Features of Development
1 Step-by-step use of new AI realizes explicit control rationale
By estimating the characteristics of the equipment’s operating environment, the new AI quickly identifies and quantifies physical parameters using simulation rather than taking measurements with numerous sensors. Past working data can be used to learn equipment sensor values and physical quantities in order to predict future changes in the operating environment.
Using predicted values and specified parameters, the simulation accurately predicts changes in the operating environment and then creates an optimal control plan in the scheduler.
By visualizing predicted values, work environment changes and a control plan, the new AI clarifies the control rationale to eliminate black boxes. By increasing the confidence level for equipment control and operational confirmation, the new AI technology will to enable AI-equipped infrastructure, air-conditioning equipment, etc., to be used confidently and allow managers to clarify the basis of their AI control, such as when responding to complaints.(BUSINESS WIRE) Mitsubishi Electric Corporation 6503 announced today that together with the Institute of Physical and Chemical Research it has developed an AI technology that clarifies the rationale underpinning each AI-based control system to enable such systems to be deployed in infrastructure and various equipment with confidence. Mitsubishi Electric will provide the new technology in its ® lineup. In factories that use FA equipment for agile manufacturing, such as computerized numerical controller (CNC) cutting machines and industrial robots, the movements, operating speeds, acceleration, etc. of the equipment vary during the operating processes. In conventional manufacturing, skilled workers must adjust the operating parameters according to various specifications, such as the required level of accuracy. Mitsubishi Electric has now developed an AI technology that simultaneously performs high-speed inferences and equipment control for real-time FA operation. Incorporating Mitsubishi Electric’s expertise as an FA equipment manufacturer, the new low-load AI control technology performs inferences while simultaneously controlling FA equipment. Although the technology minimizes its processing load, it is capable of achieving high-level inference accuracy while simultaneously guiding FA equipment control. Advanced Industrial Science and Technology announced today that they have developed an AI technology that predicts changes during automated manufacturing processes and then makes real-time adjustments in the factory-automation (FA) equipment, such as motion speeds, etc., during operation. In addition to eliminating the need for time-consuming manual adjustments, the AI estimates the confidence level of inferences regarding factors such as machining error and then controls the FA equipment based on suitable levels of confidence. The technology is expected to lead to more stable, reliable and productive operations, particularly in agile manufacturing. Fast: AI achieves high-speed inferences for dynamic control of FA equipment
In factories that use FA equipment for agile manufacturing, such as computerized numerical control CNC cutting machines and industrial robots, the movements, operating speeds, acceleration, etc. of the equipment vary during the operating processes. In conventional manufacturing, skilled workers must adjust the operating parameters according to various specifications, such as the required level of accuracy. Mitsubishi Electric has now developed an AI technology that simultaneously performs high-speed inferences and equipment control for real-time FA operation. Incorporating Mitsubishi Electric’s expertise as an FA equipment manufacturer, the new low-load AI control technology performs inferences while simultaneously controlling FA equipment. Although the technology minimizes its processing load, it is capable of achieving high-level inference accuracy while simultaneously guiding FA equipment.
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