Method for controlling air conditioner by recognizing zone on basis of artificial intelligence, server and air conditioner
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Solution Overview
Problem
Conventional air conditioners lack the ability to accurately recognize human presence and activity zones, leading to inefficient cooling or heating as they often rely on inaccurate sensing, resulting in suboptimal energy usage and comfort levels.
Innovation Solution
An air conditioner system equipped with a vision module that captures images to generate human body sensing data, a controller to classify the space into blowing zones, and a communication unit to transmit data to a server for accurate zone determination and operation control, optimizing air distribution based on recognized zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sensing methods are used to detect human presence, then the air conditioner can operate with simple sensing, but the sensing accuracy is insufficient leading to inefficient cooling or heating
Solution Approach 1:
The patent introduces a server as an intermediary between multiple air conditioners and the central control system. The server accumulates human body sensing data from multiple air conditioners, performs comprehensive space classification, and provides accurate zone information back to the air conditioners. This intermediary approach enables high measurement precision through data aggregation while maintaining individual air conditioner simplicity.
Solution Approach 2:
The patent merges sensing data from multiple air conditioners covering different spatial regions into a unified space classification model on the server. By combining detection results from multiple devices, the system achieves comprehensive and accurate zone recognition that improves both measurement precision and overall cooling/heating efficiency.
2Reliability
If multiple air conditioners transmit data frequently to the server, then the server can maintain up-to-date space classification, but the communication load increases
Solution Approach 1:
The patent implements periodic data transmission where air conditioners send sensing data to the server at predetermined intervals rather than continuously. The communication unit transmits accumulated human body sensing data periodically, which maintains reliable space classification while significantly reducing communication frequency and associated energy consumption.
Solution Approach 2:
The air conditioners accumulate sensing data locally before transmission to the server. By preparing data in advance and transmitting batches rather than real-time continuous streams, the system maintains data freshness for reliable classification while minimizing communication overhead and energy usage.
Data Source
AI summary
An air conditioner is controlled according to one or more zones determined by artificial intelligence. The air conditioner includes a controller for generating first space classification data for dividing a space into two or more blowing zones based on human body sensing data generated by a vision module and an image, and a communication unit for transmitting the human body sensing data to a server and receiving second space classification data from the server. The controller is configured to control operation of the air conditioner based on comparing the first space classification data to the second space classification data and dividing the space into a concentrated blowing zone and a non-concentrated blowing zone.