Energy-saving control method of electric hair cutter and control system thereof

Abstract

The invention discloses an energy-saving control method of an electric hair cutter and a control system thereof, and relates to the technical field of electric hair cutters, the method introduces a dynamic adjustment mechanism into the electric hair cutter, and according to the hardness index Hair and the load change rate L of hair, the power Pmotor and the rotating speed Nmotor of the electric hair cutter are intelligently adjusted. Specifically, when the hair hardness index Hair is smaller than a set hardness threshold value M1, the electric hair cutter automatically enters an energy-saving mode, power and rotating speed output is reduced, and excessive energy waste is avoided; and when the hair hardness index Hair is greater than or equal to the hardness threshold value M1, the electric hair cutter is automatically adjusted to proper operating parameters according to the hair with different hardness, so that the balance between the shearing efficiency and the energy efficiency is ensured. By means of the dynamic adjusting mechanism aiming at different hair hardness, the overall energy efficiency of the electric hair cutter can be improved to the maximum extent, invalid energy consumption is reduced, energy waste is reduced, and then the more environment-friendly using effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric hair clippers, and specifically to an energy-saving control method and its control system for an electric hair clipper. Background Art

[0002] As an electric beauty tool widely used in daily life, the electric hair clipper belongs to the small household appliance field and specifically belongs to the category of electric trimming tools. With the development of technology, the design and performance of electric hair clippers have been continuously improved, especially in innovations in motor drive, cutting efficiency, and comfort. However, different from traditional scissors, the use of electric hair clippers involves a large amount of power consumption, especially when used continuously for a long time, and the energy consumption problem becomes particularly prominent. Therefore, the research on the energy-saving control method for electric hair clippers belongs to an important application direction in the fields of smart home appliances and energy management. Specifically, the energy-saving control method for electric hair clippers aims to achieve goals such as energy conservation, extended service life, and improved user experience by precisely controlling the power and speed of the electric hair clipper and optimizing the operation mode of the motor.

[0003] At the present stage, in traditional electric hair clippers, energy efficiency management usually relies on simple power and speed control and lacks real-time response to dynamic factors such as hair hardness and cutting resistance. Most of the current electric hair clippers on the market lack the ability to adaptively adjust according to different hair types, and the power and speed of the motor are usually fixed and will not be optimized and adjusted according to the actual usage situation. Especially when trimming soft and fine hair, the electric hair clipper often still operates at a high power and speed, resulting in unnecessary energy waste. The existing energy-saving methods usually lack a dynamic adjustment mechanism, are slow to respond to factors such as changes in hair hardness and density, and cannot respond to changes in the usage environment in real time. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides an energy-saving control method and its control system for an electric hair clipper, which solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the first aspect of the present invention is realized through the following technical solutions, including the following steps:

[0006] S1. Collect the operation data of the electric hair clipper through a sensor group and transmit the operation data to the central controller inside the electric hair clipper; the sensor group includes a voltage sensor, a current sensor, and an encoder; the operation data includes motor voltage V, motor current I, motor power P, and motor speed N; wherein, the sensor group is directly connected to the central controller of the electric hair clipper through a circuit board, and the operation data collected by the sensor group is transmitted to the central controller in real time;

[0007] S2. Preprocess the operation data in the central processor to obtain a standard data set, and then extract features from the standard data set to obtain a feature vector set;

[0008] S3. Construct a hair hardness algorithm formula, input the feature vector set into the hair hardness algorithm formula, calculate the hair hardness index Hhair, make a preliminary comparison and evaluation of the hair hardness index Hhair with the hair hardness threshold M1, and execute a dynamic adjustment mechanism based on the preliminary comparison and evaluation results;

[0009] S4. The dynamic adjustment mechanism calculates through the feature vector set to obtain the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric clipper. According to the power adjustment value Pmotor and the speed adjustment value Nmotor, the central controller sets the output power and the shearing speed of the electric clipper for preliminary dynamic adjustment;

[0010] S5. After the dynamic adjustment mechanism is executed, the working state of the electric clipper is detected in real time, and the output power change amount △P is calculated. Based on the power change amount △P, the output load change rate L is calculated. The load change rate L is respectively evaluated with the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and an energy efficiency control mechanism is executed according to the load evaluation results.

[0011] Preferably, in S2, the preprocessing includes data cleaning, denoising and normalization processing to obtain a standard data set;

[0012] Among them, the data cleaning fills in the missing values of the operation data by using the KNN imputation method, and at the same time deletes the duplicate values and outliers in the operation data; the denoising performs denoising processing on the operation data by using a moving low-pass filter; the normalization processing uses the Min-Max normalization method to normalize all the data in the operation data and eliminate the unit dimensions between different data.

