System configuration
| Power supply | 7.4 V, 3000 mAh low-temperature lithium-polymer battery |
|---|---|
| Memory and storage | RAM: 4G; ROM: 64G |
| Equipment interfaces | USB Type-C charging |
| Wireless communications | 2G / 3G / 4G cellular connectivity and dual-band Wi-Fi |
| Camera | 5-megapixel autofocus camera |
| Display | 5.7-inch display, 2160 × 1080 pixels |
| Positioning | GPS + BeiDou |
| Communications protocol | TCP/IP |
| Printer | Embedded 58 mm thermal printer |
| Card reading | Embedded ID-card information recognition module |
Air-monitoring instrument principles
The air-monitoring instrument combines potentiostatic electrochemical sensing for pollutant gases with light-scattering measurement of dust. Its electronic and network-communications functions support the requirements of automatic urban ambient-air monitoring.
The development approach emphasizes locally manufactured equipment, practical operation and cost effectiveness as an alternative to comparable imported instruments.
Automatic sampling, analysis and records
The instrument displays gas and inhalable-particle concentrations together on the same screen and can monitor four parameters simultaneously. It automatically samples and analyzes the air, displays the measured concentrations and calculates daily and monthly averages.
Monitoring records, including the average values, can be stored for 30 days. USB and RS485 data-transfer interfaces allow the stored information to be exported to a computer.
Power options and mobile deployment
A rechargeable lithium battery powers the instrument, and AC 220 V operation is also supported. When connected to AC 220 V, the system charges the internal battery. If AC power is unavailable, it automatically switches to battery operation.
The equipment can be used as a portable instrument or for online monitoring. Its compact form and portable trolley case make it easier to move between monitoring locations.
Environmental analysis software
The host-computer software uses recorded data and analysis results to evaluate local pollution conditions and predict their development trends. This information supports decisions about environmental management in the monitored area.
