journal article·2024-02-26Open access

A Method for Matching Information of Substation Secondary Screen Cabinet Terminal Block Based on Artificial Intelligence

Weiguo Cao, Zhong Chen, Congying Wu, Tiecheng Li

Applied Sciences· Volume 14· Issue 5

Abstract

The matching of schematic diagrams and physical information of terminal blocks in substation secondary screen cabinets plays a crucial role in the operation and maintenance of substations. To enhance the automation level of this task and reduce labor costs, a method for identifying and matching information of terminal blocks in substation secondary screen cabinets based on artificial intelligence is investigated in this paper. Initially, multi-layer object detection networks, tailored to the characteristics of both the schematic diagrams and the physical entities in substation secondary screen cabinets, are designed for the precise extraction of information. Subsequently, network topologies for both the schematic and physical systems are established using the Neo4j database, which allows for the digital storage of information in the substation secondary screen cabinet systems. Finally, the branch-and-bound method, improved by the application of a multi-modular graph convolutional network (MGCN) and deep Q-network (DQN), is employed to solve the maximum common subgraph (MCS) problem, resulting in the rapid and efficient matching of schematic and physical data.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Neural Network Applications · Vehicle License Plate Recognition · Automated Road and Building Extraction

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical Engineering, Southeast University, Nanjing 210096, China

State Grid Economic and Technological Research Institute Co., Ltd., Biejing 100005, China

Power Science and Research Institute of State Grid Hebei Power Co., Wuhan 430024, China

Funding

State Grid Headquarters Science and Technology Project “Research on Unified and Shared Modelling and Intelligent Application Technology for the Whole Secondary System of Substation”

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