4g router with ethernet application in reservoir safety
Reservoir safety has always been an important issue concerned by flood control authorities. In order to strengthen reservoir safety supervision, it is urgent to establish a set of rapid response automatic water situation monitoring and reporting system. Based on E-Lins industrial 4g router with ethernet, the hydro logical data can be collected timely and accurately. It can forecast water conditions to increase the effective forecast period and take necessary measures in advance. The system can realize automatic collection of rainfall, water level and image (video) in reservoir area. After the completion of the system, it will further realize the real-time monitoring of the rainfall level in the reservoir basin, obtain the information of water situation and rain situation timely and accurately, improve the level of flood prediction and report, and enhance the ability of disaster prevention and resistance and water distribution and dispatching.
Front-end systems: The front-end equipment layer includes all the equipment deployed at the site of the monitoring point, such as HD cameras, water level gauges, etc. It is the signal source of the whole system, which generates video, audio, switching and other signals, and transmits them on the spot through 4G network.
Transmission network: The transmission network layer is mainly the Elins industrial router, which transmits various signals such as video and audio sent by front-end equipment to the management platform and monitoring center.
Management platform: The monitoring management layer manages all users, data and control information, is responsible for data switching, display, storage and related processing, issues user control commands, and is also responsible for user authentication and authorization. Provide back-end services in a variety of integrated business man-machine interface interface and open platform. At the same time, Elins has cloud management platform software for customers, who can manage routers in batches through their own servers.