LED dimmer automatic operation control system and method and storage medium

Abstract

The invention belongs to the field of light modulator control, and relates to a data analysis technology, in particular to an LED light modulator automatic operation control system and method and a storage medium, and the system comprises a control test module, an operation evaluation module, a control optimization module and a storage module, and the control test module, the operation evaluation module and the control optimization module are in communication connection in sequence. The control test module, the operation evaluation module and the control optimization module are all in communication connection with the storage module; according to the method, optimization analysis is carried out on control parameters of the LED light modulator, after data cleaning processing is carried out on an operation set, test periods corresponding to remaining elements in the operation set are extracted and marked, and then an optimization range of the control parameters is generated according to test values of the optimization periods; and performing indentation optimization processing on the standard range of the control parameters of the LED light modulator with the unstable operation state.

Description

Technical Field

[0001] The present invention belongs to the field of dimmer control, involves data analysis technology, and specifically is an automatic operation control system, method and storage medium for an LED dimmer. Background Art

[0002] The principle of an LED dimmer is based on PWM (Pulse Width Modulation) technology. PWM controls the brightness of an LED lamp by changing the time ratio of power supply to the LED lamp. When the PWM signal is at a high level, the LED lamp gets power supply and has a higher brightness. When the PWM signal is at a low level, the LED lamp disconnects the power supply and has a lower brightness.

[0003] The invention patent with the publication number CN115767831A discloses a single - wire dimmer circuit, a dimmer and a lamp power supply control system, which combines a charging circuit to charge a power storage circuit, solves the application problem that the current intelligent single - wire wall dimmer switch cannot use high - power intelligent modules. When the current obtained by the intelligent dimmer switch during module communication is large, it is directly powered by the power storage circuit while the parallel circuit takes power to continuously maintain a small current supplement without affecting the normal operation of the lamp and avoiding abnormal lamp light emission. However, when the LED dimmer operates abnormally, problems such as flickering, circuit noise suppression, and electromagnetic interference will occur, and it is impossible to test and detect the operation state and stability of the dimmer, resulting in the inability to improve its operation stability through parameter control optimization when the dimmer operates unstably.

[0004] In view of the above - mentioned technical problems, this application proposes a solution. Summary of the Invention

[0005] The purpose of the present invention is to provide an automatic operation control system, method and storage medium for an LED dimmer, which is used to solve the problem that the operation state and stability of the dimmer cannot be tested and detected in the prior art.

[0006] The technical problem that the present invention needs to solve is: how to provide an automatic operation control system, method and storage medium for an LED dimmer that can test and detect the operation state and stability of the dimmer.

[0007] The purpose of the present invention can be achieved through the following technical solutions: an automatic operation control system for an LED dimmer includes a control test module, an operation evaluation module, a control optimization module, and a storage module; The control test module is used to test and analyze the control parameters of the LED dimmer: generate a test period and divide the test period into several test time slots, mark the control parameters of the LED dimmer as control object i, where i = 1, 2, …, n, and n is a positive integer. Retrieve the standard range BFᵢ of control object i through the storage module, randomly select a value from the standard range BFᵢ at the start moment of each test time slot as the test value CSi of control object i in the test time slot, and set the value of control object i of the LED dimmer to the test value CSi; The operation evaluation module is used to evaluate and analyze the operation state of the LED dimmer during the test time slot: obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end moment of the test time slot and perform numerical calculations to obtain the operation coefficient YX of the LED dimmer during the test time slot; at the end moment of the test period, sum and average the operation coefficients YX of the LED dimmer during all test time slots to obtain the operation performance value, calculate the variance of the operation coefficients YX of the LED dimmer during all test time slots to obtain the operation stability value, and determine whether the LED dimmer needs control optimization based on the operation performance value and the operation stability value. When control optimization is required, generate a control optimization signal and send the control optimization signal to the control optimization module; The control optimization module is used to optimize and analyze the control parameters of the LED dimmer.

