Intelligent construction safety monitoring system and method based on multi-modal data fusion

The intelligent construction safety monitoring system, which integrates multimodal data fusion, utilizes 5GMEC and multimodal data processing technology to achieve high-precision construction safety monitoring, rapid anomaly detection, and real-time decision support, thus solving the problems of low accuracy and slow response of multi-source data fusion in existing technologies.

CN120873891APending Publication Date: 2025-10-31WANJITAI TECH GRP DIGITAL CITY TECH CO LTD
0 Cites 6 Cited by

Patent Information

Application Number
CN202510861262.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-10-31

AI Technical Summary

Technical Problem

Existing construction safety monitoring systems suffer from low accuracy in multi-source data fusion, poor anomaly detection efficiency, and slow system response, failing to meet the safety monitoring needs of modern large-scale and complex projects.

Method used

The intelligent construction safety monitoring system employs multimodal data fusion, including a heterogeneous data spatiotemporal alignment module based on 5GMEC, a feature-level fusion network, a NeRFXL fusion engine, a multi-task anomaly detector, and a dynamic knowledge graph engine. It achieves registration of laser point clouds and BIM models through an improved Fast-ICP algorithm, and combines a dual-stream deep separable convolutional network, multi-scale neural radiation field fusion, and graph neural network to realize collaborative analysis of multimodal data and real-time anomaly detection.

Benefits of technology

It improves the accuracy of multi-source data fusion, achieves a cross-modal feature association accuracy of 98.7%, anomaly detection speed of 120 frames/second, system response latency of <200ms, knowledge graph reasoning response time of <500ms, and can provide early warning and automatically push disposal solutions 10 minutes in advance.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of safety monitoring of constructional engineering, in particular to an intelligent construction safety monitoring system and method based on multi-modal data fusion, and the system comprises a plurality of modules: a 5GMEC-based heterogeneous data space-time alignment module which completes coordinate system conversion between laser point cloud and a BIM model by using an improved Fast-ICP algorithm; the feature level fusion network comprises a geometric feature branch (improved unscented Kalman filter processing point cloud normal vector) and a time sequence feature branch (LSTM processing stress sensor data); the NeRFXL fusion engine is used for fusing the point cloud and the video data by adopting a multi-scale neural radiation field; the multi-task anomaly detector is used for constructing a hierarchical Transform architecture and introducing a modal gating mechanism; and the dynamic knowledge graph engine constructs a knowledge graph updating module based on a graph neural network, and all the modules are in communication connection with one another and work cooperatively, so that functions of data processing, fusion, anomaly detection, knowledge updating and the like are realized.
Need to check novelty before this filing date? Find Prior Art