Multifunctional EMC filtering blower power line adaptation system

Abstract

The invention discloses a multifunctional EMC filtering blower power line adaptation system which comprises an EMC filtering module, a power supply adaptation module, a safety protection module and a control module. The EMC filtering module is used for inhibiting conduction and radiation of electromagnetic interference (EMI); the power supply adaptation module is used for adapting to different power supply standards and stabilizing output voltage; the control module is used for realizing intelligent control and remote operation; and the safety protection module is used for monitoring current, voltage and temperature and cutting off a power supply under an abnormal condition. By integrating a plurality of modules and adopting a multi-stage filtering structure, conduction and radiation of electromagnetic interference are inhibited, stable operation of equipment in an electromagnetic environment is ensured, on one hand, the influence of electromagnetic interference on other electronic equipment is reduced, on the other hand, the electromagnetic compatibility of the blower is improved, the blower meets the international standard, a user can conveniently use the blower in different regions, and the practicability is high. And meanwhile, stable output voltage is provided, so that the normal work of the blower under different loads is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and more particularly to a multifunctional EMC filtering hair dryer power cord adaptation system. Background Art

[0002] Hair dryers are common household appliances, primarily used to quickly dry and style hair by blowing hot or cold air. They typically consist of a motor, heating element, fan, and control system, and are powered by a mains. Due to their convenience and efficiency, hair dryers have become an essential tool for daily beauty and grooming. However, hair dryers also face challenges related to electromagnetic compatibility (EMC) and power supply compatibility.

[0003] First, the motor and heating element inside the hair dryer generate electromagnetic interference (EMI) when in operation. This interference can be conducted through the power line to the power grid, affecting the normal operation of other electronic devices, such as causing TV signal distortion, radio noise, or unstable Wi-Fi signals. In addition, hair dryers may also be affected by external electromagnetic interference. For example, in places with complex electromagnetic environments such as industrial areas or near radio transmission towers, their performance may become unstable, or even abnormal shutdown or malfunction.

[0004] Secondly, power supply compatibility is a common problem with hair dryers. Power standards vary across regions. If a hair dryer doesn't have wide voltage adaptability, users may need an additional transformer when using it in different regions. Failure to do so could cause the device to malfunction or even be damaged. Furthermore, power supply voltage fluctuations (such as unstable grid voltage or sudden voltage spikes) can negatively impact the performance and lifespan of the hair dryer. Therefore, we propose a multifunctional EMC-filtering hair dryer power line adapter system. Summary of the Invention

[0005] An object of the present invention is to provide a new technical solution for a multifunctional EMC filtering hair dryer power cord adapter system.

[0006] According to a first aspect of the present invention, there is provided a multifunctional EMC filter hair dryer power line adaptation system, comprising an EMC filter module, a power adapter module, a safety protection module and a control module; The EMC filter module is used to suppress the conduction and radiation of electromagnetic interference EMI; The power adapter module includes a wide voltage input circuit, a rectifier, a voltage stabilizer, and a transformer, and is used to adapt to different power supply standards and stabilize the output voltage. Control module: includes microcontroller MCU and communication module, used to realize intelligent control and remote operation; The safety protection module includes sensors and actuators, which are used to monitor current, voltage and temperature and cut off power supply in abnormal situations.

[0007] Optionally, the EMC filter module includes an inductor, a capacitor, a resistor, a common-mode choke, and a differential-mode capacitor; The EMC filter module adopts a multi-stage filter structure; The filtering structure includes: power output end filtering, motor drive circuit filtering, heating element circuit filtering, and power output end filtering.

[0008] Optionally, the working process of the power adapter module is: 1) The wide voltage input circuit recognizes and adapts to different input voltage ranges. The input AC power passes through the rectifier and uses the bridge rectifier circuit to convert the positive and negative half cycles of the AC power into DC power. 2) The rectified DC power passes through the filter circuit to bypass the high-frequency noise to the ground; 3) Based on the equipment requirements, the voltage is converted to an adaptive value through a transformer and input into the voltage regulator, which dynamically adjusts the output voltage according to load changes; 4) The regulated pure DC power supply is connected to the device through the output interface.