[0008] Furthermore, the noise data SS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test time slot, and a noise instrument is used to directly measure the noise power on the circuit board; the flicker data SS is the minimum value of the dimming frequency when the LED dimmer switches the power supply voltage for dimming during the test time slot; the interference data GR is the maximum value of the electromagnetic interference intensity generated by the LED dimmer during the test time slot, and the spectrum analysis method is used to detect the electromagnetic interference by analyzing the spectrum characteristics of the signal.

[0009] Further, the specific process for determining whether the LED dimmer needs control optimization includes: retrieving the operation performance threshold and operation stability threshold through the storage module, and comparing the operation performance value and operation stability value of the LED dimmer within the test period with the operation performance threshold and operation stability threshold respectively. If the operation performance value is less than the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation status of the LED dimmer within the test period meets the requirements. If the operation performance value is greater than or equal to the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation status of the LED dimmer within the test period does not meet the requirements, a running anomaly signal is generated and the running anomaly signal is sent to the mobile terminal of the management personnel. If the operation stability value is greater than or equal to the operation stability threshold, it is determined that the LED dimmer needs control optimization, and the LED dimmer is marked as an optimization object.

[0010] Further, the specific process for the control optimization module to optimize and analyze the control parameters of the LED dimmer includes: forming an operation set from the operation coefficients YX of the optimization object in all test periods, performing data cleaning processing on the operation set, and after the data cleaning processing, marking the test periods corresponding to all the remaining elements in the operation set as optimization periods. The maximum and minimum values of the test values CSi set for the control object i by the optimization object in all optimization periods form the optimization range YHi of the control object i. The optimization ranges YHi of all control objects i form the optimization parameter set of the optimization object. The optimization parameter set is sent to the storage module. When controlling the optimization object subsequently, the value of the control parameter i of the optimization object is set within the corresponding optimization range YHi.

[0011] Further, the specific process for performing data cleaning processing on the operation set includes: calculating the variance of all elements in the operation set to obtain the stable optimization value, and comparing the stable optimization value with the operation stability threshold. If the stable optimization value is greater than or equal to the operation stability threshold, the largest element in the operation set is removed, and then the stable optimization value is recalculated, and so on until the stable optimization value is less than the operation stability threshold. If the stable optimization value is less than the operation stability threshold, in-depth cleaning of the operation set is performed.

[0012] Further, the specific process for performing in-depth cleaning of the operation set includes: calculating the sum and average value of all elements in the operation set to obtain the operation optimization value, and comparing the operation optimization value with the operation performance threshold. If the operation optimization value is greater than or equal to the operation performance threshold, the largest element in the operation set is removed, and then the operation optimization value is recalculated, and so on until the operation optimization value is less than the operation performance threshold. If the operation optimization value is less than the operation performance threshold, it is determined that the in-depth cleaning is completed.

[0013] The present invention also provides an automatic operation control method for an LED dimmer, comprising the following steps: Step 1: Conduct control parameter test and analysis on the LED dimmer: Generate a test period and divide the test period into several test time slots. Mark the control parameter of the LED dimmer as control object i, and set the value of control object i of the LED dimmer to the test value CSi at the start moment of each test time slot. Step 2: Evaluate and analyze the operation state of the LED dimmer during the test time slot: Obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end moment of the test time slot and perform numerical calculations to obtain the operation performance value and operation stability value. Determine whether control optimization is required for the LED dimmer based on the operation performance value and operation stability value. If necessary, execute Step 3. Step 3: Optimize and analyze the control parameters of the LED dimmer: Form an operation set from the operation coefficients YX of the optimization object in all test time slots, perform numerical calculations on all elements in the operation set to obtain the stable optimization value and operation optimization value, perform data cleaning processing on the operation set through the stable optimization value and operation optimization value, and generate an optimization parameter set from the cleaned operation set.

[0014] The present invention also provides a computer storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the automatic operation control method for the LED dimmer.