[0013] Preferably, in S2, the feature vector set includes the hair contact resistance Rhair, the hair density change rate △Rh, and the motor dynamic torque Tmotor;

[0014] The hair contact resistance Rhair is extracted by extracting the motor voltage V and the motor current I in the standard data set and calculating and extracting them using Ohm's law. The specific algorithm formula is: ;

[0015] The hair density change rate △Rh is calculated and extracted based on the change amount of the hair contact resistance Rhair. The specific algorithm formula is: , where Rhair(t - 1) represents the hair contact resistance at the previous moment, and △t represents the time interval;

[0016] The dynamic torque Tmotor of the motor is extracted by calculating the motor current I and the motor speed N in the standard dataset. The specific algorithm formula is: , where kmotor represents the motor constant.

[0017] Preferably, in S3,

[0018] The hair hardness index Hhair is calculated and output through the following hair hardness algorithm formula:

[0019] ;

[0020] The hair hardness index Hhair is the quantified hair hardness when the electric hair clipper is running.

[0021] Preferably, the preliminary comparison and evaluation of the hair hardness index Hhair with the hair hardness threshold M1 includes:

[0022] When the hair hardness index Hhair < the hair hardness threshold M1, it is determined that the hair being trimmed is fine hair, and the dynamic adjustment mechanism is automatically executed;

[0023] When the hair hardness index Hhair ≥ the hair hardness threshold M1, it is determined that the hair being trimmed is normal hair, and continuous monitoring is continued;

[0024] When the hair hardness index Hhair ≥ twice the hair hardness threshold M1, it is determined that the hair being trimmed is normal hard hair, and the dynamic adjustment mechanism is automatically executed.

[0025] Preferably, in S4, when the dynamic adjustment mechanism is automatically executed after the preliminary comparison and evaluation,

[0026] The dynamic adjustment mechanism includes power dynamic adjustment and speed dynamic adjustment to dynamically adjust the balance between the effect and energy efficiency of the electric hair clipper;

[0027] The power dynamic adjustment calculates and outputs the power adjustment value Pmotor of the electric hair clipper according to the hair hardness index Hhair in combination with the feature vector set, and then controls the motor of the electric hair clipper by the central controller according to the obtained power adjustment value Pmotor to dynamically adjust the output power of the electric hair clipper motor;

[0028] The power adjustment value Pmotor is calculated and output through the following algorithm formula;

[0029] ;

[0030] In the formula, It represents the power adjustment coefficient, and the output power of the motor is inversely proportional to the hair hardness index Hhair.

[0031] Preferably, in the step S4,

[0032] The rotational speed adjustment value Nmotor is calculated and output through the following algorithm formula:

[0033] ;

[0034] In the formula, It represents the rotational speed adjustment coefficient, and Nstd represents the standard rotational speed.

[0035] Preferably, in the step S5, the power change amount △P is calculated and output through the following algorithm formula: ; where, P(t) represents the motor power at the current moment t, and P(t - 1) represents the motor power at the moment t - 1;

[0036] The load change rate L is calculated and output through the following algorithm formula;

[0037] .

[0038] Preferably, the load change rate L is respectively compared with the first load fluctuation threshold F1 and the second load fluctuation threshold F2 for load evaluation, and the energy efficiency control mechanism is executed according to the load evaluation result, including:

[0039] When the load change rate L > the first load fluctuation threshold F1, it indicates that the load of the electric hair clipper fluctuates abnormally in the positive direction during operation. At this time, the first energy efficiency control mechanism is triggered to adjust the motor power P and rotational speed N of the electric hair clipper in the positive direction;

[0040] When the second load fluctuation threshold F2 ≤ the load change rate L ≤ the first load fluctuation threshold F1, it indicates that the load of the electric hair clipper fluctuates normally during operation. At this time, no adjustment is required;

[0041] When the load change rate L < the second load fluctuation threshold F2, it indicates that the load of the electric hair clipper fluctuates abnormally in the negative direction during operation, and the shear resistance is low. At this time, the second energy efficiency control mechanism is triggered to adjust the motor power P and rotational speed N of the electric hair clipper in the negative direction;

[0042] When the load evaluation output triggers the first energy efficiency control mechanism and the second energy efficiency control mechanism, the energy-saving adjustment value Padj is output according to the load change rate L, and the motor power P and rotational speed N of the electric hair clipper are jointly adjusted; where, the energy-saving adjustment value Padj is calculated and output through the following algorithm formula;

[0043] .

[0044] The present application provides an energy-saving control system for an electric hair clipper in a second aspect, including: an operating state monitoring module, a feature extraction module, a hair hardness analysis module, a dynamic adjustment module, and an adaptive energy-saving module;

[0045] The operating state monitoring module installs a sensor group inside the electric hair clipper to collect the operating data of the electric hair clipper in real time, and transmits the sensor group to the central controller inside the electric hair clipper;

[0046] The feature extraction module preprocesses the operating data in the central processor to obtain a standard data set, and then performs feature extraction based on the obtained standard data set to obtain a feature vector set;

[0047] The hair hardness analysis module constructs a hair hardness algorithm formula, extracts the feature vector set and inputs it into the hair hardness algorithm formula for calculation to output the hair hardness index Hhair, sets the hair hardness threshold M1, and makes a preliminary comparison and evaluation between the hair hardness threshold M1 and the hair hardness index Hhair, and executes a dynamic adjustment mechanism based on the preliminary comparison and evaluation result;

