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  6. Nearline-PM for Food Factories

Nearline-PM for Food Factories

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Wireless Network Vibration Sensor System "Nearline-PM" [Enables proactive measures before failures by predicting equipment anomalies]

last updated:Mar 24, 2026

旭化成エンジニアリング
旭化成エンジニアリング
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Detecting abnormal sounds in food factories to identify equipment anomalies early.

In the food industry, unusual noises are an important sign indicating equipment abnormalities. Early detection of these noises and identifying their causes are essential to prevent risks such as product quality deterioration and manufacturing line stoppages. Nearline-PM is a predictive maintenance system designed to detect unusual noises in food factory equipment and to discover equipment abnormalities at an early stage. 【Usage Scenarios】 - Monitoring equipment prone to unusual noises, such as conveyors, pumps, and motors - Early detection of failure causes by identifying the source of unusual noises 【Benefits of Implementation】 - Reduced risk of production stoppages due to sudden equipment failures - Maintenance of product quality - Reduction in maintenance costs

    Vibration InspectionVibration MonitoringSafety Sensors
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Nearline-PM for Food Factories

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  • For details on the wireless network vibration sensor system "Nearline-PM," click here.
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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 of approximately 5 years. 【Our Strengths】 Asahi Kasei Engineering Corporation provides 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.

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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 marine. **Challenges and Background Before Implementation** We have implemented our solutions for customers facing the following issues due to sudden unexpected failures of rotating equipment (motors, pumps, fans, etc.), which can lead to manufacturing line stoppages and infrastructure service interruptions: - Difficulty in predicting unexpected failures - Dependence on specific individuals for maintenance tasks - Increased inspection workload - Difficulty in introducing wired sensors (installation, cost) - Significant impact from sudden equipment shutdowns **Implementation Effects** - Trend monitoring has made it possible to predict unexpected equipment failures. - Quantitative management through vibration data has standardized the judgment of equipment normality/abnormality. - As an automatic measurement system, it has reduced inspection workload and contributed to increased productivity. - Being compact and requiring no wiring, it 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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Wireless Network Vibration Sensor System “Nearline-PM” The Fusion of Vibration Diagnostic Expertise Backed by ISO-Certified Specialists and Wireless Monitoring

Wireless Network Vibration Sensor System “Nearline-PM” The Fusion of Vibration Diagnostic Expertise Backed by ISO-Certified Specialists and Wireless Monitoring

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Asahi Kasei Engineering Co., Ltd. Explosion-proof Area Wireless Solution

Asahi Kasei Engineering Co., Ltd. Explosion-proof Area Wireless Solution

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旭化成エンジニアリング

旭化成エンジニアリング

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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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