Method and system for realizing temperature compensation based on RGB LED Vf in combination with temperature curve

Abstract

The invention relates to the field of illumination application, and provides a method for realizing temperature compensation based on RGB LED Vf in combination with a temperature curve, which comprises the following steps: acquiring RGB LED initial Vf data in target equipment, constructing a characteristic curve, analyzing the variation trend of the characteristic curve in different temperature intervals, extracting a key turning point to determine a temperature threshold value, dividing temperature sub-intervals according to the temperature threshold value, and calculating the temperature of the target equipment according to the temperature sub-intervals; the method comprises the following steps: acquiring data to construct a three-dimensional data set, fitting to generate an accurate compensation curve, calculating a compensation coefficient according to the accurate compensation curve and by combining the real-time temperature of the current operating environment, adjusting a driving current, monitoring a luminescence performance parameter, calculating a brightness deviation value, analyzing deviation inducements, finding out core influence factors, and calculating the brightness deviation value. And planning a temperature compensation strategy and collecting compensation data, and finally generating a temperature compensation report. According to the invention, the performance of the RGB LED in various application scenes can be improved.

Description

Technical Field

[0001] The present invention relates to the field of lighting applications, and in particular to a method and system for realizing temperature compensation based on RGB LED Vf combined with a temperature curve. Background Art

[0002] With the rapid development of modern lighting and display technology, RGB LED has become the core lighting and display component in many fields with its rich color expression and wide application scenarios, from smart lighting systems, indoor and outdoor display screens, to automotive lighting and backlight sources of consumer electronics products, bringing colorful visual experience and convenient and intelligent lighting solutions.

[0003] At present, traditional temperature compensation methods have obvious limitations. Some methods only use simple linear compensation models, which are difficult to accurately match the complex temperature-Vf characteristic curve of RGB LEDs. In application scenarios with wide temperature ranges and high precision requirements, they cannot effectively suppress the fluctuations in luminous performance caused by temperature changes. Moreover, some existing compensation schemes are often designed for single-color LEDs or specific applications, lacking comprehensive consideration of the overall coordination and compatibility of the RGB system, and are difficult to meet the strict requirements for color accuracy and stability in diversified application scenarios. Therefore, there is an urgent need for an accurate temperature compensation method based on RGB LEDVf combined with temperature curves to improve the performance of RGB LEDs in various application scenarios. Summary of the invention

[0004] The present invention provides a method and system for realizing temperature compensation based on RGB LED Vf combined with a temperature curve, the main purpose of which is to improve the performance of RGB LED in various application scenarios.

[0005] To achieve the above object, the present invention provides a method for temperature compensation based on RGB LED Vf combined with a temperature curve, comprising:

[0006] Acquire initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point;

[0007] Based on the temperature threshold, the temperature sub-intervals in the initial Vf characteristic curve are divided, the real-time Vf values ​​of the RGB LED under different current driving in the temperature sub-intervals are collected, a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals is constructed, and data fitting is performed on the three-dimensional data set to generate an accurate compensation curve corresponding to the temperature sub-intervals;

[0008] Based on the precise compensation curve, query the current operating environment corresponding to the target device, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current;

[0009] Based on the driving adjustment current, monitoring the luminous performance parameters corresponding to the RGB LED, extracting the key luminous value in the luminous performance parameters, and calculating the brightness deviation value between the key luminous value and the preset standard value;

[0010] Analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factors in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collect compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

[0011] Optionally, it is characterized in that constructing an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data includes:

[0012] Collecting basic electrical specifications corresponding to the initial Vf data;

[0013] Analyze the component process links corresponding to the basic electrical specifications;

[0014] Based on the component process, determining the key influencing factors corresponding to the RGB LED;

[0015] Querying a characteristic data set associated with each factor in the key influencing factors;

[0016] Extracting the numerical variation rules corresponding to each subset in the characteristic data set;

[0017] Based on the value variation rule, an initial Vf characteristic curve corresponding to the RGB LED is constructed.

[0018] Optionally, it is characterized in that the dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold comprises:

[0019] Determine a temperature axis corresponding to the temperature threshold;

[0020] After mapping the temperature axis to the initial Vf characteristic curve, temperature mapping data is obtained;

[0021] Analyzing the temperature identification corresponding to the temperature mapping data;

[0022] Querying the temperature characteristic corresponding to the temperature identifier;

[0023] Based on the temperature characteristic, the initial Vf characteristic curve is divided into temperature sub-intervals.

[0024] Optionally, it is characterized in that performing data fitting on the three-dimensional data set to generate a precise compensation curve corresponding to the temperature sub-interval includes:

[0025] Analyze the temperature distribution dimension corresponding to the data in the three-dimensional data set;

[0026] Extracting dimensional distribution features corresponding to the temperature distribution dimension;

[0027] Based on the temperature range characteristics, classify the data in the three-dimensional data set and classify the data into levels;

[0028] Determine the data summarization rule of the data belonging to the data classification level;

[0029] Based on the data induction rule, data fitting is performed on the three-dimensional data set to generate an accurate compensation curve corresponding to the temperature sub-interval.

[0030] Optionally, it is characterized in that querying the current operating environment corresponding to the target device based on the precise compensation curve includes:

[0031] Obtaining a real-time temperature feedback value corresponding to the target device;

[0032] Positioning the real-time temperature feedback value to the precise compensation curve to obtain a curve positioning node;

[0033] Determine the node adaptation range corresponding to the curve positioning node;

[0034] Identify the actual operating status corresponding to the target device;

[0035] Extracting the environment status identifier corresponding to the node in the node adaptation range;

[0036] Based on the actual operating state and the environment state identifier, a current operating environment corresponding to the target device is queried.

[0037] Optionally, it is characterized in that the calculating, based on the real-time temperature, the temperature compensation coefficient corresponding to the temperature sub-interval comprises:

[0038] The temperature compensation coefficient corresponding to the temperature sub-interval is calculated using the following formula:

[0039]

[0040] Wherein, Ks represents the temperature compensation coefficient corresponding to the temperature sub-interval, T eff represents the effective temperature value, δ represents the temperature fluctuation influence coefficient, T represents the real-time temperature, represents the length influence coefficient of the ambient temperature change and the temperature sub-interval, R represents the ambient temperature change rate, ΔT represents the temperature sub-interval length, n represents the number of sampling points, i represents the number index of sampling points, T i represents the i-th sampling temperature value, M represents the temperature measurement error, τ represents the interaction coefficient between the total temperature and temperature fluctuation, and S represents the temperature sampling interval.

[0041] Optionally, it is characterized in that dynamically adjusting the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current includes:

[0042] Query the coefficient characteristic range corresponding to the temperature compensation coefficient;

[0043] Based on the coefficient characteristic range, determining a current adjustment mode corresponding to the temperature compensation coefficient;

[0044] Based on the current adjustment mode, analyzing the adjustable current parameters corresponding to the RGB LED;

[0045] Formulate a driving current adjustment scheme corresponding to the RGB LED according to the adjustable current parameter;

[0046] Verify the test effect of the driving current adjustment scheme in a preset test environment;

[0047] Based on the test result, the driving current of the RGB LED in the target device is dynamically adjusted to obtain the driving adjustment current.

[0048] Optionally, it is characterized in that the calculating of the brightness deviation value between the key luminous value and a preset standard value comprises:

[0049] The brightness deviation between the key luminous value and the preset standard value is calculated using the following formula:

[0050]

[0051] Among them, BD represents the brightness deviation value between the key luminous value and the preset standard value, T' represents the total brightness monitoring time, L0 represents the preset standard luminous value, L1 represents the key luminous value, and dt represents a small increment of time.

[0052] Optionally, it is characterized in that the analyzing the deviation cause corresponding to the brightness deviation value includes:

[0053] Analyze the measurement environment and measurement equipment corresponding to the brightness deviation value;

[0054] Constructing an inducement analysis framework corresponding to the measurement environment and the measurement equipment;

[0055] Based on the inducement analysis framework, query the variable element part in the brightness deviation value measurement;

[0056] Removing interference information from the variable element part to obtain core variable factors;

[0057] Querying the mutual influence items corresponding to the core variable factors;

[0058] Based on the mutual influence terms, an inducement analysis is performed on the brightness deviation value to obtain the deviation inducement.

