We propose solutions that support cooling systems for the stable operation and preventive maintenance of data centers.
Automating the air conditioning temperature settings in the server room with AI. Supporting the reduction of the burden of temperature management.
AI automates air conditioning temperature settings, supporting temperature management tasks and reducing excessive cooling.
Focusing on cooling technologies and materials for AI data centers with increasing demand, analyzing industry and market trends!
A practical market research report systematically organized around thermal management, focusing on structural changes in the AI infrastructure market, competitive strategies of major companies, market size, and the supply chain.
Responding to changes in heat generation after expansion with AI control to optimize cooling operations.
Automating the control of existing air conditioning with AI to support energy saving and operational efficiency.
Reducing the burden of manual adjustments and individual reliance through AI-based automatic air conditioning control.
Optimize cooling operations with AI in response to heat generation and environmental changes after equipment updates.
Utilizing temperature data for AI air conditioning control to support continuous improvement.
Suppressing excessive cooling with AI to support the reduction of air conditioning power and stable operation.
The air conditioning of the data center is automatically controlled by AI 24 hours a day, reducing the workload of power costs and temperature management.
Modbus compatible. A low-cost, easy-to-install sensor PAL-Temp that can retroactively add temperature and humidity measurement points around the rack to the existing monitoring system.
For early detection of heat buildup and changes in temperature and humidity. A compact sensor that can be easily retrofitted to rack doors.
Check the temperature and humidity of the server room with data, not just relying on the sense during rounds | Low-cost, easy-installation sensor PAL-Temp
Continuously monitor changes in temperature and humidity. Support decision-making for equipment maintenance and verification during abnormalities.
Output temperature and humidity data via Modbus RTU. Add to existing monitoring equipment in the data center.
Automatic control of air conditioning based on rack temperature. Supports reduction of excessive cooling and management load.
Collect and analyze temperature sensor data for use in AI-based automatic air conditioning control.
Support for construction from investigation and proposal, installation work, configuration, operation confirmation to the start of operation.












































