Wind Erosion Automatic weather Station

1.Wind Erosion Automatic weather Station product overview

Wind Erosion Automatic Weather Station obtains measurements of meteorological variables, automatically collecting and uploading information about the sand and the environment.With the development and changes of climate, the negative impact of wind, sand and dust storms on the environment has seriously endangered the human living environment.Therefore, monitoring and early warning of wind, sand and dust storms has become very important in meteorological observation activities.Wind Erosion Automatic weather Station integrates functions such as high-precision comprehensive collection, communication diversification, site data warning, and monitoring points to actively alert superiors.It is suitable for monitoring the wind and sand movement trends and soil wind erosion effects in nature, soil sand and desertification monitoring, soil organic matter (SOC) erosion and other harsh environments, automatically record the starting time and intensity of sediment erosion, the cumulative amount of wind profile sediment changes over time, record the meteorological parameters in the relevant process, analyze the composition of wind erosion, etc.Providing accurate meteorological data to the relevant local water and soil departments can effectively improve the ecological environment and basic conditions of agricultural production, reduce natural disasters such as drought, wind and sand, sandstorms, etc., promote the adjustment of industrial structure, promote agricultural production and farmers' income, and also provide a relatively reliable scientific basis for studying the formation and change laws of wind and sand landforms.

2.Working principle of Wind Erosion Automatic weather Station

This system is an automatic sand collection system, which uses a weighing sensor to automatically record the time and the collected amount of wind and sand; the supporting H11-LIN type wind corrosion sensor is used to measure the momentum flux of sand.The two outputs are kinetic energy and the number of particles impacted.The principle is that the charge is proportional to the kinetic energy of the particles.The relationship between charge, voltage and capacitance is Q=CV., V=Q/C.The fluctuations in the voltage in the capacitor are like irregular stairs, and the kinetic energy of a single particle affects the charge on each stair.The capacitor repeats this process when the voltage applied to the capacitor exceeds the internal reference voltage.The rapid discharge pulse will be converted into the energy value of the particles, which is the accumulation of energy of a single particle.At the same time, it can also monitor and record weather factors such as wind speed, wind direction, temperature and humidity, and radiation.

3.Wind Erosion Automatic weather Station product features

1. Leading Technology: Standard configuration includes a new generation of cloud-based intelligent meteorological and environmental data acquisition unit, embedded with an industrial-grade multi-core ARM data processor. This enables ultra-fast, second-level multi-task synchronous processing, including source data acquisition, precise algorithm processing, full network cloud communication, intelligent control of IoT devices, and green power intelligent management.

2. Data Recording: Automatically records the start time and intensity of wind erosion sediment erosion, as well as the cumulative amount of sediment over time. It achieves a collection efficiency of over 80% for medium to fine dust particles.

3. Wind and Sand Collection: The wind and sand collector utilizes wind energy to draw in air for sampling, collecting dust from the air. The advantage of the sampler with a weighing sensor is that it can record the weight of the collected material layer by layer, with each layer weighing itself independently to determine the wind speed sampling period.

4. Easy Installation: All sensors, data acquisition units, power supply systems, and bracket connectors are designed with modular quick-connect methods. The main body of the bracket is uniformly made of 304 stainless steel 50×50 brushed and polished square tubing, which is rust-resistant and aesthetically pleasing. The design philosophy behind this product is simplicity, ease of use, and convenient assembly/disassembly. On-site installation requires only one person for assembly and debugging.

5. Full Network Communication: The cloud-based intelligent meteorological and environmental data acquisition unit integrates a 4G 13-mode fully compatible wireless communication module, supporting 2G, 3G, and 4G mobile phone cards from China Mobile, China Unicom, and China Telecom. No configuration is required; it automatically connects to the intelligent meteorological network cloud platform upon power-up.

6. Dual Cloud Platforms: Simultaneous access to both PC and mobile cloud platforms. PC users can log in to the cloud platform via a web browser to view, download, control, and analyze data. Mobile users can log in to the cloud-based APP via WeChat QR code for data querying and analysis.

7. Software Management: The cloud-based software supports multi-level user permission management and function allocation, dynamically displays the concentration distribution of meteorological and environmental factors across the entire region, supports data querying and analysis, data alarm settings, alarm push notifications, event processing statistics, and multi-faceted in-depth scientific data support. Through communication and interaction with front-end intelligent devices, intelligent analysis, and control linkage, administrators can promptly understand the data center's operational status and achieve comprehensive data center management.

8. Green Power Supply: 200W 130AH solar power.

9. Extended Functions: Utilizes a brand-new IoT management and control system module, which can set up linkage mechanisms based on real-time data collected from the site to start and stop early warning devices and control devices.

4.Wind Erosion Automatic weather Station technical indicators