LED load protection method and system

Abstract

The invention relates to the technical field of electric data processing, and provides an LED load protection method and system, and the method comprises the steps: obtaining a real-time output voltage and a real-time output current of an LED driving power supply, carrying out the convolution operation, weighting processing and abrupt change rate extraction, generating an abnormal factor, a modulation threshold factor and a redundancy coping strategy, and obtaining the real-time output voltage and the real-time output current of the LED driving power supply; and performing direction relativity analysis on the abnormal factor and the modulation threshold factor to obtain an analysis result, combining the analysis result with a redundancy coping strategy to generate a load protection judgment value, and if the load protection judgment value is greater than a preset threshold value, closing the MOS tube and disconnecting the input of the LED driving power supply. Through convolution operation, weighting processing and abrupt change rate extraction of real-time output voltage and real-time output current, protection response lagging and misjudgment of a traditional scheme are avoided, and the problems of low protection precision, response lagging and incapability of identifying potential disturbance in the face of dynamic working conditions such as rapid change, non-linear fluctuation or implicit abnormality are solved.

Description

Technical Field

[0001] This application relates to the technical field of electrical data processing, and in particular, to an LED load protection method and system. Background Art

[0002] With the development of semiconductor lighting technology, LEDs (light-emitting diodes) have been widely used in many fields such as lighting, display, traffic signals, and automotive electronics due to their advantages of high efficiency, low energy consumption, and long lifespan. To ensure the stable operation of LEDs under complex working conditions, the performance requirements for LED driver circuits and control systems are increasing. Especially in application scenarios such as factory automation, aging testing, and intelligent lighting, higher requirements are put forward for the protection ability of LED loads.

[0003] In related technical means, a load protection mechanism is achieved by integrating hardware circuits such as overvoltage protection, overcurrent protection, and thermal protection in the LED driver circuit. Some systems also introduce simple voltage and current detection chips, which cooperate with analog comparators or microcontrollers (MCUs) to determine whether the protection threshold is exceeded, and achieve power-off protection for the LED load by turning off the MOS transistor or cutting off the power supply. Such technical solutions can quickly respond when significant abnormalities occur in the LED load (such as short circuits and severe current overshoots), effectively avoiding circuit damage or LED burnout.

[0004] Regarding the above technical solutions, although basic LED overload protection can be achieved through hardware detection and threshold control mechanisms, in the face of dynamic working conditions such as rapid changes, non-linear fluctuations, or hidden abnormalities, there are problems such as low protection accuracy, response lag, and inability to identify potential disturbances, and it is impossible to accurately distinguish actual load abnormalities from normal current fluctuations, thereby affecting the reliability and service life of LEDs. Summary of the Invention

[0005] In order to improve the problems of low protection accuracy, response lag, and inability to identify potential disturbances in the face of dynamic working conditions such as rapid changes, non-linear fluctuations, or hidden abnormalities, this application provides an LED load protection method and system.

[0006] The present invention provides an LED load protection method, which is applied to an LED test circuit. The LED test circuit includes an LED driving power supply and an MOS transistor, and the method includes: obtaining the real-time output voltage and real-time output current of the LED driving power supply, performing a convolution operation on the real-time output voltage and the real-time output current to obtain a real-time output power and a local disturbance factor; performing a weighting process on the real-time output voltage to obtain a time feature quantity and a delay spread index, extracting a mutation rate of the real-time output current to construct a current response intensity and a response direction coefficient, fusing and encoding the time feature quantity and the response direction coefficient to generate a coupling rate map; generating a phase difference feature spectrum by using the coupling rate map in combination with the delay spread index, performing a cooperative transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor; exponentially amplifying the power deviation index and combining it with the local disturbance factor to generate an anomaly factor, a modulation threshold factor, and a redundant coping strategy; performing a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, and combining the analysis result with the redundant coping strategy to generate a load protection determination value. If the load protection determination value is greater than a preset threshold, the MOS transistor is turned off to disconnect the input of the LED driving power supply.

[0007] As a preferred solution, the step of obtaining the real-time output voltage and real-time output current of the LED driving power supply, performing a convolution operation on the real-time output voltage and the real-time output current to obtain a real-time output power and a local disturbance factor includes: obtaining the real-time output voltage and real-time output current of the LED driving power supply in multiple time periods to construct a voltage sequence and a current sequence; performing a sliding window synchronous matching on the voltage sequence and the current sequence to obtain a voltage-current synchronous alignment matrix, performing a vector dot product calculation and amplitude modulation compensation on the voltage-current synchronous alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence; performing a convolution superposition operation on the basic power sequence and the instantaneous offset power sequence to obtain a real-time output power and a local disturbance factor.

[0008] As a preferred solution, the steps of performing a sliding window synchronization match on the voltage sequence and the current sequence to obtain a voltage-current synchronization alignment matrix, and performing vector dot product calculation and amplitude modulation compensation on the voltage-current synchronization alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence include: slidingly matching the voltage sequence and the current sequence according to a fixed window length to construct a voltage-current synchronization alignment matrix, performing vector dot product operation and sliding mean processing on the voltage-current synchronization alignment matrix to obtain an initial in-frame output power value and an average power reference value; performing weighted exponential fitting based on the average power reference value to construct a basic power sequence; performing residual difference calculation on the output power initial value and the average power reference value to generate an offset residual sequence, and combining the offset residual sequence with the output power initial value to perform dynamic amplitude modulation compensation to generate an instantaneous offset function set; performing peak suppression processing and time series splicing on the instantaneous offset function set to construct an instantaneous offset power sequence.

[0009] As a preferred solution, the steps of performing weighted time series integration processing on the real-time output voltage to obtain a time feature quantity and a delay spread index, extracting a mutation rate from the real-time output current to obtain a current response intensity and a response direction coefficient, and performing fusion coding on the time feature quantity and the response direction coefficient to generate a coupling rate map include: performing exponential weighted integration on the real-time output voltage in chronological order to obtain a weighted integration value and a filtering residual, performing numerical association fitting on the weighted integration value and the filtering residual to obtain a time feature quantity and a delay spread index; using a difference operator to extract the mutation rate from the real-time output current to generate a current response intensity and a response direction coefficient, and performing fusion coding on the time feature quantity and the response direction coefficient to generate a coupling rate map.

[0010] As a preferred solution, the steps of generating a phase difference feature spectrum by combining the coupling rate map and the delay spread index, and performing a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor include: expanding the coupling rate map in a time series to construct a time series delay array, combining the time series delay array and the delay spread index to obtain a phase difference feature spectrum; performing a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain a frequency mapping diagram; performing cross-fitting analysis on the frequency mapping diagram and the basic power sequence to obtain an amplitude offset index and an energy response density function, establishing an offset response joint function according to the energy response density function and the amplitude offset index, and using the offset response joint function to generate a power deviation index and a fluctuation reference factor.

