An early warning method for potential collision risk of dam surface construction machinery based on large scene video surveillance
Based on large-scene video monitoring,it is important to realize the potential collision risk warning of dam construction machinery to ensure the safety of dam surface construction.However,at present,it mainly re-lies on manual experience to judge the potential collision risk of dam surface construction machinery,which is prone to problems such as omission and misjudgment.Therefore,this paper proposes an early warning method for potential collision risk of dam surface construction machinery based on large-scene video surveillance.First,based on Trajectron++algorithm,the trajectory prediction of multi-type construction machinery with large quanti-ty in the future period of time in the large-scene video surveillance of the dam surface is realized through transfer learning;then,the drive proximity time and maximum crowdedness of machinery are proposed as the quantitative indexes of the potential collision risk of the construction machinery on the dam surface,and the fuzzy membership function of potential collision risk graded warning under different driving speeds of construction machinery is estab-lished based on the fuzzy rules;finally,the warning results of the two indicators are fused with evidence fusion theory to obtain the final warning level.The proposed method is tested on the large-scene video surveillance of the Lianghekou dam construction site.The average displacement error and the final displacement error of the trajectory prediction of the construction machinery on the dam surface in the next 6 seconds are 1.17 and 2.36 m,respectively,and the fuzzy-evidence fusion-based potential collision risk grading warning results of the construc-tion machinery provide an automated and intelligent analysis method for the construction safety of the dam surface.
construction machinery safetylarge-scene video surveillancetrajectory predictionfuzzy-evidence fusiongraded warning
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