Self-cleaning detection method of range hood based on DC motor drive

Abstract

The invention relates to a self-cleaning detection method for a range hood driven by a DC motor. The self-cleaning detection method considers that there are often differences in the DC motors configured by each range hood after leaving the factory. The ex-factory current value of the test range hood is used for quotient processing, and then the obtained quotient value is multiplied by the ex-factory current value corresponding to the ex-factory range hood, so that each self-cleaning reminder current value obtained is automatically Adapt to the need to judge the cleaning treatment of the range hood after leaving the factory, so as to avoid the idealization and inaccurate detection problems caused by the traditional method of ideally setting the same threshold for the cleaning conditions of different range hoods. In this way, the self-cleaning reminder current value obtained for the range hood after leaving the factory is more targeted and personalized, effectively solving the problem of inaccurate self-cleaning reminder detection for range hoods due to different DC motors .

Description

technical field [0001] The invention relates to the field of range hoods, in particular to a self-cleaning detection method for range hoods driven by a DC motor. Background technique [0002] In the current field of kitchen equipment, range hoods have increasingly become indispensable equipment and are accepted by the majority of users. A range hood with a DC motor is a range hood that is popular with users. [0003] Due to the special working environment rich in soot in the kitchen where the range hood is located, a large amount of pollutants (mainly oil) will adhere to the range hood after running for a period of time, which seriously affects the working efficiency of the range hood. [0004] In order to timely judge when the range hood needs cleaning reminders, there are currently three main methods for judging range hood cleaning reminders: [0005] The first is to judge according to the running time of the fan in the range hood. When the running time of the fan is gre...

AI Technical Summary

Problems solved by technology

[0009] The first method is to judge according to the running time of the fan of the range hood, but it does not take into account the user's eating habits

For example, in the same running time of the fan, the amount of oil attached to the range hood used by the user who likes light food is often significantly less than the range hood used by the user who likes greasy food, resulting in the same In the case of the set time threshold, the range hoods used by users with different eating habits will remind users to clean them too early or too late, resulting in inaccurate reminders for range hood cleaning based on this method;

[0010] The second method is to use sensors to monitor the amount of oil attached to the range hood, but it is necessary to supply power to the sensor in real time to achieve the effect of real-time monitoring of the range hood, resulting in high hardware installation costs for this method, and also It consumes a lot of power due to continuous power supply to the sensor, which does not meet the development goal of green energy saving

[0011] The third method is to install an air volume sensor at the air outlet, which also faces the problems of high cost and high energy consumption

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