We monitor the risk of condensation that causes corrosion and ensure the safety of the plant.
In the chemical plant industry, equipment corrosion is a significant issue that can lead to operational shutdowns and decreased safety. Particularly in environments where temperature and humidity can fluctuate, the occurrence of condensation is a major factor that accelerates corrosion. Our condensation risk monitoring system calculates the dew point temperature from the ambient temperature and humidity, and assesses the risk of condensation by monitoring the difference between the surface temperature of the monitored object and the dew point. By notifying through email, patrol lamps, and automated voice calls according to the risk level, we encourage prompt responses and prevent equipment troubles caused by corrosion. 【Usage Scenarios】 * Piping within chemical plants * Tanks * Reaction towers * Other equipment with high corrosion risk 【Benefits of Implementation】 * Suppression of equipment corrosion * Reduction of maintenance costs * Stabilization of operations * Improvement of safety
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basic information
**Features** * Calculates dew point temperature from ambient temperature and humidity * Monitors the difference from the surface temperature of the monitored object * Notifications based on risk levels (email, patrol lamp, automated voice calls) * Automatic control options for blowers * Cloud-based monitoring accessible from anywhere **Our Strengths** We provide the IoT/AI network infrastructure "M2MSTREAM" that contributes to the realization of highly automated, unmanned, and remote societies. It seamlessly connects edge devices and the cloud, enabling high-speed automated processing through real-time data collection and analysis. We support the construction of optimal systems tailored to our customers' needs.
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 ahead. - Capable of automatically controlling the blower based on threshold values. - By collecting data over the long term, it becomes possible to analyze locations and times prone to condensation and effective countermeasures. - Remote monitoring via 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."










