Power equipment operation state monitoring system based on digital twinning
Patent Information
- Application Number
- CN202611292192.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-25
- Publication Date
- 2026-10-27
AI Technical Summary
[0002]随着智能电网建设的推进，电力设备的可靠性与运行效率成为关键指标，传统监测方式存在以下痛点：依赖人工巡检，实时性不足，难以发现早期隐患、单点数据采集无法反映电力设备整体状态，故障定位困难、缺乏动态仿真能力，无法预测电力设备在不同工况下的性能变化、数据孤岛现象严重，多源异构数据难以融合分析；
[0013]与现有技术相比，本发明的有益效果是：通过数据采集终端获取电力设备的设备运行参数和机械特性参数，建立与电力设备相对应的驱动虚拟模型将电力设备的设备运行参数和机械特性参数映射至驱动虚拟模型内，根据驱动虚拟模型模块对电力设备的运行过程进行分析，获得对应的综合健康指数，并根据所获得的对应的综合健康指数获取电力设备的评估结果，通过数字孪生技术对断路器触头的监测，保障电力系统的高可靠性，推动系统向更高效和更低碳的智能化方向演进。
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Figure CN122993264A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power equipment monitoring technology, specifically a power equipment operation status monitoring system based on digital twins. Background Technology
[0002] With the advancement of smart grid construction, the reliability and operating efficiency of power equipment have become key indicators. Traditional monitoring methods have the following pain points: they rely on manual inspections, which are not real-time and make it difficult to detect early hidden dangers; single-point data collection cannot reflect the overall status of power equipment, making fault location difficult; they lack dynamic simulation capabilities and cannot predict the performance changes of power equipment under different operating conditions; and the phenomenon of data silos is serious, making it difficult to integrate and analyze multi-source heterogeneous data. Statistics show that some power outages are caused by lagging power equipment status monitoring. The operation of power equipment is affected by equipment operating parameters and mechanical characteristic parameters. Abnormalities in these parameters can lead to power equipment failures. Constructing a power equipment monitoring system that integrates digital twin technology to accurately capture parameter changes and achieve full-dimensional digital mapping of power equipment status is a problem we need to solve. This will overcome the monitoring lag caused by complex parameter interactions and improve the reliability of the power grid. Therefore, we are now providing a power equipment operation status monitoring system based on digital twin technology. Summary of the Invention
[0003] The purpose of this invention is to provide a power equipment operation status monitoring system based on digital twins.
[0004] The objective of this invention can be achieved through the following technical solution: a power equipment operation status monitoring system based on digital twins, including a monitoring center, wherein the monitoring center is communicatively connected to a data acquisition module, a digital twin modeling module, and a data analysis module; The data acquisition module is used to acquire the equipment operating parameters and mechanical characteristic parameters of the power equipment; The digital twin modeling module is used to establish a drive virtual model corresponding to the power equipment, and to map the equipment operation parameters and mechanical characteristic parameters of the power equipment into the drive virtual model; The data analysis module is used to analyze the operation process of power equipment according to the driving virtual model, obtain the corresponding comprehensive health index, and obtain the evaluation result of power equipment based on the obtained comprehensive health index.
[0005] Furthermore, the data acquisition module consists of several data acquisition terminals, and the process of deploying the data acquisition terminals in the power equipment in the target area includes: The power equipment is equipped with multiple circuit breaker contacts, including moving contacts and stationary contacts; By deploying data acquisition terminals within power equipment, the equipment operation parameters and mechanical characteristic parameters of power equipment within the target area can be obtained in real time. The equipment operating parameters include the real-time current, contact resistance, real-time temperature, temperature change, resistance change, and equipment operating time of the circuit breaker contacts. The mechanical characteristic parameters include the elastic modulus, mechanical strain coefficient, thermal expansion coefficient, contact spacing, contact radius, air conductivity, thickness of the medium in which the electric field is effectively applied, convective heat dissipation coefficient, and effective area for air convection heat dissipation of the contact materials of the moving and stationary contacts of the circuit breaker.
[0006] Furthermore, the process by which the digital twin modeling module establishes a drive virtual model corresponding to the power equipment includes: Based on the power equipment in the target area, establish corresponding basic models of the power equipment. Based on the distribution of circuit breaker contacts within the power equipment, generate corresponding simulated circuit breaker contacts at the corresponding positions within the basic models of the power equipment. Associate the simulated circuit breaker contacts with the data acquisition terminals deployed in the circuit breaker contacts within the power equipment; Import the equipment operating parameters and mechanical characteristic parameters obtained from the associated data acquisition terminal into the simulated circuit breaker contacts; The process of contact closure and contact opening of the circuit breaker is simulated based on the imported equipment operating parameters and mechanical characteristic parameters.
