节能导向的煤矿大型机电设备协同控制技术
发布时间：2018-12-07 09:02
【摘要】：节能导向的煤矿大型机电设备协同控制技术是以煤矿综合生产系统中主要耗能设备工作状态的智能感知为前提,各子系统间大型机电设备协同工作效率及协同控制策略为优化对象,最终实现整个煤矿综合生产系统的节能目标的过程。由于煤矿综合生产系统庞大,大型机电设备种类较多,且生产过程复杂,这增加了对煤矿大型机电设备工作状态实时监测的难度。煤矿综合生产系统任务调度问题也很大程度上影响着煤矿综合生产的能耗,几种常见的任务调度算法运用在煤矿综合生产任务调度中所反映出的任务调度完成时间不同,任务调度完成时间不同也在一定程度上导致了最终不同的能耗程度。鉴于此,为获得较为节能的煤矿综合生产效果,研究一种合理的节能导向的煤矿大型机电设备协同控制技术就成为迫在眉睫的任务。本文主要研究煤矿大型机电设备效率优化及煤矿综合生产系统任务调度策略优化来降低煤矿综合生产能耗。首先,针对煤矿综合生产系统复杂的特点,本文对煤矿大型机电设备和子系统进行了分类,并给出了这些子系统中主耗能大型机电设备。其次,讨论了煤矿综合生产系统中大型机电设备的效率优化问题,详细推导了煤矿综合生产系统的能耗公式。此外,本文以协同控制为导向的煤矿综合生产系统任务动态优先级调度策略研究为主线,再结合具体的煤矿大型机电设备传感器监测方案与煤矿子系统间通信方案,具体讨论了煤矿综合生产的节能过程。在方案实施方面,本文主要采用S7-200 SMART型PLC对煤矿大型机电设备的状态进行感知控制,采用ARM920T系列微处理器S3C2440作为多元异构网络通信系统总控制芯片,并在文中介绍了相关传感器选型、煤矿多元异构网络构建以及子系统间、设备间通信过程。利用OneNET云平台实现了煤矿大型机电设备的工作状态的实时监测,最后对煤矿综合生产能耗影响指标进行了仿真研究,并对仿真结果作出了详细分析,证明了本文提出的节能导向的煤矿大型协同控制技术是可行的。
[Abstract]:Energy-saving oriented cooperative control technology of large-scale mechanical and electrical equipment in coal mine is based on the intelligent perception of the working state of the main energy-consuming equipment in the comprehensive production system of coal mine. The process of realizing the energy saving goal of the whole integrated production system of coal mine is optimized by optimizing the cooperative working efficiency and the cooperative control strategy of the large mechanical and electrical equipment among the subsystems. Because the comprehensive production system of coal mine is huge, there are many kinds of large electromechanical equipment, and the production process is complicated, which makes it more difficult to monitor the working state of large mechanical and electrical equipment in coal mine in real time. The task scheduling problem of coal mine integrated production system also affects the energy consumption of coal mine integrated production to a great extent. Several common task scheduling algorithms reflect different task scheduling completion time in coal mine integrated production task scheduling. Different task scheduling time also leads to different energy consumption to some extent. In view of this, in order to obtain the comprehensive production effect of energy-saving coal mine, it is an urgent task to study a reasonable energy-saving oriented cooperative control technology for large mechanical and electrical equipment in coal mines. This paper focuses on the optimization of the efficiency of large mechanical and electrical equipment and the optimization of the task scheduling strategy of the integrated production system to reduce the energy consumption in the comprehensive production of coal mines. Firstly, in view of the complex characteristics of coal mine integrated production system, this paper classifies large mechanical and electrical equipment and subsystems in coal mine, and gives the main energy consuming large mechanical and electrical equipment in these subsystems. Secondly, the efficiency optimization of large electromechanical equipment in coal mine integrated production system is discussed, and the energy consumption formula of coal mine integrated production system is deduced in detail. In addition, based on the research of task dynamic priority scheduling strategy of coal mine integrated production system based on collaborative control, this paper combines the specific monitoring scheme of large mechanical and electrical equipment sensor in coal mine and the communication scheme between coal mine subsystems. The energy saving process of coal mine comprehensive production is discussed in detail. In the aspect of scheme implementation, this paper mainly uses S7-200 SMART PLC to perceive and control the state of large electromechanical equipment in coal mine, and uses ARM920T series microprocessor S3C2440 as the master control chip of heterogeneous network communication system. In this paper, the selection of sensor, the construction of multi-heterogeneous network and the communication process between subsystems and equipments are introduced. The real-time monitoring of the working state of large mechanical and electrical equipment in coal mine is realized by using OneNET cloud platform. Finally, the influence index of comprehensive production energy consumption of coal mine is simulated, and the simulation results are analyzed in detail. It is proved that the energy-saving-oriented large-scale collaborative control technology proposed in this paper is feasible.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD40;TD60
