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The pump equipment safety pack is a solution package that detects "something different" using sensors and edge AI. It can be applied not only to pumps but also to all rotating machinery, such as motors. Necessary hardware, software, and communication lines are packaged together, and since it has been verified for connection, it can be used immediately without development. 【Features】 ■ Detects "something different" with edge AI and notifies maintenance personnel ■ Supports predictive maintenance and contributes to improved line operating rates ■ Automatically measures, records, detects, and visualizes using vibration, insulation resistance, and current sensors ■ Vibration monitoring ⇒ Effective for physical/mechanical failures ■ Insulation degradation monitoring ⇒ Effective for lifespan-related failures *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationA collection of numerous IoT implementation case studies related to the IoTization of on-site operations is available. We provide detailed introductions to each customer's challenges and their solutions. <Featured Cases> ■ Predictive maintenance through early detection of equipment failures in factories ■ Power usage control via a demand controller monitoring system ■ Remote monitoring of construction machinery operating status ■ Notification of maximum lifting weight for construction machinery ■ Remote monitoring of special vehicles *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration<Features> (1) Proven track record in overseas expansion (2) Robustness suitable for vehicle mounting (3) Capable of supporting edge AI (4) Allows for the development and embedding of Linux applications freely When expanding an IoT system built in Japan to overseas locations, preparing IoT gateways compliant with each country's radio laws can lead to significant labor and cost for software porting and testing. With "CONEXIOBlackBear," there is no need for the hassle of porting between country models! Additionally, it is equipped with shock and vibration resistance suitable for use in vehicles and construction sites, along with a rich variety of input and output interfaces, making it usable in tough environments. It also has computational power that can support AI and edge computing, allowing for application across a wide range of fields. <The case studies showcase examples like these!> - Predictive detection of equipment failures in factories - Power usage control through demand controller monitoring systems - Remote monitoring of heavy machinery operation status - Remote monitoring of special vehicles
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