[0015] The present invention has the following beneficial effects: 1. Through the control test module, control parameter test and analysis can be conducted on the LED dimmer. In a periodic sub-time slot test manner, the value of the control parameter of the LED dimmer is numerically set at the start moment of each test time slot, and the set values are all within the standard range of the corresponding control parameter, providing data support for the operation evaluation and analysis process. 2. Through the operation evaluation module, the operation state of the LED dimmer during the test time slot can be evaluated and analyzed. The operation coefficients are obtained by statistically calculating multiple operation parameters of the LED dimmer in each test time slot, and then the operation performance value and operation stability value are comprehensively analyzed by combining the operation coefficients of all test time slots. The overall operation state of the LED dimmer during the test period is evaluated through the operation performance value and operation stability value, and control optimization analysis is triggered when its operation stability does not meet the requirements, improving the subsequent operation stability. 3. Through the control optimization module, the control parameters of the LED dimmer can be optimized and analyzed. After data cleaning of the operation set, the test periods corresponding to the remaining elements in the operation set are extracted and marked. Then, the optimization range of the control parameters is generated based on the test values of the optimization period. Furthermore, the standard range of the control parameters of the LED dimmer with unstable operation state is indented and optimized to ensure its subsequent operation state and stability. Description of the Drawings

[0016] 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. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is the system block diagram of Embodiment 1 of the present invention; Figure 2 It is the flowchart of data cleaning of the operation set in Embodiment 1 of the present invention; Figure 3 It is the method flowchart of Embodiment 2 of the present invention. Detailed Embodiments

[0018] The following will clearly and completely describe the technical solutions of the present invention in combination with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0019] Embodiment 1: As Figure 1 shown, an automatic operation control system for an LED dimmer includes a control test module, an operation evaluation module, a control optimization module, and a storage module. The control test module, the operation evaluation module, and the control optimization module are sequentially communicatively connected, and the control test module, the operation evaluation module, and the control optimization module are all communicatively connected to the storage module.

[0020] The control test module is used to test and analyze the control parameters of the LED dimmer: generate a test period and divide the test period into several test time slots. Mark the control parameters of the LED dimmer as control object i, where i = 1, 2, …, n, and n is a positive integer. The control object i includes output voltage, output current, duty cycle, etc. Through the storage module, retrieve the standard range BF i of the control object i. Correspondingly, when the control object i is the output voltage, the corresponding standard range BF i is set to DC0V~10V; when the control object i is the output current, the corresponding standard range BF i is set to 0~20mA; At the beginning of each test time slot, randomly select a value from the standard range BF i as the test value CSi of the control object i during the test time slot, and set the value of the control object i of the LED dimmer to the test value CSi; in the way of periodic time-slot testing, set the numerical value of the control parameter of the LED dimmer at the beginning of each test time slot, and the set numerical values are all within the standard range of the corresponding control parameter, providing data support for the operation evaluation and analysis process.

