
FET-MA35-S2 Embedded SoM: Real-Time Industrial Dust Monitoring Solution with Multi-Sensor Integration
Dust monitoring is a real-time online monitoring measure to prevent and control air pollution. Dust monitoring equipment can be used to monitor data such as particulate matter concentration, PM values, temperature, humidity, wind speed and direction in real time. Through real-time data monitoring and alarming, it is possible to promptly prevent and rectify dust pollution.
The FET-MA35-S2 embedded system-on-module, powered by the Nuvoton MA35 series processor, serves as the core of an advanced online dust monitoring solution. Designed for industrial applications, it supports real-time measurement of PM1.0, PM2.5, PM10, and environmental data through multi-sensor integration and stable communication interfaces.
System Composition:
The system consists of a data collector, sensors, a video monitoring system (optional), a wireless transmission system, a background data processing system, and an information monitoring management platform. The monitoring sub-station integrates multiple functions such as atmospheric PM1.0, PM2.5, and PM10 monitoring, environmental temperature and humidity monitoring, wind speed and direction monitoring, noise monitoring, and video monitoring (optional). The data platform is a networked platform with an Internet architecture, which has the functions of monitoring each sub-station, as well as various functions such as alarm processing, recording, querying, statistics, and report output of data. This system can also be linked with various pollution control devices to achieve the purpose of automatic control.
Application Advantages
- Industrial-grade design: It can operate stably in harsh outdoor environments.
- Multiple sensor interfaces: It supports the connection of various high-precision sensors to meet the multi-parameter monitoring needs for dust, environment, noise, etc.
- Real-time communication: It supports both wired and wireless communication technologies to ensure that the monitoring data can be transmitted to the monitoring center in a real-time and stable manner.
- Scalability: There are reserved interface resources, which facilitates subsequent function expansion and upgrades.