基于工程类比煤巷支护智能预测系统与应用

发布时间：2019-04-03 14:59

【摘要】：基于煤巷支护理论研究成果和生产一线调研,分析研究了影响工程类比法煤巷支护设计的六个主要影响因素。采用一线调查问卷和实验室实测等方式,获得52条煤巷支护典型巷道数据,并结合领域专家成果建立了煤巷支护设计典型案例知识库。应用最新的人工智能技术、计算机技术和可视化的设计方法,研发了工程类比煤巷支护智能预测系统。将工程类比、现场实测和专业理论有机结合,实现待测巷道的支护方案预测和优化,较大程度发挥了工程类比法支护设计的优势。应用系统对山西霍州煤矿进行支护方案预测,其预测结果与实际情况吻合较好。系统的研发和使用对利用信息技术发挥工程类比优势,提高煤巷实际支护效果具有一定的实用价值。
[Abstract]:Based on the theoretical research results of coal roadway support and the investigation of the production line, six main factors affecting the support design of coal roadway with engineering ratio method are analyzed and studied. By means of first-line survey questionnaire and laboratory measurement, 52 typical roadway data of coal roadway support were obtained, and the knowledge base of typical cases of coal roadway support design was established based on the achievements of experts in the field. Based on the latest artificial intelligence technology, computer technology and visual design method, an intelligent prediction system for engineering analogical coal roadway support is developed. The engineering analogy, field measurement and professional theory are combined organically to realize the prediction and optimization of supporting scheme of roadway to be tested, which brings into play the advantages of engineering analogy method in supporting design to a great extent. The system is used to predict the supporting scheme of Huozhou Coal Mine in Shanxi Province, and the predicted results are in good agreement with the actual situation. The research and development and application of the system have certain practical value to utilize the information technology to exert the advantage of engineering analogy and to improve the actual supporting effect of coal roadway.
【作者单位】：中国矿业大学(北京)力学与建筑工程学院;中国矿业大学(北京)深部岩土力学与地下工程国家重点实验室;
【分类号】：TD353

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