Protects the goods in the warehouse from condensation and maintains quality.
In the warehouse industry, maintaining the quality of stored goods is crucial. Condensation can cause rust on steel, corrosion on aluminum, and uneven paint, potentially diminishing the value of the cargo. 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 objects. Notifications are sent via email, patrol lamps, and automated voice calls according to the risk level, prompting quick responses such as ventilation or relocation of stored items, thereby protecting the quality of the cargo. 【Usage Scenarios】 - Temperature and humidity management within the warehouse - Measures against condensation on stored goods - Streamlining quality management 【Benefits of Implementation】 - Maintenance of cargo quality - Reduction of complaint occurrence risk - Cost savings
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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) - Optional automatic control of blowers available - Real-time monitoring **Our Strengths** We provide the IoT/AI network infrastructure "M2MSTREAM," which 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. - It is possible to automatically control the blower according to the threshold. - By collecting data over the long term, it becomes possible to analyze locations and time periods 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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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."
