Control method of intelligent variable frequency energy-saving electric clipper and electric clipper

Abstract

The application provides a control method of an intelligent variable-frequency energy-saving electric clipper and the electric clipper. According to a signal of a posture detection module, a motion state of the electric clipper is divided into a working posture interval and a non-working posture interval. When in the working posture interval, the motor speed is increased when the load detection module indicates that the load is increased. When in the non-working posture interval, the motor is controlled to run at a preset non-working speed. The electric clipper comprises a motor, a posture detection module, a load detection module and a controller configured to execute the method. The application solves the problems of inaccurate working condition recognition, heavy load jamming and high idle energy consumption in the prior art. Through the posture grading and load detection linkage control model, fine speed regulation is realized, and the hair cutting experience and endurance are improved.

Description

Technical Field

[0001] This invention relates to the field of electric clipper technology, specifically to a control method for an intelligent variable frequency energy-saving electric clipper and the electric clipper itself. Background Technology

[0002] Electric hair clippers are commonly used personal care appliances. To improve user experience and achieve energy savings, some existing electric hair clipper products use dual signals, such as attitude sensors and current sensors, to control the motor speed, as shown in patent document CN204707065U. However, these existing technical solutions are usually based on simple signal superposition or coarse logical judgment, which has shortcomings in practical use.

[0003] First, its classification of actual working conditions for electric clippers is rather coarse, failing to accurately distinguish between different usage scenarios such as normal haircutting operations by a barber, slight hand-held shaking during haircutting breaks, and complete stillness on a table. This results in inaccurate speed control logic and poor adaptability. Second, when encountering sudden heavy loads such as thick hair, the existing solution's motor speed increase often lags, easily leading to insufficient power, hair getting caught, jamming, or even stalling, severely affecting the smoothness of the haircutting process. Furthermore, when the barber puts down or pauses use of the clippers during haircutting breaks, the motor decelerates slowly. Prolonged high-speed operation under no-load not only wastes unnecessary energy but also causes overheating of the machine body and blades, affecting handling comfort and the equipment's lifespan. Simultaneously, in non-operational states such as hand-held shaking, the existing solution may erroneously trigger high-speed operation due to instantaneous fluctuations in posture or current, further exacerbating ineffective energy consumption. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a control method for intelligent variable frequency energy-saving electric clippers and an electric clipper.

[0005] A control method for an intelligent variable frequency energy-saving electric clipper provided by the present invention includes: Based on the output signal of the attitude detection module, the motion state of the electric clipper is divided into at least two preset attitude intervals, and the preset attitude intervals include at least the working attitude interval and the non-working attitude interval. When the motion state is within the working posture range, the motor speed is increased when the output signal of the load detection module indicates that the load is increasing; When the motion state is in the non-operational posture range, the motor is controlled to run at a preset non-operational speed.

[0006] Furthermore, the non-operational posture range further includes a slight disturbance range and a static range; When the motion state is in the slight disturbance range, the motor is controlled to maintain the speed before entering the slight disturbance range; When the motion state is in the static range, the target speed of the motor is set to a preset sleep speed.

[0007] Furthermore, when the motion state is determined to have lasted for a preset duration in the static interval, the motor is controlled to reduce to the dormant speed within a preset deceleration time.

[0008] Furthermore, when the motion state is within the working posture range, if the output signal of the load detection module exceeds a preset overload threshold, the speed of the motor is instantly increased, wherein the increase in speed is 10% to 20% of the instantaneous speed before triggering the overload threshold.

[0009] Furthermore, the attitude detection module is a gyroscope detection circuit, and the load detection module is a load current detection circuit.

[0010] Furthermore, the motor is a brushless motor, and the speed of the motor is adjusted by adjusting the drive signal applied to the brushless motor.

