水利工程安全风险双预控智能决策系统研究
Research of dual pre-control intelligent decision system for water conservancy project safety risk
陶飞飞 1邵勇 2皮妍玲 1刘敏 3章猛 1陈逸轩1
作者信息
- 1. 河海大学计算机与信息学院,南京 211100
- 2. 江苏省太湖治理工程建设管理局,江苏常州 213001;江苏省水利工程建设局,南京 210029
- 3. 武汉博晟安全技术股份有限公司,武汉 430070
- 折叠
摘要
针对当前水利安全风险管控能力提升的需求,研究了面向水利工程安全风险管控与隐患排查的双预控智能决策系统关键技术.构建了基于微服务架构的水利工程安全风险评价模型库,研发了基于机器学习的安全风险智能分级评价技术及任务场景驱动下的隐患集挖掘预警技术,设计并实现了水利工程安全风险管控和隐患排查双预控智能决策系统,提升了水利安全风险防控的智能化水平,科学防范和有效遏制了水利生产安全事故.
Abstract
In response to the current demand for improvement of water conservancy project safety risk pre-vention and control capabilities,the key techniques of dual pre-control intelligent decision system facing the risk management and control of water conservancy project are researched.The safety risk evaluation model base of water conservancy project is established,and the techniques of risk classification intelligent evalua-tion based on machine learning and forewarning of hidden dangers set mining driven by task scenario is built.The system realizes the dual pre-control intelligent decision system facing the risk management and control of water conservancy project,which improves the intelligent level of water conservancy project safety risk prevention and control.Meanwhile,water conservancy production safety accidents can be also preven-ted or treated scientifically and effectively.
关键词
安全风险管控/隐患排查/智能决策/模型库/机器学习Key words
safety risk control/hidden danger management/intelligent decision/model base/machine learning引用本文复制引用
基金项目
江苏省水利科技项目(2020014)
国家重点研发计划项目(2018YFC1508100)
国家自然科学基金项目(42001250)
出版年
2024
NETL
NSTL
万方数据