王宇强, 田苗, 张一帆, 韩俊飞, 钟鸣, 韩如磊. 基于物联网技术的智慧能源管控系统设计[J]. 内蒙古电力技术, 2022, 40(5): 1-6. DOI: 10.19929/j.cnki.nmgdljs.2022.0073
引用本文: 王宇强, 田苗, 张一帆, 韩俊飞, 钟鸣, 韩如磊. 基于物联网技术的智慧能源管控系统设计[J]. 内蒙古电力技术, 2022, 40(5): 1-6. DOI: 10.19929/j.cnki.nmgdljs.2022.0073
WANG Yuqiang, TIAN Miao, ZHANG Yifan, HAN Junfei, ZHONG Ming, HAN Rulei. Design of Intelligent Energy and Management and Control System Based on Internet of Things Technology[J]. Inner Mongolia Electric Power, 2022, 40(5): 1-6. DOI: 10.19929/j.cnki.nmgdljs.2022.0073
Citation: WANG Yuqiang, TIAN Miao, ZHANG Yifan, HAN Junfei, ZHONG Ming, HAN Rulei. Design of Intelligent Energy and Management and Control System Based on Internet of Things Technology[J]. Inner Mongolia Electric Power, 2022, 40(5): 1-6. DOI: 10.19929/j.cnki.nmgdljs.2022.0073

基于物联网技术的智慧能源管控系统设计

Design of Intelligent Energy and Management and Control System Based on Internet of Things Technology

  • 摘要: 为推进能源管理的自动化发展,合理使用智慧能源,提出基于物联网技术的智慧能源管控系统设计方案。从生态环境、资源承载力、居民心理承受能力、经济承载力等方面计算能源综合承载水平,为智慧能源管控系统提供有效管控依据。利用物联网技术,确定该系统整体架构,将系统分为采集层、传输层与应用层;从能耗信息采集、能耗统计分析及能源节能管理三个方面设计系统功能,设置业务操作逻辑,并使用最小二乘法构建能耗预测模型,实现实时预警;设计了系统传感器节点、处理器等硬件设备和软件运行流程,从而完成智慧能源管控系统设计。经仿真实验证明,该系统具有强大的实时数据采集功能,可及时发现和控制能源使用的不合理之处,促进智慧能源合理利用。

     

    Abstract: In order to promote the development of energy management automation and rational use of intelligent energy, a design scheme of intelligent energy management and control system based on Internet of things(IoT) is proposed. The comprehensive carrying capacity of energy is calculated from the aspects of ecological environment, resource carrying capacity and economic carrying capacity to provide effective control basis for intelligent energy management and control system. The IoT is introduced to determine the overall architecture of the system, and the system is divided into three levels. The system functions are designed from three aspects of data collection, energy consumption analysis and energy conservation management. The service operation logic is set, and energy consumption prediction model is built by using least square method to realize real-time early warning. This paper designs the system sensor nodes and processors and other hardware devices, sets the software running process, and completes the designing of the intelligent energy management system. The simulation results show that the system has powerful real-time data acquisition function, which can timely find and control the unreasonable use of energy, and promote the rational use of intelligent energy.

     

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