[0048] The dynamic adjustment module executes a dynamic adjustment mechanism based on the preliminary comparison and evaluation result. The dynamic adjustment mechanism calculates and outputs the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper according to the feature vector set, and the central controller controls the motor of the electric hair clipper to preliminarily dynamically adjust the output power and the cutting speed of the electric hair clipper according to the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper;

[0049] The adaptive energy-saving module detects the working state of the electric hair clipper in real time after the dynamic adjustment mechanism is executed, calculates and outputs the power change amount △P, then calculates and outputs the load change rate L based on the power change amount △P, sets the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and makes a load evaluation between the first load fluctuation threshold F1 and the second load fluctuation threshold F2 and the load change rate L, and then executes an energy efficiency control mechanism based on the load evaluation result.

[0050] The present invention provides an energy-saving control method for an electric hair clipper and its control system. It has the following beneficial effects:

[0051] (1) This method introduces a dynamic adjustment mechanism in the electric hair clipper. According to the hair hardness index Hhair and the load change rate L, it intelligently adjusts the power Pmotor and rotational speed Nmotor of the electric hair clipper. Specifically, when the hair hardness index Hhair is less than the set hardness threshold M1, the electric hair clipper automatically enters the energy-saving mode, reducing the power and rotational speed output to avoid excessive energy waste. When the hair hardness index Hhair is greater than or equal to the hardness threshold M1, the electric hair clipper automatically adjusts to appropriate operating parameters according to the hair of different hardnesses to ensure the balance of cutting efficiency and energy efficiency. This dynamic adjustment mechanism for different hair hardnesses can maximize the overall energy efficiency of the electric hair clipper, reduce ineffective energy consumption, and lower energy waste, thus achieving a more environmentally friendly usage effect.

[0052] (2) This method accurately evaluates the working state of the motor by real-time monitoring the working state of the electric hair clipper, especially the power change amount △P and the load change rate L. When the load change rate L exceeds the set load fluctuation threshold, the system will automatically trigger the energy efficiency control mechanism to adjust the power and rotational speed of the motor to ensure that the motor does not run at a high load or low load state for a long time, avoiding damage to the motor caused by overload or too low load. Through this refined dynamic adjustment, the motor of the electric hair clipper can maintain the best operating state, reduce the occurrence of faults such as overheating and overload, significantly extend the service life of the device, and reduce the device failure rate and maintenance cost.

[0053] (3) By combining the dynamic adjustment mechanism of hair hardness, the present invention can automatically adjust the power and rotational speed of the electric hair clipper according to different hair types, fine hair or thick hair. For hard hair, the electric hair clipper increases the power and rotational speed to ensure efficient cutting effect; for soft hair, it reduces the power and rotational speed to reduce unnecessary energy consumption, and effectively reduces noise and vibration, thereby enhancing the comfort and stability during use. This intelligent adjustment not only ensures the maximization of trimming efficiency, but also optimizes the user experience, avoiding problems such as overheating and jamming during hair cutting. At the same time, by reducing excessive power and rotational speed output, it can also significantly reduce the noise of the electric hair clipper and enhance the comfort and experience of users during long-term use. Description of the Drawings

[0054] Figure 1 It is a schematic diagram of the steps of an energy-saving control method for an electric hair clipper of the present invention;

[0055] Figure 2 It is a schematic diagram of the flow of an energy-saving control system for an electric hair clipper of the present invention. Detailed Embodiments

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. Embodiment 1

[0057] Please refer to Figure 1 , the present invention provides an energy-saving control method for an electric hair clipper. To achieve the above objectives, the present invention is realized through the following technical solutions: including the following steps:

[0058] S1. By installing a sensor group inside the electric hair clipper, the operation data of the electric hair clipper is collected in real time, and the sensor group is transmitted to the central controller inside the electric hair clipper.

[0059] S2. By preprocessing the operation data in the central processor, a standard data set is obtained. Then, based on the obtained standard data set, feature extraction is performed to obtain a feature vector set.

[0060] S3. Construct a hair hardness algorithm formula, extract the feature vector set and input it into the hair hardness algorithm formula for calculation to output the hair hardness index Hhair. Set the hair hardness threshold M1, and then compare and evaluate the hair hardness threshold M1 with the hair hardness index Hhair, and execute a dynamic adjustment mechanism based on the preliminary comparison and evaluation results.

[0061] S4. Based on the preliminary comparison and evaluation results, execute a dynamic adjustment mechanism. The dynamic adjustment mechanism calculates and outputs the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper according to the feature vector set, and based on the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper, the central controller controls the motor of the electric hair clipper to preliminarily dynamically adjust the output power and cutting speed of the electric hair clipper.

[0062] S5. After the dynamic adjustment mechanism is executed, the working state of the electric hair clipper is detected in real time, the power change amount △P is calculated and output, and then the load change rate L is calculated and output based on the power change amount △P. Set the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and compare the first load fluctuation threshold F1 and the second load fluctuation threshold F2 with the load change rate L for load evaluation, and then execute an energy efficiency control mechanism based on the load evaluation results.

