Solution Overview
Weather services sit under farming, transport, emergency response, and energy dispatch. Meteorological disasters in China cause more than 300 billion yuan in losses a year, and heavy rain, drought, and typhoons keep returning. Official stations are spaced about 30 kilometers apart on average, so the map is coarse, industry-specific needs are hard to meet, and warnings arrive late. This solution uses IoT sensors and compact, lower-cost stations to measure temperature, humidity, precipitation, wind speed, wind direction, pressure, and radiation at a finer scale, then uses big data and artificial intelligence for hazard alerts and sector services.
The same design serves agriculture, transport, cities, and energy. The agriculture module advises on soil moisture, evapotranspiration, a suitable sowing window, and frost, drought, or heavy-rain warnings. Hazard alerts cover short-range warnings for heavy rain, strong wind, hail, lightning, and heat, pushed to the people who need them. Governments and companies take the data through an API or an operations screen. Official stations and industry stations can be read together, so the observation network is denser and the service is finer.
Standards and Typical Sites
Stations should follow the Specification for Surface Meteorological Observation. Temperature, humidity, and pressure sensors need to meet operational accuracy. Data moves over Modbus, SDI-12, and similar protocols. Agriculture: a farm of 1,000 mu or more typically takes one or two stations, linked to irrigation and crop-protection systems. One mu is about 667 square meters. Roads: one station every 10–20 kilometers on a motorway, with alerts for patchy fog and icy pavement. Cities: compact stations in business parks and neighborhoods watch the heat island and waterlogging risk. Energy: solar and wind sites measure radiation and wind speed to support power forecasts.
