Multi-module controlled RGB colorful LED automatic dimming system
By introducing multi-module detection units into the RGB colorful LED automatic dimming system, real-time monitoring and analysis of LED dimming performance, environmental adaptation and hardware coordination, the problem that existing systems cannot effectively regulate LED lighting is solved, and more efficient and accurate LED dimming is achieved, and service life is extended.
Patent Information
- Application Number
- CN202510299072.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-13
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2045-03-13
AI Technical Summary
The existing RGB colorful LED automatic dimming system cannot monitor the LED lighting regulation performance, and cannot infer whether the current dimming meets the actual lighting environment based on the regulation performance, and cannot detect the hardware coordination of the LED, resulting in inaccurate dimming execution, increasing electrical losses and reducing service life.
A multi-module controlled RGB colorful LED automatic dimming system is designed, including a multi-module adjustable detection unit, an environmental adaptation detection unit, a hardware coordination detection unit and an implementation method decision analysis unit. Through these units, data is collected and analyzed, the dimming performance, environmental adaptation and hardware coordination of the LED are detected, and whether dimming is effective and adjustment is made.
Through real-time monitoring and analysis, we ensure that the LED dimming performance meets current environmental needs, avoid unnecessary electrical losses, extend the service life of LED lamps, and improve the accuracy and efficiency of dimming.
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Figure CN119815616A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of LED automatic dimming, in particular to a multi-module controlled RGB colorful LED automatic dimming system. Background Art
[0002] The RGB multi-color LED automatic dimming system is an intelligent lighting system that combines red (R), green (G), and blue (B) color LED lamp beads and has the function of automatically adjusting light brightness and color.
[0003] However, in the prior art, the LED light control performance cannot be monitored during the LED use phase, and it is impossible to infer whether the current dimming meets the actual lighting environment based on the control performance. In addition, the hardware coordination of the LED cannot be detected, so that the normal dimming execution cannot be guaranteed.
[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention
[0005] The purpose of the present invention is to solve the above-mentioned problems and to provide a multi-module controlled RGB colorful LED automatic dimming system.
[0006] The purpose of the present invention can be achieved through the following technical solutions: A multi-module controlled RGB multi-color LED automatic dimming system, comprising an automatic control platform, wherein the automatic control platform is communicatively connected with a multi-module adjustable detection unit, an environment adaptation detection unit, a hardware coordination detection unit, and an implementation method decision analysis unit; The multi-module adjustable detection unit is used to perform light adjustable detection on the multi-module control in the LED, collect dimming transition information and dimming carrying information, and perform multi-module adjustable efficiency detection based on information analysis; The environment adaptation detection unit performs use environment adaptation detection based on the adjustable lighting parameter range of the LED, collects dimming accuracy impact information and dimming satisfaction impact information, and infers whether the LED adjustable lighting parameter range is adapted to the current lighting environment based on information comparison; The hardware coordination detection unit performs hardware coordination detection on the LED during its use phase, collects hardware coordination detection information, obtains hardware coordination detection coefficients based on information processing, and infers whether the hardware coordination is qualified through coefficient comparison; The implementation decision analysis unit performs decision analysis on the LED dimming implementation method, obtains dimming recognition monitoring scenarios, specifically voice recognition scenarios and color temperature recognition scenarios, which are divided into user restriction scenarios and environment restriction scenarios, collects voice-controlled dimming decision information and color temperature dimming decision information, and infers whether there is a deviation in the decision based on information analysis.
[0007] As a preferred embodiment of the present invention, the dimming transition information and the dimming carrying information are respectively the proportion of the time when the lamp bead carries the increased current within the delay time corresponding to different value spans when any two values within the lighting parameter range are transformed, the current span value when the current of the lamp to be turned off exceeds the rated current when the lamp bead is transformed between full brightness and non-full brightness within the lighting parameter range, and the current span value corresponding to the instantaneous increase in the current of the lamp to be turned off.
[0008] As a preferred embodiment of the present invention, if the dimming transition information exceeds the time proportion threshold, or the dimming carrying information exceeds the current span threshold, an inefficient control signal is generated; if the dimming transition information does not exceed the time proportion threshold, and the dimming carrying information does not exceed the current span threshold, an efficient control signal is generated.
