Intelligent dimming LED backlight lamp and intelligent dimming method

Abstract

The invention belongs to the technical field of light source management and control, and particularly relates to an intelligent dimming LED backlight lamp and an intelligent dimming method, and the method comprises the steps: environment perception, illumination preference model construction, intelligent dimming algorithm analysis, intelligent dimming control and illumination atmosphere creation performance analysis. According to the invention, the intelligent dimming algorithm module is combined with the environment perception data and the user lighting preference model to calculate the optimal lighting parameter, and the intelligent control execution module accurately dims the LED light source based on the optimal lighting parameter, so as to ensure that the lighting environment always conforms to the user preference and the environment change. The lighting environment quality is improved, energy consumption is effectively reduced, the green lighting concept is met, the lighting atmosphere building performance of a lighting area is analyzed through an atmosphere building monitoring module, a user is reminded to conduct reason investigation and analysis and inspect and maintain an LED light source when an atmosphere building abnormal signal is generated, and the user experience is improved. The subsequent illumination performance of the LED light source is ensured, the supervision difficulty of the LED light source is reduced, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of light source control, and in particular to an intelligent dimming LED backlight lamp and an intelligent dimming method. Background Art

[0002] LED light source is used to directly convert electrical energy into light energy. It is a new type of light source product with the characteristics of high efficiency, energy saving and environmental protection. It is widely used in various indication, display, decoration, backlight source, general lighting and urban night scene. With the continuous breakthrough of semiconductor materials and process technology, the luminous efficiency of LED light source is constantly improving, and the application field is also expanding; Traditional LED dimming systems mostly rely on simple switch control or preset scene modes, lacking adaptability to environmental changes and responsiveness to user personalized needs, making it difficult to effectively improve lighting quality, optimize energy utilization, and enhance user experience. In addition, they are unable to conduct gradual and accurate analysis and timely feedback on the lighting atmosphere creation performance and operational anomalies of LED light sources, which is not conducive to users making reasonable improvement measures in a timely manner and is difficult to supervise. In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent dimming LED backlight lamp and an intelligent dimming method, which solves the problems that the prior art lacks adaptability to environmental changes and response to user's personalized needs, is difficult to effectively improve lighting quality, optimize energy utilization and enhance user experience, and is unable to gradually and accurately analyze and timely feedback on the lighting atmosphere creation performance and operating abnormalities of the LED light source, making supervision difficult.

[0004] To achieve the above object, the present invention provides the following technical solutions: An intelligent dimming method for an intelligent dimming LED backlight lamp comprises the following steps: Step 1: The environment perception module monitors the environmental parameters of the lighting area in real time and sends the environment perception data to the intelligent dimming algorithm module; Step 2: The user behavior analysis module collects the user's lighting habit information through the smart home platform or mobile APP, analyzes the user behavior through the machine learning algorithm, builds the user lighting preference model and sends it to the smart dimming algorithm module; Step 3: The intelligent dimming algorithm module combines the environmental perception data and the user lighting preference model, uses deep learning or neural network algorithms to calculate the optimal lighting parameters, and sends the optimal lighting parameters to the intelligent control execution module; Step 4: The intelligent control execution module generates a corresponding dimming instruction based on the received optimal lighting parameters, and controls the LED driving power supply through the PWM or DALI protocol based on the dimming instruction to accurately dim the LED light source; Step 5: The atmosphere creation monitoring module analyzes the lighting atmosphere creation performance of the lighting area and causes the user terminal to issue an early warning when an abnormal atmosphere creation signal is generated.

[0005] Furthermore, in step five, the specific analysis process of the atmosphere creation monitoring module includes: Through analysis, it is determined in real time whether to assign the atmosphere creation alarm symbol LP-1, the number of times the atmosphere creation alarm symbol LP-1 is generated per unit time is obtained and marked as the atmosphere creation alarm value, and the atmosphere creation alarm value is numerically compared with the preset atmosphere creation alarm threshold. If the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, an atmosphere creation abnormality signal is generated.