[0011] As a preferred solution, the step of exponentially amplifying the power deviation index and combining it with the local disturbance factor to generate an anomaly factor, a modulation threshold factor, and a redundant coping strategy includes: performing an asymmetric exponential amplification process on the power deviation index, combining the amplified power deviation index with the local disturbance factor to generate an anomaly offset sequence and a non-linear scaling factor; performing an in-window integral smoothing operation on the anomaly offset sequence to obtain a period peak factor, and using the period peak factor to perform a difference reconstruction on the non-linear scaling factor to obtain an anomaly factor and a power fluctuation control parameter; performing a weight normalization fusion on the power fluctuation control parameter and the fluctuation reference factor to obtain a modulation threshold factor and a redundant coping strategy.

[0012] As a preferred solution, the step of performing a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, and combining the analysis result with the redundant coping strategy to generate a load protection determination value includes: performing a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, and using the analysis result to combine with the redundant coping strategy to generate a direction weight matrix; performing a principal component denoising on the direction weight matrix, extracting a principal weight sequence and a reverse correction factor, performing a vector projection on the principal weight sequence and the power deviation index to obtain a bias energy level index; using the reverse correction factor to perform a correction filtering process on the bias energy level index to generate a load protection determination value.

[0013] The present application also provides an LED load protection system, which is applied to an LED test circuit. The LED test circuit includes an LED driving power supply and a MOS transistor, and comprises: an acquisition module, configured to acquire the real-time output voltage and real-time output current of the LED driving power supply, perform a convolution operation on the real-time output voltage and the real-time output current to obtain a real-time output power and a local disturbance factor; an encoding module, configured to perform a weighting process on the real-time output voltage to obtain a time feature quantity and a delay spread index, extract a mutation rate of the real-time output current to construct a current response intensity and a response direction coefficient, fuse and encode the time feature quantity and the response direction coefficient to generate a coupling rate map; a transformation module, configured to generate a phase difference feature spectrum by combining the coupling rate map with the delay spread index, perform a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor; an amplification module, configured to perform an exponential amplification on the power deviation index and combine it with the local disturbance factor to generate an anomaly factor, a modulation threshold factor and a redundant coping strategy; a generation module, configured to perform a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, combine the analysis result with the redundant coping strategy to generate a load protection determination value, and if the load protection determination value is greater than a preset threshold, turn off the MOS transistor to disconnect the input of the LED driving power supply.

[0014] Compared with the prior art, the present application has the following beneficial effects: high protection accuracy and fast response speed. Through the convolution operation, weighting process, mutation rate extraction, feature fusion and collaborative transformation of the real-time output voltage and real-time output current, various abnormal performances of the LED load in dynamic operation can be accurately captured, including mutations, fluctuations and coupling effects of voltage and current. Then, by combining the coupling rate map of voltage and current, analyzing the power deviation and phase difference features, deeper power anomaly features can be obtained. Through exponential amplification, redundant coping strategy and direction relativity analysis, a comprehensive load protection determination value is generated, effectively avoiding the problems of protection response lag and misjudgment in the traditional scheme, and improving the problems of low protection accuracy, response lag and inability to identify potential disturbances in the face of dynamic working conditions such as rapid change, non-linear fluctuation or hidden anomaly. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings without creative efforts.

[0016] The structures, proportions, sizes, etc. depicted in the accompanying drawings of this specification are only used to cooperate with the content disclosed in the specification for those skilled in this technology to understand and read, and are not used to limit the limiting conditions under which the present invention can be implemented. Therefore, they do not have any substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the objectives that can be achieved, should still fall within the scope covered by the technical content disclosed in the present invention.

[0017] Figure 1 It is a schematic flowchart of the LED load protection method provided by an embodiment of the present invention; Figure 2 It is a schematic block diagram of the structure of the LED load protection system provided by an embodiment of the present invention.

[0018] Explanation of reference numerals: 10. LED load protection system; 11. Acquisition module; 12. Encoding module; 13. Transformation module; 14. Amplification module; 15. Generation module. Detailed implementation manners

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] The flowchart shown in the accompanying drawings is only an example for illustration, and does not necessarily include all the contents and operations / steps, nor does it necessarily need to be executed in the described order. For example, some operations / steps can also be decomposed, combined, or partially merged. Therefore, the actual execution order may change according to the actual situation.

[0021] It should also be understood that the terms used in this specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification of the present application and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0022] It should be further understood that the term "and / or" used in this specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the related listed items, and includes these combinations.

[0023] Next, the technical solutions of the present invention will be further described in conjunction with the accompanying drawings and through specific implementation manners.

[0024] Embodiment 1: As Figure 1 shown, a method for protecting an LED load according to the present application is applied to an LED test circuit. The LED test circuit includes an LED driving power supply and a MOS transistor, and includes steps S100 to S500.

[0025] Step S100: Obtain the real-time output voltage and real-time output current of the LED driving power supply, perform a convolution operation on the real-time output voltage and the real-time output current to obtain the real-time output power and the local disturbance factor.

[0026] The output voltage and current of the LED driving power supply are respectively collected in real time through a voltage sensor and a current sensor. Specifically, through a high-precision sampling module, multiple sampling values of the voltage and current within a short time interval (for example, 1 millisecond) are obtained. Subsequently, through a convolution operation on the sampling data, the real-time output power is calculated. The process of the convolution operation combines the voltage and current data streams, and the calculated real-time output power represents the instantaneous energy consumption of the LED load. At the same time, technologies such as wavelet transform introduced in the convolution process can remove noise and enhance the sensitivity to voltage fluctuations, thereby obtaining the local disturbance factor. That is, the local disturbance factor is a numerical quantity describing the degree of short-time non-stationary fluctuation extracted after wavelet analysis based on the power signal after convolution of voltage and current.

[0027] For example, at a certain moment, the real-time output voltage is 5V, but the current surges (such as: 0.8A - 1.2A - 0.6A), and the instantaneous power fluctuates rapidly within a short time. If only looking at the average power value, it is not easy to detect the abnormality. However, the "local disturbance factor" extracted by convolution + wavelet can significantly reflect such "short-time severe disturbances".

[0028] Step S200: Perform a weighted process on the real-time output voltage to obtain the time feature quantity and the delay spread index, extract the mutation rate of the real-time output current to construct the current response intensity and the response direction coefficient, and fuse and encode the time feature quantity and the response direction coefficient to generate a coupling rate map.

[0029] In this step, a weighted time series integration is performed on the real-time output voltage to obtain a time feature quantity. Specifically, a weighted moving average algorithm is used to perform a weighted process on the real-time output voltage, and the weights are allocated according to the amplitude of the voltage fluctuation within the time window, so as to have a higher response sensitivity to rapidly changing voltage signals. At the same time, a delay spread index is calculated to measure the fluctuation delay characteristic of the voltage signal. For the real-time output current, a mutation rate extraction method is used. Specifically, a differential algorithm is used to calculate the instantaneous rate of current change. After the mutation rate is extracted, a gradient boosting method is used to generate the current response intensity and the response direction coefficient. Then, the time feature quantity is fused with the response direction coefficient to construct a coupling rate map between voltage and current, capturing the correlation and mutual influence between voltage and current.