[0009] As a preferred embodiment of the present invention, the dimming accuracy impact information and the dimming satisfaction impact information are respectively the excess value between the minimum parameter floating span value of the LED adjustable lighting parameter range in the current usage scenario and the minimum floating span value of the corresponding parameter of the lighting environment, and the numerical deviation between the real-time luminous flux of the lighting environment and the required luminous flux when any parameter in the LED adjustable lighting parameter range in the current usage scenario floats to the critical value.
[0010] As a preferred embodiment of the present invention, if the dimming accuracy affecting information exceeds the numerical excess threshold, or the dimming satisfaction affecting information exceeds the numerical deviation threshold, an environmental low adaptation signal is generated; if the dimming accuracy affecting information does not exceed the numerical excess threshold, and the dimming satisfaction affecting information does not exceed the numerical deviation threshold, an environmental high adaptation signal is generated.
[0011] As a preferred embodiment of the present invention, the hardware coordination detection information includes the expansion speed of the luminous efficiency value deviation of different colors of lamp beads during the LED use stage, the stable supply time of the voltage and current of the driving circuit during the LED use stage and the proportion of the use stage, and the deviation frequency between the actual adjustment value and the corresponding brightness supply demand adjustment value when the controller controls the voltage and current of the driving circuit to adjust the brightness of the lamp beads during the LED use stage.
[0012] As a preferred embodiment of the present invention, if the hardware cooperation detection coefficient does not exceed the cooperation detection coefficient threshold, a cooperation detection inefficiency signal is generated; if the hardware cooperation detection coefficient exceeds the cooperation detection coefficient threshold, a cooperation detection efficiency signal is generated and sent to the automatic control platform.
[0013] As a preferred embodiment of the present invention, the voice-controlled dimming decision information is the non-overlapping distance between the start-up dimming interval and the start-up light supply interval when dimming is started in a voice recognition scenario; the color temperature dimming decision information is the sum of the number of corresponding rise moments of the regional temperature rising moment and the cold light lighting moment when the user enters the lighting point coverage area and starts dimming in a color temperature recognition scenario.
[0014] As a preferred embodiment of the present invention, if the voice-controlled dimming decision information exceeds the non-overlapping distance threshold, or the zone color temperature dimming decision information does not exceed the time quantity and threshold, a decision deviation signal is generated.
[0015] As a preferred embodiment of the present invention, if the voice-controlled dimming decision information does not exceed the non-overlapping distance threshold, and the color temperature dimming decision information exceeds the moment quantity and threshold, a decision fitting signal is generated and sent to the automatic control platform.
[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the current LED light regulation performance is inferred through light adjustable detection, so as to facilitate the selection of light regulation in combination with the real-time usage scenario, so as to avoid the light regulation performance failing to meet the current regulation demand, so that the light cannot be adjusted to the optimal state during adjustment, resulting in unnecessary electrical loss during LED light dimming, reducing the service life of the LED light and failing to meet the dimming demand; Perform environment adaptation detection based on the adjustable lighting parameter range of the LED. Use environment adaptation detection to infer whether the current LED dimming performance meets the current environmental requirements, so as to meet the lighting conditions of the current usage environment, avoid the situation where the LED light is single and the dimming performance cannot meet the requirements of the usage environment, and when the requirements are not met, the continuous dimming control of the module reduces the service life of the lamp beads and affects the use of the LED lamp.
[0017] 2. In the present invention, hardware coordination detection is performed during the use phase of the LED, and whether the lighting and dimming of the LED can be performed normally is inferred through the hardware coordination detection, so as to avoid the decrease in the operating efficiency of the LED caused by inefficient hardware coordination, and at the same time prevent the inefficient hardware coordination from causing inaccurate dimming, causing the LED lamp bead dimming frequency to increase and causing unnecessary hardware wear; Conduct decision analysis on the LED dimming implementation method. Through the dimming implementation method decision analysis, it is inferred whether the current LED can be accurately controlled under the premise of adapting the environment and hardware matching. Avoid incompatible lighting adjustments in different usage scenarios caused by incompatible dimming implementation methods, which reduces dimming efficiency and affects the service life of the LED, and increases unnecessary dimming wear. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.
