城市轨道交通能源管理系统的总体设计及其主要功能

李晔张凌云刘国桐王忻吉祥雨

Overall Design and Key Functions of Urban Rail Transit Energy Management System

LI YeZHANG LingyunLIU GuotongWANG XinJI Xiangyu
摘要:
目的:为了加强城市轨道交通(以下简称“城轨”)能源的精细化管理,以信息化手段达到节能降耗的目的,对城轨能源管理系统的总体设计及其主要功能进行研究。方法:对城轨能源管理的现状进行了调研,从硬件条件、作业方式、信息化条件及管理方式等方面总结了城轨现有能源管理方式的痛点,提出城轨能源管理的应用需求。根据城轨能源管理需求,结合目前城轨行业的软硬件条件,制定了扩大能源数据资产管理范围、完善智能节能算法及构建数字能源管理体系等城轨能源管理的总体目标。从“源网荷储”的总体设计理念出发,建立符合城轨行业统一的能源管理系统总体架构,并从智能调配、智能巡检、智能运维及智能控制等方面阐述了城轨能源管理系统的主要功能。结果及结论:形成了一套适用于城轨行业的能源管理系统,该系统的总体架构自下而上划分为数据感知层、网络传输层、数据存储层、数据处理层、数据分析层、应用层及表示层。
Abstracts:
Objective: To enhance the refined management of energy in URT (urban rail transit) and achieve the goal of energy conservation and consumption reduction through information technology, the overall design and primary functions of the URT energy management system are investigated. Method: A survey of the current status of URT energy management is conducted, summarizing the pain points of existing energy management methods from aspects such as hardware conditions, operational methods, information conditions and management methods. The application requirements for URT energy management are identified. Based on these requirements and the current software and hardware conditions in URT industry, the overall objectives of URT energy management are established, including expanding the scope of energy data asset management, enhancing intelligent energysaving algorithms, and constructing a digital energy management system. Guided by the overall design concept of 'sourcenetworkloadstorage', a unified energy management system overall architecture for the URT industry is developed, and the primary functions of URT energy management system are elucidated, including intelligent allocation, intelligent inspection, intelligent operationmaintenance, and intelligent control. Result and Conclusion: A tailored energy management system suitable for the URT industry is formulated. The overall architecture of the system is divided into layers from bottom to top: data perception layer, network transmission layer, data storage layer, data processing layer, data analysis layer, application layer, and display layer.
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