煤矿设备管理系统中的自适应直觉模糊推理数据挖掘方法  

Method of Data Mining of Adaptive Intuitionistic Fuzzy Reasoning in Mine Equipment Management System

作　　者：马海洲[1] 吕振雷[1] 

机构地区：[1]黄河水利职业技术学院,河南开封475004

出　　处：《煤炭技术》2014年第3期205-206,共2页Coal Technology

摘　　要：PID控制器(微分控制器)可以实现煤矿设备管理系统的智能化,获得高稳定性、高精度及提高分辨率与适应性,其能建立具有智能化功能的测控系统,从而克服测控系统本身不足。探讨了煤矿设备管理系统的PID控制的特点,具体分析了自适应直觉模糊推理数据挖掘方法,详细地论述了煤矿设备管理系统中的自适应直觉模糊推理数据挖掘方法与控制过程,进行了仿真分析,取得了比较好的控制效果。PID controller（differential controller） can intelligently mine equipment management system, the establishment of a monitoring system with intelligent features, is to overcome the lack of monitoring and control system itself, to obtain high stability, high accuracy and the necessity to improve the resolution and adaptability trends. Discusses the coal mining equipment management system PID control characteristics, detailed analysis of the adaptive intuitionistic fuzzy reasoning data mining method, discussed in detail in a coal mine equipment management system adaptive intuitionistic fuzzy reasoning data mining methods and control process, and the simulation analysis, and obtain good control effect.

关 键 词：模糊控制 数据挖掘 煤矿设备管理系统 PID控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]