Light adjustment method and device based on human eye vision characteristics, equipment and medium

Abstract

This application provides a lighting adjustment method, device, equipment, and medium based on the characteristics of human visual perception. The method includes: determining a base duty cycle for driving intelligent lighting based on the power-law characteristics of human vision; acquiring the actual ambient light intensity and the actual junction temperature of the luminaire; determining a light compensation coefficient based on the actual ambient light intensity; determining a temperature compensation coefficient based on the actual junction temperature of the luminaire; determining the actual duty cycle for driving intelligent lighting based on the base duty cycle, the light compensation coefficient, and the temperature compensation coefficient; and adjusting the brightness of the intelligent lighting based on the actual duty cycle. This application constructs a nonlinear dimming map based on the power-law characteristics of human vision, achieving a high degree of matching with visual perception; it integrates ambient light and temperature compensation mechanisms to ensure dimming accuracy; and it effectively solves the problems of low brightness flicker, coarse adjustment, and visual mismatch existing in existing PWM dimming, achieving highly refined, flicker-free, and energy-efficient intelligent dimming.

Description

Technical Field

[0001] This application belongs to the field of intelligent lighting control technology, and relates to a lighting adjustment method, device, equipment and medium based on the visual characteristics of the human eye. Background Technology

[0002] Currently, intelligent lighting devices commonly employ Pulse Width Modulation (PWM) technology to achieve brightness adjustment. The core principle of PWM dimming is to control the output power by changing the proportion of the high-level duration in the signal to the entire cycle (i.e., the duty cycle), thereby adjusting the brightness of the light. In existing technologies, most PWM dimming schemes use linear mapping algorithms.

[0003] However, the existing linear dimming algorithms have significant drawbacks and cannot meet users' needs for fine-tuning. Secondly, existing dimming algorithms typically operate in isolation, which not only exacerbates flickering at low brightness and insufficient overall dimming accuracy, affecting user visual comfort, but also leads to unnecessary energy waste. Summary of the Invention

[0004] This application provides a lighting adjustment method, device, equipment, and medium based on the characteristics of human visual perception, which is used to construct a nonlinear dimming model that conforms to the characteristics of human visual perception, and combine ambient light and lamp temperature compensation to achieve flicker-free, highly refined intelligent dimming while also taking into account energy-saving effects.

[0005] In a first aspect, this application provides a lighting adjustment method based on the characteristics of human visual perception. The method includes: determining a base duty cycle for driving intelligent lighting based on the power-law characteristics of human visual perception; acquiring the actual ambient light intensity and the actual junction temperature of the luminaire; determining a light compensation coefficient based on the actual ambient light intensity; determining a temperature compensation coefficient based on the actual junction temperature of the luminaire; determining an actual duty cycle for driving intelligent lighting based on the base duty cycle, the light compensation coefficient, and the temperature compensation coefficient; and adjusting the brightness of intelligent lighting based on the actual duty cycle.

[0006] This application constructs a nonlinear dimming map based on the power-law characteristics of human vision, eliminating the flicker and uneven adjustment issues of traditional linear dimming in the low-brightness region, achieving a high degree of matching with visual perception. Simultaneously, it integrates ambient light and temperature compensation mechanisms to offset luminous efficacy degradation caused by environmental changes and luminaire aging, ensuring dimming accuracy. Furthermore, it dynamically adjusts the duty cycle according to ambient light, reducing redundant energy consumption and improving energy efficiency. This application effectively solves the problems of low-brightness flicker, coarse adjustment, and visual mismatch in existing PWM dimming, achieving highly refined, flicker-free, and energy-efficient intelligent dimming.

[0007] In one implementation of the first aspect, determining the basic duty cycle for driving the smart light based on the power-law characteristics of human vision includes: acquiring a preset target perceived brightness; constructing a nonlinear mapping model corresponding to the target perceived brightness based on the power-law characteristics of human vision, and determining the theoretical target light intensity through the nonlinear mapping model; acquiring the photoelectric conversion coefficient of the lamp; and determining the basic duty cycle based on the theoretical target light intensity and the photoelectric conversion coefficient of the lamp.

[0008] In one implementation of the first aspect, based on the power-law characteristics of human vision, a nonlinear mapping model corresponding to the perceived brightness of the target is constructed, and the expression for determining the theoretical target light intensity through the nonlinear mapping model is as follows:

[0009]

[0010] in, Indicates the perceived brightness of the target. This represents the light intensity sensing calibration coefficient. It represents the human eye's perception of brightness index. This represents the theoretical target light intensity.

