[Data Science Utilization Case] Automatic Control of Heavy Machinery Using Reinforcement Learning AI

Indicating the technical possibilities for achieving business efficiency! A case study of developed control AI.

We will introduce a case study of automatic control of heavy machinery using reinforcement learning-based AI. In heavy machinery operations, there was a challenge of unstable quality among technicians due to a lack of technical inheritance caused by a declining workforce. Additionally, there were significant hurdles in collecting data for heavy machinery operations, necessitating the establishment of a safe method for data collection. To address this, we constructed a simulator that reproduces certain operations of heavy machinery using sensor data installed on the machinery, employing machine learning techniques. We developed a control AI through reinforcement learning within that simulator environment. As a result, we were able to gain insights into the technical possibilities for improving operational efficiency. 【Case Overview】 ■Industry: Construction ■Business: Construction Work ■Challenge: Labor Reduction ■Analytics & AI Solution - Simulator Development We built a simulator that reproduces certain operations of heavy machinery using sensor data installed on the machinery. The behavior of the sensor data in response to control signals for the actual machinery was learned. - Control AI Development The AI was trained to minimize the error between the simulator's operation and target values in response to control signals. *For more details, please refer to the PDF document or feel free to contact us.

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