[0011] According to the present invention, an intelligent variable frequency energy-saving electric clipper includes a motor, an attitude detection module, a load detection module, and a controller. The attitude detection module is electrically connected to the controller and is used to detect the attitude of the electric clipper. The load detection module is electrically connected to both the motor and the controller, and is used to detect the load on the motor. The controller is configured to: Based on the output signal of the posture detection module, the motion state of the electric clipper is divided into at least two preset posture intervals, and the preset posture intervals include at least the working posture interval and the non-working posture interval. When the motion state is within the working posture range, the motor speed is increased when the output signal of the load detection module indicates that the load is increasing; When the motion state is in the non-operational posture range, the motor is controlled to run at a preset non-operational speed.

[0012] Furthermore, the non-operational posture range further includes a slight disturbance range and a static range; The controller is also configured to: When the motion state is in the slight disturbance range, the motor speed is maintained at the speed it was before entering the slight disturbance range; When the motion state is in the static range, the target speed of the motor is set to a preset sleep speed.

[0013] Furthermore, the controller is also configured to: when the motion state is within the working posture range, if the output signal of the load detection module exceeds a preset overload threshold, then instantaneously increase the speed of the motor, wherein the increase in speed is 10% to 20% of the instantaneous speed before triggering the overload threshold.

[0014] Furthermore, the attitude detection module is a gyroscope detection circuit, and the load detection module is a load current detection circuit.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention establishes a control model that links posture classification with load detection, enabling precise differentiation of core operating conditions such as operation, shaking, and stationary states in electric hair clippers. It then executes a scenario-adaptive, refined speed control strategy, fundamentally solving the problems of speed misjudgment and coarse control caused by the coarse division of operating conditions in existing technologies. Under effective operating conditions, real-time load monitoring and instantaneous overspeed compensation under heavy loads proactively and rapidly increase motor power, effectively solving the problems of slow acceleration and hair-clamping issues when encountering dense hair, ensuring strong power and smoothness in the cutting process.

[0016] In addition, the rapid deceleration mechanism implemented when the device is stationary and idle, as well as the speed regulation shielding under slight disturbances, greatly reduces the energy waste and motor heat caused by ineffective idling, thereby effectively extending the device's battery life and improving the product's lifespan and grip comfort. Attached Figure Description

[0017] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the main control circuit provided in an embodiment of this application; Figure 2 This is a schematic diagram of the structure of the gyroscope detection circuit provided in the embodiments of this application; Figure 3 This is a schematic diagram of the load current detection circuit provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of the brushless drive circuit provided in the embodiments of this application; Figure 5 This is a schematic diagram of the power management circuit provided in an embodiment of this application; Figure 6This is a flowchart illustrating the intelligent variable frequency energy-saving electric clipper control method provided in the embodiments of this application. Detailed Implementation

[0018] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0019] Example 1 This embodiment provides an intelligent variable frequency energy-saving electric hair clipper and its control method. The core of this solution lies in establishing a linkage control model with attitude hierarchical priority and load matching adjustment to achieve intelligent and precise control of the electric hair clipper under different usage scenarios.

[0020] Please see Figures 1 to 5 The intelligent variable frequency energy-saving electric hair clipper of this embodiment mainly includes a main control circuit 1, a gyroscope detection circuit 2, a load current detection circuit 3, a brushless drive circuit 4, and a power management circuit 5 in its hardware structure. These circuit modules work together to form the physical carrier of the technical solution of this application.

[0021] Specifically, Figure 1 The structure of the main control circuit 1 is shown. As the control core of the entire electric hair clipper, the physical carrier of the main control circuit 1 can be a high-performance microcontroller, such as IC2 shown in the figure. This microcontroller IC2 is responsible for executing the preset control algorithm, processing input signals from various sensors, and generating corresponding control commands. To ensure that the microcontroller IC2 executes commands stably and accurately, a crystal oscillator XTAL is configured externally to provide a stable clock reference for the microcontroller IC2. The main control circuit 1 is electrically connected and exchanges signals with other modules such as the gyroscope detection circuit 2, the load current detection circuit 3, and the brushless drive circuit 4 through its input / output pins.