[0059] Optionally, in order to solve the above problem, the present invention provides a system for implementing temperature compensation based on RGB LED Vf combined with a temperature curve, the system comprising:

[0060] A threshold determination module, used to obtain initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point;

[0061] A curve generating module, for dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold, collecting the real-time Vf values ​​of the RGB LED under different current driving in the temperature sub-intervals, constructing a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals, performing data fitting on the three-dimensional data set, and generating an accurate compensation curve corresponding to the temperature sub-intervals;

[0062] A dynamic adjustment module, configured to query the current operating environment corresponding to the target device based on the precise compensation curve, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current;

[0063] A deviation value calculation module, used to monitor the luminous performance parameters corresponding to the RGB LED based on the driving adjustment current, extract key luminous values ​​from the luminous performance parameters, and calculate the brightness deviation value between the key luminous value and a preset standard value;

[0064] The report generation module is used to analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factors in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collect compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

[0065] First, the present invention can lay the foundation for constructing an accurate initial Vf characteristic curve by acquiring the initial Vf data corresponding to the RGB LED in the target device, thereby deeply analyzing the changing rules in different temperature ranges, effectively ensuring the accuracy and effectiveness of the entire temperature compensation process, and improving the color accuracy and stability performance of RGB LED in multi-scenario applications. At the same time, the present invention divides the temperature sub-ranges in the initial Vf characteristic curve based on the temperature threshold, which helps to refine the analysis granularity of the RGB LED characteristics, making the research in different temperature segments more targeted, and can more accurately collect the real-time Vf values ​​under different current drives in each sub-range, laying the foundation for constructing a highly accurate Vf-temperature-current three-dimensional data set, thereby improving the quality of the subsequent generated accurate compensation curve, and ensuring that RGB LED can achieve stable and accurate luminous performance regulation in various complex temperature environments. The present invention queries the current operating environment corresponding to the target device based on the accurate compensation curve, which helps to grasp the difference between the environmental conditions of the device and the ideal state in real time, and can adjust the relevant parameters in a targeted manner according to the compensation curve to ensure that the target device, such as RGB Key components such as LEDs maintain stable performance in the current environment, effectively reducing the adverse effects of environmental factors on equipment operation. Based on the drive adjustment current, the present invention monitors the luminous performance parameters corresponding to the RGB LED, and can grasp the brightness, color, etc. of the LED light in real time, ensuring that it presents the expected visual effect under different temperature environments, which helps to timely discover the performance anomalies that may exist in the LED, perform maintenance or adjustments in advance, extend its service life, and ensure the stable and reliable operation of related equipment. Furthermore, by analyzing the deviation inducement corresponding to the brightness deviation value, the present invention can accurately locate the cause of the non-compliance of the luminous performance with the standard, which helps to quickly take targeted solutions, helps to optimize the production process, improve the links that may cause deviations in the manufacturing process, improve product quality, and assist in equipment maintenance, extend the service life of the equipment, and ensure stable operation of the equipment. Therefore, the method and system for realizing temperature compensation based on RGB LED Vf combined with temperature curve proposed by the present invention can improve the performance of RGB LED in various application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1A flow chart of a method for realizing temperature compensation based on RGB LED Vf combined with a temperature curve provided by an embodiment of the present invention;

[0067] Figure 2 A schematic diagram of a module of a system for implementing temperature compensation based on RGB LED Vf combined with a temperature curve provided by an embodiment of the present invention.

[0068] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0069] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0070] The embodiment of the present application provides a method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve. The execution subject of the method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0071] Embodiment 1:

[0072] Reference Figure 1 FIG. 1 is a flow chart of a method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve according to an embodiment of the present invention. In this embodiment, the method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve includes:

[0073] S1. Acquire initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point.

[0074] By acquiring the initial Vf data corresponding to the RGB LED in the target device, the present invention can lay the foundation for constructing an accurate initial Vf characteristic curve, thereby deeply analyzing the changing rules in different temperature ranges, effectively ensuring the accuracy and effectiveness of the entire temperature compensation process, and improving the color accuracy and stability performance of RGB LED in multi-scenario applications.

[0075] The target device refers to various electronic devices using RGB LEDs, such as smart lighting fixtures, indoor and outdoor display screens, automotive lighting devices, and consumer electronic products; the RGB LED refers to a light-emitting diode that can emit three primary colors of red, green, and blue, and can present a variety of color effects by mixing light in different proportions; the initial Vf data refers to the forward voltage drop value at both ends of the RGB LED under specific initial conditions (such as a specific standard temperature, initial current, etc.), and these data reflect the electrical characteristics of the RGB LED in the initial state. Optionally, obtaining the initial Vf data corresponding to the RGB LED in the target device can be achieved through a hardware measurement method, such as: using a high-precision voltmeter directly connected to both ends of the RGB LED, measuring its forward voltage drop under set initial conditions, and obtaining accurate initial Vf data.

[0076] Furthermore, the present invention constructs an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, which can intuitively present the intrinsic relationship between the RGB LED voltage and other factors, and is helpful for in-depth understanding of its electrical characteristics. The temperature interval can be accurately divided according to the curve, and a framework is provided for the subsequent generation of precise compensation curves, making the temperature compensation strategy more targeted and scientific, and effectively improving the stability of the luminous performance and the color accuracy of the RGB LED in different application scenarios.

[0077] Among them, the initial Vf characteristic curve refers to a function curve drawn according to the law of numerical change, with temperature, current, etc. as independent variables and initial Vf data as dependent variables. It intuitively shows the electrical behavior characteristics of RGB LED in the initial state, and clearly presents the change trend of Vf under different conditions, providing a visual core basis for application scenarios such as circuit design, performance evaluation, and temperature compensation strategy formulation.

[0078] As an embodiment of the present invention, constructing the initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data includes: collecting basic electrical specifications corresponding to the initial Vf data; analyzing component process links corresponding to the basic electrical specifications; determining key influencing factors corresponding to the RGB LED based on the component process links; querying the characteristic data set associated with each factor in the key influencing factors; extracting the numerical variation law corresponding to each subset in the characteristic data set; and constructing the initial Vf characteristic curve corresponding to the RGB LED based on the numerical variation law.

[0079] Among them, the basic electrical specifications refer to the electrical parameter details directly related to RGB LED, including rated voltage, rated current, maximum power, reverse breakdown voltage, etc. These specifications define the electrical performance boundaries of RGB LED under normal working and extreme conditions; the component process links refer to various stages in the RGB LED production and manufacturing process, including epitaxial growth of semiconductor materials, chip manufacturing, chip packaging and other steps. Differences in process conditions (such as doping concentration, epitaxial layer thickness, packaging materials and processes, etc.) in each link will significantly affect the internal structure and electrical characteristics of the LED; the key influencing factors refer to the elements extracted from the component process links that play a decisive role in the initial Vf characteristics of RGB LED, such as the bandgap width of semiconductor materials (determined by material composition and doping) affects the energy required for electron and hole recombination and thus affects Vf, the chip size affects the current distribution and heat dissipation and thus changes Vf, the thermal conductivity of the packaging material affects the indirect regulation of Vf by temperature conduction, etc.; the characteristic data set refers to a series of RGB LEDs that are closely linked to the key influencing factors. Data groups of LED performance, such as the theoretical Vf value range corresponding to different material bandgap widths, the Vf data array measured at different current densities for specific chip sizes, the temperature-Vf correlation data group when various packaging materials are matched, etc.; the numerical variation law refers to the systematic variation trend of the Vf value presented in the characteristic data set as the key influencing factors change, such as Vf showing an exponential increase trend with the increase of bandgap width, Vf increasing according to a specific functional relationship as the chip size decreases, and Vf decreasing according to a linear or nonlinear (depending on the packaging material) law when the temperature rises.

