China Safety Science Journal ›› 2018, Vol. 28 ›› Issue (7): 153-158.doi: 10.16265/j.cnki.issn1003-3033.2018.07.025

• Safety Social Engineering Work • Previous Articles     Next Articles

Research on statistical process control of metro construction workers'unsafe behaviors

GUO Shengyu, GUO Wenhui, GONG Peisong   

  1. Department of Management Science and Engineering,China University of Geosciences,Wuhan Hubei 430074,China
  • Received:2018-04-20 Revised:2018-06-02 Online:2018-07-28 Published:2020-11-25

Abstract: To effectively reduce behavioral risks and prevent accidents in metro construction activities,an ISPC method was worked out based on intelligent video surveillance.Firstly,workers' unsafe behaviors were classified according to safety standards and operating procedures,and automatically recognized through camera-based behavior analysis functions.Secondly,the abnormal change signs of target unsafe behavior were found by the ISPC method during the process of dynamic intelligent video monitoring on site,and thus a real-time warning system was established.Finally,this method was applied to a certain station of Wuhan Metro.The results show this method can be used to monitor intelligently construction sites and control in time and effectively the development of unsafe behaviors.

Key words: unsafe behavior, improved statistical process control (ISPC), intelligent video surveillance, accident prevention, metro construction

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