AI Intelligent Control Method for Energy Saving of HVAC Equipment in Smart Parks Based on Deep Learning
- Resource Type
- Conference
- Authors
- Lu, Peiping; Liu, Yuping; Zhou, Jinyan
- Source
- 2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST) Science and Technology Innovation (IAECST), 2022 4th International Academic Exchange Conference on. :1560-1564 Dec, 2022
- Subject
- Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Deep learning
Technological innovation
HVAC
Costs
Smart cities
Roads
Regulation
Equipment
AI intelligent control
Energy saving
Smart park
- Language
The existing control methods have the problem of high average energy cost when controlling HVAC equipment in innovative parks, which does not meet the energy-saving control requirements. Therefore, this paper introduces deep learning and researches the design of AI intelligent control methods for energy-saving HVAC equipment in smart parks. This paper takes energy saving of HVAC equipment as the target and establishes a control model for minimizing energy cost in the smart park; uses deep learning to complete the calculation of thermal comfort control algorithms in the park, and realizes AI computing intelligent control of HVAC equipment through AI computing. Comparative experiments prove that applying the new intelligent control method can effectively reduce the average energy cost and thus obtain the energy-saving control effect.