What is included in weather-intelligent equipment? What are the key ideas for selecting weather-intelligence devices? Can it meet the accuracy and stability requirements of specific scenarios?
1. The front-end sensing
Whether deployed in farmland, photovoltaic power plants, or transportation corridors, sensors are always the starting point of data. Modern meteorological sensing systems have long broken through the “temperature and humidity table” stage, and their coverage and depth of application continue to expand:
| Device Type | Primary Function | Typical Applications |
|---|---|---|
| Temperature-Humidity Probe | Real-time monitoring of air temperature and humidity changes | Agricultural greenhouses, urban heat island analysis |
| Ultrasonic Anemometer | Precise measurement of wind speed and direction | Wind farms, port crane safety management |
| Barometric Pressure Sensor / Pyranometer | Monitoring pressure fluctuations and solar radiation intensity | Climate model validation, building energy efficiency simulation |
| Tipping Bucket Rain Gauge / Evaporimeter | Measuring precipitation and evaporation trends | River/lake water management, irrigation systems |
| Negative Oxygen Ion / Air Quality Module | Assessing PM2.5, CO₂, VOC, and other air quality metrics | Urban monitoring, scenic area environmental alerts |
These devices are commonly equipped with digital outputs, standardized interfaces, online self-diagnostics and other features that support continuous operation, remote maintenance and high-frequency sampling. More importantly, they can provide structured, calculable meteorological data flow for the back-end, no longer just “image reading”.
2. Edge Processing
As the number of sensors increases and the frequency of data improves, edge computing devices have become key nodes in maintaining the real-time performance of the system. They usually have the following capabilities:
Protocol compatibility: support MODBUS RTU, RS485, SDI-12 and other mainstream industrial protocols, convenient docking multi-source heterogeneous sensors;
Local processing capability: realizes data cleaning, anomaly screening, and simple algorithm analysis (e.g. moving average, trend fitting);
Local triggering mechanism: support for setting thresholds and performing local IO control, such as automatically starting sprinkler equipment or shutting down the fan system;
Disconnected cache protection: with offline data storage and automatic replenishment function to ensure data continuity.
Some high-end devices also integrate Web-based visual interface, which can be viewed directly through a laptop, tablet or cell phone to view the current status and historical trends, significantly reducing the burden of operation and maintenance personnel.
Summary: edge device EG8200Mini, which is not just a “data transfer station”, but with a preliminary “judgment” of the front-line analysis module.
3. Communication module
| Communication Method | Characteristics | Recommended Applications |
|---|---|---|
| 4G/5G Module | High speed, wide coverage | Wind farms, agricultural fields, mountain weather stations |
| LoRa / NB-IoT | Low power, low bandwidth | Urban dense deployment, air quality networks |
| Fiber / Ethernet | High reliability, high frequency | Urban central stations, airport weather towers |
| Wi-Fi / Bluetooth | Local connection, quick debugging | Temporary deployment, device initial setup |
Especially in alarm scenarios (e.g. strong winds, extreme rainfall), communication instability will easily lead to lagging response of the platform, so network redundancy and stability design should be incorporated into the key ideas for selecting weather-intelligence devices logic at the early stage.
4. Collaborative platform
A good platform can not only “show”, but also become the operation center for users to respond to the environment and risk control. Unified data access → graphical analysis → anomaly response → third-party system linkage
Mainstream weather intelligence platform should have the following capabilities:
Multi-protocol access: Unified access for equipment of different manufacturers and generations;
Visualization report: support curve overlay, indicator comparison, historical trend check back;
Alarm mechanism customization: support the setting of monitoring thresholds, linkage of the execution side of the device (such as dust reduction spray);
Business system integration capability: can be opened with agricultural production scheduling system, hydrological modeling, traffic guidance platform, etc;
Multi-user role authority control: to meet the multi-dimensional use requirements for supervision, operation and maintenance, data analysis, etc.
At present, the IOTRouter cloud platform can be privately deployed + mobile synchronization (APP/Web), which is especially suitable for various industries such as meteorological platforms, so that the site and back-office management can be operated in collaboration.
The key ideas for selecting weather-intelligence devices, is not just hardware procurement, but also system thinking construction
A true understanding of “what meteorological intelligent equipment tools include” means understanding their roles and boundaries in the entire digital environment system. They are not isolated hardware, but part of a closed loop from perception to decision-making.
The key ideas for selecting weather-intelligence devices and platforms will not only improve the quality of monitoring, but will also bring:
Lower O&M costs!
Higher early warning response efficiency!
Clearer risk management model!
