针对煤矿危险源预警系统空间分析的复杂性及对决策智能性的要求,在基于GIS的区域-单体联合评判预警模型研究的基础上,将人工智能中的多Agent技术引入到危险源预警系统中,形成了数据Agent、管理Agent、GIS-Agent等主要部件,设计出了基于GIS和多Agent的危险源预警系统,并结合具体项目进行案例实现,在危险源预警智能化方面做了有益的探索。

According to the space analysis complexity and the decision intelligent requirements of the mine dangerous source early warning system, based on the r esearch on the GIS regional-single combined judge early warning model, the multi Agent technology in the artificial intelligent was applied to the dangerous source earl y warning system to form the data Agent, management Agent, GIS-Agent, and other main component.Thus a dangerous source early warning system was designed bas ed on the GIS and multi Agent.In combination with the certain projects, the cases were conducted.The beneficial discoveries were conducted on the dangerous source early warning itelligent.