[0006] Furthermore, the specific analysis process of determining in real time whether to give the atmosphere an alarm symbol LP-1 is as follows: The brightness, color temperature and color saturation of the lighting area are collected, the brightness of the lighting area is calculated by difference with the standard brightness in the optimal lighting parameters and the absolute value is taken to obtain the area brightness detection value, the color temperature of the lighting area is calculated by difference with the standard color temperature in the optimal lighting parameters and the absolute value is taken to obtain the color temperature detection value, and the color saturation of the lighting area is calculated by difference with the standard color saturation in the optimal lighting parameters and the absolute value is taken to obtain the color detection value; The regional atmosphere abnormality coefficient is obtained by numerically calculating the zone brightness detection value, color temperature detection value and color detection value, and the regional atmosphere abnormality coefficient is numerically compared with the preset regional atmosphere abnormality coefficient threshold. If the regional atmosphere abnormality coefficient exceeds the preset regional atmosphere abnormality coefficient threshold, the atmosphere creation alarm symbol LP-1 is assigned.

[0007] Furthermore, if the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, all regional atmosphere abnormality coefficients within a unit time are obtained and their average is calculated to obtain the atmosphere creation performance value, and the regional atmosphere abnormality coefficient with the largest value within a unit time is marked as the atmosphere creation abnormal amplitude value; The atmosphere creation evaluation value is obtained by numerically calculating the atmosphere creation alarm value, the atmosphere creation performance value and the atmosphere creation abnormal amplitude value, and the atmosphere creation evaluation value is numerically compared with the preset atmosphere creation evaluation threshold. If the atmosphere creation evaluation value exceeds the preset atmosphere creation evaluation threshold, an atmosphere creation abnormal signal is generated; if the atmosphere creation evaluation value does not exceed the preset atmosphere creation evaluation threshold, an atmosphere creation normal signal is generated.

[0008] Furthermore, the atmosphere creation monitoring module is communicatively connected to the light source operation analysis module, and the atmosphere creation monitoring module sends a normal atmosphere creation signal to the light source operation analysis module, and the light source operation analysis module analyzes the operation performance of the LED light source within a unit time when receiving the normal atmosphere creation signal; An operation qualification signal or an operation alarm signal of the LED light source is generated by analysis, and the operation qualification signal or the operation alarm signal is sent to the user terminal. When the user terminal receives the operation alarm signal, a corresponding warning is issued.

[0009] Furthermore, the specific analysis process of the light source operation analysis module includes: The temperature curve of the LED light source in unit time is collected, a rectangular coordinate system is established with time as the X-axis and temperature as the Y-axis, and the temperature curve of the LED light source is placed in the first quadrant of the rectangular coordinate system; In the rectangular coordinate system, a ray parallel to the X-axis with its endpoint on the Y-axis is drawn and marked as a temperature risk ray, and the arc whose temperature curve is above the temperature risk ray is marked as a risk arc; the duration corresponding to the corresponding risk arc is collected and marked as the risk time value, and the average value and maximum value of the Y-direction distance of the corresponding risk arc compared to the temperature risk ray are marked as the risk manifestation value and the risk amplitude value respectively; The arc detection value is obtained by numerically calculating the risk time value, risk manifestation value and risk amplitude value, and the arc detection value is numerically compared with the preset arc detection threshold. If the arc detection value exceeds the preset arc detection threshold, the corresponding risk arc is defined as an alarm arc; if there is an alarm arc on the temperature curve, an operation alarm signal of the LED light source is generated.

[0010] Furthermore, if there is no alarm arc on the temperature curve, the number of risk arcs on the temperature curve is marked as the arc number check value, and a number of coordinate points are set on the temperature curve, the X-direction distance between two adjacent groups of coordinate points is the same, and the Y-direction distance between two adjacent groups of coordinate points is marked as the temperature risk coefficient, and the temperature risk coefficient is numerically compared with the preset temperature risk coefficient threshold. If the temperature risk coefficient exceeds the preset temperature risk coefficient threshold, the corresponding temperature risk coefficient is marked as an abnormal coefficient; The number of abnormal coefficients is obtained and marked as abnormal number detection values, and the arc number detection value and the abnormal number detection value are numerically compared with the preset arc number detection threshold and the preset abnormal number detection threshold respectively. If the arc number detection value or the abnormal number detection value exceeds the corresponding preset threshold, an operation alarm signal of the LED light source is generated.

