YOUNG M. LEE, PH.D.

YOUNG M. LEE, PH.D.

YOUNG M. LEE, PH.D.

Director, Data Sciences & Product Development, Building Technologies & Solutions, Johnson Controls

ML/AI Analytics for Connected Equipment: An Example of Industrial IoT
With the advanced of IoT technology, more and more industrial equipment bare now connected with numerous sensors that collect the operational data in real time. Algorithms in Machine Leaning (ML), Deep Learning (DL) and Artificial Intelligence (AI) are becoming easily accessible to convert these data into business values and improvement of the quality of life. Johnson Controls is a global leader in buildings, energy and security market. We are shaping the future to create a world that’s safe, comfortable and sustainable. Our global team creates innovative, integrated solutions to make cities more connected, buildings more intelligent and environment safer. More and more our equipment that we sell and service around the world such as chillers, boilers, air handling unit, rooftop unit, refrigeration units, energy storage system and security systems, are being equipped with sensors and send real time data to the cloud, where ML/DL/AI tools analyze the data and make the operations safe and cost-effective. The IoT analytics we are developing include predictiveb asset management, operational optimization, risk analysis and energy optimization. This talk will describe Johnson Controls’ IoT analytics and how they are helping our clients reducing maintenance costs, reducing energy costs, improving the life of equipment, improving service level and improving security and comfort of occupants.