Automatic monitoring method for infrastructure construction operation violation based on multi-modal data fusion

By employing multimodal data fusion and dynamic weight allocation techniques, the problem of data interference in complex environments for infrastructure construction safety monitoring systems has been solved, enabling efficient and reliable identification and monitoring of violations, and improving the system's engineering practicality and computational efficiency.

CN120974243AActive Publication Date: 2025-11-18BEIJING HUALIAN POWER ENG SUPERVISION CO +2
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Patent Information

Application Number
CN202511501296.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-21
Publication Date
2025-11-18
Estimated Expiration
2045-10-21

AI Technical Summary

Technical Problem

Existing infrastructure construction safety monitoring systems are susceptible to environmental interference due to a single data source, have low efficiency in utilizing multi-source data, and lack effective data arbitration and fusion mechanisms, leading to inconsistent conclusions in determining violations.

Method used

By employing a multimodal data fusion and dynamic weight allocation mechanism, combined with environmental adaptive perception and multi-source data conflict resolution technology, automatic monitoring and pattern recognition in the construction environment are achieved through multimodal spatiotemporal feature fusion, dynamic weight allocation, and behavioral pattern matching.

Benefits of technology

It improves the accuracy and robustness of violation monitoring, reduces the probability of false alarms and missed alarms, realizes intelligent full-chain supervision of the construction process, and outputs reliable violation judgment results.

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Abstract

The invention discloses an automatic monitoring method for infrastructure construction operation violation based on multi-modal data fusion, and belongs to the technical field of graphic data processing and pattern recognition, and the method comprises the steps: obtaining multi-modal source data of a target scene, carrying out the data recognition and standardization processing of the multi-modal source data, and generating preprocessing feature data; acquiring an on-site environment condition, and generating an environment state parameter; performing dynamic weight distribution on the preprocessed feature data based on the environment state parameters to generate weighted feature data; performing multi-source data conflict judgment and resolution on the weighted feature data to generate conflict resolution event data; and based on a preset behavior rule pattern library, performing behavior pattern matching on the conflict resolution event data to generate a violation judgment result. According to the method, a multi-modal spatial-temporal feature fusion and dynamic weight distribution mechanism is adopted, and an environment adaptive perception and multi-source data conflict resolution technology is combined, so that automatic monitoring and pattern recognition of illegal behaviors in a construction environment can be realized.
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