Collaborative diversion and optimization method of multi-agent nodes in process-oriented production safety data flow
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.