Data-driven airflow management optimization
Key factors in optimizing PUE through Air Flow Management
The foundation of data center energy saving
Core governance principles for airflow management
Matching of cooling capacity and power supply
Quickly identify the problem in just four steps.
Temperature gradient from the HAVC outlet to the floor outlet
We measure this temperature difference to verify if hot air is leaking back into the underfloor space and assess the severity of the hot aisle containment breach.
Temperature and humidity from the HAVC inlet to outlet
These temperature and humidity differentials are used to evaluate the air conditioner’s performance and to verify dehumidification operation.
Temperature gradient per Unit
We measure this temperature difference to assess the sealing integrity of the cabinet Unit position.
Temperature differential to assess heat dissipation from the cabinet
The temperature differential indicates the presence of any leaks in the cold aisle.
Temperature gradient from the HAVC outlet to the floor outlet
By utilizing a large number of IoT wireless sensors, we can extensively collect temperature data from various points beneath the floor.
Improve operational efficiency while minimizing business disruption with wireless IoT testing instruments.
Increase the use of pressure sensors to detect subfloor space leaks.
Creating a comprehensive temperature contour map of the subfloor
Temperature gradient per Unit
With our custom-designed multi-layer temperature and humidity monitoring instruments, we perform thorough measurements of temperature and humidity at every Unit position on the front of each cabinet.
Complete recording of temperature and humidity data
Measure the airflow rate of each cabinet with an air flow meter.
Create visual representations of temperature, humidity, and airflow distributions.
Temperature differential to HAVC inlet from the cabinet outlet
We primarily rely on the temperature difference to evaluate the integrity of the sealed passage.
Create a visual representation of the hot aisle.
Calibrate the accuracy of the air conditioning sensor.
Visually identifying leak points using thermal imaging.
Temperature and humidity from the HAVC inlet to outlet
Determine the operating condition and actual cooling load of an air conditioning system by analyzing the humidity content of the air.
Determine the HAVC operating status.
Calculate the total cooling load of the HAVC.
Calculate the Critical Cooling Capacity Factor (CCF) and identify potential areas for Power Usage Effectiveness (PUE) optimization.