Quantum dot-based power supply charging method and related equipment

Abstract

The invention relates to the technical field of charging, in particular to a power supply charging method based on quantum dots and related equipment. The method comprises the following steps: monitoring multi-parameter information of an environment and a power adapter in real time through a quantum dot sensor, analyzing real-time data by using a quantum dot processor according to the multi-parameter information, and generating a corresponding charging parameter adjustment instruction. According to the power supply charging method based on the quantum dots provided by the invention, by introducing the quantum dot sensor, the processor and the transmitter, the comprehensive optimization of the charging process is realized, the problems of insufficient monitoring precision and data processing capability of a traditional charging technology in a complex environment are solved, the charging efficiency and stability are improved, and the service life of equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the field of charging technology, and in particular to a quantum dot-based power charging method and related equipment. Background Art

[0002] Although there are some improved charging technologies on the market, such as temperature monitoring and electromagnetic shielding, most of these technologies rely on a single sensor and a fixed algorithm model, and cannot fully and accurately monitor and adjust charging parameters. Traditional charging technologies have limited monitoring accuracy and data processing capabilities in environments with large temperature and humidity changes and electromagnetic interference. In addition, the inadequacy of fixed charging waveforms and fault detection methods also leads to the problem of reduced energy conversion efficiency during charging. Although many existing fast charging technologies can improve charging efficiency, they do so at the expense of the service life of the adapter and battery. Charging temperature, charging efficiency and device life are contradictory. How to balance or break this contradictory relationship and break through the negative impact of efficiency and temperature on the life of the battery or adapter is the bottleneck of current charging technology. Therefore, most existing charging technologies cannot meet users' needs for fast and stable charging. Summary of the invention

[0003] The present invention provides a quantum dot-based power charging method and related equipment to solve the technical problem of low charging efficiency in traditional charging methods.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: In one aspect, a method for charging a power supply based on quantum dots is provided, the method comprising: The quantum dot sensor is used to monitor the multi-parameter information of the environment and the power adapter in real time, and the quantum dot processor is used to analyze the real-time data according to the multi-parameter information to generate corresponding charging parameter adjustment instructions; The charging parameter adjustment instruction is transmitted to the control unit of the power adapter through the quantum dot transmitter, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency; During the charging process, the quantum dot processor detects the charging status in real time and makes fine adjustments based on feedback information of the charging status to stabilize the charging voltage and current.

[0005] On the other hand, a quantum dot-based power charging system is provided, which is used to perform the quantum dot-based power charging method as described above, and the system comprises: Quantum dot sensors for real-time monitoring of multi-parameter information of the environment and power adapter; A quantum dot processor, used to perform real-time data analysis on the multi-parameter information and generate corresponding charging parameter adjustment instructions; A quantum dot transmitter, used to transmit the charging parameter adjustment instruction to the control unit of the power adapter; A power adapter, comprising a control unit and a charging circuit, wherein the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency; The quantum dot processor comprises: An adaptive calibration module, used for calibrating the measurement value of the quantum dot sensor in real time; A multi-parameter fusion module, used for comprehensively analyzing the multi-parameter information to generate multi-parameter fusion information; A signal processing module, used for noise filtering and data correction of received charging parameter adjustment instructions; A fault detection module is used to monitor the fault status of the charging circuit in real time and generate fault diagnosis information; Dynamic thermal management module, used to monitor temperature changes during charging in real time and generate thermal management instructions; Electromagnetic shielding module, used to monitor electromagnetic interference during charging in real time and generate electromagnetic shielding instructions; Waveform optimization module, used to generate the optimal charging voltage waveform for efficient and stable charging; The fine-tuning module is used to perform fine-tuning according to the feedback information of the charging state to optimize the charging parameters.

[0006] In another aspect, a quantum dot-based power adapter is provided, the power adapter comprising: The quantum dot processor is used to analyze the multi-parameter information of the charging process in real time and generate charging parameter adjustment instructions; A quantum dot transmitter, used to transmit the charging parameter adjustment instruction to the control unit of the power charger; A control unit, used for dynamically adjusting the charging voltage and current according to the charging parameter adjustment instruction; Quantum dot materials, used to reduce heat loss and electromagnetic interference during charging; Fault detection module, used to detect the charging circuit status in real time and perform fault diagnosis; An adaptive calibration module for real-time calibration of the quantum dot sensor's measurements; A signal processing module, used for performing noise filtering and data correction on the received charging parameter adjustment instruction; Dynamic thermal management module, used to monitor temperature changes during charging in real time and generate thermal management instructions; Electromagnetic shielding module, used to monitor electromagnetic interference during charging in real time and generate electromagnetic shielding instructions; Waveform optimization module, used to generate the optimal charging waveform to ensure efficient and stable charging process; A fine-tuning module, used to perform fine-tuning according to the feedback information of the charging state to optimize the charging parameters; A storage module is used to store multi-parameter information and charging parameter adjustment instructions during the charging process, and the storage module is integrated in the quantum dot processor.

[0007] On the other hand, a readable storage medium is provided, on which a computer-readable program is stored, and when the readable program is executed by a processor of a computer, the quantum dot-based power charging method as described above is implemented.

[0008] The beneficial effects of the present invention are: The present invention provides a quantum dot-based power charging method, which achieves all-round optimization of the charging process by introducing quantum dot sensors, processors and transmitters, solves the problems of insufficient monitoring accuracy and data processing capabilities of traditional charging technologies in complex environments, and improves charging efficiency, stability and equipment life.

[0009] Specifically, quantum dot sensors can monitor multi-parameter information of the environment and power adapter in real time, including temperature, humidity, electromagnetic interference intensity, and device status. The high-precision measurement and quantum tunneling effect of quantum dot sensors make the detection of weak environmental changes more sensitive and accurate, providing data support for generating charging parameter adjustment instructions. It not only improves the comprehensiveness of monitoring, but also can promptly detect and respond to environmental changes, ensuring the stability of the charging process.

