基于意识-情感-智能三位一体的煤矿供液过程控制

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Title:

Hydraulic fluid supply process control of coal mine based on consciousness, emotion, and intelligence

作者:

付翔, 王然风

太原理工大学 矿业工程学院, 山西 太原 030024

Author(s):

FU Xiang, WANG Ranfeng

College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

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

Keywords:

general theory of artificial intelligence; hydraulic fluid supply of coal mine; intelligent control model; perception action; ANN; physical symbol system

分类号:

TP18;TD672

DOI:

10.11992/tis.201704013

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。

Abstract:

To ensure safe and efficient hydraulic support at the coal face and to improve the intelligence level of the hydraulic fluid supply system, in this study, we analyzed multilayer intelligent control targets and designed an intelligent control model of the hydraulic fluid supply system with reference to the concepts of consciousness, emotion, and intelligence in artificial intelligence theory. In view of the basic nature of existing fluid supply control technology with respect to automation levels, we designed a stabilized-pressure fluid supply prediction technology at an immature intelligence 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 supply system to achieve intelligent control of the hydraulic fluid supply process. We conducted industrial tests at the 8110 fully mechanized work face of the Wangzhuang Coal Mine of the Lu’an Group, and achieved an ideal control effect.