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[Case of Predictive Maintenance in the Factory] Processing Abnormality Detection Device Utilizing IoT

The introduction of the abnormal processing detection device has significantly reduced the frequency of cutting tool replacements. With easy implementation, tool costs have been reduced by 60% and defective work by 90%!

This is an introduction to cases where the effectiveness has been confirmed through the introduction of our developed "Processing Abnormality Detection Device." 【Number of defective works per machine】 ■ From 200 units/month to 20 units/month → 90% improvement in quality and productivity! 【Annual tool expenses】 ■ From 100 million yen to 33 million yen → 60% cost reduction! We contribute to increasing production on the manufacturing floor with a smart factory utilizing IoT. Check out the three features: "low cost," "small start," and "quick results"! *For product details, improvement cases, and mechanisms, please view the PDF available for download or feel free to contact us.

企業：竹中電機
価格：100,000 yen-500,000 yen

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Introducing the installation procedure for the abnormal processing detection device in a video!

Visualization of processing load status for quality improvement and tool cost reduction.

We are introducing a video that outlines the flow from wiring to data collection for the "Processing Abnormality Detection Device CIU." It concisely summarizes the necessary signals, data collection methods, and data verification processes. This content is useful not only for those considering implementation but also for those who have already purchased the device. We encourage you to watch it. By implementing the CIU in machine tools such as machining centers, you can visualize the conditions during processing loads in waveform, allowing for the detection of tool wear and breakage, and determining the appropriate timing for tool replacement. *For more details about the product, improvement cases, and mechanisms, please view the PDF available for download or feel free to contact us. *Demo units are available for loan! Please consult us through the contact form on our website.

企業：竹中電機
価格：100,000 yen-500,000 yen

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To solve challenges in the manufacturing site! Insulation resistance monitoring device / processing anomaly detection device

<Exhibition at MECT2023> Introducing our self-developed product that "detects processing defects in workpieces and tool wear," "prevents equipment downtime and reduces inspection costs"!

At our company, Takenaka Electric Co., Ltd., we provide insulation resistance monitoring devices 'IRS Series' and machining anomaly detection devices 'CIU-16-S' to solve quality control and preventive maintenance challenges in manufacturing sites. The 'IRS Series' monitors insulation resistance with the same accuracy as conventional megohm testers. It achieves cost reduction in inspections and prevents equipment downtime and accidents due to insulation failures. The 'CIU-16-S' visualizes the load conditions during processing through waveforms, enabling automatic detection of anomalies such as tool chipping and breakage. 【Features of Insulation Resistance Device: IRS Series】 ■ Automates insulation resistance monitoring, reducing inspection costs ■ Prevents unexpected equipment downtime and accidents 【Features of Machining Anomaly Detection Device: CIU-16-S】 ■ Detects anomalies during processing from changes in load current ■ Automates the detection of tool chipping, workpiece breakage, and lifespan issues ~ MECT2023 Exhibition Information ~ ■ Period: October 18, 2023 - October 21, 2023 ■ Venue: Port Messe Nagoya ■ Booth Number: 3D68 *For more details, please refer to the materials. Feel free to contact us with any inquiries.

企業：竹中電機
価格：100,000 yen-500,000 yen

Monitoring and Control Equipment

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[Case of Predictive Maintenance in the Factory] Processing Abnormality Detection Device Utilizing IoT

Introducing the installation procedure for the abnormal processing detection device in a video!

To solve challenges in the manufacturing site! Insulation resistance monitoring device / processing anomaly detection device

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