矿山大型机电设备协同控制
发布时间：2018-09-02 05:55
【摘要】：根据矿山大型机电设备能量耗散强度对矿山生产系统进行了分类,给出了各子系统的主耗能设备。根据某煤矿资料得出了矿山大型机电设备耗电量,总结了矿山大型机电设备能耗影响因素。详细推导了矿山大型机电设备能耗公式,并采用最佳平方逼近方法优化设备工作效率,根据优化结果计算机电设备能耗。介绍了基于物联网的矿山大型机电设备协同控制系统设计方案,并通过实例验证了基于效率优化的矿山大型机电设备协同控制方法可有效降低煤矿生产能耗。
[Abstract]:According to the energy dissipation intensity of large mechanical and electrical equipment, the mine production system is classified, and the main energy dissipation equipment of each subsystem is given. According to the data of a coal mine, the power consumption of large mechanical and electrical equipment in mine is obtained, and the influencing factors of energy consumption of large mechanical and electrical equipment in mine are summarized. The formula of energy consumption of large electromechanical equipment in mine is deduced in detail, and the optimum square approximation method is used to optimize the working efficiency of the equipment, and the energy consumption of electromechanical equipment is calculated according to the optimization results. This paper introduces the design scheme of mine large-scale electromechanical equipment collaborative control system based on the Internet of things, and proves that the collaborative control method based on efficiency optimization can effectively reduce the energy consumption of coal mine production.
【作者单位】： 安徽理工大学电气与信息工程学院;
【基金】：国家自然科学基金资助项目(61170060) 安徽省学术与技术带头人学术科研活动资助项目(2015D046) 安徽省高等学校优秀拔尖人才资助项目(gxbjZD2016044)
【分类号】：TD63
本文编号：2218463
[Abstract]:According to the energy dissipation intensity of large mechanical and electrical equipment, the mine production system is classified, and the main energy dissipation equipment of each subsystem is given. According to the data of a coal mine, the power consumption of large mechanical and electrical equipment in mine is obtained, and the influencing factors of energy consumption of large mechanical and electrical equipment in mine are summarized. The formula of energy consumption of large electromechanical equipment in mine is deduced in detail, and the optimum square approximation method is used to optimize the working efficiency of the equipment, and the energy consumption of electromechanical equipment is calculated according to the optimization results. This paper introduces the design scheme of mine large-scale electromechanical equipment collaborative control system based on the Internet of things, and proves that the collaborative control method based on efficiency optimization can effectively reduce the energy consumption of coal mine production.
【作者单位】： 安徽理工大学电气与信息工程学院;
【基金】：国家自然科学基金资助项目(61170060) 安徽省学术与技术带头人学术科研活动资助项目(2015D046) 安徽省高等学校优秀拔尖人才资助项目(gxbjZD2016044)
【分类号】：TD63
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