Control method based on multi-parameter cooperation and air blowing equipment

Abstract

The invention discloses a control method and blowing equipment based on multi-parameter collaboration, and the method comprises the steps: obtaining an electrical impedance parameter and environment humidity of target hair, and constructing a hair quality feature matrix based on the electrical impedance parameter and the environment humidity; performing weighted calculation on the hair quality characteristic matrix to obtain a hair quality score of the target hair; and adjusting working parameters of the air blowing equipment based on the electrical impedance parameter and the environment humidity, and adjusting a working mode of the air blowing equipment based on the hair quality score. The hair dryer not only can meet the requirements of users for different wind speeds and temperatures, but also can avoid damage to hair.

Description

Technical Field

[0001] The present invention relates to the technical field of hair dryers, and in particular to a control method and hair drying equipment based on multi-parameter collaboration. Background Art

[0002] A hair dryer is a household appliance that uses a motor-driven fan to generate high-speed airflow, which in turn uses a heating element to output hot air, accelerating moisture evaporation from the hair surface and shortening drying time. Currently, commonly used hair dryers are typically manually adjustable, with separate speed and temperature settings. Users must manually select these settings. However, current hair dryers have a wide range of speed settings, making it difficult for users to select the speed and temperature that suits their needs. Furthermore, excessively high temperatures and fast speeds can damage hair. Summary of the Invention

[0003] The embodiments of the present invention provide a control method and a hair dryer based on multi-parameter collaboration, aiming to solve the problem that current hair dryers can only select fixed gears and cannot meet user needs.

[0004] In a first aspect, an embodiment of the present invention provides a control method based on multi-parameter collaboration, the method comprising:

[0005] Acquiring electrical impedance parameters and ambient humidity of the target hair, and constructing a hair quality feature matrix based on the electrical impedance parameters and the ambient humidity;

[0006] Performing weighted calculation on the hair quality feature matrix to obtain a hair quality score of the target hair;

[0007] The operating parameters of the hair-drying device are adjusted based on the electrical impedance parameter and the ambient humidity, and the operating mode of the hair-drying device is adjusted based on the hair quality score.

[0008] In a second aspect, an embodiment of the present invention further provides a blowing device, wherein the blowing device is configured with any of the above-mentioned control methods based on multi-parameter collaboration.

[0009] An embodiment of the present invention provides a control method and hair-drying device based on multi-parameter collaboration. The method includes: obtaining the electrical impedance parameters and ambient humidity of the target hair, and constructing a hair quality characteristic matrix based on the electrical impedance parameters and the ambient humidity; performing weighted calculation on the hair quality characteristic matrix to obtain the hair quality score of the target hair; adjusting the operating parameters of the hair-drying device based on the electrical impedance parameters and the ambient humidity, and adjusting the operating mode of the hair-drying device based on the hair quality score. The embodiment of the present invention can obtain the electrical impedance parameters and ambient humidity of the target hair, and then construct a hair quality characteristic matrix. On the one hand, the hair quality score is calculated based on the hair quality characteristic matrix, and the operating mode is confirmed based on the hair quality score. On the other hand, the operating parameters are confirmed based on the electrical impedance parameters and the ambient humidity. This allows for adaptive adjustment of the hair-drying device to meet user needs and avoid damage to the hair. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 1 is a flow chart of a control method based on multi-parameter collaboration provided by an embodiment of the present invention;

[0012] Figure 2 This is a schematic diagram of a first sub-process of a control method based on multi-parameter collaboration provided by an embodiment of the present invention;

[0013] Figure 3 This is a schematic diagram of a second sub-process of the control method based on multi-parameter collaboration provided by an embodiment of the present invention;

[0014] Figure 4 3 is a schematic diagram of a third sub-process of a control method based on multi-parameter collaboration provided by an embodiment of the present invention;

[0015] Figure 5 4 is a schematic diagram of a fourth sub-process of a control method based on multi-parameter collaboration provided by an embodiment of the present invention;

[0016] Figure 6 This is a schematic diagram of the fifth sub-process of the control method based on multi-parameter collaboration provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0018] It will be understood that when used in this specification and the appended claims, the terms “include” and “comprising” indicate the presence of described features, integers, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, operations, elements, components and / or groups thereof.

