[Machine Maintenance IoT] Machine Condition Monitoring System
We will monitor the performance parameters of industrial machinery and enhance maintenance operations.
This is a SaaS platform for industrial machinery that realizes the visualization of the site and the smart maintenance. It automatically monitors key performance parameters in real-time and detects anomalies to reduce unplanned downtime. It supports predictive maintenance by detecting signs of equipment abnormalities and performing maintenance as needed. 【Main Features】 1. Real-time remote monitoring Important operational data and anomalies for each machine are monitored on the cloud 24/7. 2. Alert notifications and anomaly detection Anomalous signs are automatically assessed and immediately notified to the responsible personnel, supporting rapid initial response. 3. Predictive maintenance and trend analysis Based on accumulated data, it enables lifespan predictions and optimization of maintenance timing. 4. Workflow optimization Past trouble histories and work details are database-managed, allowing for efficient maintenance planning and progress management. 【Benefits】 ● Reduction in maintenance costs ● Improvement in machine operating rates ● Increased productivity through failure prevention ● Streamlining of maintenance work and standardization of work quality ● Advancing the maintenance and operation of industrial machinery to the next stage ▶ For more details, please download the PDF ◀
basic information
【Equipment Configuration】 1. Edge Server 2. Router 3. Sensor Controller 4. Various Sensors: Pressure / Flow / Vibration / Temperature / Current, etc. 5. Alarm Devices: Rotating Light, Stacked Indicator Light, Buzzer * Client devices (PC, smartphone, tablet) should be provided by the user. * The router (SIM card) is a loaned item. It must be returned after the contract ends.
Price information
We will provide individual estimates. If you would like customization tailored to the site, please consult with us.
Delivery Time
Model number/Brand name
M2MSTREAM
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 evaluation based on simple and precise diagnostics by experienced engineers (optional: vibration and noise diagnostic service).
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