Nearline-PM for Infrastructure
Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failures by predicting equipment abnormalities]
No wiring work required, easy to install later. Constant monitoring of infrastructure equipment vibrations.
In the infrastructure industry, continuous monitoring is required to maintain the integrity of structures such as bridges and tunnels. In particular, vibrations are an important indicator of deterioration or abnormalities in structures. Nearline-PM enables quantitative and objective management of infrastructure equipment's vibrations through wireless vibration sensors, allowing for early detection of anomalies. It does not require wiring and is easy to retrofit, making it simple to implement in existing facilities. 【Usage Scenarios】 - Bridges - Tunnels - Plant equipment 【Benefits of Implementation】 - Early detection of equipment abnormalities, reducing repair costs - Enables planned maintenance, contributing to the longevity of equipment - Improves the efficiency of inspection work through remote monitoring
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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 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. **Our Strengths** Asahi Kasei Engineering Corporation provides comprehensive engineering services from design and construction to maintenance, fully supporting our customers' equipment management. We conduct design, procurement, and construction (EPC) with maintenance in mind, offering appropriate maintenance proposals based on design data. We also develop diagnostic equipment for facilities utilizing digital technology. Our company is characterized not only by our 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 decision-making. Our engineers hold vibration diagnosis qualifications compliant with ISO 18436. We hope to be a resource you remember when questions arise, such as, "How should I consider this case?" or "Is the current monitoring method sufficient?"
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【Implementation Results】 We have been implemented in over 300 facilities cumulatively, including those in the chemical, power, automotive, steel, semiconductor, paper, food, shipbuilding, and maritime industries. 【Challenges and Background Before Implementation】 We have been implemented by customers facing the following challenges due to sudden unexpected failures in rotating equipment (motors, pumps, fans, etc.), which support the field, leading to manufacturing line stoppages and infrastructure service interruptions. ■ Difficult to predict unexpected failures ■ Dependence on specific personnel for maintenance work ■ Increase in inspection labor hours ■ 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 judgment between normal/abnormal equipment has been achieved through quantitative management using vibration data ■ The automatic measurement system has reduced inspection labor hours, contributing to increased productivity ■ The small, wireless sensors allowed for a small-scale start in installation ■ Measurement in high-frequency bands has 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.