[0019] It should also be understood that the terminology used in this specification is for the purpose of describing specific embodiments only and is not intended to limit the present invention. As used in the specification and appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should further be understood that the term "and / or" as used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, including and including these combinations.

[0020] See also Figure 1 , Figure 1 This is a flow chart of a control method based on multi-parameter coordination provided by an embodiment of the present invention. The control method based on multi-parameter coordination provided by an embodiment of the present invention can be applied to a hair dryer to automatically adjust the working parameters and working mode of the hair dryer to avoid heat damage to the hair. Figure 1 As shown, the method includes steps S100 to S120.

[0021] S100, obtaining electrical impedance parameters of target hair and ambient humidity, and constructing a hair quality feature matrix based on the electrical impedance parameters and the ambient humidity.

[0022] In an embodiment of the present invention, the hair dryer can be a hair dryer, which is equipped with a data acquisition layer, an intelligent decision-making layer, and an execution control layer. The data acquisition layer can be equipped with various sensors, such as a humidity sensor for real-time monitoring of ambient humidity and an electrical impedance sensor for detecting the moisture content and conductivity of hair. In addition, users can also enter hair type and historical usage data through the app integrated with the hair dryer.

[0023] The intelligent decision-making layer is used to construct a hair quality feature matrix based on the collected parameters and calculate the hair quality score of the hair, as well as calculate the working parameters such as wind speed and temperature of the hair dryer based on the collected parameters, and then confirm the working mode of the hair dryer according to the hair quality score.

[0024] The execution control layer is used to perform real-time control of the blower based on the calculated data. For example, it adjusts the current wind speed and temperature of the blower based on the calculated wind speed and temperature to ensure that the current wind speed and temperature of the blower are consistent with the calculated wind speed and temperature. During adjustment, the temperature of the blower can be adjusted through PWM modulation, and the wind speed of the blower can be adjusted through the PID algorithm to improve the accuracy of temperature control and reduce fluctuations during speed regulation.

[0025] The parameters collected by the hair-drying device are mainly electrical impedance parameters and ambient humidity. The electrical impedance parameters may include basic impedance ratio, high-frequency capacitive attenuation value and dynamic water loss rate. After obtaining the electrical impedance parameters and ambient humidity, a hair quality characteristic matrix can be constructed based on the electrical impedance parameters and ambient humidity. The hair quality characteristic matrix is ​​used to evaluate the hair quality of the target hair, among which the basic impedance ratio is used to evaluate the degree of damage to the cuticle of the target hair. The larger the ratio, the more severe the cuticle damage. The high-frequency capacitive attenuation value is used to evaluate the degree of opening and closing of the hair scales of the target hair. The dynamic water loss rate is used to evaluate the water-locking ability of the target hair. The larger the value, the worse the water-locking ability. The ambient humidity is used to evaluate the relative humidity of the real-time environment, and is used to compensate for the impact of the environment on the drying efficiency. The hair quality characteristic matrix constructed based on the above four parameters can comprehensively evaluate the hair quality of the target hair, making it easier to adjust the hair-drying device according to the target hair.

[0026] S110: Perform weighted calculation on the hair quality feature matrix to obtain a hair quality score of the target hair.

[0027] In an embodiment of the present invention, the hair quality characteristic matrix is ​​used to comprehensively evaluate the hair quality of the target hair. It includes four parameters: basic impedance ratio, high-frequency capacitive reactance attenuation value, dynamic water loss rate, and ambient humidity. The score of each parameter can be calculated separately according to the hair quality characteristic matrix, and then the four parameters are weighted and summed based on a preset weight ratio to obtain the hair quality score of the target hair.

[0028] S120: Adjust the operating parameters of the hair-drying device based on the electrical impedance parameter and the ambient humidity, and adjust the operating mode of the hair-drying device based on the hair quality score.

