Capture signs of anomalies in the manufacturing site with IoT and achieve continuous improvement.
In predictive maintenance for the manufacturing industry, it is important to detect equipment anomalies early and minimize downtime. Equipment failures can lead to decreased productivity and increased costs, making proactive measures essential. The IDIoT Kaizen Support Package utilizes IoT systems to visualize equipment operating conditions and capture signs of anomalies, enabling planned maintenance. 【Use Cases】 - Collecting data on equipment temperature, vibration, pressure, etc. - Detecting abnormal values and sending alert notifications - Identifying equipment with a high risk of failure 【Benefits of Implementation】 - Reduction of equipment downtime - Optimization of maintenance costs - Improvement in productivity
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**Features** - Data collection and visualization through IoT systems - Information management via problem recording and shared databases - Expertise based on development achievements with domestic and international automobile manufacturers - Information sharing through groupware - Consulting through IDIoT **Our Strengths** We provide ideal IoT systems to our customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Centered around the <3C> of "Connect, Collect, Coordinate," we visualize various data to achieve management, development, and research objectives.
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Our company provides ideal IoT systems for customers quickly and at a low cost. We eliminate all "preparatory work" (wasteful tasks) and create an environment that generates added value from visualized information. Focusing on the "3Cs" of Connect, Collect, and Coordinate, we visualize various data to achieve management, development, and research objectives.



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