Data processing method for dust sensor

Abstract

The present invention discloses a data processing method for a dust sensor. By using a detecting device equipped with an infrared dust sensor, in a detected sample, detected infrared signals are converted into electrical signals and then the electrical signals are input into a comparison circuit system together with a reference voltage Vref; the comparison circuit system performs random samplingon the electrical signals in X groups, wherein each group lasts Y seconds; the number of times of low pulses and the time of low levels are counted respectively, wherein both the number of times of low pulses and the time of low levels are stored in the comparison circuit system; and the comparison circuit system selects one signal in the number of times of low pulses, the time of low levels, orthe no-dust signals according to the logic operation. According to the technical scheme of the present invention, accurate display of the air quality value at a low concentration can be realized withhigh precision, and the numerical detection precision of the laser sensor can be basically achieved; and at the same time, by using the infrared sensor, the disadvantages of a high cost and a relatively poor lifetime of the laser sensor are avoided.

Description

technical field [0001] The invention relates to the field of household appliances, in particular to a data processing method for a dust sensor Background technique [0002] At present, the display of air quality in the purifier industry usually includes quality level display and numerical display, and gradually the proportion of numerical display is increasing. The commonly used dust sensors are infrared sensors and laser sensors. The advantages and disadvantages of the two are as follows: [0003] 1. The use of infrared dust sensors to detect air quality has the advantages of low cost and long life (more than 7 years). The disadvantage is that there is a problem of large data fluctuations when used for numerical display, and the air quality concentration is low (generally less than 150ug / m3 ), the displayed data deviation is large, and the response is relatively slow. [0004] 2. The use of laser sensors to detect air quality has the advantages of high precision and fast ...

AI Technical Summary

Problems solved by technology

[0006] However, due to the above-mentioned technical scheme, the parallelism of infrared rays is not high and the energy is not concentrated, so the accuracy and response speed are weaker than those of dust detectors.

But at the same time, the cost of the dust detector is higher than that of the infrared sensor, and the accuracy of the infrared sensor is worse than that of the dust sensor due to its own defects and the imprecise algorithm.

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