Since China announced its "Carbon Peak and Carbon Neutrality" targets in 2020, ESG (Environmental, Social, and Governance) principles have become a crucial pathway for enterprises to achieve sustainable development. An increasing number of businesses are adopting ESG practices—implementing energy-saving measures, reducing carbon emissions, and minimizing environmental impact to drive long-term sustainability.
Buildings, as key operational sites for enterprises, are among the largest sources of corporate carbon emissions. To address this challenge, Milesight IoT leverages LoRaWAN®-based sensors and smart IoT devices to help businesses construct green, low-carbon buildings, optimizing energy efficiency, cutting emissions, and creating safer, more comfortable spaces—all while supporting China’s "Dual Carbon" vision and enhancing corporate ESG performance.
One of the main advantages of AM307 as a multi-parameter sensor device is, for example, the placement for temperature and humidity sensors is designed to isolate the heat generated when the device is operating. It provides higher accuracy for measurements. It is battery-powered and can also be powered via Type-C. In the classroom, the partner placed a Milesight UG65 LoRaWAN® gateway that is compatible with AM307 sensors. UG65 LoRaWAN® gateway can handle a higher amount of traffic with lower power consumption.
Among all other NoSQL databases, InfluxDB time-series database is well recognized for IoT sensor data storing due to its usage, and efficient query performance. Therefore, we configured InfluxDBCloud as the database service for the proposed model. It is hosted on Azure cloud and can handle large amounts of IoT data. Then dashboard was developed by using ThingsBoard IoT platform to visualize the sensor data.
The partner fully adopted the laser scanning technique for developing the geometric digital twin instant of the classroom. In the modeling process, as-is measurements were totally based on scanned 3D point cloud data captured from the latest and fastest FARO Focus Premium Laser Scanner instead of previous drawings records. The resulting 3D point cloud data was cleaned and registered automatically using Autodesk ReCap, a reality capture software. Then the partner used Autodesk Revit and spectral information from the facility management office for BIM modeling.
One critical step is retrieving IEQ IoT sensor data from InfluxDBCloud to geometric digital twin instant for creating a digital twin. The solution designer used the Data Visualization Extension offered by Autodesk Platform Services (APS) for geometric digital twin instant and IEQ IoT sensor data integration.