[0007] Furthermore, the digital twin modeling module simulates the contact closure process of the circuit breaker, including: Within the driving virtual model, the state of the corresponding simulated circuit breaker contacts is set to the closed conducting state; Joule heating is obtained based on the real-time current, contact resistance, and equipment operating time introduced into the contacts of the simulated circuit breaker. The elastic modulus, mechanical strain coefficient, thermal expansion coefficient, and temperature change of the contact material of the circuit breaker contact are introduced into the simulated circuit breaker contact to obtain thermal expansion stress. The electro-thermal-mechanical multi-field interaction process formed by the closure of circuit breaker contacts is simulated by obtaining Joule heat and thermal expansion stress.
[0008] Furthermore, the digital twin modeling module simulates the contact opening process of the circuit breaker, including: Within the driving virtual model, the state of the corresponding simulated circuit breaker contact is set to the open cut-off state; The air gap insulation resistance is obtained by incorporating the contact spacing, contact radius, air conductivity, and dielectric thickness under the effective effect of the electric field into the simulated circuit breaker contacts. The convection heat dissipation coefficient and the effective area of air convection heat dissipation are introduced into the simulated circuit breaker contacts to obtain air convection heat dissipation. The process of electric and thermal field dissipation after the circuit breaker contacts are opened is reproduced by obtaining air convection heat dissipation data.
[0009] Furthermore, the data analysis module analyzes the operation process of the power equipment based on the driving virtual model to obtain the corresponding comprehensive health index, including: Set the maximum safe temperature rise threshold, resistance change threshold, and material stress threshold; The heat dissipation health score of the circuit breaker contacts is obtained based on the obtained temperature change and the preset maximum safe temperature rise threshold. The resistance health score of the circuit breaker contacts is obtained based on the obtained resistance change and the preset corresponding resistance change threshold. The thermal expansion stress health score of the circuit breaker contacts is obtained based on the acquired thermal expansion stress and the preset corresponding material stress threshold. The comprehensive health index of the circuit breaker contacts is obtained based on the obtained heat dissipation health score, resistance health score, and thermal expansion stress health score.
[0010] Furthermore, the process by which the data analysis module determines the threshold range of the comprehensive health index of the circuit breaker contacts includes: Set the threshold range for the comprehensive health index; When the comprehensive health index is greater than or equal to the upper limit of the comprehensive health index threshold range, the circuit breaker contact parameters are normal and the operating status is good. When the lower limit of the comprehensive health index threshold range is less than the comprehensive health index and less than the upper limit of the comprehensive health index threshold range, a level one warning is triggered. When the comprehensive health index is less than or equal to the lower limit of the comprehensive health index threshold range, a level-two warning is triggered.
[0011] Furthermore, the process by which the data analysis module triggers a Level 1 warning includes: Set the data collection duration t for the circuit breaker contact triggering the first-level early warning; Within the acquisition time t when the circuit breaker contacts trigger the first-level early warning, the equipment operating parameters and mechanical characteristic parameters are sampled, and the sampled equipment operating parameter values and mechanical characteristic parameter values are summarized to obtain the corresponding average equipment operating parameter values and average mechanical characteristic parameter values. Based on the average values of the equipment operating parameters and mechanical characteristic parameters, the corresponding heat dissipation health score, resistance health score, and thermal expansion stress health score are re-obtained, and the comprehensive health index is re-obtained according to the weight of each factor. If the obtained comprehensive health index is still within the comprehensive health index threshold range, the system will automatically trigger a trip.
[0012] Furthermore, the process by which the data analysis module triggers a level-two early warning includes: When the circuit breaker contacts trigger a level 2 warning, the system will automatically trip the circuit breaker.
[0013] Compared with existing technologies, the beneficial effects of this invention are as follows: It acquires the equipment operating parameters and mechanical characteristic parameters of power equipment through a data acquisition terminal, establishes a corresponding drive virtual model for the power equipment, maps the equipment operating parameters and mechanical characteristic parameters of the power equipment into the drive virtual model, analyzes the operation process of the power equipment based on the drive virtual model module, obtains the corresponding comprehensive health index, and obtains the evaluation result of the power equipment based on the obtained comprehensive health index. Furthermore, it monitors the circuit breaker contacts through digital twin technology, ensuring the high reliability of the power system and promoting the system's evolution towards a more efficient and lower-carbon intelligent direction. Attached Figure Description
[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.
