Air-conditioning controller and air-conditioning system
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Solution Overview
Problem
Existing air-conditioning control technologies based on thermo-fluid dynamics are time-consuming and may cause discomfort during the transition from a suboptimal to an optimal solution, leading to delayed user comfort improvement.
Innovation Solution
An air-conditioning controller that constructs an indoor model using room shape and air state information, performs CFD simulation to derive optimal control parameters, and controls the air-conditioning apparatus to minimize deviations from user-defined comfort targets, thereby speeding up the transition to a comfortable environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If simulation based on thermo-fluid dynamics is conducted to obtain optimal control solution, then manufacturing precision of air conditioning control is improved, but loss of time increases due to the time-consuming nature of simulation
Solution Approach 1:
The system performs preliminary CFD simulation to construct an indoor model that represents the air-conditioned space characteristics. This pre-established model enables subsequent rapid optimization without requiring full simulation each time, thus reducing the time loss while maintaining control precision.
Solution Approach 2:
The patent creates a virtual copy of the air-conditioned space through CFD simulation results, forming an indoor model that replicates the thermal and fluid characteristics. This digital copy allows for rapid iterative optimization of control parameters without repeatedly executing time-consuming physical simulations.
2Manufacturing precision
If transition from suboptimal to optimal solution is conducted, then manufacturing precision of control is improved, but object-affected harmful factors increase due to user discomfort during transition period
Solution Approach 1:
The system preliminarily determines the optimal control solution through CFD-based indoor model construction before implementing the transition. By pre-calculating the optimal target state, the system can guide the transition process more smoothly, reducing abrupt changes that cause user discomfort.
Solution Approach 2:
The patent implements dynamic adjustment during the transition from suboptimal to optimal solution. The control parameters are adjusted progressively based on real-time feedback and the indoor model predictions, allowing smooth transition that maintains user comfort while achieving optimal control precision.
Data Source
AI summary
An air-conditioning controller that controls an air-conditioning apparatus includes an obtainer, an indoor model constructor, a coupled analysis unit, a control target determiner, and a commander. The obtainer obtains room shape information and air state information. The indoor model constructor constructs an indoor model used for CFD simulation, based on the room shape information and the air state information. The coupled analysis unit executes the CFD simulation based on the indoor model to derive a state quantity, to derive a deviation of the state quantity, and to integrate the deviations, thereby deriving an optimal solution of a control parameter of the air-conditioning apparatus such that an objective function including an integrated value obtained by integrating the deviations is minimized. The control target determiner determines a control target value based on the optimal solution. The commander controls the air-conditioning apparatus based on the control target value.