EcoTracX Mobile Atmospheric Monitoring Service

EcoTracX is a mobile atmospheric monitoring service based on new energy vehicles, equipped with high-precision multi-component gas analyzers capable of real-time monitoring of gases such as NH3, N2O, CH4, CO2, and H2O. By integrating advanced sensors and a self-developed Gaussian plume diffusion inversion model, EcoTracX provides more accurate and comprehensive data on pollutant emissions and distribution.




  • Details
Product Features

Mobile Monitoring: Vehicle-based platform offers broad coverage, ideal for data collection in dynamic environments.
High Sensitivity: Detects trace amounts of greenhouse gas emissions, ensuring the accuracy of monitoring results.
Real-time Feedback: Provides real-time data analysis and report generation, enabling quick decision-making for policymakers.
Customized Services: Tailored monitoring routes and data analysis models based on customer requirements to meet specific monitoring needs.


Point Concentration Monitoring


Place the cabinet containing the analyzer at the monitoring point, no additional protection devices are needed to measure ambient methane concentration. The cabinet can be moved to a new monitoring point as needed.



Concentration Mobile Monitoring


The analyzer's power consumption is around 30W, making it suitable for vehicle-mounted use. The mobile solution uses a new energy vehicle platform (minimizing the impact of vehicle self-emissions) and is equipped with a high-frequency sampling open-path GHG analyzer. This allows for the creation of GHG emission maps in industrial and agricultural areas, making it an excellent choice for long-term, regular monitoring of GHG emissions in traffic-dense areas by research institutions and government departments.



Plume Method for Emission Source Intensity

Place fixed wind speed monitors near the emission source to observe wind direction and speed, and select stable wind periods.
During the selected period, the vehicle-mounted atmospheric ammonia monitoring system drives back and forth along a downwind route at least five times to capture reliable concentration data.

Using the ammonia concentration data along the entire sampling line, GPS positioning data, and wind direction and speed data from the fixed wind speed monitors, combined with the Gaussian plume model, the emission intensity of the emission source is back-calculated.






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