流程型生产安全数据流的多Agent节点协同分流优化方法
Collaborative diversion and optimization method of multi-agent nodes in process-oriented production safety data flow
张伟 1李泽亚 1张充 1赵挺生1
作者信息
- 1. 华中科技大学 土木与水利工程学院,湖北 武汉 430074
- 折叠
摘要
为实现流程型生产安全监测系统的及时、准确决策,结合数据流采集与隐患识别过程,分析非关键数据的冗余、关键数据的缺失和数据计算时延较大的问题,提出基于多Agent的流程型生产安全数据流网络分流调度规划方法和节点流量划分识别机制.研究结果表明:相较于分簇传输方法,数据流网络分流调度方法可以实现关键隐患数据更高的传输成功率;相较于常规的复杂事件处理方法,本文提出的流量划分识别机制在2 种类型数据集上实现隐患事件识别均有更低的计算时延.研究结果可为流程行业安全生产数字化管控模式和数据高质量获取提供参考.
Abstract
To achieve the timely and accurate decision-making of process-oriented production safety monitoring system,com-bining the data flow collection and hazard identification processes,the problems such as redundancy in non-critical data,ab-sence of critical data,and significant delays in data computation were analyzed,and a network diversion scheduling planning method of process-oriented production safety data flow and a node flow rate partition recognition mechanism based on multiple agents were proposed.The results show that compared to cluster-based transmission methods,the data flow network diversion scheduling method can achieve a higher transmission success rate for critical hazard data.Furthermore,in comparison to con-ventional complex event processing methods,the proposed flow rate partition recognition mechanism exhibits lower computa-tional latency for hazard event identification across two types of datasets.The research results can provide reference for the digitized management and control mode of work safety in process industries and the acquisition of high-quality data.
关键词
流程型生产/安全生产/数据流/多Agent/数据分流Key words
process-oriented production/work safety/data flow/multi-agent/data diversion引用本文复制引用
基金项目
国家重点研发计划项目(2021YFB3301100)
出版年
2024
NETL
NSTL
万方数据