[0080] Furthermore, the basic electrical specifications corresponding to the initial Vf data can be collected by a digital multimeter, such as directly measuring the basic electrical parameters of the RGB LED, such as the forward voltage (Vf), reverse voltage, and forward current, to obtain the basic electrical specifications; the component process links corresponding to the basic electrical specifications can be analyzed by the FMEA method, such as analyzing the factors that may cause the voltage to rise in each link from epitaxial growth to packaging, such as abnormal doping concentration, poor chip bonding, etc., to determine the component process links; the determination of the RGB The key influencing factors corresponding to LED can be realized by grey correlation analysis, such as finding out the closely related key influencing factors by calculating the grey correlation between each factor and the Vf data sequence through GRA method; the query of the characteristic data set associated with each factor in the key influencing factors can be realized by data mining tools, such as Weka tool, which can automatically discover the hidden correlation patterns between key influencing factors and characteristic data in a large amount of historical data to form an association rule set; the extraction of the numerical variation law corresponding to each subset in the characteristic data set can be realized by ARIMA model, such as using ARIMA model to analyze the autocorrelation and trend of data, decompose the trend, seasonality and random fluctuation components, and extract the variation law of data in the time dimension; the construction of the initial Vf characteristic curve corresponding to the RGBLED can be realized by drawing tools, such as Origin, Matplotlib and other tools.

[0081] By analyzing the changing trend of the initial Vf characteristic curve in different temperature intervals, the present invention can accurately understand the evolution of the electrical characteristics of RGB LED with temperature fluctuations, provide a scientific basis for dividing key temperature sub-intervals, and effectively guide the subsequent collection of real-time Vf values ​​under different current drives, so that the constructed three-dimensional data set is more in line with the actual working conditions, greatly improve the accuracy and effectiveness of the temperature compensation curve, and ensure that RGB LED can stably and accurately present color and brightness in various application scenarios.

[0082] The different temperature intervals refer to several representative sub-intervals into which the temperature range in which the RGB LED may work is divided according to actual application requirements and research purposes. For example, the temperature range of -40°C to 100°C can be divided into multiple different temperature intervals, such as -40°C to -20°C, -20°C to 0°C, 0°C to 20°C, etc., according to certain temperature intervals, such as one interval of 10°C or 20°C. The change trend refers to the law and trend of the initial Vf characteristic curve of the RGB LED changing with the temperature in different temperature intervals. For example, in a certain temperature interval, the initial Vf value decreases linearly with the increase of temperature; in another temperature interval, the initial Vf value will show nonlinear changes with the increase of temperature, such as first slowly decreasing and then sharply decreasing. Optionally, the analysis of the change trend of the initial Vf characteristic curve in different temperature intervals can be achieved by a machine learning algorithm, such as: using a regression algorithm or a time series analysis algorithm in machine learning to train and predict data, and analyzing the change trend of the prediction results in different temperature intervals.

[0083] Furthermore, the present invention can accurately locate the key temperature points where the electrical characteristics of the RGB LED change significantly by extracting the key turning points in the change trend and determining the temperature thresholds corresponding to the key turning points, so that the subsequent construction of the Vf-temperature-current three-dimensional data set in each sub-interval is more targeted and accurate, which helps to generate a highly adaptive and accurate compensation curve, thereby effectively coping with the fluctuations in luminous performance caused by temperature changes and greatly improving the color and brightness stability of the RGB LED in complex application scenarios.

[0084] The key turning point refers to the point where the rate of change of the Vf value changes significantly, the slope of the curve changes suddenly, or the direction of the curve changes substantially in the trend of the initial Vf characteristic curve changing with temperature, for example, the transition from a relatively gentle change interval to a fast rising or falling interval, or the starting position of a linear change trend to a nonlinear change trend, etc.; the temperature threshold refers to the temperature value corresponding to the key turning point. The temperature value is the boundary for dividing different temperature-affected areas. Above and below this temperature, the Vf characteristics of the RGB LED and related electrical and optical properties will show different change laws and response characteristics, which is an important basis for subsequent temperature interval division, data collection and analysis, and formulation of temperature compensation strategies. Optionally, the extraction of the key turning point in the change trend can be achieved by a curvature calculation method, such as identifying the key turning point by calculating the curvature of the curve, and the extreme point of the curvature usually corresponds to the key turning point; the determination of the temperature threshold corresponding to the key turning point can be achieved by a curve fitting root method, such as curve fitting of the data near the key turning point, and then determining the temperature threshold by solving the intersection of the fitting curve and a specific straight line or curve.

[0085] S2. Based on the temperature threshold, the initial Vf characteristic curve is divided into temperature sub-intervals, the real-time Vf values ​​of the RGB LED driven by different currents in the temperature sub-intervals are collected, a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals is constructed, and data fitting is performed on the three-dimensional data set to generate an accurate compensation curve corresponding to the temperature sub-intervals.

[0086] The present invention divides the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold, which helps to refine the analysis granularity of the RGB LED characteristics, making the research in different temperature sections more targeted, and can more accurately collect the real-time Vf values ​​under different current drives in each sub-interval, laying the foundation for building a highly accurate Vf-temperature-current three-dimensional data set, thereby improving the quality of the subsequent generated accurate compensation curve, and ensuring that the RGB LED can achieve stable and accurate luminous performance regulation in various complex temperature environments.

[0087] The temperature sub-interval refers to each independent temperature segment area divided according to the temperature threshold, temperature characteristics, etc. in the initial Vf characteristic curve. The Vf characteristics of the RGB LED in each sub-interval show a relatively uniform law or trend with temperature changes. It is the basic unit for subsequent data collection, analysis and modeling, and formulation of temperature compensation strategies for different temperature conditions.

[0088] As an embodiment of the present invention, dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold includes: determining a temperature axis corresponding to the temperature threshold; mapping the temperature axis to the initial Vf characteristic curve to obtain temperature mapping data; analyzing a temperature identifier corresponding to the temperature mapping data; querying a temperature characteristic corresponding to the temperature identifier; and dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature characteristic.

[0089] The temperature axis is a coordinate axis with temperature values ​​as the scale, and its range covers RGB All temperature ranges of LED actual work or research concern are the benchmark framework for locating and associating the temperature threshold to the initial Vf characteristic curve, providing a clear temperature measurement direction and position reference system for the subsequent division of temperature sub-intervals; the temperature mapping data refers to the data set generated after the temperature axis is associated and mapped with the initial Vf characteristic curve, which contains a combination of multivariate data such as the temperature value and the coordinate information of the corresponding point on the curve, the Vf value, etc., which intuitively presents the detailed data distribution of the characteristic curve under the temperature dimension, and is the core data source for in-depth analysis of the temperature characteristics of the curve, extraction of key information, and determination of subsequent division marks and interval boundaries; the temperature mark refers to a mark symbol or data label in the temperature mapping data that can clearly distinguish different temperature areas, key temperature turning points, or specific temperature attribute characteristics, such as marking the point corresponding to the temperature threshold on the curve, the temperature change rate mutation point, etc.; the temperature characteristics refer to the characteristics presented on the basis of the temperature mapping data and related marks, such as the monotonicity of temperature change (monotonically increasing, decreasing or constant), the stability of Vf change in the temperature interval (smooth, violent fluctuations), and the sensitivity of different temperature segments to the influence of Vf.

[0090] Furthermore, the determination of the temperature axis corresponding to the temperature threshold can be achieved through a data preprocessing method, such as: the collected temperature data can be sorted and sorted by data preprocessing, and its value range can be clarified to obtain the temperature axis; the mapping of the temperature axis to the initial Vf characteristic curve can be achieved through a data interpolation method, such as: the data interpolation method can be used to find the corresponding Vf value on the initial Vf characteristic curve according to the discrete temperature points on the temperature axis, thereby establishing a mapping relationship between temperature and Vf; the analysis of the temperature identifier corresponding to the temperature mapping data can be achieved through a differential algorithm, such as: using a differential algorithm Calculate the approximate derivative of the temperature mapping data, and determine whether the change of the derivative is significant by setting a threshold, so as to determine the temperature identification point; the query of the temperature characteristics corresponding to the temperature identification can be achieved through the data window method, such as: a data window of a certain range can be selected near the temperature identification point, and the data in the window can be statistically analyzed, such as calculating the average Vf value, the variance of the Vf value, etc., to describe the temperature characteristics corresponding to the temperature identification; the division of the temperature sub-intervals in the initial Vf characteristic curve can be achieved through the threshold segmentation method, such as: the temperature sub-intervals can be divided by the threshold segmentation method according to the temperature identification and the corresponding temperature characteristics.