[0030] For example, if the voltage suddenly increases within a short period of time, the time feature quantity obtained by the weighted process will highlight this fluctuation feature; if the current suddenly increases, the mutation rate extraction can immediately reflect the intensity of the current fluctuation, and by constructing the coupling rate map, the relationship between the voltage and current fluctuations can be intuitively displayed. For example, when the voltage rapidly rises, the current mutation rate will also change significantly. At this time, the coupling rate map can effectively provide the coupling trend between the two, helping with subsequent power deviation analysis.

[0031] Step S300: Generate a phase difference feature spectrum by using the coupling rate map in combination with the delay spread index, and perform a co-transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor.

[0032] In this step, the generated coupling rate map and the delay spread index are combined, and through delay matching in the time domain and phase difference conversion in the frequency domain, a phase difference feature spectrum is obtained. Specifically, a phase difference analysis method is used to extract the phase difference between the voltage and current signals, and the delay spread index is combined to consider the hysteresis effect of the voltage signal, and then the phase difference feature spectrum is calculated. Then, a co-transformation is performed on the phase difference feature spectrum and the current response intensity to obtain a power deviation index, indicating the abnormal change trend of the power output. At the same time, the fluctuation reference factor calculated in this process provides a basis for subsequent power regulation and protection judgment.

[0033] For example, at certain instants, if there is a large phase difference between the voltage signal and the current signal, and the delay spread index indicates that the voltage signal lags behind the current signal, the system will generate a significant phase difference feature spectrum and further obtain a power deviation index, showing the power fluctuation of the load. At the same time, the fluctuation reference factor can be calculated by combining the phase difference feature and the current response intensity, indicating whether load protection is required.

[0034] Step S400: Exponentially amplify the power deviation index, combine it with the local disturbance factor to generate an anomaly factor, a modulation threshold factor, and a redundant response strategy.

[0035] In this step, the power deviation index is exponentially amplified to improve the sensitivity to large fluctuations. An exponential amplification function, such as in the form of a power function, is used to weight the deviation. At the same time, the local disturbance factor is combined with the amplified power deviation index to generate an anomaly factor. Specifically, through weighted averaging and weighted exponential functions, the anomaly degree of power fluctuation is combined with the disturbance factor to form a modulation threshold factor and a redundant response strategy. The generation of the modulation threshold factor and the redundant response strategy is achieved through multi-stage filtering and weighted analysis of power fluctuations, providing sufficient decision-making basis for the next protection determination.

[0036] For example, in the case of a large power fluctuation amplitude, by means of exponential amplification, the response to power fluctuations is enhanced, generating a large anomaly factor. When the local disturbance factor reflects an increase in system disturbance within a certain period, combined with the result of exponential amplification, the modulation threshold factor and the redundant response strategy are automatically adjusted, enabling the LED load to respond in a timely manner during instantaneous fluctuations and avoiding misjudgment.

[0037] Step S500: Conduct a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result. Combine the analysis result with the redundant response strategy to generate a load protection determination value. If the load protection determination value is greater than a preset threshold, turn off the MOS transistor to disconnect the input of the LED drive power supply.

[0038] In this step, a direction relativity analysis is conducted on the anomaly factor and the modulation threshold factor to judge their relative change trends in voltage and current fluctuations. Specifically, through matrix analysis methods, the relative change directions of these two factors are judged (for example, when the voltage increases, the trend of current increase) and combined with the redundant response strategy to calculate the load protection determination value. If this value exceeds the preset threshold, the system triggers a protection action, turns off the MOS transistor to cut off the input of the LED drive power supply, preventing the LED load from being damaged due to overload or unstable current and voltage.

[0039] For example, during a certain period, if both the anomaly factor and the modulation threshold factor indicate a high fluctuation risk, through direction relativity analysis, the system will determine that the load enters the protection state, thus triggering the MOS transistor to turn off. At this time, the input of the LED drive power supply is cut off, avoiding further damage to the LED load.

[0040] In this embodiment, by obtaining the real-time output voltage and real-time output current of the LED driving power supply, and performing a convolution operation on the real-time output voltage and the real-time output current, the real-time output power and the local perturbation factor are obtained. Then, the real-time output voltage is weighted to obtain the time feature quantity and the delay spread index, and the mutation rate of the real-time output current is extracted, and then the current response intensity and the response direction coefficient are constructed. Then, the time feature quantity and the response direction coefficient are fusion-encoded to generate a coupling rate map. The phase difference feature spectrum is generated by using the coupling rate map in combination with the delay spread index. Subsequently, the phase difference feature spectrum and the current response intensity are co-transformed to obtain the power deviation index and the fluctuation reference factor. Next, the power deviation index is exponentially amplified and combined with the local perturbation factor to generate the anomaly factor, the modulation threshold factor, and the redundant coping strategy. Finally, the direction relativity analysis is performed on the anomaly factor and the modulation threshold factor to obtain the analysis result, and the analysis result is combined with the redundant coping strategy to generate the load protection determination value. If the load protection determination value is greater than the preset threshold, the MOS transistor is turned off to disconnect the input of the LED driving power supply, thereby realizing the protection of the LED load. By comprehensively using multiple processing means such as convolution operation, weighting processing, mutation rate extraction, feature fusion, and co-transformation of the real-time output voltage and the real-time output current, the dynamic changes and potential anomalies occurring during the operation of the LED load can be accurately identified, and the response speed and accuracy of the protection mechanism are improved. By establishing multi-dimensional data models such as the coupling rate map and the phase difference feature spectrum, the state of the load can be accurately judged under complex working conditions, avoiding the response lag or misjudgment of traditional protection methods in the case of rapid fluctuations or small perturbations, and improving the problems of low protection accuracy, response lag, and inability to identify potential perturbations in the face of dynamic working conditions such as rapid changes, non-linear fluctuations, or hidden anomalies. By combining the direction relativity analysis and the redundant coping strategy, the adaptability of the load protection is enhanced, so that the LED load protection method can more accurately judge and cut off the faulty load in practical applications, thereby effectively ensuring the long-term stable operation of the LED system.

[0041] Embodiment 2: In step S100, the real-time output voltage and real-time output current of the LED driving power supply in multiple time periods are obtained to construct a voltage sequence and a current sequence.

[0042] By using a voltage sensor and a current sensor, the output voltage and current data of the LED driving power supply are collected in real time. Specifically, the voltage sensor is used to monitor the output terminal voltage of the LED driving power supply in real time, while the current sensor is used to obtain the current value of the LED load in real time. These data will be respectively transmitted to the data processing unit, and sensors with a high sampling rate (such as a sampling frequency of 1 kHz) are used to ensure that the instantaneous changes of the voltage and current can be accurately reflected.

