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作 者:董建林 Dong Jianlin(China Railway Construction Electrification Bureau Group Co.,Ltd.,Beijing,100043,China)
机构地区:[1]中国铁建电气化局集团有限公司,北京100043
出 处:《机械设计与制造工程》2022年第12期112-115,共4页Machine Design and Manufacturing Engineering
摘 要:运用大数据、人工智能算法得到指定工况下的最优匹配模型,通过向设备下发策略和设备自动执行实现对制冷站机房及空调末端的智能控制,进而实现空调系统整体节能降耗和碳减排目标,并将该技术成功用于雄安高铁站中央空调系统施工建造中。By using big data and artificial intelligence algorithm, the optimal matching model under the specified working condition is obtained, and the intelligent control of the refrigeration station machine room and the air-conditioning terminal is realized by issuing the strategy to the equipment and automatically executing the equipment, so as to achieve the overall energy saving and carbon emission reduction goals of the air-conditioning system. This technology has been successfully applied to the construction of the central air-conditioning system in Xiong ’an high-speed railway station.
分 类 号:TP182[自动化与计算机技术—控制理论与控制工程]
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