[0022] Reference Figure 2 This is a schematic diagram of the gyroscope detection circuit 2. The core component of this circuit is an attitude sensing chip U3, such as an inertial measurement unit integrating a three-axis gyroscope and a three-axis accelerometer. The attitude sensing chip U3 can capture motion data such as angular velocity and linear acceleration of the electric clippers in three-dimensional space in real time, and transmit this data to the main control circuit 1 through a standard communication interface (e.g., an I2C bus including data line SDA and clock line CLK). The gyroscope detection circuit 2 is the data source for implementing the attitude classification function in this application, and its output signal provides the basis for subsequent motion state judgment.

[0023] Figure 3The structure of load current detection circuit 3 is shown. This circuit is used to monitor the load status of the drive motor in real time. As an optional implementation, a low-resistance, high-precision sampling resistor R55 is connected in series in the main circuit of the motor power supply, i.e., the bus current IBUS path. According to Ohm's law, when the motor is working, the current flowing through the sampling resistor R55 will generate a small voltage drop across it that is proportional to the magnitude of the current. This voltage signal is processed by subsequent filtering and amplification circuits to form an average current signal I-AVG that accurately reflects the load magnitude. This average current signal I-AVG is transmitted to an analog-to-digital converter pin of the main control circuit 1, where it is sampled and digitized by the microcontroller IC2. It should be noted that the output signal of the load current detection circuit 3 is the key basis for realizing load-related speed regulation.

[0024] Figure 4 This is a schematic diagram of the brushless drive circuit 4. In a preferred embodiment of this application, the electric hair clipper uses a brushless motor as its power source due to its advantages such as high efficiency, long lifespan, and wide speed range. The brushless drive circuit 4, as the power execution unit driving the brushless motor, typically consists of a pre-drive chip and a three-phase MOSFET bridge circuit. As shown in the figure, this bridge circuit is composed of multiple power MOSFETs (e.g., a half-bridge structure represented by S1 / G1 / D1). The brushless drive circuit 4 receives pulse width modulation control signals from the main control circuit 1, such as the PWM inputs N1-PWM and P1-PWM shown in the figure. By precisely controlling the timing and duty cycle of the pulse width modulation signals applied to the gates of each MOSFET, the brushless drive circuit 4 can turn the three-phase bridge arms on and off in a specific sequence, thereby forming a rotating magnetic field in the motor windings and driving the motor rotor to rotate at a set speed and torque.

[0025] Figure 5 The structure of power management circuit 5 is shown. This circuit provides stable and reliable power to the entire electronic system and typically includes a battery management system (used in rechargeable electric hair clippers) and a voltage conversion circuit. As shown, the voltage regulator chip U1 converts the input voltage VDD from the battery or external adapter into one or more stable output voltages VOUT. These stable voltages are dedicated to powering core chips such as the main control circuit 1 and the gyroscope detection circuit 2, which have high requirements for power accuracy and stability, and are the foundation for ensuring the reliable operation of the entire system.

[0026] The following will combine Figure 6 The flowchart of the control method shown below provides a detailed explanation of the working process of this embodiment. The entire control process embodies the principle of "attitude priority".

[0027] The process begins at step S100, when the electric clipper is powered on or awakened, each circuit module completes initialization, and the motor can be set to a preset sleep low speed or standby state.

[0028] Subsequently, the process proceeds to step S110, which is attitude detection. The microcontroller IC2 in the main control circuit 1 continuously reads real-time angular velocity and acceleration data from the attitude sensing chip U3 of the gyroscope detection circuit 2 at a high frequency (e.g., 100 times per second) via the I2C bus.

