推动煤矿水害防治由信息化向智能化转变是保障煤炭工业高质量发展的关键环节。本文立足煤矿水害智能化防控的多重需求，引入云计算、大数据、人工智能等技术，针对煤矿水害基础数据综合管理效率不高、水害超前防控精细程度不足、水灾应急决策时效性不强以及水灾事故发生后难以快速准确鉴定等技术难题，系统剖析了实现煤矿水害智能化防控的主要技术方法；开展了煤矿水害大数据管理、采掘三维地质体模型动态精细构建、水害超前数字化评价与防治、水灾过程应急决策远程辅助及灾后事故计算机辅助诊断等技术研发；形成了基于多源信息融合的煤矿水害大数据管理系统、煤矿采掘三维地质体动态精细建模系统、煤矿水害分析评价与超前防治数字化系统、水灾事故应急响应远程辅助系统以及水灾事故远程诊断分析系统；构建了煤矿水害智能化防控平台，并在煤矿现场进行了推广应用，有效提高了煤矿水害超前防控、灾中治理与灾后诊断各阶段的数字化、智能化技术水平。研究成果将有力推动我国煤矿水害防治技术的进步，可为煤炭企业开展基础数据管理与水害评价与防治，行业专家及国家安监部门开展水灾应急决策和事故诊断提供支持，是传统水害防治技术数字化、智能化转型发展的重要支撑。

It is crucial to promote coal mine water disaster prevention and control from information to intelligent transformation for ensuring the coal industry high quality development. This study was conducted to meet the multiple demands of coal mine water hazard intelligent prevention and control. Thus,some technologies including cloud computing,big data,artificial intelligence were introduced. In addition,in terms of the technical problems including low comprehensive management efficiency of coal mine water disaster data,lack of precision in advance prevention and control of water disaster,low timeliness of flood emergency decision making and difficulties in identifying flood accidents,the main technical methods of coal mine water hazard intelligent prevention and control were analyzed. Besides,the authors have developed a series of new technologies including coal mine water disaster big data management,dynamic fine construction of mine 3D geological model,coal mine water hazard analysis and evaluation and advanced prevention digital system and computer aided diagnosis of post disaster accidents. Then,some corresponding systems have been developed successfully. They include the coal mine water disaster big data management system based on multi source information fusion,the dynamic fine modeling system of 3D geological body in coal mining,the coal mine water hazard analysis and evaluation and advanced prevention digital system,the flood accident emergency response remote auxiliary system and the flood accident remote diagnosis and analysis system. Ultimately,the authors have established an intelligent prevention and control platform for preventing and controlling coal mine water hazard and applied in coal mine sites. This platform has improved the digital and intelligent technology level of coal mine water disaster prevention and control in advance,disaster management and post disaster diagnosis. The research results will promote the progress of coal mine water hazard control technology in China. It can provide support for coal enterprises to carry out basic data management and water disaster assessment and prevention,and industry experts and national safety supervision departments to carry out decision making for flood emergency responses and accident diagnosis. At the same time,it is also an important support for the digitalization of traditional water damage control technology and intelligent transformation.

1 煤矿水害防治智能化关键技术

   1.1 煤矿水害防治数据管理

   1.2 煤矿水害风险评价与水害超前防治工程

   1.3 煤矿水灾应急响应与辅助决策

   1.4 灾后事故成因调查及鉴定

2 煤矿水害智能化防控平台架构

   2.1 煤矿水害智能化防控思路

   2.2 平台架构

3 平台核心技术功能

   3.1 基于多源信息融合的煤矿水害大数据管理系统

   3.2 煤矿采掘三维地质体动态精细建模系统

   3.3 煤矿水害风险评价与超前防治数字化系统

   3.4 煤矿水灾应急响应远程决策支持系统

   3.5 煤矿水灾事故远程诊断分析系统

4 平台在煤矿水害防治工作中的应用

5 结论