[0011] In one implementation of the first aspect, the method further includes dynamically calibrating the light intensity sensing calibration coefficient in real time, wherein the expression for dynamically calibrating the light intensity sensing calibration coefficient in real time is:

[0012]

[0013] in, Indicates the actual brightness of the light. This represents the light intensity sensing calibration coefficient before correction. This represents the corrected light intensity sensing calibration coefficient.

[0014] In one implementation of the first aspect, determining the illumination compensation coefficient based on the actual ambient light intensity includes: determining the standard ambient actual light intensity, the maximum ambient actual light intensity, and the illumination compensation coefficient weight; and calculating the illumination compensation coefficient based on the ambient actual light intensity, the standard ambient actual light intensity, the maximum ambient actual light intensity, and the illumination compensation coefficient weight.

[0015] In one implementation of the first aspect, determining the temperature compensation coefficient based on the actual junction temperature of the luminaire includes: determining the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient; and calculating the temperature compensation coefficient based on the actual junction temperature of the luminaire, the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient.

[0016] In one implementation of the first aspect, the expression for determining the actual duty cycle for driving the smart light based on the base duty cycle, the illumination compensation coefficient, and the temperature compensation coefficient is as follows:

[0017]

[0018] in, Indicates the basic duty cycle. Indicates the illumination compensation coefficient. Indicates the temperature compensation coefficient. This indicates the actual duty cycle.

[0019] Secondly, this application provides a lighting adjustment device based on the characteristics of human vision. The device includes: a basic duty cycle determination module, used to determine a basic duty cycle for driving intelligent lights based on the power law characteristics of human vision; an actual lighting data acquisition module, used to acquire the actual ambient light intensity and the actual junction temperature of the luminaire; a light compensation coefficient determination module, used to determine a light compensation coefficient based on the actual ambient light intensity; a temperature compensation coefficient determination module, used to determine a temperature compensation coefficient based on the actual junction temperature of the luminaire; and a brightness adjustment module, used to determine the actual duty cycle for driving intelligent lights based on the basic duty cycle, the light compensation coefficient, and the temperature compensation coefficient, and to adjust the brightness of the intelligent lights based on the actual duty cycle.

[0020] Thirdly, embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the lighting adjustment method based on human visual characteristics as described in any one of the first aspects of this application.

[0021] Fourthly, embodiments of this application provide an electronic device, the electronic device comprising: a memory storing a computer program; and a processor communicatively connected to the memory, which, when the computer program is invoked, executes the light adjustment method based on human visual characteristics as described in any one of the first aspects of this application.

[0022] As described above, the lighting adjustment method, apparatus, device, and medium based on the visual characteristics of the human eye described in this application have the following beneficial effects:

[0023] 1) High-precision dimming based on human vision, ambient light, and temperature compensation mechanisms

[0024] This application constructs a nonlinear dimming mapping based on the power law of human vision, with a dimming step size as low as 0.01%. When adjusting the duty cycle from 1.00% to 1.01%, the human eye does not perceive any change in brightness, thus solving the problems of low-brightness flicker and visual mismatch. It integrates ambient light and temperature compensation mechanisms to offset light efficiency attenuation and improve dimming accuracy. Furthermore, it dynamically adjusts the duty cycle according to ambient light to reduce redundant energy consumption and improve energy saving rate by 20%~30%, achieving flicker-free, highly detailed, and energy-efficient intelligent dimming.

[0025] 2) This application possesses high-precision and high-stability dimming performance.

[0026] In terms of control precision, the duty cycle adjustment precision reaches ±0.01%, corresponding to a physical light intensity control precision of ±0.1 lx. Regarding long-term stability, the precision decay rate after 1000 hours of continuous operation is ≤±0.02%. These indicators are significantly superior to industry standards (conventional duty cycle precision ±0.1%, light intensity precision ±1 lx, and decay of ±0.3% after 1000 hours). In terms of dimming step control, this application adopts an adaptive stepping strategy based on the characteristics of human visual perception: addressing the issue of flicker and abrupt changes in adjustment easily induced in the 0~10% low brightness range, it achieves continuous stepless adjustment from 0.01% to 10.00% to accurately adapt to the low-light perception needs of the human eye; for the 10%~100% high brightness range, a dynamic step size mechanism is adopted, with the step size smoothly transitioning from 0.01% in the low brightness range to 0.1% as brightness increases, thus ensuring the fineness of adjustment in the low brightness range while also considering the adjustment efficiency in the high brightness range.