[0029] In an embodiment of the present invention, the operating parameters mainly include wind speed and temperature, and the operating parameters can be determined by electrical impedance parameters and ambient humidity. The operating mode can be pre-set, such as a negative ion curing mode, a hot and cold alternating mode, and an anti-humidity mode. After obtaining the electrical impedance parameters and ambient humidity, the target temperature and target speed of the hair dryer can be determined based on the electrical impedance parameters and ambient humidity. Then, the control module of the hair dryer adjusts the current speed and temperature of the hair dryer based on the determined target temperature and target speed so that the current speed and current temperature of the hair dryer are consistent with the target speed and target temperature.

[0030] Different working modes are mainly used to limit wind speed and wind temperature, and the working mode is mainly determined by the hair quality score. The hair quality score is usually a percentage. For example, hair quality scores above 85 points can be evaluated as healthy hair, corresponding to the first gear mode, hair quality scores between 70-85 points can be evaluated as moderately damaged, corresponding to the second gear mode, and hair quality scores less than 70 points can be evaluated as severely damaged, corresponding to the third gear mode. For the first gear mode, the upper temperature limit can be 55°C and the upper wind speed limit can be 15m / s. For the second gear mode, the upper temperature limit can be 52°C and the upper wind speed limit can be 13m / s. For the third gear mode, the upper temperature limit can be 48°C and the upper wind speed limit can be 11m / s. It can be understood that the wind speeds and temperatures of the above three gear modes are for illustration only, and their specific temperatures and speeds are not limited to the above values. For example, the temperature and speed corresponding to healthy hair quality can be used as a benchmark. For each gear reduction in the hair quality evaluation result, the temperature and speed corresponding to healthy hair quality will be reduced by a certain percentage, such as 10%. In addition, each gear can also set the negative ion frequency to facilitate hair care. For example, the negative ion frequency of the first gear mode is 1Hz, the negative ion frequency of the second gear mode is 1.5Hz, and the negative ion frequency of the third gear mode is 2Hz.

[0031] For example, if the working mode is confirmed to be the first gear mode, the upper temperature limit is 55°C and the upper wind speed limit is 15m / s. If the calculated target temperature is 60°C and the wind speed is 14m / s, the final temperature is 55°C and the final wind speed is 14m / s.

[0032] See also Figure 2 In some embodiments, such as the present embodiment, the control method based on multi-parameter collaboration may include steps S130-S131.

[0033] S130, obtaining the low-frequency impedance and high-frequency impedance of the target hair;

[0034] S131, substituting the low-frequency impedance and the high-frequency impedance into a first preset calculation formula to calculate the basic impedance ratio, where the first preset formula is:

[0035] R low ÷R high =R 比 (1)

[0036] Among them, R low is the low frequency impedance, R high is the high frequency impedance, R 比 is the basic impedance ratio.

[0037] In an embodiment of the present invention, the low-frequency impedance is the resistance value of the hair under a low-frequency signal, and the high-frequency impedance is the impedance value of the hair under a high-frequency signal. For example, a three-electrode solution (reference electrode E3, measurement electrode E1 / E2) is adopted, and the arc-shaped conductive brush on the edge of the air outlet serves as the active contact area. The fingerprint-shaped electrode embedded in the handle grip forms a passive sensing area. The reference ground loop is formed by the contact of the user's palm, and then the AD chip generates a 1kHz (low frequency) and 100kHz (high frequency) dual-frequency sine wave, and the constant current source outputs a safe current (50μARMS). Finally, data acquisition is performed to collect low-frequency impedance and high-frequency impedance. Specifically, a 1kHz low-frequency signal is first applied, and the initial resistance value is measured, which is recorded as the low-frequency resistance R low , then switch to 100kHz high frequency signal and measure the corresponding resistance value, which is recorded as high frequency resistance R high , then R low and R high Substitute into formula (1) to calculate the basic impedance ratio. For example, if R low =6.2kΩ, R high =4.8kΩ, then R 比 =6.2÷4.8≈1.29. Assuming the normal value is 1.1, it indicates that the stratum corneum is severely damaged.

[0038] See also Figure 3 In some embodiments, such as the present embodiment, the control method based on multi-parameter collaboration may include steps S140-S141.

