软岩巷道锚注支护智能设计专家系统及应用-采矿与安全工程学报.pdfVIP

第33 卷 第1 期 采矿与安全工程学报 Vol.33 No.1 2016 年01 月 Journal of Mining Safety Engineering Jan. 2016 文章编号：1673-3363-(2016)01-0001-061 软岩巷道锚注支护智能设计专家系统及应用 王连国，陆银龙，孙小康 ( 中国矿业大学深部岩土力学与地下工程国家重点实验室，江苏 徐州 221116) 摘要 软岩巷道锚注支护设计是一个涉及水文地质、工程地质、开采条件、岩石力学等诸多因素 的复杂非线性难题。针对这一难题，将人工智能领域中专家系统技术与煤矿软岩巷道锚注支护领 域专家理论研究成果、实践经验相结合，提出了软岩巷道锚注支护设计专家系统结构模型。基于 软岩巷道锚注支护工程知识的特点，建立了软岩巷道围岩地质力学性质知识库、软岩巷道锚注支 护设计工程案例知识库以及软岩巷道锚注支护设计专家知识库；同时，运用计算模式推理、BP 神经网络推理以及产生式规则推理等3 种推理策略，构建了锚注支护专家系统的核心推理机，实 现了对软岩巷道锚注支护方案与参数的优化设计。将该专家系统应用于淮北矿区某矿井软岩巷道 锚注支护设计中，显著地提高了软岩巷道锚注支护结构和参数选择的科学性与合理性，有效地维 护了该软岩巷道围岩的稳定。 关键词 软岩巷道；锚注支护；专家系统；智能设计 中图分类号 TD 31 文献标志码 A DOI 10.13545/j.cnki.jmse.2016.01.001 Intelligent expert system for designing bolt-grouting support of soft-rock roadways and its applications WANG Lianguo ，LU Yinlong ，SUN Xiaokang (State Key Laboratory of Geomechanics and Deep Underground Engineering， China University of Mining Technology，Xuzhou ，Jiangsu 221116 ，China) Abstract The bolt-grouting support design for soft rock roadway is a complicated non-linear problem which relates to many factors, such as hydrogeology, engineering geology, mining condition, rock me- chanics, etc. To solve this problem, expert system technology in artificial intelligence field has been combined with theoretical research results and practical experience of soft rock roadway bolt-grouting support, due to which an intelligent expert system model for bolt-grouting support design of soft rock roadways has then been proposed. Based on the knowledge of soft rock roadway support engineering, the database of geomechanical properties of soft roc