Vaporizer No-Load Detection via Parameter Variance Analysis
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Solution Overview
Problem
Existing vaporizer technologies face challenges in accurately detecting no-load operations due to interference from bubble-generated vaporization parameter fluctuations, leading to unreliable detection and potential false recognition of no-load conditions.
Innovation Solution
A method and apparatus for no-load operation detection in vaporizers that calculate the variance of vaporization parameters in real-time, distinguishing between fluctuations caused by no-load operations and those caused by bubble generation, using a preset variance value set between bubble signal and no-load operation signal variances, allowing for precise determination of no-load conditions without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an electrode method is used to detect no-load operation, then the vaporizer can detect whether there is a lack of essence, but the detection accuracy is poor due to interference from bubble-generated vaporization parameter fluctuations
Solution Approach 1:
The patent changes the detection parameter from simple electrode electrical change to variance of vaporization parameters over time. By calculating the variance between real-time vaporization parameters and sample mean, the system can distinguish between normal vaporization fluctuations and no-load conditions, thereby improving both detection accuracy and reliability without additional hardware
Solution Approach 2:
The patent implements a feedback mechanism where the detected variance is compared against a preset threshold value. When the variance exceeds the threshold, the system determines no-load operation and can trigger protective actions. This closed-loop feedback approach enhances detection reliability by continuously monitoring and responding to vaporization parameter changes
2Measurement precision
If the preset variance value is set too low, then no-load operation can be detected sensitively, but false positives increase due to bubble-generated fluctuations
Solution Approach 1:
The patent optimizes the preset variance value parameter to balance sensitivity and reliability. Through experimental calibration, the system determines an appropriate threshold that distinguishes between bubble-induced fluctuations and genuine no-load conditions, achieving both sensitive detection and low false positive rate
Solution Approach 2:
The patent uses variance calculation over a period of time rather than instantaneous values. By analyzing multiple vaporization parameter samples and calculating their variance relative to the mean, the system accumulates sufficient information to make accurate determinations, reducing the impact of temporary bubble fluctuations while maintaining sensitivity to sustained no-load conditions
3Measurement precision
If additional detection hardware is introduced to improve detection accuracy, then measurement precision may improve, but device complexity increases
Solution Approach 1:
The patent enables the vaporizer to detect no-load operation using its existing vaporization parameters and control system. The same sensors and processors used for normal vaporization control are leveraged to calculate variance and detect no-load conditions, eliminating the need for separate detection hardware while maintaining high detection accuracy
Solution Approach 2:
The patent makes the existing vaporization parameter measurement system multi-functional. The same hardware that monitors vaporization parameters for normal operation is also used for no-load detection by analyzing the variance of these parameters. This universal approach improves detection accuracy without adding dedicated detection hardware, reducing overall device complexity
Data Source
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AI summary
A no-load operation detection method, applied to a vaporizer, includes: obtaining (S200) vaporization parameters of a vaporization piece in real time, and calculating a variance between the vaporization parameters and a sample mean, the sample mean being a value representing a vaporization parameter level of a stable vaporization stage of the vaporizer; and determining (S400) that the vaporization piece is operated without load if the variance is greater than a preset variance value corresponding to the vaporization parameter, the preset variance value being used for distinguishing a vaporization parameter fluctuation caused by vaporization operation without load and a vaporization parameter fluctuation caused by another operation other than vaporization without load.