[0011] Further, if the arc number detection value and the abnormal number detection value do not exceed the corresponding preset threshold value, the moment when the intelligent control execution module generates the corresponding dimming instruction is collected and marked as the dimming moment, and the moment when the LED light source completes the adjustment is collected and marked as the solution moment, and the interval between the solution moment and the dimming moment is marked as the first duration, and the average of all first durations in the unit time is calculated to obtain the execution analysis value; and comparing the first duration with a preset first duration threshold; if the first duration exceeds the preset first duration threshold, marking the corresponding first duration as an abnormal duration, obtaining the number of abnormal durations per unit time and marking it as an abnormal time detection value; The execution analysis value and the asynchronous detection value are numerically compared with the preset execution analysis threshold and the preset asynchronous detection threshold respectively. If the execution analysis value or the asynchronous detection value exceeds the corresponding preset threshold, an operation alarm signal of the LED light source is generated; if neither the execution analysis value nor the asynchronous detection value exceeds the corresponding preset threshold, an operation qualified signal of the LED light source is generated.

[0012] Furthermore, the user terminal is communicated with the light source management and analysis module, which is used to set the detection period, analyze the quality status of the LED light source, generate a qualified transport signal or an abnormal transport signal through analysis, and send the qualified transport signal or the abnormal transport signal to the user terminal. When the user terminal receives the abnormal transport signal, it will issue a corresponding warning.

[0013] Furthermore, the specific analysis process of the light source management analysis module is as follows: The number of times an atmosphere creation abnormality signal is generated during the detection period is collected and the ratio is calculated with the operating time of the LED light source during the detection period to obtain a creation abnormality detection value, and the number of times an operation alarm signal is generated during the detection period is collected and the ratio is calculated with the operating time of the LED light source during the detection period to obtain an operation alarm value, and the interval between the production date of the LED light source and the current date is collected and marked as a production detection value, and the transport quality analysis value is obtained by numerically calculating the creation abnormality detection value, the operation alarm value and the production detection value, and the transport quality analysis value is numerically compared with the preset transport quality analysis threshold, if the transport quality analysis value exceeds the preset transport quality analysis threshold, a transport quality abnormality signal is generated; if the transport quality analysis value does not exceed the preset transport quality analysis threshold, a transport quality qualified signal is generated.

[0014] On the other hand, the present invention provides an intelligent dimming LED backlight lamp. The LED backlight lamp is used to execute the above-mentioned intelligent dimming method.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the optimal lighting parameters are calculated by combining environmental perception data and the user lighting preference model, and the LED light source is accurately dimmed based on the optimal lighting parameters to ensure that the lighting environment always meets the user's preferences and environmental changes, improve the quality of the living and working environment, and effectively reduce energy consumption. The lighting atmosphere creation performance of the lighting area is analyzed through the atmosphere creation monitoring module, and when an abnormal atmosphere creation signal is generated, the user is reminded to conduct a cause investigation and analysis and inspect and repair the LED light source, so as to ensure the subsequent lighting performance of the LED light source and reduce the difficulty of supervision of the LED light source; 2. In the present invention, the atmosphere creation normal signal is sent to the light source operation analysis module through the atmosphere creation monitoring module. When the light source operation analysis module receives the atmosphere creation normal signal, it analyzes the operation performance of the LED light source, can accurately identify the lighting abnormality of the LED light source and feedback, and promptly remind the user to check and repair, further ensure the subsequent lighting performance and operation safety of the LED light source, and analyze the quality status of the LED light source through the light source management analysis module, and remind the user to replace the LED light source when the quality abnormality signal is generated, further ensure the subsequent lighting effect and lighting safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a flow chart of the method of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 1 of the present invention; Figure 3 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0018] Embodiment 1: Figure 1-2 As shown, the present invention proposes an intelligent dimming LED backlight lamp and an intelligent dimming method, comprising the following steps: Step 1: The environmental perception module (integrated with brightness sensor, color temperature sensor, temperature sensor and humidity sensor, etc.) monitors the environmental parameters of the lighting area (such as ambient light intensity, color temperature, temperature, humidity and other parameters) in real time, and sends the environmental perception data to the intelligent dimming algorithm module.