[0019] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION
[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0021] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0022] See also Figure 1 As shown, a multi-module controlled RGB colorful LED automatic dimming system includes an automatic control platform, which is communicatively connected with a multi-module adjustable detection unit, an environment adaptation detection unit, a hardware coordination detection unit, and an implementation method decision analysis unit; The automatic control platform is used to control the light of the LED. As a preferred feasibility example, when the LED lamp is in use, the automatic control platform generates an adjustable detection signal and sends it to the multi-module adjustable detection unit. The multi-module adjustable detection unit is used to perform light adjustable detection on the multi-module control in the LED. The current LED light control performance is inferred through the light adjustable detection, so as to make light control selections in combination with real-time usage scenarios, so as to avoid the light control performance failing to meet the current control requirements, so that the light cannot be adjusted to the optimal state during adjustment, resulting in unnecessary electrical loss in the dimming of the LED lamp, reducing the service life of the LED lamp and failing to meet the dimming requirements; The LED lamp to be explained is provided with RGB multi-color lamp beads, such as red, green and blue, and the multi-color lamp beads are mixed in color to adjust the light. Yellow light and white light are obtained according to the color mixing of the RGB multi-color lamp beads and are marked as mixed display lights. The light parameter range is set according to the two mixed display light types, specifically the brightness range and the color temperature range, and the brightness and color temperature values of the yellow light and the white light are used as the critical values of the range; Get the time proportion of the lamp bead carrying current increase during the delay time corresponding to different value spans when any two values within the lighting parameter range are transformed. At the same time, get the current span value of the lamp to be turned off exceeding the rated current and the current span corresponding to the instantaneous increase of the lamp to be turned on when the lamp bead is fully lit and not fully lit within the lighting parameter range. It needs to be explained that the lamp to be turned off refers to the lamp bead waiting to be turned off and is in a bright state, and the lamp to be turned on refers to the lamp bead waiting to be lit and is in an off state. And the time proportion of the lamp bead carrying current increase within the delay time corresponding to the different value spans when any two values within the lighting parameter range are changed, the current span value of the lamp to be turned off exceeds the rated current when the lamp bead is fully lit and partially lit within the lighting parameter range, and the current span corresponding to the instantaneous increase of the current of the lamp to be turned off are marked as dimming change information and dimming carrying information, and compared with the time proportion threshold and the current span threshold respectively: If the proportion of the time when the lamp bead carries an increased current within the delay time corresponding to the different value spans when any two values within the lighting parameter range are transformed exceeds the time proportion threshold, or when the lamp bead is fully lit and not fully lit within the lighting parameter range, the current of the lamp to be turned off exceeds the current span value of the rated current and the current of the lamp to be turned off increases by the instantaneous span value and exceeds the current span threshold, then it is inferred that the multi-module adjustable detection is inefficient, an inefficient control signal is generated and sent to the automatic control platform, and after receiving the inefficient control signal, the automatic control platform adjusts the adjustable lighting parameter range of the LED lamp; If the proportion of the time when the lamp bead carries an increased current within the delay time corresponding to the different value spans when any two values within the lighting parameter range are transformed does not exceed the time proportion threshold, and when the lamp bead is fully lit and not fully lit within the lighting parameter range, the current of the lamp to be turned off exceeds the current span value of the rated current and the current of the lamp to be turned off instantaneously increases the span value and does not exceed the current span threshold, then it is inferred that the multi-module adjustable detection is efficient, and an efficient control signal is generated and sent to the automatic control platform; At the same time, an environment adaptation detection signal is generated and sent to the environment adaptation detection unit. As a preferred feasibility example, after receiving the environment adaptation detection signal, the environment adaptation detection unit performs use environment adaptation detection according to the adjustable light parameter range of the LED. By using the environment adaptation detection, it is inferred whether the current LED dimming performance meets the current environmental requirements, so as to meet the lighting conditions of the current use environment, avoid the LED light being single and the dimming performance failing to meet the requirements of the use environment, and when the requirements are not met, the continuous dimming control of the module reduces the service life of the lamp beads, affecting the use of the LED lamp; Obtain the excess value between the minimum floating span value of the LED adjustable light parameter range in the