摘要
为保障煤矿工作面液压支架安全高效运行,提高供液系统智能化水平,通过分析供液系统多层智能控制目标,借鉴高等人工智能原理中的意识–情感–智能三位一体思想,设计并构建了供液系统的智能控制模型。针对现有自动化水平的供液基础控制技术、欠成熟智能化水平的稳压供液预测技术和成熟智能化水平的智能供液控制技术,分别设计基础意识模块、情感模块和理智与决策模块的功能结构,并将其嵌入智能供液系统,实现供液过程智能控制。上述系统在潞安集团王庄煤矿8110综采工作面进行了工业性试验,并取得了理想的控制效果。
To ensure safe and efficient hydraulic support at the coal face and to improve the intelligence level of the hy-draulic fluid supply system, in this study, we analyzed multilayer intelligent control targets and designed an intelligentcontrol model of the hydraulic fluid supply system with reference to the concepts of consciousness, emotion, and intelli-gence in artificial intelligence theory. In view of the basic nature of existing fluid supply control technology with re-spect to automation levels, we designed a stabilized-pressure fluid supply prediction technology at an immature intelli-gence level and an intelligent supply control technology at a mature intelligence level, as well as basic consciousness,emotion, and intelligence & decision modules. We then embedded these modules into the intelligent hydraulic fluid sup-ply system to achieve intelligent control of the hydraulic fluid supply process. We conducted industrial tests at the 8110fully mechanized work face of the Wangzhuang Coal Mine of the Lu’an Group, and achieved an ideal control effect.
作者
付翔
王然风
FU Xiang;WANG Ranfeng(College of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China)
出处
《智能系统学报》
CSCD
北大核心
2018年第4期640-649,共10页
CAAI Transactions on Intelligent Systems
基金
国家自然科学基金项目(51404167)
关键词
通用型人工智能理论
煤矿供液
智能控制模型
感知动作
神经网络
物理符号系统
general theory of artificial intelligence
hydraulic fluid supply of coal mine
intelligent control model
per-ception action
ANN
physical symbol system