Hot air comb double-area constant temperature control system based on temperature induction

Abstract

The invention discloses a hot air comb double-area constant temperature control system based on temperature induction, and relates to the technical field of temperature regulation and control, and the system comprises a temperature monitoring module which is used for collecting the real-time temperature data of a hot air comb in real time; the control core module comprises an area identification unit and a temperature control unit; the area identification unit is used for distributing area characteristic labels for different heating areas of the hot air comb; the temperature control unit is used for receiving the real-time temperature data and calculating a control signal for adjusting the power of the heater; and the driving execution module is used for adjusting the power of the heating element in the corresponding area through an independent power channel according to the received control signal. The method has the advantages that the problem of non-uniform heat distribution caused by a physical structure of the hot air comb is effectively solved by setting double-area independent constant-temperature control and introducing a multi-state intelligent judgment mechanism based on the size of a temperature error signal, a change trend and an area characteristic label; and the temperature control precision and stability of the tip sensitive area are obviously improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of temperature regulation, in particular to a hot air comb double-zone constant temperature control system based on temperature sensing. BACKGROUND

[0002] At present, the hot air combs on the market generally adopt single-point temperature monitoring and unified constant temperature control strategy. Such systems usually install a temperature sensor near the heater and adjust the overall heating power through a single PID control algorithm to achieve the set target temperature. However, due to the physical structure differences and uneven heat distribution from the root to the tip of the comb teeth, this single temperature control mode is difficult to cope with the thermal inertia and heat dissipation differences of different regions, which easily leads to a large deviation between the actual temperature and the target temperature in different heating regions. Especially for sensitive areas such as hair tips, excessive temperature or large fluctuations can easily cause heat damage to the hair, affecting the styling effect and damaging the hair quality.

[0003] To improve the temperature control effect, some hot air combs with partition heating have appeared in the prior art, which provide differentiated heat by setting multiple heating zones. However, the partition control logic of such solutions is relatively simple, and fixed power distribution or preset temperature curve is mostly used, lacking the ability of dynamic feedback and adaptive adjustment according to real-time temperature. The control system parameters and data acquisition frequency are usually fixed, and cannot intelligently identify and respond to the needs of different control states such as rapid temperature rise, constant temperature maintenance, and oscillation suppression. Therefore, when dealing with complex and variable use environments, different hair qualities or sudden adjustments of the set temperature by users, the response speed, control accuracy and stability of the existing system are still insufficient, and it is difficult to achieve truly precise, adaptive and hair-protecting partition constant temperature control. SUMMARY

[0004] To solve the above technical problems, a kind of is provided, the technical scheme of the present application solves at least one technical problem mentioned in the background art.

[0005] To achieve the above purpose, the technical scheme adopted by the present application is:

[0006] A hot air comb double-zone constant temperature control system based on temperature sensing, comprising:

[0007] A temperature monitoring module, the temperature monitoring module comprises at least two temperature sensors arranged in the heating area of the hot air comb, for real-time acquisition of real-time temperature data of the hot air comb;

[0008] A control core module, the control core module is in communication connection with the temperature monitoring module, and the control core module comprises a region identification unit and a temperature control unit;

[0009] The region identification unit is configured to assign region characteristic labels to different heating regions of the hot air comb, the labels including sensitive regions requiring high-precision temperature control and standard regions allowing standard temperature control;

[0010] The temperature control unit is configured to collect the real-time temperature data and independently perform the following operations for each region: comparing the real-time temperature data with a preset target temperature, generating a temperature error signal, determining a current control state of the region based on a size of the temperature error signal, a change trend of the temperature error signal, and the characteristic label of the region;

[0011] According to the determined control state, the control parameters and the temperature data collection frequency of the region are dynamically adjusted, and a control signal for adjusting the power of the heater is calculated;

[0012] The driving execution module is in communication connection with the control core module, and the driving execution module adjusts the power of the heating element of the corresponding region through an independent power channel according to the received control signal, so as to realize differentiated adaptive constant temperature control on different regions.

