In the context of the city, rain is not only the nectar that nourishes all things, but also the "examiner" that tests the urban drainage system. With the frequent occurrence of extreme weather events, how to efficiently and accurately monitor rainwater dynamics has become an urgent problem for city managers to solve. Rainfall monitoring stations are the product of this need. It integrates advanced technologies such as the Internet of Things, big data, and cloud computing, and is like the city's "smart eye" that continuously monitors the whereabouts of every drop of rain 24 hours a day.

The WX-YJ1 rainfall monitoring station collects key data such as rainfall, rainfall intensity and water quality changes in real time through a network of sensors throughout the city. After intelligent analysis and processing, these data can not only provide early warning information for the urban drainage system to prevent the occurrence of waterlogging disasters, but also provide scientific basis for the reasonable allocation of water resources and the protection of water environment. More importantly, the system can automatically identify abnormal rainfall conditions and respond quickly, gaining valuable time for emergency rescue.

With the help of rainfall monitoring stations, city managers can plan urban drainage facilities more scientifically, optimize the layout of drainage networks, and improve drainage efficiency. At the same time, the system can also promote the utilization of rainwater resources, such as through the rainwater collection system to be used in urban greening, road cleaning, etc., to achieve the recycling of water resources and promote the green development of the city. In addition, the system can also provide strong support for urban flood control and disaster reduction, water ecological restoration and other work, and comprehensively improve the city's comprehensive disaster prevention and disaster reduction capacity.

With the continuous progress of technology and the deepening of application, rainfall monitoring stations will play a more important role in urban management. In the future, we can look forward to the emergence of more intelligent and refined stormwater management solutions, such as intelligent prediction models based on AI algorithms, which can predict rainfall conditions hours or even days in advance, providing city managers with more adequate response time.