CN-121984228-A - Digital twinning-based secondary fusion ring main unit state monitoring and operation and maintenance system

CN121984228ACN 121984228 ACN121984228 ACN 121984228ACN-121984228-A

Abstract

The invention discloses a digital twinning-based secondary fusion ring network box state monitoring and operation and maintenance system, and belongs to the technical field of intelligent power distribution network operation and maintenance. The method solves the problems that the prior art lacks a systematic and layered quantitative index system, so that an evaluation result is relatively general, the false alarm rate and the missing alarm rate of fault diagnosis are high, the health degree of the ring network box is quantized through three-level indexes, weighted fusion and short plate positioning, and the operation and maintenance decision is more accurate by combining a graph neural network to quickly lock the fault position, the type and the propagation path in a digital twin body, and four-level early warning and residual life prediction are started, so that the accuracy and the depth of diagnosis are greatly improved, an intelligent closed loop from evaluation to diagnosis to early warning is formed, the fault outage time is effectively shortened, the operation and maintenance cost is reduced, and the reliability, the safety and the economical efficiency of the power distribution network are comprehensively improved.

Inventors

Ma Gencheng
LI AO
WANG YIMING
YUAN FUGANG
WANG LIU

Assignees

北京昊创瑞通电气设备股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260209

Claims (10)

1. Digital twinning-based secondary fusion ring main unit state monitoring and operation and maintenance system, which is characterized by comprising: the multi-source cooperative sensing unit is configured to acquire a primary equipment state parameter, a secondary equipment electrical parameter, a box environment parameter, an energy consumption parameter and a mechanical characteristic parameter of the secondary fusion ring main unit; The twin modeling unit is configured to construct a four-dimensional fusion digital twin body of a secondary fusion ring main unit by adopting a multi-scale fusion modeling method and combining design drawings, material parameters, installation data and operation history data of the ring main unit, and comprises an external structure and an internal layout of the ring main unit based on a geometric twin model; simulating the physical process of mechanical movement of the primary equipment, electric transmission of the secondary equipment and heat conduction of the box body based on the physical twin model, and simulating the running state of the equipment; Capturing the change rule of the running state of the equipment based on the behavior feature model, and predicting the equipment behavior, and simulating the change rule of the energy consumption of the equipment under different running conditions based on the energy consumption twin model; The state evaluation and early warning unit is configured to construct a hierarchical evaluation index system based on four-dimensional fusion digital twin bodies and multi-source perception data to evaluate the operation state of the secondary fusion ring main unit, accurately identify faults and early warn in advance, and generate an operation and maintenance plan based on evaluation results and early warning information.
2. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 1, wherein the condition evaluation and early warning comprises: The state evaluation module is configured to construct a hierarchical evaluation index system by adopting a multi-dimensional comprehensive evaluation algorithm and combining simulation data and real-time data, and comprises a primary index, a secondary index and a tertiary index; normalizing the measured data and the simulation data of each level of indexes to convert the measured data and the simulation data into single scores; sequentially calculating a secondary index score and a primary index score by a weighted summation method according to preset index weights, and summarizing and outputting the integral health status score of the ring main unit; Grading the evaluation result according to a preset grading standard; And identifying the secondary index and the tertiary index with lower scores from the health status scores, acquiring a core short board in the operation of the physical equipment, and generating a status evaluation report.
3. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 2, wherein the condition evaluation and early warning system further comprises: The fault identification module is configured to adopt a graph neural network model, combine the four-dimensional fusion digital twin-body simulated fault evolution process and the real-time data feature extraction result to construct a fault identification model, carry out multi-type fault identification on the physical equipment, identify a key fault propagation path, locate the specific position, fault type and fault grade of fault occurrence and determine the fault cause; and the hierarchical early warning module is configured to construct a four-level early warning mechanism based on the state evaluation result and the fault identification result, and is combined with the four-dimensional fusion digital twin body to simulate the fault development trend so as to predict the fault occurrence time.
4. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 3, wherein the condition evaluation and early warning system further comprises: The energy consumption analysis module is configured to identify abnormal points of equipment energy consumption by adopting an energy consumption analysis algorithm based on a fault identification result and a four-dimensional fusion digital twin body energy consumption simulation result and combining equipment energy consumption data, operation condition data and environment data, analyze causes of excessively high energy consumption and output an energy consumption analysis report; And the energy consumption optimization module is configured to generate a personalized energy consumption optimization strategy based on the energy consumption analysis result, and execute the optimization strategy through remote control so as to reduce the energy consumption of the equipment.
5. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 4, wherein the condition evaluation and early warning system further comprises: the closed-loop operation and maintenance module is configured to generate an individualized operation and maintenance plan by adopting an intelligent scheduling algorithm based on the equipment health status grade, the early warning information, the operation and maintenance history data and the power supply load demand of the power distribution network, and the individualized operation and maintenance plan comprises a patrol inspection plan, an overhaul plan and an equipment replacement plan; And the data archiving module is configured to classify, sort and archive all data in the operation and maintenance process to form an operation and maintenance data file.
6. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 1, wherein the twinning modeling unit comprises: the real-time synchronization module is configured to drive the four-dimensional fusion digital twin body to perform millisecond synchronization with the physical ring main unit through real-time data transmitted by the multi-source cooperative sensing unit, and feed back simulation data of the four-dimensional fusion digital twin body to the physical equipment.
7. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 6, wherein the twinning modeling unit further comprises: The iteration optimization module is configured to dynamically and iteratively optimize the four-dimensional fusion digital twin body by adopting an online learning algorithm and combining equipment operation data, fault handling data, operation and maintenance data and environment change data.
8. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 1, wherein the multi-source cooperative sensing comprises: the primary equipment sensing module is configured to collect mechanical characteristic parameters of the circuit breaker and the isolating switch and partial discharge signals of the bus and the cable connector; the secondary equipment sensing module is configured to collect voltage, current, power factor and action frequency parameters of the protection device and the measurement and control device.
9. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 8, wherein the multi-source cooperative sensing further comprises: the environment and energy consumption sensing module is configured to collect temperature, humidity, air pressure, corrosive gas concentration inside and outside the box body, outdoor illumination and wind speed parameters; and the signal conditioning module is configured to perform filtering, amplifying and noise reduction processing on the acquired analog signals and convert the analog signals into digital signals.
10. The digital twinning-based secondary fusion ring main unit condition monitoring and operation and maintenance system according to claim 9, wherein the multi-source cooperative sensing further comprises: The edge computing module is configured to be deployed at the local part of the ring main unit, and performs real-time preprocessing on the acquired multi-source data by adopting a lightweight algorithm to extract multi-dimensional time-frequency domain characteristics of the data; And the wireless transmission module is configured to adopt a 5G+LoRa dual-mode transmission mode to transmit the preprocessed data to the twin modeling unit in real time.

