Remote Control System for Axial Fans for Data Centers
Automation and efficiency of temperature management in data centers.
In a data center, proper temperature management is essential for the stable operation of servers. Temperature increases can lead to equipment failure and performance degradation, necessitating 24/7 monitoring and prompt responses. Our axial fan remote control system streamlines temperature management in data centers through remote fan control and automation, supporting stable operations. 【Use Cases】 - Control of cooling fans in data centers - Automated operation linked to temperature and humidity monitoring - Remote ON/OFF operation of fans 【Benefits of Implementation】 - Energy savings through efficient temperature management - Reduced downtime due to early response to anomalies - Lower operational costs through remote control
basic information
【Features】 - Manual operation of axial fan ON/OFF using on-site control buttons - Remote operation of axial fan ON/OFF from PC or smartphone - Automatic control through integration with temperature and humidity sensors - Automatic control via scheduling functions on the cloud - Anomaly detection through integration with vibration sensors 【Our Strengths】 We provide the IoT/AI platform 'M2MSTREAM' that contributes to the realization of highly automated, unmanned, and remote societies. It seamlessly connects edge devices and the cloud, enabling fast automatic processing through real-time data collection and analysis.
Price information
● We will provide individual estimates. ● Please consult us if you would like customization tailored to the specific use at the site.
Delivery Time
Model number/Brand name
M2MSTREAM
Applications/Examples of results
■ Since it can be operated from a remote location, the need to go to the site is reduced, improving work efficiency. ■ It ensures the safety of workers as it can be operated remotely even in hazardous areas, high temperatures, or high altitudes. ■ It allows for operation only when necessary and in the required amount, optimizing energy consumption. ■ Since the operating status and abnormal history can be checked remotely, it makes planning maintenance and responding to site issues easier.
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We provide the IoT/AI network infrastructure "M2MSTREAM," which seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, all of which are essential for realizing a highly automated, unmanned, and remote society. "M2MSTREAM" connects edge devices and the cloud seamlessly, enabling high-speed automated processing through real-time data collection and analysis. It has standard IoT functions necessary for collecting real-world data and remote operation of devices, allowing for the rapid construction of IoT/AI systems by customizing and adding AI functions. We contribute to the realization of a highly automated, unmanned, and remote society through "M2MSTREAM."

















































