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Daikin and Hitachi Collaborate on AI-Powered Fault Diagnosis

AI

 

Daikin and Hitachi have announced a collaborative trial to develop a generative AI agent aimed at enhancing equipment fault diagnosis in factory settings. The initiative is centered at Daikin’s Rinkai commercial air conditioner factory in Sakai, Osaka.​

Building upon their 2017 partnership, which utilized Hitachi’s Lumada IoT platform for skill transfer and process optimization, this new project seeks to integrate Daikin’s extensive operational expertise with Hitachi’s advanced IT capabilities.​

The AI agent is designed to assist maintenance engineers by providing rapid and accurate diagnostics. When a fault is detected in equipment such as pumps or valves, the engineer can use a tablet device to access the AI system, which then presents the probable cause and recommended countermeasures.​

To facilitate this, Daikin converts factory equipment drawings into a knowledge graph readable by the AI. The system is trained on this graph, along with maintenance records and other operational data, to achieve diagnostic capabilities comparable to experienced engineers.​

In preliminary tests, the AI agent demonstrated the ability to identify faults and suggest solutions within 10 seconds, achieving an accuracy rate exceeding 90%.​

The trial is expected to conclude by September, with plans to implement the AI diagnostic system across Daikin factories globally.​

This development underscores the potential of AI in streamlining maintenance processes and enhancing operational efficiency within the HVAC industry.​

 

This story and image were sourced from The Cooling Post News page and was edited prior to publication.
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