论“运输就是运流量”的学术思想

On the academic ideology of “Transport as Traffic”

  • 摘要: 煤矿连续运输是煤矿开采的关键环节,是实现煤矿安全、高效、智能、绿色开采的重要组成部分。深入分析了连续运输系统在煤流检测、节能控制、设备全生命周期管理和多系统协同控制等方面的研究现状,指出了连续运输系统存在的能耗大、监测难、协同性差、智能化程度低等关键技术问题。为了不断提升煤矿连续运输系统的智能化水平,提出了“运输就是运流量”的学术思想,定义了学术思想的内涵,构建了学术思想的逻辑架构,凝练了煤矿连续运输系统智能化的四大关键技术,给出了基于煤流量的连续运输系统四大关键技术及其解决方法。建立了煤矿连续运输系统各节点煤流量检测模型,提出了多信息融合的煤流量检测方法,构建了煤流量数据库,实现了连续运输系统数字化,奠定了连续运输系统智能化的坚实基础;建立了基于煤流量数据的连续运输设备智能调速模型,制定了“煤多快运,煤少慢运,无煤停运”的节能调速控制策略,提出了基于煤流量的神经网络自适应速度控制方法,实现了连续运输设备节能高效运行;建立了基于煤流量数据的连续运输设备全生命周期智能维护与健康管理模型,提出了以过煤量数据预测设备状态信息的智能维护方法,确保了连续运输设备安全、稳定、持续、高效运行;建立了基于煤流量数据的多连续运输设备协同控制模型,提出了基于“时效−能效”的速度和煤流量匹配方法,实现了多连续运输设备高效协同运行。“运输就是运流量”的学术思想已在陕煤、宁煤等煤矿得到应用,实现了多个连续运输系统节能调速与协同运行,提升了煤矿多连续运输系统的安全性、高效性、可靠性和智能化水平。

     

    Abstract: Continuous transportation of coal mine is the key link of coal mining, and an important part of realizing safe, efficient, intelligent and green mining of coal mine. This paper deeply analyzes the research status of continuous transportation system in coal flow detection, energy saving control, equipment life cycle management and multi-system cooperative control, and points out the key technical problems of continuous transportation system, such as high energy consumption, difficult monitoring, poor coordination and low intelligence degree. In order to continuously improve the intelligent level of coal mine continuous transportation system, the academic thought of “transportation is traffic flow” is proposed, the connotation of academic thought is defined, the logical structure of academic thought is constructed, the four key technologies of intelligent coal mine continuous transportation system are condensed, and the four key technologies of continuous transportation system based on coal flow and their solutions are given. The coal flow detection model of each node of the coal mine continuous transportation system is established, the coal flow detection method of multi-information fusion is proposed, the coal flow database is constructed, the continuous transportation system is digitized, and the solid foundation of the intelligent continuous transportation system is laid. The intelligent speed regulation model of continuous transportation equipment based on coal flow data is established, and the energy-saving speed regulation control strategy of “more coal in fast transportation, less coal in slow transportation, and no coal outage” is formulated. Adaptive velocity control method of neural network based on coal flow is proposed, which realized the energy-saving and efficient operation of continuous transportation equipment. The intelligent maintenance and health management model of continuous transportation equipment in the whole life cycle based on coal flow data is established, and the intelligent maintenance method of predicting equipment status information with coal flow data is proposed, which ensures the safe, stable, continuous and efficient operation of continuous transportation equipment. A cooperative control model of multi-continuous transportation equipment based on coal flow data is established, and a matching method of speed and coal flow based on “age-energy efficiency” is proposed to realize the efficient cooperative operation of multi-continuous transportation equipment. The academic idea of "transportation is traffic flow" has been applied in Shaanxi Coal Mine, Ningxia coal Mine and other coal mines, realizing energy-saving speed regulation and collaborative operation of multiple continuous transportation systems, and improving the safety, efficiency, reliability and intelligence level of multi-continuous transportation systems in coal mines.

     

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