[0043] For example, assume that within 1 second, 10 voltage data points and 10 current data points are collected. Each data point represents the instantaneous value of voltage and current. For example, during a certain period, the voltage sequence is [5.1V, 5.3V, 5.0V, 5.2V,...], and the current sequence is [0.8A, 0.79A, 0.82A, 0.80A,...]. The voltage and current data obtained in this way will be used for subsequent processing to form voltage and current sequences, providing a basis for calculation and analysis.

[0044] Perform a sliding window synchronous matching on the voltage sequence and the current sequence to obtain a voltage-current synchronous alignment matrix, and perform a vector dot product calculation and amplitude modulation compensation on the voltage-current synchronous alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence.

[0045] Through sliding window synchronous matching, specifically, divide the voltage sequence and the current sequence into multiple time windows of a fixed length, and ensure that the voltage and current data within each time window are corresponding. The voltage and current data within each window are aligned through linear interpolation or other synchronous matching algorithms to form a voltage-current synchronous alignment matrix. Subsequently, perform a vector dot product calculation on this matrix to obtain the output power for each period, and further perform amplitude modulation compensation to eliminate errors caused by voltage or current fluctuations. These steps help to accurately calculate the power output of the LED load.

[0046] For example, in a fixed time window (such as 20 milliseconds), the voltage sequence is [5.1V, 5.2V, 5.3V], and the current sequence is [0.8A, 0.79A, 0.80A]. After synchronously matching these two sequences, a voltage-current synchronous alignment matrix is obtained. Subsequently, calculate the power value for each time period through a vector dot product operation (such as 5.1V × 0.8A = 4.08W). Then, perform amplitude modulation compensation on these power values, for example, by performing low-pass filtering on the power fluctuations to eliminate instantaneous noise, to obtain a basic power sequence and an instantaneous offset power sequence.

[0047] Among them, the steps of performing a sliding window synchronous matching on the voltage sequence and the current sequence to obtain a voltage-current synchronous alignment matrix, and performing a vector dot product calculation and amplitude modulation compensation on the voltage-current synchronous alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence specifically include: Perform a sliding match on the voltage sequence and the current sequence according to a fixed window length to construct a voltage-current synchronous alignment matrix, and perform a vector dot product operation and a sliding mean processing on the voltage-current synchronous alignment matrix to obtain an initial value of the in-frame output power and an average power reference value.

[0048] A voltage-current synchronous alignment matrix is constructed by slidingly matching a voltage sequence with a current sequence at a fixed window length. Specifically, a suitable window size (e.g., 100 ms or 200 ms) is selected to segment the voltage and current sequences, and it is ensured that the voltage data and current data within each window are time-aligned. Then, the instantaneous power within each window is calculated using the vector dot product operation, and the average power within the window is calculated by the sliding mean method to obtain the basic power sequence.

[0049] For example, within a certain window, assuming the voltage sequence is [5.1 V, 5.2 V, 5.3 V] and the current sequence is [0.8 A, 0.79 A, 0.80 A], the power sequence [4.08 W, 4.11 W, 4.24 W] is obtained through vector dot product calculation. Then, the sliding mean method is used to filter the power sequence to obtain the basic power sequence, such as [4.08 W, 4.12 W, 4.14 W]. Based on this, the average value of the power is calculated and used as the reference value for subsequent compensation operations.

[0050] Based on the average power reference value, weighted exponential fitting is performed to construct the basic power sequence. The residual difference between the initial output power value and the average power reference value is calculated to generate an offset residual sequence. The offset residual sequence is combined with the initial output power value for dynamic amplitude modulation compensation to generate an instantaneous offset function set.

[0051] By performing weighted exponential fitting on the basic power sequence, specifically, using the weighted exponential smoothing method (such as the weighted moving average method) to smooth the power sequence. This process helps to reduce the impact of low-frequency fluctuations and enhance the response to larger fluctuations. Next, the residual difference method is used to calculate the difference between the initial output power value and the average power reference value to obtain the offset residual sequence. Then, through the dynamic amplitude modulation compensation method, the offset residual sequence is adjusted to generate an instantaneous offset function set. This process will dynamically reflect the impact of voltage and current fluctuations on power, thus better adapting to changes under different working conditions.

[0052] For example, for the basic power sequence [4.08 W, 4.12 W, 4.14 W], a smoother power sequence, such as [4.10 W, 4.11 W, 4.13 W], can be obtained through weighted exponential fitting. Then, by calculating the difference between the output power and the reference power, the offset residual sequence [0.02 W, 0.01 W, 0.01 W] is obtained, and it is combined with the output power for dynamic amplitude modulation compensation to generate an instantaneous offset function set. These compensation processes help to maintain the stability of the power sequence in the presence of noise and interference.

[0053] Peak suppression processing and time series splicing are performed on the instantaneous offset function set to construct an instantaneous offset power sequence.

[0054] By performing peak suppression processing on the instantaneous offset function set, specifically, using the peak suppression algorithm to suppress the peak part of the instantaneous offset function set, the power fluctuation is not too drastic. Then, the processed instantaneous offset function set is spliced with the basic power sequence to obtain a complete instantaneous offset power sequence. This sequence reflects the power changes of the LED load in different time periods and effectively adjusts and optimizes the power fluctuation.

[0055] For example, assuming that the instantaneous offset function set is [0.02W, 0.01W, 0.03W], the peak suppression algorithm can reduce the large fluctuation value (such as 0.03W) to a more stable value, such as 0.015W. After splicing, the instantaneous offset power sequence is [4.10W, 4.12W, 4.13W], in which the fluctuation is effectively suppressed, ensuring the stable operation of the LED load.

[0056] The basic power sequence and the instantaneous offset power sequence are convolved and superimposed to obtain the real-time output power and the local disturbance factor.

[0057] Through the convolution superposition operation, the basic power sequence is combined with the instantaneous offset power sequence to obtain the real-time output power. Specifically, the sliding convolution operation is used to perform weighted superposition on the two, so as to take into account the combined impact of the basic power and the instantaneous offset. Through the convolution process, unnecessary high-frequency noise can be filtered out and the main trend of power fluctuation can be retained. The local disturbance factor is the filtering result of the convolution process, which represents the disturbance intensity of the LED load at different time periods.

[0058] For example, assuming that the basic power sequence is [4.10W, 4.12W, 4.13W], and the instantaneous offset power sequence is [0.02W, 0.01W, 0.015W], the real-time output power sequence [4.12W, 4.13W, 4.14W] is obtained through convolution superposition calculation. At the same time, the local disturbance factor is 0.01W, which indicates the degree of power fluctuation.

[0059] In step S200, the real-time output voltage is exponentially weighted integrated in time order to obtain a weighted integral value and a filter residual, and the weighted integral value and the filter residual are numerically correlated and fitted to obtain a time feature value and a delay spread index.

