基于场-区-网耦合的矿井火灾风烟流应急联动调控机制研究

矿井火灾烟流不可控蔓延易导致重大事故，自动化隔离排烟是救援关键。但全风网调控策略不健全、不可靠，火灾特征参数感知困难，缺乏原位联合调控理论支撑。本项目研究全风网尺度火灾演化致灾的超算模拟方法，构建不同火灾场景风烟流调控策略数据库，揭示场-区-网耦合的应急联动调控机制。通过地下巷道内不同火灾场景探测实验，确定高湿浓尘湍动流场中最佳探测指标组合与测点设置，运用多源信息融合和贝叶斯算法，实现火灾准确探测及烟流演化趋势分析。基于场-区-网多源特征参数交叉感知研判理论与人工智能算法，灾变通信故障时实现分布式监控站点自主决策型的原位联合控制，嵌入灾变流态转捩研判方法和临界方程，保障调控安全。研究应急联动调控系统各模块防火冗余组件与软硬件信息交互技术，实现全风网火灾探测、研判、决策、调控一体化协同联动。以平战结合理念构建复杂风网灾变通风应急联动调控机制，理论支持矿井通风智能化防灾、减灾、救灾体系建设。

Major accidents should be caused by the uncontrollable spread of fire smoke in mines, and the fire smoke flow isolation automatically is the key methods for emergency rescue. However, the whole ventilation network control strategy are not perfect and unreliable. And the fire smoke characteristic parameters perceived difficult, lack of in-situ joint control theory support. This project simulate fire smoke evolution in the whole scale of the ventilation network by super computing, and constructs the database of emergency control strategy of the smoke flow in different fire scenes, and reveals the mechanism of emergency linkage control based on the field-area-network coupling relations. Through the detection experiment of different fire scenes in the underground tunnels, the optimal detection index combination and point setting of high humidity and thick dusts turbulence field are determined, and the application of multi-source information fusion and Bayesian algorithm are used to realize the accurate detection of fire and the trend of smoke flow evolution. Based on the theory of cross-perception of field-region-network multi-source characteristic parameters and artificial intelligence algorithm, the in-situ joint control of distributed monitoring substation autonomous decision making type is realized in the event of disaster communication failure, embedded in the method of research and judgment of the disaster flow state transition and the critical equations, and the safety of regulation and control is guaranteed. The fire resistant redundant components of the emergency linkage control system are studied, the software and hardware information interaction technology is studied, and the integrated linkage of fire detection, judgment, decision making and regulation of the whole ventilation network is realized. To build a complex ventilation network disaster and emergency linkage control mechanism with the concept of normal and disaster conditions combination, the theory supports the construction of intelligent disaster prevention, reduction and relief for the ventilation system in mines.