[0027] 3) Multi-dimensional indicators work together to ensure high comfort characteristics

[0028] The steady-state VCI output of the dimming system in this application is between 85 and 95, maintaining a high comfort level; while the VCI of traditional linear dimming is only 55 to 70, and even lower than 50 (uncomfortable level) in the low-illuminance range. The high comfort characteristics of this application are ensured by the following four multi-dimensional indicators: First, flicker-free characteristics, with a flicker frequency ≥1kHz and no visible flicker effect, conforming to the IEC 61547 standard; second, high brightness uniformity, with brightness deviation controlled within ±3%; third, no glare interference, with a glare value UGR ≤19; and fourth, a smooth brightness change rate, with a dynamic change rate ≤0.5lx / s, effectively avoiding eye fatigue.

[0029] 4) Precise brightness reproduction and stable closed-loop control based on optoelectronic decoupling

[0030] This application introduces the photoelectric conversion coefficient of the luminaire to accurately convert the "theoretical target light intensity" obtained from visual perception mapping into the "base duty cycle" of the driving layer, thus effectively decoupling the dimming algorithm from the luminaire hardware characteristics. This mechanism eliminates the phenomenon of "different brightness with the same duty cycle" caused by differences in LED luminous efficacy and driving losses, ensuring the accurate reproduction of the target light intensity. The base duty cycle obtained through the two-level mapping of "perception-light intensity-duty cycle" serves as an initial reference value independent of dynamic interferences such as ambient light and temperature. It provides an accurate and stable calculation basis for subsequent dynamic adjustment algorithms such as temperature compensation and ambient light compensation, thereby ensuring the closed-loop control accuracy of the intelligent dimming system.

[0031] 5) Highly stable and smooth illumination compensation control without jumps

[0032] This application effectively defines a reasonable range for illumination compensation by introducing a "standard ambient light intensity" as the zero-compensation benchmark and a "maximum ambient light intensity" as the upper limit threshold for extreme operating conditions. This mechanism suppresses the risk of the compensation coefficient diverging or returning to zero under extreme ambient light conditions, avoids system instability and resource redundancy, and ensures the baseline stability of the dimming system. At the same time, by introducing a weighted illumination compensation coefficient, the system is given the ability to dampen and suppress ambient light fluctuations, filtering out sudden changes in duty cycle caused by weak ambient light disturbances, eliminating the resulting light flickering phenomenon, achieving a smooth transition in illumination compensation, and further improving visual comfort.

[0033] 6) Stable and smooth compensation based on interval definition and damping adjustment

[0034] This application effectively defines the reasonable range of illumination compensation by introducing "standard ambient actual light intensity" as the benchmark for zero compensation and "maximum ambient actual light intensity" as the upper limit reference for extreme environments. This avoids system malfunction or resource waste caused by the compensation coefficient being infinitely amplified or approaching zero under extreme ambient light conditions, ensuring the stability of the dimming system. By introducing a weighted illumination compensation coefficient, the system is given damping adjustment capability to changes in ambient light, avoiding light flicker caused by drastic changes in duty cycle due to small fluctuations in ambient light, ensuring the smoothness and gentleness of the illumination compensation process, and further improving visual comfort. Attached Figure Description

[0035] Figure 1A The diagram shows an application scenario corresponding to the lighting adjustment method based on the visual characteristics of the human eye provided in the embodiments of this application.

[0036] Figure 1B The flowchart shown is a light adjustment method based on human visual characteristics provided in an embodiment of this application.

[0037] Figure 2The flowchart shown is for determining the basic duty cycle for driving smart lights, as provided in an embodiment of this application.

[0038] Figure 3 The flowchart shown is a process for determining the illumination compensation coefficient based on the actual illumination intensity of the environment, as provided in an embodiment of this application.

[0039] Figure 4 The flowchart shown is a process for determining the temperature compensation coefficient based on the actual junction temperature of the lamp, as provided in an embodiment of this application.

[0040] Figure 5 The diagram shown is a structural diagram of a lighting adjustment device based on human visual characteristics provided in an embodiment of this application.

[0041] Figure 6 The diagram shown is a structural diagram of an electronic device provided in an embodiment of this application.