[0013] Preferably, the assigning of the region characteristic labels to the different heating regions of the hot air comb specifically includes:

[0014] During system initialization, pre-assignment is performed according to the physical structure of the hot air comb, and the tip region is marked as a sensitive region by default, and the root region is marked as a standard region by default;

[0015] A user interaction interface is provided through connection with an intelligent terminal, and user instructions are received to manually specify a specific region as the sensitive region or the standard region;

[0016] Through a self-learning mechanism, the temperature stability of each region in a constant temperature state is continuously monitored, and when the temperature fluctuation standard deviation of a region continuously exceeds a preset threshold, the characteristic label of the region is automatically updated to a sensitive region.

[0017] Preferably, the comparing of the real-time temperature data with a preset target temperature, the generating of a temperature error signal, and the determining of a current control state of the region based on a size of the temperature error signal, a change trend of the temperature error signal, and the characteristic label of the region specifically include:

[0018] The current temperature error e(k) is calculated in real time, wherein, is a target temperature, is a real-time temperature;

[0019] a first error threshold , a second error threshold , and a fluctuation standard deviation threshold , wherein ;

[0020] performing multi-level state determination:

[0021] if , determining the fast-changing state;

[0022] if , determining the standard constant temperature state;

[0023] if , further calculating the standard deviation σ of the continuous N temperature collection data, if , determining the fluctuation suppression state, if and the region characteristic label is a sensitive region, determining the high-precision state, if and the region characteristic label is a standard region, determining the standard constant temperature state, and N is a preset steady state determination number.

[0024] Preferably, according to the determined control state, the control parameters of the region are dynamically adjusted, specifically including:

[0025] different proportional, integral, and differential control parameter sets are respectively preset for the fast-changing state, the standard constant temperature state, the fluctuation suppression state, and the high-precision state;

[0026] According to the determined control state, the corresponding proportional, integral, and differential control parameter set is called to calculate the current control signal output;

[0027] Among the same control state, the parameter set assigned to the sensitive region has a stronger differential control effect compared to the parameter set assigned to the standard region, aiming to preferentially suppress temperature overshoot and fluctuation.

[0028] Preferably, the temperature data collection frequency of the region is dynamically adjusted according to the determined control state, specifically including:

[0029] When the determined control state is the fast-changing state or the fluctuation suppression state, the temperature data collection frequency of the corresponding region is increased to a first high frequency value;

[0030] When the determined control state is the high-precision state, the collection frequency is maintained or increased to the first high frequency value or a second high frequency value higher than the first high frequency value;

[0031] When the determined control state is the standard constant temperature state and the temperature error is stable within a preset range, the collection frequency is adjusted to a standard frequency value;

[0032] When the system as a whole is in standby or low-temperature operation, the collection frequency of all regions is uniformly reduced to an energy-saving frequency value.

[0033] ​Preferably, the control core module further comprises a fan coordination unit configured to determine a target fan rotating speed based on the maximum value or the weighted average value of all regional target temperatures, and specifically comprises:

[0034] querying a preset "temperature-rotating speed" curve based on the maximum value or the weighted average value of all regional target temperatures to obtain an accurate fan rotating speed set point;

[0035] controlling a fan driving circuit to steplessly adjust the actual rotating speed of the fan to the set point, so as to realize the matching of air volume and heat.

[0036] Preferably, the working process of the system is as follows:

[0037] When the hot air comb is started, the temperature control unit calls the region identification unit to obtain the region characteristic label of different heating regions of the hot air comb;

[0038] When the hot air comb is used, the temperature monitoring module collects real-time temperature data of the hot air comb through the temperature sensor arranged in the heating region of the hot air comb and sends the real-time temperature data to the temperature control unit;

[0039] The temperature control unit compares the real-time temperature data with the preset target temperature to generate a temperature error signal, determines the current control state based on the size, change trend of the temperature error signal and the characteristic label of the region, and determines the current control state based on the size, change trend of the temperature error signal and the characteristic label of the region;

[0040] The temperature control unit dynamically adjusts the control parameters and the temperature data acquisition frequency of the region according to the determined control state, calculates a control signal for adjusting the power of the heater, and feeds back the temperature data acquisition frequency to the temperature monitoring module;

[0041] The driving execution module adjusts the power of the corresponding region heating element through an independent power channel according to the received control signal, so as to realize the differential adaptive constant temperature control of different regions.

