Study on the Influence Factors of Anomalies in Smart Construction Site's Vehicle-washing Monitoring Data
This study focuses on the smart construction site's vehicle-washing monitoring data,analyzing anomalies in the data,and comprehensively exploring various factors influencing the quality of vehicle-washing monitoring data.Through a specific analysis of data from ongoing construction projects in Nanjing's smart supervision platform,potential influences from human,equipment,material,method,and environmental factors on monitoring data are revealed.Corresponding strategies are proposed with the aim of enhancing the quality of vehicle-washing monitoring data in smart construction sites.
smart construction sitevehicle-washing monitoring datadata anomalyinfluence factor
万方数据
维普
