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Cloud-based condensation risk monitoring system for quality management IoT.

■Quality Control IoT Case Studies for Steel, Non-Ferrous Metals, Pulp and Paper, Coating, and Logistics Warehousing■

Monitors the risk of condensation, which can cause rust on steel materials, corrosion on aluminum materials, and uneven paint application. By calculating the dew point temperature from the surrounding environmental temperature and humidity, and monitoring the difference between this and the surface temperature of the monitored objects (products, walls, ceilings, floors, etc.), the risk of condensation is assessed. Notifications are sent via email, patrol lamps, and automated voice calls according to the risk level (caution / countermeasures / alarm) to prompt quick responses such as ventilation or relocation of stored items. As an option, it is also possible to automatically control a blower. *Dew point temperature: The temperature at which condensation occurs on the target object (products, walls, ceilings, etc.), calculated from the surrounding environmental temperature and relative humidity. ▶ For quotation requests, please contact us via [Web Inquiry] ◀ ▶ For more details, please download the [Catalog] ◀

[Manufacturing IoT Case Studies]

basic information

【Equipment Configuration】 1. IoT Control Device (Sensor Unit) 2. Dew Point Meter 3. Surface Temperature Sensor 4. Alarm Device (Patrol Lamp) 5. IoT Control Device (Switch for Fan Control) * Please prepare client devices (computer, smartphone, tablet) by the user. * The router (SIM card) is a rental item. It must be returned after the contract ends.

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 risk levels (caution / measures / alarm). - Predicts condensation occurrence risk every hour based on weather forecast data up to 72 hours ahead. - Capable of automatically controlling blowers according to threshold values. - By collecting data over the long term, it becomes possible to analyze locations and times prone to condensation and effective countermeasures. - Remote monitoring via network can reduce the burden of on-site patrols and other tasks.

Detailed information

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