CN-121998658-A - Cable accessory installation process traceability system and method based on time sequence attention and digital twinning

CN121998658ACN 121998658 ACN121998658 ACN 121998658ACN-121998658-A

Abstract

The invention relates to the technical field of cable installation, and particularly discloses a cable accessory installation process tracing system and method based on time sequence attention and digital twinning, wherein the system comprises a multi-mode data acquisition module, a data processing module and a data processing module, wherein the multi-mode data acquisition module is used for capturing hand action time sequence data of a cable installer in real time, generating local three-dimensional point cloud data of the cable accessory and acquiring defect data of each procedure; the digital twin dynamic mapping module generates a defect tracing thermodynamic diagram based on local three-dimensional point cloud data, the cross-process correlation analysis module identifies a cross-process analysis result, and the defect root tracing module performs root tracing and defect evolution prediction and generates an optimal optimization scheme. The invention can accurately position the root cause of the problem.

Inventors

CHEN QINGHUA
ZHANG YU
SUN SHANFENG
LIU SANWEI

Assignees

国网湖南省电力有限公司长沙供电分公司
国网湖南省电力有限公司
国家电网有限公司

Dates

Publication Date: 20260508
Application Date: 20251223

Claims (13)

1. A cable accessory installation process traceability system based on time sequence attention and digital twinning is characterized by comprising: the multi-mode data acquisition module is used for capturing hand motion time sequence data of a cable installer in real time, generating local three-dimensional point cloud data of a cable accessory and acquiring defect data of each procedure; The time sequence process fingerprint extraction module is used for carrying out feature extraction on hand action time sequence data through a time sequence attention network and generating a causal model of an action sequence and a process quality index by combining the association relation between construction actions and process quality; The digital twin dynamic mapping module is used for generating a defect tracing thermodynamic diagram based on the local three-dimensional point cloud data; the inter-process association analysis module is used for carrying out association analysis on association relations among the processes and identifying an inter-process analysis result; And the defect root cause tracing module is used for tracing the root cause based on the defect tracing thermodynamic diagram, the cross-procedure analysis result and the defect data of each procedure.
2. The timing attention and digital twinning-based cable accessory installation process traceability system according to claim 1, wherein the multi-modal data acquisition module comprises: The hand motion data acquisition module is used for capturing hand motion time sequence data of a cable installer in real time through a wearable operation recorder provided with an inertial measurement unit and a motion sensor; The three-dimensional point cloud data acquisition module is used for capturing image data of the cable accessory installation part in real time through a high-precision binocular vision terminal provided with a depth camera and an image processor, and generating local three-dimensional point cloud data based on the image data captured in real time; and the defect data acquisition module is used for acquiring the defect data of each process based on the special sensor unit and the local three-dimensional point cloud data of each process.
3. The cable accessory installation process traceability system based on time sequence attention and digital twinning according to claim 1, wherein the time sequence process fingerprint extraction module comprises: the time sequence feature extraction submodule is used for coding the hand motion time sequence data through a two-way long-short-term memory network and extracting time sequence features to obtain hand motion time sequence features; the attention machine sub-module is used for calculating attention weights of hand action time sequence features at different time steps, and obtaining process fingerprint features focused on key actions based on the attention weights at different time steps in a weighted fusion mode; And the causal model construction submodule is used for establishing a causal relation model between the action sequence and the process quality index based on the process fingerprint characteristics and the corresponding process quality index data.
4. The timing attention and digital twinning based cable accessory installation process traceability system according to claim 1, wherein the digital twinning dynamic mapping module comprises: the geometric model construction submodule is used for constructing a cable accessory geometric model according to the local three-dimensional point cloud data; A physical attribute mapping sub-module for mapping the process parameters to the cable accessory geometric model and defining material attributes and boundary conditions; the dynamic simulation sub-module is used for simulating the installation process and quality evolution under different process parameters based on the geometric model of the cable accessory, the material properties and the boundary conditions and generating defect traceability thermodynamic diagrams reflecting the process defect risks at different positions.
5. The timing attention and digital twinning-based cable accessory installation process traceability system of claim 1, wherein the cross-process correlation analysis module comprises: the working procedure diagram construction submodule is used for decomposing the cable accessory installation process into a plurality of working procedures and constructing a directed diagram reflecting the dependency relationship among the working procedures; the graph neural network sub-module is used for carrying out convolution operation on the directed graph and learning the association relation among nodes to obtain the association relation among working procedures; the early warning generation sub-module is used for identifying the influence path of the preceding process on the subsequent defect based on the association relation among the processes as a cross-process analysis result.
6. The timing attention and digital twinning-based cable accessory installation process traceability system according to claim 1, wherein the defect root traceability module comprises: The defect parameter analysis sub-module is used for extracting risk density values of all defect positions from a defect tracing thermodynamic diagram, extracting conduction probability of each influence path from a cross-procedure analysis result, and acquiring physical parameters of each defect position from defect data of each procedure; the defect contribution degree accumulation sub-module is used for calculating the posterior probability of each influence path in the cross-process analysis result and labeling the defect evolution contribution degree of the preamble process of each defect position based on the posterior probability of each influence path; The root cause tracing reasoning sub-module is used for generating a root cause tracing reasoning chain of each defect position based on the defect evolution contribution degree of all the previous procedures of each defect position and all the conduction probabilities of the influence paths of each defect position in the cross-procedure analysis result.
