We monitor the risk of condensation in the freezer and refrigerator to protect the quality of food.
In the frozen and refrigerated food industry, temperature management is extremely important, and condensation inside the storage area poses a significant risk of food quality deterioration and equipment failure. Particularly in environments with drastic temperature changes, it is essential to detect the occurrence of condensation early and take appropriate measures. Our condensation risk monitoring system calculates the dew point temperature from temperature and humidity, visualizing the risk of condensation occurrence, thereby contributing to the maintenance of food quality. 【Usage Scenarios】 - Inside frozen and refrigerated warehouses - Food storage warehouses - Logistics centers requiring temperature management 【Benefits of Implementation】 - Early detection of condensation risks - Preservation of food quality - Prolonged equipment lifespan - Reduction of unnecessary costs
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basic information
**Features** - Calculates dew point temperature from ambient temperature and humidity - Displays condensation risk levels in three stages (Caution / Measures / Alarm) - Notifies via email, patrol lamp, and automated voice calls - Automatic control of blowers available as an option **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 fast automated processing through real-time data collection and analysis.
Price information
We will provide individual estimates. Please consult us if you wish to customize the features.
Delivery Time
※Please contact us.
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 according to threshold values. - By collecting data over the long term, it becomes possible to analyze locations and time periods 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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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."
