Clothes dryer, method and device for calculating humidity value of clothes in clothes dryer
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Solution Overview
Problem
Current clothes dryers have unstable drying effects, often resulting in either over-drying or incomplete drying of clothes due to inaccurate humidity detection, which affects user satisfaction.
Innovation Solution
A method and device for calculating humidity in clothes dryers that involves acquiring and processing humidity sensor data to generate accurate humidity values by extracting maximum values, accumulating these values over time periods, and calculating an average to ensure comprehensive humidity consideration, preventing excessive or incomplete drying.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If humidity detection is performed using traditional air-temperature graph or humidity sensor, then the detection process is simple, but the drying effect becomes unstable resulting in over-drying or incomplete drying
Solution Approach 1:
The system performs preliminary actions by acquiring multiple sampling points over a first time period before making the final humidity determination. It extracts maximum values from these samples and accumulates them over a second time period to establish a baseline average, which is then used in conjunction with current maximum values to calculate the final humidity. This preliminary data collection and processing resolves the contradiction by providing more reliable humidity assessment without requiring complex additional hardware.
Solution Approach 2:
The system implements feedback by continuously monitoring humidity sensor data, comparing current maximum values against historical average values, and using this feedback loop to dynamically adjust drying decisions. The calculation of current humidity values based on both historical averages and real-time maximum values creates a feedback mechanism that improves drying stability and prevents both over-drying and incomplete drying.
2Measurement precision
If multiple sampling points are acquired and processed over time periods, then the humidity calculation accuracy is improved, but the calculation complexity increases
Solution Approach 1:
The system segments the humidity detection process into distinct time periods (first time period for initial sampling, second time period for average calculation, and current first time period for real-time measurement). This segmentation allows the complex task of accurate humidity measurement to be broken down into manageable stages, improving accuracy while keeping the calculation process organized and systematic rather than overwhelming.
Solution Approach 2:
The system performs preliminary calculations by pre-processing the humidity sensor data to extract maximum values and calculate average values over defined time periods before the final humidity determination is needed. This preliminary action reduces the complexity of the final calculation step, as the system only needs to combine pre-computed average values with current maximum values rather than processing all raw data at once.
Data Source
AI summary
A clothes dryer (100), a method and device (200) for calculating a humidity value of clothes in the clothes dryer. The method for calculating the humidity value includes: acquiring sampling points of a humidity sensor during a first time period; extracting a maximum value from the sampling points, and generating a maximum-value accumulated value; acquiring maximum-value accumulated values during a second time period, and generating an average value; acquiring a current maximum value during a current first time period; and generating a current humidity value.