A Mobile Weather Station is a highly integrated, rapidly deployable meteorological observation device. Based on micro-electro-mechanical systems (MEMS) technology, it condenses the functions of traditional weather stations into a portable device, enabling you to obtain precise meteorological data at specific locations within a short time.
Modern portable weather stations generally adopt ultrasonic measurement principles, detecting wind speed and direction by emitting continuous frequency-modulated ultrasonic signals and measuring relative phases, avoiding wear issues of traditional mechanical sensors. With high integration, the device can simultaneously monitor basic meteorological parameters such as temperature, humidity, wind speed, wind direction, air pressure, and rainfall, as well as air quality parameters including PM2.5, PM10, CO, SO2, NO2, and O3. The sensor housing is mostly made of imported ASA material with a protection rating of IP65 or higher, enabling stable operation in harsh environments.
With a total weight of no more than 5 kilograms, a single person can complete the entire process from unpacking to starting monitoring within a few minutes, improving the efficiency of emergency response and temporary observation.
Powered by a large-capacity lithium battery with a capacity of up to 12000mAh, it provides over 32 hours of battery life. For data storage, it can store no less than 500,000 records and supports multiple wireless transmission methods including 4G, LoRa, or Bluetooth, enabling real-time data transmission to cloud platforms.
It has a wide range of applications. In the meteorological field, it can be used for rapid deployment of temporary observation stations; in agricultural production, it can provide precise temperature, humidity, and illumination data support to help optimize planting schemes; in environmental monitoring, it can be used for air quality assessment and pollution source tracking; in emergency rescue, especially after natural disasters, it can quickly provide on-site meteorological data to support decision-making. It is also widely used in forestry, scientific research expeditions, campus education, airports, ports, and other fields.

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