[0009] Optionally, the working process of the microcontroller MCU of the control module is specifically as follows: 1) The MCU receives the equipment operation data collected by the sensor in real time; 2) MCU pre-processes the collected data and determines whether the device is in normal working condition; 3) Analyze data results, combine machine learning algorithms, generate control instructions, and adjust the working status of the equipment; 4) MCU sends control instructions to the execution element.

[0010] Optionally, the preprocessing and analysis of the collected data specifically includes: The MCU receives the analog signal from the sensor and converts it into a digital signal through the MCU's built-in analog-to-digital converter ADC; The noise in the digital signal is removed through the built-in filtering algorithm of the MCU, the digital signal is calibrated according to the characteristics of the sensor, and finally the digital signal is converted into an adaptive format; Set current, voltage, and temperature thresholds based on the equipment's safe operating range; Compare the collected data with the set threshold and mark the status; If the current value exceeds the threshold, it is judged as an overload state; If the voltage value exceeds the threshold, it is judged as an overvoltage state; If the temperature exceeds the threshold, it is judged as overheating.

[0011] Optionally, the machine learning algorithm is specifically: Collect data: Get real-time status data of the device, including current, voltage, and temperature; Feature extraction: extract key features from the acquired data as input to the machine learning model; Status prediction: The machine learning model predicts the operating status of the equipment based on real-time data changes; Generate control instructions: Based on the prediction results, the MCU generates corresponding control instructions.

[0012] Optionally, the key features include real-time data values, value change rates, value fluctuation amplitudes, value change trends, and value historical peak values.

[0013] Optionally, the algorithm formula for predicting the operating status of the device is: in: is the predicted state; is the eigenvector; is the Softmax function; is the LeakyReLU function; is the weight matrix from the input layer to the hidden layer; is the weight matrix from the hidden layer to the output layer; are the bias vectors of the hidden layer and the output layer respectively.

[0014] Optionally, the feature vector Specifically: in: is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; The activation function is specifically: in: is the input value of the hidden layer, ; The specific function is: convert the value of the output layer into a probability distribution; in: is the input value of the output layer, and the calculation formula is: is the result of linear transformation, which represents the weighted sum of hidden layer output and weight.

[0015] Optionally, the security protection module is specifically: Collect the current, voltage and temperature data of the equipment in real time through current sensors, voltage sensors and temperature sensors; If the current exceeds the threshold, the overload protector will immediately start and cut off the power supply; If the voltage is abnormal, the protection circuit will be triggered to cut off the power supply; If the temperature exceeds the safety threshold, the power supply will be cut off and an alarm will be issued; The executive elements include relays, circuit breakers, alarms and radiators.

[0016] According to one embodiment of the present disclosure, a multifunctional EMC filter hair dryer power cord adapter system integrates an EMC filter module, a power adapter module, a safety protection module, and a control module to achieve protection and intelligent management of the hair dryer's power cord. First, the EMC filter module uses a multi-stage filtering structure to suppress the conduction and radiation of electromagnetic interference, ensuring the stable operation of the device in the electromagnetic environment. On the one hand, it reduces the impact of electromagnetic interference on other electronic devices, and on the other hand, it improves the electromagnetic compatibility of the hair dryer to make it comply with international standards. Second, the power adapter module supports power supply standards, facilitating user use in different regions, while providing a stable output voltage to ensure the normal operation of the hair dryer under different loads.

[0017] In addition, the microcontroller MCU receives sensor data in real time, combines machine learning algorithms to analyze device status and generate control instructions, realizing intelligent management. The safety protection module monitors device status in real time through current sensors, voltage sensors and temperature sensors, and cooperates with the actuators to respond quickly to ensure device safety, effectively prevent equipment damage due to overload, overvoltage or overheating, and avoid dangerous situations such as fire.

[0018] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0020] Figure 1 A schematic diagram of the framework structure of a multifunctional EMC filter hair dryer power cord adaptation system in one embodiment; Figure 2 A power adapter control block diagram of a multifunctional EMC filter hair dryer power cord adapter system in another embodiment; Figure 3 This is a schematic diagram of the microcontroller MCU workflow of a multifunctional EMC filtering hair dryer power cord adaptation system in another embodiment. DETAILED DESCRIPTION

[0021] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention.

