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Time:2026-02-04 15:29:07 Popularity:11
In the rapid evolution of the Internet of Things (IoT) architecture today, the stability of the edge sensing layer directly determines the decision quality and response efficiency of the entire system. For system integrators, IoT solution providers, project contractors, and engineering companies, ultrasonic weather monitoring stations have evolved from traditional meteorological instruments into key data acquisition front-ends. They utilize the ultrasonic time-of-flight principle to achieve non-contact measurement of multiple parameters such as wind speed, wind direction, temperature, humidity, and barometric pressure, providing continuous, high-precision environmental data streams that support seamless embedding into large-scale IoT platforms.
NiuBoL's ultrasonic weather monitoring station series adopts a fully digital design with no mechanical moving parts, ensuring long-term reliability under extreme weather conditions. This sensing capability is driving various application scenarios from smart street lights to autonomous driving test fields, helping integrators build more resilient and scalable IoT ecosystems.
When deploying IoT solutions, system integrators often need to handle multi-source heterogeneous data and remote deployment challenges. The advantages of ultrasonic weather monitoring stations lie in their high integration and low power consumption characteristics, enabling them to serve as standardized sensing nodes embedded in various vertical domains.
In smart city projects, monitoring stations are commonly installed on smart street light poles or environmental monitoring station pillars. As the "meteorological brain," they collect real-time parameters such as wind speed, wind direction, temperature, humidity, and atmospheric pressure. Through these data, integrators can achieve dynamic lighting control: when wind speed exceeds a threshold or rainfall is detected, automatically adjust street light brightness or activate energy-saving modes. At the same time, data is uploaded to city-level IoT platforms, supporting linkage with traffic flow and air quality sensors to form comprehensive environmental situational awareness.
The agricultural IoT field is another typical scenario. For large-field or greenhouse projects, NiuBoL monitoring stations provide precise wind, temperature, humidity, and pressure data as inputs for automatic irrigation and ventilation control. Integrators can develop rule engines: when relative humidity falls below a set value and wind speed is low, trigger drip irrigation systems; combined with barometric pressure trends to predict frost risks, achieving proactive crop protection. In a smart farm project on the North China Plain, after integrating multi-point deployed ultrasonic stations, irrigation water efficiency improved by approximately 25%, and crop yield fluctuations significantly decreased.
Industrial and transportation applications are equally prominent. For example, in autonomous driving test fields or port logistics parks, monitoring stations serve as environmental sensing units, providing real road condition weather benchmarks for algorithms. Wind speed vector data is used to calibrate vehicle dynamic models and prevent crosswind interference; temperature and humidity parameters support sensor fusion to enhance positioning accuracy in adverse weather. In these scenarios, engineering companies often combine monitoring stations with edge computing gateways to achieve local data preprocessing and reduce cloud load.
These application scenarios demonstrate that ultrasonic weather monitoring stations are not just data collectors but reliable anchors in the IoT ecosystem. They support digital twin modeling, helping integrators shift from passive monitoring to proactive predictive maintenance.

NiuBoL ultrasonic weather monitoring stations employ a three-dimensional ultrasonic transducer array, calculating wind vectors by measuring the propagation time difference of ultrasonic pulses in air. This structure without moving parts eliminates risks of mechanical wear, freezing stagnation, and bearing failure, significantly reducing lifecycle costs.
The following are core technical parameters (taking NiuBoL's typical 5-7 in 1 integrated model as an example):
| Parameter | Measurement Range | Resolution | Accuracy | Remarks |
|---|---|---|---|---|
| Wind Speed | 0 ~ 60 m/s | 0.01 m/s | ±(0.1 m/s + 2%) | No start-up wind speed, zero wind speed operation |
| Wind Direction | 0 ~ 360° | 1° | ±2° | 360° omnidirectional, no angle limitation |
| Air Temperature | -40 ~ +80 ℃ | 0.1 ℃ | ±0.5 ℃ | Built-in temperature compensation |
| Relative Humidity | 0 ~ 100% RH | 0.1% RH | ±3% RH | Suitable for high-humidity environments |
| Atmospheric Pressure | 300 ~ 1100 hPa | 0.1 hPa | ±1 hPa | Wide range, adaptable to different altitudes |
| Power Supply Voltage | DC 9 ~ 24 V | - | - | Supports solar power supply |
| Average Power Consumption | < 1 W | - | - | Low power consumption design |
| Output Interface | RS485 | - | - | Standard MODBUS RTU protocol |
| Baud Rate | 9600 bps (default, configurable) | - | - | Supports other rates |
| Protection Level | IP65 or higher | - | - | Dustproof and waterproof, suitable for long-term outdoor deployment |
| Operating Temperature | -40 ~ +80 ℃ | - | - | Wide temperature range |
Compatibility is a key concern for integrators. The MODBUS protocol ensures seamless docking with PLC, SCADA, and mainstream IoT gateways (such as devices supporting MQTT conversion). It supports 4G/5G, LoRaWAN, or NB-IoT modules for remote data upload. NiuBoL provides SDK and register mapping tables to facilitate secondary development of custom protocol conversions.
The low power consumption design allows solar + battery combined power supply, suitable for remote deployments. The absence of mechanical structures further reduces maintenance interventions, with a typical MTBF exceeding 5 years.

