Visualizing the condition of the guide! Linear motion component anomaly detection AI solution.
Visualizing the condition of linear motion components such as LM guides, ball screws, and actuators. Reducing equipment failure losses through AI diagnostics.
"OMNl edge" is a system that visualizes the condition of parts numerically by simply attaching sensors to them. It can be easily retrofitted to equipment that is already in operation. <This system solves the following problems> ■ Maintenance relies on the experience and intuition of skilled workers ■ Although implemented with TBM (Time-Based Maintenance), it tends to be over-maintained ■ Want to introduce IoT, but costs are too high ■ Sudden failures, etc. <Applicable parts and equipment> ◎ LM guides ◎ Ball screws ◎ Actuators ◎ Machine tools ◎ Injection molding machines ◎ Robot transport platforms ◎ Packaging machines ◎ Equipment operating in tough environments, etc. 【Features】 ■ By understanding the condition of linear motion components' damage and lubrication in numerical terms, decision-making is not dependent on individuals ■ Detects signs before failure. Prevents sudden breakdowns and reduces costs and labor hours ■ Notifies responsible personnel of abnormalities in parts via email ■ Achieves reduction in inventory management costs and improvement in equipment operating rates ■ Supports smooth execution of production plans ■ Comprehensive support for Before/After *For details, please refer to the catalog available for download in PDF format.
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【Other Features】 - Since the edge AI processes the data obtained from the sensors, no analysis time is required. - No selection time is needed as it uses dedicated sensors and dedicated amplifiers. - No analysis time is required as we have established the algorithms in-house. - Top-level safety in both communication and cloud aspects. - No need for integration with internal networks, making it suitable for a low-cost small start. *For more details, please refer to the PDF materials or feel free to contact us.*
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【To such customers】 ■ Maintenance relies on the experience and intuition of skilled workers... ■ Regular maintenance was conducted several times a year, regardless of damage or lubrication conditions... ■ Want to introduce IoT, but the costs are too high... *For more details, please refer to the PDF document or feel free to contact us.
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