[0042] Component designation explanation

[0043] S11~S15 step 54 Temperature compensation coefficient determination module S21~S22 step 55 Brightness adjustment module S31~S32 step 60 electronic devices S41~S42 step 61 processor 50 Lighting adjustment device based on the characteristics of human vision 62 Non-volatile storage media 51 Basic duty cycle determination module 63 System bus 52 Actual lighting data acquisition module 64 Internal memory 53 Illumination compensation coefficient determination module 65 Network interface Detailed Implementation

[0044] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0045] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0046] like Figure 1AAs shown in the diagram, this embodiment provides a hardware application scenario diagram corresponding to a lighting adjustment method based on human visual characteristics, specifically including: a data acquisition sensor module, a data processing center, and a smart lighting terminal. The data acquisition sensor module includes a light sensor, a temperature sensor, a brightness sensor, and a user interaction module. The light sensor is used to collect the actual ambient light intensity, the temperature sensor is used to collect the actual junction temperature of the luminaire, the brightness sensor is used to collect the actual brightness of the light, and the user interaction module is used to receive the target perceived brightness set by the user. The data processing center is used to receive the various data sent by the data acquisition sensor module, calculate the actual duty cycle in real time, and send the actual duty cycle to the smart lighting terminal so that the smart lighting terminal can adjust the brightness of the smart light based on the actual duty cycle.

[0047] The technical solutions in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0048] like Figure 1B As shown, this application provides a flowchart of a lighting adjustment method based on the characteristics of human vision. Figure 1B As shown, the light adjustment method based on human visual characteristics provided in this application includes the following steps S11 to S15.

[0049] S11, based on the power-law characteristics of human vision, determines the basic duty cycle used to drive the smart lights.

[0050] S12, obtain the actual ambient light intensity and the actual junction temperature of the luminaire.

[0051] For example, an ambient light intensity is collected using a light sensor, and the junction temperature of the luminaire is collected using a temperature sensor.

[0052] S13, determine the illumination compensation coefficient based on the actual illumination intensity of the environment.

[0053] S14, determine the temperature compensation coefficient based on the actual junction temperature of the lamp.

[0054] S15, determine the actual duty cycle for driving the smart light based on the base duty cycle, the illumination compensation coefficient and the temperature compensation coefficient, and adjust the brightness of the smart light based on the actual duty cycle.

[0055] In some embodiments, the expression for determining the actual duty cycle for driving the smart light based on the base duty cycle, the illumination compensation coefficient, and the temperature compensation coefficient is as follows:

[0056]

[0057] in, Indicates the basic duty cycle. Indicates the illumination compensation coefficient. Indicates the temperature compensation coefficient. This indicates the actual duty cycle.

[0058] For example, the actual duty cycle is output to the LED driver module that drives the smart lights to achieve brightness adjustment of the smart lights.

[0059] It should be noted that dimming fineness is measured by dimming step size as the core unit, with the unit being duty cycle percentage (%), and the auxiliary measurement indicator being the "threshold of brightness change that the human eye can perceive" (unit: lx).

[0060] In the lighting adjustment method based on human visual characteristics provided in this application embodiment, the dimming step size can be as low as 0.01%, which improves the fineness by 10 to 50 times compared with traditional linear dimming (conventional step size 0.1%~0.5%). The threshold for brightness change that the human eye can perceive is controlled within 0.5 lx, while the threshold for traditional linear dimming is 3~5 lx. That is, when the dimming changes in this application, the human eye cannot perceive a significant step, achieving "seamless and smooth dimming". Specifically, when traditional linear dimming adjusts from 1% duty cycle to 2% duty cycle, the human eye can clearly perceive a sudden change in brightness; when adjusting from 1.00% to 1.01% duty cycle in this application, the human eye cannot perceive any brightness change. Only when the cumulative adjustment step size reaches 0.1% (i.e., 10 0.01% steps) can a slight brightness change be perceived, completely eliminating the sense of abrupt change.

[0061] This application achieves a dimming accuracy of ±0.01% duty cycle, corresponding to a physical light intensity accuracy of ±0.1 lx. After long-term use (1000 hours of continuous operation), the accuracy decay does not exceed ±0.02%, far exceeding the industry standard (conventional dimming accuracy is ±0.1% duty cycle, corresponding to a light intensity accuracy of ±1 lx, and the accuracy decays to ±0.3% after 1000 hours). Specifically, the granularity is as follows: in the 0~10% low brightness range (the range most prone to flicker and coarse adjustment), continuous adjustment from 0.01% to 10.00% can be achieved, with each adjustment precisely matching the human eye's perception needs; in the 10%~100% high brightness range, the step size can be dynamically adjusted according to the characteristics of human eye perception, with a step size of 0.01% in the low brightness range and gradually increasing to 0.1% in the high brightness range, ensuring both finesse and adjustment efficiency.