[0022] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0023] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0024] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0025] like Figure 1-2 As shown, a multifunctional EMC filter hair dryer power line adapter system includes an EMC filter module, a power adapter module, a safety protection module and a control module; The EMC filter module is used to suppress the conduction and radiation of electromagnetic interference EMI; The power adapter module includes a wide voltage input circuit, a rectifier, a voltage stabilizer, and a transformer, and is used to adapt to different power supply standards and stabilize the output voltage. Control module: includes microcontroller MCU and communication module, used to realize intelligent control and remote operation; The safety protection module includes sensors and actuators, which are used to monitor current, voltage and temperature and cut off power supply in abnormal situations.

[0026] Furthermore, when in use, the EMC filter module: after the power is input, it first passes through the EMC filter module, which suppresses the conduction and radiation of electromagnetic interference (EMI) through components such as inductors, capacitors, and common-mode chokes, ensuring stable operation of the device in an electromagnetic environment; Power adapter module: The filtered power enters the power adapter module, where the wide-voltage input circuit recognizes and adapts to different input voltage ranges. The rectifier converts AC power to DC power, and the filter circuit further removes high-frequency noise. The transformer adjusts the voltage to the adapted value, and the voltage regulator dynamically adjusts the output voltage based on load changes to ensure stable power supply. Control module: The microcontroller (MCU) receives real-time device operation data from sensors. The MCU analyzes and processes the data to determine whether the device is in normal working condition. Combined with machine learning algorithms, the MCU generates control instructions to adjust the device's working status and enables remote operation and monitoring through the communication module. Safety protection module: Current sensors, voltage sensors, and temperature sensors monitor the device status in real time. When the current is overloaded, the voltage is abnormal, or the temperature is too high, the MCU triggers the actuator (such as a relay or circuit breaker) to cut off the power supply and activate the alarm to sound an alarm to ensure device safety.

[0027] Specifically, the EMC filter module includes an inductor, a capacitor, a resistor, a common-mode choke, and a differential-mode capacitor; The EMC filter module adopts a multi-stage filter structure; The filtering structure includes: power output end filtering, motor drive circuit filtering, heating element circuit filtering, and power output end filtering.

[0028] Furthermore, the main function of power supply output filtering is to ensure the output power is pure and stable, and to reduce the impact of high-frequency noise on subsequent circuits. Common-mode noise (i.e., noise between the power line and the ground line) is suppressed by using a common-mode choke, and differential-mode noise (i.e., noise between the power lines) is filtered out by combining differential-mode capacitors. At the same time, an LC filter circuit is formed by using inductors and capacitors to further filter out high-frequency interference. The main purpose of motor drive circuit filtering is to reduce electromagnetic interference generated by the motor during operation and protect the motor drive circuit from external interference. Common-mode chokes are used to suppress common-mode noise in the motor drive circuit, and differential-mode capacitors are used to filter out differential-mode noise. An RC filter circuit consisting of resistors and capacitors is also added to absorb transient interference generated when the motor starts and stops. The main function of the heating element circuit filter is to reduce the high-frequency noise generated by the heating element during operation, while preventing external interference from affecting the normal operation of the heating element. Common-mode noise in the heating element circuit is suppressed by using a common-mode choke, and differential-mode capacitors are used to filter out differential-mode noise. At the same time, an LC filter circuit consisting of inductors and capacitors is added to absorb transient interference generated when the heating element is turned on and off. The primary purpose of power input filtering is to reduce electromagnetic interference from the external power grid that enters the device, while also preventing interference generated by the device from being fed back into the power grid. Common-mode chokes are used to suppress common-mode noise at the power input, while differential-mode capacitors are used to filter differential-mode noise. Furthermore, an LC filter circuit, composed of inductors and capacitors, further filters high-frequency interference. This ensures that the device is immune to external power grid interference, prevents device interference with the power grid, and improves its electromagnetic compatibility.

[0029] Specifically, the working process of the power adapter module is as follows: 1) The wide voltage input circuit recognizes and adapts to different input voltage ranges. The input AC power passes through the rectifier and uses the bridge rectifier circuit to convert the positive and negative half cycles of the AC power into DC power. 2) The rectified DC power passes through the filter circuit to bypass the high-frequency noise to the ground; 3) Based on the equipment requirements, the voltage is converted to an adaptive value through a transformer and input into the voltage regulator, which dynamically adjusts the output voltage according to load changes; 4) The regulated pure DC power supply is connected to the device through the output interface.