[0060] By performing an exponentially weighted integration of the real-time output voltage in chronological order, specifically, using the exponentially weighted moving average (EWMA) method to weight the real-time voltage signal and calculate the weighted average voltage at each moment. This weighting coefficient gradually decreases according to the time decay law (such as α = 0.1, where α is the weighting factor), thus giving higher weights to recent data. This method can effectively suppress the interference of the voltage signal over a long period of time while retaining the instantaneous change characteristics of the voltage. Combining with peak suppression filtering within a sliding window further eliminates the instantaneous fluctuations in the voltage signal. Peak suppression filtering uses median filtering or a low-pass filter to suppress the burst noise or high-frequency fluctuations in the signal, making the voltage signal more stable, and thus obtaining the weighted integral value and the filtering residual. The weighted integral value reflects the overall change trend of the voltage, while the filtering residual represents the amplitude of the voltage fluctuation after removing the noise.

[0061] For example, for a voltage sequence [5.1V, 5.3V, 5.2V, 5.4V, 5.0V] in a certain period, the weighted integral values [5.2V, 5.25V, 5.18V, 5.28V, 5.15V] are calculated by the exponentially weighted integration method. Subsequently, combining with peak suppression filtering within a sliding window (for example, using median filtering) to filter out short-term surges, a smoothed voltage sequence [5.15V, 5.20V, 5.12V, 5.22V, 5.05V] is obtained, and the filtering residual value is calculated to measure the amplitude of the signal fluctuation.

[0062] Using a difference operator to extract the mutation rate of the real-time output current to generate the current response intensity and the response direction coefficient, and fusing and encoding the time feature quantity with the response direction coefficient to generate a coupling rate map.

[0063] By using a difference operator to extract the mutation rate of the real-time output current, specifically, by calculating the difference between the current signals at adjacent time points (ΔI = I(t) - I(t - 1)) to extract the mutation rate of the current signal. The mutation rate represents the rapid change of the current over time and is a key indicator for judging whether the current undergoes a drastic fluctuation. Then, using a gradient reconstruction function to further analyze the mutation rate, restoring the change trend of the current signal, and generating the current response intensity and the response direction coefficient. The response intensity reflects the amplitude of the current fluctuation, and the response direction coefficient is used to judge the direction of the current fluctuation (for example, increasing or decreasing). Finally, fusing and encoding the time feature quantity (the processing result of the voltage signal) with the current response direction coefficient to generate a coupling rate map, which shows the interaction and change trend between the voltage and the current.

[0064] For example, assume the current sequence is [0.8A, 0.79A, 0.81A, 0.78A, 0.82A]. The mutation rate [0.01A, -0.02A, 0.03A, -0.04A] is calculated through the difference operator. The gradient reconstruction method is used to recover the mutation rate, generating the current response intensity sequence [0.01, 0.02, 0.03, 0.04], and at the same time obtaining the response direction coefficient (e.g., [+1, -1, +1, -1]), which reflects the direction of current fluctuation. Then, the time characteristic quantity (e.g., [5.2V, 5.25V, 5.18V, 5.28V]) is fused with the response direction coefficient to construct a coupling rate map, so as to obtain the coupling strength and variation relationship diagram between voltage and current, and further analyze the dynamic characteristics of the LED load.

[0065] In step S300, the coupling rate map is unfolded according to the time sequence to construct a time series delay array, and the time series delay array and the delay spread index are combined to obtain a phase difference characteristic spectrum.

[0066] By unfolding the coupling rate map according to the time sequence, specifically, first the previously generated coupling rate map is segmented and unfolded in chronological order, and each segment corresponds to the coupling characteristics of the voltage and current signals within a certain time window. The data within each time window will be used as an element of the time series delay array to capture the relative changes and synchronization between voltage and current. The time series delay array is a multi-dimensional data structure that contains the voltage and current coupling information within multiple time periods, and it can help analyze the phase difference and delay effect between voltage and current in different time periods. Next, the time series delay array is combined with the delay spread index. Specifically, the delay spread index can be determined by calculating the time delay difference between the voltage signal and the current signal, and it represents the degree of phase misalignment between signals at different time points. Combining the two can generate a phase difference characteristic spectrum, thereby revealing the phase relationship and time series characteristics between voltage and current in different time periods.

[0067] For example, assume the coupling rate map contains the voltage and current relationships in multiple time periods, such as [V1, I1], [V2, I2], [V3, I3], etc. The time series delay array can be unfolded as [[V1, I1], [V2, I2], [V3, I3],...]. By analyzing the delay spread index (e.g., assume the delay of the voltage signal is 0.1 seconds, while the delay of the current signal is 0.05 seconds) and combining it with the time series delay array, we can calculate the phase difference characteristic spectrum and obtain results similar to [0.1s, 0.05s], which represents the phase difference between voltage and current. This result helps to reveal the lag relationship between voltage and current of the LED driver power supply in different time periods.

[0068] The phase difference characteristic spectrum and the current response intensity are co-transformed to obtain a frequency mapping diagram.

[0069] By co-transforming the phase difference characteristic spectrum and the current response intensity. Specifically, a frequency domain analysis method (such as the fast Fourier transform, FFT) is used to perform frequency domain transformation on the phase difference characteristic spectrum and the current response intensity. The phase difference characteristic spectrum and the current response intensity are used as input signals, and the main frequency components in the signals are extracted through frequency domain analysis. Then, these frequency components are co-transformed with the change trend of the phase difference characteristic spectrum to obtain a frequency mapping diagram. The frequency mapping diagram represents the coupling characteristics of voltage and current in different frequency bands. Through this co-transformation, the frequency response characteristics between voltage and current can be further analyzed, providing an accurate basis for power protection and adjustment.

[0070] For example, assume the phase difference characteristic spectrum is [0.1s, 0.05s] and the current response intensity is [0.1, 0.3, 0.5]. Using the fast Fourier transform, these signals are transformed into the frequency domain to obtain a frequency mapping diagram [f1, f2, f3], representing the response characteristics in different frequency bands.

[0071] The frequency mapping diagram and the basic power sequence are cross-fitted and analyzed to obtain the amplitude offset index and the energy response density function. An offset response joint function is established based on the energy response density function and the amplitude offset index, and the power deviation index and the fluctuation reference factor are generated using the offset response joint function.

[0072] By cross-fitting and analyzing the frequency mapping diagram and the basic power sequence. Specifically, a fitting algorithm (such as the least squares method or the weighted least squares method) is used to fit the frequency mapping diagram and the basic power sequence to find the relationship between frequency change and power output. The fitting process will provide the amplitude offset index, indicating the amplitude change of power fluctuation in different frequency bands. By analyzing these changes, the energy response density function is calculated, reflecting the intensity and energy distribution of power fluctuation. Further, the energy response density function and the amplitude offset index are combined to construct an offset response joint function, which synthesizes the frequency characteristics and amplitude characteristics of power fluctuation and can accurately characterize the power abnormality of the LED load. Through this joint function, the power deviation index and the fluctuation reference factor are generated to monitor the load status of the system and provide a basis for subsequent protection decisions.

