With the arrival of the flood season, floods have caused serious casualties and property losses. Through the Internet of Things technology to establish small and medium-sized river hydrological monitoring system, real-time monitoring of water and rain conditions is conducive to timely grasp of changes in water conditions. In addition, through the analysis of historical data can also be effective prediction of hydrological changes, greatly reducing the losses caused by disasters.
System Introduction
The hydrological monitoring system for small and medium-sized rivers collects parameters of rivers, streams, lakes, reservoirs and groundwater through professional detectors for real-time monitoring, and uploads the data to the online monitoring center by wireless communication. Staff can understand the online monitoring data, images, video and other information through the big screen. This can assist the staff to monitor the site situation remotely to accurately determine the river status and realize the accurate prevention and control of floods.
System characteristics
The system mainly applies the EG8200 edge computing gateway. The gateway adopts a high-performance processor with various functions such as intelligent data collection, equipment protocol conversion, data processing and forwarding, global unified scheduling and control. It can intelligently collect and report rainfall, water level, water quantity, water quality and other information, with rich interfaces and strong scalability.
1. EG8200 gateway di edge computing, safe, reliable, real-time and accurate. It has superb moisture-proof, lightning-proof and electromagnetic interference-proof capability. It can operate stably in harsh environments and plays a very important role in flood control.
2. EG8200 is an intelligent gateway with edge computing function. It supports secondary development and has powerful device linkage control capability. It supports autonomous execution of device management, multi-device linkage, event analysis, and exception handling.
3. The gateway can collect and process data in real time, by reducing the amount of data transmitted remotely.EG8200 adopts energy-efficient computing chips to effectively improve the efficiency of data transmission and processing.
4. EG8200 gateway can remotely manage and control the monitoring devices. It supports remote parameter configuration and device status view to improve the online rate of devices. It supports timed collection and reporting to the center platform, which allows it to respond quickly and take emergency measures in case of emergency.
System Composition
The system is mainly divided into three parts, namely: data collection end, data transmission end and monitoring center end.
Data Acquisition End: The data acquisition devices are thermometer, wind direction anemometer, rain gauge, flow rate meter, water level meter, camera and so on. They can detect temperature, humidity, wind speed, wind direction, rainfall, water quality, water flow rate, water volume, water level, video images and other information.
Data transmission side: Data transmission relies on the wireless network with high coverage of major carriers. The collected data are transmitted and processed to achieve the purpose of remote monitoring.
Monitoring Center: The monitoring center is mainly composed of data server, application server and monitoring screen. It realizes the functions of data storage, calculation, analysis and monitoring. Process the data returned from the front-end in time and monitor the rainfall information in real time. According to the water level and image data timely flood warning for downstream areas.
System Value
The hydrological monitoring system for small and medium-sized rivers realizes remote monitoring and control of flood control equipment through edge computing gateway. It can real-time data collection and transmission, security and data protection and other functions. What’s more, it can help the relevant personnel to grasp the river water level, flow rate and other information in time, which greatly improves the efficiency of flood control work.