[0010] Furthermore, the quantum dot processor uses deep learning and adaptive algorithms to analyze multi-parameter information in real time and generate corresponding charging parameter adjustment instructions. The control unit dynamically adjusts the charging voltage and current according to these adjustment instructions, thereby effectively managing and controlling the temperature during the charging process while ensuring charging efficiency. This dynamic adjustment mechanism can automatically optimize charging parameters in different environments, avoiding the problems of inefficiency and overtemperature caused by traditional fixed charging waveforms, and extending the service life of the device.

[0011] Furthermore, during the charging process, the quantum dot processor not only detects the changes in charging current and voltage in real time, but also makes fine adjustments based on the feedback information of the charging status to ensure the stability of the charging voltage and current. This real-time feedback and fine-tuning mechanism makes the charging process smoother and more efficient, reducing the risk of power loss and equipment damage caused by instantaneous current and voltage fluctuations during the charging process. Through dynamic adjustment, the present invention effectively controls the temperature while maintaining high charging efficiency, thereby breaking the negative impact of charging efficiency and temperature on equipment life. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a flow chart of a power charging method based on quantum dots in one embodiment of the present invention; Figure 2 This is a schematic diagram of temperature calibration of a quantum dot sensor in one embodiment of the present invention; Figure 3 This is a schematic diagram of humidity calibration of a quantum dot sensor in one embodiment of the present invention; Figure 4 This is a schematic diagram of electromagnetic interference calibration of a quantum dot sensor in one embodiment of the present invention; Figure 5 A schematic diagram of optimizing the charging voltage waveform of a quantum dot processor in one embodiment of the present invention; Figure 6 A schematic diagram of fine-tuning the charging current of a quantum dot processor in one embodiment of the present invention; Figure 7 A schematic diagram comparing charging temperature changes in an embodiment of the present invention; Figure 8 A schematic diagram of charging frequency changes during charging in one embodiment of the present invention; Fig. 9 A schematic diagram showing comparison of charging voltage optimization in an embodiment of the present invention; Fig.10 A schematic diagram showing comparison of charging current optimization in one embodiment of the present invention; Fig.11 A schematic diagram showing a comparison of charging frequency changes in an embodiment of the present invention; Fig.12 Schematic diagram of self-repair of a quantum dot processor in one embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] The term "include" and any variation thereof in the specification of the present application are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device including a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. In addition, the use of "and / or" in the specification indicates at least one of the connected objects, such as A and / or B, indicating the inclusion of three situations: A alone, B alone, and both A and B.

[0015] In the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0016] The present invention provides the following preferred embodiments: Embodiment 1 In order to solve the technical problem of low charging efficiency in traditional charging technology, this embodiment provides a power charging method based on quantum dots. This method uses quantum dot sensors to monitor the multi-parameter information of the environment and the power adapter in real time, combines with quantum dot processors to analyze real-time data, generates corresponding charging parameter adjustment instructions, and transmits these instructions to the control unit of the power adapter through a quantum dot transmitter, dynamically adjusts the charging voltage and current, and thus optimizes the charging efficiency. During the charging process, the quantum dot processor also detects the charging status in real time and makes fine adjustments based on the feedback information to stabilize the charging voltage and current.

[0017] Specifically, Figure 1 As shown, the steps of the charging method include: S100, using quantum dot sensors to monitor multi-parameter information of the environment and the power adapter in real time, and using quantum dot processors to analyze real-time data based on the multi-parameter information to generate corresponding charging parameter adjustment instructions.

[0018] S200, transmitting the charging parameter adjustment instruction to the control unit of the power adapter through the quantum dot transmitter, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency.

[0019] S300. During the charging process, the quantum dot processor detects the charging status in real time and makes fine adjustments based on the feedback information of the charging status to stabilize the charging voltage and current.

[0020] Furthermore, if Figures 2 to 4 As shown, the quantum dot sensor used in this embodiment is used to monitor multi-parameter information such as temperature, humidity, electromagnetic interference intensity and power adapter device status in the environment in real time. The quantum dot sensor uses the quantum tunneling effect to improve the detection sensitivity of weak environmental changes, thereby ensuring the accuracy of the monitoring data. It should be understood that the multi-parameter monitoring function of the quantum dot sensor enables the system to provide more comprehensive and accurate data support in complex environments, which helps to dynamically adjust the charging parameters.

[0021] Furthermore, the quantum dot processor has strong data processing capabilities and real-time computing functions, and can efficiently process multi-parameter information from quantum dot sensors. The quantum dot processor generates corresponding charging parameter adjustment instructions by analyzing real-time data using a preset multi-parameter model. The multi-parameter model is set with a reference value in the initial state, and calculates the difference between the current measurement value and the reference value in each monitoring cycle. The measurement value is adjusted through an adaptive algorithm to ensure the accuracy and reliability of the monitoring data. It can be understood that the adaptive algorithm of the quantum dot processor enables the system to calibrate sensor data in real time, avoiding the error accumulation problem caused by the traditional fixed algorithm.

[0022] Furthermore, the quantum dot transmitter uses the quantum tunneling effect to improve the efficiency of signal transmission by dynamically adjusting the transmission frequency and power. In each transmission cycle, the transmitter calculates the transmission frequency adjustment factor and the transmission power adjustment factor according to the transmission distance and environmental conditions, and dynamically adjusts the transmission parameters to ensure the reliable transmission of the charging parameter adjustment instructions. It should be understood that the dynamic adjustment mechanism of the quantum dot transmitter can effectively deal with signal transmission problems in complex environments and ensure the stability and real-time performance of charging instructions.

[0023] Furthermore, the control unit of the power adapter has high response speed and precise control capability, and can dynamically adjust the waveform and frequency of the charging voltage and current according to the received charging parameter adjustment instruction, such as Figure 5 As shown. Through the analysis results of the quantum dot processor, the control unit can optimize the charging parameters in real time, thereby improving the charging efficiency. It can be understood that the dynamic adjustment capability of the power adapter enables the system to automatically optimize the charging process in different environments, improving the adaptability and efficiency of charging.