[0042] Compared with the prior art, the present application has the following advantages:

[0043] The application can dynamically adjust the PID control parameters and temperature collection frequency of each region by setting double-zone independent constant temperature control and introducing a multi-state intelligent judgment mechanism based on the size, change trend and region characteristic label of the temperature error signal, thereby realizing differentiated and self-adaptive precise temperature control of different heating regions. This not only effectively solves the problem of uneven heat distribution caused by the physical structure of the hot air comb, significantly improves the temperature control accuracy and stability of the sensitive area of the tip, avoids hair overheating damage, improves the styling effect, but also intelligently adjusts the sampling frequency according to the system state to optimize energy consumption, and ensures the optimal matching of air volume and heat through the fan coordination unit, ultimately improves the temperature control quality and hair protection effect, and also enhances the energy efficiency and adaptive ability of the system. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 The structure block diagram of the hot air comb double-zone constant temperature control system based on temperature sensing is provided in some embodiments of the present application.

[0045] Figure 2 The structure block diagram of the hot air comb double-zone constant temperature control system based on temperature sensing including a fan coordination unit is provided in some embodiments of the present application.

[0046] Figure 3 The structure schematic diagram of the computer readable storage medium in the present application.

[0047] The figure label is:

[0048] 500-electronic device; 501-bus; 502-CPU; 503-ROM; 504-RAM; 505-communication port; 506-input / output component; 507-hard disk; 508-user interface; 600-computer readable storage medium. DETAILED DESCRIPTION

[0049] The following description is used to disclose the present application so that those skilled in the art can implement the present application. The preferred embodiments in the following description are only as examples, and those skilled in the art can think of other obvious variations.

[0050] Referring to Figure 1 As shown in the figure, a hot air comb double-zone constant temperature control system based on temperature sensing includes:

[0051] Temperature monitoring module: the temperature monitoring module includes at least two temperature sensors arranged inside the heating area of the hot air comb, for collecting real-time temperature data of the hot air comb in real time. By integrating independent temperature sensors inside physically separated different heating areas, the real and local temperature information of each region can be obtained, rather than the average or single-point temperature of the entire device. This distributed measurement method provides necessary data input for subsequent differentiated independent control;

[0052] The control core module is in communication connection with the temperature monitoring module, and includes a region identification unit and a temperature control unit. As the "brain" of the entire control system, it is responsible for information processing and decision-making. It not only receives raw physical temperature data, but also interprets and uses these data through internal functional units. The region identification unit gives the physical heating region an "identity" in terms of control strategy, and the temperature control unit is the executor of the core algorithm. Integrating the two in the control core module realizes efficient cooperation of data flow and control logic, ensuring the real-time and consistency of system response;

[0053] The region identification unit is used to assign region characteristic tags to different heating regions of the hot air comb, including tags for identifying sensitive regions that require high-precision temperature control and tags for identifying standard regions that allow standard temperature control, introducing the concept of "differentiation" of intelligent control strategy. By assigning "sensitive region" or "standard region" characteristic tags to different regions, the system can identify parts that need to be protected (such as the hair tip region that is easily damaged) and parts that are more tolerant. This provides a basis for the temperature control unit to adopt different control strategies with different strictness, so that system resources (such as control precision and calculation frequency) can be allocated to the most needed regions, thereby optimizing overall performance;

