Construction environment dynamic perception and early warning method and system based on edge computing
By using edge computing and regional category recognition algorithms to perform real-time deviation calibration and abnormal signal tendency scoring of the construction environment, the problem of false alarms and missed alarms caused by sensor data drift is solved, and accurate monitoring and efficient early warning of risks at the construction site are achieved.
CN122416697APending Publication Date: 2026-07-17POWERCHINA RAILWAY CONSTR +2
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- POWERCHINA RAILWAY CONSTR
- Filing Date
- 2026-06-03
- Publication Date
- 2026-07-17
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Figure CN122416697A_ABST
Abstract
本发明公开了一种基于边缘计算的施工环境动态感知与预警方法及系统，包括：通过边缘计算节点采集环境数据，计算偏差系数得到校准后的环境参数，采用区域类别识别算法判断监测区域类别并确定对应的感知参数阈值；将实时数据与阈值比对触发异常信号得到异常信号集合；提取特征并采用预警倾向分析模型计算倾向性评分，确定高倾向性预警信息序列；选取高倾向性部分生成优先推送列表，并对剩余低倾向性信号建立持续监控队列；跟踪低倾向性信号发展趋势，若快速恶化则提升评分并更新推送列表；采用更新后的优先推送列表传输预警信息，并根据反馈调整感知参数阈值形成闭环校准机制。本发明实现了施工环境风险的精准感知、智能分级与动态优先推送。
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