[1]FU Xiang,WANG Ranfeng.Hydraulic fluid supply process control of coal mine based on consciousness, emotion, and intelligence[J].CAAI Transactions on Intelligent Systems,2018,13(4):640-649.[doi:10.11992/tis.201704013]
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Hydraulic fluid supply process control of coal mine based on consciousness, emotion, and intelligence

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 4 Page number: 640-649 Column: 学术论文—智能系统 Public date: 2018-07-05
Title:
Hydraulic fluid supply process control of coal mine based on consciousness, emotion, and intelligence
Author(s):
FU Xiang;  WANG Ranfeng
College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Keywords:
general theory of artificial intelligence; hydraulic fluid supply of coal mine; intelligent control model; perception action; ANN; physical symbol system
CLC:
TP18;TD672
DOI:
10.11992/tis.201704013
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.
References:
[1] 钟义信. 高等人工智能原理:观念·方法·模型·理论[M]. 北京:科学出版社, 2014.
[2] 钟义信. 机制主义人工智能理论-一种通用的人工智能理论[J]. 智能系统学报, 2018, 13(1):2-18. ZHONG Yixin. Mechanism-based artificial intelligence theory:a universal theory of artifical intelligence[J]. CAAI transactions on intelligent systems, 2018, 13(1):2-18.
[3] 汪培庄. 因素空间理论——机制主义人工智能理论的数学基础[J]. 智能系统学报, 2018, 13(1):37-54. WANG Peizhuang. Factor space-mathematical basis of mechanism based artificial intelligence theory[J]. CAAI transactions on intelligent systems, 2018, 13(1):37-54.
[4] 何华灿. 泛逻辑学理论——机制主义人工智能理论的逻辑基础[J]. 智能系统学报, 2018, 13(1):19-36. HE Huacan. Universal logic theory:logical foundation of mechanism-based artificial intelligence theory[J]. CAAI transactions on intelligent systems, 2018, 13(1):19-36.
[5] 何华灿. 人工智能基础理论研究的重大进展-评钟义信的专著《高等人工智能原理》[J]. 智能系统学报, 2015, 10(1):163-166. (未找到本条文献英文信息, 请补充)
[6] 何华灿. 人工智能导论[M]. 西安:西北工业大学出版社, 1988:1-266.
[7] 蔡自兴, 徐光佑. 人工智能及其应用[M]. 3版. 北京:清华大学出版社, 2003:1-403. CAI Zixing, XU Guangyou. Artificial intelligence:principles and applications[M]. 3rd ed. Beijing, China:Tsinghua University Press, 2003:1-403.
[8] 陆汝钤. 人工智能[M]. 北京:科学出版社, 1995:1-1296.
[9] NILSSON N J. 人工智能[M]. 郑扣根, 庄越挺, 译. 北京:机械工业出版社, 2000:1-281.
[10] 杨涛, 李文英. 基于压力控制的多泵并联乳化液泵站系统研究[J]. 煤矿机械, 2008, 29(9):111-113. YANG Tao, LI Wenying. Research of multi-emulsion pump station system based on pressure control[J]. Coal mine machinery, 2008, 29(9):111-113.
[11] 李江泽. 基于PLC变频调速的综采工作面恒压供液系统[J]. 煤矿机电, 2012(2):75-77. LI Jiangze. Frequency control constant voltage feed hydraulic system based on PLC at fully mechanized coal face[J]. Coal mine mechatronics, 2012(2):75-77.
[12] 宿吉奎, 廉自生. 乳化液泵站的模糊PID控制系统仿真[J]. 煤矿机械, 2012, 33(7):54-56. SU Jikui, LIAN Zisheng. Simulation of fuzzy-PID control system in emulsion pump station[J]. Coal mine machinery, 2012, 33(7):54-56.
[13] LIU Chang, LIAN Zisheng. Study and simulation of emulsion pump pressure controller based on fuzzy-immune pid algorithm[C]//Proceedings of 2011 International Conference on Computer Science and Information Technology (ICCSIT 2011). Singapore:IACSIT Press, 2012:666-669.
[14] TAN Chao, QI Nan, ZHOU Xin, et al. A pressure control method for emulsion pump station based on Elman neural network[J]. Computational intelligence and neuroscience, 2015, 2015:684096.
[15] 王然风, 付翔, 赵阳升, 等. 适应液压支架动作的稳压供液技术研究[J]. 工矿自动化, 2018, 44(2):32-38. WANG Ranfeng, FU Xiang, ZHAO Yangsheng, et al. Research on stabilized pressure hydraulic fluid supply technology adapted to hydraulic support action[J]. Industry and mine automation, 2018, 44(2):32-38.
[16] 付翔, 王然风, 袁继成, 等. 煤矿乳化液泵变频/工频切换控制[J]. 工矿自动化, 2017, 43(1):77-80. FU Xiang, WANG Ranfeng, YUAN Jicheng, et al. Switching control between variable frequency and power frequency of emulsion pump in coal mine[J]. Industry and mine automation, 2017, 43(1):77-80.
[17] 钟义信. 信息科学与技术导论[M]. 3版. 北京:北京邮电大学出版社, 2015.
[18] ZHONG Yixin. A theory of semantic information[J]. China communications, 2017, 14(1):1-17.
[19] 付翔. 支架运行自适应智能供液理论与技术研究[D]. 太原:太原理工大学, 2017:72-82. FU Xiang. Research on intelligent hydraulic fluid supply theory and technology for adapting supports operation[D]. Taiyuan, China:Taiyuan University of Technology, 2017:72-82.
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