Description

Digital twinning-based secondary fusion ring main unit state monitoring and operation and maintenance system Technical Field The invention relates to the technical field of operation and maintenance of intelligent power distribution networks, in particular to a digital twinning-based secondary fusion ring network box state monitoring and operation and maintenance system. Background Along with the deep promotion of intelligent power distribution network construction, a secondary integration ring main unit is used as key node equipment of the power distribution network, and a plurality of equipment such as a switch body, a transformer, an FTU/DTU, a communication module and the like are integrated, so that the deep integration of measurement, control and protection functions is realized. However, the prior art suffers from the following significant drawbacks: The traditional evaluation method is mostly based on threshold value alarming, lacks a systematic and layered quantitative index system, and the evaluation result is always a general state, cannot precisely quantify the health level and cannot precisely position specific equipment, components and root causes which cause the state to be reduced; the traditional fault diagnosis mainly depends on expert experience rules and single type signals, and has high false alarm rate and false missing rate. Therefore, in order to meet the existing requirements, a digital twinning-based secondary fusion ring main unit state monitoring and operation and maintenance system is provided. ‌ A Disclosure of Invention The invention aims to provide a digital twinning-based secondary fusion ring network box state monitoring and operation and maintenance system, which is used for quantifying the ring network box health degree through three-level index, weighted fusion and short board positioning, combining a graph neural network to quickly lock fault positions, types and propagation paths in a digital twinning body, so that operation and maintenance decision is more accurate, and starting four-level early warning and residual life prediction, thereby greatly improving the accuracy and depth of diagnosis, forming an intelligent closed loop from evaluation to diagnosis to early warning, effectively shortening fault outage time, reducing operation and maintenance cost, comprehensively improving the reliability, safety and economy of a power distribution network, and solving the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: digital twinning-based secondary fusion ring main unit state monitoring and operation and maintenance system comprises: the multi-source cooperative sensing unit is configured to acquire a primary equipment state parameter, a secondary equipment electrical parameter, a box environment parameter, an energy consumption parameter and a mechanical characteristic parameter of the secondary fusion ring main unit; The twin modeling unit is configured to construct a four-dimensional fusion digital twin body of a secondary fusion ring main unit by adopting a multi-scale fusion modeling method and combining design drawings, material parameters, installation data and operation history data of the ring main unit, and comprises an external structure and an internal layout of the ring main unit based on a geometric twin model; simulating the physical process of mechanical movement of the primary equipment, electric transmission of the secondary equipment and heat conduction of the box body based on the physical twin model, and simulating the running state of the equipment; Capturing the change rule of the running state of the equipment based on the behavior feature model, and predicting the equipment behavior, and simulating the change rule of the energy consumption of the equipment under different running conditions based on the energy consumption twin model; The state evaluation and early warning unit is configured to construct a hierarchical evaluation index system based on four-dimensional fusion digital twin bodies and multi-source perception data to evaluate the operation state of the secondary fusion ring main unit, accurately identify faults and early warn in advance, and generate an operation and maintenance plan based on evaluation results and early warning information. Further, the state evaluation and early warning includes: The state evaluation module is configured to construct a hierarchical evaluation index system by adopting a multi-dimensional comprehensive evaluation algorithm and combining simulation data and real-time data, and comprises a primary index, a secondary index and a tertiary index; normalizing the measured data and the simulation data of each level of indexes to convert the measured data and the simulation data into single scores; sequentially calculating a secondary index score and a primary index score by a weighted summation method according to