Monitor the vibrations of industrial machinery to reduce unplanned downtime.
In the manufacturing industry, the stable operation of equipment affects production efficiency. Unexpected machine failures can lead to production line stoppages, resulting in significant losses. It is important to detect abnormalities caused by vibrations early and to carry out planned maintenance to minimize downtime. Our machine vibration monitoring system monitors vibration data from industrial machinery in real-time and detects abnormalities to prevent equipment failures before they occur. 【Use Cases】 - Abnormality detection of machine tools and conveyor equipment on the production line - Monitoring of plant equipment operating 24 hours a day - Understanding the status of equipment located in remote areas 【Benefits of Implementation】 - Reducing the risk of production stoppages due to sudden machine failures - Cost reduction through planned maintenance - Extending the lifespan of equipment - Labor savings through remote monitoring
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basic information
【Features】 - Real-time remote monitoring: Check the machine's status anytime, anywhere on the cloud. - Anomaly detection and alert notification: Automatically detect abnormal vibrations exceeding set thresholds and notify immediately. - Historical data accumulation and analysis: Understand degradation trends through long-term data analysis. - 24-hour monitoring system: Peace of mind even in remote locations or at night. - Improvement of production line operating rates and stabilization of quality. 【Our Strengths】 We provide AI autonomous control solutions at the forefront of the field to realize a highly automated society. Through the development and operation of the IoT/AI network infrastructure "M2MSTREAM," we support the construction of optimal systems tailored to our customers' needs.
Price information
We will provide individual estimates. If you would like customization tailored to the site, please consult with us.
Delivery Time
※Please contact us.
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 assessment 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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