LED dimmer automatic operation control system, method and storage medium

Abstract

The present invention belongs to the field of dimmer control and relates to data analysis technology. Specifically, it is an automatic operation control system, method and storage medium for an LED dimmer, which 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 communicatively connected in sequence, and the control test module, the operation evaluation module and the control optimization module are all communicatively connected to the storage module. The present invention optimizes and analyzes the control parameters of the LED dimmer, extracts and marks the test time periods corresponding to the remaining elements in the operation set after data cleaning processing is performed on the operation set, and then generates an optimized range of the control parameters based on the test values of the optimized period, and performs indentation optimization processing on the standard range of the control parameters of the LED dimmer with an unstable operation state.

Description

Technical Field

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

[0002] The principle of LED dimmer is based on PWM (pulse width modulation) technology. PWM controls the brightness of LED lights by changing the proportion of time the power supply is supplied to the LED lights. When the PWM signal is at a high level, the LED lights are powered by the power supply and the brightness is higher. When the PWM signal is at a low level, the LED lights are disconnected from the power supply and the brightness is lower.

[0003] Patent publication number CN115767831A discloses a single-live-wire dimmer circuit, dimmer, and lighting power supply control system. This circuit combines a charging circuit with a power storage circuit to address the current problem of intelligent single-live-wire wall dimmer switches being unable to use high-power smart modules. When the intelligent dimmer switch draws a large current while establishing communication with the module, the power storage circuit directly supplies it with power, while a parallel circuit simultaneously draws a small amount of power to maintain the current, without affecting the normal operation of the lamp and preventing abnormal lighting.

[0004] However, when LED dimmers operate abnormally, they may produce flickering, circuit suppression noise, and electromagnetic interference. This makes it impossible to test and detect the operating status and stability of the dimmers. As a result, when the dimmers operate unstable, it is impossible to improve their operating stability through parameter control optimization.

[0005] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0006] The object of the present invention is to provide an automatic operation control system, method and storage medium for an LED dimmer, which are used to solve the problem in the prior art that the operating status and stability of the dimmer cannot be tested and detected.

[0007] The technical problem to be solved by the present invention is: how to provide an automatic operation control system, method and storage medium for an LED dimmer that can test and detect the operating status and stability of the dimmer.

[0008] The object of the present invention can be achieved by the following technical solutions: An automatic operation control system for an LED dimmer, comprising a control test module, an operation evaluation module, a control optimization module, and a storage module;

[0009] The control test module is used to test and analyze the control parameters of the LED dimmer: generate a test cycle and divide the test cycle into a number of test periods, mark the control parameters of the LED dimmer as control object i, i=1, 2, ..., n, where n is a positive integer, call the standard range BFi of control object i through the storage module, randomly select a value from the standard range BFi at the beginning of each test period as the test value CSi of control object i in the test period, and set the value of control object i of the LED dimmer to the test value CSi;

[0010] The operation evaluation module is used to evaluate and analyze the operation status of the LED dimmer during the test period: at the end of the test period, the noise data ZS, flicker data SS, and interference data GR of the LED dimmer are obtained and numerically calculated to obtain the operation coefficient YX of the LED dimmer during the test period; at the end of the test cycle, the operation coefficient YX of the LED dimmer in all test periods is summed and averaged to obtain an operation performance value, and the variance of the operation coefficient YX of the LED dimmer in all test periods is calculated to obtain an operation stability value. Whether the LED dimmer needs control optimization is determined based on the operation performance value and the operation stability value. If control optimization is required, a control optimization signal is generated and sent to the control optimization module;

[0011] The control optimization module is used to optimize and analyze the control parameters of the LED dimmer.

[0012] Furthermore, the noise data SS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test period, and the noise power on the circuit board is directly measured 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 period; the interference data GR is the maximum value of the electromagnetic interference intensity generated by the LED dimmer during the test period, and the spectrum analysis method is used to detect electromagnetic interference by analyzing the spectral characteristics of the signal.

[0013] Furthermore, the specific process of determining whether the LED dimmer needs to be controlled and optimized includes: retrieving the operation performance threshold and the operation stability threshold through the storage module, and comparing the operation performance value and the operation stability value of the LED dimmer during the test cycle with the operation performance threshold and the 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, then it is determined that the overall operation status of the LED dimmer during 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, then it is determined that the overall operation status of the LED dimmer during the test cycle does not meet the requirements, an operation abnormality signal is generated and the operation abnormality signal is sent to the mobile phone terminal of the administrator; if the operation stability value is greater than or equal to the operation stability threshold, then it is determined that the LED dimmer needs to be controlled and optimized, and the LED dimmer is marked as an optimization object.

