基于大数据的电梯安全风险监管模式研究  

Research on Elevator Safety Risk Supervision Mode Based on Big Date

作　　者：李恒[1] 李兵[1] 赵金强 吴占稳[1] 王新慧[1] Li Heng;Li Bing;Zhao Jinqiang;Wu Zhanwen;Wang Xinhui(China Special Equipment Inspection&Research Institute,Beijing 100029)

机构地区：[1]中国特种设备检测研究院,北京100029

出　　处：《中国特种设备安全》2023年第4期60-63,共4页China Special Equipment Safety

摘　　要：电梯作为日常生活中使用频率最高的一种“交通工具”,近年来发生的多起电梯安全事故引发了全社会的重点关注,特种设备安全监察人员对电梯监管模式提出了新的要求,也对行业提出了新的命题。本文考虑大数据发展的优势,结合风险评价的方式,建立基于大数据的电梯风险监管模式。根据监管工作需求,划定风险等级,并制定相应的风险消除措施,提高监察工作的效率和精准度。Elevator is the most frequently used“means of transportation”in daily life.Many elevator safety accidents in recent years have attracted the attention of the whole society.Special equipment safety supervisors have put forward new requirements for elevator supervision mode and new propositions for the industry.Considering the advantages of big data development,combined with the way of risk evaluation,this paper establishes an elevator risk supervision mode based on big data,delimits the risk level according to the needs of supervision,and formulates corresponding risk elimination measures to improve the efficiency and accuracy of supervision.

关 键 词：电梯 大数据 风险监管 评价 

分 类 号：X941[环境科学与工程—安全科学]