Monitor the vibrations of plant equipment to contribute to stabilizing operations and reducing maintenance costs.
In the oil plant industry, stable operation of equipment is essential, and unexpected shutdowns can lead to significant losses. In particular, abnormal vibrations in rotating machinery are a major cause of early deterioration and failure of equipment. Our machinery vibration monitoring system monitors the vibrations of plant equipment in real-time, allowing for early detection of anomalies, thereby reducing unplanned downtime and contributing to improved operational efficiency. 【Usage Scenarios】 - Oil refining plants - Chemical plants - Crude oil drilling rigs - Rotating machinery such as pumps, compressors, and turbines 【Benefits of Implementation】 - Prevention of sudden machinery failures - Cost reduction through planned maintenance - Prolonged equipment lifespan - Enhanced safety through 24-hour 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 notification: 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 securely stored as history. Long-term analysis allows for understanding deterioration trends and planning optimal maintenance strategies. 4. Surface temperature monitoring: Temperature monitoring is also possible using surface temperature sensors. 5. Alarm system: In case of abnormalities, notifications are sent to the site using stacked display lights and rotating lights. **Our Strengths** We provide the IoT/AI network infrastructure "M2MSTREAM," which is essential for realizing highly automated, unmanned, and remote societies. This IoT/AI network infrastructure seamlessly connects edge devices and the cloud, enabling high-speed 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
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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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