[0062] This application improves energy efficiency by 20% to 30%. Taking a standard 10W LED smart light as an example, and comparing it with other lights in different environments, the following explanation is provided:

[0063] ① Nighttime environment (I_env=50lx, close to darkness): When the traditional linear dimming setting is 20% of the perceived brightness, the duty cycle is fixed at 20%, and the actual power consumption is 2W; this application, through nonlinear mapping + environmental compensation, requires only 1.92% duty cycle and has an actual power consumption of 0.192W, reducing energy consumption by 90.4% (far exceeding the average energy saving rate, because redundant energy consumption is the highest at night).

[0064] ② Indoor normal lighting (I_env=500lx, standard comfortable lighting): When the traditional linear dimming perceives 50% brightness, the duty cycle is 50% and the power consumption is 5W; after compensation, the duty cycle of this application is 12.5% ​​and the power consumption is 1.25W, reducing energy consumption by 75%.

[0065] ③ Strong daylight environment (I_env=5000lx, window lighting): When the traditional linear dimming senses 30% brightness, the duty cycle is 30% and the power consumption is 3W; after environmental compensation, this application only requires a duty cycle of 5.8% and a power consumption of 0.58W, reducing energy consumption by 80.7%.

[0066] ④ Long-term comprehensive operating conditions (indoor mixed lighting, 8 hours of operation per day, 30 days per month): Traditional linear dimming consumes 2.4 kWh per month, while this application consumes 1.7 kWh per month, resulting in an energy saving rate of 29.2%, which meets the energy saving range of 20%~30%.

[0067] like Figure 2 As shown, this application embodiment provides a flowchart for determining the basic duty cycle used to drive smart lights, as follows: Figure 2 As shown, the method for determining the basic duty cycle for driving smart lights provided in this application embodiment includes the following steps S21 to S24.

[0068] S21, Obtain the preset target perceived brightness.

[0069] For example, the user-preset target perceived brightness can be obtained through the user interaction module.

[0070] S22, Based on the power-law characteristics of human vision, a nonlinear mapping model corresponding to the perceived brightness of the target is constructed, and the theoretical target light intensity is determined through the nonlinear mapping model.

[0071] In some embodiments, the nonlinear mapping model corresponding to the perceived brightness of the target is constructed based on the power-law characteristics of human vision, and the expression for determining the theoretical target light intensity through the nonlinear mapping model is as follows:

[0072]

[0073] in, Indicates the perceived brightness of the target. This represents the light intensity sensing calibration coefficient. It represents the human eye's perception of brightness index. This represents the theoretical target light intensity.

[0074] For example, the perceived brightness of the target can be normalized to 0~1, which is obtained by converting the brightness percentage from 0~100% set by the user.

[0075] For example, the light intensity sensing calibration coefficient ranges from 0.9 to 1.1, is fixed after pre-calibration, and can be corrected in the dynamic calibration process.

[0076] For example, the human eye brightness perception index ranges from 0.33 to 0.5, with a default of 0.4.

[0077] For example, the light intensity perception calibration coefficient, with a value range of 0.9 to 1.1, is calibrated according to the type of lamp. Its core function is to correct the impact of differences in lamp luminous efficacy on human eye perception.

[0078] In some embodiments, the method further includes dynamically calibrating the light intensity sensing calibration coefficient in real time, wherein the expression for dynamically calibrating the light intensity sensing calibration coefficient in real time is:

[0079]

[0080] in, Indicates the actual brightness of the light. This represents the light intensity sensing calibration coefficient before correction. This represents the corrected light intensity sensing calibration coefficient.

[0081] For example, After correction, it meets the value range of 0.9 to 1.1, and automatically clamps when it exceeds the range.

[0082] For example, It can be collected by a brightness sensor, unit: lx.

[0083] S23, obtain the photoelectric conversion coefficient of the lamp.

[0084] Specifically, the photoelectric conversion coefficient η of the lamp is determined by all the core hardware parameters on the lamp's photoelectric link.

[0085] S24. Determine the basic duty cycle based on the theoretical target light intensity and the photoelectric conversion coefficient of the lamp.