[0091] The present invention collects the real-time Vf value of the RGB LED driven by different currents in the temperature sub-intervals, and constructs a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals, which can fully present the electrical characteristics of the RGB LED under different working conditions, and provide rich data support for accurately analyzing the law of its change with current and temperature in each temperature sub-interval, which is helpful for subsequent data fitting to generate an accurate compensation curve, thereby effectively improving the temperature compensation accuracy of the RGB LED luminous performance.

[0092] The different current drives refer to a series of current excitations with different magnitudes or directions applied to the RGB LED during the study of the RGB LED, such as a series of discrete current values ​​ranging from a few mA to tens of mA; the real-time Vf value refers to the forward voltage drop value measured at both ends of the RGB LED in real time when the RGB LED is driven with different currents within a specific temperature sub-interval. Since the Vf value changes with the temperature and current, the real-time measurement can accurately capture the instantaneous electrical state of the RGB LED under different working conditions. These data reflect its dynamic characteristics during actual operation; the Vf-temperature-current refers to the RGB A relationship system is formed by integrating the three key parameters of the LED forward voltage drop (Vf), the ambient temperature and the applied driving current for comprehensive consideration and research; the three-dimensional data set refers to a data set constructed with temperature, current and Vf value as three coordinate axes, wherein each data point corresponds to the real-time Vf value measured under a specific temperature and a specific current drive. This data set completely records the Vf change of the RGBLED under various current driving conditions in different temperature sub-ranges in a three-dimensional form. Optionally, the real-time Vf value of the RGBLED under different current driving conditions in the temperature sub-range can be collected by a circuit simulation tool, such as LTspice, Multisim and other tools; the construction of the three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-range can be realized by a data analysis tool, such as Origin, Excel tool.

[0093] Furthermore, the present invention generates an accurate compensation curve corresponding to the temperature sub-interval by performing data fitting on the three-dimensional data set, which can accurately quantify the complex relationship between the temperature, current and Vf value of the RGB LED, provide an accurate basis for correcting the Vf value deviation under different working conditions, and effectively overcome the adverse effects of temperature changes on luminous performance, so that the RGB LED can maintain stable and consistent color and brightness output in various application scenarios.

[0094] The precise compensation curve refers to a function curve obtained by fitting the data in the three-dimensional data set with temperature as the independent variable and used to accurately adjust the Vf value of the RGB LED to offset the influence of temperature. The curve gives corresponding ideal Vf compensation values ​​at different temperature values ​​to ensure that the electrical performance of the RGB LED is stable within the entire operating temperature range, so that its luminous characteristics (such as brightness, color coordinates, etc.) are not affected by temperature fluctuations or can be accurately corrected according to predetermined standards.

[0095] As an embodiment of the present invention, the data fitting of the three-dimensional data set to generate the precise compensation curve corresponding to the temperature sub-interval includes: parsing the temperature distribution dimension corresponding to the data in the three-dimensional data set; extracting the dimensional distribution characteristics corresponding to the temperature distribution dimension; based on the temperature interval characteristics, classifying the data in the three-dimensional data set to obtain a data classification hierarchy; determining the data induction rule of the data belonging to the data classification hierarchy; and based on the data induction rule, fitting the data of the three-dimensional data set to generate the precise compensation curve corresponding to the temperature sub-interval.

[0096] Among them, the temperature distribution dimension refers to a data description dimension constructed with temperature value as the core in the three-dimensional data set, which covers all temperature values ​​within the research scope and is the basic framework for presenting the changes in the electrical characteristics of RGB LEDs under different temperature conditions. It intuitively reflects the key information such as the distribution range, density and change gradient of temperature in the entire data system; the dimensional distribution characteristics refer to the representative and recognizable attribute characteristics extracted from the temperature distribution dimension, such as the central tendency of temperature distribution (mean, median, etc.), the degree of dispersion (variance, standard deviation, etc.), whether there is a clustering phenomenon in a specific temperature range, whether there are abnormal temperature values ​​or temperature breakpoints, etc.; the data classification level refers to the hierarchical structure formed by dividing the data in the three-dimensional data set according to the temperature level based on the temperature range characteristics (such as different temperature sub-ranges divided based on key temperature thresholds), and each level is for Corresponding to a specific temperature range, it includes all current values ​​and corresponding Vf value data combinations within the temperature range. This classification method makes the data present an orderly hierarchical structure in the temperature dimension, which is convenient for data processing and law exploration under different temperature conditions; the data induction law refers to the consistent and summarizable change pattern or mathematical relationship between the current value and the Vf value relative to the temperature change in each data classification level. For example, in a certain temperature sub-interval, the Vf value shows a linear growth trend with the increase of current and the growth slope has a specific functional relationship with the temperature, or in another temperature range, the Vf value and the current follow a certain exponential relationship and there is a fixed coefficient adjustment law affected by temperature.

[0097] Furthermore, the analysis of the temperature distribution dimension corresponding to the data in the three-dimensional data set can be achieved through data visualization technology, such as: drawing a histogram of temperature values, intuitively presenting the distribution frequency of temperature data in different intervals, understanding the concentration and dispersion of data, and obtaining the temperature distribution dimension; the extraction of the dimensional distribution characteristics corresponding to the temperature distribution dimension can be achieved through statistical analysis tools, such as: using the summary function of the R language to analyze the temperature data column, and directly obtaining key statistics such as the mean, median, and standard deviation. These statistics comprehensively reflect the dimensional distribution characteristics such as the concentration trend and dispersion degree of the temperature distribution; the classification of the data in the three-dimensional data set can be achieved through clustering. Algorithm implementation, such as: DBSCAN and other algorithms; the data induction law of the data belonging to the data classification level can be determined by a machine learning regression model, such as: a support vector regression model. In each classification level, temperature and current are used as input features, and Vf value is used as the target variable for training. The model learns the complex mapping relationship between the data, thereby summarizing the data law between temperature, current and Vf value in this level; the data fitting of the three-dimensional data set can be achieved by a numerical optimization algorithm, such as: using Newton's method to quickly solve the optimal parameters, so that the fitting curve is closely fitted to the data points in the three-dimensional data set, achieving high-precision data fitting, and effectively constructing an accurate compensation curve corresponding to the temperature sub-interval.

[0098] S3. Based on the precise compensation curve, query the current operating environment corresponding to the target device, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current.

[0099] The present invention queries the current operating environment corresponding to the target device based on the precise compensation curve, which helps to grasp the difference between the environmental condition of the device and the ideal state in real time, and can adjust relevant parameters in a targeted manner according to the compensation curve to ensure that key components such as RGB LED in the target device maintain stable performance in the current environment, effectively reducing the adverse effects of environmental factors on device operation.

[0100] The current operating environment refers to the complete physical environment condition of the target device at the current moment, including the comprehensive state of multiple environmental factors such as real-time temperature conditions, humidity level, air pressure state, and electromagnetic interference intensity.

[0101] As an embodiment of the present invention, querying the current operating environment corresponding to the target device based on the precise compensation curve includes: obtaining a real-time temperature feedback value corresponding to the target device; locating the real-time temperature feedback value to the precise compensation curve to obtain a curve positioning node; determining a node adaptation range corresponding to the curve positioning node; identifying an actual operating state corresponding to the target device; extracting an environmental state identifier corresponding to a node in the node adaptation range; and querying the current operating environment corresponding to the target device based on the actual operating state and the environmental state identifier.

[0102] The real-time temperature feedback value refers to the specific value of the current ambient temperature of the target device collected and transmitted in real time by the temperature sensor installed inside the target device or in its surrounding environment. The value can dynamically reflect the instantaneous temperature conditions faced by the target device during operation; the curve positioning node refers to the closest corresponding point on the precise compensation curve that is accurately matched with the real-time temperature feedback value or found through a specific algorithm (such as an interpolation algorithm). This point has a clear coordinate position in the coordinate system of the compensation curve and represents the key electrical parameters (such as RGB) determined according to the pre-built compensation curve model under the current temperature conditions. The node adaptation range refers to a temperature interval defined with the curve positioning node as the center and based on a certain temperature deviation tolerance or performance stability requirement. The interval is intended to take into account the fluctuation characteristics of the actual ambient temperature and the performance similarity of the equipment within a certain temperature range, and includes the temperature changes near the curve positioning node. The actual operating state refers to the comprehensive working performance state of the target device in terms of electrical performance, mechanical operation, and function execution in addition to the temperature environment factors. For example, for electronic equipment, it may include the load rate of the processor, the current stability of the circuit, the communication status between modules, etc.; for mechanical equipment, it may involve parameters such as speed, torque, and vibration amplitude. The environmental state identifier refers to an environmental feature label or code corresponding to a specific temperature condition that is pre-defined or derived through data analysis and induction within the temperature range covered by the node adaptation range. These identifiers may cover the degree of impact of the ambient temperature on the performance of the device (such as normal, slight impact, severe impact, etc.), the specific operating mode or adjustment strategy indication required for the device within the temperature range, and the description of the association with other environmental factors (such as humidity, air pressure, etc., if relevant).

