■Case Studies of Quality Control IoT for Steel, Non-Ferrous Metals, Pulp and Paper, Coating, and Logistics Warehousing■
We monitor the risk of condensation, which can cause rust on steel materials, corrosion on aluminum materials, and unevenness in paint. By calculating the dew point temperature from the ambient temperature and humidity, and monitoring the difference between this dew point and the surface temperature of the monitored objects (such as products, walls, ceilings, and floors), we assess the risk of condensation. Notifications are sent via indicator lights, buzzers, email, LINE WORKS, and phone calls (automated voice) according to the risk level (caution / countermeasures / alarm), prompting quick responses such as ventilation or moving stored items. As an option, it is also possible to automatically control countermeasure devices such as blowers (ON/OFF via external contact output). *Dew point temperature: The temperature at which condensation occurs on the target object (products, walls, ceilings, etc.), calculated from the ambient temperature and relative humidity. ▶▶▶ For more details, please download the PDF ◀◀◀
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basic information
【Equipment Configuration】 1. Communication and Sensor Unit 2. Dew Point Meter 3. Surface Temperature Sensor 4. Control Device 5. Alarm Device (Optional) * Please prepare the client terminal (computer, smartphone, tablet) by yourself. * The router (SIM card) is a loaned item. It must be returned after the contract ends.
Price information
We will provide individual estimates. If you would like customization tailored to the site, please consult with us.
Delivery Time
※Please contact us.
Applications/Examples of results
■ It automatically determines the risk of condensation and enables prompt responses such as appropriate ventilation and relocation of stored items by notifying through display lights or emails according to the risk level (Caution / Measures / Alarm). ■ It predicts the likelihood of condensation occurring based on weather forecast data every hour for up to 72 hours ahead. ■ 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. ■ It can be monitored remotely via a network, reducing the burden on-site for data management and other tasks. ■ By incorporating weather forecasts announced by the Meteorological Agency, it is possible to predict the risk of condensation occurrence (optional).
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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."