[0054] The temperature control unit is used to collect real-time temperature data and independently perform the following operations for each region: compare the real-time temperature data with the preset target temperature to generate a temperature error signal, determine the current control state based on the size of the temperature error signal, the change trend, and the characteristic tag of the region, which embodies the "adaptive" intelligence of the system. It not only compares the error, but also considers the instantaneous size of the error, the dynamic change trend, and the inherent characteristics of the region to diagnose the current working condition. This multi-factor state determination method enables the control system to better understand the nature of the current temperature condition, providing accurate and targeted decision-making basis for dynamically adjusting control parameters, and overcoming the limitations of traditional fixed parameter control;

[0055] According to the determined control state, the control parameters and temperature data acquisition frequency of the region are dynamically adjusted, and a control signal for adjusting the power of the heater is calculated. According to the determined control state, the "character" of the control algorithm is dynamically switched, for example, fast-responding parameters are used when the temperature changes rapidly, and robust parameters are switched to prevent overshoot when approaching the target temperature. At the same time, the sampling frequency is intelligently adjusted, increasing when needed to capture details, and decreasing when stable to save energy. This "timely" strategy ensures that the control system can have rapidity, stability, and high efficiency under different working conditions;

[0056] The drive execution module communicates with the control core module. Based on the received control signals, the drive execution module adjusts the power of the heating elements in the corresponding areas through independent power channels, achieving differentiated adaptive constant temperature control for different areas. This translates control decisions into physical actions. The core of this module lies in the "independent power channels," meaning that the power of each heating area can be adjusted independently and without coupling. The differentiated control signals calculated by the control core module are physically realized through this module, ultimately transforming into specific effects such as precise and gentle heating of sensitive areas and rapid and efficient heating of standard areas. This provides the final hardware support for the entire "differentiated adaptive constant temperature control" closed loop.

[0057] The workflow of the above system is as follows:

[0058] When the hot air comb is in use, the temperature monitoring module collects the real-time temperature data of the hot air comb through the temperature sensor set inside the heating area of ​​the hot air comb, and sends it to the temperature control unit.

[0059] The temperature control unit compares the real-time temperature data with the preset target temperature, generates a temperature error signal, and determines its current control state based on the magnitude and trend of the temperature error signal and the characteristic label of the area.

[0060] The temperature control unit dynamically adjusts the control parameters and temperature data acquisition frequency of the area according to the determined control state, calculates the control signal for adjusting the heater power, and feeds back the temperature data acquisition frequency to the temperature monitoring module.

[0061] The drive execution module adjusts the power of the heating element in the corresponding area through an independent power channel according to the received control signal, so as to realize differentiated adaptive constant temperature control for different areas.

[0062] Specifically, assigning area characteristic labels to different heating zones of the hot air comb includes the following three mechanisms:

[0063] During system initialization, pre-allocation is performed based on the physical structure of the hot air comb, with the tip area marked as the sensitive area by default and the root area marked as the standard area by default.

[0064] By connecting to smart terminals, a user interface is provided to receive user instructions to manually designate specific areas as sensitive or standard areas.

[0065] Through a self-learning mechanism, the temperature stability of each region under constant temperature conditions is continuously monitored. When the standard deviation of temperature fluctuation in a certain region continues to exceed the preset threshold, its characteristic label is automatically updated to a sensitive region.

[0066] The feature tag allocation mechanism constructs a multi-layered, intelligent decision-making system. Firstly, based on common-sense product design principles, it provides reliable default settings, ensuring basic optimization for immediate use. Secondly, through the user interface, it respects individual differences, giving the system the flexibility for personalized customization. Finally, the self-learning mechanism introduces dynamic evolution capabilities, enabling the system to transcend preset rules and self-optimize based on actual operating data, such as temperature control performance changes caused by wear and tear or user habits. These three mechanisms are not isolated but complementary, jointly ensuring the accuracy and adaptability of regional feature tags, providing a solid and dynamically optimized strategic foundation for subsequent differentiated control.

