张智韬,李雨成,李俊桥,等. 智能通风精准调控系统架构及实现[J]. 煤炭学报,2023,48(4):1596−1605. doi: 10.13225/j.cnki.jccs.2022.0503
引用本文: 张智韬,李雨成,李俊桥,等. 智能通风精准调控系统架构及实现[J]. 煤炭学报,2023,48(4):1596−1605. doi: 10.13225/j.cnki.jccs.2022.0503
ZHANG Zhitao,LI Yucheng,LI Junqiao,et al. Architecture and implementation of intelligent ventilation precise control system[J]. Journal of China Coal Society,2023,48(4):1596−1605. doi: 10.13225/j.cnki.jccs.2022.0503
Citation: ZHANG Zhitao,LI Yucheng,LI Junqiao,et al. Architecture and implementation of intelligent ventilation precise control system[J]. Journal of China Coal Society,2023,48(4):1596−1605. doi: 10.13225/j.cnki.jccs.2022.0503

智能通风精准调控系统架构及实现

Architecture and implementation of intelligent ventilation precise control system

  • 摘要: 为满足矿井通风系统智能化升级的战略需求,研究了智能通风精准调控系统的设计原则、逻辑架构及具体实现。从状态感知、控制算法和调控策略3个方面梳理了智能通风调控系统的现状,针对当前智能通风调控系统各研究领域相互割裂、数据难以相互支撑的不足,从顶层设计入手,提出以融合感知算法与控制算法为核心的系统全生命周期设计原则,以此为基础提出了以边缘端“感控一体”为核心的逻辑框架;设计并搭建了矿井智能调风软硬件平台,采取各种措施保障人车安全与系统可靠运行;针对传统框架中状态感知与精准控制算法相对分离,导致风量控制对噪声敏感的具体问题,提出采用结合卡尔曼滤波的比例积分微分闭环控制算法精准追踪巷道风量,并融入了专家建模、算法寻优和设备联动的决策与控制理念。最后,在矿井智能调风软硬件平台中开展了正常时期的风窗风量精准追踪实验和灾变时期的风烟流排除实验。实验结果表明,结合卡尔曼滤波的比例积分微分闭环控制算法相比传统比例积分微分闭环控制算法在风量追踪的准确性、抗干扰性和整体效率3个方面分别提高了20.3%、17.4%和13.9%,实现了正常时期风量的精准高效控制;风烟流排除实验中,风窗两侧恒定压差实时调控可以兼顾窒息灭火与防止烟流入侵,实现了灾变时期烟流的精准控制。2者验证了智能通风精准调控系统设计原则和逻辑框架的有效性。

     

    Abstract: In order to meet the strategic needs of intelligent upgrading of mine ventilation system, the design principle, logical structure and specific implementation of intelligent ventilation precision control system are studied. The current situation of intelligent ventilation control system is reviewed from three aspects of state perception, control algorithm and control strategy. In view of the shortcomings of the current intelligent ventilation control system that each research field is separated from each other and the data are difficult to support each other, starting from the top-level design, the whole life cycle design principle of the system with the fusion of perception algorithm and control algorithm as the core is proposed. Based on this, the logical framework with the edge’s integration of perception and control as the core is proposed. The hardware and software platform of mine intelligent air conditioning is designed and built, and various measures are taken to ensure the safety of people and vehicles and the reliable operation of the system. Aiming at the specific problem that the state perception and precise control algorithm are relatively separated in the traditional framework, which leads to the sensitivity of air volume control to noise, a proportional integral differential closed-loop control algorithm combined with the Kalman filter is proposed to accurately track the air volume of roadway, and the decision and control concepts of expert modeling, algorithm optimization and equipment linkage are integrated. Finally, in the hardware and software platform of mine intelligent air conditioning, the accurate tracking experiment of wind window air volume in normal period and the smoke flow elimination experiment in disaster period are carried out. The experimental results show that compared with the traditional proportional-integral-derivative closed-loop control algorithm, the proportional-integral-derivative closed-loop control algorithm combined with the Kalman filter improves the accuracy, anti-interference and overall efficiency of air volume tracking by 20.3%, 17.4% and 13.9%, respectively, and realizes the accurate and efficient control of air volume in the normal period. In the smoke flow exclusion experiment, the real-time control of constant pressure difference on both the sides of the wind window can take into account the suffocation fire extinguishing and the prevention of smoke flow invasion, so as to achieve the precise control of smoke flow in the disaster period. The two experiments verify the effectiveness of design principles and logical framework of intelligent ventilation precise control system.

     

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