The Rainfall Monitoring Station: Empowering Urban Flood Management with Intelligence

In recent years, extreme weather events have occurred frequently. Urban waterlogging caused by heavy rainfall and mountain flood disasters have become important hidden threats to public safety. According to statistics, the average annual economic losses caused by floods globally are as high as tens of billions of US dollars. Facing this challenge, the intelligent transformation of flood control and disaster reduction work is imperative. The rainfall monitoring station (FT-YJ1/YJ2 series) developed by Fengtu IoT, through the deep integration of Internet of Things technology and intelligent analysis platform, has built a "smart defense line" for urban flood control.

Analysis of the Core Functions of the System

1. Intelligent Early Warning and Real-time Monitoring

The system has preset a multi-dimensional threshold model. When the monitored data triggers the early warning conditions, it will issue alarms simultaneously through multiple channels such as audible and visual alarms, SMS push notifications, and APP notifications, achieving a second-level response to rainfall and potential dangers.

2. Three-dimensional Visualization Decision Support

Based on the GIS (Geographic Information System), the system intuitively displays the distribution of monitoring points on the electronic map, and real-timely marks key information such as the status of equipment and rainfall data. It supports the retrieval of historical data and three-dimensional scene simulation.

3. Multi-department Collaborative Scheduling Management

When an abnormal rainfall event occurs, the system automatically generates an emergency response plan and synchronizes it to the relevant responsible departments through the intelligent work order system, realizing the full-process digital management of cross-departmental collaborative response.

4. Deep Mining and Application of Big Data

By using big data analysis technology, the system can deeply mine historical monitoring data and establish a rainfall-runoff model, providing a quantitative basis for decisions such as the optimization of drainage pipe networks, the reserve of emergency supplies, and the renovation of waterlogging-prone areas.

5. Multi-modal Transmission Network

It supports a hybrid networking of GPRS/4G/bluetooth. In areas with weak signals such as mountainous areas, LoRa self-organizing network relays are used, and the data transmission success rate is increased to 99.7%.

The rainfall monitoring station has established a closed-loop management system of "monitoring - analysis - early warning - handling". Through the deep integration of physical prevention and technical prevention, it effectively improves the intelligent level of urban flood control and drainage, and creates an intelligent defense system for safeguarding urban safety. In the future, Fengtu IoT will continue to focus on the field of hydrological monitoring and use scientific and technological innovation to help the high-quality development of the disaster prevention and reduction cause.