[0024] Furthermore, the quantum dot processor detects the changes in charging current and voltage in real time during the charging process, generates charging status feedback information, and fine-tunes the charging parameters based on this feedback information, such as Figure 6 As shown, the charging voltage and current are stabilized. Specifically, the quantum dot processor calculates the time mean and standard deviation of the charging current feedback information through an integral fine-tuning algorithm, and generates corresponding fine-tuning instructions. These fine-tuning instructions are transmitted to the control unit of the power adapter through the quantum dot transmitter to further optimize the charging process. It should be understood that the real-time detection and fine-tuning mechanism of the charging status enables the system to adjust parameters in time during the charging process, avoiding charging instability problems caused by instantaneous fluctuations.

[0025] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-precision multi-parameter monitoring, real-time data analysis and dynamic adjustment of charging parameters in a complex environment, and further stabilize the charging process through real-time detection and fine-tuning of the charging state. The benefits of this embodiment are that it improves charging efficiency and stability, and extends the service life of the adapter and battery, especially in environments with large changes in temperature and humidity and electromagnetic interference.

[0026] Embodiment 2 In order to solve the problem of insufficient monitoring accuracy of traditional charging technology in complex environments, this embodiment further optimizes the monitoring process of multi-parameter information. This embodiment uses multiple quantum dot sensors to monitor the multi-parameter information of the environment and the power adapter respectively, generates multi-dimensional environmental parameters, and calibrates these parameters in real time through the adaptive algorithm of the quantum dot sensor to ensure the accuracy of the monitoring data. In addition, the quantum tunneling effect of the quantum dot sensor is used to improve the detection sensitivity of weak environmental changes and refine the environmental parameters.

[0027] Furthermore, the multiple quantum dot sensor models used in this embodiment are QD-S200 and QD-S300. The QD-S200 sensor is responsible for monitoring temperature and humidity, while the QD-S300 sensor is responsible for monitoring electromagnetic interference intensity and device status. These sensors can detect slight environmental changes through the quantum tunneling effect, improving the monitoring accuracy of multi-parameter information. It should be understood that the high sensitivity and low noise characteristics of quantum dot sensors enable the system to accurately capture subtle changes in the environment, providing a data basis for subsequent data analysis.

[0028] Furthermore, the quantum dot processor model is QD-P400, which has efficient multi-parameter model prediction and classification capabilities. The quantum dot processor uses an adaptive algorithm to calibrate the environmental parameters transmitted by the quantum dot sensor in real time. In the initial state, the reference value S0 of the quantum dot sensor is set, and in each monitoring cycle t, the current measurement value S of the quantum dot sensor is calculated. t The difference ΔS from the reference value S0 t Through the calibration algorithm of the quantum dot processor, the current measurement value S is adjusted t is the calibration measurement value S JZ , the expression of the calibration algorithm is: , where k is the calibration coefficient, which is calculated and adjusted in real time by the quantum dot processor. It can be understood that the calibration algorithm can dynamically adjust the measurement value of the quantum dot sensor, avoiding measurement errors caused by environmental changes and ensuring the accuracy of the monitoring data.

[0029] Furthermore, the quantum dot transmitter model is QD-T200, which uses the quantum tunneling effect to improve signal transmission efficiency by dynamically adjusting the transmission frequency and power. In each monitoring cycle t, the quantum dot processor converts the calibrated multi-dimensional environmental parameter S JZ The data is transmitted to the control unit of the power adapter, ensuring that the control unit can generate charging parameter adjustment instructions based on accurate environmental parameters. The high energy efficiency and reliability of the quantum dot transmitter ensures stable and real-time signal transmission.

[0030] Furthermore, the quantum dot processor can also generate detailed environmental parameter reports, including real-time change curves of temperature, humidity, electromagnetic interference intensity and device status. These reports are sent to the user's terminal device via wireless transmission technology (such as Wi-Fi or Bluetooth), and the user can view changes in the charging environment in real time, which is convenient for charging management and maintenance. It should be understood that the visualization function of this environmental parameter provides a reference for system fault diagnosis.

[0031] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-precision multi-parameter monitoring in a complex environment to ensure the stability and efficiency of the charging process. The data monitoring accuracy during the charging process is improved, and measurement errors caused by environmental changes are avoided, thereby providing a solid data foundation for the optimization and adjustment of charging parameters.

[0032] Embodiment 3 In order to solve the real-time and accuracy problems of charging parameter adjustment, this embodiment further optimizes the analysis and adjustment mechanism of the quantum dot processor. This embodiment uses a preset multi-parameter model to predict and classify multi-parameter information, generates initial charging parameter adjustment instructions, and updates the multi-parameter model in real time through the deep learning algorithm of the quantum dot processor to adapt to different environments and device states.

[0033] Furthermore, the quantum dot processor used in this embodiment has powerful deep learning and adaptive computing capabilities. In the initial state, the initial parameters of the multi-parameter model are set. In each analysis cycle m, the quantum dot processor calculates the multi-parameter information X according to the multi-parameter information X. m and the current model parameters θ m , generate the initial charging parameter adjustment instruction I m , the expression is: It should be understood that the initial charging parameter adjustment instruction I m The generation depends on the product of current multi-parameter information and model parameters, which ensures the real-time and targeted nature of the instructions.

[0034] Furthermore, the quantum dot processor updates the current model parameters θ in real time through a deep learning algorithm. mTo the next cycle model parameter θ m+1 , the expression is: , where α is the learning rate and F(x) is the loss function. The quantum dot processor adjusts the model parameters by calculating the gradient of the loss function, so that the model can more accurately generate charging parameter adjustment instructions in different environments and device states. It can be understood that the introduction of deep learning algorithms enables the system to continuously optimize model parameters and improve the adaptability and accuracy of the model.

