Intelligent construction site intelligent monitoring system based on big data analysis

Abstract

The application relates to the technical field of big data application, in particular to a smart construction site intelligent monitoring system based on big data analysis, which comprises a data segment construction module, a crane segment set generated according to time jump and numerical turning point, a behavior trajectory mapping module, a trajectory result generated according to symbol feature grouping, a work state recognition module, a work relationship sequence generated by comparing human-computer displacement directions, an abnormal section analysis module, an abnormal linkage set generated by comparing states and alarms, a monitoring risk matrix generation module, and an abnormal record collation output monitoring result. The application extracts fine data segments by combining time and numerical inflection points, constructs trajectory trends with direction characteristics by synchronizing displacement and time change, establishes continuous work action relationships based on human-computer direction correspondence, generates closely connected abnormal sections by relying on state switching and alarm retrieval, makes risk records keep clear boundaries in time sequence, and forms intelligent monitoring results with complete logic.

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