoring abnormal temperature rises or temperature differences of the GIL busbar during operation using an intelligent inspection robot via infrared inspection.

8. The method for real-time monitoring of the operating conditions of GIL (Gas Inertial Isolation) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S5, the standard data model includes factory test data for GIL tube busbar insulation performance test, partial discharge test, moisture content test, expansion joint test, and temperature rise test, as well as insulation performance test, partial discharge test, moisture and decomposition product test, and infrared inspection preventive test data under normal operating conditions.

9. The method for real-time monitoring of the operating conditions of GIL (Gas Injection Line) busbars based on multimodal sensing and digital twin as described in claim 1, characterized in that: In step S6, the measured data model includes partial discharge data during the operation of the GIL pipe main, SF6 micro-water content and decomposition product data, expansion joint deformation data, and infrared temperature measurement data.

10. A real-time monitoring system for the operating conditions of a GIL (Gas Injection Line) busbar based on multimodal sensing and digital twin, characterized in that: It includes a multimodal sensing layer, a data processing layer, a digital twin, and a cloud analytics platform, among which: The multimodal sensing layer is used for partial discharge monitoring, vibration deformation monitoring, SF6 gas state monitoring, and temperature field monitoring during the operation of the GIL tube bus. The data processing layer is used to establish standard data models and process measured data; Digital twins are used to establish fault data models, compare and analyze measured data with standard data, and pre-set equipment operation and maintenance requirements and abnormal state handling strategies. The cloud-based analytics platform is used to connect relevant application data to an enterprise-level operations monitoring platform for visualization.

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