地铁通风空调水系统能耗预警模型
陈明华1王伦月1何磊1王冠群2夏树高2
Study on Early Warning Model in Energy Consumption of Metro VAC Water System
CHEN MinghuaWANG LunyueHE LeiWANG GuanqunXIA Shugao
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作者信息:1.1.贵阳市城市轨道交通集团有限公司， 550081， 贵阳；
2.2.青岛海信网络科技股份有限公司， 266100, 青岛
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Affiliation:Guiyang Urban Rail Transit Group Co., Ltd., 550081, Guiyang, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.08.008
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中图分类号/CLCN:U231.5
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栏目/Col:研究报告
摘要:
针对地铁通风空调水系统设备的能耗问题，以水系统制冷系数为核心，基于水系统设备的历史正常数据，将数据统计、证据理论和神经网络遗传算法相结合，构建了水系统能耗预警模型。通过该预警模型，能及时发现水系统中冷水机组、水泵等设备能耗异常，提前发现采集异常或设备故障等系统问题，并通过及时处理，减少由此造成的能量浪费，降低城市轨道交通运营成本。
Abstracts:
Targeting the energy consumption problem of metro VAC (ventilation and air-conditioning) water system equipment, a water system energy consumption early warning model is established, using cooling performance coefficient as the core, based on historical normal data of the equipment, and combining data statistics, evidence theory and neural network genetic algorithm. Through the early warning model, it is possible to allocate abnormal energy consumption of cooling equipment or pump in water system in time. By detecting systematic problems such as collection abnormality or equipment failure and dealing with them in time, energy waste caused by this can be reduced, as well as urban rail transit operation cost.
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