[0021] The operation evaluation module is used to evaluate and analyze the operation state of the LED dimmer during the test time slot: obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end of the test time slot. The noise data SS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test time slot, and directly measure the noise power on the circuit board using a noise instrument; The flicker data SS is the minimum value of the dimming frequency when the LED dimmer switches the power supply voltage for dimming during the test time slot; the interference data GR is the maximum value of the electromagnetic interference intensity generated by the LED dimmer during the test time slot, and use the spectrum analysis method to detect electromagnetic interference by analyzing the spectrum characteristics of the signal; Obtain the operation coefficient YX of the LED dimmer during the test time slot through the formula YX = k1×ZS + k2×SS + k3×GR, where k1, k2, and k3 are all proportionality coefficients, and k1>k2>k3>1. It should be noted that in the calculation formula of the operation coefficient YX, the noise data ZS, flicker data SS, and interference data GR are all calculated after removing the dimension and taking their numerical values. The operation coefficient YX is a value reflecting the quality of the operation state of the LED dimmer during the test time slot. The larger the value of the operation coefficient YX, the worse the operation state of the LED dimmer during the test time slot; At the end of the test cycle, the operation coefficients YX of the LED dimmer in all test periods are summed and averaged to obtain the operation performance value. The variance of the operation coefficients YX of the LED dimmer in all test periods is calculated to obtain the operation stability value. The operation performance threshold and the operation stability threshold are retrieved through the storage module. The operation performance value and the operation stability value of the LED dimmer in the test cycle are respectively compared with the operation performance threshold and the operation stability threshold: If the operation performance value is less than the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation state of the LED dimmer in the test cycle meets the requirements; If the operation performance value is greater than or equal to the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation state of the LED dimmer in the test cycle does not meet the requirements, an operation anomaly signal is generated and the operation anomaly signal is sent to the mobile terminal of the management personnel; If the operation stability value is greater than or equal to the operation stability threshold, it is determined that the LED dimmer needs control optimization. The LED dimmer is marked as an optimization object, a control optimization signal is generated and the control optimization signal is sent to the control optimization module; The multiple operation parameters of the LED dimmer in each test period are statistically analyzed and calculated to obtain the operation coefficient. Then, the operation performance value and the operation stability value are comprehensively analyzed by combining the operation coefficients of all test periods. The overall operation state of the LED dimmer in the test cycle is evaluated through the operation performance value and the operation stability value, and when its operation stability does not meet the requirements, a control optimization analysis is triggered to improve the subsequent operation stability.

[0022] As Figure 2 shown, the control optimization module is used to optimize and analyze the control parameters of the LED dimmer: the operation coefficients YX of the optimization object in all test periods form an operation set, and data cleaning processing is performed on the operation set: The variance of all elements in the operation set is calculated to obtain the stable optimization value, and the stable optimization value is compared with the operation stability threshold: if the stable optimization value is greater than or equal to the operation stability threshold, the largest element in the operation set is removed, and then the stable optimization value is recalculated, and so on until the stable optimization value is less than the operation stability threshold; if the stable optimization value is less than the operation stability threshold, deep cleaning of the operation set is performed: The sum of all elements in the operation set is averaged to obtain the operation optimization value, and the operation optimization value is compared with the operation performance threshold: if the operation optimization value is greater than or equal to the operation performance threshold, the largest element in the operation set is removed, and then the operation optimization value is recalculated, and so on until the operation optimization value is less than the operation performance threshold; if the operation optimization value is less than the operation performance threshold, it is determined that the deep cleaning is completed.

[0023] Mark the test periods corresponding to all the remaining elements in the running set as optimization periods. The maximum and minimum values of the test values CSi set by the optimization object for the control object i during all the optimization periods form the optimization range YHi of the control object i. The optimization ranges YHi of all the control objects i form the optimization parameter set of the optimization object. Send the optimization parameter set to the storage module. When controlling the optimization object subsequently, set the value of the control parameter i of the optimization object within the corresponding optimization range YHi. After performing data cleaning on the running set, extract and mark the test periods corresponding to the remaining elements in the running set, and then generate the optimization range of the control parameters based on the test values during the optimization periods, thereby performing indentation optimization on the standard range of the control parameters of the LED dimmer with unstable operating state to ensure its subsequent operating state and stability.

[0024] Embodiment 2: As Figure 3 shown, the present invention also proposes an automatic operation control method for an LED dimmer, including the following steps: Step 1: Conduct control parameter test analysis on the LED dimmer: Generate a test period and divide the test period into several test periods. Mark the control parameter of the LED dimmer as the control object i, and set the value of the control object i of the LED dimmer to the test value CSi at the start moment of each test period. Step 2: Evaluate and analyze the operating state of the LED dimmer during the test period: Obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end moment of the test period and perform numerical calculations to obtain the operating performance value and the operating stability value. Determine whether the LED dimmer needs control optimization based on the operating performance value and the operating stability value. If necessary, execute Step 3. Step 3: Conduct optimization analysis on the control parameters of the LED dimmer: The operating coefficients YX of the optimization object during all the test periods form the running set. Perform numerical calculations on all the elements in the running set to obtain the stable optimization value and the operating optimization value. Perform data cleaning on the running set through the stable optimization value and the operating optimization value, and generate the optimization parameter set from the cleaned running set.