[0029] Based on this, the process enters the crucial step S120, namely, determining the posture range. The algorithm running inside the microcontroller IC2 analyzes and processes the collected raw posture data, dividing the current motion state of the electric clippers into different preset posture ranges. In this embodiment, it is divided into at least a working posture range and a non-working posture range. More specifically, it can be further subdivided into three core ranges: 1. Effective haircutting posture range (corresponding to the working posture range): When the algorithm analyzes that the posture data exhibits regular reciprocating oscillation characteristics with a certain amplitude and frequency (e.g., the hand movements of a hairdresser during haircutting), the system determines that the electric clippers have entered the effective haircutting posture range. 2. Slight disturbance posture range (corresponding to a type of non-working posture range): When the posture data shows that the body has small, irregular shaking or momentary slight bumps, but neither reaches the characteristic threshold of effective haircutting action nor is it in a completely stationary state, the system determines that it is in the slight disturbance posture range. 3. Idle posture range (another type of non-operational posture range): When the posture data shows that the movement amplitude of the fuselage is below a very small idle threshold for a period of time, the system determines that it has entered the idle posture range.

[0030] Based on the judgment result of step S120, the control flow will enter different branches: If the haircutting posture range is determined to be valid, the valid haircutting process S121 is executed. In this process, the main control circuit 1 activates the load-related speed regulation logic and closely monitors the average current signal I-AVG from the load current detection circuit 3. The microcontroller IC2 compares the collected current value with the internally preset load threshold. When the user uses electric clippers to cut sparse hair, the motor load is small and the current value is low, so the main control circuit 1 can control the brushless drive circuit 4 to operate at a standard rated operating speed. When encountering dense or coarse hair, the cutting resistance increases, and the motor load increases sharply. The signal output by the load current detection circuit 3 will indicate that the load has increased. At this time, the main control circuit 1 will respond immediately by adjusting the pulse width modulation signal output to the brushless drive circuit 4 to increase the motor speed, so as to provide stronger cutting power, ensure a smooth haircutting process, and avoid hair getting caught or jamming. After cutting through the heavy-load area, the load drops, the current value decreases, and the main control circuit 1 then controls the motor to slowly return to the rated operating speed.

[0031] If the area is determined to be a minor disturbance, the minor disturbance handling procedure S122 is executed. In this procedure, the main control circuit 1 activates the anti-accidental touch logic and locks the speed control authority, that is, it temporarily ignores the signal fluctuations of the load current detection circuit 3. At this time, regardless of how the current signal changes, the main control circuit 1 will control the brushless drive circuit 4 to maintain the motor speed unchanged before entering this range. This "speed lock" mechanism can effectively avoid sudden changes in motor speed caused by instantaneous current fluctuations due to the user unintentionally shaking the electric clippers during haircut breaks or placing them on uneven surfaces, thereby preventing unnecessary energy consumption and noise.

[0032] If the device is determined to be in a static / idle state, the static / idle processing procedure S123 is executed. In this procedure, the main control circuit 1 activates the rapid deceleration logic. The microcontroller IC2 starts an internal timer to determine whether the device body is continuously in a static state. For example, when it is determined that the device body has been continuously static for a preset duration (e.g., 50 to 100 milliseconds, which can be set to 80 milliseconds in this embodiment), the main control circuit 1 immediately generates a deceleration command. This command acts on the motor through the brushless drive circuit 4, causing it to rapidly reduce from the current operating speed to a preset, low-energy-consumption sleep speed in a very short time (e.g., within 20 milliseconds). This millisecond-level rapid response greatly reduces the time the electric clipper's motor idles after it is lowered, thereby significantly saving energy and effectively reducing the heat generated by the blade and device body due to idling.

[0033] After one control cycle ends, the process proceeds to step S200 and immediately returns to step S110 to begin the next cycle of attitude detection and speed control. This control cycle is executed cyclically, thus achieving intelligent control of the electric hair clipper across all time domains and scenarios.

[0034] Example 2 This embodiment, based on Embodiment 1, further refines the control logic in non-operational states, aiming to provide more extreme energy-saving effects and a better experience in preventing accidental touches. The hardware structure of this embodiment can be completely adopted from the system described in Embodiment 1. The improvements are mainly reflected in the control algorithm and parameter settings embedded in the microcontroller IC2 of the main control circuit 1.