7. The timing attention and digital twinning based cable accessory installation process traceability system of claim 6, wherein the defect contribution accumulation sub-module comprises: A path posterior probability calculation unit, configured to calculate posterior probabilities that the corresponding influence path is all defect types related to the corresponding influence path on the premise that all defect types related to the single influence path in the cross-process analysis result are known; The homologous dependency path analysis unit is used for screening all homologous dependency path combinations from all influence paths related in the cross-procedure analysis result and calculating the dependency coefficient of each homologous dependency path combination; A homologous posterior probability calculation unit configured to calculate a posterior probability of each homologous dependent path combination based on the posterior probabilities that the corresponding influence path is of all defect types involved in the corresponding influence path and the dependency coefficients of each homologous dependent path combination on the premise that all defect types involved in the single influence path in the cross-process analysis result are known; a contribution conduction factor definition unit for reversely conducting to the preamble node based on the posterior probability of each homologous dependent path combination and defining all contribution conduction factors of each affected path; And the conduction factor tracing accumulation unit is used for tracing and accumulating all contribution factors of all influence paths to obtain the defect evolution contribution degree of the preamble procedure of each defect position.
8. The timing attention and digital twinning-based cable accessory installation process traceability system according to claim 7, wherein the posterior probability calculation unit comprises: The prior probability calculating subunit is used for calculating the prior probability of each influence path in the cross-procedure analysis result; A likelihood calculation subunit, configured to calculate likelihood that all defect types related to the corresponding influence path appear under the condition that the corresponding influence path is given; The posterior probability calculation subunit is configured to calculate, based on the prior probability of each affected path in the cross-process analysis result, the likelihood of all defect types related to the corresponding affected path, and the prior probability of all defect types related to the corresponding affected path, the posterior probability that the corresponding affected path is the one that causes all defect types related to the corresponding affected path on the premise that all defect types related to the corresponding affected path are known.
9. The timing attention and digital twinning based cable accessory installation process traceability system according to any one of claims 1 to 8, further comprising: And the optimization scheme generation module is used for predicting defect evolution and generating an optimal optimization scheme.
10. The timing attention and digital twinning-based cable accessory installation process traceability system according to claim 9, wherein the optimization scheme generation module comprises: the comprehensive risk calculation sub-module is used for calculating the comprehensive risk coefficient of each defect position based on the risk density value, the root cause retrospective reasoning chain and the physical parameter of each defect position; The defect evolution prediction sub-module is used for building a current defect evolution network based on root cause tracing reasoning chains of all defect positions, and carrying out defect evolution prediction based on the current defect evolution network and comprehensive risk coefficients of all defect positions to obtain a complete defect evolution prediction network; The optimization scheme generation sub-module is used for producing a plurality of hypothesis optimization schemes based on the complete defect evolution prediction network, simulating the risk reduction rate of the complete defect evolution prediction network under each hypothesis optimization scheme, and taking the hypothesis optimization scheme with the maximum risk reduction rate in all the hypothesis optimization schemes as the optimal optimization scheme.
11. The timing attention and digital twinning-based cable accessory installation process traceability system according to claim 10, wherein the optimization scheme generation sub-module comprises: the defect optimization evolution prediction unit is used for inputting each hypothesis optimization scheme into the complete defect evolution prediction network and updating state parameters of all network nodes to generate a defect optimization evolution prediction network; the front and back risk index analysis unit is used for analyzing the risk index before optimization of the complete defect evolution prediction network, simulating the defect development trend in the future period based on the defect optimization evolution prediction network and generating the risk index after optimization of each hypothesis optimization scheme; The risk reduction rate analysis unit is used for analyzing the risk reduction rate of the complete defect evolution prediction network under each hypothesis optimization scheme based on the risk index before optimization and the risk index after optimization of each hypothesis optimization scheme; And the optimal optimization scheme screening unit is used for taking the hypothesis optimization scheme with the maximum risk reduction rate in all the hypothesis optimization schemes as the optimal optimization scheme.
12. The cable accessory installation process tracing method based on time sequence attention and digital twinning is characterized by comprising the following steps of: acquiring real-time captured hand motion time sequence data of a cable installer, generating local three-dimensional point cloud data of a cable accessory, and acquiring defect data of each procedure; Feature extraction is carried out on hand action time sequence data through a time sequence attention network, and a causal model of an action sequence and a process quality index is generated by combining the association relation between construction actions and process quality; Generating a defect tracing thermodynamic diagram based on the local three-dimensional point cloud data; performing association analysis on association relations among the working procedures, and identifying a cross-working procedure analysis result; Root cause tracing is performed based on the defect tracing thermodynamic diagram, the cross-process analysis result and the defect data of each process.
13. The method for tracing a cable accessory installation process based on time series attention and digital twinning of claim 12, further comprising predicting defect evolution and generating an optimal optimization scheme.

