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基于物联网的城市公共设施智能控制模型设计实现 被引量:2

Design and implementation of Io T-based intelligent control model for urban public facilities
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摘要 针对城市公共设施智能化程度低,控制模块设计复杂的问题,设计一种基于物联网的城市公共设施智能化模型。所设计的模型通过研究物联网系统特点与结构,把城市需要改进的实际因素利用平台模式的物联网体系进行采集与运算,从而得到智能化优化方案并传递给系统终端用户进行实现。实验根据Linux仿真软件和C语言模拟智慧城市画面,将优化后的城市公共设施加入到原程序中,最终分析出所设计的系统有很高的运行度,控制精度较高。 For the low intelligent degree of the urban public facilities and the complicated design of the control module, an IoT-based intelligent model for urban public facilities was designed. By studying the characteristics and structure of the Internet of Things system, the designed model is used to acquire and calculate the actual factors needing to be improved in the city by means of Internet of Things system in platform mode, so as to get the intelligent optimization scheme, and transmit the scheme to the end user of the system for implementation. In the experiment, the image of the smart city is simulated on the basis of Linux simulation software and C language, and the optimized factors of the urban public facilities are added to the original pro- gram. The final analysis results show that the designed system has high running efficiency and high control precision.
作者 熊杨婷
机构地区 湖北工程学院
出处 《现代电子技术》 北大核心 2017年第24期131-133,共3页 Modern Electronics Technique
基金 国家自然科学基金项目(51402096)
关键词 物联网 公共设施 智能化平台模式 Linux仿真软件 Internet of Things public facility intelligent platform mode Linux simulation software
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  • 1邓晔.物联网在智慧城市中的应用与挑战[J].中国公共安全,2012(3):158-161. 被引量:8
  • 2李向文.欧、美、日韩及我国的物联网发展战略——物联网的全球发展行动[J].射频世界,2010(3):49-53. 被引量:23
  • 3钱大群.智慧的城市在中国[R].IBM商业价值研究院,2009:1-37.
  • 4MIORANDI D, SICARI S, PELLEGRINI D, et al. Internet of Things: Vision, Applications and Re- search Challenges[J]. Ad Hoc Networks, 2012, 10 (7): 1497-1 516.
  • 5International Telecommunication Union. ITU Inter- net Reports 2005:The Internet of things[R]. Gene- va: ITU 2005.
  • 6HURMELINNA-LAUKKANEN p. Enabling Col- laborative Innovation: Knowledge Protection for Knowledge Sharing[J]. European Journal of Innova- tion Management, 2011, 14(3): 303-321.
  • 7SERRANO V, FISCHER T. Collaborative Innova- tion in Ubiquitous Systems[J]. International Manu- facturing, 2007,18(5): 599-615.
  • 8WANGG, FENG X, CHU K H. A Novel Ap- proach for Stability Analysis of Industrial Symbiosis Systems[J]. Journal of Cleaner Production, 2013, 39(1): 9-16.
  • 9WEBER R H. Internet of Things: New Security and Privacy Challenges[J]. Computer Law and Se- curity Review, 2010, 26(1): 23-30.
  • 10司尚奇,曹振全,冯锋.研究机构和企业共生机理研究——基于共生理论与框架[J].科学学与科学技术管理,2009,30(6):15-19. 被引量:43

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