[0039] S140, obtaining the low-frequency capacitive reactance and the high-frequency capacitive reactance of the target hair;

[0040] S141, substituting the low-frequency capacitive reactance and the high-frequency capacitive reactance into a second preset calculation formula to calculate the high-frequency capacitive reactance attenuation value, where the second preset calculation formula is:

[0041] (C low -C high )÷C low =C 比 (2)

[0042] Among them, C low is the low-frequency capacitive reactance, C high is the high frequency capacitive reactance, C 比 is the high frequency capacitive reactance attenuation value.

[0043] In the embodiments of the present invention, low-frequency capacitive reactance refers to the capacitive reactance value of hair under low-frequency signals, and high-frequency capacitive reactance refers to the capacitive reactance value of hair under high-frequency signals. For example, the low-frequency capacitive reactance value can be obtained by measuring the capacitive reactance value of hair under a low-frequency signal of 1 kHz, and the high-frequency capacitive reactance value can be obtained by measuring the capacitive reactance value of hair under a high-frequency signal of 100 kHz. Then, the low-frequency capacitive reactance and the high-frequency capacitive reactance are substituted into formula (2) to calculate the high-frequency capacitive reactance attenuation value. For example, if the low-frequency capacitive reactance is 3.5 and the high-frequency capacitive reactance is 2.1, then the high-frequency capacitive reactance attenuation value is 0.4, indicating that the hair scales are partially open and not to a serious degree.

[0044] See also Figure 4 In some embodiments, such as the present embodiment, the control method based on multi-parameter collaboration may include steps S150-S151.

[0045] S150, obtaining the initial resistance value of the test phase and the terminal resistance value at the end of the test phase;

[0046] S151, substituting the initial resistance value and the terminal resistance value into a third preset calculation formula to calculate the dynamic water loss rate, the third preset calculation formula is:

[0047]

[0048] Wherein, R1 is the initial resistance value corresponding to time T1, and R2 is the terminal resistance value corresponding to time T2.

[0049] In an embodiment of the present invention, the dynamic water loss rate is used to measure the speed of change in resistance of hair during the hair-drying process, reflecting the hair's ability to retain moisture. The larger the value, the poorer the moisture retention ability. The initial resistance in the test phase refers to the resistance value measured when the hair-drying device is in the cold start phase and first contacts the hair. The terminal resistance value refers to the resistance value measured after a fixed interval during the hair-drying process. For example, if the initial resistance value in the cold start phase is 3 and the terminal resistance value measured after an interval of 5 seconds is 4, then the dynamic water loss rate is 0.2, indicating a strong moisture retention ability. For healthy hair, its dynamic water loss rate is usually less than 0.3, and for damaged hair, its dynamic water loss rate is usually greater than 0.5.

[0050] See also Figure 5 In some embodiments, such as the present embodiment, step S110 may include steps S111-S112.

[0051] S111, respectively calculating the scores of the basic impedance ratio, the high-frequency capacitive reactance attenuation value, the dynamic water loss rate, and the ambient humidity to obtain a first score, a second score, a third score, and a fourth score;

[0052] S112: Perform weighted calculation on the first score, the second score, the third score, and the fourth score according to a preset weight ratio to obtain the hair quality score.

[0053] In an embodiment of the present invention, the hair quality feature matrix is ​​assumed to be F = {f1, f2, f3, f4}, where f1 is the basic impedance ratio, f2 is the ambient humidity, f3 is the dynamic water loss rate, and f4 is the high-frequency capacitive attenuation value. A standardized score is calculated for each parameter in the hair quality feature matrix to obtain a first score, a second score, a third score, and a fourth score. The first through fourth scores are then weighted to obtain a hair quality score. For example, the basic impedance ratio, which reflects the degree of stratum corneum damage, is set to a baseline value of 1.1. That is, when the basic impedance ratio is less than 1.1, indicating minimal stratum corneum damage, a score of 1.1 can be set to 60. The standardized score for f1 is then calculated using the linear mapping formula: score = 60 + k*(f1 - 1.1).

