According to the bridge crane intelligent safety monitoring method and device based on multi-source data fusion, by integrating the lateral pressure type pressure sensor, the intelligent camera, the displacement sensor and the electromagnetic sensor, multi-dimensional collection of weight, image, position and broken wire data is achieved. A multi-source data stream is processed by adopting frequency division sampling and a time synchronization mechanism, and accurate detection of personnel in a dangerous area is realized by combining a convolutional neural network configured by a self-adaptive residual block. The system monitors multi-dimensional safety risks such as weight overrun of a hoisted object, breakage of a steel wire rope and deviation of a lifting hook track at the same time, and all-dimensional intelligent monitoring of the operation process of the crane is achieved. The problem that a traditional single monitoring scheme is insufficient in perception capability is effectively solved, and the accuracy of safety early warning is improved.
本申请实施例提供一种基于多源数据融合的桥式起重机智能安全监测方法及装置,通过集成旁压式压力传感器、智能摄像机、位移传感器和电磁传感器,实现重量、图像、位置和断丝数据的多维采集。采用分频采样和时间同步机制处理多源数据流,结合自适应残差块配置的卷积神经网络实现危险区域人员精确检测。系统同时监测吊物重量超限、钢丝绳断裂和吊钩轨迹偏离等多维度安全风险,实现了起重机作业过程的全方位智能监控。本申请有效解决了传统单一监测方案感知能力不足的问题,提升了安全预警的准确性。
Bridge crane intelligent safety monitoring method and device based on multi-source data fusion
基于多源数据融合的桥式起重机智能安全监测方法及装置
2025-03-04
Patent
Electronic Resource
Chinese
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