[0103] Further, the acquisition of the real-time temperature feedback value corresponding to the target device can be achieved by a temperature sensor, such as: using a temperature sensor to collect temperature signals at a set sampling frequency (such as 10 times per second) and converting them into digital quantities, transmitting them to the device control system, and obtaining real-time temperature feedback values ​​after processing; the determination of the node adaptation range corresponding to the curve positioning node can be achieved by an interval setting algorithm, such as: taking the temperature value of the curve positioning node as the center, setting a fixed width or dynamically adjusted temperature interval range according to the tolerance of the device to temperature fluctuations; the identification of the actual operating state corresponding to the target device can be achieved by a sensor network, such as: fusing and analyzing multi-sensor data, judging whether the device has abnormal conditions such as overload, imbalance, wear, etc. according to the training model, thereby identifying the actual operating state and obtaining the actual operating state; the extraction of the environmental state identifier corresponding to the node in the node adaptation range can be achieved by a database query method, such as: retrieving matching records in the database through an SQL query statement, combining predefined environmental state classification rules (such as temperature-humidity two-dimensional matrix to divide different environmental levels), extracting the corresponding environmental state identifier, and obtaining the environmental state identifier; the query of the current operating environment corresponding to the target device can be achieved by a data fusion algorithm, such as: Kalman filtering algorithm, Bayesian estimation algorithm, etc.

[0104] By collecting the real-time temperature in the current operating environment, the present invention can provide a key basis for evaluating the operating status of the target device. By comparing with the preset temperature threshold, it is possible to timely detect whether the device is in an abnormal temperature condition, so as to give early warning and take regulatory measures, which is helpful to accurately adjust the operating parameters of components such as RGB LEDs, so that their performance is not excessively affected by temperature fluctuations, thereby ensuring the stability and reliability of the overall operation of the device.

[0105] Among them, the real-time temperature refers to the specific value of the ambient temperature actually measured and obtained at the current moment by a temperature sensor installed in the environment where the target device is located. It can dynamically reflect the instantaneous hot and cold degree of the environment around the target device, and is constantly updated and changed over time. It is basic data for understanding the thermal environment conditions of the device, analyzing the impact of temperature on device operation, and implementing corresponding temperature control strategies. Optionally, the real-time temperature in the current operating environment can be collected through a temperature sensor, such as: thermocouple, thermistor, semiconductor temperature sensor, etc., to obtain the ambient temperature in real time.

[0106] Based on the real-time temperature, the present invention calculates the temperature compensation coefficient corresponding to the temperature sub-interval, and can accurately quantify the adjustment range of the key parameters of the equipment operation according to the actual temperature conditions, ensuring that components such as RGB LED maintain stable performance under different temperature environments, and reducing the fluctuation of working characteristics caused by temperature changes. Effectively improve the accuracy and reliability of the overall operation of the equipment.

[0107] The temperature compensation coefficient refers to a coefficient that takes into account multiple factors such as effective temperature value, temperature fluctuation, ambient temperature change rate, sampling temperature value, measurement error, etc., and is used to correct or compensate for the impact of temperature changes on system performance.

[0108] As an embodiment of the present invention, the calculating, based on the real-time temperature, the temperature compensation coefficient corresponding to the temperature sub-interval includes:

[0109] The temperature compensation coefficient corresponding to the temperature sub-interval is calculated using the following formula:

[0110]

[0111] Wherein, Ks represents the temperature compensation coefficient corresponding to the temperature sub-interval, T eff represents the effective temperature value, δ represents the temperature fluctuation influence coefficient, T represents the real-time temperature, represents the length influence coefficient of the ambient temperature change and the temperature sub-interval, R represents the ambient temperature change rate, ΔT represents the temperature sub-interval length, n represents the number of sampling points, i represents the number index of sampling points, T i represents the i-th sampling temperature value, M represents the temperature measurement error, τ represents the interaction coefficient between the total temperature and temperature fluctuation, and S represents the temperature sampling interval.

[0112] In detail, the temperature fluctuation influence coefficient reflects the degree of influence of temperature fluctuation on the system. For example, if the temperature fluctuation is large and the value of δ is large, then the value of (1-δT) will be small, so that the effective temperature value is adjusted accordingly when calculating the temperature compensation coefficient; the length influence coefficient refers to the length influence degree corresponding to the ambient temperature change and the temperature sub-interval, which is used to consider the influence of the ambient temperature change on the temperature compensation coefficient in temperature sub-intervals of different lengths; the ambient temperature change rate refers to the rate at which the ambient temperature changes with time or other variables, which is used to measure the influence of the ambient temperature change on the temperature compensation coefficient in temperature sub-intervals of different lengths; the temperature measurement error refers to the error generated when measuring the real-time temperature or the sampled temperature value, and the measurement error comes from factors such as the accuracy of the sensor and the interference of the measurement environment; the interaction influence coefficient refers to the degree of interaction between the total temperature and the temperature fluctuation, which indicates the influence of the interaction between the total temperature and the temperature fluctuation on the calculation of the temperature compensation coefficient; the temperature sampling interval refers to the time interval between two adjacent samples or other measurement interval when collecting temperature data.

[0113] The present invention dynamically adjusts the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current, which can ensure that the RGB LED maintains stable color performance under different temperature environments and avoid color deviation caused by temperature changes. The dynamic adjustment of the driving current can extend the service life of the RGB LED and reduce component damage caused by overheating or overcurrent, which helps to improve the overall energy efficiency of the target device, enable the device to operate under an appropriate current, and reduce unnecessary energy consumption.

[0114] Among them, the driving current refers to the current provided to make the RGB LED emit light, which is the key factor for the electrons and holes in the LED chip to recombine, thereby generating photons and then emitting light; the driving adjustment current refers to the current obtained after the driving current of the RGB LED in the target device is dynamically adjusted according to the test results. It is the most suitable driving current for the normal operation of the RGB LED in the current temperature environment determined after comprehensively considering the temperature compensation coefficient, current adjustment mode, adjustable current parameters, driving current adjustment scheme and test results.

[0115] As an embodiment of the present invention, dynamically adjusting the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current includes: querying the coefficient characteristic range corresponding to the temperature compensation coefficient; determining the current adjustment mode corresponding to the temperature compensation coefficient based on the coefficient characteristic range; analyzing the adjustable current parameters corresponding to the RGB LED based on the current adjustment mode; formulating the driving current adjustment scheme corresponding to the RGB LED according to the adjustable current parameters; verifying the test effect of the driving current adjustment scheme in a preset test environment; and dynamically adjusting the driving current of the RGB LED in the target device based on the test effect to obtain the driving adjustment current.

[0116] The coefficient characteristic range refers to the range of possible values ​​of the temperature compensation coefficient. This range is determined by factors such as the working environment temperature range of the target device and the heat dissipation characteristics of the device itself. For example, in a low temperature environment, the temperature compensation coefficient is small, while in a high temperature environment, the temperature compensation coefficient is large; the current adjustment mode refers to one or more methods of adjusting the RGB LED drive current determined based on the characteristic range of the temperature compensation coefficient. For example, when the temperature compensation coefficient is in a smaller range, a linear driving current increase mode can be adopted; and when the temperature compensation coefficient is in a larger range, a nonlinear (such as exponential growth) driving current increase mode can be adopted; the adjustable current parameter refers to a current-related parameter that can be changed according to the current adjustment mode in the RGB LED driving circuit in the target device, and these parameters include but are not limited to the amplitude, frequency, duty cycle, etc. of the driving current; the driving current adjustment scheme refers to a set of specific operation plans formulated according to the adjustable current parameters, which is used to adjust the RGB LED driving current, and it details how to set and operate the adjustable current parameters in detail under different temperature compensation coefficients; the test effect refers to the result produced after the driving current adjustment scheme is applied to the preset test environment, and these results include but are not limited to the performance of the RGB LED in terms of brightness, color accuracy, luminous stability, etc.