[0014] Furthermore, the specific process of the control optimization module optimizing and analyzing the control parameters of the LED dimmer includes: forming an operating set from the operating coefficient YX of the optimization object in all test time periods, performing data cleaning processing on the operating set, marking the test time periods corresponding to all remaining elements in the operating set after the data cleaning processing as optimization time periods, forming the optimization range YHi of the control object i from the maximum and minimum values of the test values CSi set for the control object i by the optimization object in all optimization time periods, forming the optimization parameter set of the optimization object from the optimization ranges YHi of all control objects i, sending the optimization parameter set to the storage module, and when the optimization object is subsequently controlled, setting the value of the control parameter i of the optimization object within the corresponding optimization range YHi.

[0015] Furthermore, the specific process of data cleaning processing of the running set includes: performing variance calculation on all elements in the running set to obtain a stable optimization value, and comparing the stable optimization value with the running stability threshold: if the stable optimization value is greater than or equal to the running stability threshold, the largest element in the running set is eliminated, and then the stable optimization value is recalculated, and so on, until the stable optimization value is less than the running stability threshold; if the stable optimization value is less than the running stability threshold, the running set is deeply cleaned.

[0016] Furthermore, the specific process of deep cleaning the running set includes: summing and averaging all elements in the running set to obtain the running optimization value, and comparing the running optimization value with the running performance threshold: if the running optimization value is greater than or equal to the running performance threshold, the largest element in the running set is eliminated, and then the running optimization value is recalculated, and so on, until the running optimization value is less than the running performance threshold; if the running optimization value is less than the running performance threshold, it is determined that the deep cleaning is completed.

[0017] The present invention also provides a method for controlling automatic operation of an LED dimmer, comprising the following steps:

[0018] Step 1: Test and analyze the control parameters of the LED dimmer: Generate a test cycle and divide it into several test periods. Label the control parameters of the LED dimmer as control object i. At the beginning of each test period, set the value of the control object i of the LED dimmer to the test value CSi.

[0019] Step 2: Evaluate and analyze the operating status of the LED dimmer during the test period: At the end of the test period, obtain the LED dimmer's noise data ZS, flicker data SS, and interference data GR and perform numerical calculations to obtain the operating performance value and operating stability value. Use these values to determine whether the LED dimmer requires control optimization. If necessary, proceed to step 3.

[0020] Step 3: Optimize and analyze the control parameters of the LED dimmer: The operating coefficient YX of the optimization object in all test periods constitutes an operating set. Numerical calculations are performed on all elements in the operating set to obtain stable optimization values and operating optimization values. The operating set is cleaned using the stable optimization values and operating optimization values, and the optimized parameter set is generated from the cleaned operating set.

[0021] The present invention also provides a computer storage medium on which a computer program is stored. When the program is executed by a processor, the automatic operation control method of the LED dimmer is implemented.

[0022] The present invention has the following beneficial effects:

[0023] 1. The control test module can be used to test and analyze the control parameters of the LED dimmer. In a periodic test mode, the control parameters of the LED dimmer are set at the beginning of each test period. The set values are all within the standard range of the corresponding control parameters, providing data support for the operation evaluation and analysis process.

[0024] 2. The operation evaluation module can evaluate and analyze the operating status of the LED dimmer during the test period. The multiple operating parameters of the LED dimmer in each test period are statistically analyzed and calculated to obtain the operating coefficient. Then, the operating coefficients of all test periods are comprehensively analyzed to obtain the operating performance value and operating stability value. The operating performance value and operating stability value are used to evaluate the overall operating status of the LED dimmer during the test cycle. If its operating stability does not meet the requirements, control optimization analysis is triggered to improve subsequent operating stability.

[0025] 3. The control optimization module can be used to optimize and analyze the control parameters of the LED dimmer. After data cleaning of the operating set, the test periods corresponding to the remaining elements in the operating set are extracted and marked. Then, the optimized range of the control parameters is generated based on the test values of the optimized period. The standard range of the control parameters of the LED dimmer with unstable operating status is then indented and optimized to ensure its subsequent operating status and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0028] Figure 2 This is a flow chart of data cleaning processing for a running set in Example 1 of the present invention;

[0029] Figure 3 This is a flow chart of the method of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0030] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] Example 1: Figure 1 As shown, an LED dimmer automatic operation control system 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 communicatively connected in sequence, and the control test module, the operation evaluation module and the control optimization module are all communicatively connected to the storage module.

