Faculty of Innovation and Design, City University of Macau, Macau 999078, China.
Macau University of Science and Technology, Institute of Social and Cultural Research, Macau 999078, China.
Comput Intell Neurosci. 2022 Feb 9;2022:8070939. doi: 10.1155/2022/8070939. eCollection 2022.
Smart city gathers heterogeneous information, which requires a unified data access and collection mechanism. In this paper, based on the computing framework of IoT put forward to satisfy urban sensing network data acquisition, transmission, and computing technology system, according to the function requirements of IoT gateway, we put forward the method of building software system and hardware system and the urban perception network middleware architecture that can meet the demand of M2M, which can realize dynamic management of cognitive resources. It also supports ubiquitous services over HTTP. This is of great significance for providing intelligent services with diversity of solvers, controllers, and computing terminals. This paper focuses on how to comprehensively apply intelligent sensing, wireless transmission, data mining, and other technologies of the Internet of Things to associate data with typical application examples such as vehicle sensing and positioning technology and urban security sensor application. These typical applications can effectively solve the practical problems in urban operation and management, meet the needs of the expansion of the concept of Internet of things in urban management and the continuous deepening of management, and improve the scientific and intelligent level of urban operation and management.
智慧城市汇聚了异构信息,这需要一个统一的数据访问和收集机制。在本文中,基于为满足城市传感网络数据采集、传输和计算技术系统而提出的物联网计算框架,根据物联网网关的功能要求,我们提出了构建软件系统和硬件系统的方法以及能够满足 M2M 需求的城市感知网络中间件架构,实现认知资源的动态管理。它还支持通过 HTTP 进行无处不在的服务。这对于提供具有多样性求解器、控制器和计算终端的智能服务具有重要意义。本文重点研究如何综合应用物联网的智能感知、无线传输、数据挖掘等技术,将数据与车辆感知和定位技术以及城市安全传感器应用等典型应用实例联系起来。这些典型应用可以有效地解决城市运行和管理中的实际问题,满足物联网在城市管理中的概念扩展和管理不断深化的需求,提高城市运行和管理的科学和智能化水平。