[0086] For example, the expression for determining the basic duty cycle based on the theoretical target light intensity and the photoelectric conversion coefficient of the luminaire is as follows:

[0087]

[0088] in, Indicates the basic duty cycle. This represents the photoelectric conversion coefficient of the lamp.

[0089] It should be noted that this application uses the "Visual Comfort Index (VCI)" as the core measurement indicator. Referring to GB / T50033-2013 "Standard for Daylighting Design of Buildings" and relevant CIE (International Commission on Illumination) standards, the VCI value ranges from 0 to 100, with 80 points and above being "high comfort", 60 to 79 points being "moderate comfort", and below 60 points being "uncomfortable".

[0090] When dimming, the VCI of this application is stable between 85 and 95 points, which is a high level of comfort; the VCI of traditional linear dimming is only 55 to 70 points, and even below 50 points in the low brightness area (uncomfortable).

[0091] The specific measurement dimensions include: no flicker (flicker frequency ≥ 1kHz, no visible flicker, in compliance with IEC 61547 standard), brightness uniformity (brightness deviation ≤ ±3%), no glare (glare value UGR ≤ 19), and brightness change rate (≤ 0.5lx / s, to avoid eye fatigue). All four indicators meet the requirements for high comfort.

[0092] This application introduces the photoelectric conversion coefficient of the luminaire to accurately convert the "theoretical target light intensity" obtained from visual perception mapping into the "base duty cycle" of the driving layer, thus effectively decoupling the dimming algorithm from the luminaire hardware characteristics. This mechanism eliminates the phenomenon of "different brightness with the same duty cycle" caused by differences in LED luminous efficacy and driving losses, ensuring the accurate reproduction of the target light intensity. The base duty cycle obtained through the two-level mapping of "perception-light intensity-duty cycle" serves as an initial reference value independent of dynamic interferences such as ambient light and temperature. It provides an accurate and stable calculation basis for subsequent dynamic adjustment algorithms such as temperature compensation and ambient light compensation, thereby ensuring the closed-loop control accuracy of the intelligent dimming system.

[0093] like Figure 3 As shown, this application embodiment provides a flowchart for determining the illumination compensation coefficient based on the actual illumination intensity of the environment, as follows: Figure 3 As shown, the method for determining the illumination compensation coefficient based on the actual illumination intensity of the environment provided in this application embodiment includes the following steps S31 to S32.

[0094] S31, determine the actual light intensity of the standard environment, the actual light intensity of the maximum environment, and the weight of the light compensation coefficient.

[0095] For example, by referring to national / industry standards (such as the "Standard for Lighting Design of Buildings" GB 50034), the standard ambient light intensity for general indoor activity areas is 300 lx, and the standard ambient light intensity for reading areas is 500 lx.

[0096] For example, learning can be achieved through user interaction or historical behavior (e.g., if a user is active at 300 lx for a long time, then 300 lx can be labeled as the actual light intensity of the standard environment).

[0097] For example, the maximum ambient actual illuminance refers to the upper limit threshold of ambient illuminance, reflecting the "extreme value" of illuminance in the current space (such as the maximum input of natural light or the highest illuminance that the device can detect).

[0098] For example, the environment can be continuously monitored by a light sensor to record historical maximum values ​​(such as natural light entering the room through a window at midday on a sunny day, or light when the device is running at full capacity).

[0099] For example, the illumination compensation coefficient weight is used to quantify the priority or intensity of illumination compensation, reflecting the system's response to the "deviation between target illumination and actual illumination".

[0100] For example, user behavior can be analyzed using machine learning models (e.g., if a user frequently adjusts the illuminance, it indicates sensitivity to light, and the weight is increased; if a user does not adjust it for a long time, it indicates stable preferences, and the weight is decreased).

[0101] For example, the maximum ambient actual light intensity is 10000 lx by default, corresponding to outdoor light on a sunny day. The standard ambient light intensity is 500 lx by default, corresponding to comfortable indoor light during daily use. The light compensation coefficient weight ranges from 0.2 to 0.4, with a default of 0.3.

[0102] S32, calculate the illumination compensation coefficient based on the actual ambient light intensity, the actual standard ambient light intensity, the maximum actual ambient light intensity, and the weight of the illumination compensation coefficient.

