Method and system of controlling operation state of multi-split air conditioner, and heat pump multi-split air conditioner
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Solution Overview
Problem
Current multi-split air conditioner control methods lack freedom and democracy in operation mode selection, often leading to user complaints in public places like office buildings, as they do not accurately reflect the actual usage demands of all users.
Innovation Solution
A method and system that determine the target operation mode of each indoor unit based on user settings, perform statistics on heat exchange demands to identify a dominant mode, and use this dominant mode as the outdoor unit's operation mode, with conflict resolution rules to ensure consistency or transition to a low-energy heat exchange mode when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the operation mode of the outdoor unit is determined by a main indoor unit mode, then the control method is simple, but it lacks freedom and democracy and causes user complaints in public places
Solution Approach 1:
The system collects operation mode selections from all indoor units, performs statistics on heat exchange demands, and uses this feedback to determine the outdoor unit's operation mode. This ensures the control method reflects actual usage demands of all users while maintaining simplicity through automated statistical processing.
Solution Approach 2:
The system changes the parameter of operation mode determination from a single main indoor unit to a statistical aggregation of all indoor units' heat exchange demands. This allows the outdoor unit to operate in a mode that satisfies the majority of users while maintaining system simplicity.
2Reliability
If a preset preferential operation mode is used, then mode conflict and erroneous operation are avoided, but it does not reflect the actual use demands of all users
Solution Approach 1:
The system changes the operation mode determination from a fixed preset preferential mode to a dynamic statistical determination based on actual heat exchange demands of all indoor units. This ensures both operational reliability and adaptability to actual user needs.
Solution Approach 2:
The outdoor unit's operation mode is dynamically determined based on real-time statistical data from all indoor units rather than using a static preset mode. This dynamic approach ensures the system adapts to actual usage demands while maintaining stability through automated decision-making.
3Adaptability or versatility
If indoor units operate in conflict modes with the outdoor unit, then individual user demands are met, but system reliability decreases due to mode conflicts
Solution Approach 1:
The system performs preliminary statistical analysis of heat exchange demands from all indoor units before determining the outdoor unit's operation mode. This preliminary action prevents mode conflicts by ensuring the outdoor unit operates in a mode that is consistent with the majority of indoor units' demands.
Solution Approach 2:
The system changes the operation mode parameter of the outdoor unit to match the dominant mode among indoor units based on heat exchange demand statistics. This parameter alignment ensures system reliability while allowing individual indoor units to maintain their selected modes.
Data Source
AI summary
The present disclosure relates to a method of controlling operation state of multi-split air conditioner and system, and a heat pump multi-split. The control method includes: determining a target operation mode of each indoor unit according to an operation mode set by a user for the indoor unit; performing statistics on heat exchange demands of the indoor units corresponding to different target operation modes, and determining a dominant operation mode among the target operation modes according to the heat exchange demands; and using the dominant operation mode as the operation mode of an outdoor unit.