[0067] This gives the hot air brush's temperature control system a comprehensive capability combining basic optimization, personalized customization, and continuous self-optimization. The benefits are specifically reflected in the following: First, through initial pre-assignment, users can obtain basic protection for different areas without complex settings, improving product safety and ease of use. Second, by supporting manual user specification, it meets the specific needs of individual users, such as focusing on treating a specific section of damaged hair, enhancing product applicability and user experience. Finally, by introducing a self-learning mechanism, the system can automatically identify and mark areas exhibiting unstable temperatures during actual use, thereby dynamically improving the temperature control accuracy of those areas, enhancing the product's adaptability to performance changes over long-term use, as well as its overall robustness and intelligence.

[0068] Furthermore, the real-time temperature data is compared with the preset target temperature to generate a temperature error signal. Based on the magnitude and trend of the temperature error signal, as well as the characteristic label of the region, the current control state is determined, specifically including:

[0069] Calculate the current temperature error e(k) in real time. ,in, For the target temperature, Real-time temperature;

[0070] Preset first error threshold Second error threshold and the standard deviation threshold of fluctuation ,in > ;

[0071] Perform multi-level state determination:

[0072] like If so, it is determined to be a rapidly changing state;

[0073] like If so, it is determined to be a standard isothermal state;

[0074] like Then, the standard deviation σ of N consecutive temperature data collections is further calculated. If it is determined to be a wave suppression state, then it is considered a wave suppression state. Furthermore, if the region's feature label indicates a sensitive region, it is classified as a high-precision state. If the characteristic label of this area is a standard area, it is determined to be a standard isothermal state, and N is the preset steady-state determination number.

[0075] A refined, multi-factor decision-making logic process was constructed. It doesn't simply rely on a single instantaneous value of temperature error, but rather integrates three dimensions for collaborative judgment: the absolute value of the error, its dynamic characteristics, and the characteristic labels of the region. This multi-level criterion structure enables the system to clearly distinguish several key operating conditions: the "rapid change state" with significant deviations from the target, the "standard isothermal state" where the target is basically met, the "fluctuation suppression state" with abnormal fluctuations, and the "high-precision state" requiring extreme stability in critical areas. In particular, by introducing standard deviation calculation and region label judgment, the system can intelligently identify situations where the absolute value of the error is small but unstable oscillations exist, or where more stringent measures need to be taken in advance. This provides accurate and reliable state input for subsequent implementation of differentiated adaptive control strategies.

[0076] This achieves a targeted control strategy, thereby comprehensively improving the overall control performance of the system. By accurately classifying complex temperature conditions into different control states, the system can apply the most suitable control parameters to each state. For example, in the "rapid change state," priority is given to ensuring response speed, while in the "fluctuation suppression state" and "high precision state," stability is prioritized to suppress fluctuations. Compared to traditional fixed parameter control, this state-based adaptive mechanism can reach the target temperature faster during the heating phase and significantly reduce temperature fluctuations during the constant temperature phase. Especially in sensitive areas, it effectively prevents temperature overshoot, thereby improving heating efficiency while greatly enhancing hair protection and improving the user experience. Ultimately, it enables the hot air comb to exhibit superior dynamic response, steady-state accuracy, and robustness in different usage scenarios.

[0077] Based on the determined control state, dynamically adjusting the control parameters for this region specifically includes:

[0078] Different sets of proportional, integral, and derivative control parameters are preset for the rapid change state, the standard isothermal state, the fluctuation suppression state, and the high-precision state, respectively;

[0079] Based on the determined control state, the corresponding proportional, integral, and derivative control parameter sets are called to calculate the current control signal output;

[0080] Under the same control conditions, the parameter set assigned to the sensitive region with the characteristic label has a stronger differential control effect compared to the parameter set assigned to the standard region, aiming to prioritize the suppression of temperature overshoot and fluctuations.