[0035] Furthermore, the quantum dot processor can also generate a detailed charging parameter adjustment report, including the initial charging parameter adjustment instructions I generated in each cycle. m and the updated model parameters θ m+1 These reports are sent to the user's terminal device via wireless transmission technology, and the user can view the adjustment process of the charging parameters in real time, which is convenient for charging management and maintenance. It should be understood that this visualization function of charging parameter adjustment not only improves the user experience, but also provides an important reference for system fault diagnosis.

[0036] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-precision real-time data analysis and charging parameter adjustment in a complex environment, ensuring the stability and efficiency of the charging process. The benefit of this embodiment is that it significantly improves the real-time and accuracy of charging parameter adjustment, avoids adjustment errors caused by environmental changes, and thus provides more sophisticated control for the charging process.

[0037] Embodiment 4 In order to solve the problem of unstable signal transmission of traditional charging technology in complex environments, this embodiment further optimizes the transmission mechanism of the quantum dot transmitter. This embodiment uses the transmission algorithm of the quantum dot transmitter to dynamically adjust the transmission frequency and power according to the transmission distance and environmental conditions, and uses the quantum tunneling effect of quantum dots to improve the efficiency of signal transmission. In addition, the signal processing algorithm of the quantum dot processor is used to filter noise and correct data for the received charging parameter adjustment instructions.

[0038] Furthermore, the quantum dot transmitter used in this embodiment can maintain stable transmission performance in a complex propagation environment. The quantum dot processor has efficient signal processing and noise filtering capabilities. In the initial state, the initial transmission frequency and initial transmission power of the quantum dot transmitter are set. In each transmission cycle p, according to the transmission distance L p and environmental conditions E p , calculate the transmission frequency adjustment factor η p and the transmission power adjustment factor θ p , the expressions are: and , where γ, δ, ρ, and σ are all transmission adjustment coefficients, which are calculated and adjusted in real time by the quantum dot processor; it should be understood that the calculation formula of these adjustment factors takes into account the combined influence of transmission distance and environmental conditions, ensuring that the dynamic adjustment of transmission frequency and power is more accurate.

[0039] Further, the factor η is adjusted according to the transmission frequency p and transmission power p and transmission power P p , the expressions are: and , where Δf p and ΔP p They are the frequency adjustment amount and the power adjustment amount, which are calculated and adjusted in real time by the quantum dot processor; it can be understood that this dynamic adjustment mechanism enables the transmitter to maintain the best transmission performance in different environments and ensure the reliable transmission of charging parameter adjustment instructions.

[0040] Furthermore, the signal processing algorithm of the quantum dot processor can perform noise filtering and data correction on the received charging parameter adjustment instructions. Specifically, the quantum dot processor filters the signal through the Kalman filter algorithm to remove the noise generated during the transmission process, and further corrects the filtered signal through the data correction algorithm to ensure the accuracy of the instruction data. It should be understood that the combination of filtering and correction algorithms enables the system to maintain stable charging parameter adjustments in complex environments, improving charging efficiency and safety.

[0041] Through the quantum dot-based power charging method provided in this embodiment, the system can achieve high-efficiency and stable signal transmission in complex environments, ensuring the reliable transmission of charging parameter adjustment instructions. The efficiency and reliability of signal transmission are improved, and the signal instability problem of traditional transmission technology in complex environments is avoided, thereby providing more stable control for the charging process.

[0042] Embodiment 5 In order to solve the problem of dynamic adjustment of charging voltage and current, this embodiment further optimizes the waveform adjustment mechanism of the control unit. This embodiment uses the control unit to dynamically adjust the waveform and frequency of the charging voltage and current according to the charging parameter adjustment instruction, and uses the waveform optimization algorithm of the quantum dot processor to generate the optimal charging waveform, such as Figure 5 In addition, the power adapter of this embodiment has built-in quantum dot materials to improve energy conversion efficiency and reduce power transmission loss, and includes a self-diagnosis module based on a quantum dot processor to detect circuit status in real time and perform fault diagnosis.

[0043] Furthermore, the control unit used in this embodiment has a high response speed and precise control capability. The dynamic adjustment of the waveform and frequency of the charging voltage and current is achieved through the waveform optimization algorithm of the quantum dot processor. In the initial state, the control unit generates the original charging voltage waveform V according to the charging parameter adjustment instruction. YS (t). In each charging cycle t, the quantum dot processor generates the optimal charging voltage waveform V through the waveform optimization algorithm. TZ (t), the expression is: , where V YS (t) is the optimized charging voltage waveform, V YS (t) is the original charging voltage waveform, K is the optimization coefficient, ω is the angular frequency, ϕ is the phase shift, and it is necessary to understand that the waveform optimization algorithm optimizes the charging voltage and current waveforms by performing sinusoidal wave modulation on the original waveform, thereby improving the energy conversion efficiency and reducing the power transmission loss.

[0044] Furthermore, the power adapter of this embodiment has built-in quantum dot material, which has good conductivity and low loss characteristics. The built-in quantum dot material can improve the energy conversion efficiency and reduce the energy loss during the power transmission process. Specifically, the quantum dot material improves the transmission efficiency of electric energy through the quantum tunneling effect and reduces the energy loss caused by resistance and electromagnetic interference. It can be understood that the application of built-in quantum dot material not only improves the charging efficiency, but also extends the service life of the adapter and reduces the maintenance cost of the equipment.

[0045] Furthermore, the control unit also includes a self-diagnosis module based on a quantum dot processor, which is used to detect the circuit status in real time and perform fault diagnosis. The self-diagnosis module generates a fault diagnosis report by monitoring the circuit parameters of the control unit in real time, such as voltage, current, temperature, etc. The quantum dot processor analyzes the changes in circuit parameters through a preset fault diagnosis algorithm to promptly detect and diagnose potential faults. It should be understood that the real-time monitoring and fault diagnosis functions of the self-diagnosis module enable the system to promptly detect and handle faults during the charging process, thereby improving the safety and reliability of the system.