[0073] For example, let the frequency mapping diagram be [f1, f2, f3], and the base power sequence be [4.0W, 4.2W, 4.1W]. Through cross-fitting, the amplitude offset indices [0.1, 0.05, 0.15] can be obtained, which represent the power fluctuation amplitudes in different frequency bands. By calculating the energy response density function, the energy response of a certain frequency band is obtained as 0.2W. Then, based on these results, a combined offset response function is established to generate a power deviation index (such as 0.25W) and a fluctuation reference factor (such as 0.1) for further load protection decisions.

[0074] In step S400, the power deviation index is processed by asymmetric exponential amplification, and the amplified power deviation index is combined with the local perturbation factor to generate an abnormal offset sequence and a non-linear scaling factor.

[0075] By performing asymmetric exponential amplification on the power deviation index, specifically, first, the exponential function is applied to the power deviation index (i.e., the value representing power fluctuation) for amplification, and the asymmetric exponential amplification algorithm is used to enhance the response to larger deviations. Asymmetric exponential amplification means that when the power deviation is large, a larger exponential weighting coefficient is adopted, while when the deviation is small, a smaller exponential weighting coefficient is adopted. This strategy can effectively increase the sensitivity of the system to larger power fluctuations. Specifically, an exponential amplification function similar to y = a*(e^(b*x)-1) can be used, where a and b are adjustment factors, and x is the power deviation index. Then, the amplified power deviation index is combined with the local perturbation factor (used to describe the local interference intensity during power fluctuation). The local perturbation factor is obtained through short-time analysis of power fluctuations, and it reflects the small fluctuations of power within a local time period. Combining these two generates an abnormal offset sequence and a non-linear scaling factor to further adjust the control range of power fluctuations.

[0076] For example, assume the power deviation index is [0.2W, 0.4W, 0.1W]. Through asymmetric exponential amplification processing, using the amplification function y = 0.5*(e^(0.8*x)-1) for calculation, the amplified power deviation is [0.2W, 0.6W, 0.08W]. Then, the amplified power deviation is combined with the local perturbation factor (such as [0.02W, 0.03W, 0.01W]) to generate an abnormal offset sequence [0.22W, 0.63W, 0.09W], and a corresponding non-linear scaling factor is generated to further provide a basis for subsequent compensation and adjustment.

[0077] The abnormal offset sequence is subjected to in-window integral smoothing operation to obtain a time-period peak factor, and the non-linear scaling factor is reconstructed by interpolation using the time-period peak factor to obtain an abnormal factor and a power fluctuation control parameter.

[0078] By performing in-window integration smoothing on the abnormal offset sequence. Specifically, the abnormal offset sequence is smoothed through a sliding window to eliminate instantaneous peak noise in the short term. For example, a simple moving average method or a weighted average method can be used to smooth the abnormal offset sequence [0.22W, 0.63W, 0.09W] to obtain the period peak factor (indicating the degree of power fluctuation after smoothing). The period peak factor is a peak index comprehensively calculated based on power data in multiple periods, which can effectively balance instantaneous fluctuations and long-term periodic fluctuations. Then, the non-linear scaling factor is reconstructed by taking the difference using the period peak factor. Specifically, by smoothing the non-linear scaling factor, an adjustment coefficient is calculated, thereby generating the abnormal factor and the power fluctuation control parameter.

[0079] For example, the abnormal offset sequence [0.22W, 0.63W, 0.09W] is smoothed using the moving average method to obtain the smoothed sequence [0.25W, 0.55W, 0.3W], and then the period peak factor [0.5W, 0.6W, 0.45W] is calculated, representing the peak of power fluctuation in each time period. Then, the non-linear scaling factor is reconstructed by taking the difference using the period peak factor to obtain the final abnormal factor and the power fluctuation control parameter for formulating subsequent control strategies.

[0080] The power fluctuation control parameter and the fluctuation reference factor are weighted and normalized to obtain the modulation threshold factor and the redundant response strategy.

[0081] By performing weighted normalization on the power fluctuation control parameter and the fluctuation reference factor. Specifically, weight normalization is a technique for uniformly adjusting data from different sources to make the influence of different data within the same range. The power fluctuation control parameter and the fluctuation reference factor are weighted and calculated according to a predetermined weight, and then through normalization processing, they have the same dimension and ratio. After weight normalization, the modulation threshold factor and the redundant response strategy are obtained, and these two parameters play a key role in the system load protection decision. The modulation threshold factor is an index used to determine whether the current power fluctuation exceeds the normal range, while the redundant response strategy is a safety mechanism designed to cope with abnormal situations in the system, providing additional protection measures.

[0082] For example, assuming the power fluctuation control parameter is [0.5W, 0.8W, 1.0W], the fluctuation reference factor is [0.2W, 0.5W, 0.7W], and the weight is set to [0.7, 0.3]. After normalization processing, the modulation threshold factor [0.6W, 0.75W, 1.05W] and the redundant response strategy [0.1W, 0.2W, 0.3W] are obtained. These calculated parameters will be used for subsequent load protection decisions to ensure that the system can respond correctly when the power fluctuation is abnormal.

[0083] In step S500, a direction relativity analysis is performed on the anomaly factor and the modulation threshold factor to obtain an analysis result, and the analysis result is combined with the redundancy coping strategy to generate a direction weight matrix.

[0084] By performing a direction relativity analysis on the anomaly factor and the modulation threshold factor, specifically, first, the relative relationship between the two is evaluated according to the change directions of voltage fluctuation and current response intensity. By calculating the directional difference between the anomaly factor and the modulation threshold factor, it is judged whether they show the same or opposite changes during the power change process. At this time, methods such as Pearson correlation coefficient or cosine similarity can be used for directional evaluation to obtain the directional analysis results of the two factors. This step can reveal the causes and trends of power fluctuations in the system, thereby helping to identify whether there are potential overloads or other abnormal conditions. By combining these directional analysis results with the redundancy coping strategy, a direction weight matrix is constructed, which describes the relative weights and influence degrees between each factor.

[0085] For example, assume the anomaly factor is [0.3W, 0.5W, 0.6W] and the modulation threshold factor is [0.1W, 0.4W, 0.5W]. Through directional analysis (such as calculating the Pearson correlation coefficient), the correlation between them is obtained as 0.9, indicating that they are generally consistent in the change trend. Then, the redundancy coping strategy (such as [0.2W, 0.1W, 0.3W]) is used to weight the analysis result to obtain the direction weight matrix (such as [[0.7, 0.3], [0.5, 0.5], [0.8, 0.2]]), which shows the weight distribution between each pair of factors.

[0086] Perform principal component denoising on the direction weight matrix, extract the main weight sequence and the reverse correction factor, and perform vector projection on the main weight sequence and the power deviation index to obtain the bias energy level index.

