基于大数据的塔式起重机安全监控技术研究与工程应用

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中图分类号：TU61 文献标志码：A 文章编号：2095-2945(2026)03-0140-05

Abstract:Againstthebackgroundoftherapidintegrationofdigitaleconomyandinteligentconstruction,thesafety monitoringtechnologyoftowercranesfaceschallngessuchaslaggingdatafromtraditionalmethods，insufcientarlywarning anddificultyinmultimachinecoordination.ThisresearchusestheScienceHallprojectoftheWestern(Chongqing)ScienceCity asanengineringcariertoproposeatowercranesafetymonitoringtechnologysystembasedonbigdata.Bydeployingasmart sensornetwork(includingweight,amplitude,tilt，etc.sensors)，combiningdisributeddatastorage(Hadop)andreal-timeanalysis framework (Spark Streaming)，areal-timemonitoringsystemwithmulti-sourcedatafusionisuilt.Theisolatedforestalgorithm andrandomforestmodelareinnovativelyintroducedtorealizeabnormalloaddetectionandstructuralstressprediction，withan earlywarningresponsetimeof lessthan5Oms.Atthesametime,adistributedanti-colioncommunicationprotocolanda three-dimensionalspacecolisiondetectionmodelweredeveloped，combinedwith433MHzwirelessmodulesandtimedivision multipleacss (TDMA）technologytoachievedynamiccoordinationofgrouptoweroperations，andtheanti-colisionwaming accuracy rate reached 98.7% . Engineering applications show that the system reduces the incidence of safety accidents by 82% ， improves construction efficiency by 12% ，and optimizes the management model through hook visualization technology and remote monitoring.Theresearch providesreplicabletechnicalsoutionsfortowercranesafetymanagementincomplexurbanenvironments and promotes the transformation of the construction field to digitalization and intelligence.

Keywords:tower crane;safety monitoring;big data analysis；anti-collsion technology；smart construction site

在数字经济与智能建造快速发展的背景下，建筑施工领域对“智慧工地"的需求日益迫切。（剩余9169字）