本文编号：2366950
[Abstract]:Energy-saving oriented cooperative control technology of large-scale mechanical and electrical equipment in coal mine is based on the intelligent perception of the working state of the main energy-consuming equipment in the comprehensive production system of coal mine. The process of realizing the energy saving goal of the whole integrated production system of coal mine is optimized by optimizing the cooperative working efficiency and the cooperative control strategy of the large mechanical and electrical equipment among the subsystems. Because the comprehensive production system of coal mine is huge, there are many kinds of large electromechanical equipment, and the production process is complicated, which makes it more difficult to monitor the working state of large mechanical and electrical equipment in coal mine in real time. The task scheduling problem of coal mine integrated production system also affects the energy consumption of coal mine integrated production to a great extent. Several common task scheduling algorithms reflect different task scheduling completion time in coal mine integrated production task scheduling. Different task scheduling time also leads to different energy consumption to some extent. In view of this, in order to obtain the comprehensive production effect of energy-saving coal mine, it is an urgent task to study a reasonable energy-saving oriented cooperative control technology for large mechanical and electrical equipment in coal mines. This paper focuses on the optimization of the efficiency of large mechanical and electrical equipment and the optimization of the task scheduling strategy of the integrated production system to reduce the energy consumption in the comprehensive production of coal mines. Firstly, in view of the complex characteristics of coal mine integrated production system, this paper classifies large mechanical and electrical equipment and subsystems in coal mine, and gives the main energy consuming large mechanical and electrical equipment in these subsystems. Secondly, the efficiency optimization of large electromechanical equipment in coal mine integrated production system is discussed, and the energy consumption formula of coal mine integrated production system is deduced in detail. In addition, based on the research of task dynamic priority scheduling strategy of coal mine integrated production system based on collaborative control, this paper combines the specific monitoring scheme of large mechanical and electrical equipment sensor in coal mine and the communication scheme between coal mine subsystems. The energy saving process of coal mine comprehensive production is discussed in detail. In the aspect of scheme implementation, this paper mainly uses S7-200 SMART PLC to perceive and control the state of large electromechanical equipment in coal mine, and uses ARM920T series microprocessor S3C2440 as the master control chip of heterogeneous network communication system. In this paper, the selection of sensor, the construction of multi-heterogeneous network and the communication process between subsystems and equipments are introduced. The real-time monitoring of the working state of large mechanical and electrical equipment in coal mine is realized by using OneNET cloud platform. Finally, the influence index of comprehensive production energy consumption of coal mine is simulated, and the simulation results are analyzed in detail. It is proved that the energy-saving-oriented large-scale collaborative control technology proposed in this paper is feasible.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD40;TD60
【相似文献】
相关期刊论文 前3条
1 曾兆民;;大型机电设备的储存防锈[J];材料保护;1965年02期
2 王建军;;煤矿大型机电设备的安全管理与维护[J];科技信息;2012年18期
3 赵宏泽;;大型机电设备运行检修分析[J];中国石油和化工标准与质量;2011年12期
相关会议论文 前1条
1 夏世雄;牛强;;煤矿大型机电设备远程监测监管与故障诊断研究[A];煤矿自动化与信息化——第21届全国煤矿自动化与信息化学术会议暨第3届中国煤矿信息化与自动化高层论坛论文集（上册）[C];2011年
相关重要报纸文章 前1条
1 三江机械厂 唐正才 袁小红;涉及大型机电设备出口包装的多种因素[N];中国包装报;2004年
相关硕士学位论文 前2条
1 高之翔;节能导向的煤矿大型机电设备协同控制技术[D];安徽理工大学;2017年
2 于云涛;煤矿大型机电设备群异常运行状态辨识与预警网络化系统研制[D];青岛科技大学;2012年
，本文编号：2366950
本文链接：https://www.wllwen.com/kejilunwen/kuangye/2366950.html