[0030] Furthermore, the wide-voltage input circuit can identify and adapt to different input voltage ranges, making the device universally compatible without the need for an additional adapter, greatly improving user convenience. Secondly, the rectifier and filter circuit convert AC power into pure DC power, effectively filtering out high-frequency noise, ensuring the stability of the power output, and reducing interference with the device's internal circuitry. Furthermore, the transformer and voltage regulator dynamically adjust the output voltage based on device requirements, maintaining stability under varying loads and preventing device damage or performance degradation due to voltage fluctuations. Finally, the regulated, pure DC power supply is connected to the device through the output interface, providing efficient and reliable power support.

[0031] Specifically, the working process of the microcontroller MCU of the control module is as follows: 1) The MCU receives the equipment operation data collected by the sensor in real time; 2) MCU pre-processes the collected data and determines whether the device is in normal working condition; 3) Analyze data results, combine machine learning algorithms, generate control instructions, and adjust the working status of the equipment; 4) MCU sends control instructions to the execution element.

[0032] Furthermore, the MCU receives real-time data collected by sensors on equipment operation, ensuring comprehensive monitoring of equipment status and providing data support for subsequent analysis. Secondly, the MCU pre-processes the collected data to quickly determine whether the equipment is in normal working condition, promptly identifying potential problems and avoiding equipment failure or damage. In addition, the MCU combines machine learning algorithms to analyze data, predict equipment operating trends, and generate optimized control instructions to dynamically adjust equipment operating status and improve operating efficiency and performance. Finally, the MCU sends the control instructions to the actuator to achieve fast response and precise control, ensuring safe and stable operation of the equipment.

[0033] Specifically, the preprocessing and analysis of the collected data are as follows: The MCU receives the analog signal from the sensor and converts it into a digital signal through the MCU's built-in analog-to-digital converter ADC; The noise in the digital signal is removed through the built-in filtering algorithm of the MCU, the digital signal is calibrated according to the characteristics of the sensor, and finally the digital signal is converted into an adaptive format; Set current, voltage, and temperature thresholds based on the equipment's safe operating range; Compare the collected data with the set threshold and mark the status; If the current value exceeds the threshold, it is judged as an overload state; If the voltage value exceeds the threshold, it is judged as an overvoltage state; If the temperature exceeds the threshold, it is judged as overheating.

[0034] Furthermore, the MCU can ensure the accuracy and processability of data through the built-in analog-to-digital converter (ADC). Secondly, the filtering algorithm removes noise and calibrates according to the sensor characteristics, further improving the reliability of the data and avoiding misjudgments. Furthermore, by setting current, voltage, and temperature thresholds based on the device's safe operating range, the system can monitor device status in real time and detect abnormalities promptly. By comparing collected data with thresholds and marking the status, the MCU can quickly determine whether the device is overloaded, overvoltage, or overheated, and take appropriate protective measures.

[0035] Specifically, the machine learning algorithm is: Collect data: Get real-time status data of the device, including current, voltage, and temperature; Feature extraction: extract key features from the acquired data as input to the machine learning model; Status prediction: The machine learning model predicts the operating status of the equipment based on real-time data changes; Generate control instructions: Based on the prediction results, the MCU generates corresponding control instructions.

[0036] Specifically, the key features include real-time data values, value change rate, value fluctuation range, value change trend and value historical peak value.

[0037] Furthermore, by acquiring real-time equipment status data, the system can comprehensively monitor the equipment's operation, providing a reliable basis for continuous analysis. Secondly, by obtaining key features based on multiple sets of data, it provides a data foundation for subsequent predictions and predicts equipment operating trends in advance, such as predicting potential overload, overvoltage, or overheating risks, thereby achieving proactive prevention. Finally, the MCU generates corresponding control instructions based on the prediction results, dynamically adjusts the working status of the equipment, optimizes performance and avoids failures.

[0038] Specifically, the algorithm formula for predicting the operating status of the device is: in: is the predicted state; is the eigenvector; is the Softmax function; is the LeakyReLU function; is the weight matrix from the input layer to the hidden layer; is the weight matrix from the hidden layer to the output layer; are the bias vectors of the hidden layer and the output layer respectively.

