Reform of corporate organization to promote transformation to smart
Digitization of information
On-site work efficiency
More sophisticated decision making
Business process transformation
Construction and sharing of databases
Information visualization and browsing
Utilization of knowledge database
From anomaly detection Prevention of accidents
O&M improvement by predictive detection
This service predicts time-dependent changes, such as the deterioration and service life of catalysts and solvents used in plants. Machine learning of daily operation data enables the establishment of a more highly precise prediction model, leading to efficient maintenance work (schedule planning, implementation, purchase of replacement parts). This also enables the identification of operational factors affecting time-dependent changes.
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Achievements and examples
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