[0103] For example, based on the actual ambient light intensity, the actual standard ambient light intensity, the actual maximum ambient light intensity, and the weight of the light compensation coefficient, the expression corresponding to the light compensation coefficient is obtained as follows:

[0104]

[0105] in, Indicates the actual ambient light intensity. This represents the actual light intensity in a standard environment. This represents the maximum actual ambient light intensity. Indicates the weight of the illumination compensation coefficient. This represents the illumination compensation coefficient.

[0106] This application provides a method for determining the illumination compensation coefficient based on the actual ambient light intensity. This method breaks through the static limitation of traditional closed-loop dimming that relies solely on set values. When the ambient light is too strong, the output compensation is automatically increased to prevent the lamps from appearing dim; when the ambient light is too weak, the output compensation is automatically reduced to prevent the light from being too glaring. Thus, the brightness perceived by the human eye can be kept constant and comfortable under different ambient light conditions, significantly improving the actual accuracy of dimming.

[0107] This application effectively defines a reasonable range for illumination compensation by introducing a "standard ambient light intensity" as the zero-compensation benchmark and a "maximum ambient light intensity" as the upper limit threshold for extreme operating conditions. This mechanism suppresses the risk of the compensation coefficient diverging or returning to zero under extreme ambient light conditions, avoids system instability and resource redundancy, and ensures the baseline stability of the dimming system. At the same time, by introducing a weighted illumination compensation coefficient, the system is given the ability to dampen and suppress ambient light fluctuations, filtering out sudden changes in duty cycle caused by weak ambient light disturbances, eliminating the resulting light flickering phenomenon, achieving a smooth transition in illumination compensation, and further improving visual comfort.

[0108] like Figure 4 As shown, this application embodiment provides a flowchart for determining the temperature compensation coefficient based on the actual junction temperature of the lamp, as follows: Figure 4 As shown, the method for determining the temperature compensation coefficient based on the actual junction temperature of the lamp provided in this application includes the following steps S41 to S42.

[0109] S41, determine the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient.

[0110] For example, the standard junction temperature of the luminaire is 25℃ by default, corresponding to the optimal photoelectric conversion efficiency. The maximum allowable junction temperature of the luminaire is 85℃ by default, determined according to the LED specifications. The temperature compensation coefficient weight ranges from 0.3 to 0.5, with a default of 0.4.

[0111] S42, the temperature compensation coefficient is calculated based on the actual junction temperature of the lamp, the standard junction temperature of the lamp, the maximum allowable junction temperature of the lamp, and the weight of the temperature compensation coefficient.

[0112] For example, based on the actual junction temperature of the luminaire, the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient, the expression corresponding to the temperature compensation coefficient is obtained as follows:

[0113] in, This indicates the actual junction temperature of the lighting fixture. Indicates the standard junction temperature of the luminaire. Indicates the maximum allowable junction temperature of the luminaire. Indicates the standard junction temperature of the luminaire. Indicates the weight of the temperature compensation coefficient. This represents the temperature compensation coefficient.

[0114] This application provides a method for determining a temperature compensation coefficient based on the actual junction temperature of the lamp. In this method...

[0115] Addressing the physical characteristic of LED light sources where photoelectric conversion efficiency decreases due to increased junction temperature, this system precisely compensates for brightness loss caused by temperature rise by calculating a temperature compensation coefficient in real time and correspondingly increasing the duty cycle. This ensures that the actual output luminous flux of the luminaire at different operating temperatures remains consistent with the target perceived brightness, avoiding significant dimming of the luminaire under long-term operation or high-temperature environments. By introducing the luminaire's standard junction temperature as a zero-compensation benchmark, the system ensures that the luminaire operates within its optimal efficiency range without unnecessary interference. Simultaneously, the system introduces the "maximum allowable junction temperature of the luminaire" as an upper limit reference for extreme operating conditions. This not only defines the effective calculation range of the compensation algorithm, preventing drive overload risks due to overcompensation at excessive temperatures, but also implicitly serves as a warning threshold for triggering over-temperature protection, improving system safety. Furthermore, by introducing a temperature compensation coefficient weight, the system provides flexible damping control over the compensation amount caused by temperature rise. This avoids light flicker caused by drastic duty cycle jumps due to minor junction temperature fluctuations or sensor noise, ensuring a smooth and gentle temperature compensation process and further guaranteeing visual comfort under highly refined dimming.

