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.
关键词
智慧工地/车辆冲洗监测数据/数据异常/影响因素
Key words
smart construction site/vehicle-washing monitoring data/data anomaly/influence factor
维普
万方数据