[0015] Figure 1 This is a schematic diagram of the present invention. Detailed Implementation
[0016] like Figure 1 As shown, the power equipment operation status monitoring system based on digital twins includes a monitoring center, which is communicatively connected to a data acquisition module, a digital twin modeling module, and a data analysis module. The data acquisition module is used to acquire the equipment operating parameters and mechanical characteristic parameters of the power equipment; The digital twin modeling module is used to establish a drive virtual model corresponding to the power equipment, and to map the equipment operation parameters and mechanical characteristic parameters of the power equipment into the drive virtual model; The data analysis module is used to analyze the operation process of power equipment according to the driving virtual model, obtain the corresponding comprehensive health index, and obtain the evaluation result of power equipment based on the obtained comprehensive health index.
[0017] The data acquisition module consists of several data acquisition terminals, which are deployed in the power equipment in the target area. The power equipment is equipped with multiple circuit breaker contacts, which include moving contacts and stationary contacts; By deploying data acquisition terminals within power equipment, the equipment operation parameters and mechanical characteristic parameters of power equipment within the target area can be obtained in real time. The equipment operating parameters include the real-time current, real-time voltage, rated current, rated voltage, contact resistance of the circuit breaker contacts, real-time temperature, temperature change, resistance change, and equipment operating time. The mechanical characteristic parameters include the elastic modulus, mechanical strain coefficient, thermal expansion coefficient, contact spacing, contact radius, air conductivity, thickness of the medium in which the electric field is effectively applied, convective heat dissipation coefficient, and effective area for air convection heat dissipation of the contact materials of the moving and stationary contacts of the circuit breaker.
[0018] The digital twin modeling module establishes a drive virtual model corresponding to the power equipment and maps the equipment operating parameters and mechanical characteristic parameters of the power equipment into the drive virtual model. The process includes: Based on the power equipment in the target area, establish corresponding basic models of the power equipment. Based on the distribution of circuit breaker contacts within the power equipment, generate corresponding simulated circuit breaker contacts at the corresponding positions within the basic models of the power equipment. Associate the simulated circuit breaker contacts with the data acquisition terminals deployed in the circuit breaker contacts within the power equipment; Import the equipment operating parameters and mechanical characteristic parameters obtained from the associated data acquisition terminal into the simulated circuit breaker contacts; The process of contact closing and contact opening of the circuit breaker is simulated based on the imported equipment operating parameters and mechanical characteristic parameters; The simulation process of closing the contacts of a circuit breaker includes: Within the driving virtual model, the state of the corresponding simulated circuit breaker contacts is set to the closed conducting state; The Joule heat, denoted as Q, is obtained based on the real-time current introduced into the contacts of the simulated circuit breaker, the contact resistance, and the equipment operating time. I is the real-time current, R is the contact resistance, and t is the simulated running time of the equipment; The elastic modulus, mechanical strain coefficient, thermal expansion coefficient, and temperature change of the contact material of the circuit breaker contact are introduced into the simulated circuit breaker contact to obtain the thermal expansion stress, denoted as . ,in , The elastic modulus of the equivalent contact material. , The elastic modulus of the contact material of the moving contact of the circuit breaker. The elastic modulus of the contact material of the stationary contact of the circuit breaker. The mechanical strain coefficient, The coefficient of thermal expansion is To simulate the temperature change during the equipment's operating time; The electro-thermal-mechanical multi-field interaction process formed by the closure of circuit breaker contacts is simulated by obtaining Joule heat and thermal expansion stress. The simulation process of opening the contacts of a circuit breaker includes: Within the driving virtual model, the state of the corresponding simulated circuit breaker contact is set to the open cut-off state; The air gap insulation resistance is obtained by incorporating the contact spacing, contact radius, air conductivity, and dielectric thickness effectively acting on the electric field into the simulated circuit breaker contacts, denoted as . ,in d is the contact spacing, and r is the contact radius. Let be the electrical conductivity of air, and D be the thickness of the medium through which the electric field is effectively applied; The convective heat dissipation coefficient and the effective area of air convection heat dissipation are introduced into the simulated circuit breaker contacts to obtain air convection heat dissipation, denoted as q, where q = hA. h is the convective heat dissipation coefficient, and A is the effective area for air convective heat dissipation. The process of electric and thermal field dissipation after the circuit breaker contacts are opened is reproduced by obtaining air convection heat dissipation data.