[0035] First, to more accurately classify attitude ranges, this embodiment presets more specific gyroscope angular velocity thresholds in the memory of the microcontroller IC2. For example, it can be defined that: when the absolute values ​​of the angular velocities of all axes reported by the attitude sensing chip U3 are consistently below a static threshold V_static (e.g., 5 degrees / second), it is determined to be a stationary state; when the absolute value of the angular velocity of at least one axis is consistently above a working threshold V_work (e.g., 30 degrees / second) and shows a regularity, it is determined to be a valid haircutting attitude; when the motion state is between these two thresholds, it is determined to be a slightly disturbed attitude. It is understood that these thresholds can be calibrated based on a large amount of experimental data to achieve the best differentiation effect.

[0036] Based on the more refined attitude division described above, this embodiment further refines the control logic for non-operational attitude intervals (including the slight disturbance interval and the stationary interval): In the optimization of the slight disturbance handling process S122, when the system determines that the electric clippers have entered the slight disturbance posture range, the main control circuit 1, in addition to performing the "lock current speed" operation described in Embodiment 1, will also start a short timer, for example, set to 2 seconds. The function of this timer is to determine whether the user may only be holding the clippers briefly without intending to perform any work. If, within the 2 seconds of the timer's countdown, the posture of the electric clippers fails to change to the "effective haircutting posture range," that is, the user is only slightly shaking the device without performing any haircutting action, then the main control circuit 1 will make an intelligent judgment and consider that the user has stopped working. At this time, even if the device is still in the user's hand, the main control circuit 1 will actively issue a command to control the brushless drive circuit 4 to reduce the motor speed from the current operating speed to the sleep low speed. Compared with Embodiment 1, this design can effectively avoid the power waste caused by the user holding the electric clippers for a long time without actually performing any work, and the energy-saving strategy is more proactive and intelligent.

[0037] In optimizing the idle / restoration process S123, this embodiment employs a dual judgment standard combining "continuous duration" and "cumulative duration" to improve the sensitivity and accuracy of the response when determining the idle state. The "continuous duration" standard is similar to that in Embodiment 1; when the main control circuit 1 detects through the gyroscope detection circuit 2 that the duration of continuous idle time reaches a short preset threshold (e.g., 50 milliseconds), it immediately triggers rapid deceleration logic, ensuring a rapid response to a clear "put down" action. Simultaneously, this embodiment introduces a "cumulative duration" standard. Specifically, the main control circuit 1 opens a time window (e.g., 1 second) and accumulates the total duration of the idle state within this window. If the accumulated idle time exceeds a preset cumulative threshold (e.g., 500 milliseconds) within this 1-second time window, the system will still trigger rapid deceleration logic, even if each idle period is very short. This design can very effectively handle the intermittent static state that barbers frequently and briefly stop the electric clippers on the customer's scalp or in their hands during operation, making the speed reduction more timely and further optimizing energy consumption.

[0038] Furthermore, this embodiment optimizes the process of recovering from sleep mode at low speed to operating speed. When the hair clippers are in sleep mode at low speed, the main control circuit 1 continues to monitor the posture with low power consumption. Once the data from the gyroscope detection circuit 2 indicates that the device has entered the "effective haircutting posture range," the main control circuit 1 will not only immediately release the sleep mode but also control the brushless drive circuit 4 to increase the motor speed according to a preset, optimized acceleration slope. This acceleration slope is carefully designed to ensure that the speed is increased to the rated operating speed in a very short time, ensuring that the user experiences a "ready-to-use" rapid response, while avoiding current surges and uncomfortable vibrations caused by excessive acceleration, thus achieving a good balance between response speed and smooth operation.

[0039] Through the refined design of the non-operation state control logic described above, the intelligent electric clipper in this embodiment can respond more intelligently and quickly to various complex non-operation scenarios compared to Embodiment 1. It has stronger anti-accidental touch capability and more significant energy-saving effect.

[0040] Example 3 This embodiment focuses on the in-depth optimization of the speed adjustment logic within the "effective haircutting posture range". It aims to achieve smoother and more accurate power matching for different hair types and different shearing loads by introducing multi-level current thresholds and high-precision sampling technology.