current usage scenario and the minimum floating span value of the parameter corresponding to the lighting environment, and mark the excess value between the minimum floating span value of the LED adjustable light parameter range in the current usage scenario and the minimum floating span value of the parameter corresponding to the lighting environment as dimming accuracy impact information; Obtain the numerical deviation between the real-time luminous flux and the required luminous flux of the lighting environment when any parameter in the LED adjustable lighting parameter range in the current usage scenario floats to a critical value, and mark the numerical deviation between the real-time luminous flux and the required luminous flux of the lighting environment when any parameter in the LED adjustable lighting parameter range in the current usage scenario floats to a critical value as dimming satisfaction impact information; And the dimming accuracy impact information and the dimming satisfaction impact information are compared with the numerical excess threshold and the numerical deviation threshold respectively: If the value of the minimum floating span value of the LED adjustable lighting parameter range in the current usage scenario exceeds the value excess threshold value and the value of the minimum floating span value of the corresponding parameter of the lighting environment, or the value deviation between the real-time luminous flux of the lighting environment and the required luminous flux when any parameter in the LED adjustable lighting parameter range in the current usage scenario floats to the critical value exceeds the value deviation threshold value, it is inferred that the LED is not suitable for the current lighting environment, and an environmental low adaptation signal is generated and sent to the automatic control platform. After receiving the environmental low adaptation signal, the automatic control platform suspends the light control of the LED and adds an LED lamp to the current usage scenario; If the excess value of the minimum floating span value of the LED adjustable lighting parameter range in the current usage scenario and the minimum floating span value of the corresponding parameter of the lighting environment does not exceed the excess value threshold, and the numerical deviation between the real-time luminous flux of the lighting environment and the required luminous flux when any parameter in the LED adjustable lighting parameter range floats to the critical value in the current usage scenario does not exceed the numerical deviation threshold, it is inferred that the LED is adapted to the current lighting environment, and a high environmental adaptation signal is generated and sent to the automatic control platform; After receiving the high-adaptation signal of the environment, the automatic control platform generates a hardware coordination detection signal and sends the hardware coordination detection signal to the hardware coordination detection unit. After receiving the hardware coordination detection signal, the hardware coordination detection unit performs hardware coordination detection on the LED use stage, and infers whether the lighting and dimming of the LED can be performed normally through the hardware coordination detection, so as to avoid the decline of the operating efficiency of the LED due to the inefficient hardware coordination, and at the same time prevent the inaccurate dimming caused by the inefficient hardware coordination, which causes the increase of the dimming frequency of the LED lamp beads and unnecessary hardware wear; Obtain the expansion speed of the deviation of the luminous efficiency values of lamp beads of different colors during the LED use stage, where the luminous efficiency value is expressed as the lamp bead luminous execution buffer time or the lamp bead luminous color purity; and mark the expansion speed of the deviation of the luminous efficiency values of lamp beads of different colors during the LED use stage as PCK; The stable supply time of the voltage and current of the driving circuit in the LED use stage and the proportion of the use stage are obtained, and the stable supply time of the voltage and current of the driving circuit in the LED use stage and the proportion of the use stage are marked as SZB; Obtain the deviation frequency between the actual adjustment value and the corresponding brightness supply demand adjustment value when the controller controls the driving circuit voltage and current to adjust the lamp bead brightness during the LED use stage, and mark the deviation frequency between the actual adjustment value and the corresponding brightness supply demand adjustment value when the controller controls the driving circuit voltage and current to adjust the lamp bead brightness during the LED use stage as PCP; The above collected data are uniformly marked as hardware coordination detection information, and substituted into the formula to obtain the hardware coordination detection coefficient of the LED use stage, where the formula is: , where d1, d2 and d3 are preset proportional coefficients, which are used to de-dimensionalize the collected data, and t is the real-time usage duration of the usage phase, and the longer the usage duration, the lower the hardware coordination efficiency. Compare the hardware coordination detection coefficient of the LED usage phase with the coordination detection coefficient threshold: If the hardware coordination detection coefficient during the LED use phase does not exceed the coordination detection coefficient threshold, it is inferred that the hardware coordination detection during the LED use phase is unqualified, and a coordination detection inefficiency signal is generated and sent to the automatic control platform. After receiving the coordination detection inefficiency signal, the automatic control platform performs single fault inspection and coordination operation