摘要
由于制造车间作业环境复杂,异常突发事件都会对生产车间造成巨大的安全威胁和经济损失。车间生产现场异常事件数据难以连续、快速、完整传输一直是车间突发事件感知过程中的突出问题。针对该问题,提出一种智能协同组网方法,通过模糊处理方法将异常事件分为不同警戒级别,引入机器人智能体担任Sink智能节点,基于事件优先级改进传统组网方法,将智能节点和簇头节点协同组网,解决了当前组网方法不能及时有效应对车间突发异常事件的问题。
Due to the complex environment of intelligent manufacturing workshop, abnormal emergencies will cause huge security threats and economic losses to the workshop. It is difficult to transmit the abnormal event data continuously, quickly and completely in the workshop production site, and the fluctuation of abnormal event data is great with high requirements on the integrity and real-time of data transmission. In this paper, a multi-agent cooperative networking method for workshop emergencies is proposed. Mobile robots are introduced as intermediary Sink nodes for data transmission between sensor networks and the Internet. In case of emergencies, the intelligent node and cluster head node are jointly networked, which solves the problem that the current networking method can not deal with the unexpected incidents in the workshop in time and effectively.
作者
孔涛
王艳
Kong Tao;Wang Yan(Jiangnan University,Engineering Research Center of the Ministry of Education of Internet of Things Technology Application,Wuxi 214122,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2019年第12期2606-2616,共11页
Journal of System Simulation
基金
国家自然科学基金(61973138)
关键词
突发事件
智能体
协同组网
智能节点
Emergency
agent
collaborative networking
intelligent node