[0046] Through the quantum dot-based power charging method provided in this embodiment, the system can dynamically adjust the waveform and frequency of the charging voltage and current in a complex environment, improve energy conversion efficiency, and reduce power transmission loss. The benefits of this embodiment are that the efficiency and stability of the charging process are significantly improved, the service life of the adapter and battery is extended, and the safety and reliability of the system are improved through the self-diagnosis module, meeting the user's high demand for fast and stable charging.

[0047] Embodiment 6 In order to solve the problem that traditional charging technology is not sensitive to current and voltage changes when dynamically adjusting charging parameters, this embodiment further optimizes the real-time detection and fine-tuning mechanism of the quantum dot processor for the charging state. This embodiment uses the quantum dot processor to detect the changes in charging current and voltage in real time, generate charging state feedback information, and analyze this feedback information to generate fine-tuning instructions. The quantum dot transmitter transmits these fine-tuning instructions to the control unit of the power adapter to further optimize the charging voltage and current, such as Fig. 9 and Fig.10 shown.

[0048] Furthermore, the quantum dot processor used in this embodiment has efficient real-time analysis and fine-tuning capabilities. The quantum dot processor generates charging status feedback information I by real-time detection of changes in charging current I(t) and voltage V(t). FK (t) and V FK (t). These feedback information are processed by the fine-tuning algorithm to generate fine-tuning instructions ΔI and ΔV. The generation expression of the fine-tuning instructions is: , where I FK (t) is the feedback information of the charging current, μ is the time mean, and λ is the time standard deviation, which are calculated in real time by the quantum dot processor. It should be understood that the fine-tuning algorithm generates a smoother and more accurate fine-tuning instruction by Gaussian filtering the feedback information of the charging current, avoiding the charging parameter adjustment error caused by the instantaneous current fluctuation. It can be understood that, by replacing I FK (t) is replaced by V FK (t) The calculation formula of ΔV fine-tuning instruction can be obtained.

[0049] Furthermore, the quantum dot transmitter can quickly transmit the fine-tuning instructions to the control unit of the power adapter in each fine-tuning cycle. The control unit adjusts the charging current and voltage in real time according to the received fine-tuning instructions to ensure the stability and efficiency of the charging process. It can be understood that the low latency characteristics of the quantum dot transmitter enable the system to quickly respond to changes in the charging state, avoiding the problem of untimely adjustment of charging parameters due to signal transmission delays.

[0050] Furthermore, the quantum dot processor can also generate detailed charging status reports, including real-time change curves of charging current and voltage and historical records of fine-tuning instructions. These reports are sent to the user's terminal device via wireless transmission technology, and the user can view the changes in charging status in real time, which is convenient for charging management and maintenance.

[0051] Through the quantum dot-based power charging method provided in this embodiment, the system can respond promptly and accurately to current and voltage changes when dynamically adjusting charging parameters, further optimizing the charging process. The benefit of this embodiment is that it improves the accuracy and timeliness of fine-tuning charging parameters, ensures the stability and efficiency of the charging process, and is particularly suitable for occasions where frequent adjustment of charging parameters is required.

[0052] Embodiment 7 In order to solve the problem that traditional charging technology is prone to micro-faults during the charging process, this embodiment further proposes a self-repair mechanism for the charging circuit. This embodiment detects micro-faults in the charging circuit in real time through the self-repair characteristics of quantum dot materials, generates self-repair instructions through the self-repair algorithm of the quantum dot processor, transmits them to the charging circuit through the quantum dot transmitter, and performs self-repair operations in real time.

[0053] Furthermore, the quantum dot material built into the power adapter used in this embodiment can automatically restore the normal state of the circuit when a microfault occurs through the quantum tunneling effect and self-repair characteristics, reducing charging interruptions and device damage caused by microfaults. It should be understood that the self-repair characteristics of the quantum dot material can not only improve the reliability of the charging circuit, but also extend the service life of the power adapter.

[0054] Furthermore, the quantum dot processor generates a detailed fault detection report by monitoring the status of the charging circuit in real time, including the electromagnetic interference intensity Ei and location information of each fault point. The self-repair algorithm calculates the original circuit resistance R YS And the repaired circuit resistance R XF , generate self-repair instructions. The generation expression of self-repair instructions is: , where R XF is the resistance of the repaired circuit, R YS is the original circuit resistance, E ZY is the preset electromagnetic interference intensity threshold, n represents the total number of fault points, E i is the electromagnetic interference intensity of the i-th fault point, which is calculated in real time by the quantum dot processor. It can be understood that the self-repair algorithm generates the repaired circuit resistance by summing the squares of the electromagnetic interference intensity of each fault point, ensuring the accuracy of the self-repair instruction.

[0055] Furthermore, the quantum dot transmitter can quickly transmit the self-repair instruction to the charging circuit. The charging circuit automatically adjusts the resistance value and the conductive path in the circuit according to the received self-repair instruction, such as Fig.12 As shown, the circuit is restored to its normal state. It should be understood that the efficient transmission mechanism of the quantum dot transmitter ensures the timely delivery of the self-repair instruction and avoids the problem of self-repair failure caused by transmission delay.

[0056] Through the quantum dot-based power charging method provided in this embodiment, the system can detect and self-repair micro-faults in the charging circuit in real time during the charging process, thereby improving the stability of the charging circuit. This embodiment reduces charging interruptions caused by micro-faults, extends the service life of the power adapter, and improves the user's trust in the charging system.

[0057] Embodiment 8 In order to solve the problem of low integration of traditional charging systems in multi-parameter monitoring and data processing, this embodiment proposes a modular design of a power charging system based on quantum dots. This embodiment provides a power charging system based on quantum dots, including a quantum dot sensor, a quantum dot processor, a quantum dot transmitter and a power adapter, and each module has a highly integrated data processing and transmission mechanism.

