安全阀大数据分析下的故障情况及安全管理

Failure Situation and Safety Management of Safety Valve based on Big Data Analysis

本课题经过3年的时间共收集3万余条安全检验维修数据,其中覆盖茂石化化工分部、炼油分部等5000余台安全阀,由于企业运行情况的诸多因素,安全阀校验分为离线、在线及RBI风险评估,其中,离线采集数据较为准确,能有效的发现安全阀运行过程出现的问题,并可以根据所发现的问题及时进行维修处理。本文将根据收集的数据进行分析,并根据分析情况提出安全管理建议。

This project has collected more than 30,000 pieces of safety inspection and maintenance data in 3 years, covering more than 5,000 safety valves in Mao Petrochemical and Chemical Division, Oil Rerefining Division, etc. Due to many factors in the operation of enterprises, safety valve calibration can be divided into offline, online and RBI risk assessment. Among them, offline data collection is more accurate. Can effectively find the safety valve during the operation of the problem, and can be found according to the problem of timely maintenance treatment. In this paper, the collected data will be analyzed, and safety management recommendations will be put forward according to the analysis.