US 11,874,013 B1
AI-based total energy management system for high energy efficiency of logistics center
Jaeyoung Oh, Gwangmyeong-si (KR); Sanguk Suh, Seoul (KR); Minjung Joo, Seoul (KR); and Kyunghoon Jang, Gunpo-si (KR)
Assigned to KOREA CONFORMITY LABORATORIES, Seoul (KR)
Filed by Korea Conformity Laboratories, Seoul (KR)
Filed on Feb. 8, 2023, as Appl. No. 18/107,419.
Claims priority of application No. 10-2022-0134521 (KR), filed on Oct. 19, 2022.
Int. Cl. F24F 11/65 (2018.01); F24F 11/49 (2018.01)
CPC F24F 11/65 (2018.01) [F24F 11/49 (2018.01)] 4 Claims
OG exemplary drawing
 
1. A total energy management system for high energy efficiency of a cold chain logistics center, the system comprising:
an energy management system (EMS) server for collecting real-time data associated with the cold chain logistics center, wherein the EMS server processes the real-time data and generates at least one of real-time temperature data, real-time humidity data, renewable energy data, and electric power data of the cold chain logistics center; and
an artificial intelligence (AI) server for outputting temperature mapping data, defrosting time determination data, and an energy operation guide in the cold chain logistics center based on at least one of the real-time temperature data, the real-time humidity data, the renewable energy data, and the electric power data received from the EMS server,
wherein the EMS server switches between a plurality of management modes having different operating conditions for a heating, ventilation and air conditioning (HVAC) system, a lighting system, and a defrosting system of the cold chain logistics center based on the temperature mapping data, the defrosting time determination data, and the energy operation guide received from the AI server,
wherein the plurality of the management modes comprises:
a normal management mode configured to be applied to the cold chain logistics center in cases where a real-time data change of temperature-related data is less than a threshold, power consumption of the cold chain logistics center is less than or equal to a preset first trigger level, and no logistics volume change event is detected and no work schedule exists in the cold chain logistics center, wherein the temperature-related data comprise at least one of the temperature mapping data and the real-time temperature data,
a work management mode configured to be applied to the cold chain logistics center in cases where the real-time data change of the temperature-related data is greater than or equal to the threshold, or the power consumption of the cold chain logistics center is greater than or equal to the preset first trigger level and less than or equal to a second trigger level higher than the first trigger level, or the logistics volume change event is detected or the work schedule exists in the cold chain logistics center, and
a peak management mode configured to be applied to the cold chain logistics center in a case where the power consumption of the cold chain logistics center exceeds the second trigger level.