[0058] Specifically, the quantum dot processor in this embodiment integrates multiple functional modules, such as an adaptive calibration module, a multi-parameter fusion module, a signal processing module, a fault detection module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module and a fine-tuning module. The adaptive calibration module ensures the high accuracy of the monitoring data by calibrating the measurement value of the quantum dot sensor in real time. The multi-parameter fusion module generates multi-parameter fusion information by comprehensively analyzing the multi-parameter information of multiple sensors, thereby improving the reliability of the data. The signal processing module ensures the accuracy of the charging parameter adjustment instructions through noise filtering and data correction. The fault detection module generates fault diagnosis information by monitoring the fault status of the charging circuit in real time. The dynamic thermal management module generates thermal management instructions by monitoring the temperature changes during the charging process in real time, and optimizes the charging temperature through the quantum dot processor, such as Figure 7 As shown. The electromagnetic shielding module generates electromagnetic shielding instructions by real-time monitoring of electromagnetic interference during the charging process. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module performs fine-tuning based on the feedback information of the charging status to optimize the charging parameters. It should be understood that the integrated design of these modules enables the system to perform comprehensive and precise control during the charging process, improving the stability and efficiency of charging.

[0059] Furthermore, quantum dot sensors can monitor the temperature, humidity, electromagnetic interference intensity and device status in the environment in real time. Quantum dot sensors improve the detection sensitivity of weak environmental changes through the quantum tunneling effect. Quantum dot transmitter models dynamically adjust the transmission frequency and power, such as Figure 8 and Fig.11As shown, the quantum tunneling effect of quantum dots is used to improve the efficiency of signal transmission. The power adapter includes a control unit and a charging circuit. The control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction. It can be understood that the high degree of integration and collaborative work between the modules enable the system to provide efficient charging services in a complex charging environment.

[0060] Furthermore, the quantum dot processor can also generate detailed system status reports, including multi-parameter information during the charging process, charging parameter adjustment instructions, fault diagnosis information, thermal management instructions, etc. These reports are sent to the user's terminal device via wireless transmission technology.

[0061] Through the quantum dot-based power charging system provided in this embodiment, the modules are highly integrated and work together to ensure the stability and efficiency of the charging process, improve the system's integration and functional perfection, simplify the user's operation process, and improve the reliability of the charging system.

[0062] Embodiment 9 In order to solve the problem that the charging efficiency of traditional power adapters is easily reduced due to heat loss and electromagnetic interference during charging, this embodiment further optimizes the design of a power adapter based on quantum dots. This embodiment provides a power adapter based on quantum dots, including multiple functional modules, such as a quantum dot processor, a quantum dot transmitter, a control unit, a quantum dot material, a fault detection module, an adaptive calibration module, a signal processing module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module, and a fine-tuning module. Through the comprehensive application of these modules, the charging efficiency and stability of the power adapter are improved.

[0063] Furthermore, the quantum dot processor in this embodiment calibrates the measurement value of the quantum dot sensor in real time through the adaptive calibration module to ensure the high accuracy of the monitoring data. The multi-parameter fusion module generates multi-parameter fusion information by comprehensively analyzing the multi-parameter information of multiple sensors. The signal processing module ensures the accuracy of the charging parameter adjustment instruction through noise filtering and data correction. The fault detection module generates fault diagnosis information by real-time monitoring the fault state of the charging circuit. The dynamic thermal management module generates thermal management instructions by real-time monitoring of temperature changes during the charging process. The electromagnetic shielding module generates electromagnetic shielding instructions by real-time monitoring of electromagnetic interference during the charging process. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module performs fine-tuning according to the feedback information of the charging status to optimize the charging parameters. It should be understood that the collaborative work of these functional modules enables the power adapter to be fully and accurately controlled during the charging process, thereby improving the stability and efficiency of charging.

[0064] Furthermore, the quantum dot transmitter uses the quantum tunneling effect of quantum dots to improve the efficiency of signal transmission by dynamically adjusting the transmission frequency and power. The control unit in the power adapter dynamically adjusts the charging voltage and current according to the received charging parameter adjustment instructions. Quantum dot materials have good conductivity and low loss characteristics, which can reduce heat loss and electromagnetic interference during charging and improve energy conversion efficiency. It can be understood that the integrated application of quantum dot materials significantly improves the performance and reliability of the power adapter and extends the service life of the device.

[0065] Furthermore, the storage module in the power adapter is integrated into the quantum dot processor to store multi-parameter information and charging parameter adjustment instructions during the charging process. The storage module can record the operating status of the system in real time, providing important data support for subsequent data analysis and fault diagnosis. It should be understood that the integrated design of the storage module not only simplifies the structure of the device, but also improves the data management efficiency and facilitates system maintenance and optimization.

[0066] Through the quantum dot-based power adapter provided in this embodiment, the coordinated application of various functional modules enables the power adapter to have high efficiency and high stability during the charging process, reduces heat loss and electromagnetic interference during the charging process, improves energy conversion efficiency and charging reliability, and meets users' high demands for efficient and stable charging.

[0067] Embodiment 10 In order to solve the problem that the traditional charging method lacks efficiency and stability in software implementation, this embodiment provides a readable storage medium for a quantum dot-based power charging method. The storage medium stores a computer-readable program, which, when executed by a computer processor, can implement the quantum dot-based power charging method as described above. This embodiment ensures the scalability of the charging method through efficient software implementation.

