グリッドリンク IoTプラットフォーム事業部 Official site

Automotive Condensation Risk Monitoring System

A condensation risk monitoring system that protects the quality of automotive parts.

In the automotive industry, maintaining the quality of parts is crucial. In particular, metal and electronic components are constantly exposed to the risk of deterioration due to rust and corrosion from condensation, as well as electrical system malfunctions. Condensation can lead to a decline in product performance and safety issues. Our condensation risk monitoring system calculates the dew point temperature from the ambient temperature and humidity, and determines the risk of condensation by monitoring the difference from the surface temperature of the monitored object. By notifying based on the risk level through email, patrol lamps, and automated voice calls, we encourage prompt responses and reduce the risk of component deterioration. 【Usage Scenarios】 - Storage locations for metal parts - Manufacturing processes for electronic components - Storage locations for finished vehicles - During the transportation of parts 【Benefits of Implementation】 - Maintenance of part quality - Reduction of defective products - Gaining customer trust - Cost reduction

Manufacturing IoT Case Studies

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 available - Cloud-based monitoring accessible from anywhere 【Our Strengths】 We provide an IoT/AI network infrastructure called "M2MSTREAM" that seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, which are essential for achieving highly automated, unmanned, and remote societies. This IoT/AI network infrastructure connects edge devices and the cloud seamlessly, enabling high-speed 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

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 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 prone to condensation and 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."