Title:
SYSTEM AND METHOD FOR OPTIMAL DESIGN OF COOLING AND HEATING SYSTEM BY USING BIG DATA AND AI
Document Type and Number:
WIPO Patent Application WO/2024/043747
Kind Code:
A1
Abstract:
In the present invention, a cooling and heating system can be optimally designed by outputting an optimized combination of cooling and heating equipment by using AI technology with respect to carbon emissions and energy usage on the basis of equipment information and architectural information. Furthermore, in the present invention, a deep learning algorithm using a neural network is performed to determine sensor values of energy usage and carbon emissions, training data is used to train the neural network, and the performance of the neural network is verified using test data, so as to improve the performance of analysis technology using big data and AI. Moreover, in the present invention, a user is notified of a prediction result for sampling data so that the user can respond to hardware failures, data errors, and data changes, so as to minimize system errors and maximize system performance.
Inventors:
PARK BONG-TAE (KR)
HWANG DONG-KON (KR)
JIN JEONG-TAK (KR)
HWANG DONG-KON (KR)
JIN JEONG-TAK (KR)
Application Number:
PCT/KR2023/012634
Publication Date:
February 29, 2024
Filing Date:
August 25, 2023
Export Citation:
Assignee:
WOOWON M&E CO LTD (KR)
International Classes:
G06F30/27; G06F30/18; G06N20/00; G06Q50/06; G06Q50/08; G06F119/08
Foreign References:
| KR102051600B1 | 2020-01-08 | |||
| KR20160056643A | 2016-05-20 | |||
| US20220198088A1 | 2022-06-23 | |||
| KR20160035808A | 2016-04-01 | |||
| KR20180013010A | 2018-02-07 |
Attorney, Agent or Firm:
KANG, Kyi-young et al. (KR)
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