[0117] Furthermore, the query of the coefficient characteristic range corresponding to the temperature compensation coefficient can be implemented through Excel tools, such as: analyzing its distribution through a pivot table, drawing a histogram to intuitively display the value range, and thus determining the coefficient characteristic range; the determination of the current adjustment mode corresponding to the temperature compensation coefficient can be implemented through a rule engine algorithm, such as: when a new temperature compensation coefficient is input, the rule engine automatically matches and determines the corresponding current adjustment mode according to predefined rules; the analysis of the adjustable current parameters corresponding to the RGB LED can be implemented by what methods, tools or algorithms, such as: by monitoring the changes in parameters such as current and voltage in the circuit, analyzing the change rules and feasible adjustment ranges of adjustable current parameters such as driving current amplitude, frequency, and duty cycle at different temperatures; the formulation of the driving current adjustment scheme corresponding to the RGB LED can be implemented through an intelligent optimization algorithm, such as: using a genetic algorithm to calculate the driving current of the RGB LED. The objective function is to achieve the best luminous performance (such as brightness uniformity, color accuracy, etc.) of LED at different temperatures, and the drive current parameters to be adjusted (amplitude, frequency, duty cycle, etc.) are used as optimization variables. After multiple generations of evolutionary calculations, a drive current adjustment scheme is obtained); the test effect of verifying the drive current adjustment scheme in a preset test environment can be achieved through an automated test system, such as: applying different currents according to the drive current adjustment scheme, collecting data such as luminous intensity and color coordinates through a light sensor, and recording and transmitting the data to a computer for analysis through a data acquisition card, comparing the test data at different temperatures with the ideal performance indicators, so as to determine the test effect; the dynamic adjustment of the drive current of the RGB LED in the target device can be achieved through microcontroller programming, such as: writing an interrupt service program based on temperature sensor feedback, when a temperature change is detected, according to a pre-stored temperature compensation coefficient and current adjustment relationship table, the drive current amplitude and duty cycle output to the RGBLED are calculated in real time in the interrupt program and adjusted through the PWM module, so as to achieve dynamic adjustment of the drive current.

[0118] S4. Based on the driving adjustment current, monitor the luminous performance parameters corresponding to the RGB LED, extract the key luminous value in the luminous performance parameters, and calculate the brightness deviation value between the key luminous value and the preset standard value.

[0119] The present invention adjusts the current based on the drive and monitors the luminous performance parameters corresponding to the RGB LED, and can grasp the brightness, color and other conditions of the LED light in real time, ensuring that it presents expected visual effects under different temperature environments, which helps to timely discover the performance anomalies that may exist in the LED, perform maintenance or adjustment in advance, extend its service life, and ensure stable and reliable operation of related equipment.

[0120] Among them, the luminous performance parameters refer to a series of key indicators used to comprehensively characterize the luminous characteristics of RGB LEDs, including but not limited to brightness, that is, the intensity of light emitted per unit area, which directly affects the brightness of visual perception; color coordinates, which determine the precise position of the emitted color in a specific color space to ensure the accuracy and consistency of the color; color rendering index, which reflects the ability of LED to restore the true color of an object, and the higher the value, the more realistic the color restoration; luminous efficiency, which reflects the ratio of electrical energy to light energy, which is related to energy utilization efficiency; and spectral distribution, which shows the energy distribution of light at different wavelengths. Optionally, the monitoring of the luminous performance parameters corresponding to the RGB LED can be achieved by a spectrometer, such as: decomposing light into spectral components of different wavelengths, and measuring the light intensity at each wavelength, so as to determine its luminous intensity and proportion in different color bands, and then obtain the luminous performance parameters.

[0121] Furthermore, the present invention helps to accurately locate the core indicators of the RGB LED luminous characteristics by extracting the key luminous values ​​in the luminous performance parameters, providing an intuitive and efficient basis for evaluating its working status, and then providing key data support for optimizing the driving current, improving the lighting effect or color presentation quality, and ensuring that the equipment operates under ideal luminous performance.

[0122] Among them, the key luminous value refers to the core quantitative index in the RGB LED luminous performance parameters that plays a decisive role in its overall luminous performance and function realization, mainly including the brightness value, which directly determines the intensity of light perceived by the naked eye and is a key factor in measuring the lighting effect; the main wavelength value accurately defines the main position of the emitted light in the spectrum and clarifies the basic color attributes of the light, which is extremely important for achieving accurate color display. Optionally, the extraction of the key luminous value in the luminous performance parameters can be achieved through parameter extraction tools, such as: DIALux, EL tester and other tools.

[0123] Furthermore, the present invention can accurately determine whether the RGB LED's luminous state deviates from the ideal expectation by calculating the brightness deviation value between the key luminous value and the preset standard value, so as to timely discover luminous abnormalities caused by temperature changes, component aging or other factors. By analyzing the deviation value, the driving current can be adjusted or other correction measures can be taken to ensure that the RGB LED always stably outputs the required brightness and maintains the consistency of the overall visual effect and performance of the device.

[0124] The brightness deviation value refers to a quantitative indicator used to measure the difference between a key luminous value and a preset standard luminous value. This value reflects the degree of deviation between the actual luminous condition and the standard luminous condition.

[0125] As an embodiment of the present invention, the calculating of the brightness deviation value between the key luminous value and the preset standard value includes:

[0126] The brightness deviation between the key luminous value and the preset standard value is calculated using the following formula:

[0127]

[0128] Among them, BD represents the brightness deviation value between the key luminous value and the preset standard value, T' represents the total brightness monitoring time, L0 represents the preset standard luminous value, L1 represents the key luminous value, and dt represents a small increment of time.

[0129] In detail, the total duration of light monitoring refers to the entire time period for monitoring the light emission. For example, if the light emission performance of an RGB LED is monitored, the time from the start of monitoring to the end of monitoring is the total duration of light monitoring. The preset standard light emission value refers to an ideal light emission value set in advance. It is determined according to specific application requirements, industry standards or design requirements. For example, in a certain lighting device, according to the design requirements, the light emission parameter values ​​such as brightness and color coordinates that the RGB LED should achieve under specific conditions are specified. The key light emission value refers to the important values ​​of the light emission performance parameters actually measured. These values ​​are crucial for evaluating the actual working state of the light emitting device, and may include parameter values ​​such as brightness, dominant wavelength, color rendering index, and luminous flux. The small increment refers to a time interval used when integrating time. The small increment means dividing the total duration into countless extremely small time periods, and calculating the changes in the light emission values ​​in each extremely small time period, and accumulating them to obtain the comprehensive results within the entire monitoring duration.

[0130] S5. Analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factor in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factor, collect compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

[0131] By analyzing the deviation inducement corresponding to the brightness deviation value, the present invention can accurately locate the cause of the non-compliance of the luminous performance with the standard, which helps to quickly take targeted solutions, helps to optimize the production process, improve the links that may cause deviations in the manufacturing process, improve product quality, and assist in equipment maintenance, extend the service life of the equipment, and ensure stable operation of the equipment.

[0132] The deviation cause refers to the fundamental reason for the brightness deviation value obtained by analyzing factors such as mutual influencing items. For example, the deviation cause may be that the measurement environment temperature is too high and the measuring equipment is not calibrated regularly, resulting in a deviation between the measured brightness value and the actual value.

[0133] As an embodiment of the present invention, the analysis of the deviation cause corresponding to the brightness deviation value includes: analyzing the measurement environment and the measurement equipment corresponding to the brightness deviation value; constructing an inducement analysis framework corresponding to the measurement environment and the measurement equipment; based on the inducement analysis framework, querying the variable part in the brightness deviation value measurement; removing the interference information in the variable part to obtain the core variable factor; querying the mutual influence item corresponding to the core variable factor; based on the mutual influence item, performing inducement analysis on the brightness deviation value to obtain the deviation cause.