[0054] For ambient humidity, the higher the humidity, the lower the drying efficiency, requiring more compensation, which in turn results in a higher score. For example, taking 50% humidity as the baseline, the corresponding score is 80 points. The second score can be calculated using the formula score = 80 + (H - 50) * 0.8.

[0055] The dynamic water loss rate reflects the speed of resistance change when blowing. The larger the value, the greater the water-locking ability. Assuming 0.3 corresponds to 60 points and 1.0 corresponds to 100 points, the score = 60 + (f3-0.3) / (1.0-0.3) * 40. For example, if f3 = 0.6, the score is 77.14.

[0056] For high-frequency capacitive reactance attenuation values, the scores can be divided by intervals. For example, there are three intervals, the first interval is f2<0.3, the second interval is 0.3≤f2<0.5, and the third interval is f2≥0.5. The score of the first interval corresponds to 80-100, the score of the second interval corresponds to 60-80, and the score of the third interval corresponds to 0-60. The intermediate scores can be obtained by linear interpolation.

[0057] After obtaining the first to fourth scores, the hair quality score can be calculated according to the preset weight ratio. For example, the preset weight ratio can be that the weight of the basic impedance ratio is 0.35, the weight of the ambient humidity is 0.1, the weight of the dynamic water loss rate is 0.25, and the weight of the high-frequency capacitive reactance attenuation value is 0.3. If the first score is 82, the second score is 88, the third score is 73, and the fourth score is 65, the hair quality score is 75.25.

[0058] See also Figure 5 In some embodiments, such as the present embodiment, step S120 may include steps S121-S123.

[0059] S121, obtaining the basic impedance ratio and the ambient humidity, and substituting the basic impedance ratio and the ambient humidity into a preset temperature calculation formula to calculate a target temperature, wherein the preset temperature calculation formula is:

[0060] T 目 =55-(f1-3)×0.8+(f2-50)×0.2 (4)

[0061] T 目 is the target temperature, f1 is the basic impedance ratio, and f2 is the ambient humidity;

[0062] S122, obtaining the dynamic water loss rate and the ambient humidity, and substituting the dynamic water loss rate and the ambient humidity into a preset wind speed calculation formula to calculate a target wind speed, wherein the preset wind speed calculation formula is:

[0063]

[0064] V is the target wind speed, T is the set drying time, C is the real-time hair moisture content, f2 is the ambient humidity, and f3 is the dynamic water loss rate;

[0065] S123: Adjust the operating parameters of the blowing equipment according to the target temperature and the target wind speed.

[0066] In an embodiment of the present invention, a preset temperature calculation formula is used to calculate the target temperature. After obtaining the target temperature, real-time feedback adjustment can be used to ensure that the real-time temperature of the blowing device is maintained near the target temperature. For example, feedback adjustment can be performed through a PID algorithm to ensure that temperature fluctuations are not large. The baseline safety temperature can be set to 55°C, f1 is the basic impedance ratio, and f2 is the ambient humidity. If f1 is 5 and f2 is 65, the target temperature is 56.4°C. When the maximum temperature is greater than 56.4°C, the temperature of the blowing device should be adjusted to 56.4°C.

[0067] T is the user-set target drying time, such as 10 or 20 minutes. C is the real-time hair moisture content, which can be inferred from electrical impedance: higher moisture content means lower resistance. f2 is the ambient humidity, and f3 is the dynamic water loss rate. Assuming C is 20, f3 is 1.2, f2 is 60, and T is 300, then V = 5.6 m / s.

[0068] The target temperature and target wind speed obtained match the current hair quality and are limited by the wind speed upper limit and temperature upper limit set by the working mode, which can avoid damage to the hair.

[0069] The present invention also provides a blowing device, which is configured with the control method based on multi-parameter collaboration described in any one of the above embodiments.

[0070] The control method and hair-drying device based on multi-parameter collaboration disclosed in the present invention can obtain the electrical impedance parameters and ambient humidity of the target hair, and then construct a hair quality feature matrix. On the one hand, the hair quality score is calculated according to the hair quality feature matrix, and the working mode is confirmed according to the hair quality score. On the other hand, the working parameters are confirmed according to the electrical impedance parameters and ambient humidity, so that the hair-drying device can be adaptively adjusted, which can not only meet the needs of users but also avoid damage to the hair.

