基于跨平台架构的全矿井瓦斯抽采智能管控软件设计

Design of intelligent control software for whole mine gas extraction based on cross-platform architecture

  • 摘要: 现有煤矿瓦斯抽采异常识别需要借助人工辅助查看相关数据分析,缺乏自主式、智能化分析手段;抽采异常及时处置能力弱,缺乏瓦斯灾害发生时的多系统联动控制功能;软件部署环境单一、无法实现跨平台、跨端应用访问。针对上述问题,设计了一套基于跨平台架构的全矿井瓦斯抽采智能管控软件。该软件包括公司端、矿端瓦斯抽采智能管控软件2个部分。采用抽采多源数据采集、抽采钻孔辅助设计、抽采数据分析、抽采设备运维管理、抽采GIS展示、抽采融合控制等技术实现了抽采系统全域可视化,形成了井上下一体化抽采全貌数据展示,建立了多层级数据溯源访问机制,通过构建专题数据特征图谱实现抽采数据数理特征、抽采评判特征、设备故障特征、抽采异常特征、钻孔轨迹特征的综合分析。在抽采发生异常时,该软件能自动联动广播系统告知瓦斯涌出危险区域撤离人员,同时联动通风监控系统加强异常区域通风,并通过消息推送策略自动将异常告警消息推送给相关负责人,便于及时、快速解决抽采问题。采用Docker技术实现软件跨平台设计,在Docker环境中部署SQL Server数据库与Web终端应用程序。采用原生HTML技术结合响应式布局样式,实现HTML网页、手机APP、微信小程序等多终端访问。现场应用结果表明,该软件能够满足集团公司、矿井两级用户访问需求,有效提高了矿井抽采工作效率,提升了矿井在瓦斯抽采评判、抽采异常处置与抽采利用方面的能力,降低了矿井瓦斯异常事故发生概率。

     

    Abstract: The existing coal mine gas extraction anomaly recognition needs to rely on manual assistance to view related data analysis, lacking autonomous and intelligent analysis means. The capability of timely handling of abnormal extraction is weak, and the multi-system linkage control function in case of gas disaster is lacking. The software deployment environment is single, and cross-platform and cross-end application access cannot be realized. In view of the above problems, a set of intelligent control software for whole mine gas extraction based on cross-platform architecture is designed. The software consists of two parts: company side and mine side gas extraction intelligent control software. By adopting technologies such as extraction multi-source data acquisition, extraction drill hole aided design, extraction data analysis, extraction equipment operation and maintenance management, extraction GIS display, extraction fusion control, the global visualization of an extraction system is realized. A comprehensive data display of mine up and down integrated extraction has been formed, and a multi-level data traceability access mechanism has been established. The comprehensive analysis of mathematical and physical characteristics of extraction data, extraction evaluation characteristics, equipment fault characteristics, extraction anomaly characteristics, and borehole trajectory characteristics is realized by constructing thematic data characteristic graph. In case of abnormal extraction, the software will automatically link with the broadcasting system to inform the evacuation personnel in the dangerous area of gas emission. At the same time, the software will link the ventilation monitoring system to strengthen the ventilation in the abnormal area. The software automatically pushes the abnormal alarm message to the relevant person in charge through the message push strategy, so as to solve the extraction problem in a timely and rapid manner. The Docker technology is adopted to realize the cross-platform design of the software. The SQL Server database and Web terminal application are deployed in the Docker environment. Native HTML technology combined with responsive layout style is adopted to realize multi-terminal access such as HTML webpage, mobile APP and WeChat applet. The field application results show that the software can meet the access needs of two levels of users of the group company and mine. The software effectively improves the efficiency of mine extraction, and enhances the capability of mine in gas extraction evaluation, extraction abnormal disposal and extraction utilization. The software reduces the occurrence rate of mine gas abnormal accidents.

     

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