Monitoring the risk of condensation that can cause failures in precision machinery.
In the precision machinery industry, maintaining product quality and ensuring long-term operation are essential. Particularly for precision instruments that are susceptible to temperature changes and humidity, the occurrence of condensation poses a significant risk of failure and performance degradation. Our condensation risk monitoring system calculates the dew point temperature from the surrounding environmental temperature and humidity, and assesses the condensation risk by monitoring the difference between this and the surface temperature of the monitored object. This enables prompt responses such as ventilation or changes in storage locations, thereby reducing the risk of failure for precision instruments. 【Usage Scenarios】 - Precision machinery manufacturing factories - Precision machinery storage warehouses - Research and development facilities - Quality control departments 【Benefits of Implementation】 - Reduction of failure risk due to condensation - Maintenance of product quality - Improvement of operational efficiency - Cost reduction
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basic information
【Features】 - Monitors the risk of condensation, which can cause rust on steel materials, corrosion on aluminum materials, and uneven paint. - Notifies based on risk levels (Caution / Measures / Alarm) via email, patrol lights, and automated voice calls. - Optionally, it is possible to automatically control a blower. - Dew point temperature... The temperature at which condensation occurs on the target object, calculated from the ambient temperature and relative humidity. - Composed of IoT control devices, dew point meters, surface temperature sensors, alarm devices, and switches for blower control. 【Our Strengths】 We provide the IoT/AI network infrastructure "M2MSTREAM," which seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, essential for achieving advanced automation, unmanned operations, and a remote society.
Price information
We will provide individual estimates. Please consult us if you wish to customize the features.
Delivery Time
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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 in advance. - It is possible to automatically control the blower based on thresholds. - By collecting data over the long term, it becomes possible to analyze places and times where condensation is likely to occur and effective countermeasures. - Remote monitoring via network can reduce the burden of on-site patrols and other tasks.
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Company information
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."
