Nearline-PM for Railways: Streamlining Track Monitoring
Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failures by predicting equipment anomalies]
Early detection of track anomalies with wireless vibration sensors. Reducing maintenance costs.
In the railway industry, it is crucial to constantly monitor the condition of the tracks to ensure the safe operation of trains. In particular, rail distortions and abnormalities at joints can lead to derailment accidents, necessitating early detection and appropriate responses. Nearline-PM enables the early detection of track anomalies through vibration diagnostics using wireless vibration sensors, allowing for planned maintenance. This contributes to improved safety and reduced maintenance costs. 【Usage Scenarios】 - Monitoring rail vibrations - Detecting abnormalities at track joints - Monitoring the operation of switches 【Benefits of Implementation】 - Reduced derailment risk - Optimization of maintenance cycles - Enhanced operational safety
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【Features】 - Utilizes battery-operated wireless sensors, eliminating the need for wiring work. - Enables near-continuous monitoring with automatic measurements once a day as standard. *Measurement frequency can be set as desired. - Can be retrofitted, making it suitable for a small start. - Supports high frequencies (17kHz) to detect initial abnormalities in bearings. - Despite being a compact sensor, it is designed for a long battery life of approximately 5 years. 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering services from design and construction to maintenance, offering optimal solutions tailored to customer needs. Through the development of diagnostic equipment utilizing digital technology, we support the safe operation of railway infrastructure. Our company is characterized not only by the introduction of vibration sensors but also by the support provided by engineers who have been directly involved in vibration diagnostics, taking into account how equipment is used and points that may cause confusion in judgment. In recent years, in addition to factory equipment, we have also started vibration monitoring and diagnostic services for ships, with engineers holding ISO 18436-compliant vibration diagnostic qualifications. We hope to become a presence that you can remember when questions arise, such as, "How should I consider this case?"
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**[Implementation Results]** We have implemented our solutions in over 300 facilities across various industries, including chemicals, power, automotive, steel, semiconductors, paper, food, shipbuilding, and maritime. **[Challenges and Background Before Implementation]** Our customers, who support the field with rotating equipment (motors, pumps, fans, etc.), face challenges such as sudden unexpected failures that lead to manufacturing line stoppages and infrastructure service interruptions. - Difficulty in predicting unexpected failures - Dependence on specific personnel for maintenance tasks - Increase in inspection workload - Difficulty in introducing wired sensors (installation, cost) - Significant impact from sudden equipment shutdowns **[Implementation Effects]** - Trend monitoring has enabled the prediction of unexpected equipment failures. - Quantitative management through vibration data has standardized the judgment of equipment normalcy/abnormality. - The automatic measurement system has reduced inspection workload, contributing to increased productivity. - The small, wireless sensors allowed for a small-scale start in installation. - High-frequency measurements have enabled the detection of initial abnormalities in bearings, allowing for planned maintenance responses. *For more details, please download the PDF document or feel free to contact us.*
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Asahi Kasei Engineering Corporation is a company that conducts design, procurement, and construction (EPC) with an eye toward maintenance, and also proposes appropriate maintenance based on design data. In addition to maintenance, it is also possible to propose information systems that consider production efficiency and production losses. In terms of maintenance, we are developing equipment diagnostic devices that utilize digital technology.
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