Selection should be based on deployment scale, parameter requirements, and communication environment.
For small pilots or single-point monitoring, the 5-in-1 integrated type (wind speed & direction, temperature-humidity-pressure) is recommended, offering cost control and easy installation. For large grid deployments, 7-in-1 or 9-in-1 models are suggested, with additional integration of rainfall, radiation, or noise parameters to form a comprehensive environmental profile.
Communication selection: Prioritize RS485 + 4G in urban or industrial areas; use LoRaWAN for rural or remote agricultural projects to reduce power consumption and coverage costs. When evaluating power consumption, calculate solar panel capacity to ensure data integrity during consecutive cloudy and rainy days.
Accuracy requirements: High-precision wind vectors are suitable for transportation or energy projects; standard configurations meet agriculture and environmental monitoring needs. OEM/customization advantages are significant: NiuBoL supports brand labeling, shell customization, protocol extensions, and batch parameter calibration, suitable for large-scale tender projects by engineering companies.
ROI assessment: Considering the annual maintenance costs of mechanical stations (bearing replacement, de-icing), the investment payback period for ultrasonic stations is typically achieved within 18-36 months.

Several key considerations are required during the integration process.
Installation location: Place in open, unobstructed heights (recommended above 10m pole top) to avoid eddy current interference. Calibrate the transducer array facing true north.
Wiring and power supply: Use shielded RS485 cables; for distances >500m, add repeaters. Power supply uses DC 12V/24V regulated with integrated lightning protection modules.
Protocol integration: Standardize MODBUS registers, defining addresses for wind speed (U/V components), wind direction, temperature-humidity-pressure. When developing edge gateways, implement data packaging and upload to MQTT topics, supporting JSON format.
Maintenance protocol: Quarterly on-site checks for dust accumulation (although no moving parts, transducer surfaces need cleaning).
Risk management: Test extreme weather simulations (such as high temperature, low temperature, strong wind) to verify data latency<5s and packet loss rate <1%.

Q1. What are the main advantages of ultrasonic weather stations compared to mechanical ones?
No moving parts design eliminates wear and freezing risks, low maintenance costs, high data continuity, suitable for long-term remote deployments.
Q2. How to achieve protocol compatibility with mainstream IoT platforms?
Standard MODBUS RTU over RS485, supports MQTT/HTTP conversion gateways. NiuBoL provides register tables and sample code.
Q3. What wireless communication methods are supported?
Optional 4G/5G, LoRaWAN modules, adapting to different coverage scenarios.
Q4. What to note in solar power configuration?
Pair with 30-100W solar panels + lithium battery packs to ensure 7-10 days of operation during consecutive rainy days.
Q5. What aspects does OEM customization support?
Brand labeling, shell design, parameter extensions.
Q6. How does data accuracy perform in extreme environments?
Operating temperature -40–80℃, wind speed accuracy ±(0.1 m/s + 2%), remains stable in sand, dust, and salt fog environments per third-party testing.
Q7. How to manage data synchronization in multi-point deployments?
Through timestamps and gateway aggregation, supports NTP synchronization, with data latency controlled at the second level.

With its maintenance-free, high-reliability, and strong compatibility features, ultrasonic weather monitoring stations have become the preferred sensing nodes for system integrators building IoT solutions. They not only provide precise environmental data but also drive full-chain intelligence from edge decision-making to cloud analysis. NiuBoL is committed to providing partners with stable hardware, flexible integration support, and bulk supply assurance.
If you are planning smart city, agriculture, or industrial IoT projects and seeking reliable meteorological sensing components, welcome to contact the NiuBoL team. We can provide technical solution discussions, prototype testing, and customized support to build a more efficient IoT ecosystem together.
NBL-W-21GUWS-Ultrasonic-Wind-speed-and-direction-Sensor.pdf
NBL-W-61MUWS-Ultrasonic-Weather-Station-Instruction-Manual.pdf
NBL-W-71MUWS-Micrometeorological-Sensor-Operating-Instructions.pdf
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