{"title":"基于大数据的智能体育馆服务资源动态评价模型","authors":"Zhong Wu, Chuan Zhou","doi":"10.1109/ICVRIS.2019.00034","DOIUrl":null,"url":null,"abstract":"In order to improve that dynamic evaluation and the sharing capability of the intelligent stadium service resource, a dynamic evaluation model design method of the intelligent stadium service resource based on large data is proposed, and an information fusion model for dynamic evaluation of the service resources of the intelligent stadium is constructed, The distributed storage structure of the intelligent stadium service resource is analyzed, the large database reconstruction of the intelligent stadium service resource is realized by adopting the cloud computing method, a characteristic reconstruction method is adopted to carry out the dynamic evaluation design of the intelligent stadium service resources, And a cloud computing model for dynamically evaluating the service resources of the intelligent stadium is established. By adopting the method of large data fusion to realize the dynamic evaluation of the service resources of the intelligent stadium and the stadium, the dynamic correlation dimension extraction of the intelligent stadium service resource information base is realized by combining the self-correlation characteristic matching method, and the optimization design of the intelligent stadium service resource dynamic evaluation platform is realized. The simulation results show that the method can be used to evaluate the dynamic evaluation of the intelligent stadium service resources, and the accuracy of the evaluation is higher, and the dynamic evaluation ability of the intelligent stadium service resources is improved.","PeriodicalId":294342,"journal":{"name":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Evaluation Model of Intelligent Gymnasium Service Resources Based on Big Data\",\"authors\":\"Zhong Wu, Chuan Zhou\",\"doi\":\"10.1109/ICVRIS.2019.00034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve that dynamic evaluation and the sharing capability of the intelligent stadium service resource, a dynamic evaluation model design method of the intelligent stadium service resource based on large data is proposed, and an information fusion model for dynamic evaluation of the service resources of the intelligent stadium is constructed, The distributed storage structure of the intelligent stadium service resource is analyzed, the large database reconstruction of the intelligent stadium service resource is realized by adopting the cloud computing method, a characteristic reconstruction method is adopted to carry out the dynamic evaluation design of the intelligent stadium service resources, And a cloud computing model for dynamically evaluating the service resources of the intelligent stadium is established. By adopting the method of large data fusion to realize the dynamic evaluation of the service resources of the intelligent stadium and the stadium, the dynamic correlation dimension extraction of the intelligent stadium service resource information base is realized by combining the self-correlation characteristic matching method, and the optimization design of the intelligent stadium service resource dynamic evaluation platform is realized. The simulation results show that the method can be used to evaluate the dynamic evaluation of the intelligent stadium service resources, and the accuracy of the evaluation is higher, and the dynamic evaluation ability of the intelligent stadium service resources is improved.\",\"PeriodicalId\":294342,\"journal\":{\"name\":\"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICVRIS.2019.00034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS.2019.00034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Evaluation Model of Intelligent Gymnasium Service Resources Based on Big Data
In order to improve that dynamic evaluation and the sharing capability of the intelligent stadium service resource, a dynamic evaluation model design method of the intelligent stadium service resource based on large data is proposed, and an information fusion model for dynamic evaluation of the service resources of the intelligent stadium is constructed, The distributed storage structure of the intelligent stadium service resource is analyzed, the large database reconstruction of the intelligent stadium service resource is realized by adopting the cloud computing method, a characteristic reconstruction method is adopted to carry out the dynamic evaluation design of the intelligent stadium service resources, And a cloud computing model for dynamically evaluating the service resources of the intelligent stadium is established. By adopting the method of large data fusion to realize the dynamic evaluation of the service resources of the intelligent stadium and the stadium, the dynamic correlation dimension extraction of the intelligent stadium service resource information base is realized by combining the self-correlation characteristic matching method, and the optimization design of the intelligent stadium service resource dynamic evaluation platform is realized. The simulation results show that the method can be used to evaluate the dynamic evaluation of the intelligent stadium service resources, and the accuracy of the evaluation is higher, and the dynamic evaluation ability of the intelligent stadium service resources is improved.