[0063] In this embodiment, the method installs a sensor group inside the electric hair clipper to collect the operation data of the electric hair clipper in real time, and transmits this data to the central controller for processing. Through preprocessing the collected data, including operations such as data cleaning, denoising, and normalization, a standard data set is obtained, and based on this, feature extraction is performed to form a feature vector set. These feature vector sets reflect the hardness and density changes of the hair and the dynamic torque of the motor, and can provide an accurate basis for subsequent dynamic adjustment. On this basis, by constructing a hair hardness algorithm formula, the electric hair clipper calculates the hair hardness index Hhair according to the feature vector set and compares it with the preset hair hardness threshold M1 to determine the hardness of the hair being trimmed. If the hair hardness is low, indicating soft hair, it automatically enters the low-frequency energy-saving mode; if the hardness is high, indicating thick hair, the electric hair clipper maintains an efficient operating state without adjustment. According to the preliminary hair hardness evaluation results, the system further dynamically adjusts the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper, and adjusts the output power and cutting speed of the motor through the central controller to achieve intelligent adaptive adjustment of the electric hair clipper. This dynamic adjustment mechanism can ensure the balance between the cutting effect and the energy-saving effect according to the changes in hair hardness and density. Finally, the system monitors the working state of the electric hair clipper in real time and calculates the load change rate L based on the power change amount △P. When the load fluctuation exceeds the preset threshold, the system will further adjust the power and speed of the motor according to the load evaluation results to optimize the operating efficiency of the electric hair clipper and reduce energy waste. Through this refined control, the electric hair clipper can always maintain the optimal working state, thereby improving energy utilization efficiency, extending the service life of the device, and enhancing the user's trimming experience. Embodiment 2

[0064] Specifically: S1 includes S11 and S12;

[0065] S11. Install a sensor group inside the electric hair clipper to collect the operation data of the electric hair clipper in real time;

[0066] The sensor group includes a voltage sensor, a current sensor, and an encoder;

[0067] The operation data includes motor voltage V, motor current I, motor power P, and motor speed N;

[0068] The motor power P and the motor speed N are obtained through the encoder of the motor.

[0069] S12. Directly connect the sensor group to the central controller of the electric hair clipper through a circuit board, and transmit the collected operation data to the central controller in real time.

[0070] In this embodiment, the method installs a sensor group inside the electric hair clipper, including a voltage sensor, a current sensor, and an encoder. These sensors can collect key operation data of the electric hair clipper in real time to ensure the accuracy and timeliness of the data. Then, the collected operation data is directly connected to the central controller of the electric hair clipper through a circuit board, and these data are transmitted to the central controller in a timely manner for subsequent processing. This process ensures seamless data transmission and instant feedback, laying a foundation for the intelligent control and dynamic adjustment of the electric hair clipper. Embodiment 3

[0071] Specifically: S2 includes S21 and S22;

[0072] S21. Preprocess the operation data in the central controller. The preprocessing includes data cleaning, denoising, and normalization processing to obtain a standard data set;

[0073] Data cleaning fills in the missing values of the operation data by using the KNN imputation method, and at the same time deletes the duplicate values and outliers in the operation data;

[0074] Denoising processes the operation data by using a moving low-pass filter;

[0075] Normalization processing uses the Min-Max normalization method to normalize all the data in the operation data, eliminating the unit dimensions between different data.

[0076] S22. Extract features based on the standard data set to obtain a feature vector set;

[0077] The feature vector set includes the hair contact resistance Rhair, the hair density change rate △Rh, and the motor dynamic torque Tmotor;

[0078] The hair contact resistance Rhair is extracted by extracting the motor voltage V and the motor current I in the standard data set and calculating using Ohm's law. The specific algorithm formula is: ; This parameter reflects the friction between the motor and the hair. The greater the resistance, the harder the hair, and vice versa;

[0079] The hair density change rate △Rh is calculated and extracted based on the change amount of the hair contact resistance Rhair. The specific algorithm formula is: , where Rhair(t - 1) represents the hair contact resistance at the previous moment, and △t represents the time interval. This parameter is related to the change in hair density. An increase in density means the hair becomes harder, and a decrease in density means the hair may be softer and finer;

[0080] The motor dynamic torque Tmotor is calculated by extracting the motor current I and the motor speed N from the standard data set, analyzing the torque required for the motor to overcome the load, and reflecting the resistance during the trimming process. The specific algorithm formula is: , where kmotor represents the motor constant.

