Monitor the vibrations of mining machinery and reduce downtime.
In the mining industry, the stable operation of heavy machinery and plants affects production efficiency. Machine failures lead not only to losses from production stoppages but also to decreased safety. A machine vibration monitoring system provides real-time condition monitoring and anomaly detection to address these challenges. This helps reduce unplanned downtime and supports safe operations. 【Use Cases】 - Mining machinery (excavators, transport vehicles, etc.) - Concentration plants - Crushers 【Benefits of Implementation】 - Prevention of sudden machine failures - Cost reduction through planned maintenance - Improvement of production line operating rates
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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 notification: Automatically detects abnormal vibrations that exceed set thresholds. Notifies immediately in case of issues, supporting rapid response. - Historical data accumulation and analysis: Safely stores vibration data as history. Long-term analysis allows for understanding degradation trends and planning optimal maintenance. - 24-hour monitoring system: A reliable 24-hour monitoring system that ensures safety even in remote locations and at night. - Improvement of production line operating rates and stabilization of quality. 【Our Strengths】 We provide the IoT/AI platform 'M2MSTREAM' that contributes to the realization of highly automated, unmanned, and remote societies. It is an IoT/AI network infrastructure that seamlessly connects edge devices and the cloud, enabling high-speed automated processing through real-time data collection and analysis.
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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 major 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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