Condensation Risk Monitoring System for Data Centers
Monitoring the risk of condensation in data center equipment cooling.
In a data center, proper temperature and humidity management is essential to ensure the stable operation of information equipment such as servers. In particular, the efficient operation of cooling systems is important for reducing the risk of equipment failure and keeping operational costs down. Condensation can lead to corrosion and failure of equipment, potentially resulting in data loss and system downtime. Our condensation risk monitoring system monitors temperature and humidity, allowing for early detection of condensation risks to prevent these issues before they occur. 【Usage Scenarios】 - Server rooms - Around air conditioning equipment - Cooling water piping 【Benefits of Implementation】 - Reduces the risk of equipment failure - Reduces the risk of data loss - Lowers operational costs
basic information
【Features】 - Calculates dew point temperature from the ambient temperature and humidity to assess condensation risk. - Notifies via email, patrol lamp, and automated voice calls according to risk level. - Optional automatic control of blowers is available. - Cloud-based monitoring accessible from anywhere. - Real-time data monitoring. 【Our Strengths】 We provide the IoT/AI network infrastructure "M2MSTREAM" that contributes to the realization of highly automated, unmanned, and remote societies.
Price information
We will provide individual estimates. Please consult us if you wish to customize the features.
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Model number/Brand name
M2MSTREAM
Applications/Examples of results
■ Automatically determines condensation risk and notifies via email or patrol lamp according to the risk level (Caution / Measures / Alarm). ■ Predicts condensation occurrence risk every hour based on weather forecast data up to 72 hours ahead. ■ It is possible to automatically control the blower based on threshold values. ■ By collecting data over the long term, it becomes possible to analyze locations and times where condensation is likely to occur, as well as effective countermeasures. ■ Remote monitoring via the network can reduce the burden of on-site patrols and other tasks.
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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."