青岛地铁6号线智能能耗管理数据

青岛地铁6号线智能能耗管理数据是在6号线地铁全线21座车站及抓马山车辆段日常运营过程中，由多功能电表、远传水表、环控节能柜等设备实时采集形成的数据资源。该数据通过车站智慧运行交换机及通信传输环网汇聚至中心云平台能源管理系统，经系统加工处理与统计分析后，存储于云平台资源中，并在能源管理软件中实时展示。 该数据内容涵盖电、水等多类型能耗的分类、分项、分户计量信息，形成了6号线地铁线路全生命周期的能耗画像。数据通过对牵引用电、动力与照明用电、商业用电、生活用水等数据的监测与分析，实现能耗同环比分析、用能平衡诊断、异常报警与节能优化控制等功能。 该数据可用于支撑6号线地铁能源管理的精细化运营与节能决策，服务线路能耗评估及节能减排，助力轨道交通实现用能管理的实时化、可视化与智能化。

The intelligent energy consumption management data of Qingdao Metro Line 6 is a data resource collected in real time by devices such as multi-functional electric meters, remote water meters, and environmental control energy-saving cabinets during the daily operation of all 21 stations and the Zhuamashan Depot of Line 6. This data is aggregated to the central cloud platform energy management system via the station intelligent operation switch and communication transmission ring network. After being processed and statistically analyzed by the system, it is stored in cloud platform resources and displayed in real time through energy management software. The data covers classified, sub-item and household metering information of multiple types of energy consumption such as electricity and water, forming a full-life-cycle energy consumption profile of Qingdao Metro Line 6. By monitoring and analyzing data such as traction power, power and lighting power, commercial power, and domestic water, the data enables functions including year-on-year and month-on-month energy consumption analysis, energy balance diagnosis, abnormal alarm, and energy-saving optimization control. This data can be used to support the refined operation and energy-saving decision-making of Qingdao Metro Line 6 energy management, serve line energy consumption assessment and energy conservation and emission reduction, and help rail transit realize real-time, visualized and intelligent energy management.

搜集汇总

背景与挑战

背景概述

该数据集来源于青岛地铁6号线全线21座车站及抓马山车辆段的日常运营，通过多功能电表、远传水表等设备实时采集电、水等多类型能耗数据，形成全生命周期的能耗画像。数据经过云平台能源管理系统处理，支持能耗监测、同环比分析、异常报警等功能，应用于精细化运营与节能决策，助力轨道交通实现用能管理的实时化、可视化与智能化。未来，数据还可扩展至线网级能源调度和AI驱动的智能能效管理，推动绿色智慧运营体系建设。