Improve the reliability of power equipment in data centers with LINDA!
In data centers, stable operation 24/7 is essential, and the reliability of power equipment is the most critical issue. The insulation deterioration of high-voltage cables can cause power outages and equipment failures, potentially having serious impacts on data center operations. LINDA measures the insulation condition of high-voltage cables while they are live, allowing for the early detection of signs of deterioration and preventing unexpected accidents. This supports the stable operation of data centers and ensures business continuity. 【Usage Scenarios】 - Power cables in data centers - High-voltage power receiving equipment - Regular maintenance of power equipment 【Benefits of Implementation】 - Reduced risk of power outages - Extended lifespan of equipment - Lower operational costs
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【Features】 - Portable type, allowing customers to choose the timing of diagnosis - Generates various reports (insulation resistance trend graphs, daily, weekly, monthly reports) - Capable of measuring up to 90 lines with a single LINDA measuring device - Can measure sheath insulation resistance down to 0.1 MΩ - Supports spot diagnosis (requires separate installation of measurement terminal board) 【Our Strengths】 Asahi Kasei Engineering Corporation provides consistent engineering services from design and construction to maintenance, offering total support for our customers' facilities. Through the development of diagnostic equipment utilizing digital technology, we contribute to the stable operation of our customers. LINDA is a jointly developed product with Midori Anzen and Fujikura Daiya Cable. It has a history of over 30 years since its launch and has numerous installation records for purposes including the extension of statutory inspection cycles.
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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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