[0041] In one embodiment of this application, the load current detection circuit 3 of Embodiment 1 can be upgraded. To obtain high-precision readings over a wide current range from no-load, light-load to heavy-load, the load current detection circuit 3 can employ a segmented sampling design. For example, a programmable gain amplifier can be integrated after the sampling resistor R55. The microcontroller IC2 of the main control circuit 1 can dynamically adjust the gain of the programmable gain amplifier according to the approximate current load condition: high gain amplification is used under light load and weak current signal conditions to improve the signal-to-noise ratio and resolution; low gain is used under heavy load and strong current signal conditions to prevent signal saturation. Alternatively, in another embodiment, multiple parallel sampling branches can be configured, each optimized for a different current range, with the main control circuit 1 selecting the appropriate branch for sampling. This high-precision current detection capability is a prerequisite for achieving refined multi-level speed regulation.

[0042] At the software algorithm level, the microcontroller IC2 of the main control circuit 1 has a more complex and refined set of multi-level current thresholds. These thresholds are no longer single overload judgment points, but constitute a hierarchical system, which may include, for example: - Idle: The current value of the motor when it is running idle. - Normal load threshold I_normal: Typical current value when shearing ordinary sparse hair. - Heavy load threshold I_heavy: Typical current value when shearing dense hair. - Extreme current threshold I_extreme: The peak current value that may occur when shearing extremely coarse or tangled hair.

[0043] When the electric hair clippers are in the effective hair cutting process S121, the main control circuit 1 executes the following multi-level speed regulation strategy based on the real-time current reading from the high-precision load current detection circuit 3: 1. When the detected motor current is lower than the normal load threshold I_normal (but higher than the no-load threshold I_idle), it indicates that the current shear load is very light. At this time, the main control circuit 1 will control the brushless drive circuit 4 to operate at a lower "energy-saving speed", which is sufficient to complete the light load shearing while minimizing power consumption.

[0044] 2. When the current value is between the normal load threshold I_normal and the heavy load threshold I_heavy, it indicates that the electric hair clipper is in its most common routine operating state. Accordingly, the main control circuit 1 controls the motor to operate at the standard "rated operating speed," which is an operating point that achieves a good balance between power, efficiency, and noise.

[0045] 3. When the shear load increases, causing the current value to exceed the heavy load threshold I_heavy but remain below the ultra-heavy load threshold I_extreme, the system determines that it has entered a heavy load condition. The main control circuit 1 will respond immediately, instantly increasing the motor speed by one level through the brushless drive circuit 4, for example, by 10% from the rated operating speed. This active power compensation ensures that strong shearing force is maintained even when processing dense hair, preventing a drop in speed.

[0046] 4. In extreme cases, if the load current spikes instantaneously and exceeds the overload threshold I_extreme, it indicates that extremely high shear resistance has been encountered. At this time, the main control circuit 1 will trigger the highest level of power response, instantly increasing the motor speed to the maximum compensation level, for example, increasing it by 20% from the current speed. This "overspeed compensation" function is key to solving the problem of sudden heavy loads causing motor slippage. As an additional optimization, the main control circuit 1 can also link other output devices at this time, such as driving a buzzer to emit a short warning sound or flashing an LED indicator to warn the user that the current load is too high.

[0047] 5. Corresponding to the power increase, the control logic in this embodiment has also been optimized when the load decreases and the current drops. The decrease in speed is not abrupt, but follows a smooth gradient. For example, when the current drops from the overload range to the heavy load range, the speed gradually decreases from a 20% increase to a 10% increase; when the current further decreases to the normal load range, the speed gradually decreases from a 10% increase to the rated operating speed. This smooth speed transition avoids drastic fluctuations in motor speed, significantly improving the user's auditory and tactile comfort during the haircutting process, thus enhancing the smoothness of the entire haircutting process.