[0019] The data analysis module analyzes the operation process of the power equipment based on the driving virtual model, obtains the corresponding comprehensive health index, and obtains the evaluation result of the power equipment based on the obtained comprehensive health index. The process includes: Set the maximum safe temperature rise threshold to ; Set the threshold for resistance change to... ; Set the material stress threshold to ; The virtual model acquires data on temperature changes, resistance changes, thermal expansion stress, and air convection heat dissipation generated during the operation of the power equipment. The heat dissipation health score of the circuit breaker contacts is obtained based on the acquired temperature change and the preset maximum safe temperature rise threshold, and is denoted as follows: ,in ; in, This represents the heat dissipation efficiency factor, and when the heat dissipation capacity is greater than the heat generation capacity, this factor takes an upper limit of 1. The resistance health score of the circuit breaker contacts is obtained based on the acquired resistance change and the preset corresponding resistance change threshold, and is denoted as follows: ,in ; in, R0 represents the change in contact resistance, where R0 is the initial contact resistance value when the contacts are closed. The initial air gap insulation resistance when the contacts open. , These are the weighting coefficients, and ; The thermal expansion stress health score of the circuit breaker contacts is obtained based on the acquired thermal expansion stress and the preset corresponding material stress threshold, and is denoted as follows: ,in ,in: ; ; in For safety reference stress, To simulate the stress variation over a time period, The maximum allowable stress variation amplitude threshold; Set the weight of the thermal health score as follows: The weight of the resistance health score is The weight of the thermal expansion stress health score is: And the weights are related as follows: > > ; The comprehensive health index of the circuit breaker contacts is obtained by using the acquired heat dissipation health score, resistance health score, and thermal expansion stress health score, denoted as H, where H = ; Set the threshold range for the comprehensive health index as follows: ; When H≥ If the circuit breaker contacts are in good working order, all parameters are normal and the circuit breaker is operating well. when <H< If this occurs, a Level 1 warning will be triggered; When H≤ If this occurs, a Level II warning will be triggered.
[0020] It should be further explained that the process of the circuit breaker contact triggering the early warning includes: When the circuit breaker contacts trigger a Level 1 warning: Set the data collection duration for the circuit breaker contacts to trigger the first-level early warning; Within the data collection period when the circuit breaker contacts trigger a first-level early warning, the equipment operating parameters and mechanical characteristic parameters are sampled, and the sampled equipment operating parameter values and mechanical characteristic parameter values are summarized to obtain the corresponding average equipment operating parameter values and average mechanical characteristic parameter values. Based on the obtained average values of equipment operating parameters and mechanical characteristic parameters, the corresponding heat dissipation health score, resistance health score, and thermal expansion stress health score are re-obtained and recorded as follows: , , The comprehensive health index is then recalculated based on the weights of each factor, and denoted as [missing information]. ,in ; If the obtained comprehensive health index is still within the comprehensive health index threshold range, the system will automatically trigger a trip. When the circuit breaker contacts trigger a level two warning: The system directly and automatically triggers the circuit breaker to trip; It should be noted that the calculation process of the above formulas involves directly taking the numerical values without considering the dimensions.
[0021] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications or equivalent substitutions made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. A power equipment operation status monitoring system based on digital twins, including a monitoring center, characterized in that, The monitoring center is connected to a data acquisition module, a digital twin modeling module, and a data analysis module. The data acquisition module is used to acquire the equipment operating parameters and mechanical characteristic parameters of the power equipment; The digital twin modeling module is used to establish a drive virtual model corresponding to the power equipment, and to map the equipment operation parameters and mechanical characteristic parameters of the power equipment into the drive virtual model; The data analysis module is used to analyze the operation process of power equipment according to the driving virtual model, obtain the corresponding comprehensive health index, and obtain the evaluation result of power equipment based on the obtained comprehensive health index.
2. The power equipment operation status monitoring system based on digital twin according to claim 1, characterized in that, The data acquisition module consists of several data acquisition terminals, which are deployed in the power equipment in the target area. The power equipment is equipped with multiple circuit breaker contacts, which include moving contacts and stationary contacts; By deploying data acquisition terminals within power equipment, the equipment operation parameters and mechanical characteristic parameters of power equipment within the target area can be obtained in real time. The equipment operating parameters include the real-time current, contact resistance, real-time temperature, temperature change, resistance change, and equipment operating time of the circuit breaker contacts. The mechanical characteristic parameters include the elastic modulus, mechanical strain coefficient, thermal expansion coefficient, contact spacing, contact radius, air conductivity, thickness of the medium in which the electric field is effectively applied, convective heat dissipation coefficient, and effective area for air convection heat dissipation of the contact materials of the moving and stationary contacts of the circuit breaker.
