We are
InBuild AQM is a central management system for monitoring indoor AQM for commercial and industrial buildings. We confidently provide a cloud-based software accessible on a web browser and app.InBuild AQM further leverages the recent availability of a wide range of sensor technologies on the market, enabling a revolutionary shift in air pollution monitoring and assessment.
PRODUCT KEY FEATURES
Central Management Dashboard
Monitoring the quality of indoor air by identifying air pollutants within specific areas in a building
Real-Time Data
All historical data by room and types of pollutants and provide a report for presentation to the user.
Multi Site Control
Data on several sites can be shared on the same platform
Machine-Learning Calibration Model
Enabling an accurate commercial and industrial monitoring system for buildings
HOW IT WORKS
ML calibrated sensor
Cloud-based center
Dashboard center
management system & APP
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1 —
Data consultation
Our team of professionals can consult your enquires about the air quality management challenges that may be experiencing at your building site.
2 —
Platform implementation
AQM’s innovative data central dashboard utilizes ML-calibrated sensors that continuously sample the room air for measuring volatile organic compounds (VOCs), particulate matter (PM)2.5, as well as temperature and relative humidity (RH). Data is wirelessly transferred from low-cost sensors and calibrated by machine learning for accuracy, on a 5G network that allows for large and fast data transfer.
3 —
Automating implementation
The dashboard allows users to monitor the parameters of any room and branch location on a real-time basis. Users can also analyze historical trends in these locations that are useful for reporting purposes. The system will alert users of any deviation from the recommended air quality health index so that corrective actions can be taken.
PROTOTYPING STATUS
We are under the development phase of prototype (Version 1.1) to ensure the UI and hardware component fitting small in size, quick to respond, and energy-efficient.
Here is our diagram of protyping flow:
