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

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M2MSTREAM

last updated：Dec 11, 2025

■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] ◀

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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

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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

Condensation gauge and surface temperature sensor. Simply attach it to the surface of steel plate coils, etc., with the included magnet.
【IoT Control Device (Sensor Unit)】 Lightweight and easy to move. You can change the measurement location as needed, and managing devices and measurement locations is also easy with cloud registration.
The control of the blower is also automated. Remote operation of the power ON/OFF is possible. This significantly reduces the burden on the site.
【Steel and Non-Ferrous Metal Manufacturer】 The disposal of products due to rust on steel materials and corrosion of aluminum materials results in significant economic losses. Additionally, with limited on-site personnel, monitoring condensation risk and managing the operation of blowers is a considerable burden.
The "coil center," which also serves as a distribution business connecting steel manufacturers and consumers, is required to implement measures against condensation to improve quality control.
When high humidity outdoor air enters through the loading dock shutter, the structure (steel frame components, floor surface) cannot keep up with the surrounding temperature rise and condensation occurs.
【Painting Factory】 Condensation can cause uneven paint application. We monitor the risk of condensation occurrence through temperature and humidity monitoring in the painting booth.
Cloud-based condensation risk monitoring system. It is a cloud-based system that has been adopted and is currently in operation by major manufacturers.
【Web Screen_Measurement Value List】 Monitor multiple measurement locations at once. It is possible to manage multiple sites within a factory as well as factories across the country in a list format.