[0048] Through the optimizations in this embodiment, the power output of the intelligent electric hair clipper becomes highly adaptable. Whether dealing with the soft, fine hair of children or the coarse, stiff hair of adults, it can accurately and in real time match the most suitable cutting force, ensuring that there is no jamming under various conditions and achieving further energy savings when the load is light.

[0049] Example 4 This embodiment aims to provide a more specific and in-depth explanation of the gyroscope detection circuit 2 and its attitude recognition algorithm in the main control circuit 1, to demonstrate how the proposed solution achieves accurate recognition of the electric clipper's usage posture through advanced sensing technology and algorithms, thereby making a more intelligent and safer response than simple motion detection. Its hardware structure can also follow the configuration of Embodiment 1.

[0050] In this embodiment, the attitude recognition algorithm inside the microcontroller IC2 of the main control circuit 1 not only analyzes the amplitude of the motion signal output by the gyroscope detection circuit 2, but also performs a comprehensive analysis of its frequency, direction, and fusion characteristics with the accelerometer data.

[0051] 1. More Reliable "Effective Haircutting Posture" Recognition: Traditional posture detection may distinguish between dynamic and static states simply by judging whether the amplitude of movement exceeds a threshold, but this is prone to misjudging irregular swaying as work. The algorithm in this embodiment optimizes this. The main control circuit 1 can perform Fast Fourier Transform or similar frequency domain analysis on the angular velocity data transmitted from the posture sensing chip U3. The algorithm is set to find periodic signals within a specific frequency range (e.g., 1 Hz to 5 Hz), because when a hairdresser is cutting clippers, their hands make a rhythmic, reciprocating swing, and the frequency of their movement usually falls within this range. Therefore, when the algorithm detects a regular signal with energy concentrated in the 1-5 Hz frequency band on one or two main motion axes of the electric clippers, it can determine with high confidence that the current position is in the "effective haircutting posture range". This frequency feature-based recognition method can effectively distinguish the professional work movements of the hairdresser from the user's random, irregular swaying, thereby greatly improving the accuracy of work condition judgment.

[0052] 2. Accelerometer-Based Abnormal Event Identification: It is understood that the attitude sensing chip U3 is typically an inertial measurement unit integrating a gyroscope and an accelerometer. The algorithm in this embodiment fully utilizes the accelerometer data. The main control circuit 1 continuously monitors the three-axis acceleration data. During normal use, the acceleration value fluctuates within a relatively stable range. However, if the electric clippers accidentally slip from the hand or collide with a hard object, the accelerometer will detect a momentary, severe high-G impact signal. The algorithm presets an impact threshold (e.g., greater than 8G). Once the detected acceleration value exceeds this threshold, the main control circuit 1 immediately determines that an abnormal event of "drop or collision" has occurred. In response, the system can execute an emergency stop procedure, immediately cutting off the motor power supply through the brushless drive circuit 4, or reducing the motor to the minimum safe speed within milliseconds. This function greatly improves product safety, protecting the motor and clippers from impact damage and, to some extent, preventing secondary injuries caused by drops.

[0053] 3. Recognition of stationary orientation based on gravity components: The algorithm in this embodiment can also distinguish how the electric clippers are "stationary". When the electric clippers are completely stationary, the only signal measured by its triaxial accelerometer is the acceleration due to gravity (approximately 1G). By analyzing the magnitude of the components of this 1G acceleration due to gravity on the X, Y, and Z axes, the main control circuit 1 can accurately determine the current spatial orientation of the electric clippers, such as whether it is placed horizontally on a table, suspended vertically on a hook, or leaning against an object.

[0054] – If the acceleration component of the Z-axis (usually defined as the axis perpendicular to the main plane of the fuselage) is close to 1G, while the X and Y axis components are close to 0, it indicates that the electric clipper is placed horizontally.