[0019] Step 2: The user behavior analysis module collects the user's lighting habit information (including switching time, brightness selection, color temperature selection, etc.) through the corresponding smart home platform or mobile APP (user control information on the user terminal), analyzes the user behavior through machine learning algorithms, builds a user lighting preference model and sends it to the intelligent dimming algorithm module.

[0020] Step 3: The intelligent dimming algorithm module combines the environmental perception data and the user lighting preference model, uses deep learning or neural network algorithms to calculate the optimal lighting parameters (including brightness, color temperature, color saturation, etc.), and sends the optimal lighting parameters to the intelligent control execution module.

[0021] Step 4: The intelligent control execution module generates corresponding dimming instructions based on the received optimal lighting parameters, and based on the dimming instructions, accurately controls the LED driver power supply through PWM (pulse width modulation) or DALI (digital addressable lighting interface) protocol to accurately dim the LED light source; through intelligent adjustment, it ensures that the lighting environment always meets user preferences and environmental changes, improves the quality of living and working environment, and can effectively reduce energy consumption, in line with the concept of green lighting.

[0022] Step 5: The atmosphere creation monitoring module analyzes the lighting atmosphere creation performance of the lighting area, and enables the user terminal to issue an early warning when an abnormal atmosphere creation signal is generated. It can reasonably evaluate the atmosphere creation performance of the lighting area, which is conducive to timely reminding users to check and repair, and ensure the subsequent lighting performance of the LED light source; the specific analysis process is as follows: The brightness, color temperature and color saturation of the lighting area are collected, the brightness of the lighting area is calculated by difference with the standard brightness in the optimal lighting parameters and the absolute value is taken to obtain the area brightness detection value, the color temperature of the lighting area is calculated by difference with the standard color temperature in the optimal lighting parameters and the absolute value is taken to obtain the color temperature detection value, and the color saturation of the lighting area is calculated by difference with the standard color saturation in the optimal lighting parameters and the absolute value is taken to obtain the color detection value; The regional atmosphere abnormality coefficient QW is obtained by numerically calculating the regional brightness detection value YN, the color temperature detection value YX and the color detection value YF through the formula QW=(py1*YN+py2*YX+py3*YF) / 3; wherein py1, py2 and py3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional atmosphere abnormality coefficient QW is, the worse the real-time lighting execution performance for the lighting area is; Compare the regional atmosphere abnormality coefficient with the preset regional atmosphere abnormality coefficient threshold. If the regional atmosphere abnormality coefficient exceeds the preset regional atmosphere abnormality coefficient threshold, indicating that the real-time lighting execution performance of the lighting area is poor, the atmosphere creation alarm symbol LP-1 is assigned; The number of times the atmosphere creation alarm symbol LP-1 is generated per unit time is obtained and marked as the atmosphere creation alarm value, and the atmosphere creation alarm value is numerically compared with the preset atmosphere creation alarm threshold. If the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, indicating that the atmosphere creation performance for the lighting area is poor, an atmosphere creation abnormality signal is generated.