[0134] Among them, the measurement environment refers to the surrounding physical conditions when measuring the brightness value, including but not limited to the ambient temperature, because the temperature will affect the performance of the light-emitting device (such as RGB LED), and thus affect the brightness value; the measuring device refers to an instrument or tool used to obtain the brightness value, for example, a light sensor (such as a photodiode, a photomultiplier tube) is used to convert an optical signal into an electrical signal, thereby realizing the measurement of the brightness intensity; a spectrometer can measure the spectral distribution of light, and then determine the color and other related parameters of the light; the cause analysis framework refers to a logical structure for systematically analyzing the causes of the brightness deviation value, for example, the framework may include an analysis method for how the measurement environment temperature affects the performance of the light-emitting device, and an evaluation rule for the influence of the accuracy of the measuring device on the brightness measurement result; the variable element part refers to those that may change during the measurement of the brightness deviation value. The factors that may affect the measurement results, such as temperature fluctuations in the measurement environment, calibration deviations of the measuring equipment, or changes in operating methods during the measurement process, all belong to the variable element part; the core variable factors refer to the key factors that have a substantial impact on the brightness deviation value that are screened out from the variable element part. For example, after analysis, it is found that the aging of the measuring equipment leads to a decrease in its measurement accuracy. This equipment aging factor is the core variable factor; the mutual influence items refer to the relationship between the core variable factors. For example, the increase in the temperature of the measurement environment will accelerate the aging of certain electronic components in the measuring equipment, thereby further affecting the measurement accuracy of the measuring equipment. Here, temperature and equipment aging are mutual influence items.

[0135] Furthermore, the construction of the inducement analysis framework corresponding to the measurement environment and the measurement device can be implemented through a framework construction tool, such as: Webpack, Babel, ESLint and other tools; the query of the variable element part in the brightness deviation value measurement can be implemented through a statistical analysis tool, such as: Excel, SPSS and other tools; the removal of interference information in the variable element part can be implemented through a filtering algorithm, such as: mean filtering, median filtering, Kalman filtering and other algorithms; the query of the mutual influence items corresponding to the core variable factors can be implemented through a data mining tool, such as: Pandas, Numpy and other tools; the inducement analysis of the brightness deviation value can be implemented through a statistical analysis method, such as: correlation analysis, regression analysis and other methods.

[0136] The present invention helps to accurately locate the root cause of the problem by identifying the core influencing factors in the deviation inducement, making the response measures more targeted and avoiding blind investigation and waste of resources. It can improve the efficiency of solving the brightness deviation problem, accelerate the recovery of the equipment or system to a normal state, and reduce the adverse consequences caused by the deviation, such as product quality decline or production interruption.

[0137] Among them, the core influencing factors refer to those factors that play a key and decisive role in the deviation results, have a dominant influence, and are most closely and directly related to the brightness deviation values ​​among the many deviation inducements that lead to the appearance of brightness deviation values. Optionally, the identification of the core influencing factors among the deviation inducements can be achieved through grey correlation analysis, such as: when studying the relationship between various possible deviation inducements such as changes in light intensity, aging of measuring equipment, power supply voltage fluctuations, etc. and brightness deviation values, the core influencing factors are obtained.

[0138] Furthermore, the present invention plans the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collects the compensation process data of the temperature compensation strategy during execution, and can accurately design the compensation strategy according to key points, effectively offset the adverse effects of temperature on the luminous performance of the RGB LED, and ensure the stability and accuracy of color and brightness. By collecting the compensation process data, the effectiveness of the strategy can be monitored in real time and deeply evaluated, providing a detailed basis for the optimization and improvement of subsequent strategies.

[0139] The temperature compensation strategy refers to a series of adjustment measures and methods formulated for the fluctuation of luminous performance of RGB LED in the target device caused by temperature change. For example, when it is detected that the temperature rise causes the LED brightness to decrease, the strategy will increase the driving current to maintain a constant brightness output; or when the temperature change affects the color accuracy, the current ratio of different color channels (red, green, and blue) is adjusted to ensure that the color always meets the expected standard; the compensation process data refers to various types of information generated and collected in the process of implementing the temperature compensation strategy, including but not limited to the actual temperature values ​​at different times, which is the basic data for judging the degree of temperature change and triggering compensation actions; the current and voltage parameter changes of each RGB LED channel before and after compensation are used to understand the adjustment of the electrical parameters by the strategy; and the actual luminous performance data of the RGB LED after compensation, such as brightness value, color coordinate value, etc. Optionally, the planning of the temperature compensation strategy corresponding to the RGB LED in the target device can be implemented by a strategy generation tool, such as: MATLAB, LabVIEW and other tools; the acquisition of the compensation process data of the temperature compensation strategy during execution can be implemented by a data acquisition tool, such as: DAQmx, OptisWorks and other tools.

[0140] The present invention generates a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data, can systematically sort out and summarize the implementation of the compensation strategy, clearly present the relationship between temperature change and compensation effect, can understand the operating status of the device, and is helpful to accurately locate problems and deficiencies in the compensation process, and provide a clear direction and strong basis for optimizing the temperature compensation strategy, thereby improving the luminous stability and accuracy of the RGB LED.

[0141] Among them, the temperature compensation report refers to a comprehensive document that records in detail, deeply analyzes and systematically summarizes the entire process of executing the RGB LED temperature compensation strategy in the target device, which covers the summary presentation of compensation process data, such as temperature values ​​at different times, current and voltage adjustments, and changes in LED light-emitting parameters; it includes an evaluation of the temperature compensation effect, an explanation of whether the compensation strategy is effective in maintaining the stability of RGB LED performance, and an analysis of the performance under different working conditions. Optionally, the generation of the temperature compensation report corresponding to the RGB LED in the target device can be achieved through a report generation tool, such as: Tableau, QlikSense and other tools.

[0142] First, the present invention can lay the foundation for constructing an accurate initial Vf characteristic curve by acquiring the initial Vf data corresponding to the RGB LED in the target device, thereby deeply analyzing the changing rules in different temperature ranges, effectively ensuring the accuracy and effectiveness of the entire temperature compensation process, and improving the color accuracy and stability performance of RGB LED in multi-scenario applications. At the same time, the present invention divides the temperature sub-ranges in the initial Vf characteristic curve based on the temperature threshold, which helps to refine the analysis granularity of the RGB LED characteristics, making the research in different temperature segments more targeted, and can more accurately collect the real-time Vf values ​​under different current drives in each sub-range, laying the foundation for constructing a highly accurate Vf-temperature-current three-dimensional data set, thereby improving the quality of the subsequent generated accurate compensation curve, and ensuring that RGB LED can achieve stable and accurate luminous performance regulation in various complex temperature environments. The present invention queries the current operating environment corresponding to the target device based on the accurate compensation curve, which helps to grasp the difference between the environmental conditions of the device and the ideal state in real time, and can adjust the relevant parameters in a targeted manner according to the compensation curve to ensure that the target device, such as RGB Key components such as LEDs maintain stable performance in the current environment, effectively reducing the adverse effects of environmental factors on equipment operation. Based on the drive adjustment current, the present invention monitors the luminous performance parameters corresponding to the RGB LED, and can grasp the brightness, color, etc. of the LED light in real time, ensuring that it presents the expected visual effect under different temperature environments, which helps to timely discover the performance anomalies that may exist in the LED, perform maintenance or adjustments in advance, extend its service life, and ensure the stable and reliable operation of related equipment. Furthermore, by analyzing the deviation inducement corresponding to the brightness deviation value, the present invention can accurately locate the cause of the non-compliance of the luminous performance with the standard, which helps to quickly take targeted solutions, helps to optimize the production process, improve the links that may cause deviations in the manufacturing process, improve product quality, and assist in equipment maintenance, extend the service life of the equipment, and ensure stable operation of the equipment. Therefore, the method and system for realizing temperature compensation based on RGB LED Vf combined with temperature curve proposed by the present invention can improve the performance of RGB LED in various application scenarios.

[0143] Embodiment 2:

[0144] like Figure 2 FIG. 1 is a schematic diagram of a module of a system for implementing temperature compensation based on RGB LED Vf combined with a temperature curve provided by an embodiment of the present invention.

[0145] The system 200 for implementing temperature compensation based on RGB LED Vf combined with temperature curve of the present invention can be installed in an electronic device. According to the functions implemented, the system 200 for implementing temperature compensation based on RGB LED Vf combined with temperature curve can include a threshold determination module 201, a curve generation module 202, a dynamic adjustment module 203, a deviation value calculation module 204 and a report generation module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, which are stored in the memory of the electronic device.