[0032] The control test module is used to test and analyze the control parameters of the LED dimmer: a test cycle is generated and divided into several test periods. The control parameters of the LED dimmer are marked as control object i, i = 1, 2, ..., n, where n is a positive integer. Control object i includes output voltage, output current, duty cycle, etc. The standard range BFi of control object i is retrieved through the storage module. Correspondingly, when control object i is output voltage, the corresponding standard range BFi is set to DC0V~10V. When control object i is output current, the corresponding standard range BFi is set to 0~20mA.

[0033] At the beginning of each test period, a value is randomly selected from the standard range BFi as the test value CSi of the control object i in the test period, and the value of the control object i of the LED dimmer is set to the test value CSi. In a periodic time-division test manner, the control parameters of the LED dimmer are set to values at the beginning of each test period. The set values are all within the standard range of the corresponding control parameters, providing data support for the operation evaluation and analysis process.

[0034] The operation evaluation module is used to evaluate and analyze the operating status of the LED dimmer during the test period. At the end of the test period, the module obtains the noise data ZS, flicker data SS, and interference data GR of the LED dimmer. The noise data SS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test period. The noise power on the circuit board is directly measured using a noise instrument.

[0035] The flicker data SS is the minimum dimming frequency when the LED dimmer switches the power supply voltage for dimming during the test period. The interference data GR is the maximum electromagnetic interference intensity generated by the LED dimmer during the test period. The spectrum analysis method is used to detect electromagnetic interference by analyzing the spectrum characteristics of the signal.

[0036] The operating coefficient YX of the LED dimmer during the test period is calculated using the formula YX=k1×ZS+k2×SS+k3×GR, where k1, k2, and k3 are proportional coefficients, and k1>k2>k3>1. It should be noted that in the calculation formula for the operating coefficient YX, the noise data ZS, flicker data SS, and interference data GR are all dimensionless and taken as their numerical values for calculation. The operating coefficient YX is a value that reflects the operating status of the LED dimmer during the test period. A larger value of the operating coefficient YX indicates a worse operating status of the LED dimmer during the test period.

[0037] At the end of the test cycle, the operating coefficient YX of the LED dimmer in all test periods is summed and averaged to obtain an operating performance value. The variance of the operating coefficient YX of the LED dimmer in all test periods is calculated to obtain an operating stability value. The operating performance threshold and the operating stability threshold are retrieved through the storage module. The operating performance value and the operating stability value of the LED dimmer in the test cycle are compared with the operating performance threshold and the operating stability threshold respectively:

[0038] If the operating performance value is less than the operating performance threshold and the operating stability value is less than the operating stability threshold, it is determined that the overall operating state of the LED dimmer during the test period meets the requirements;

[0039] If the operating performance value is greater than or equal to the operating performance threshold and the operating stability value is less than the operating stability threshold, it is determined that the overall operating state of the LED dimmer during the test period does not meet the requirements, an operating abnormality signal is generated and sent to the mobile phone terminal of the administrator;

[0040] If the operation stability value is greater than or equal to the operation stability threshold, it is determined that the LED dimmer needs to be controlled and optimized, 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;

[0041] The operating coefficient is obtained by statistically calculating and analyzing multiple operating parameters of the LED dimmer in each test period. Then, a comprehensive analysis is performed on the operating coefficients of all test periods to obtain the operating performance value and operating stability value. The operating performance value and operating stability value are used to evaluate the overall operating status of the LED dimmer during the test cycle. If its operating stability does not meet the requirements, control optimization analysis is triggered to improve subsequent operating stability.

[0042] like Figure 2 As shown, the control optimization module is used to optimize and analyze the control parameters of the LED dimmer: the operating coefficients YX of the optimization object in all test periods constitute an operating set, and the operating set is cleaned:

[0043] Calculate the variance of all elements in the running set to obtain a stable optimization value, and compare the stable optimization value with the running stability threshold: If the stable optimization value is greater than or equal to the running stability threshold, remove the largest element in the running set, and then recalculate the stable optimization value, and so on, until the stable optimization value is less than the running stability threshold; if the stable optimization value is less than the running stability threshold, perform deep cleaning on the running set:

[0044] The operation optimization value is obtained by summing up and averaging all elements in the operation set, 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 eliminated, 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.