[0025] Embodiment 3: As Figures 1-3As shown in the figure, the present invention further includes a readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the above-mentioned automatic operation control method of an LED dimmer. Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to the computer program. The foregoing computer program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments. The foregoing storage medium includes various media such as ROM, RAM, magnetic disk, or optical disc that can store program codes.

[0026] When the present invention is working, it generates a test cycle and divides the test cycle into several test periods. Mark the control parameter of the LED dimmer as the control object i, and set the value of the control object i of the LED dimmer to the test value CSi at the start time of each test period; at the end time of the test period, obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer and perform numerical calculations to obtain the operation performance value and the operation stability value. Determine whether the LED dimmer needs to be controlled and optimized through the operation performance value and the operation stability value. When necessary, form an operation set from the operation coefficients YX of the optimization object in all test periods, perform numerical calculations on all elements in the operation set to obtain the stability optimization value and the operation optimization value, perform data cleaning processing on the operation set through the stability optimization value and the operation optimization value, and generate an optimization parameter set from the cleaned operation set.

[0027] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by those skilled in the art according to the actual situation; for example: the formula YX = k1×ZS + k2×SS + k3×GR; those skilled in the art collect multiple groups of sample data and set corresponding operation coefficients for each group of sample data; substitute the set operation coefficients and the collected sample data into the formula, and any three formulas form a system of linear equations with three variables. Screen the calculated coefficients and take the average value to obtain the values of k1, k2, and k3 as 3.47, 2.82, and 2.51 respectively; The magnitude of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison. Regarding the magnitude of the coefficient, it depends on the amount of sample data and the initial setting of the corresponding operation coefficient for each group of sample data by those skilled in the art; as long as it does not affect the proportional relationship between the parameter and the quantified value, for example, the operation coefficient is proportional to the value of the noise data.

[0028] The above are only examples and descriptions of the structure of the present invention. Those skilled in the art to which the present technology pertains can make various modifications or supplements to the described specific embodiments or use similar methods for substitution. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should all fall within the protection scope of the present invention.

Claims

1. An automatic operation control system for an LED dimmer, characterized in that, It includes a control test module, an operation evaluation module, a control optimization module, and a storage module; The control test module is used to test and analyze the control parameters of the LED dimmer: generate a test period and divide the test period into several test time slots, mark the control parameters of the LED dimmer as control object i, where i = 1, 2, …, n, and n is a positive integer. Retrieve the standard range BFi of control object i from the storage module, randomly select a value from the standard range BFi at the start moment of each test time slot as the test value CSi of control object i in the test time slot, and set the value of control object i of the LED dimmer to the test value CSi; The operation evaluation module is used to evaluate and analyze the operation state of the LED dimmer during the test time slot: obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end moment of the test time slot and perform numerical calculations to obtain the operation coefficient YX of the LED dimmer during the test time slot; At the end of the test period, perform numerical calculations on the operation coefficients YX of the LED dimmer during all test time slots to obtain the operation performance value and the operation stability value. Determine whether the LED dimmer needs to be controlled and optimized based on the operation performance value and the operation stability value. When control optimization is required, generate a control optimization signal and send the control optimization signal to the control optimization module; The control optimization module is used to optimize and analyze the control parameters of the LED dimmer.

2. The automatic operation control system of an LED dimmer according to claim 1, wherein The noise data SS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test time slot, and a noise instrument is used to directly measure the noise power on the circuit board; the flicker data SS is the minimum value of the dimming frequency when the LED dimmer switches the power supply voltage for dimming during the test time slot; the interference data GR is the maximum value of the electromagnetic interference intensity generated by the LED dimmer during the test time slot, and the spectrum analysis method is used to detect electromagnetic interference by analyzing the spectrum characteristics of the signal.

3. The automatic operation control system of an LED dimmer according to claim 2, wherein The process of obtaining the operation performance value and the operation stability value includes: summing and averaging the operation coefficients YX of the LED dimmer during all test time slots to obtain the operation performance value, and calculating the variance of the operation coefficients YX of the LED dimmer during all test time slots to obtain the operation stability value.