[0068] Furthermore, the readable storage medium used in this embodiment is a solid-state hard disk with high-speed read and write capabilities and low latency characteristics, which can quickly load and execute computer-readable programs. The computer-readable program mainly includes the following modules: an adaptive calibration module, a multi-parameter fusion module, a signal processing module, a fault detection module, a dynamic thermal management module, an electromagnetic shielding module, a waveform optimization module, and a fine-tuning module. The adaptive calibration module ensures the high accuracy of the monitoring data by calibrating the measurement value of the quantum dot sensor in real time. The multi-parameter fusion module generates multi-parameter fusion information by comprehensively analyzing the multi-parameter information of multiple sensors. The signal processing module ensures the accuracy of the charging parameter adjustment instruction through noise filtering and data correction. The fault detection module generates fault diagnosis information by real-time monitoring the fault state of the charging circuit. The dynamic thermal management module generates thermal management instructions by real-time monitoring the temperature changes during the charging process. The electromagnetic shielding module generates electromagnetic shielding instructions by real-time monitoring the electromagnetic interference during the charging process. The waveform optimization module ensures the efficiency and stability of the charging process by generating the optimal charging voltage waveform. The fine-tuning module performs fine-tuning according to the feedback information of the charging state to optimize the charging parameters. It is important to understand that efficient software implementation of these modules enables the system to provide reliable charging services in different environments.

[0069] Furthermore, the computer-readable program ensures the parallel execution of each module through multi-thread processing technology. Specifically, the adaptive calibration module, multi-parameter fusion module, signal processing module, fault detection module, dynamic thermal management module, electromagnetic shielding module, waveform optimization module and fine-tuning module run in different threads respectively, and synchronize and coordinate data through shared memory and mutex lock mechanism. It can be understood that multi-thread processing technology improves the execution efficiency of the program and avoids the performance bottleneck caused by data synchronization problems between modules.

[0070] Furthermore, the computer-readable program also supports online updates and remote maintenance. Users can download the latest program version through the Internet and update the program in the storage medium to adapt to the new charging environment and technical requirements. In addition, the system provides a remote maintenance interface, allowing users and technical support personnel to perform fault diagnosis and parameter adjustment on the system remotely, improving the maintenance convenience and reliability of the system. It should be understood that this online update and remote maintenance function enables the system to be continuously optimized and improved, meeting the user's high demand for efficient and stable charging.

[0071] Through the readable storage medium of the quantum dot-based power charging method provided in this embodiment, the system can efficiently and stably execute the charging method in different environments, ensuring the reliability and scalability of the charging process. The benefit of this embodiment is that it improves the execution efficiency of the software and the convenience of system maintenance, allowing users to manage the charging process more easily.

[0072] The above embodiments further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the present invention should be included in the scope of protection of the present invention.

Claims

1. A power charging method based on quantum dots, characterized in that: The steps of the method include: The quantum dot sensor is used to monitor the multi-parameter information of the environment and the power adapter in real time, and the quantum dot processor is used to analyze the real-time data according to the multi-parameter information to generate corresponding charging parameter adjustment instructions; The charging parameter adjustment instruction is transmitted to the control unit of the power adapter through the quantum dot transmitter, and the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency; During the charging process, the quantum dot processor detects the charging status in real time and makes fine adjustments based on feedback information of the charging status to stabilize the charging voltage and current.

2. The quantum dot-based power charging method according to claim 1, characterized in that: The step of real-time monitoring of multi-parameter information of the environment and the power adapter by using a quantum dot sensor comprises: Using multiple quantum dot sensors to monitor the multi-parameter information respectively to form multi-dimensional environmental parameters, wherein the environmental parameters include temperature, humidity, electromagnetic interference intensity and device status; The environmental parameters are calibrated in real time through the adaptive algorithm of the quantum dot sensor to ensure the accuracy of the monitoring data; Utilizing the quantum tunneling effect of the quantum dot sensor to improve the detection sensitivity of the quantum dot sensor to slight environmental changes, so as to refine the environmental parameters; The adaptive algorithm comprises the following steps: In the initial state, a reference value S0 of the quantum dot sensor is set; In each monitoring cycle t, the current measurement value S of the quantum dot sensor is calculated. t The difference ΔS between the reference value S0 t : ； The current measurement value S is adjusted by the calibration algorithm of the quantum dot processor. t is the calibration measurement value S JZ , the expression of the calibration algorithm is: , where k is the calibration coefficient, which is calculated and adjusted in real time by the quantum dot processor; The calibration measurement value S JZ As the measured value of the current cycle, enter the next monitoring cycle.

3. The quantum dot-based power charging method according to claim 2, characterized in that: The step of using the quantum dot processor to analyze the real-time data and generate corresponding charging parameter adjustment instructions includes: Using a preset multi-parameter model, predicting and classifying the multi-parameter information, and generating an initial charging parameter adjustment instruction; By using the deep learning algorithm of the quantum dot processor, the multi-parameter model is updated in real time to adapt to different environments and device states; The step of generating an initial charging parameter adjustment instruction comprises: In the initial state, setting the initial parameters of the multi-parameter model; In each analysis cycle m, according to the multi-parameter information and the current model parameter θ m , generate the initial charging parameter adjustment instruction I m , the expression is: , where X m is multi-parameter information; The current model parameter θ is updated through the deep learning algorithm of the quantum dot processor m To the next cycle model parameter θ m+1 , the expression is: , where θ m+1 are the updated model parameters, α is the learning rate, and F(x) is the loss function, which are calculated and adjusted in real time by the quantum dot processor; The updated model parameters θ m+1 As the model parameters of the next cycle, enter the next analysis cycle.

