{"title":"Green Warehouse Intelligent Lighting Optimization Design Strategy","authors":"Yunna Liu, Pei Yang, Yihe Bai","doi":"10.1145/3523089.3523110","DOIUrl":null,"url":null,"abstract":"Under the guidance of the National Development and Reform Commission of China, the Ministry of Natural Resources, the Ministry of Ecology and Environment, the National Energy Administration and other departments responded positively, and finally proposed \"green storage\" as one of the contents of \"green upgrade of infrastructure\" in the notice of \"Green Industry Guidance Directory\". Thus, more and more attention has been paid to energy saving in the storage industry at the national level. In this paper, through reading the domestic and foreign research theories and relevant practical information about intelligent lighting system, we understand the brightness requirements of logistics warehouse for lighting system, and comprehensively consider the operational lighting requirements of logistics warehouse personnel. On how to optimize the normal logistics warehouse space lighting design strategy is put forward, this design with zigbee technology as the core of logistics warehouse wireless lighting control, and through the sensing function of unmanned in warehouse and a period of time without homework personnel to return to the lighting system will automatically enter a dormant state in order to reduce unnecessary power consumption, Achieve the effect of energy saving and environmental protection. This paper hopes to lay a foundation for the improvement of the lighting system of logistics warehousing by optimizing the intelligent lighting system of green warehousing, and make a contribution to the realization of green warehousing as soon as possible.","PeriodicalId":131654,"journal":{"name":"2022 The 6th International Conference on Compute and Data Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 The 6th International Conference on Compute and Data Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3523089.3523110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Under the guidance of the National Development and Reform Commission of China, the Ministry of Natural Resources, the Ministry of Ecology and Environment, the National Energy Administration and other departments responded positively, and finally proposed "green storage" as one of the contents of "green upgrade of infrastructure" in the notice of "Green Industry Guidance Directory". Thus, more and more attention has been paid to energy saving in the storage industry at the national level. In this paper, through reading the domestic and foreign research theories and relevant practical information about intelligent lighting system, we understand the brightness requirements of logistics warehouse for lighting system, and comprehensively consider the operational lighting requirements of logistics warehouse personnel. On how to optimize the normal logistics warehouse space lighting design strategy is put forward, this design with zigbee technology as the core of logistics warehouse wireless lighting control, and through the sensing function of unmanned in warehouse and a period of time without homework personnel to return to the lighting system will automatically enter a dormant state in order to reduce unnecessary power consumption, Achieve the effect of energy saving and environmental protection. This paper hopes to lay a foundation for the improvement of the lighting system of logistics warehousing by optimizing the intelligent lighting system of green warehousing, and make a contribution to the realization of green warehousing as soon as possible.