[0045] The test periods corresponding to all remaining elements in the running set are marked as optimization periods. The maximum and minimum values of the test values CSi set by the optimization object for the control object i in all optimization periods constitute the optimization range YHi of the control object i. The optimization ranges YHi of all control objects i constitute the optimization parameter set of the optimization object. The optimization parameter set is sent to the storage module. When the optimization object is subsequently controlled, the value of the control parameter i of the optimization object is set within the corresponding optimization range YHi.

[0046] After data cleaning of the running set, the test periods corresponding to the remaining elements in the running set are extracted and marked. Then, the optimized range of the control parameters is generated based on the test values of the optimized period. The standard range of the control parameters of the LED dimmer with unstable operating status is then indented and optimized to ensure its subsequent operating status and stability.

[0047] Example 2: Figure 3 As shown, the present invention also proposes a method for automatically controlling an LED dimmer, comprising the following steps:

[0048] Step 1: Test and analyze the control parameters of the LED dimmer: Generate a test cycle and divide it into several test periods. Label the control parameters of the LED dimmer as control object i. At the beginning of each test period, set the value of the control object i of the LED dimmer to the test value CSi.

[0049] Step 2: Evaluate and analyze the operating status of the LED dimmer during the test period: At the end of the test period, obtain the LED dimmer's noise data ZS, flicker data SS, and interference data GR and perform numerical calculations to obtain the operating performance value and operating stability value. Use these values to determine whether the LED dimmer requires control optimization. If necessary, proceed to step 3.

[0050] Step 3: Optimize and analyze the control parameters of the LED dimmer: The operating coefficient YX of the optimization object in all test periods constitutes an operating set. Numerical calculations are performed on all elements in the operating set to obtain stable optimization values and operating optimization values. The operating set is cleaned using the stable optimization values and operating optimization values, and the optimized parameter set is generated from the cleaned operating set.

[0051] Example 3: Figure 1-Figure 3 As shown, the present invention also includes a readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned LED dimmer automatic operation control method is implemented. Ordinary technicians in this field can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiments, and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0052] When the present invention is working, a test cycle is generated and the test cycle is divided into several test time periods. The control parameters of the LED dimmer are marked as control objects i. At the beginning of each test time period, the value of the control object i of the LED dimmer is set to the test value CSi. At the end of the test time period, the noise data ZS, flicker data SS and interference data GR of the LED dimmer are obtained and numerical calculations are performed to obtain an operation performance value and an operation stability value. The operation performance value and the operation stability value are used to determine whether the LED dimmer needs to be controlled and optimized. If necessary, an operation set is formed by the operation coefficient YX of the optimization object in all test time periods. All elements in the operation set are numerically calculated to obtain a stable optimization value and an operation optimization value. The operation set is cleaned according to the stable optimization value and the operation optimization value, and an optimization parameter set is generated from the cleaned operation set.

[0053] The above formulas are all obtained by collecting a large amount of data and performing software simulation to obtain a formula close to the actual value. The coefficients in the formula are set by those skilled in the art based on actual conditions; for example: formula YX=k1×ZS+k2×SS+k3×GR; those skilled in the art collect multiple sets of sample data and set corresponding operating coefficients for each set of sample data; the set operating coefficients and the collected sample data are substituted into the formula, and any three formulas form a system of three linear equations. The calculated coefficients are screened and averaged, and the values of k1, k2, and k3 are obtained as 3.47, 2.82, and 2.51, respectively;

[0054] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the operating coefficient is proportional to the value of the noise data.