[0081] In this embodiment, the method preprocesses the collected operation data in the central controller. Data cleaning is performed by using the KNN interpolation method to fill in the missing values in the operation data to ensure data integrity; at the same time, duplicate values and outliers in the data are deleted to improve data quality and accuracy. Secondly, a low-pass filter is used to denoise the data, effectively removing high-frequency noise to ensure that the data is smoother and more stable. Finally, all the collected data is normalized by the Min-Max normalization method to eliminate the unit and dimension differences between different data, making subsequent feature extraction and calculation more accurate. After the preprocessing is completed, feature extraction is performed based on the standard data set to generate a feature vector set. The feature vector set includes the hair contact resistance Rhair, the hair density change rate △Rh, and the motor dynamic torque Tmotor, which can more accurately reflect the hardness and density change of the hair and the resistance encountered during the trimming process. These features provide more detailed and accurate data support for subsequent intelligent adjustment. Embodiment 4

[0082] Specifically: S3 includes S31 and S32;

[0083] S31. Construct a hair hardness algorithm formula, extract the feature vector set, input it into the hair hardness algorithm formula, calculate and output the hair hardness index Hhair to quantify the hardness of the hair during the operation of the electric hair clipper;

[0084] The hair hardness index Hhair is calculated and output through the following hair hardness algorithm formula;

[0085] .

[0086] S32. Set the hair hardness threshold M1 based on the hair hardness standard, and preliminarily compare and evaluate the hair hardness threshold M1 with the hair hardness index Hhair to judge the hair hardness situation during the current operation of the electric hair clipper, and trigger the dynamic adjustment mechanism based on the evaluation result. The specific evaluation content is as follows;

[0087] When the hair hardness index Hhair < the hair hardness threshold M1, it is determined that the trimmed hair is fine hair, and at this time, the dynamic adjustment mechanism is automatically executed;

[0088] When the hair hardness index Hhair ≥ the hair hardness threshold M1, it is determined that the trimmed hair is normal hair, and monitoring continues at this time;

[0089] When the hair hardness index Hhair ≥ twice the hair hardness threshold M1, it is determined that the trimmed hair is normal hard hair, and the dynamic adjustment mechanism is automatically executed at this time.

[0090] In this embodiment, the method constructs a hair hardness algorithm formula. This formula inputs parameters such as the hair contact resistance Rhair and the hair density change rate △Rh in the feature vector set into the algorithm, and calculates the hair hardness index Hhair. This index is a quantitative representation of hair hardness and can accurately reflect the hardness of the hair during the trimming process. The calculation of this hardness index is based on the interaction force between the hair and the clipper motor, such as friction and shear resistance, thus providing a quantitative index for judging the current hardness of the hair. After obtaining the hair hardness index Hhair, the system makes a preliminary comparison and evaluation of the hair hardness according to the preset hair hardness threshold M1. According to the comparison and evaluation of the hair hardness index and the hardness threshold, it can intelligently judge the hardness of the currently trimmed hair and automatically trigger the energy-saving mode according to the evaluation result. Embodiment 5

[0091] Specifically: S4 includes S41 and S42;

[0092] S41. When it is preliminarily compared and evaluated that the dynamic adjustment mechanism is automatically executed, the dynamic adjustment mechanism includes power dynamic adjustment and rotational speed dynamic adjustment, and the balance between the effect and energy efficiency of the clipper is dynamically adjusted;

[0093] The power dynamic adjustment calculates and outputs the power adjustment value Pmotor of the clipper by combining the hair hardness index Hhair with the feature vector set, and then controls the motor of the clipper by the central controller according to the obtained power adjustment value Pmotor to dynamically adjust the output power of the clipper motor;

[0094] The power adjustment value Pmotor is calculated and output through the following algorithm formula;

[0095] ;

[0096] In the formula, represents the power adjustment coefficient. The output power of the motor is inversely proportional to the hair hardness index Hhair. The hair hardness index Hhair of hard hair is large and requires more power, while the hair hardness index Hhair of soft hair is small and requires less power output. This formula ensures that the clipper intelligently adjusts the power according to the hair hardness.

[0097] S42. The rotational speed is dynamically adjusted by calculating and outputting a rotational speed adjustment value Nmotor according to the hair hardness index Hhair, and then the central controller controls the rotational speed of the motor of the electric hair clipper according to the obtained rotational speed adjustment value Nmotor to dynamically adjust the rotational speed of the motor of the electric hair clipper.

[0098] The rotational speed adjustment value Nmotor is calculated and output through the following algorithm formula.

[0099] ;

[0100] In the formula, represents the rotational speed adjustment coefficient, which affects the degree of rotational speed adjustment and is set by the user according to different hair hardnesses of the electric hair clipper. Nstd represents the standard rotational speed, which is the basic operating rotational speed of the electric hair clipper.

[0101] In this embodiment, the method calculates a power adjustment value Pmotor according to the hair hardness index Hhair, and dynamically adjusts this value through the eigenvector set. The calculation of the power adjustment value Pmotor takes into account the influence of hair hardness: for hard hair, the hair hardness index Hhair is larger, so a higher power is required to overcome greater shear resistance; for soft hair, the hair hardness index Hhair is smaller, and a lower power is required to avoid unnecessary energy waste. The central controller of the electric hair clipper adjusts the output power of the motor in real time according to the calculated power adjustment value Pmotor to ensure that the device always operates at the best energy efficiency and performance state. By intelligently adjusting the power, the system ensures that energy consumption is reduced when trimming soft hair, and sufficient power is provided when trimming hard hair to avoid unnecessary power consumption. Dynamically adjusting the power not only improves the energy efficiency of the electric hair clipper but also ensures the stability and quality of the trimming effect, especially when facing different hardness hairs. Embodiment 6

[0102] Specifically: S5 includes S51, S52, and S53.

