Near-Line PM for Disaster Prevention
We will detect bearing abnormalities early and ensure the safety of infrastructure facilities.
In the field of disaster prevention, the stable operation of infrastructure facilities is essential for protecting the safety of the public. In particular, failures of rotating machinery such as pumps and generators can reduce the ability to respond in emergencies. Nearline PM contributes to the stable operation of infrastructure facilities by enabling early detection of bearing abnormalities in these devices, allowing for proactive maintenance. 【Usage Scenarios】 - Pump equipment at fire stations - Emergency generators at disaster prevention centers - Air conditioning systems in public facilities 【Benefits of Implementation】 - Reduction of equipment downtime - Improvement of emergency response capabilities - Optimization of maintenance costs
basic information
【Features】 - Wireless vibration sensor that requires no wiring work - Automatic measurement once a day, enabling operation close to continuous monitoring - Can be retrofitted, making it ideal for small-scale starts - High frequency support (17kHz) to detect initial abnormalities in bearings - Long-life design with a battery life of approximately 5 years 【Our Strengths】 Asahi Kasei Engineering Corporation conducts design, procurement, and construction (EPC) with maintenance in mind, and proposes appropriate maintenance based on design data. We also develop equipment diagnostic tools utilizing digital technology.
Price information
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Model number/Brand name
Nearline PM
Applications/Examples of results
Rotating machines such as motors, fans, blowers, and pumps.
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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.