Nearline-PM for Mining
Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failure by predicting equipment anomalies]
Optimize the operation of mining equipment with vibration sensors. No wiring required, easy to retrofit.
In the mining industry, the stable operation of equipment affects production efficiency. Particularly for critical equipment such as crushers and conveyors, it is important to detect abnormalities caused by vibrations early and to carry out planned maintenance. Sudden failures can lead to significant losses due to operational downtime. Nearline-PM addresses these challenges through vibration diagnostics of equipment using wireless vibration sensors. 【Usage Scenarios】 * Crushers * Conveyors * Pumps * Fans 【Benefits of Implementation】 * Early detection of equipment abnormalities and realization of planned maintenance * Prevention of sudden failures, reducing losses from operational downtime * Improvement of equipment operating rates and enhancement of production efficiency * Reduction of maintenance costs * On-site equipment condition monitoring and efficiency improvement
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**Features** * Utilizes battery-operated wireless sensors, eliminating the need for wiring work. * Allows for 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 small-scale starts. * Supports high frequencies (17kHz) to detect initial abnormalities in bearings. * Despite being a compact sensor, it has a long battery life design of approximately 5 years. * Enables easy operation and diagnostics through a dedicated app. * Technical support provided by our "Certified Vibration Diagnosis Specialists." * *ISO18436-2 compliant Mechanical Condition Monitoring Diagnostic Technicians (Vibration).* **Our Strengths** Asahi Kasei Engineering Corporation offers consistent engineering services from design and construction to maintenance. We conduct design, procurement, and construction (EPC) with maintenance in mind and propose appropriate maintenance based on design data. Additionally, we can propose information systems that consider not only maintenance but also production efficiency and reduction of production losses. In maintenance, we are developing diagnostic equipment for facilities utilizing digital technology.
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Applications/Examples of results
**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 rely on rotating equipment (motors, pumps, fans, etc.) to support their operations, face challenges such as sudden unexpected failures that can lead to manufacturing line stoppages and infrastructure service interruptions. - Difficulty in predicting unexpected failures - Dependence on specific personnel for maintenance tasks - Increased inspection workload - Difficulty in introducing wired sensors (installation, cost) - Significant impact from sudden equipment shutdowns **Implementation Effects** - Predicting unexpected equipment failures has become possible through trend monitoring. - Standardization of normal/abnormal equipment judgment has been achieved through quantitative management of vibration data. - The automated 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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Company information
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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