Kao receives the highest award for detecting signs of plant abnormalities using advanced AI

 Kao's efforts to analyze big data with advanced AI and build a system for automating plant operation monitoring and detecting signs of abnormalities have been highly evaluated, and the highest award "16th Responsible Care" was given by the Japan Chemical Industry Association. Received the Grand Prize.

This initiative is "equipped with an abnormality sign detection system that uses big data for the first time in a batch process instead of a continuous process, and may be linked to further expansion to other processes and recovery measures in the future." Incorporating anomaly sign detection using cutting-edge AI technology to pass on the technology and improve productivity ”was highly evaluated as a reference example for other companies.

Hiroaki Yamaguchi, the plant manager of the Kao Wakayama Plant, said, "It is necessary to respond to issues such as aging equipment, aging and shortage of human resources, technology transfer, and environmental changes. Our global mother plant. At the Wakayama Plant, we have introduced a mechanism for automation of operation monitoring and detection of abnormal signs using AI technology for ester equipment in the chemical business, which has many types and operation patterns and has a high monitoring load such as simultaneous monitoring of multiple processes. It has made it possible to detect signs of abnormalities with a high degree of reliability, and in addition to significantly reducing the work load, we have achieved improvements in productivity, handing down manufacturing technology and improving on-site capabilities, and eliminating personalization by standardizing monitoring work. "