Fujitsu Develops of AI Technology at Design and Manufacturing Sites
MONOZUKURI AI Framework is an AI-usage platform that implements Fujitsu's AI technology, Human Centric AI Zinrai, and is made up of learning databases, AI processing engines, security authentication servers, and so forth. This platform is being offered based on the experience gained from using it as a smart manufacturing platform at Fujitsu's manufacturing locations.
The consulting service will support the implementation of AI technology in customer manufacturing locations by building a learning database for each of the variety of task processes and products in design and production locations, using the MONOZUKURI AI Framework to enable increased AI precision through continuous learning, and also by screening the collected data in response to the customer's needs and the characteristics of their products, tuning the data in order to improve prediction accuracy.
In this way, the service will contribute to the customer's manufacturing transformation, for example, by shortening design studies for printed circuit boards or enabling improved efficiency in setting up production lines, and by providing a system that continuously learns.
In order to make use of AI, it is necessary to extract knowledge and experience from the big data acquired from previous assets and locations, collect it in learning databases, and create a model with it. In manufacturing locations, however, there are all sorts of products and a variety of business processes, such as specification studies, design, validation, and manufacturing, and because standardized models which can provide the high-accuracy predictions and decision processing demanded for each of these cases do not exist, it is necessary to build appropriate models each time.
Fujitsu has developed the MONOZUKURI AI Framework, which can distinguish between and appropriately use learning models for each business process and product, and will offer it as part of a consulting service.
Builds learning databases for each usage context
Manufacturing involves all sorts of business processes, such as specification studies, design, validation, and manufacturing, for an array of different products. In order to provide highly accurate predictions and decision processing for each of these cases, different learning databases are built for each.
Improved prediction accuracy through generation-management functions
By undertaking generation management of the learning databases for each cycle of product design and production, the system optimizes itself through continued learning the more it is used, improving prediction accuracy. This means AI can be used even with new products under development, enabling stable operations.
Strong security functionality
The system protects its important learning databases through user authentication and communications encryption.
4. Easy to combine with existing systems
The system features a standardized set of web APIs, making it easy to link with customers' existing systems and programs. This makes it possible to use AI for prediction and data generation in customers' CAD platforms and production-line machines, for example.
Комментарии