[Data Science Case] Optimizing Indoor Environment and Reducing Power Consumption with Air Conditioning Control AI

Challenges include creating a suitable indoor environment and energy conservation! A case study on the development of control AI that achieves temperature maintenance.

We will introduce a case study of optimizing indoor environments and reducing power consumption using air conditioning control AI in the manufacturing industry. In environments where temperature management is essential, such as food factories, the challenge was to automatically control air conditioning through autonomous learning by AI to achieve an appropriate indoor environment and energy savings. A policy was adopted to develop control AI in a short period by training an AI that simultaneously achieves room temperature maintenance and power consumption reduction through reinforcement learning in a simulation environment. By using a simulation environment, we successfully developed control AI 1000 times faster compared to real-world conditions. 【Case Overview】 ■Industry: Manufacturing ■Business: Operational Optimization ■Challenges: Operational Optimization, Autonomous Control, Cost Reduction ■Analytics and AI Solutions - Adopted a policy to develop control AI in a short period by transferring the trained AI to actual equipment. - Conducted AI development focusing solely on maintaining room temperature as a Proof of Concept (PoC). *For more details, please refer to the PDF document or feel free to contact us.

Automatic Control Equipment