HVAC Adapter Data Filtering for AI Learning Traffic Reduction
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Solution Overview
Problem
The transmission of operation history data from air conditioners to server devices for AI learning generates significant communication traffic, and simply deleting data to reduce this traffic can compromise the learning accuracy of AI models.
Innovation Solution
An air conditioner adapter that acquires operation history data, determines the amount of change between continuous data points, and deletes data within a predetermined range, transmitting only the remaining data to the server, thereby reducing communication traffic while maintaining learning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all operation history data are transmitted to the server device, then learning accuracy of AI is maintained, but communication traffic becomes large
Solution Approach 1:
The patent extracts and transmits only the essential operation history data that is necessary for AI learning, rather than transmitting all data. This is achieved by selectively identifying and removing redundant data points, thereby reducing communication traffic while preserving the learning accuracy required for effective AI model training.
Solution Approach 2:
The patent changes the parameter of data transmission by applying compression and conversion to operation history data. The data server performs constant monitoring and accumulates detected data, then extracts, compresses, and converts minimum data needed for analysis, transforming the data into a more efficient format for transmission while maintaining its analytical value.
2Quantity of substance
If operation history data are deleted to reduce communication traffic, then communication traffic is reduced, but learning accuracy of AI is lowered
Solution Approach 1:
The patent performs preliminary processing of operation history data before transmission. The data server accumulates detected data through constant monitoring, then pre-processes the data by extracting and compressing only the minimum necessary information for analysis. This preliminary action ensures that only essential data is transmitted, avoiding the need to delete critical data while still reducing communication traffic.
3Quantity of substance
If operation history data are compressed and converted, then communication traffic is reduced, but data processing complexity increases
Solution Approach 1:
The patent introduces a data server as an intermediary between the air conditioner and the analysis device. The data server performs constant monitoring and accumulates detected data, then extracts, compresses, and converts minimum data needed for analysis. This intermediary handles the complex processing tasks, simplifying the overall system architecture while achieving efficient data transmission.
Data Source
AI summary
An air conditioner includes an adapter including a control unit that controls the air conditioner using a learning model and a communication unit that communicates with a server device that generates the learning model on the basis of operation history data of the air conditioner. The adapter includes an acquisition unit, a determination unit, an erasing unit, and a transmission unit. The acquisition unit acquires the data every predetermined cycle from the air conditioner. The determination unit determines whether or not an amount of change between temporally continuous data of the data acquired by the acquisition unit is within a predetermined range. The erasing unit leaves at least one of the continuous data and deletes the other data in a case where the amount of change between the continuous data is within the predetermined range. The transmission unit transmits the data after being deleted to the server device.