Detecting signs of operational failure at biomass energy plants
Biomass power generation seeks to achieve high output with stable, efficient power generation regardless of fuel quality. Early detection of potential failures is important for stable operation, but to date this has relied on operators’ skill and experience.
The AI-based operation support system is able to extract, from a huge amount of operational data that humans cannot process unaided, information that could indicate imminent operational failures and reduced power generation efficiency.
The system analyzes data in real time and visualizes it as an “abnormality judgment score,” which reduces monitoring work and detects an abnormality in advance. We continue to collect more operational data and expand functions with the aim of superior plant operation with even greater stability and efficiency.
RELATE SOLUTION
Other cases
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Dam Optimal Operation System
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Utilization of 3D
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Optimizing plant operations using digital twin
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Development of a new expansion scaffold for boiler maintenance
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Development of construction robots for plant construction sites
JFE Engineering, Okaya & Co., Ltd., and AKTIO Corporation have jointly developed three models of construction robot for use on plant construction sites...
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