Reduce production line downtime and improve operational efficiency.
In the automotive manufacturing industry, production line stoppages lead to significant losses. In particular, failures of key equipment such as press machines and welding robots can impact the entire production schedule, potentially resulting in delivery delays and loss of customer trust. A machine vibration monitoring system aims to address these challenges by early detection of equipment anomalies and preventing line stoppages before they occur. 【Usage Scenarios】 * Press machines * Welding robots * Conveyor systems * Painting lines 【Benefits of Implementation】 * Reduction in unexpected line stoppages * Cost optimization through planned maintenance * Improvement in production efficiency * Stabilization of quality
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basic information
**Features** * Real-time remote monitoring: Vibration data from machines is collected using dedicated sensors and sent to the cloud. Administrators can check the status anytime and anywhere using smart devices or PCs. * Anomaly detection and alert notifications: Automatically detects abnormal vibrations that exceed set thresholds. Immediate notifications are sent in case of issues, supporting rapid response. * Historical data accumulation and analysis: Vibration data is safely stored as history. Long-term analysis allows for understanding degradation trends and planning optimal maintenance strategies. * 24-hour monitoring system: A reliable 24-hour monitoring system ensures safety even in remote locations or at night. * Improvement of production line operational rates and stabilization of quality. **Our Strengths** We provide an IoT/AI network infrastructure "M2MSTREAM" that seamlessly integrates sensing technology, artificial intelligence (AI), communication technology, information technology, and application technology, which are essential for realizing highly automated, unmanned, and remote societies.
Price information
We will provide individual estimates. If you would like customization tailored to the site, please consult with us.
Delivery Time
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Applications/Examples of results
■ The effects of predictive maintenance include the reduction of maintenance costs, decrease in damage costs, avoidance of serious accidents, and assurance of quality. ■ It can be utilized as a solution to pass on the skills and experience of veteran technicians to the next generation in the field of equipment maintenance. ■ By combining multiple indicators that are correlated with failures, it is possible to develop more advanced maintenance solutions. ■ For important performance parameters such as vibration and noise, we provide support for measurement, analysis, countermeasures, and effectiveness evaluation based on simple and precise diagnostics by experienced engineers (optional: vibration and noise diagnostic service).
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Company information
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."
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