Construction environment risk analysis method and system based on deep learning

The embodiment of the invention relates to the technical field of data processing, in particular to a construction environment risk analysis method and system based on deep learning, and aims to realize comprehensive and accurate risk analysis of a construction environment by comprehensively applyin...

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Bibliographische Detailangaben
Hauptverfasser:	ZHANG XIANGJIAN, ZHAO ZHIQIANG, BAO DONGYANG, CHENG QIANGQIANG, ZHANG LINGLEI, ZHENG XIAODING, ZHU ZHENGWEI, WANG CHENHUI
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The embodiment of the invention relates to the technical field of data processing, in particular to a construction environment risk analysis method and system based on deep learning, and aims to realize comprehensive and accurate risk analysis of a construction environment by comprehensively applying multiple element relationship network dimensions and deeply mining construction environment sensing monitoring data. And important technical support and decision support are provided for construction project management. 本发明实施例涉及数据处理技术领域，具体涉及基于深度学习的施工环境风险分析方法及系统，通过综合运用多种要素关系网维度和深入挖掘施工环境传感监测数据，实现了对施工环境全面、精准的风险分析，为施工项目管理提供了重要的技术保障和决策支持。