Machine Vibration Monitoring System for Steelmaking

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M2MSTREAM

last updated：Jan 05, 2026

Monitoring the vibrations of steelmaking equipment to support quality maintenance and stable operation.

In the steel industry, it is important to detect equipment abnormalities early and take appropriate measures to maintain the stability of the manufacturing process and the quality of the products. Particularly in equipment used in high-temperature environments or under heavy loads, deterioration due to vibrations and temperature changes significantly affects quality. A machine vibration monitoring system aims to address these challenges by monitoring equipment vibration data in real-time, detecting anomalies early, reducing unplanned downtime, and stabilizing product quality. 【Application Scenarios】 * Rolling mills * Sintering machines * Blast furnaces * Continuous casting equipment 【Benefits of Implementation】 * Early detection of equipment abnormalities to prevent sudden failures * Stabilization of product quality * Improvement of production efficiency

Special site - Product/service details - https://pr.mono.ipros.com/m2mstream/product/

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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. In the event of a problem, immediate notifications are sent to support rapid response. 3. Historical data accumulation and analysis: Vibration data is securely stored as history. Long-term analysis allows for understanding degradation trends and planning optimal maintenance strategies. 【Our Strengths】 We provide the IoT/AI network infrastructure "M2MSTREAM," which contributes to the realization of highly automated, unmanned, and remote societies. It seamlessly connects edge devices and the cloud, enabling fast automated processing through real-time data collection and analysis.

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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 assessment based on simple and precise diagnostics by experienced engineers (Optional: Vibration and Noise Diagnostic Service).