[0023] Furthermore, if the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, all regional atmosphere abnormality coefficients within a unit time are obtained and their average is calculated to obtain the atmosphere creation performance value, and the regional atmosphere abnormality coefficient with the largest value within a unit time is marked as the atmosphere creation abnormal amplitude value; The atmosphere creation alarm value HF, the atmosphere creation performance value NS and the atmosphere creation amplitude value LF are numerically calculated by the formula HP=mu1*HF+(mu2*NS+mu3*LF) / 2 to obtain the atmosphere creation evaluation value HP; wherein, mu1, mu2 and mu3 are preset proportional coefficients, mu1>mu2>mu3>0.573; and the larger the value of the atmosphere creation evaluation value HP, the worse the atmosphere creation performance for the lighting area is overall; The atmosphere creation evaluation value HP is numerically compared with the preset atmosphere creation evaluation threshold. If the atmosphere creation evaluation value HP exceeds the preset atmosphere creation evaluation threshold, it indicates that the atmosphere creation performance for the lighting area is generally poor, and an atmosphere creation abnormal signal is generated; if the atmosphere creation evaluation value HP does not exceed the preset atmosphere creation evaluation threshold, it indicates that the atmosphere creation performance for the lighting area is generally good, and an atmosphere creation normal signal is generated.

[0024] Embodiment 2: Figure 3 As shown, the difference between this embodiment and the first embodiment is that the atmosphere creation monitoring module is communicatively connected to the light source operation analysis module, the atmosphere creation monitoring module sends the atmosphere creation normal signal to the light source operation analysis module, and the light source operation analysis module analyzes the operation performance of the LED light source within a unit time when receiving the atmosphere creation normal signal; By analyzing and generating the qualified operation signal or operation alarm signal of the LED light source, and sending the qualified operation signal or operation alarm signal to the user terminal, the user terminal issues a corresponding warning when receiving the operation alarm signal, and can accurately identify the lighting anomaly of the LED light source and feedback, and promptly remind the user to check and repair, further ensuring the subsequent lighting performance and operation safety of the LED light source; the specific analysis process of the light source operation analysis module is as follows: The temperature curve of the LED light source in unit time is collected, a rectangular coordinate system is established with time as the X-axis and temperature as the Y-axis, and the temperature curve of the LED light source is placed in the first quadrant of the rectangular coordinate system; In the rectangular coordinate system, a ray parallel to the X-axis with its endpoint on the Y-axis is drawn and marked as a temperature risk ray, and the arc whose temperature curve is above the temperature risk ray is marked as a risk arc; the duration corresponding to the corresponding risk arc is collected and marked as the risk time value, and the average value and maximum value of the Y-direction distance of the corresponding risk arc compared to the temperature risk ray are marked as the risk manifestation value and the risk amplitude value respectively; The arc detection value TL is obtained by numerically calculating the risk time value TW, the risk manifestation value ZF and the risk amplitude value ZY through the formula TL=ng1*TW+(ng2*ZF+ng3*ZY) / 2; wherein ng1, ng, ng3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the arc detection value TL is, the greater the operating temperature risk of the LED light source in the corresponding period is; Compare the arc detection value TL with the preset arc detection threshold. If the arc detection value TL exceeds the preset arc detection threshold, it indicates that the operating temperature risk of the LED light source in the corresponding period is extremely high, and the corresponding risk arc is defined as an alarm arc. If there is an alarm arc on the temperature curve, it indicates that the operating safety of the LED light source is not good, and an operating alarm signal of the LED light source is generated. If there is no alarm arc on the temperature curve, the number of risk arcs on the temperature curve is marked as the arc number inspection value, and a number of coordinate points are set on the temperature curve. The X-direction distance between two adjacent groups of coordinate points is the same, and the Y-direction distance between two adjacent groups of coordinate points is marked as the temperature risk coefficient; the larger the value of the temperature risk coefficient, the faster the temperature increase in the corresponding period of time, and the greater the safety hazard; Compare the temperature risk coefficient with the preset temperature risk coefficient threshold. If the temperature risk coefficient exceeds the preset temperature risk coefficient threshold, it indicates that the temperature increase rate is faster within the corresponding period of time, and the safety hazard is greater. Then the corresponding temperature risk coefficient is marked as an abnormal coefficient. The number of abnormal coefficients is obtained and marked as abnormal number detection values, and the arc number detection value and the abnormal number detection value are numerically compared with the preset arc number detection threshold and the preset abnormal number detection threshold respectively. If the arc number detection value or the abnormal number detection value exceeds the corresponding preset threshold, it indicates that the operation risk of the LED light source is relatively large in general, and an operation alarm signal of the LED light source is generated.

