摘要
近年来,随着特种设备的普及,特种设备数量呈几何倍数增长,对特种设备的安全要求越来越高,特种设备的安全日渐成为大家关心的话题,保障特种设备安全俨然已成为事关民生的大事。为了减少特种设备事故的发生,提高对特种设备的监察和检验能力,本文利用大数据分析、云计算技术等信息化系统集成技术,强化特种设备的监管、检验、预测和预警能力,将特种设备数据的价值与监管结合起来,提高工作效能,促进特种设备稳定发展。
In recent years,there has been a significant increase in the use of special equipment,resulting in higher safety requirements and an increased focus on equipment security.As a result,ensuring the safety of special equipment has become a critical concern for society.In order to prevent accidents and enhance supervision and inspection capabilities,this paper proposes the use of big data analysis,cloud computing technology,and other information system integration technologies to improve the supervision,inspection,prediction,and early warning capabilities of special equipment.By combining the value of special equipment data with supervision,we can improve work efficiency and promote the stable development of special equipment while reducing the occurrence of accidents.
作者
杨巍利
Yang Wei-li(Jiangxi General Institute of Testing and Certification Development Institute Of Testing and Certification Technology,NanChang Jiangxi 330029,China)
出处
《江西化工》
2023年第2期95-99,共5页
Jiangxi Chemical Industry
关键词
特种设备
智慧监管
大数据
special equipment
intelligent supervision
big data