[0087] By performing principal component denoising on the direction weight matrix, specifically, the principal component analysis (PCA) method is used to perform dimensionality reduction processing on the direction weight matrix. The PCA method can help remove the noise in the high-dimensional data, extract the most important components in the matrix, reduce unnecessary complexity, and at the same time retain the main features of the data. Through this process, the main weight sequence is extracted, which represents the most important factors in the system and their relative contributions in power protection. Then, the main weight sequence is corrected by the reverse correction factor, and the reverse correction factor is a coefficient generated based on the anomaly detection and signal analysis process, which is used to adjust the main weight sequence to ensure that it more conforms to the characteristics of the actual power fluctuation. Finally, using the vector projection method, the main weight sequence and the power deviation index are projected and calculated to obtain the bias energy level index, which represents the deviation degree of the current load state of the system and provides a reference for subsequent protection decisions.

[0088] For example, assume the direction weight matrix is [[0.7, 0.3], [0.5, 0.5], [0.8, 0.2]]. After PCA processing, the main weight sequence [0.65, 0.45, 0.75] is obtained. These weights represent the main influencing factors of voltage, current, and power fluctuations on the system. Then, the inverse correction factor [0.1, 0.2, 0.15] is applied to adjust the main weight sequence, resulting in the corrected weight sequence [0.7, 0.5, 0.8]. By performing vector projection with the power deviation indicators [0.2W, 0.5W, 0.7W], the bias energy level indicators [0.55W, 0.72W, 0.64W] are calculated. These indicators are the current deviation metrics of the system load status.

[0089] The inverse correction factor is used to perform correction filtering on the bias energy level indicators to generate the load protection determination value.

[0090] By using the inverse correction factor to perform correction filtering on the bias energy level indicators, specifically, filtering algorithms such as low-pass filtering or Kalman filtering are used to smooth the bias energy level indicators. The purpose of the correction filtering process is to remove noise in the signal, enhance the stability of the signal, and dynamically adjust the original signal according to the correction factor to ensure that the result is smoother and more accurate. Through this process, the final load protection determination value is generated. This value indicates whether the current state of the system reaches the threshold that requires protection. If the determination value exceeds the set safety threshold, the protection mechanism is triggered to turn off the input of the LED drive power supply.

[0091] For example, assume the bias energy level indicators are [0.55W, 0.72W, 0.64W] and the inverse correction factor is [0.1, 0.2, 0.15]. After processing them through low-pass filtering, the corrected indicators [0.6W, 0.75W, 0.68W] are obtained. Finally, according to the preset threshold of 0.7W, the load protection determination value [0.6W, 0.75W, 0.68W] is generated. If these values exceed the preset threshold, protection is triggered to turn off the input of the MOS transistor to cut off the LED drive power supply.

[0092] In this embodiment, an efficient LED load protection method is proposed by comprehensively applying technical means such as convolution operation, weighted processing, mutation rate extraction, and multi-dimensional data fusion of real-time voltage and current data. First, by obtaining the real-time output voltage and current data of the LED driver power supply, the real-time power and local disturbance factor are obtained through convolution operation, so as to accurately capture power fluctuations and load changes. Then, the voltage and current signals are further processed by weighted integration and mutation rate extraction, a voltage-current coupling rate map is constructed, and based on this, a phase difference feature spectrum analysis is carried out to reveal the lag relationship between voltage and current. Subsequently, a frequency domain analysis and a power fluctuation control algorithm are adopted to accurately generate a power deviation index and a fluctuation reference factor, effectively capturing the amplitude and frequency characteristics of power fluctuations. Finally, through the combination of correction filtering, principal component analysis, and directional analysis, a final load protection determination value is generated, which is used to trigger the safety protection mechanism of the LED driver power supply. The entire scheme can accurately judge the working state of the LED load under dynamic conditions, avoid the problems of lagging protection response or misjudgment in traditional technologies, and ensure the stability and safety of the system under complex fluctuation conditions. Through this innovative multi-level data processing and analysis method, the intelligent level and response speed of LED load protection are significantly improved, ensuring the safe operation of the LED load in various working environments.

[0093] Embodiment 3: As Figure 2 shown, the present application also provides an LED load protection system 10, which is applied to an LED test circuit. The LED test circuit includes an LED driver power supply and a MOS transistor, and includes an acquisition module 11, an encoding module 12, a transformation module 13, an amplification module 14, and a generation module 15.

[0094] The acquisition module 11 is mainly used to obtain the real-time output voltage and real-time output current of the LED driver power supply, and perform a convolution operation on the real-time output voltage and the real-time output current to obtain the real-time output power and the local disturbance factor.

[0095] The encoding module 12 is mainly used to perform weighted processing on the real-time output voltage to obtain a time feature quantity and a delay spread index, extract the mutation rate of the real-time output current to construct a current response intensity and a response direction coefficient, fuse and encode the time feature quantity and the response direction coefficient, and generate a coupling rate map.

[0096] The transformation module 13 is mainly used to generate a phase difference feature spectrum by combining the coupling rate map with the delay spread index, and perform a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor.

[0097] The amplification module 14 is mainly used to exponentially amplify the power deviation index, and combine it with the local perturbation factor to generate an anomaly factor, a modulation threshold factor, and a redundant response strategy.

[0098] The generation module 15 is mainly used to perform a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, combine the analysis result with the redundant response strategy to generate a load protection determination value. If the load protection determination value is greater than a preset threshold, the MOS transistor is turned off to disconnect the input of the LED drive power supply.

[0099] In this embodiment, by constructing the LED load protection system 10 including the acquisition module 11, the encoding module 12, the transformation module 13, the amplification module 14, and the generation module 15, the functions of dynamically identifying power fluctuations and precisely protecting the LED test circuit are realized. The acquisition module 11 accurately generates the real-time output power and the local perturbation factor through the acquisition and convolution operation of the real-time voltage and current, effectively capturing the instantaneous change characteristics in the power signal and providing a basis for subsequent data processing; the encoding module 12 constructs the time feature quantity and the current response intensity respectively through weighted processing and mutation rate extraction, and fuses and encodes the two to generate a coupling rate map, revealing the multi-dimensional correlation characteristics between the voltage and current in the LED drive power supply; the transformation module 13 performs a frequency domain analysis on the coupling rate map combined with the delay spread index to generate a phase difference feature spectrum, and performs a collaborative transformation combined with the current response intensity to calculate the power deviation index and the fluctuation reference factor, so as to comprehensively reflect the operating state and potential abnormal trends of the load; the amplification module 14 uses the power deviation index to non-linearly enhance key parameters such as the anomaly factor and the redundant response strategy, and further amplifies and corrects the power fluctuation combined with the local perturbation factor, improving the accuracy and response speed of anomaly detection; the generation module 15 generates the load protection determination value finally through the direction relativity analysis and multi-level weight fusion of the modulation threshold factor and the anomaly factor, and when the determination value exceeds the safety threshold, the input of the LED drive power supply is cut off by controlling the MOS transistor to achieve precise and reliable load protection.

[0100] It should be noted that those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described system and each module can refer to the corresponding processes in the foregoing Embodiment 1, and will not be elaborated here.

[0101] The structures, proportions, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those skilled in this technology to understand and read, and are not used to limit the qualified conditions for the implementation of the present invention. Therefore, they do not have substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope that can be covered by the technical content disclosed in the present invention.