[0025] Furthermore, if the arc number detection value and the abnormal number detection value do not exceed the corresponding preset threshold value, indicating that the overall operation risk of the LED light source is relatively low, the moment when the intelligent control execution module generates the corresponding dimming instruction is collected and marked as the dimming moment, and the moment when the LED light source completes the adjustment is collected and marked as the solution moment, the interval between the solution moment and the dimming moment is marked as the first time length, and the average of all first time lengths within the unit time is calculated to obtain the execution analysis value; and comparing the first duration with a preset first duration threshold; if the first duration exceeds the preset first duration threshold, indicating that the execution of the corresponding dimming instruction is slow, the corresponding first duration is marked as an abnormal duration, and the number of abnormal durations per unit time is obtained and marked as an abnormal time detection value; The execution analysis value and the asynchronous detection value are numerically compared with the preset execution analysis threshold and the preset asynchronous detection threshold respectively. If the execution analysis value or the asynchronous detection value exceeds the corresponding preset threshold, indicating that the operating condition of the LED light source per unit time is poor, an operation alarm signal of the LED light source is generated; if both the execution analysis value and the asynchronous detection value do not exceed the corresponding preset threshold, indicating that the operating condition of the LED light source per unit time is good, an operation qualified signal of the LED light source is generated.

[0026] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the user terminal is connected to the light source management and analysis module through communication, and the light source management and analysis module is used to set the detection period, analyze the quality status of the LED light source, and generate a qualified quality signal or an abnormal quality signal through analysis; And send the qualified quality signal or the abnormal quality signal to the user terminal. When the user terminal receives the abnormal quality signal, it will issue a corresponding warning, which can not only accurately judge the suitability of the LED light source for continued use, but also remind the user to replace the LED light source in time to ensure the subsequent lighting effect and lighting safety. The specific analysis process of the light source management analysis module is as follows: The number of times the atmosphere creation abnormality signal is generated during the detection period is collected and the ratio is calculated with the operation time of the LED light source during the detection period to obtain the creation abnormality detection value, and the number of times the operation alarm signal is generated during the detection period is collected and the ratio is calculated with the operation time of the LED light source during the detection period to obtain the operation alarm value, and the interval between the production date of the LED light source and the current date is collected and marked as the production detection value; By formula The abnormal inspection value XF, the operation alarm value GY and the production inspection value PW are numerically calculated to obtain the transport quality analysis value TM; wherein ws1 and ws2 are preset proportional coefficients, ws1>ws2>0; and the larger the value of the transport quality analysis value TM, the worse the quality of the LED light source is, and the less suitable it is to continue using; The transport quality analysis value TM is numerically compared with the preset transport quality analysis threshold. If the transport quality analysis value TM exceeds the preset transport quality analysis threshold, it indicates that the quality of the LED light source is poor and is not suitable for continued use, and a transport quality abnormality signal is generated; if the transport quality analysis value TM does not exceed the preset transport quality analysis threshold, it indicates that the quality of the LED light source is good and can continue to be used, and a transport quality qualified signal is generated.

[0027] The working principle of the present invention is as follows: when in use, the intelligent dimming algorithm module is combined with the environmental perception data and the user lighting preference model, and the optimal lighting parameters are calculated by deep learning or neural network algorithm. The intelligent control execution module generates corresponding dimming instructions based on the optimal lighting parameters, and the LED driving power supply is accurately controlled based on the dimming instructions through the PWM or DALI protocol to accurately dim the LED light source to ensure that the lighting environment always meets the user's preferences and environmental changes, improve the quality of the living and working environment, and can effectively reduce energy consumption, in line with the concept of green lighting, and analyze the lighting atmosphere creation performance of the lighting area through the atmosphere creation monitoring module. When an abnormal atmosphere creation signal is generated, the user is reminded to conduct a cause investigation and analysis and inspect and repair the LED light source to ensure the subsequent lighting performance of the LED light source, reduce the difficulty of supervision of the LED light source, and have a high degree of intelligence.