[0081] The essence of the dynamic adjustment mechanism is to enable the PID controller to have "multi-mode" adaptive capabilities. By pre-setting optimized parameter sets for four typical operating conditions—rapid change, standard isostatic temperature, fluctuation suppression, and high precision—the system can intelligently switch between different control objectives. For example, in the "rapid change state," parameters emphasizing proportional action and weakening integral action are used to achieve rapid response; in the "fluctuation suppression state" or "high precision state," parameters enhancing integral and derivative action are used to prioritize stability. Crucially, this design further refines the "regional characteristic label" level: even under the same macroscopic control state, a parameter set with stronger derivative action is assigned to the "sensitive region." Derivative control can predict temperature change trends, thus acting in advance to suppress overshoot and fluctuations. This means the system applies more "cautious" and "proactive" control to the sensitive region, fine-tuning before its temperature deviates significantly, thus providing a core algorithmic guarantee for achieving higher-precision temperature stability and superior hair protection.

[0082] Based on the determined control status, dynamically adjusting the temperature data acquisition frequency for this area specifically includes:

[0083] When the control state is determined to be a rapidly changing state or a fluctuation suppression state, the temperature data acquisition frequency of the corresponding area is increased to the first high frequency value;

[0084] When the control state is determined to be a high-precision state, maintain or increase its sampling frequency to a first high-frequency value or a higher second high-frequency value.

[0085] When the control state is determined to be a standard constant temperature state and the temperature error is stable within the preset range, the sampling frequency is adjusted to the standard frequency value.

[0086] When the system is in standby or running at low temperatures, the acquisition frequency of all areas is uniformly reduced to the energy-saving frequency value.

[0087] The mechanism of dynamically adjusting the sampling frequency makes the system's data acquisition behavior no longer fixed, but tightly coupled with the real-time requirements of the control state. When the system faces dynamic challenges, such as rapid temperature rise requiring close tracking, or fluctuations requiring fine suppression, by increasing the sampling frequency to the highest possible value, the system can acquire more dense temperature change data, thus providing the control algorithm with more timely and richer decision-making basis, enhancing the system's response speed and control accuracy. Conversely, when the system is operating stably or in a low-power condition, the sampling frequency is proactively reduced to the standard or energy-saving value, effectively reducing the computational load on the core control module and lowering the power consumption of sensors and related circuits. This mechanism of allocating sampling resources on demand optimizes the overall energy efficiency of the system without sacrificing control performance in critical stages, achieving an intelligent balance between control accuracy and energy consumption.

[0088] Reference Figure 2 As shown, in some preferred embodiments, the control core module further includes a fan coordination unit, which is configured to determine the target fan speed based on the highest or weighted average of the target temperatures across all regions. Specifically, this includes:

[0089] Based on the highest or weighted average of the target temperature in all regions, query the preset "temperature-speed" curve to obtain the precise fan speed setpoint;

[0090] The control fan drive circuit can steplessly adjust the actual speed of the fan to the set point to achieve matching of air volume and heat.

[0091] The design of the fan-coordinated unit embodies a system-level holistic thermal management approach. Instead of controlling the heating element in isolation, the fan output is treated as a control variable of equal importance to the heating power. By determining the fan speed based on the highest or weighted average of the target temperatures across all zones, this unit ensures that the airflow supply matches the maximum or average heat load required by the current system. Referencing a preset "temperature-speed" curve is an efficient and reliable method. This curve, typically pre-calibrated based on duct thermodynamic models and experimental data, directly maps the optimal airflow required for a specific temperature setting. Ultimately, stepless adjustment precisely controls the fan speed at the setpoint, achieving proactive and accurate matching of airflow and heat, providing crucial environmental protection for stable temperature control at the system level.

[0092] The introduction of the fan-assisted unit enhances the temperature control quality, energy efficiency, and user experience of the entire hot air comb system. Firstly, by actively matching airflow and heat, it ensures that the generated heat is delivered promptly and evenly, effectively preventing heat buildup in the heating chamber that could lead to localized overheating or delayed temperature response, thus directly improving the temperature stability and consistency of each heating zone. Secondly, it avoids energy waste caused by the fan running at high speed at low temperature settings and insufficient airflow when high airflow is needed, optimizing overall energy efficiency. Finally, stable airflow and heat matching results in a more uniform styling effect, reducing stress damage to hair caused by sudden changes in airflow or temperature. The smooth, stepless speed regulation also helps reduce operating noise, improving the user experience in multiple ways.