[0103] S51. After the dynamic adjustment mechanism is executed, the working state of the electric hair clipper is detected in real time, the change of the motor power P at different time points is analyzed, and the power change amount △P is calculated and obtained. The power change amount △P is calculated and output through the following algorithm formula: ; where P(t) represents the motor power at the current moment t, and P(t - 1) represents the motor power at the moment t - 1, that is, the motor power at the previous moment.

[0104] Based on the power change amount △P, the load change rate L of the electric hair clipper is calculated by taking a ratio.

[0105] The load change rate L is calculated and output through the following algorithm formula.

[0106] 。

[0107] S52. Set the first load fluctuation threshold F1 and the second load fluctuation threshold F2 based on the load range of the clipper motor caused by cutting with normal hair hardness, and conduct a load assessment of the first load fluctuation threshold F1 and the second load fluctuation threshold F2 with the load change rate L. Analyze the load change of the clipper during the trimming process in real time, and trigger the energy efficiency control mechanism based on the load change. The specific assessment content is as follows;

[0108] When the load change rate L > the first load fluctuation threshold F1, it indicates that the load fluctuates abnormally in the positive direction, indicating that the hair is hard and thick or the clipper is not working smoothly. At this time, trigger the first energy efficiency control mechanism to adjust the motor power P and speed N of the clipper in the positive direction, that is, increase the power and speed to cope with the greater cutting resistance and ensure that the trimming process is not affected;

[0109] When the second load fluctuation threshold F2 ≤ the load change rate L ≤ the first load fluctuation threshold F1, it indicates that the load fluctuates normally, and no adjustment is required at this time;

[0110] When the load change rate L < the second load fluctuation threshold F2, it indicates that the load fluctuates abnormally in the reverse direction, indicating that the hair trimming process is relatively smooth, the hair quality is soft, and the cutting resistance is low. At this time, trigger the second energy efficiency control mechanism to adjust the motor power P and speed N of the clipper in the reverse direction, that is, save energy by reducing the power and speed to avoid excessive energy waste;

[0111] S53. When triggering the first energy efficiency control mechanism and the second energy efficiency control mechanism based on the load assessment output, at this time, according to the load change rate L, output the energy-saving adjustment value Padj, and jointly adjust the motor power P and speed N of the clipper;

[0112] The energy-saving adjustment value Padj is calculated and output through the following algorithm formula;

[0113] 。

[0114] In this embodiment, after the dynamic adjustment of power and speed is completed, the method calculates the power change amount △P by detecting the change of the motor power in real time, and obtains the load change rate L of the electric hair clipper through ratio calculation. This process can accurately reflect the load fluctuation experienced by the electric hair clipper during trimming, and provide an important basis for the subsequent energy efficiency control mechanism. In the load change rate evaluation link, the system sets two load fluctuation thresholds F1 and F2 to divide different load intervals of the working state of the electric hair clipper. By comparing with the load change rate L, the system can accurately identify the hardness and density of the current hair, and trigger the corresponding energy efficiency control mechanism accordingly: when the load change rate L exceeds the first load fluctuation threshold F1, the system determines that the hair is harder or there is resistance during trimming, and then starts the first energy efficiency control mechanism to increase the power and speed to ensure the smoothness of the trimming process; when the load change rate L is between the second load fluctuation threshold F2 and the first load fluctuation threshold F1, the load fluctuation is normal and no adjustment is required; when the load change rate L is lower than the second load fluctuation threshold F2, the system identifies that the hair is softer or the trimming is smoother, and triggers the second energy efficiency control mechanism to reduce the power and speed, thereby avoiding unnecessary energy consumption. In addition, after the load evaluation triggers the energy efficiency control mechanism, the system calculates the energy-saving adjustment value Padj, and jointly adjusts the motor power P and speed N of the electric hair clipper according to this adjustment value to optimize the overall energy efficiency. The energy-saving adjustment formula ensures that the electric hair clipper can accurately adjust the power and speed under different hair hardness and working states, meeting the trimming requirements while maximizing the energy efficiency. Through the combination of this series of dynamic adjustments and energy efficiency control mechanisms, the electric hair clipper can not only effectively adapt to the trimming requirements of different hair hardness and density, but also optimize the use of energy while ensuring the trimming quality. Embodiment 7

[0115] Please refer to Figure 1 and Figure 2 , an energy-saving control system for an electric hair clipper, comprising an operating state monitoring module, a feature extraction module, a hair hardness analysis module, a dynamic adjustment module, and an adaptive energy-saving module;