[0102] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An LED load protection method is applied to an LED test circuit. The LED test circuit includes an LED driving power supply and a MOS transistor, and is characterized in that Including: Obtain the real-time output voltage and real-time output current of the LED driver power supply, perform a convolution operation on the real-time output voltage and the real-time output current to obtain the real-time output power and the local disturbance factor; Perform a weighting process on the real-time output voltage to obtain the time feature quantity and the delay spread index, extract the mutation rate of the real-time output current to construct the current response intensity and the response direction coefficient, fuse and encode the time feature quantity and the response direction coefficient to generate the coupling rate map; Use the coupling rate map to combine with the delay spread index to generate the phase difference feature spectrum, perform a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain the power deviation index and the fluctuation reference factor; Exponentially amplify the power deviation index and combine it with the local disturbance factor to generate the anomaly factor, the modulation threshold factor and the redundant coping strategy; Perform a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain the analysis result, combine the analysis result with the redundant coping strategy to generate the load protection determination value, if the load protection determination value is greater than the preset threshold, then turn off the MOS transistor to disconnect the input of the LED driver power supply.

2. The LED load protection method according to claim 1, wherein, The step of obtaining the real-time output voltage and real-time output current of the LED driver power supply, performing a convolution operation on the real-time output voltage and the real-time output current to obtain the real-time output power and the local disturbance factor includes: Obtain the real-time output voltage and real-time output current of the LED driver power supply in multiple time periods to construct a voltage sequence and a current sequence; Perform a sliding window synchronous matching on the voltage sequence and the current sequence to obtain a voltage-current synchronous alignment matrix, perform a vector dot product calculation and amplitude modulation compensation on the voltage-current synchronous alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence; Perform a convolution superposition operation on the basic power sequence and the instantaneous offset power sequence to obtain the real-time output power and the local disturbance factor.

3. The LED load protection method according to claim 2, characterized in that, The step of performing a sliding window synchronous matching on the voltage sequence and the current sequence to obtain a voltage-current synchronous alignment matrix, performing a vector dot product calculation and amplitude modulation compensation on the voltage-current synchronous alignment matrix to obtain a basic power sequence and an instantaneous offset power sequence includes: Perform a sliding matching on the voltage sequence and the current sequence according to a fixed window length to construct a voltage-current synchronous alignment matrix, perform a vector dot product operation and a sliding mean processing on the voltage-current synchronous alignment matrix to obtain the initial value of the in-frame output power and the average power reference value; Based on the average power reference value, perform a weighted exponential fitting to construct a basic power sequence; Perform a residual difference calculation on the output power initial value and the average power reference value to generate an offset residual sequence, combine the offset residual sequence with the output power initial value for dynamic amplitude modulation compensation to generate an instantaneous offset function set; Perform a peak suppression process and a time series splicing on the instantaneous offset function set to construct an instantaneous offset power sequence.

4. The LED load protection method according to claim 1, wherein, The step of performing weighted time series integration processing on the real-time output voltage to obtain a time feature quantity and a delay spread index, extracting a mutation rate from the real-time output current to obtain a current response intensity and a response direction coefficient, and fusing and encoding the time feature quantity and the response direction coefficient to generate a coupling rate map includes: Performing exponential weighted integration on the real-time output voltage in chronological order to obtain a weighted integration value and a filtering residual, numerically associating and fitting the weighted integration value and the filtering residual to obtain a time feature quantity and a delay spread index; Using a difference operator to extract the mutation rate from the real-time output current to generate a current response intensity and a response direction coefficient, and fusing and encoding the time feature quantity and the response direction coefficient to generate a coupling rate map.

5. The LED load protection method according to claim 2, wherein The step of generating a phase difference feature spectrum by combining the coupling rate map with the delay spread index, and performing a co-transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor includes: Expanding the coupling rate map in time series to construct a time series delay array, and combining the time series delay array and the delay spread index to obtain a phase difference feature spectrum; Performing a co-transformation on the phase difference feature spectrum and the current response intensity to obtain a frequency mapping diagram; Performing cross-fitting analysis on the frequency mapping diagram and the basic power sequence to obtain an amplitude offset index and an energy response density function, establishing an offset response joint function according to the energy response density function and the amplitude offset index, and generating a power deviation index and a fluctuation reference factor by using the offset response joint function.

6. The LED load protection method according to claim 1, wherein, The step of exponentially amplifying the power deviation index and combining it with the local perturbation factor to generate an anomaly factor, a modulation threshold factor, and a redundant coping strategy includes: Performing an asymmetric exponential amplification process on the power deviation index, and combining the amplified power deviation index with the local perturbation factor to generate an anomaly offset sequence and a non-linear scaling factor; Performing an in-window integral smoothing operation on the anomaly offset sequence to obtain a period peak factor, and reconstructing the difference of the non-linear scaling factor by using the period peak factor to obtain an anomaly factor and a power fluctuation control parameter; Performing weight normalization fusion on the power fluctuation control parameter and the fluctuation reference factor to obtain a modulation threshold factor and a redundant coping strategy.

7. The LED load protection method according to claim 1, wherein, The step of performing a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, and combining the analysis result with the redundant coping strategy to generate a load protection determination value includes: Performing a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, and combining the analysis result with the redundant coping strategy to generate a direction weight matrix; Performing principal component denoising on the direction weight matrix, extracting a principal weight sequence and a reverse correction factor, and performing vector projection on the principal weight sequence and the power deviation index to obtain a bias energy level index; Performing correction filtering processing on the bias energy level index by using the reverse correction factor to generate a load protection determination value.

8. An LED load protection system is applied to an LED test circuit. The LED test circuit includes an LED driving power supply and a MOS transistor, and is characterized in that Including: An acquisition module, configured to acquire the real-time output voltage and real-time output current of the LED driving power supply, perform a convolution operation on the real-time output voltage and the real-time output current to obtain a real-time output power and a local perturbation factor; An encoding module, configured to perform weighted processing on the real-time output voltage to obtain a time feature quantity and a delay spread index, extract a mutation rate of the real-time output current to construct a current response intensity and a response direction coefficient, fuse and encode the time feature quantity and the response direction coefficient to generate a coupling rate map; A transformation module, configured to generate a phase difference feature spectrum by combining the coupling rate map with the delay spread index, and perform a collaborative transformation on the phase difference feature spectrum and the current response intensity to obtain a power deviation index and a fluctuation reference factor; An amplification module, configured to perform exponential amplification on the power deviation index and combine it with the local perturbation factor to generate an anomaly factor, a modulation threshold factor, and a redundant coping strategy; A generation module, configured to perform a direction relativity analysis on the anomaly factor and the modulation threshold factor to obtain an analysis result, combine the analysis result with the redundant coping strategy to generate a load protection determination value, and if the load protection determination value is greater than a preset threshold, turn off the MOS transistor to disconnect the input of the LED driving power supply.

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