[0093] It is understandable that the aforementioned temperature-sensing-based dual-zone constant temperature control system for hot air combs is mounted on the hot air comb and used to control the operation of hot air combs with independent control of multiple zones.

[0094] Figure 3 This is a schematic diagram of a computer-readable storage medium structure provided in one embodiment of this application. Figure 3 The diagram illustrates a computer-readable storage medium 600 according to one embodiment of this application. The computer-readable storage medium 600 stores computer-readable instructions. When executed by a processor, the computer-readable instructions can drive the operation of a temperature-sensing-based dual-zone constant temperature control system for a hot air comb according to an embodiment of this application, as described above. The computer-readable storage medium 600 includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0095] In summary, the advantages of this invention are as follows: By setting up independent constant temperature control in two zones and introducing a multi-state intelligent judgment mechanism based on the magnitude, trend, and regional characteristic labels of temperature error signals, the PID control parameters and temperature acquisition frequency of each zone can be dynamically adjusted, thereby achieving differentiated, adaptive, and precise temperature control for different heating zones. This not only effectively solves the problem of uneven heat distribution caused by the physical structure of the hot air comb, significantly improving the temperature control accuracy and stability of the sensitive tip area, avoiding overheating damage to the hair, and improving the styling effect, but also intelligently adjusts the sampling frequency according to the system status to optimize energy consumption, and ensures the best match between airflow and heat through the fan coordination unit. Ultimately, while improving temperature control quality and hair protection, it also enhances the system's energy efficiency and adaptability.

[0096] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A dual-zone constant temperature control system for a hot air comb based on temperature sensing, characterized in that, include: Temperature monitoring module: The temperature monitoring module includes at least two temperature sensors disposed inside the heating area of ​​the hot air comb, for real-time acquisition of the real-time temperature data of the hot air comb; A control core module, which is communicatively connected to the temperature monitoring module, includes a region identification unit and a temperature control unit; The area identification unit is used to assign area characteristic labels to different heating areas of the hot air comb. The labels include sensitive areas that require high-precision temperature control and standard areas that allow standard temperature control. The temperature control unit is used to receive the real-time temperature data and independently perform the following operations for each region: compare the real-time temperature data with a preset target temperature, generate a temperature error signal, and determine the current control state based on the magnitude and trend of the temperature error signal and the characteristic label of the region. Based on the determined control state, the control parameters and temperature data acquisition frequency of the area are dynamically adjusted, and the control signal used to adjust the heater power is calculated. The drive execution module is communicatively connected to the control core module. Based on the received control signal, the drive execution module adjusts the power of the heating element in the corresponding area through an independent power channel to achieve differentiated adaptive constant temperature control for different areas.

2. The dual-zone constant temperature control system for a hot air comb based on temperature sensing according to claim 1, characterized in that, The specific details of assigning area characteristic labels to different heating zones of the hot air comb include: During system initialization, pre-allocation is performed based on the physical structure of the hot air comb, with the tip area marked as a sensitive area by default and the root area marked as a standard area by default. The connection with the smart terminal provides a user interface to receive user instructions to manually designate a specific area as the sensitive area or the standard area. Through a self-learning mechanism, the temperature stability of each region under constant temperature conditions is continuously monitored. When the standard deviation of temperature fluctuation in a certain region continues to exceed the preset threshold, its characteristic label is automatically updated to a sensitive region.

