基于物联网的露天矿山卡车调度系统的研究

发布时间：2018-07-13 20:56

【摘要】：露天矿山的生产需要多部门相互协调工作,矿石运输是其最为重要的生产环节。伴随着矿山开采过程的推进,矿石的运输距离和时间将不断增加,运输成本也会相应上涨。与此同时,在卡车生产调度环节存在着运输方案规划不合理、调度工作量大、行车线路调整不及时等情况,这些都在制约着生产效率的提高。在当前矿业企业严峻的经济形势下,运用物联网技术与无线通信技术构建卡车调度系统,通过调度算法模型,最大限度地提高单位产能,降低生产成本,是提高矿业企业的经济效益的有效途径。本文通过深入露天矿山生产环境了解生产过程,根据企业实际生产需求,利用4G移动终端、RFID标签构建了卡车调度系统。运用宽带无线通信技术与TCP作为传输与连接方式,设计相关调度模型算法作为调度依据,实现了自动调度的的高效可靠。通过对道路通行网进行优化,建立道路网络模型,分析影响卡车调度的影响因子。然后,分析各影响因子之间的联系,在考虑多目标优化条件下运用调度算法建立车流规划模型,实现最优调度的详细的行车路线,通过对模型和算法的测试与改进提高了调度系统的实际应用价值。最后使用Visual Studio 2012和SQL Server 2008编程实现调度模型,建立卡车调度系统,并将测试优化的系统部署到生产企业中。经过使用前后的对比测试,系统基本达到了预期效果,能够较好地指导生产。
[Abstract]:The production of open pit mine needs the coordination of various departments, and ore transportation is the most important production link. With the development of mining process, the distance and time of ore transportation will increase, and the transportation cost will rise accordingly. At the same time, there are some problems in truck production and scheduling, such as unreasonable planning of transportation scheme, large workload of dispatching, and untimely adjustment of train routes, all of which are restricting the improvement of production efficiency. Under the severe economic situation of mining enterprises, the truck dispatching system is constructed by using the technology of Internet of things and wireless communication technology. Through the scheduling algorithm model, the unit production capacity is maximized and the production cost is reduced. It is an effective way to improve the economic benefits of mining enterprises. In this paper, a truck dispatching system is constructed by using 4G mobile terminal RFID tag according to the actual production demand of the enterprise through deep understanding of the production process in open pit mine production environment. By using wideband wireless communication technology and TCP as transmission and connection mode, the related scheduling model algorithm is designed as the basis of scheduling, which realizes the high efficiency and reliability of automatic scheduling. By optimizing the road network, the road network model is established, and the influencing factors of truck dispatching are analyzed. Then, by analyzing the relationship between the factors, using the scheduling algorithm to establish the vehicle flow planning model under the condition of multi-objective optimization, the detailed route of the optimal scheduling is realized. The practical application value of the scheduling system is improved by testing and improving the model and algorithm. Finally, the scheduling model is programmed by Visual Studio 2012 and SQL Server 2008, and the truck scheduling system is established, and the test optimized system is deployed to the production enterprise. After the contrast test before and after use, the system basically achieved the expected effect and can guide production well.
【学位授予单位】：安徽工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD634;TP391.44;TN929.5

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