[0116] The operating state monitoring module installs a sensor group inside the electric hair clipper to collect the operating data of the electric hair clipper in real time, and transmits the sensor group to the central controller inside the electric hair clipper;

[0117] The feature extraction module preprocesses the operating data in the central processor to obtain a standard data set, and then performs feature extraction based on the obtained standard data set to obtain a feature vector set;

[0118] The hair hardness analysis module constructs a hair hardness algorithm formula, extracts a feature vector set and inputs it into the hair hardness algorithm formula for calculation to output the hair hardness index Hhair. It sets the hair hardness threshold M1, and then makes a preliminary comparison and evaluation between the hair hardness threshold M1 and the hair hardness index Hhair, and executes a dynamic adjustment mechanism based on the preliminary comparison and evaluation results;

[0119] The dynamic adjustment module executes a dynamic adjustment mechanism based on the preliminary comparison and evaluation results. The dynamic adjustment mechanism calculates and outputs the power adjustment value Pmotor and the rotational speed adjustment value Nmotor of the electric clipper according to the feature vector set, and based on the power adjustment value Pmotor and the rotational speed adjustment value Nmotor of the electric clipper, the central controller controls the motor of the electric clipper to preliminarily dynamically adjust the output power and the shearing speed of the electric clipper;

[0120] The adaptive energy-saving module detects the working state of the electric clipper in real time after the dynamic adjustment mechanism is executed, calculates and outputs the power change amount △P, then calculates and outputs the load change rate L based on the power change amount △P, sets the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and makes a load evaluation between the first load fluctuation threshold F1 and the second load fluctuation threshold F2 and the load change rate L, and then executes an energy efficiency control mechanism based on the load evaluation results.

[0121] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention.

Claims

1. A method for energy-saving control of an electric hair clipper, characterized in that: The following steps are involved: S1. Collecting the operation data of the electric hair clipper through a sensor group, and transmitting the operation data to a central controller inside the electric hair clipper; the sensor group includes a voltage sensor, a current sensor and an encoder; the operation data includes a motor voltage V, a motor current I, a motor power P and a motor speed N; wherein the sensor group is directly connected to the central controller of the electric hair clipper through a circuit board, and the operation data collected by the sensor group is transmitted to the central controller in real time; S2, obtaining a standard data set by preprocessing the operating data in a central processing unit, and then performing feature extraction on the standard data set to obtain a feature vector set; S3, constructing a hair hardness algorithm formula, inputting the feature vector set into the hair hardness algorithm formula, calculating the hair hardness index Hhair, performing a preliminary comparative evaluation on the hair hardness index Hhair and the hair hardness threshold M1, and executing a dynamic adjustment mechanism based on the preliminary comparative evaluation result; S4, the dynamic adjustment mechanism calculates through the characteristic vector set to obtain the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper, and the central controller sets the initial dynamic adjustment of the output power and cutting speed of the electric hair clipper according to the power adjustment value Pmotor and the speed adjustment value Nmotor; S5. After the dynamic adjustment mechanism is executed, the working state of the electric clipper is detected in real time, and the output power change △P is calculated. The output load change rate L is calculated based on the power change △P. The load change rate L is respectively evaluated with the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and the energy efficiency control mechanism is executed according to the load evaluation result.

2. The energy-saving control method of an electric hair clipper according to claim 1, characterized in that: In S2, the preprocessing includes data cleaning, denoising and normalization to obtain a standard data set; Among them, the data cleaning is performed by using the KNN interpolation method to fill in the missing values ​​of the operating data, and at the same time, the duplicate values ​​and abnormal values ​​in the operating data are deleted; the denoising is performed on the operating data by using a low-pass filter; the normalization is performed by using the Min-Max normalization method to normalize all the data in the operating data and eliminate the unit dimensions between different data.

3. The energy-saving control method of an electric hair clipper according to claim 1, characterized in that: In said S2, said feature vector set includes hair contact resistance Rhair, hair density change rate △Rh and motor dynamic torque Tmotor; The hair contact resistance Rhair is calculated and extracted by extracting the motor voltage V and the motor current I in the standard data set using Ohm's law. The specific algorithm formula is: ; The hair density change rate ΔRh is calculated and extracted based on the change in the hair contact resistance Rhair. The specific algorithm formula is: , where Rhair(t-1) represents the hair contact resistance at the previous moment, and △t represents the time interval; The motor dynamic torque Tmotor is calculated and extracted by extracting the motor current I and the motor speed N in the standard data set. The specific algorithm formula is: , where kmotor represents the motor constant.

4. The energy-saving control method of an electric hair clipper according to claim 3, characterized in that: In S3, The hair hardness index Hhair is calculated and outputted by the following hair hardness algorithm formula: ； The hair hardness index Hhair is the quantified hair hardness of the electric hair clipper when it is in operation.

