煤层底板水害防治智能决策支持系统框架构建  被引量:8

Framework on intelligent decision support system for coal seam floor water hazard prevention and control

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作  者:靳德武 李鹏 JIN Dewu;LI Peng(Xi'an Research Institute Co.Ltd.,China Coal Technology and Engineering Group Corp.,Xi'an 710077,China;Shaanxi Key Laboratory of Prevention and Control Technology for Coal Mine Water Hazard,Xi'an 710077,China;College of Geology and Environment,Xi'an University of Science and Technology,Xi'an 710054,China)

机构地区:[1]中煤科工集团西安研究院有限公司,陕西西安710077 [2]陕西省煤矿水害防治重点实验室,陕西西安710077 [3]西安科技大学地质与环境学院,陕西西安710054

出  处:《煤田地质与勘探》2021年第1期161-169,共9页Coal Geology & Exploration

基  金:国家重点研发计划课题(2017YFC0804103);天地科技股份有限公司科技创新基金项目(2018-TD-MS072)。

摘  要:煤层底板突水是华北型煤田煤矿生产过程中一种常见的水害类型,为解决水害防治工程的科学决策问题,进一步提高防治水工程的可靠性,提出构建智能决策支持系统的技术思路。智能决策支持系统是传统决策支持系统与人工智能技术相互融合的产物,在分析底板水害防治决策支持功能需求的基础上,提出“数据-模型-方案”一体化设计流程,从数据导入、模型驱动、智能决策等3个层次构建底板水害防治智能决策支持系统的基本框架。将模型驱动层进一步细分为方法库、模型库、知识图谱构建3项专业化服务,模型库包括底板突水空间点预测模型、疏水降压数值模拟模型、注浆改造工程可靠性分析模型、隔离工程设计模型及底板水害监测预警模型。系统最终输出的决策方案包括底板突水危险性分区、疏水降压Q-t-s方案、区域注浆改造设计及工程可靠性评价、隔离工程设计、底板突水监测预警警情发布。系统通过注浆过程的反馈-控制、突水监测预警的深度学习、疏水降压方案的动态优化等实现其智能决策。智能决策支持系统将会在煤层底板水害防治可靠性保障方面提供新的技术支撑。Coal floor water inrush is a common type of water disaster in the production process of coal mines in North China coalfield.In order to solve the scientific decision making problem of water hazard prevention and control engineering and further improve the reliability of the relevant projects,this paper puts forward a technical idea of establishing an intelligent decision support system(IDSS).The IDSS is a combination of the traditional decision support system(DSS)and artificial intelligence.On the basis of analyzing the functional requirements of DSS for water hazard prevention and control,an integrated design process of"data-model-solution"is proposed,and the basic framework of IDSS for coal floor water hazard is established from three aspects,data import,model-driven and intelligent decision making.Model-driven layer is composed of three specialized services:method base,model base and knowledge map.Meanwhile,the model base consists of spatial prediction model of floor wa-ter inrush,numerical simulation model of draining depressurization,reliability analysis model of grouting recon-struction project,design model of isolation project and monitoring and warning model of floor water disaster.The final output decision scheme of the system includes risk zoning of floor water inrush,the Q-t-s scheme of draining depressurization,regional grouting reconstruction design and engineering reliability evaluation,isolation engineering design,and floor water inrush monitoring and early warning information release.The system realizes its intelligent decision by feedback control of grouting process,deep learning algorithm of water inrush monitoring and early warning,dynamic optimization of drainage and depressurization scheme,etc.Intelligent decision support system will provide new technical support in the reliability guarantee of coal floor water disaster prevention and control.

关 键 词:底板水害 智能决策支持系统 数据–模型–方案 模型驱动 决策方案 

分 类 号:P641[天文地球—地质矿产勘探]

 

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