control on the LED internal hardware; If the hardware coordination detection coefficient in the LED use stage exceeds the coordination detection coefficient threshold, it is inferred that the hardware coordination detection in the LED use stage is qualified, and a coordination detection high efficiency signal is generated and sent to the automatic control platform; At the same time, an implementation mode decision analysis signal is generated and sent to an implementation mode decision analysis unit. After receiving the implementation mode decision analysis signal, the implementation mode decision analysis unit performs decision analysis on the LED dimming implementation mode, and infers whether the current LED can be accurately regulated under the premise of qualified adaptation environment and hardware cooperation through dimming implementation mode decision analysis, so as to avoid incompatible lighting adjustment in different usage scenarios caused by incompatible dimming implementation mode, reduce dimming efficiency and affect the service life of LED, and increase unnecessary dimming wear; Obtain dimming recognition monitoring scenarios, specifically sound recognition scenarios and color temperature recognition scenarios, which are divided into user-restricted scenarios and environment-restricted scenarios; the user-restricted scenario is the sound recognition scenario, and the environment-restricted scenario is the color temperature recognition scenario; Obtain the distance between the sound source and the lighting point in the sound recognition scenario during the LED use stage, and the distance between the boundary of the lighting point coverage area and the sound source, and mark them as the start-up dimming distance and the start-up light supply distance. Obtain the non-overlapping distance between the start-up dimming distance and the start-up light supply distance when starting dimming in the sound recognition scenario, and mark the non-overlapping distance between the start-up dimming distance and the start-up light supply distance when starting dimming in the sound recognition scenario as voice-controlled dimming decision information; Obtain the sum of the regional temperature rising moments and the corresponding rising moments of the cold light illumination moments when the user enters the lighting point coverage area and starts dimming in the color temperature recognition scenario, and mark the sum of the regional temperature rising moments and the corresponding rising moments of the cold light illumination moments when the user enters the lighting point coverage area and starts dimming in the color temperature recognition scenario as color temperature dimming decision information; And the voice-controlled dimming decision information and the color temperature dimming decision information are compared with the non-overlapping distance threshold and the number of moments and thresholds respectively: If the non-overlapping distance between the dimming start interval and the light supply start interval exceeds the non-overlapping distance threshold when dimming is started in the sound recognition scenario, or the sum of the corresponding rising moments of the regional temperature rise moment and the cold light illumination moment does not exceed the moment number and the threshold, it is inferred that there is a deviation in the decision of the LED dimming implementation method, and a decision deviation signal is generated and sent to the automatic control platform. After receiving the decision deviation signal, the automatic control platform resets the sound recognition decibel setting value and the color temperature recognition temperature setting value of the LED, and monitors the real-time distance fluctuation of the sound source. If the sound source is generated but the distance is not shortened, the dimming start will not be performed to avoid unnecessary dimming execution of the LED caused by external noise; If the non-overlapping distance between the dimming start interval and the light supply start interval when dimming is started in the sound recognition scenario does not exceed the non-overlapping distance threshold, and the sum of the number of rising moments corresponding to the regional temperature rising moment and the cold light illumination moment exceeds the number of moments and the threshold, it is inferred that there is no deviation in the decision on the LED dimming implementation method, and a decision fitting signal is generated and sent to the automatic control platform.
[0023] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions; When the present invention is in use, the multi-module adjustable detection unit is used to perform light adjustable detection on the multi-module control in the LED, collect dimming transformation information and dimming bearing information, and perform multi-module adjustable efficiency detection based on information analysis; the environment adaptation detection unit performs use environment adaptation detection based on the adjustable light parameter range of the LED, collects dimming accuracy influence information and dimming satisfaction influence information, and infers whether the LED adjustable light parameter range is adapted to the current lighting environment based on information comparison; the hardware coordination detection unit performs hardware coordination detection on the LED use stage, collects hardware coordination detection information, obtains hardware coordination detection coefficients based on information processing, and infers whether the hardware coordination is qualified through coefficient comparison; the implementation method decision analysis unit performs decision analysis on the LED dimming implementation method, collects voice-controlled dimming decision information and color temperature dimming decision information, and infers whether there is a deviation in the decision based on information analysis.