[0028] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. 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 contents 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 technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An intelligent dimming method for an intelligent dimming LED backlight lamp, characterized in that: The following steps are involved: Step 1: The environment perception module monitors the environmental parameters of the lighting area in real time and sends the environment perception data to the intelligent dimming algorithm module; Step 2: The user behavior analysis module collects the user's lighting habit information through the smart home platform or mobile APP, analyzes the user behavior through the machine learning algorithm, builds the user lighting preference model and sends it to the smart dimming algorithm module; Step 3: The intelligent dimming algorithm module combines the environmental perception data and the user lighting preference model, uses deep learning or neural network algorithms to calculate the optimal lighting parameters, and sends the optimal lighting parameters to the intelligent control execution module; Step 4: The intelligent control execution module generates a corresponding dimming instruction based on the received optimal lighting parameters, and controls the LED driving power supply through the PWM or DALI protocol based on the dimming instruction to accurately dim the LED light source; Step 5: The atmosphere creation monitoring module analyzes the lighting atmosphere creation performance of the lighting area and causes the user terminal to issue an early warning when an abnormal atmosphere creation signal is generated.

2. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 1, characterized in that: In step 5, the specific analysis process of the atmosphere creation monitoring module includes: Through analysis, it is determined in real time whether to assign the atmosphere creation alarm symbol LP-1, the number of times the atmosphere creation alarm symbol LP-1 is generated per unit time is obtained and marked as the atmosphere creation alarm value, and the atmosphere creation alarm value is numerically compared with the preset atmosphere creation alarm threshold. If the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, an atmosphere creation abnormality signal is generated.

3. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 2, characterized in that: The specific analysis process of judging whether to give the atmosphere an alarm symbol LP-1 in real time through analysis is as follows: The brightness, color temperature and color saturation of the lighting area are collected, the brightness of the lighting area is calculated by difference with the standard brightness in the optimal lighting parameters and the absolute value is taken to obtain the area brightness detection value, the color temperature of the lighting area is calculated by difference with the standard color temperature in the optimal lighting parameters and the absolute value is taken to obtain the color temperature detection value, and the color saturation of the lighting area is calculated by difference with the standard color saturation in the optimal lighting parameters and the absolute value is taken to obtain the color detection value; The regional atmosphere abnormality coefficient is obtained by numerically calculating the regional brightness detection value, the color temperature detection value and the color detection value. If the regional atmosphere abnormality coefficient exceeds the preset regional atmosphere abnormality coefficient threshold, the atmosphere creation alarm symbol LP-1 is assigned.

4. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 2, characterized in that: If the atmosphere creation alarm value exceeds the preset atmosphere creation alarm threshold, all regional atmosphere abnormality coefficients within a unit time are obtained and their average is calculated to obtain the atmosphere creation performance value, and the regional atmosphere abnormality coefficient with the largest value within a unit time is marked as the atmosphere creation abnormal amplitude value; The atmosphere creation evaluation value is obtained by numerically calculating the atmosphere creation alarm value, the atmosphere creation performance value and the atmosphere creation abnormal amplitude value. If the atmosphere creation evaluation value exceeds the preset atmosphere creation evaluation threshold, an atmosphere creation abnormal signal is generated; if the atmosphere creation evaluation value does not exceed the preset atmosphere creation evaluation threshold, a atmosphere creation normal signal is generated.

5. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 2, characterized in that: The atmosphere creation monitoring module is connected to the light source operation analysis module through communication. The atmosphere creation monitoring module sends a normal atmosphere creation signal to the light source operation analysis module. When the light source operation analysis module receives the normal atmosphere creation signal, it analyzes the operation performance of the LED light source within a unit time. An operation qualification signal or an operation alarm signal of the LED light source is generated by analysis, and the operation qualification signal or the operation alarm signal is sent to the user terminal. When the user terminal receives the operation alarm signal, a corresponding warning is issued.

6. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 5, characterized in that: The specific analysis process of the light source operation analysis module includes: The temperature curve of the LED light source in unit time is collected, a rectangular coordinate system is established with time as the X-axis and temperature as the Y-axis, and the temperature curve of the LED light source is placed in the first quadrant of the rectangular coordinate system; In the rectangular coordinate system, a ray parallel to the X-axis with its endpoint on the Y-axis is drawn and marked as a temperature risk ray, and the arc whose temperature curve is above the temperature risk ray is marked as a risk arc; the duration corresponding to the corresponding risk arc is collected and marked as the risk time value, and the average value and maximum value of the Y-direction distance of the corresponding risk arc compared to the temperature risk ray are marked as the risk manifestation value and the risk amplitude value respectively; The arc detection value is obtained by numerically calculating the risk time value, risk manifestation value and risk amplitude value. If the arc detection value exceeds the preset arc detection threshold, the corresponding risk arc is defined as an alarm arc; if there is an alarm arc on the temperature curve, an operation alarm signal of the LED light source is generated.

7. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 6, characterized in that: If there is no alarm arc on the temperature curve, the number of risk arcs on the temperature curve is marked as the arc number check value, and a number of coordinate points are set on the temperature curve. The X-direction distance between two adjacent groups of coordinate points is the same, and the Y-direction distance between two adjacent groups of coordinate points is marked as the temperature risk coefficient. If the temperature risk coefficient exceeds the preset temperature risk coefficient threshold, the corresponding temperature risk coefficient is marked as an abnormal coefficient. The number of abnormal coefficients is obtained and marked as an abnormal number detection value. If the arc number detection value or the abnormal number detection value exceeds the corresponding preset threshold, an operation alarm signal of the LED light source is generated.

8. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 7, characterized in that: If the arc number detection value and the abnormal number detection value do not exceed the corresponding preset threshold value, the moment when the intelligent control execution module generates the corresponding dimming instruction is collected and marked as the dimming moment, and the moment when the LED light source completes the adjustment is collected and marked as the solution moment, and the interval between the solution moment and the dimming moment is marked as the first duration, and the average of all first durations within the unit time is calculated to obtain the execution analysis value; and comparing the first duration with a preset first duration threshold; if the first duration exceeds the preset first duration threshold, marking the corresponding first duration as an abnormal duration, obtaining the number of abnormal durations per unit time and marking it as an abnormal time detection value; If the execution analysis value or the asynchronous detection value exceeds the corresponding preset threshold, an operation alarm signal of the LED light source is generated; if neither the execution analysis value nor the asynchronous detection value exceeds the corresponding preset threshold, an operation qualified signal of the LED light source is generated.

9. The intelligent dimming method of an intelligent dimming LED backlight lamp according to claim 1, characterized in that: The user terminal is connected to the light source management and analysis module through communication. The light source management and analysis module is used to set the detection period, analyze the quality status of the LED light source, generate a qualified transport signal or a transport quality abnormality signal through analysis, and send the qualified transport signal or the transport quality abnormality signal to the user terminal. When the user terminal receives the transport quality abnormality signal, it issues a corresponding warning; The specific analysis process of the light source management analysis module is as follows: The number of times an atmosphere creation abnormality signal is generated during the detection period is collected and the ratio is calculated with the operating time of the LED light source during the detection period to obtain a creation abnormality detection value, and the number of times an operation alarm signal is generated during the detection period is collected and the ratio is calculated with the operating time of the LED light source during the detection period to obtain an operation alarm value, and the interval between the production date of the LED light source and the current date is collected and marked as a production detection value, and the transport quality analysis value is obtained by numerically calculating the creation abnormality detection value, the operation alarm value and the production detection value. If the transport quality analysis value exceeds the preset transport quality analysis threshold, a transport quality abnormality signal is generated; if the transport quality analysis value does not exceed the preset transport quality analysis threshold, a transport quality qualified signal is generated.

10. An intelligent dimming LED backlight lamp, characterized in that: The LED backlight lamp is used to execute the intelligent dimming method described in any one of claims 1 to 9 above.

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