Condensation Risk Monitoring System for Food Manufacturing
We monitor the risk of mold occurrence in food manufacturing to ensure quality.
In the food manufacturing industry, it is important to suppress the occurrence of mold in order to maintain product quality. Particularly in environments with high temperature and humidity, condensation is likely to occur, which can become a breeding ground for mold. Condensation can lead to product deterioration and unpleasant odors, potentially damaging a company's reputation. 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 via email, patrol lamps, or automated voice calls according to the risk level, we encourage prompt responses and suppress the occurrence of mold. 【Usage Scenarios】 - Food storage warehouses - Manufacturing lines - Refrigeration and freezing equipment - Product quality control 【Benefits of Implementation】 - Reduction of mold occurrence risk - Maintenance of product quality - Reduction of food waste - Gaining customer trust
basic information
【Features】 - Calculates dew point temperature from ambient temperature and humidity - Monitors the difference from the surface temperature of the monitored object - Notifications according to risk levels (email, patrol lamp, automated voice calls) - Optional automatic control of blowers is available 【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.
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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 for 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 places 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."