A vibration monitoring platform that supports the stable operation of power equipment.
In the power industry, early detection of abnormalities in critical equipment such as generators and transformers, along with planned maintenance, is essential for stable supply. Equipment failures can lead to widespread power outages and have serious impacts on social infrastructure. Our machine vibration monitoring system monitors equipment vibration data in real-time and detects anomalies, thereby reducing unplanned downtime and contributing to stable supply. 【Usage Scenarios】 - Power plants - Substations - Transmission equipment - Rotating machines such as pumps, fans, and compressors 【Benefits of Implementation】 - Reduced risk of power outages due to sudden equipment failures - Cost savings through planned maintenance - Extended equipment lifespan - Peace of mind provided by 24/7 remote monitoring
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basic information
**Features** 1. 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. 2. Anomaly detection and alert notifications: Automatically detects abnormal vibrations that exceed set thresholds. Immediate notifications are sent in case of issues, supporting rapid response. 3. Historical data accumulation and analysis: Vibration data is safely stored as history. Long-term analysis allows for understanding degradation trends and planning optimal maintenance. 4. Temperature monitoring using surface temperature sensors. 5. Visualization of anomalies through alarm devices. **Our Strengths** We develop and operate the IoT/AI platform 'M2MSTREAM,' contributing to the realization of highly automated, unmanned, and remote societies. We provide an IoT/AI network infrastructure that seamlessly connects edge devices and the cloud, enabling fast automated processing through real-time data collection and analysis.
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 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 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."
