水文自动测报物联网系统及通信组网与服务

目前流域、省域级水文测报存在着数据收集分散,采集网络整合力度不够,采集手段缺乏相互关联,时间空间布局存在部分交叉和空白,对整个观测区域有效信息的捕捉和服务能力受限等问题。为此,提出并设计一种基于CPS(信息-物理融合系统)体系架构的水文自动测报物联网系统技术模式,并对水文自动测报物联网系统应用设计、复合通信体制(多种通信体制)联合组网、信息共享服务等关键技术提出解决方案。这种基于CPS物联网架构的水文测报技术模式和关键技术解决方案,具有"实时感知-物信互联-过程跟踪-智能处理"的核心特征,为提升水文测报的智能感知信息采集体系建设水平,以及提高信息共享服务能力,满足精细化业务管理及支撑水利智能应用要求提供先进有效的技术手段。

Hydrological Data Acquisition IOT System: Communication Networking and Service

At present, the hydrological data acquisition of basin and provincial level have some problems like: data gathering is scattered, integration of gathering network is not effective enough, acquisition methods are lack of relevance, time and space layout is partially crossed and has blank, the abilities of information capture on whole observation area and the effective information service are limited, etc. Therefore, this paper proposes and designs a hydrological data acquisition IOT (Internet Of Things) System technique model based on the CPS (Cyber Physical System), and puts forward solutions to such key technology as the hydrological data acquisition IOT system applied designing, compound communication system (multiple communication system) joint networking, information sharing service. These solutions have a core characteristic that is "real time-information things connect-process tracking-intelligent processing". And they provide advanced and effective technical methods to promote the construction level of intelligent perceptive and informative collection system of hydrological data acquisition, to improve the information sharing service ability, and to meet the requirements of the elaborating management, as well as requirements of upholding for water conservancy intelligent application.