[0024] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. A multi-module controlled RGB multi-color LED automatic dimming system, characterized in that: It includes an automatic control platform, which is connected to a multi-module adjustable detection unit, an environmental adaptation detection unit, a hardware coordination detection unit, and an implementation method decision analysis unit; The multi-module adjustable detection unit is used to perform light adjustable detection on the multi-module control in the LED, collect dimming transition information and dimming carrying information, and perform multi-module adjustable efficiency detection based on information analysis; The environment adaptation detection unit performs use environment adaptation detection based on the adjustable lighting parameter range of the LED, collects dimming accuracy impact information and dimming satisfaction impact information, and infers whether the LED adjustable lighting parameter range is adapted to the current lighting environment based on information comparison; The hardware coordination detection unit performs hardware coordination detection on the LED during its use phase, collects hardware coordination detection information, obtains hardware coordination detection coefficients based on information processing, and infers whether the hardware coordination is qualified through coefficient comparison; The implementation decision analysis unit performs decision analysis on the LED dimming implementation method, obtains dimming recognition monitoring scenarios, specifically voice recognition scenarios and color temperature recognition scenarios, which are divided into user restriction scenarios and environment restriction scenarios, collects voice-controlled dimming decision information and color temperature dimming decision information, and infers whether there is a deviation in the decision based on information analysis.
2. According to the multi-module controlled RGB multi-color LED automatic dimming system of claim 1, it is characterized in that: The dimming transition information and the dimming carrying information are respectively the proportion of the time when the lamp bead carrying current increases within the delay time corresponding to different value spans when any two values within the lighting parameter range are transformed, the current span value when the current of the lamp to be turned off exceeds the rated current when the lamp bead is transformed between full brightness and non-full brightness within the lighting parameter range, and the corresponding span value of the instantaneous increase in the current of the lamp to be turned off.
3. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 2, characterized in that: If the dimming transition information exceeds the time proportion threshold, or the dimming carrying information exceeds the current span threshold, an inefficient control signal is generated; if the dimming transition information does not exceed the time proportion threshold, and the dimming carrying information does not exceed the current span threshold, an efficient control signal is generated.
4. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 1, characterized in that: The dimming accuracy impact information and the dimming satisfaction impact information are respectively the excess value between the minimum parameter floating span value of the LED adjustable lighting parameter range in the current usage scenario and the minimum floating span value of the corresponding parameter of the lighting environment, and the numerical deviation between the real-time luminous flux of the lighting environment and the required luminous flux when any parameter in the LED adjustable lighting parameter range in the current usage scenario floats to the critical value.
5. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 4, characterized in that: If the dimming accuracy impact information exceeds the numerical excess threshold, or the dimming satisfaction impact information exceeds the numerical deviation threshold, an environmental low adaptation signal is generated; if the dimming accuracy impact information does not exceed the numerical excess threshold, and the dimming satisfaction impact information does not exceed the numerical deviation threshold, an environmental high adaptation signal is generated.
6. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 1, characterized in that: The hardware coordination detection information includes the expansion speed of the deviation of the luminous efficiency values of different colors of lamp beads during the LED use stage, the stable supply time of the voltage and current of the driving circuit during the LED use stage and the proportion of the use stage, and the deviation frequency between the actual adjustment value and the corresponding brightness supply demand adjustment value when the controller controls the voltage and current of the driving circuit to adjust the brightness of the lamp beads during the LED use stage.
7. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 6, characterized in that: If the hardware coordination detection coefficient does not exceed the coordination detection coefficient threshold, a coordination detection inefficiency signal is generated; if the hardware coordination detection coefficient exceeds the coordination detection coefficient threshold, a coordination detection efficiency signal is generated and sent to the automatic control platform.
8. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 1, characterized in that: The voice-controlled dimming decision information is the non-overlapping distance between the dimming start interval and the light supply start interval when dimming is started in the voice recognition scenario; the color temperature dimming decision information is the sum of the corresponding rising moments of the regional temperature rising moment and the cold light lighting moment when the user enters the lighting point coverage area and starts dimming in the color temperature recognition scenario.
9. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 8, characterized in that: If the voice-controlled dimming decision information exceeds the non-overlapping distance threshold, or the zone color temperature dimming decision information does not exceed the time quantity and threshold, a decision deviation signal is generated.
10. The multi-module controlled RGB multi-color LED automatic dimming system according to claim 8, characterized in that: If the voice-controlled dimming decision information does not exceed the non-overlapping distance threshold, and the color temperature dimming decision information exceeds the time quantity and threshold, a decision fitting signal is generated and sent to the automatic control platform.
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