[0055] – If a component of either the X-axis or Y-axis (axis within the machine's plane) is detected to be close to 1G, it indicates that the electric clipper is vertical or inverted. Based on this more precise identification of static states, a more intelligent sleep strategy can be implemented. For example, it can be set that when the electric clipper is "horizontally stationary" for more than 30 seconds, the system enters a lower-power "deep sleep" mode; while when it is "vertically suspended," the system assumes that the user may need to access it at any time, and therefore maintains a "shallow sleep" state that can be quickly awakened.

[0056] Using the deep posture recognition technology described in this embodiment, electric clippers can not only easily determine "movement" and "stillness", but also identify "how it moves" (whether it is regular operation or random shaking) and "how it is still" (whether it is laid flat or suspended), thereby enabling more accurate, intelligent and safe responses.

[0057] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A control method for an intelligent variable frequency energy-saving electric clipper, characterized in that, include: Based on the output signal of the attitude detection module, the motion state of the electric clipper is divided into at least two preset attitude intervals, and the preset attitude intervals include at least the working attitude interval and the non-working attitude interval. When the motion state is within the working posture range, the motor speed is increased when the output signal of the load detection module indicates that the load is increasing; When the motion state is in the non-operational posture range, the motor is controlled to run at a preset non-operational speed.

2. The control method for intelligent variable frequency energy-saving electric clippers according to claim 1, characterized in that, The non-operational posture range further includes a slight disturbance range and a static range; When the motion state is in the slight disturbance range, the motor is controlled to maintain the speed before entering the slight disturbance range; When the motion state is in the static range, the target speed of the motor is set to a preset sleep speed.

3. The control method for intelligent variable frequency energy-saving electric clippers according to claim 2, characterized in that, When the motion state is determined to have lasted for a preset duration in the stationary interval, the motor is controlled to reduce to the dormant speed within a preset deceleration time.

4. The control method for intelligent variable frequency energy-saving electric clippers according to claim 1, characterized in that, When the motion state is within the working posture range, if the output signal of the load detection module exceeds a preset overload threshold, the speed of the motor is instantly increased, wherein the increase in speed is 10% to 20% of the instantaneous speed before triggering the overload threshold.

5. The control method for intelligent variable frequency energy-saving electric clippers according to claim 1, characterized in that, The attitude detection module is a gyroscope detection circuit, and the load detection module is a load current detection circuit.

6. The control method for intelligent variable frequency energy-saving electric clippers according to claim 1, characterized in that, The motor is a brushless motor, and the speed of the motor is adjusted by adjusting the drive signal applied to the brushless motor.

7. An intelligent variable frequency energy-saving electric hair clipper, comprising a motor, a posture detection module, a load detection module, and a controller, characterized in that, The attitude detection module is electrically connected to the controller and is used to detect the attitude of the electric clipper. The load detection module is electrically connected to both the motor and the controller, and is used to detect the load on the motor. The controller is configured to: Based on the output signal of the posture detection module, the motion state of the electric clipper is divided into at least two preset posture intervals, and the preset posture intervals include at least the working posture interval and the non-working posture interval. When the motion state is within the working posture range, the motor speed is increased when the output signal of the load detection module indicates that the load is increasing; When the motion state is in the non-operational posture range, the motor is controlled to run at a preset non-operational speed.

8. The intelligent variable frequency energy-saving electric clipper according to claim 7, characterized in that, The non-operational posture range further includes a slight disturbance range and a static range; The controller is also configured to: When the motion state is in the slight disturbance range, the motor speed is maintained at the speed it was before entering the slight disturbance range; When the motion state is in the static range, the target speed of the motor is set to a preset sleep speed.

9. The intelligent variable frequency energy-saving electric clipper according to claim 7, characterized in that, The controller is further configured to: when the motion state is within the working posture range, if the output signal of the load detection module exceeds a preset overload threshold, then instantly increase the speed of the motor, wherein the increase in speed is 10% to 20% of the instantaneous speed before triggering the overload threshold.

10. The intelligent variable frequency energy-saving electric clipper according to claim 7, characterized in that, The attitude detection module is a gyroscope detection circuit, and the load detection module is a load current detection circuit.

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