[0055] The above are merely examples and explanations of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. An automatic operation control system for LED dimmers, characterized in that: It includes control test module, operation evaluation module, control optimization module and storage module; The control test module is used to test and analyze the control parameters of the LED dimmer: generate a test cycle and divide the test cycle into a number of test periods, mark the control parameters of the LED dimmer as control object i, i=1, 2, ..., n, where n is a positive integer, call the standard range BFi of control object i through the storage module, randomly select a value from the standard range BFi at the beginning of each test period as the test value CSi of control object i in the test period, 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 status of the LED dimmer during the test period: at the end of the test period, the noise data ZS, flicker data SS and interference data GR of the LED dimmer are obtained and numerically calculated to obtain the operation coefficient YX of the LED dimmer during the test period; At the end of the test cycle, the operating coefficient YX of the LED dimmer in all test periods is numerically calculated to obtain an operating performance value and an operating stability value. The operating performance value and the operating stability value are used to determine whether the LED dimmer needs to be controlled and optimized. If control optimization is required, a control optimization signal is generated and sent to the control optimization module. The control optimization module is used to optimize and analyze the control parameters of the LED dimmer; The noise data ZS is the maximum value of the circuit suppression noise power generated by the LED dimmer during the test period. The noise power on the circuit board is directly measured 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 period. The interference data GR is the maximum value of the electromagnetic interference intensity generated by the LED dimmer during the test period. The electromagnetic interference is detected by analyzing the spectral characteristics of the signal using spectrum analysis. The process of obtaining the operation performance value and the operation stability value includes: summing and averaging the operation coefficient YX of the LED dimmer in all test periods to obtain the operation performance value, and performing variance calculation on the operation coefficient YX of the LED dimmer in all test periods to obtain the operation stability value.

2. The LED dimmer automatic operation control system according to claim 1, characterized in that: The specific process of determining whether the LED dimmer needs to be controlled and optimized includes: retrieving the operation performance threshold and the operation stability threshold through the storage module, and comparing the operation performance value and the operation stability value of the LED dimmer during the test cycle with the operation performance threshold and the 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, then it is determined that the overall operation status of the LED dimmer during 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, then it is determined that the overall operation status of the LED dimmer during the test cycle does not meet the requirements, an operation abnormality signal is generated and the operation abnormality signal is sent to the mobile phone terminal of the administrator; if the operation stability value is greater than or equal to the operation stability threshold, then it is determined that the LED dimmer needs to be controlled and optimized, and the LED dimmer is marked as an optimization object.

3. The LED dimmer automatic operation control system according to claim 2, characterized in that: The specific process of the control optimization module optimizing and analyzing the control parameters of the LED dimmer includes: forming an operating set from the operating coefficient YX of the optimization object in all test periods, performing data cleaning processing on the operating set, marking the test periods corresponding to all remaining elements in the operating set after the data cleaning processing as optimization periods, forming the optimization range YHi of the control object i from the maximum and minimum values of the test values CSi set for the control object i by the optimization object in all optimization periods, forming the optimization parameter set of the optimization object from the optimization ranges YHi of all control objects i, sending the optimization parameter set to the storage module, and when the optimization object is subsequently controlled, setting the value of the control parameter i of the optimization object within the corresponding optimization range YHi.

4. The LED dimmer automatic operation control system according to claim 3, characterized in that: The specific process of data cleaning of the running set includes: performing variance calculation on all elements in the running set to obtain a stable optimization value, and comparing the stable optimization value with the running stability threshold: if the stable optimization value is greater than or equal to the running stability threshold, the largest element in the running set is eliminated, and then the stable optimization value is recalculated, and so on, until the stable optimization value is less than the running stability threshold; if the stable optimization value is less than the running stability threshold, the running set is deeply cleaned.

5. The LED dimmer automatic operation control system according to claim 4, characterized in that: The specific process of deep cleaning of the running set includes: summing and averaging all elements in the running set to obtain the running optimization value, and comparing the running optimization value with the running performance threshold: if the running optimization value is greater than or equal to the running performance threshold, the largest element in the running set is eliminated, and then the running optimization value is recalculated, and so on, until the running optimization value is less than the running performance threshold; if the running optimization value is less than the running performance threshold, it is determined that the deep cleaning is completed.

6. A method for controlling automatic operation of an LED dimmer, using the automatic operation control system of an LED dimmer according to claim 5, characterized in that: The following steps are involved: Step 1: Test and analyze the control parameters of the LED dimmer: Generate a test cycle and divide it into several test periods. Label the control parameters of the LED dimmer as control object i. At the beginning of each test period, set the value of the control object i of the LED dimmer to the test value CSi. Step 2: Evaluate and analyze the operating status of the LED dimmer during the test period: At the end of the test period, obtain the LED dimmer's noise data ZS, flicker data SS, and interference data GR and perform numerical calculations to obtain the operating performance value and operating stability value. Use these values to determine whether the LED dimmer requires control optimization. If necessary, proceed to step 3. Step 3: Optimize and analyze the control parameters of the LED dimmer: The operating coefficients YX of the optimization object in all test periods constitute an operating set, perform data cleaning on the operating set, and generate an optimized parameter set from the cleaned operating set.

7. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the LED dimmer automatic operation control method according to claim 6 is implemented.

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