高压电器2025，Vol.61Issue(5)：129-140,158,13.DOI:10.13296/j.1001-1609.hva.2025.05.014
异常事件下工业园区边缘节点集群自组织感知—控制功能迁移方法
Self-organizing Perception-control Function Migration Method of Edge Node Cluster in Industrial Park Under Abnormal Events
摘要
Abstract
With the rapid development of industrial environment,edge computing plays a crucial role in the intelli-gence of industrial park.In this paper,the self-organizing perception-control function migration method of edge node clusters under abnormal events is studied with purpose of improving the resilience and reliability of industrial park.Firstly,the abnormal scenarios are modeled in this paper to simulate the impact of both natural disasters and general fault abnormal events on the intelligent units.Then,the traditional maximum coverage problem is transformed into a perception system maximum range coverage problem,and corresponding algorithms and strategies are developed.On this basis,the perception-control function migration algorithm is designed and a multi-stage optimization method for resilience enhancement is proposed.It is verified through case analysis that the proposed method can quickly re-spond and reorganize the perception and control functions of the edge node cluster under abnormal events so to effec-tively enhance the observable and controllable range of the perception system of the industrial park.This study has important practical significance and theoretical value for ensuring the production safety,improving production effi-ciency and reducing operational costs of the industrial park.关键词
边缘计算/自组织网络/感知—控制功能迁移/异常事件/工业园区韧性/最大覆盖问题/多阶段优化/资源分配Key words
edge computing/self-organizing network/perception-control function migration/abnormal events/in-dustrial park resilience/maximum coverage problem/multi-stage optimization/resource allocation引用本文复制引用
刘艳丽,黄健,屈乐岩,郭瑜..异常事件下工业园区边缘节点集群自组织感知—控制功能迁移方法[J].高压电器,2025,61(5):129-140,158,13.基金项目
国家电网有限公司总部管理科技项目资助(5108-202218280A-2-419-XG).Project Supported by Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-419-XG). （5108-202218280A-2-419-XG）