4. The quantum dot-based power charging method according to claim 3, characterized in that: The step of transmitting the charging parameter adjustment instruction to the control unit of the power adapter through the quantum dot transmitter includes: Through the transmission algorithm of the quantum dot transmitter, the transmission frequency and power are dynamically adjusted according to the transmission distance and environmental conditions, and the quantum tunneling effect of the quantum dot transmitter is used to improve the efficiency of signal transmission; Through the signal processing algorithm of the quantum dot processor, noise filtering and data correction are performed on the received charging parameter adjustment instruction; The steps of the transmission algorithm include: Setting the initial transmission frequency and initial transmission power of the quantum dot transmitter; In each transmission period p, according to the transmission distance L p and environmental conditions E p , calculate the transmission frequency adjustment factor η p and the transmission power adjustment factor θ p , the expression is: ， ， Wherein, γ, δ, ρ, σ are all transmission adjustment coefficients, which are calculated and adjusted in real time by the quantum dot processor; The transmission frequency is adjusted according to the factor η p and the transmission power adjustment factor θ p , dynamically adjust the transmission frequency f of the quantum dot transmitter p and transmission power P p , the expression is: ， ， Where Δf p and ΔP p They are frequency adjustment amount and power adjustment amount, respectively, which are calculated and adjusted in real time by the quantum dot processor; The adjusted transmission frequency f p+1 and transmission power P p+1 They are used as the transmission frequency and transmission power of the next transmission cycle respectively, and enter the next transmission cycle.

5. The quantum dot-based power charging method according to claim 1, characterized in that: The step of dynamically adjusting the charging voltage and current according to the charging parameter adjustment instruction by the control unit comprises: The control unit of the power adapter dynamically adjusts the waveform and frequency of the charging voltage and current according to the charging parameter adjustment instruction; The optimal charging waveform is generated by the waveform optimization algorithm of the quantum dot processor, and the expression of the waveform optimization algorithm is: , where V YS (t) is the optimized charging voltage waveform, V YS (t) is the original charging voltage waveform, K is the optimization coefficient, ω is the angular frequency, and ϕ is the phase shift, which is calculated in real time by the quantum dot processor; The power adapter has built-in quantum dot materials to improve the efficiency of energy conversion and reduce the loss of power transmission; The control unit also includes a self-diagnosis module based on a quantum dot processor, which is used to detect the circuit status in real time and perform fault diagnosis.

6. The quantum dot-based power charging method according to claim 1, characterized in that: The step of the quantum dot processor detecting the charging state in real time and making fine adjustments according to the feedback information of the charging state includes: The quantum dot processor generates charging status feedback information by detecting changes in charging current and voltage in real time, and analyzes the charging status feedback information to generate fine-tuning instructions; The quantum dot transmitter transmits the fine-tuning instruction to the control unit of the power adapter; The expression generated by the fine-tuning instruction is as follows: , where I FK (t) is the feedback information of the charging current, μ is the time mean, and λ is the time standard deviation, which is calculated in real time by the quantum dot processor.

7. The quantum dot-based power charging method according to claim 5, characterized in that: The method further comprises the following steps: Through the self-repairing properties of the quantum dot material, micro-faults in the charging circuit are detected in real time and self-repaired; The quantum dot processor generates a self-repair instruction through a self-repair algorithm and transmits it to the charging circuit through a quantum dot transmitter; The expression of the self-repair algorithm is: , where R XF is the resistance of the repaired circuit, R YS is the original circuit resistance, E ZY is the preset electromagnetic interference intensity threshold, n represents the total number of fault points, E i is the electromagnetic interference intensity of the i-th fault point.

8. A quantum dot-based power charging system, used to execute the quantum dot-based power charging method according to any one of claims 1 to 7, characterized in that: The system comprises: Quantum dot sensors for real-time monitoring of multi-parameter information of the environment and power adapter; A quantum dot processor, used to perform real-time data analysis on the multi-parameter information and generate corresponding charging parameter adjustment instructions; A quantum dot transmitter, used to transmit the charging parameter adjustment instruction to the control unit of the power adapter; A power adapter, comprising a control unit and a charging circuit, wherein the control unit dynamically adjusts the charging voltage and current according to the charging parameter adjustment instruction to optimize the charging efficiency; The quantum dot processor comprises: An adaptive calibration module, used for calibrating the measurement value of the quantum dot sensor in real time; A multi-parameter fusion module, used for comprehensively analyzing the multi-parameter information to generate multi-parameter fusion information; A signal processing module, used for noise filtering and data correction of received charging parameter adjustment instructions; A fault detection module is used to monitor the fault status of the charging circuit in real time and generate fault diagnosis information; Dynamic thermal management module, used to monitor temperature changes during charging in real time and generate thermal management instructions; Electromagnetic shielding module, used to monitor electromagnetic interference during charging in real time and generate electromagnetic shielding instructions; Waveform optimization module, used to generate the optimal charging voltage waveform for efficient and stable charging; The fine-tuning module is used to perform fine-tuning according to the feedback information of the charging state to optimize the charging parameters.

9. A quantum dot-based power adapter, characterized in that: The power adapter comprises: The quantum dot processor is used to analyze the multi-parameter information of the charging process in real time and generate charging parameter adjustment instructions; A quantum dot transmitter, used to transmit the charging parameter adjustment instruction to the control unit of the power charger; A control unit, used for dynamically adjusting the charging voltage and current according to the charging parameter adjustment instruction; Quantum dot materials, used to reduce heat loss and electromagnetic interference during charging; Fault detection module, used to detect the charging circuit status in real time and perform fault diagnosis; An adaptive calibration module for real-time calibration of the quantum dot sensor's measurements; A signal processing module, used for performing noise filtering and data correction on the received charging parameter adjustment instruction; Dynamic thermal management module, used to monitor temperature changes during charging in real time and generate thermal management instructions; Electromagnetic shielding module, used to monitor electromagnetic interference during charging in real time and generate electromagnetic shielding instructions; Waveform optimization module, used to generate the optimal charging waveform to ensure efficient and stable charging process; A fine-tuning module, used to perform fine-tuning according to the feedback information of the charging state to optimize the charging parameters; A storage module is used to store multi-parameter information and charging parameter adjustment instructions during the charging process, and the storage module is integrated in the quantum dot processor.

10. A computer-readable storage medium having a computer-readable program stored thereon, characterized in that: The readable data, when executed by a processor of a computer, implements the quantum dot-based power charging method as described in any one of claims 1 to 7.

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