[0071] It should be noted that those skilled in the art can clearly understand that the specific implementation process of the above-mentioned blowing equipment and each unit can refer to the corresponding description in the aforementioned method embodiment. For the convenience and brevity of description, it will not be repeated here.

[0072] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0073] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, to the extent such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to encompass such changes and modifications.

[0074] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A control method based on multi-parameter collaboration, characterized in that: Applied to a blowing device, the method comprises: Acquiring electrical impedance parameters and ambient humidity of the target hair, and constructing a hair quality feature matrix based on the electrical impedance parameters and the ambient humidity; Performing weighted calculation on the hair quality feature matrix to obtain a hair quality score of the target hair; The operating parameters of the hair-drying device are adjusted based on the electrical impedance parameter and the ambient humidity, and the operating mode of the hair-drying device is adjusted based on the hair quality score.

2. The method according to claim 1, wherein The electrical impedance parameters include basic impedance ratio, high-frequency capacitive reactance attenuation value, and dynamic water loss rate, and the method includes: obtaining the low-frequency impedance and high-frequency impedance of the target hair; The low-frequency impedance and the high-frequency impedance are substituted into a first preset calculation formula to calculate the basic impedance ratio.

3. The method according to claim 2, wherein The first preset formula is: R low ÷R high =R 比 Among them, R low is the low frequency impedance, R high is the high frequency impedance, R 比 is the basic impedance ratio.

4. The method according to claim 2, wherein The method further comprises: Obtaining the low-frequency capacitive reactance and the high-frequency capacitive reactance of the target hair; The low-frequency capacitive reactance and the high-frequency capacitive reactance are substituted into a second preset calculation formula to calculate the high-frequency capacitive reactance attenuation value.

5. The method according to claim 4, wherein The second preset calculation formula is: (C low -C high )÷C low =C 比 Among them, C low is the low-frequency capacitive reactance, C high is the high frequency capacitive reactance, C 比 is the high frequency capacitive reactance attenuation value.

6. The method according to claim 2, wherein The method further comprises: Obtaining the initial resistance value of the test phase and the terminal resistance value at the end of the test phase; The initial resistance value and the terminal resistance value are substituted into a third preset calculation formula to calculate the dynamic water loss rate.

7. The method according to claim 6, wherein The third preset calculation formula is: Wherein, R1 is the initial resistance value corresponding to time T1, and R2 is the terminal resistance value corresponding to time T2.

8. The method according to claim 2, wherein The step of performing weighted calculation on the hair quality feature matrix to obtain the hair quality score of the target hair comprises: respectively calculating scores of the basic impedance ratio, the high-frequency capacitive reactance attenuation value, the dynamic water loss rate, and the ambient humidity to obtain a first score, a second score, a third score, and a fourth score; The first score, the second score, the third score, and the fourth score are weightedly calculated according to a preset weight ratio to obtain the hair quality score.

9. The method according to claim 2, wherein The step of adjusting the operating parameters of the blowing device based on the electrical impedance parameter and the ambient humidity includes: The basic impedance ratio and the ambient humidity are obtained, and the basic impedance ratio and the ambient humidity are substituted into a preset temperature calculation formula to calculate a target temperature, wherein the preset temperature calculation formula is: T 目 =55-(f1-3)×0.8+(f2-50)×0.2 T 目 is the target temperature, f1 is the basic impedance ratio, and f2 is the ambient humidity; The dynamic water loss rate and the ambient humidity are obtained, and the dynamic water loss rate and the ambient humidity are substituted into a preset wind speed calculation formula to calculate a target wind speed, wherein the preset wind speed calculation formula is: V is the target wind speed, T is the set drying time, C is the real-time hair moisture content, f2 is the ambient humidity, and f3 is the dynamic water loss rate; The operating parameters of the blowing equipment are adjusted according to the target temperature and the target wind speed.

10. A blowing device, characterized in that: The blowing device is configured with the control method based on multi-parameter collaboration as described in any one of claims 1-9.

Images