Research on Key Technologies for Concurrent Conflict Detection in Complex Equipment Maintenance Under Collaborative Virtual Environment

With the wide application of collaborative virtual environment in complex equipment maintenance training, the problem of concurrent control of personnel operation has become an important issue to guarantee the stability and safety of the system. In this paper, a conflict detection method based on heuristic classification is proposed to address this problem, combining the attention mechanism and feature optimization strategy, constructing a personnel operation semantic understanding module and an operation conflict detection module, and realizing semantic correlation analysis and conflict classification detection of personnel operations. The experimental results show that the classification accuracy and robustness of the proposed method in complex scenarios are significantly better than that of traditional methods, and it can provide stability and safety guarantee for the cooperative virtual maintenance training system.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019275
Primary Topic
Advanced Decision-Making Techniques
Type
article
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article

Research on Key Technologies for Concurrent Conflict Detection in Complex Equipment Maintenance Under Collaborative Virtual Environment

Xuedong Xue, Zihui Shi, Wei Peng, Shuai Zhang
Advanced Decision-Making Techniques
article

Research on Key Technologies for Concurrent Conflict Detection in Complex Equipment Maintenance Under Collaborative Virtual Environment

Xuedong Xue, Zihui Shi, Wei Peng, Shuai Zhang
article en

Abstract

With the wide application of collaborative virtual environment in complex equipment maintenance training, the problem of concurrent control of personnel operation has become an important issue to guarantee the stability and safety of the system. In this paper, a conflict detection method based on heuristic classification is proposed to address this problem, combining the attention mechanism and feature optimization strategy, constructing a personnel operation semantic understanding module and an operation conflict detection module, and realizing semantic correlation analysis and conflict classification detection of personnel operations. The experimental results show that the classification accuracy and robustness of the proposed method in complex scenarios are significantly better than that of traditional methods, and it can provide stability and safety guarantee for the cooperative virtual maintenance training system.

PLA Army Engineering University (CN)
Openalex Percentile: Top 82%
Advanced Decision-Making Techniques
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Research on Key Technologies for Concurrent Conflict Detection in Complex Equipment Maintenance Under Collaborative Virtual Environment — Xuedong Xue, Zihui Shi, et al. · (2025) | TGRS Research Map | TGRS