5. The energy-saving control method of an electric hair clipper according to claim 1, characterized in that: The preliminary comparison and evaluation of the hair hardness index Hhair and the hair hardness threshold M1 includes: When the hair hardness index Hhair is less than the hair hardness threshold M1, the trimmed hair is determined to be fine hair, and the dynamic adjustment mechanism is automatically executed; When the hair hardness index Hhair ≥ the hair hardness threshold M1, the trimmed hair is determined to be normal hair and monitoring continues; When the hair hardness index Hhair ≥ twice the hair hardness threshold M1, the trimmed hair is determined to be normal hard hair, and the dynamic adjustment mechanism is automatically executed.

6. The energy-saving control method of an electric hair clipper according to claim 3, characterized in that: In said S4, when the automatic execution dynamic adjustment mechanism is initially compared and evaluated, The dynamic adjustment mechanism includes dynamic power adjustment and dynamic speed adjustment to dynamically adjust the balance between the effect and energy efficiency of the electric hair clipper; The power dynamic adjustment is performed by calculating the power adjustment value Pmotor of the electric hair clipper according to the hair hardness index Hhair and the characteristic vector set, and then the central controller controls the motor of the electric hair clipper according to the obtained power adjustment value Pmotor to dynamically adjust the output power of the motor of the electric hair clipper; The power adjustment value Pmotor is calculated and outputted by the following algorithm formula; ； In the formula, It represents the power regulation coefficient. The motor output power is inversely proportional to the hair hardness index Hhair.

7. The energy-saving control method of an electric hair clipper according to claim 6, characterized in that: In said S4, The speed adjustment value Nmotor is calculated and outputted by the following algorithm formula: ； In the formula, It indicates the speed adjustment coefficient, and Nstd indicates the standard speed.

8. The energy-saving control method of an electric hair clipper according to claim 6, characterized in that: In S5, the power variation ΔP is calculated and outputted by the following algorithm formula: ; Wherein, P(t) represents the motor power at the current time t, and P(t-1) represents the motor power at the time t-1; The load change rate L is calculated and outputted by the following algorithm formula; 。 9. The energy-saving control method of an electric hair clipper according to claim 8, characterized in that: The load change rate L is respectively subjected to load evaluation with the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and the energy efficiency control mechanism is executed according to the load evaluation result, including: When the load change rate L> the first load fluctuation threshold F1, it means that the load positive fluctuation is abnormal when the electric hair clipper is working again, and the first energy efficiency control mechanism is triggered at this time to positively adjust the motor power P and speed N of the electric hair clipper; When the second load fluctuation threshold F2 ≤ load change rate L ≤ first load fluctuation threshold F1, it means that the load fluctuation is normal when the electric hair clipper is working again, and no adjustment is required at this time; When the load change rate L is less than the second load fluctuation threshold F2, it means that the load reverse fluctuation is abnormal when the electric hair clipper is working again, and the shearing resistance is low. At this time, the second energy efficiency control mechanism is triggered to reversely adjust the motor power P and speed N of the electric hair clipper; When the load evaluation output triggers the first energy efficiency control mechanism and the second energy efficiency control mechanism, the energy-saving adjustment value Padj is output according to the load change rate L, and the motor power P and speed N of the electric hair clipper are jointly adjusted; wherein the energy-saving adjustment value Padj is calculated and output by the following algorithm formula; 。 10. An energy-saving control system for an electric hair clipper, used to execute an energy-saving control method for an electric hair clipper as claimed in any one of claims 1 to 9, characterized in that: include: Operation status monitoring module, feature extraction module, hair hardness analysis module, dynamic adjustment module and adaptive energy saving module; The operation status monitoring module collects the operation data of the electric hair clipper in real time by installing a sensor group inside the electric hair clipper, and transmits the sensor group to the central controller inside the electric hair clipper; The feature extraction module pre-processes the operating data in the central processing unit to obtain a standard data set, and then extracts features based on the obtained standard data set to obtain a feature vector set; The hair hardness analysis module constructs a hair hardness algorithm formula, extracts a feature vector set and inputs it into the hair hardness algorithm formula, calculates and outputs a hair hardness index Hhair, and sets a hair hardness threshold M1, performs a preliminary comparative evaluation on the hair hardness threshold M1 and the hair hardness index Hhair, and executes a dynamic adjustment mechanism based on the preliminary comparative evaluation result; The dynamic adjustment module executes a dynamic adjustment mechanism based on the preliminary comparison and evaluation results. The dynamic adjustment mechanism calculates and outputs a power adjustment value Pmotor and a speed adjustment value Nmotor of the electric hair clipper according to the feature vector set, and controls the motor of the electric hair clipper to perform preliminary dynamic adjustment of the output power and cutting speed of the electric hair clipper according to the power adjustment value Pmotor and the speed adjustment value Nmotor of the electric hair clipper by the central controller; The adaptive energy-saving module detects the working status of the electric clipper in real time after the dynamic adjustment mechanism is executed, calculates the output power change △P, and then calculates the output load change rate L based on the power change △P, and sets the first load fluctuation threshold F1 and the second load fluctuation threshold F2, and performs load evaluation on the first load fluctuation threshold F1 and the second load fluctuation threshold F2 and the load change rate L, and then executes the energy efficiency control mechanism based on the load evaluation result.

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