Cloud-based Fan Automatic Control System for Quality Management IoT
■Case studies of quality management IoT for steel, non-ferrous metals, paper, painting, and logistics warehouses■
In large spaces such as factories and logistics warehouses, numerous blowers are introduced and managed to achieve the following effects: ■ Suppression of condensation By blowing air in low-temperature, high-humidity areas where condensation is likely to occur, we can suppress the generation of moisture, wetness, and condensation. ■ Prevention of heatstroke By lowering body temperature through air blowing, the risk of heatstroke for workers is reduced. To maximize these effects, it is necessary to operate a large number of blowers properly, and in large spaces, remote control and automatic control functions are required. By linking with our "Condensation Risk Monitoring System" (https://www.ipros.jp/product/detail/2000618805/), it becomes possible to achieve energy savings while demonstrating the effectiveness of condensation countermeasures. ▶ For quotation requests, please contact us [ via the web ] ◀ ▶ For more details, please [ download the catalog ] ◀
basic information
【Equipment Configuration】 1. Power Controller 2. Wireless LAN Converter (Client) Station 3. Wireless LAN Converter (Base) Access Point 4. LTE Router (including SIM card) * Please prepare client devices (computer, smartphone, tablet) by yourself. * The router (SIM card) is a rental 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
Model number/Brand name
M2MSTREAM
Applications/Examples of results
■ It is possible to achieve labor savings by centrally managing the operation status of blowers in large-scale factories and logistics warehouses, and by implementing remote control and automatic control. ■ By limiting the number of access points (parent stations), it is possible to reduce the running costs associated with internet connectivity.
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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."