[0039] Specifically, the feature vector Specifically: in: is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; The activation function is specifically: in: is the input value of the hidden layer, ; described The specific function is: convert the value of the output layer into a probability distribution; in: is the input value of the output layer, and the calculation formula is: is the result of linear transformation, which represents the weighted sum of hidden layer output and weight.

[0040] Furthermore, first, the activation function is replaced from traditional ReLU to LeakyReLU to prevent the problem of neuron death caused by ReLU outputting 0 when the input is negative. At the same time, LeakyReLU outputs a small slope (such as 0.01z) when the input is negative, ensuring that all neurons can participate in training, thereby improving the robustness and expressiveness of the model; Secondly, we added interactive features to the input features, such as the product of temperature and current, and the product of voltage and current. These interactive features can capture the nonlinear relationships between features, helping the model to better understand the inherent patterns of the data. By introducing these features, the model's prediction accuracy is improved. In summary, these improvements enable the model to achieve high-precision and high-efficiency real-time prediction in the hair dryer power cord adaptation monitoring system, while also having better stability, generalization ability, and applicability.

[0041] Specifically, the security protection module is: Collect the current, voltage and temperature data of the equipment in real time through current sensors, voltage sensors and temperature sensors; If the current exceeds the threshold, the overload protector will immediately start and cut off the power supply; If the voltage is abnormal, the protection circuit will be triggered to cut off the power supply; If the temperature exceeds the safety threshold, the power supply will be cut off and an alarm will be issued; The executive elements include relays, circuit breakers, alarms and radiators.

[0042] Furthermore, the motor operating current is collected by a current sensor, the power input voltage is monitored by a voltage sensor, and the surface temperature of the heating element is detected by a temperature sensor; Overload protection: If the current exceeds the set threshold, the overload protector will be activated and the power supply will be cut off through the relay or circuit breaker to prevent the equipment from being damaged due to overload; For example, the hair dryer motor stalls, causing the current to rise to 7A, and the safety protection module quickly cuts off the power supply; Abnormal voltage protection: If the voltage is abnormal (for example, the input voltage exceeds 240V or is lower than 100V), the protection circuit is triggered and the power supply is cut off through the relay to prevent the equipment from being damaged by unstable voltage; Overheat protection: If the temperature exceeds a safety threshold (for example, the surface temperature of the heating element exceeds 100°C), the protection module cuts off the power supply through the relay and triggers the alarm to alert the user that the device is overheating; Cooling assistance: When the temperature approaches the threshold but does not exceed it, the radiator starts to lower the device temperature through the heat sink to avoid triggering overheating protection.

[0043] In summary, this application realizes the protection and intelligent management of the hair dryer power cord by integrating the EMC filter module, power adapter module, safety protection module and control module. First, the EMC filter module adopts a multi-stage filtering structure to suppress the conduction and radiation of electromagnetic interference, ensuring the stable operation of the equipment in the electromagnetic environment. On the one hand, it reduces the impact of electromagnetic interference on other electronic devices, and on the other hand, it improves the electromagnetic compatibility of the hair dryer to make it comply with international standards. Secondly, the power adapter module supports power supply standards, which is convenient for users to use in different regions. At the same time, it provides a stable output voltage to ensure that the hair dryer works normally under different loads.

[0044] In addition, the microcontroller MCU receives sensor data in real time, combines machine learning algorithms to analyze device status and generate control instructions, realizing intelligent management. The safety protection module monitors device status in real time through current sensors, voltage sensors and temperature sensors, and cooperates with the actuators to respond quickly to ensure device safety, effectively prevent equipment damage due to overload, overvoltage or overheating, and avoid dangerous situations such as fire.

[0045] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should be understood by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A multifunctional EMC filter hair dryer power cord adapter system, characterized by: Including EMC filter module, power adapter module, safety protection module and control module; The EMC filter module is used to suppress the conduction and radiation of electromagnetic interference EMI; The power adapter module includes a wide voltage input circuit, a rectifier, a voltage stabilizer, and a transformer, and is used to adapt to different power supply standards and stabilize the output voltage. Control module: includes microcontroller MCU and communication module, used to realize intelligent control and remote operation; The safety protection module includes sensors and actuators, which are used to monitor current, voltage and temperature and cut off power supply in abnormal situations.