[0146] In this embodiment, the functions of each module / unit are as follows:

[0147] The threshold determination module 201 is used to obtain initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point;

[0148] The curve generating module 202 is used to divide the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold, collect the real-time Vf values ​​of the RGB LED under different current driving in the temperature sub-intervals, construct a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals, perform data fitting on the three-dimensional data set, and generate an accurate compensation curve corresponding to the temperature sub-intervals;

[0149] The dynamic adjustment module 203 is used to query the current operating environment corresponding to the target device based on the precise compensation curve, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current;

[0150] The deviation value calculation module 204 is used to monitor the luminous performance parameters corresponding to the RGB LED based on the driving adjustment current, extract the key luminous value in the luminous performance parameters, and calculate the brightness deviation value between the key luminous value and the preset standard value;

[0151] The report generation module 205 is used to analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factors in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collect the compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

[0152] In detail, the modules described in the system 200 for realizing temperature compensation based on RGB LED Vf combined with a temperature curve described in an embodiment of the present invention adopt the same technical means as the method for realizing temperature compensation based on RGB LED Vf combined with a temperature curve described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0153] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for temperature compensation based on RGB LED Vf combined with temperature curve, characterized in that: The method comprises: Acquire initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point; Based on the temperature threshold, the temperature sub-intervals in the initial Vf characteristic curve are divided, the real-time Vf values ​​of the RGB LED under different current driving in the temperature sub-intervals are collected, a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals is constructed, and data fitting is performed on the three-dimensional data set to generate an accurate compensation curve corresponding to the temperature sub-intervals; Based on the precise compensation curve, query the current operating environment corresponding to the target device, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current; Based on the driving adjustment current, monitoring the luminous performance parameters corresponding to the RGB LED, extracting the key luminous value in the luminous performance parameters, and calculating the brightness deviation value between the key luminous value and the preset standard value; Analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factors in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collect compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

2. A method for temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The constructing an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data includes: Collecting basic electrical specifications corresponding to the initial Vf data; Analyze the component process links corresponding to the basic electrical specifications; Based on the component process, determining the key influencing factors corresponding to the RGB LED; Querying a characteristic data set associated with each factor in the key influencing factors; Extracting the numerical variation rules corresponding to each subset in the characteristic data set; Based on the value variation rule, an initial Vf characteristic curve corresponding to the RGB LED is constructed.

3. A method for temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold comprises: Determine a temperature axis corresponding to the temperature threshold; After mapping the temperature axis to the initial Vf characteristic curve, temperature mapping data is obtained; Analyzing the temperature identification corresponding to the temperature mapping data; Querying the temperature characteristic corresponding to the temperature identifier; Based on the temperature characteristic, the initial Vf characteristic curve is divided into temperature sub-intervals.

4. A method for temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The performing data fitting on the three-dimensional data set to generate a precise compensation curve corresponding to the temperature sub-interval includes: Analyze the temperature distribution dimension corresponding to the data in the three-dimensional data set; Extracting dimensional distribution features corresponding to the temperature distribution dimension; Based on the temperature range characteristics, classify the data in the three-dimensional data set and classify the data into levels; Determine the data summarization rule of the data belonging to the data classification level; Based on the data induction rule, data fitting is performed on the three-dimensional data set to generate an accurate compensation curve corresponding to the temperature sub-interval.

5. The method for realizing temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The querying of the current operating environment corresponding to the target device based on the precise compensation curve includes: Obtaining a real-time temperature feedback value corresponding to the target device; Positioning the real-time temperature feedback value to the precise compensation curve to obtain a curve positioning node; Determine the node adaptation range corresponding to the curve positioning node; Identify the actual operating status corresponding to the target device; Extracting the environment status identifier corresponding to the node in the node adaptation range; Based on the actual operating state and the environment state identifier, a current operating environment corresponding to the target device is queried.

6. A method for temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The calculating, based on the real-time temperature, a temperature compensation coefficient corresponding to the temperature sub-interval includes: The temperature compensation coefficient corresponding to the temperature sub-interval is calculated using the following formula: Wherein, Ks represents the temperature compensation coefficient corresponding to the temperature sub-interval, T eff represents the effective temperature value, δ represents the temperature fluctuation influence coefficient, T represents the real-time temperature, represents the length influence coefficient of the ambient temperature change and the temperature sub-interval, R represents the ambient temperature change rate, ΔT represents the temperature sub-interval length, n represents the number of sampling points, i represents the number index of sampling points, T i represents the i-th sampling temperature value, M represents the temperature measurement error, τ represents the interaction coefficient between the total temperature and temperature fluctuation, and S represents the temperature sampling interval.

7. A method for temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The step of dynamically adjusting the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current includes: Query the coefficient characteristic range corresponding to the temperature compensation coefficient; Based on the coefficient characteristic range, determining a current adjustment mode corresponding to the temperature compensation coefficient; Based on the current adjustment mode, analyzing the adjustable current parameters corresponding to the RGB LED; Formulate a driving current adjustment scheme corresponding to the RGB LED according to the adjustable current parameter; Verify the test effect of the driving current adjustment scheme in a preset test environment; Based on the test result, the driving current of the RGB LED in the target device is dynamically adjusted to obtain the driving adjustment current.

8. The method for realizing temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The calculating of the brightness deviation value between the key luminous value and the preset standard value includes: The brightness deviation between the key luminous value and the preset standard value is calculated using the following formula: Among them, BD represents the brightness deviation value between the key luminous value and the preset standard value, T' represents the total brightness monitoring time, L0 represents the preset standard luminous value, L1 represents the key luminous value, and dt represents a small increment of time.

9. The method for realizing temperature compensation based on RGB LED Vf combined with temperature curve as claimed in claim 1, characterized in that: The analyzing the deviation cause corresponding to the brightness deviation value includes: Analyze the measurement environment and measurement equipment corresponding to the brightness deviation value; Constructing an inducement analysis framework corresponding to the measurement environment and the measurement equipment; Based on the inducement analysis framework, query the variable element part in the brightness deviation value measurement; Removing interference information from the variable element part to obtain core variable factors; Querying the mutual influence items corresponding to the core variable factors; Based on the mutual influence terms, an inducement analysis is performed on the brightness deviation value to obtain the deviation inducement.

10. A system for temperature compensation based on RGB LED Vf combined with temperature curve, characterized in that: A method for implementing temperature compensation based on RGB LED Vf combined with a temperature curve as described in any one of claims 1 to 9, the system comprising: A threshold determination module, used to obtain initial Vf data corresponding to the RGB LED in the target device, construct an initial Vf characteristic curve corresponding to the RGB LED based on the initial Vf data, analyze the change trend of the initial Vf characteristic curve in different temperature ranges, extract the key turning point in the change trend, and determine the temperature threshold corresponding to the key turning point; A curve generating module, for dividing the temperature sub-intervals in the initial Vf characteristic curve based on the temperature threshold, collecting the real-time Vf values ​​of the RGB LED under different current driving in the temperature sub-intervals, constructing a three-dimensional data set corresponding to Vf-temperature-current in the temperature sub-intervals, performing data fitting on the three-dimensional data set, and generating an accurate compensation curve corresponding to the temperature sub-intervals; A dynamic adjustment module, configured to query the current operating environment corresponding to the target device based on the precise compensation curve, collect the real-time temperature in the current operating environment, calculate the temperature compensation coefficient corresponding to the temperature sub-interval based on the real-time temperature, and dynamically adjust the driving current of the RGB LED in the target device according to the temperature compensation coefficient to obtain the driving adjustment current; A deviation value calculation module, used to monitor the luminous performance parameters corresponding to the RGB LED based on the driving adjustment current, extract key luminous values ​​from the luminous performance parameters, and calculate the brightness deviation value between the key luminous value and a preset standard value; The report generation module is used to analyze the deviation cause corresponding to the brightness deviation value, identify the core influencing factors in the deviation cause, plan the temperature compensation strategy corresponding to the RGB LED in the target device based on the core influencing factors, collect compensation process data of the temperature compensation strategy during execution, and generate a temperature compensation report corresponding to the RGB LED in the target device based on the compensation process data.

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