Nearline-PM for Food Factories
Wireless Network Vibration Sensor System "NearLine-PM" [Enables proactive measures before failures by predicting equipment anomalies]
Support for quality control in food factories. Early detection of equipment anomalies with vibration sensors.
In the food industry, stable operation of manufacturing equipment is crucial for quality control. Contamination and production line stoppages can lead to a decline in product quality and production losses. Nearline-PM enables early detection of abnormalities in equipment such as motors and pumps through vibration diagnostics, allowing for planned maintenance. This reduces the risk of production stoppages due to sudden equipment failures and contributes to maintaining product quality. 【Usage Scenarios】 - Monitoring of motors, pumps, compressors, etc., on food production lines - Equipment condition management to reduce the risk of contamination - Predictive maintenance of equipment in the quality control department 【Benefits of Implementation】 - Prevents unexpected equipment failures, improving production efficiency - Maintains product quality and earns customer trust - Reduces costs through planned maintenance
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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 of approximately 5 years. - Enables easy operation and diagnostics through a dedicated app. - Technical support provided by our "Certified Vibration Diagnostic Professionals*" *ISO 18436-2 compliant, Machinery 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 not only focus on maintenance but also consider production efficiency and production loss. In maintenance, we are developing diagnostic equipment for facilities utilizing digital technology.
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【Implementation Results】 We have implemented our solutions in over 300 locations across various industries, including chemicals, power, automotive, steel, semiconductors, paper, food, shipbuilding, and marine vessels. 【Challenges and Background Before Implementation】 We have implemented our solutions for customers facing the following challenges due to sudden unexpected failures of rotating equipment (motors, pumps, fans, etc.), which support the field: - 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】 - Predicting unexpected equipment failures has become possible through trend monitoring - Standardization of normal/abnormal judgment of equipment has been achieved through quantitative management using vibration data - The automatic measurement system has reduced inspection workload, contributing to increased productivity - The small, wireless sensors allowed for a small-scale start in installation - Measurement in high-frequency ranges 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.
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