3. The power equipment operation status monitoring system based on digital twin according to claim 2, characterized in that, The process by which the digital twin modeling module establishes a virtual drive model corresponding to the power equipment includes: Based on the power equipment in the target area, establish corresponding basic models of the power equipment. Based on the distribution of circuit breaker contacts within the power equipment, generate corresponding simulated circuit breaker contacts at the corresponding positions within the basic models of the power equipment. Associate the simulated circuit breaker contacts with the data acquisition terminals deployed in the circuit breaker contacts within the power equipment; Import the equipment operating parameters and mechanical characteristic parameters obtained from the associated data acquisition terminal into the simulated circuit breaker contacts; The process of contact closure and contact opening of the circuit breaker is simulated based on the imported equipment operating parameters and mechanical characteristic parameters.
4. The power equipment operation status monitoring system based on digital twin according to claim 3, characterized in that, The digital twin modeling module simulates the contact closure process of the circuit breaker, including: Within the driving virtual model, the state of the corresponding simulated circuit breaker contacts is set to the closed conducting state; Joule heating is obtained based on the real-time current, contact resistance, and equipment operating time introduced into the contacts of the simulated circuit breaker. The elastic modulus, mechanical strain coefficient, thermal expansion coefficient, and temperature change of the contact material of the circuit breaker contact are introduced into the simulated circuit breaker contact to obtain thermal expansion stress. The electro-thermal-mechanical multi-field interaction process formed by the closure of circuit breaker contacts is simulated by obtaining Joule heat and thermal expansion stress.
5. The power equipment operation status monitoring system based on digital twin according to claim 4, characterized in that, The digital twin modeling module simulates the contact opening process of the circuit breaker, including: Within the driving virtual model, the state of the corresponding simulated circuit breaker contact is set to the open cut-off state; The air gap insulation resistance is obtained by incorporating the contact spacing, contact radius, air conductivity, and dielectric thickness under the effective effect of the electric field into the simulated circuit breaker contacts. The convection heat dissipation coefficient and the effective area of air convection heat dissipation are introduced into the simulated circuit breaker contacts to obtain air convection heat dissipation. The process of electric and thermal field dissipation after the circuit breaker contacts are opened is reproduced by obtaining air convection heat dissipation data.
6. The power equipment operation status monitoring system based on digital twin according to claim 5, characterized in that, The data analysis module analyzes the operation process of power equipment based on the driving virtual model to obtain the corresponding comprehensive health index. The process includes: Set the maximum safe temperature rise threshold, resistance change threshold, and material stress threshold; The heat dissipation health score of the circuit breaker contacts is obtained based on the obtained temperature change and the preset maximum safe temperature rise threshold. The resistance health score of the circuit breaker contacts is obtained based on the obtained resistance change and the preset corresponding resistance change threshold. The thermal expansion stress health score of the circuit breaker contacts is obtained based on the acquired thermal expansion stress and the preset corresponding material stress threshold. The comprehensive health index of the circuit breaker contacts is obtained based on the obtained heat dissipation health score, resistance health score, and thermal expansion stress health score.
7. The power equipment operation status monitoring system based on digital twin according to claim 6, characterized in that, The process by which the data analysis module determines the threshold range of the comprehensive health index of the circuit breaker contacts includes: Set the threshold range for the comprehensive health index; When the comprehensive health index is greater than or equal to the upper limit of the comprehensive health index threshold range, the circuit breaker contact parameters are normal and the operating status is good. When the lower limit of the comprehensive health index threshold range is less than the comprehensive health index and less than the upper limit of the comprehensive health index threshold range, a level one warning is triggered. When the comprehensive health index is less than or equal to the lower limit of the comprehensive health index threshold range, a level-two warning is triggered.
8. The power equipment operation status monitoring system based on digital twin according to claim 7, characterized in that, The process by which the data analysis module triggers a Level 1 warning includes: Set the data collection duration t for the circuit breaker contact triggering the first-level early warning; Within the acquisition time t when the circuit breaker contacts trigger the first-level early warning, the equipment operating parameters and mechanical characteristic parameters are sampled, and the sampled equipment operating parameter values and mechanical characteristic parameter values are summarized to obtain the corresponding average equipment operating parameters and average mechanical characteristic parameters. Based on the average values of the equipment operating parameters and mechanical characteristic parameters, the corresponding heat dissipation health score, resistance health score, and thermal expansion stress health score are re-obtained, and the comprehensive health index is re-obtained according to the weight of each factor. If the obtained comprehensive health index is still within the comprehensive health index threshold range, the system will automatically trigger a trip.
9. The power equipment operation status monitoring system based on digital twin according to claim 8, characterized in that, The process by which the data analysis module triggers a level-two early warning includes: When the circuit breaker contacts trigger a level 2 warning, the system will automatically trip the circuit breaker.