4. An automatic operation control system of an LED dimmer according to claim 3, characterized in that, The specific process for determining whether control optimization of the LED dimmer is required includes: retrieving the operation performance threshold and operation stability threshold through the storage module, and comparing the operation performance value and operation stability value of the LED dimmer during the test period with the operation performance threshold and operation stability threshold respectively. If the operation performance value is less than the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation state of the LED dimmer during the test period meets the requirements. If the operation performance value is greater than or equal to the operation performance threshold and the operation stability value is less than the operation stability threshold, it is determined that the overall operation state of the LED dimmer during the test period does not meet the requirements, an operation anomaly signal is generated and the operation anomaly signal is sent to the mobile terminal of the management personnel. If the operation stability value is greater than or equal to the operation stability threshold, it is determined that the LED dimmer requires control optimization, and the LED dimmer is marked as an optimization object.

5. The automatic operation control system of an LED dimmer according to claim 4, wherein The specific process for the control optimization module to optimize and analyze the control parameters of the LED dimmer includes: forming an operation set from the operation coefficients YX of the optimization object during all test periods, performing data cleaning processing on the operation set, and after the data cleaning processing, marking the test periods corresponding to all the remaining elements in the operation set as optimization periods. The maximum and minimum values of the test values CSi set for the control object i by the optimization object during all optimization periods form the optimization range YHi of the control object i. The optimization parameter sets of all control objects i form the optimization parameter set of the optimization object, and the optimization parameter set is sent to the storage module. When controlling the optimization object subsequently, the value of the control parameter i of the optimization object is set within the corresponding optimization range YHi.

6. The automatic operation control system of an LED dimmer according to claim 5, characterized in that, The specific process for performing data cleaning processing on the operation set includes: calculating the variance of all elements in the operation set to obtain the stable optimization value, and comparing the stable optimization value with the operation stability threshold. If the stable optimization value is greater than or equal to the operation stability threshold, the largest element in the operation set is removed, and then the stable optimization value is recalculated, and so on until the stable optimization value is less than the operation stability threshold. If the stable optimization value is less than the operation stability threshold, in-depth cleaning of the operation set is performed.

7. An automatic operation control system for an LED dimmer according to claim 6, characterized in that, The specific process for performing in-depth cleaning of the operation set includes: calculating the sum and average of all elements in the operation set to obtain the operation optimization value, and comparing the operation optimization value with the operation performance threshold. If the operation optimization value is greater than or equal to the operation performance threshold, the largest element in the operation set is removed, and then the operation optimization value is recalculated, and so on until the operation optimization value is less than the operation performance threshold. If the operation optimization value is less than the operation performance threshold, it is determined that the in-depth cleaning is completed.

8. A method for automatically controlling the operation of an LED dimmer, which uses an automatic operation control system for an LED dimmer as described in claim 7, characterized in that, It includes the following steps: Step 1: Perform control parameter test analysis on the LED dimmer: Generate a test period and divide the test period into several test periods. Mark the control parameter of the LED dimmer as the control object i, and set the value of the control object i of the LED dimmer to the test value CSi at the start of each test period. Step 2: Evaluate and analyze the operating status of the LED dimmer during the test period: Obtain the noise data ZS, flicker data SS, and interference data GR of the LED dimmer at the end of the test period, and perform numerical calculations to obtain the operation performance value and operation stability value. Determine whether the LED dimmer needs control optimization based on the operation performance value and operation stability value. If necessary, execute Step 3; Step 3: Optimize and analyze the control parameters of the LED dimmer: The operation coefficients YX of the optimization object in all test periods form an operation set. Perform data cleaning on the operation set, and generate an optimization parameter set from the cleaned operation set.

9. A computer storage medium, on which a computer program is stored, characterized in that, When the program is executed by a processor, it implements the automatic operation control method of the LED dimmer described in claim 8.

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