SolutionsSolutions for IoT
Data Analysis of Installations or Workers
Example
Errors can be detected and their locations can be estimated without stopping the installation. This improves productivity and quality further as well as prevents failure in advance.
*1: When using the user's machine control programs together with the rotary machine vibration diagnosis programs, the scan time will be extended. As this affects the machine control, use multi-CPU configuration.
Product Lineup
Use Cases
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Data Collection/Analysis
Performing analysis and diagnosis with a PLC
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Data Collection/Analysis
Using AI to create learning models for quality improvement and predictive maintenance
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Data Collection/Analysis
Eliminating the performance gap between experts and inexperienced workers
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Data Collection/Analysis
Replacing tools of machine tools only when necessary
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Data Collection/Analysis
Conducting predictive maintenance on equipment by diagnosing vibration data
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Total Maintenance
Preventing defect outflow by understanding the tendency of molding defects
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Total Maintenance
Detecting machining defects and preventing the outflow of defective products
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Total Maintenance
Improving quality while reducing costs
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Total Maintenance
Understanding the signs of errors for equipment that use rotating mechanisms
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Total Maintenance
Performing maintenance work on cylinders at the right time
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Total Maintenance
Detecting drive component age-related deterioration (ball screws, belts, gears)
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Total Maintenance
Conducting maintenance before robots fail
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IoT Solutions for Machining Lines
Improving quality while reducing costs by utilizing AI in machining diagnosis
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IoT Solutions for Machining Lines
Utilizing the collected data to visualize the operation statuses and production results
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IoT Solutions for Machining Lines
Improving the machining accuracy of molds and prototype parts and shortening machining time