3. The dual-zone constant temperature control system for a hot air comb based on temperature sensing according to claim 2, characterized in that, The step of comparing the real-time temperature data with a preset target temperature to generate a temperature error signal, and determining the current control state based on the magnitude, trend, and characteristic label of the temperature error signal specifically includes: Calculate the current temperature error e(k) in real time. ,in, For the target temperature, Real-time temperature; Preset first error threshold Second error threshold and the standard deviation threshold of fluctuation ,in > ; Perform multi-level state determination: like If so, it is determined to be a rapidly changing state; like If so, it is determined to be a standard isothermal state; like Then, the standard deviation σ of N consecutive temperature data collections is further calculated. If it is determined to be a wave suppression state, then it is considered a wave suppression state. Furthermore, if the region's feature label indicates a sensitive region, it is classified as a high-precision state. If the characteristic label of this area is a standard area, it is determined to be a standard isothermal state, and N is the preset steady-state determination number.

4. The dual-zone constant temperature control system for a hot air comb based on temperature sensing according to claim 3, characterized in that, Based on the determined control state, dynamically adjusting the control parameters for this region specifically includes: Different sets of proportional, integral, and derivative control parameters are preset for the rapid change state, the standard isothermal state, the fluctuation suppression state, and the high-precision state, respectively; Based on the determined control state, the corresponding proportional, integral, and derivative control parameter sets are called to calculate the current control signal output; Under the same control state, the parameter set assigned to the sensitive region with the characteristic label has a stronger differential control effect compared to the parameter set assigned to the standard region, aiming to preferentially suppress temperature overshoot and fluctuation.

5. The dual-zone constant temperature control system for a hot air comb based on temperature sensing according to claim 4, characterized in that, The step of dynamically adjusting the temperature data acquisition frequency of the area based on the determined control state specifically includes: When the control state is determined to be a rapidly changing state or a fluctuation suppression state, the temperature data acquisition frequency of the corresponding area is increased to the first high frequency value; When the control state is determined to be a high-precision state, maintain or increase its sampling frequency to a first high-frequency value or a higher second high-frequency value. When the control state is determined to be a standard constant temperature state and the temperature error is stable within the preset range, the sampling frequency is adjusted to the standard frequency value. When the system is in standby or running at low temperatures, the acquisition frequency of all areas is uniformly reduced to the energy-saving frequency value.

6. The dual-zone constant temperature control system for a hot air comb based on temperature sensing according to claim 1, characterized in that, The control core module also includes a fan coordination unit, which is configured to determine the target fan speed based on the highest or weighted average of the target temperatures across all regions. Specifically, this includes: Based on the highest or weighted average of the target temperature in all regions, query the preset "temperature-speed" curve to obtain the precise fan speed setpoint; The control fan drive circuit can steplessly adjust the actual speed of the fan to the set point to achieve matching of air volume and heat.

7. A dual-zone constant temperature control system for a hot air comb based on temperature sensing according to any one of claims 1-6, characterized in that, The system operates as follows: When the hot air comb is started, the temperature control unit calls the area identification unit to obtain the area characteristic labels of different heating areas of the hot air comb. When the hot air comb is in use, the temperature monitoring module collects the real-time temperature data of the hot air comb through the temperature sensor set inside the heating area of ​​the hot air comb, and sends it to the temperature control unit. The temperature control unit compares the real-time temperature data with the preset target temperature, generates a temperature error signal, and determines its current control state based on the magnitude and trend of the temperature error signal and the characteristic label of the area. The temperature control unit dynamically adjusts the control parameters and temperature data acquisition frequency of the area according to the determined control state, calculates the control signal for adjusting the heater power, and feeds back the temperature data acquisition frequency to the temperature monitoring module. The drive execution module adjusts the power of the heating element in the corresponding area through an independent power channel according to the received control signal, so as to realize differentiated adaptive constant temperature control for different areas.

8. A hot air comb, characterized in that, It has a built-in dual-zone constant temperature control system for hot air comb based on temperature sensing as described in any one of claims 1-7.

9. A computer-readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by the processor, they drive the operation of the dual-zone constant temperature control system for hot air comb based on temperature sensing, as described in any one of claims 1-7.

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