Hana Han, Bin Zhu, Luyao Zhan, Tiantian Yu, Gangwei Shen, Ying Chen
{"title":"ICool:一站式服务物联网云平台","authors":"Hana Han, Bin Zhu, Luyao Zhan, Tiantian Yu, Gangwei Shen, Ying Chen","doi":"10.1109/icaice54393.2021.00133","DOIUrl":null,"url":null,"abstract":"Small and medium-sized industrial enterprises generally have the problem of difficulty in “on-clouding” with industrial equipment during the informatization transformation. In this regard, Icool: a one-stop service Internet of Things cloud platform was designed and implemented, which can provide small and medium-sized industrial enterprises with convenient services for fast-tracking industrial equipment to the cloud, providing data visualization services for enterprises to realize intelligent equipment operating status data. Early warning and intelligent diagnosis determine the operating status of the equipment and provide quick warning notifications through the web terminal, and offer calculation analysis tools and sample data for remote diagnosis analysts and algorithm engineers. The platform supports the integration of industrial big data, Internet of Things, artificial intelligence and other information technology; integrate the data resources of the existing information system of the enterprise. It will realize multiple functions such as equipment operation and maintenance monitoring and energy efficiency management monitoring, and that will widely support multiple application scenarios such as smart factories, smart campuses, and smart logistics. The test results show that the platform can better realize the terminal management and connection management of industrial equipment. Also it can provide refined management of the entire life cycle of industrial equipment, and that will be a good market application prospect.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ICool: One-stop service IoT cloud platform\",\"authors\":\"Hana Han, Bin Zhu, Luyao Zhan, Tiantian Yu, Gangwei Shen, Ying Chen\",\"doi\":\"10.1109/icaice54393.2021.00133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Small and medium-sized industrial enterprises generally have the problem of difficulty in “on-clouding” with industrial equipment during the informatization transformation. In this regard, Icool: a one-stop service Internet of Things cloud platform was designed and implemented, which can provide small and medium-sized industrial enterprises with convenient services for fast-tracking industrial equipment to the cloud, providing data visualization services for enterprises to realize intelligent equipment operating status data. Early warning and intelligent diagnosis determine the operating status of the equipment and provide quick warning notifications through the web terminal, and offer calculation analysis tools and sample data for remote diagnosis analysts and algorithm engineers. The platform supports the integration of industrial big data, Internet of Things, artificial intelligence and other information technology; integrate the data resources of the existing information system of the enterprise. It will realize multiple functions such as equipment operation and maintenance monitoring and energy efficiency management monitoring, and that will widely support multiple application scenarios such as smart factories, smart campuses, and smart logistics. The test results show that the platform can better realize the terminal management and connection management of industrial equipment. Also it can provide refined management of the entire life cycle of industrial equipment, and that will be a good market application prospect.\",\"PeriodicalId\":388444,\"journal\":{\"name\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaice54393.2021.00133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaice54393.2021.00133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Small and medium-sized industrial enterprises generally have the problem of difficulty in “on-clouding” with industrial equipment during the informatization transformation. In this regard, Icool: a one-stop service Internet of Things cloud platform was designed and implemented, which can provide small and medium-sized industrial enterprises with convenient services for fast-tracking industrial equipment to the cloud, providing data visualization services for enterprises to realize intelligent equipment operating status data. Early warning and intelligent diagnosis determine the operating status of the equipment and provide quick warning notifications through the web terminal, and offer calculation analysis tools and sample data for remote diagnosis analysts and algorithm engineers. The platform supports the integration of industrial big data, Internet of Things, artificial intelligence and other information technology; integrate the data resources of the existing information system of the enterprise. It will realize multiple functions such as equipment operation and maintenance monitoring and energy efficiency management monitoring, and that will widely support multiple application scenarios such as smart factories, smart campuses, and smart logistics. The test results show that the platform can better realize the terminal management and connection management of industrial equipment. Also it can provide refined management of the entire life cycle of industrial equipment, and that will be a good market application prospect.