Description

Cable accessory installation process traceability system and method based on time sequence attention and digital twinning Technical Field The invention relates to the technical field of cable installation, in particular to a cable accessory installation process traceability system and method based on time sequence attention and digital twinning. Background In an electric power system, cables are used as key carriers for electric energy transmission, and the installation quality of accessories is directly related to the stability and safety of electric power supply. With the rapid development of the power industry, the cable laying scale is continuously enlarged, and the complexity of the cable accessory installation process is also increasing. The high-quality execution of the cable accessory installation process is ensured, and the method is important for reducing power faults and guaranteeing the reliable operation of a power grid. The cable accessory installation process involves multiple procedures and numerous operational details, and problems with any one link can lead to potential safety hazards. Traditional cable accessory installation process management mainly relies on manual experience and post-inspection, and is difficult to comprehensively monitor and analyze the installation process in real time. This makes it difficult to trace back the root of the problem quickly and accurately when quality problems occur, and thus effective improvement measures cannot be taken in time. With the continuous development of digital twin technology and artificial intelligence algorithm, a new opportunity is brought to the management of the cable accessory installation process, the development of the power industry towards the intelligent and refined direction can be promoted, and the method has a wide application prospect in the aspect of ensuring the safe and stable operation of the power system. However, the existing cable accessory mounting process management technology has a plurality of defects. Due to the lack of effective data processing and analysis means, understanding of process quality influence factors is not deep enough, defect distribution and potential reasons cannot be accurately determined, potential problems in the process cannot be comprehensively mastered, root cause tracing and defect evolution prediction cannot be performed, an optimal optimization scheme cannot be generated, and the process quality of cable accessory installation is difficult to effectively improve. Therefore, the invention provides a cable accessory installation process traceability system based on time sequence attention and digital twinning. Disclosure of Invention The invention provides a cable accessory installation process traceability system and method based on time sequence attention and digital twinning, which can capture hand motion time sequence data of cable installation workers in real time, generate local three-dimensional point cloud data of the cable accessories and acquire defect data of each procedure, and provide a comprehensive and real-time data basis for subsequent analysis. The time sequence attention network is used for extracting the characteristics of the hand action time sequence data, and a causal model is generated by combining the association relation between the construction action and the process quality, so that the inherent relation between the action and the process quality can be deeply excavated, and a powerful basis is provided for process evaluation. And generating a defect traceability thermodynamic diagram based on the local three-dimensional point cloud data, the causal model and the defect data, displaying possible sources of defects in an intuitive visual mode, and conveniently and rapidly positioning a problem area. And carrying out association analysis on the output of the causal model of the preamble process and the real-time defect data, and identifying the cross-process analysis result, thereby being beneficial to finding potential influence relations among different processes and comprehensively grasping the technological process. Root cause tracing is performed based on defect tracing thermodynamic diagrams, cross-process analysis results and defect data of each process. The first aspect of the invention provides a cable accessory installation process traceability system based on time sequence attention and digital twinning, which comprises the following components: the multi-mode data acquisition module is used for capturing hand motion time sequence data of a cable installer in real time, generating local three-dimensional point cloud data of a cable accessory and acquiring defect data of each procedure; The time sequence process fingerprint extraction module is used for carrying out feature extraction on hand action time sequence data through a time sequence attention network and generating a causal model of an action sequence and a process quality index by combining th