摘要
油气行业涉及领域广,从业人员在作业过程中通常面临复杂的生产工艺、恶劣的工作环境及高强度的工作状态等,油气行业事故发生率常年居高不下,其中人为失误等事故原因所占比例超过70%。实现油气行业作业人员不安全行为的智能预警,对于减少油气行业事故的发生具有重要意义。油气行业作业人员的不安全行为主要包括错误行为与安全隐患行为。针对作业人员的不安全行为识别和预警,目前主要采用人员检查、事后分析及视频监控等方法,但是上述方法分别存在无法实时识别作业人员的错误行为,无法识别和预警作业人员的安全隐患行为等。视线追踪技术是通过捕捉作业人员的注视点与注视时间的变化过程,从而判断作业人员当前工作状态的一项技术。该技术具有反应灵敏、准确度高、无死角与可穿戴等特点,在医疗健康、交通安全、心理学等领域均已有较好的应用。利用视线追踪技术在人员状态监测等方面的优势,将其引入到油气行业作业人员不安全行为的识别或预警方法研究,用以探讨在该领域实现作业人员不安全行为智能预警的可行性。
The oil and gas industry involves a wide range of fields,and employees usually face complex production processes,harsh working environments,or high-intensity working conditions during operation.The unsafe behavior and poor working conditions of operators lead to a high incidence of accidents in the oil and gas industry.According to the investigation,human error accounts for more than 70%of industrial accidents.Therefore,preventing unsafe human behavior is the most critical way to reduce drilling accidents.Based on the characteristics of oil and gas industry operations and the movement of operators,this paper divides the unsafe behavior of operators into wrong behavior and safety hazards behavior.At present,the identification and early warning methods for unsafe behavior of operators mainly include personnel inspection,post-event analysis and video surveillance.However,the above warning methods have the shortcomings of not being able to identify or early warning in real-time and not being able to identify or warn warning of the potential safety hazards of the operators.Eye tracking technology is a technology to judge the current working state of the operator by capturing the change process of a person's fixation point and fixation time.It has the characteristics of sensitive response,high accuracy,no dead angle and wearable,and has good application in medical health,traffic safety,psychology and other fields.Therefore,this paper introduces the advantages of eye-tracking technology in personnel status monitoring in the early warning of unsafe behavior of operators in the oil and gas industry and discusses the feasibility of intelligent early warning in this field.
作者
胡瑾秋
陈传刚
吴明远
胡洋柏
HU Jinqiu;CHEN Chuangang;WU Mingyuan;HU Yangbai(College of Safety and Ocean Engineering,China University of Petroleum(Beijing),Beijing 102249,China;Key Laboratory of Oil and Gas Safety and Emergency Technology,Ministry of Emergency Management,Beijing 102249,China)
出处
《世界石油工业》
2024年第2期83-90,共8页
World Petroleum Industry
基金
国家重点研发计划“复杂油气智能钻井理论与方法—钻井工程地面安全监测与智能分析”(2019YFA0708304)
国家自然科学基金面上项目“信息安全威胁下油气智慧管道系统失效新型致灾机理与早期预警”(52074323)。
关键词
油气行业
作业人员
不安全行为
视线追踪
智能预警
oil and gas industry
operator
unsafe behavior
eye tracking technology
intelligent early warning