2. The multifunctional EMC filter hair dryer power cord adapter system according to claim 1, characterized in that: The EMC filter module includes inductors, capacitors, resistors, common-mode chokes, and differential-mode capacitors; The EMC filter module adopts a multi-stage filter structure; The filtering structure includes: power output end filtering, motor drive circuit filtering, heating element circuit filtering, and power output end filtering.

3. The multifunctional EMC filter hair dryer power cord adapter system according to claim 1, characterized in that: The working process of the power adapter module is as follows: 1) The wide voltage input circuit recognizes and adapts to different input voltage ranges. The input AC power passes through the rectifier and uses the bridge rectifier circuit to convert the positive and negative half cycles of the AC power into DC power. 2) The rectified DC power passes through the filter circuit to bypass the high-frequency noise to the ground; 3) Based on the equipment requirements, the voltage is converted to an adaptive value through a transformer and input into the voltage regulator, which dynamically adjusts the output voltage according to load changes; 4) The regulated pure DC power supply is connected to the device through the output interface.

4. The multifunctional EMC filter hair dryer power cord adapter system according to claim 1, characterized in that: The specific working process of the microcontroller MCU of the control module is as follows: 1) The MCU receives the equipment operation data collected by the sensor in real time; 2) MCU pre-processes the collected data and determines whether the device is in normal working condition; 3) Analyze data results, combine machine learning algorithms, generate control instructions, and adjust the working status of the equipment; 4) MCU sends control instructions to the execution element.

5. The multifunctional EMC filter hair dryer power cord adapter system according to claim 4, characterized in that: The preprocessing and analysis of the collected data are specifically as follows: The MCU receives the analog signal from the sensor and converts it into a digital signal through the MCU's built-in analog-to-digital converter ADC; The noise in the digital signal is removed through the built-in filtering algorithm of the MCU, the digital signal is calibrated according to the characteristics of the sensor, and finally the digital signal is converted into an adaptive format; Set current, voltage, and temperature thresholds based on the equipment's safe operating range; Compare the collected data with the set threshold and mark the status; If the current value exceeds the threshold, it is judged as an overload state; If the voltage value exceeds the threshold, it is judged as an overvoltage state; If the temperature exceeds the threshold, it is judged as overheating.

6. The multifunctional EMC filter hair dryer power cord adapter system according to claim 4, characterized in that: The machine learning algorithm is specifically: Collect data: Get real-time status data of the device, including current, voltage, and temperature; Feature extraction: extract key features from the acquired data as input to the machine learning model; Status prediction: The machine learning model predicts the operating status of the equipment based on real-time data changes; Generate control instructions: Based on the prediction results, the MCU generates corresponding control instructions.

7. The multifunctional EMC filter hair dryer power cord adapter system according to claim 6, characterized in that: The key features include real-time data values, value change rate, value fluctuation range, value change trend and value historical peak value.

8. The multifunctional EMC filter hair dryer power cord adapter system according to claim 6, characterized in that: The algorithm formula for predicting the operating status of the device is: in: is the predicted state; is the eigenvector; is the Softmax function; is the LeakyReLU function; is the weight matrix from the input layer to the hidden layer; is the weight matrix from the hidden layer to the output layer; are the bias vectors of the hidden layer and the output layer respectively.

9. The multifunctional EMC filter hair dryer power cord adapter system according to claim 8, characterized in that: The feature vector Specifically: in: is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; is the real-time temperature value; is the temperature change rate; The activation function is specifically: in: is the input value of the hidden layer, ; The specific function is: convert the value of the output layer into a probability distribution; in: is the input value of the output layer, and the calculation formula is: is the result of linear transformation, which represents the weighted sum of hidden layer output and weight.

10. The multifunctional EMC filter hair dryer power cord adapter system according to claim 1, characterized in that: The security protection module is specifically: Collect the current, voltage and temperature data of the equipment in real time through current sensors, voltage sensors and temperature sensors; If the current exceeds the threshold, the overload protector will immediately start and cut off the power supply; If the voltage is abnormal, the protection circuit will be triggered to cut off the power supply; If the temperature exceeds the safety threshold, the power supply will be cut off and an alarm will be issued; The executive elements include relays, circuit breakers, alarms and radiators.

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