摘要
针对当前煤炭行业的安全生产和管理现状,开发了一套高智能化、高可靠性的煤矿智能安检信息管理系统。在Windows 2000环境下,建立基于MATLAB软件平台下的模糊推理系统(FIS),利用C#与MATLAB语言混合编程及引擎调用技术,对矿井环境中瓦斯浓度进行模糊推理预测,并利用自适应神经模糊推理系统(ANFIS)模块对FIS结构进行优化训练,结合专家知识库提供在线事故原因分析和相应措施;同时利用Simulink模块库,结合虚拟现实技术,模拟井下动态采掘过程。系统在运行结构上分为实时数据采集显示、历史数据查询与维护、统计历史数据图形、显示打印数据报表、专家决策执行、报警停机六个部分。
In view of current safety product and administrate situation of coal industry, so it is indispensable to develop coal mine intelligent safety monitoring system, and it also should be high intelligentzing and reliability. This system is under Windows 2000, using the skills of program mixing C # and MATLAB, establish a fuzzy inference system on MATLAB software platform, and make fuzzy inference and forecast to the gas in the mine environment. Also using the ANFIS module of MATLAB to train the FIS structure, to get further structure optimizing, combining the expert experience to analyze the reason of accident on line; at meantime, we can also build dynamic system model on Simulink platform through VRML method to reappear the situation of the coal mine so as to process the real - time monitoring. In running structure, the intelligent monitoring system consists of five modules： the real - time monitoring and displaying, query, deletion and maintenance of history data, graphic statistic, report printing, expert diagnosis and decision - making support module. This system research, development and promoted application will provide the safeguard regarding the mine pit security work.
出处
《煤炭工程》
北大核心
2009年第4期104-107,共4页
Coal Engineering
关键词
煤矿信息管理系统
FIS
ANFIS
C#
SIMULINK仿真
coal mine monitoring management system
fuzzy inference system
adaptive neuro -fuzzy inference system
C sharp
simulink simulation