[0116] This embodiment also provides an exemplary description of a light adjustment method based on the characteristics of human visual perception, the specific steps of which are as follows:

[0117] 1. Data Acquisition: The light sensor collects the actual ambient light intensity. =300lx, temperature sensor collects junction temperature of the lamp At 35℃, users can set the target perceived brightness via a mobile app. =20% (normalized to 0.2), photoelectric coefficient: =1 lx / duty cycle; Base duty cycle calculation: set =1.0 (Light intensity perception calibration coefficient, within the range of 0.9~1.1, is the default calibration value for general lighting fixtures, used to correct for differences in the luminous efficacy of the lighting fixtures themselves). =0.4, substitute into the formula

[0118] Calculated =0.0179.

[0119] Compensation coefficient calculation: setting =500lx, =10000lx, =0.3, substitute into the light compensation coefficient formula, =1.006; setting =25℃, =85℃, =0.4, substitute into the temperature compensation coefficient formula, ≈1.067.

[0120] Actual duty cycle output: Substitute into the formula The calculated value is D_actual≈0.0179×1.006×1.067≈0.0192 (i.e. 1.92%). The control module outputs this duty cycle signal to the LED driver module, driving the lamp to emit light with a duty cycle of 1.92%.

[0121] Dynamic calibration: The brightness sensor collects the actual brightness. =0.018lx, theoretical brightness =0.0179lx, ≈0.994, completing one adjustment of the light intensity sensing calibration coefficient.

[0122] The scope of protection for the lighting adjustment method based on human visual characteristics described in this application is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principles of this application is included within the scope of protection of this application.

[0123] This application also provides a lighting adjustment device based on the characteristics of human vision. The lighting adjustment device based on the characteristics of human vision can realize the lighting adjustment method based on the characteristics of human vision described in this application. However, the implementation device of the lighting adjustment method based on the characteristics of human vision described in this application includes, but is not limited to, the structure of the lighting adjustment device based on the characteristics of human vision listed in this embodiment. All structural modifications and substitutions of the prior art made according to the principles of this application are included within the protection scope of this application.

[0124] like Figure 5 As shown, in one embodiment, the lighting adjustment device 50 based on human visual characteristics of this application includes a basic duty cycle determination module 51, an actual lighting data acquisition module 52, an illumination compensation coefficient determination module 53, a temperature compensation coefficient determination module 54, and a brightness adjustment module 55.

[0125] The basic duty cycle determination module 51 is used to determine the basic duty cycle for driving smart lights based on the power law characteristics of human vision.

[0126] The actual lighting data acquisition module 52 is used to acquire the actual ambient light intensity and the actual junction temperature of the luminaire.

[0127] The illumination compensation coefficient determination module 53 is used to determine the illumination compensation coefficient based on the actual illumination intensity of the environment.

[0128] Temperature compensation coefficient determination module 54 is used to determine the temperature compensation coefficient based on the actual junction temperature of the lamp.

[0129] The brightness adjustment module 55 is used to determine the actual duty cycle for driving the smart light based on the base duty cycle, the illumination compensation coefficient and the temperature compensation coefficient, and to adjust the brightness of the smart light based on the actual duty cycle.

[0130] The structure and principle of the basic duty cycle determination module 51, the actual lighting data acquisition module 52, the illumination compensation coefficient determination module 53, the temperature compensation coefficient determination module 54, and the brightness adjustment module 55 correspond one-to-one with the steps in the lighting adjustment method based on the characteristics of human vision, so they will not be described in detail here.

[0131] It should be noted that the lighting adjustment device based on the characteristics of human vision also includes a power module and a communication module.

[0132] For example, the power module provides a stable power supply for the entire device, supports a wide voltage input (100V~240V), and has lightning protection and anti-static functions. The communication module uses ZPLC power line communication technology, eliminating the need for additional wiring and enabling communication between the control module and smart terminals (mobile phones, tablets), supporting remote dimming and parameter calibration.

[0133] It should be noted that the device uses a standard PWM drive interface, which can be adapted to various existing LED smart lights without large-scale hardware modifications, resulting in lower costs. It supports remote control and parameter calibration, allowing users to set target brightness according to their own needs, and the device will automatically complete precise dimming without manual intervention.

[0134] In the embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, or methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of apparatuses or modules or units may be electrical, mechanical, or other forms.

[0135] The modules / units described as separate components may or may not be physically separate. The components shown as modules / units may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected to achieve the objectives of the embodiments of this application, depending on actual needs. For example, the functional modules / units in the various embodiments of this application may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0136] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0137] This application also provides an electronic device. Figure 6 The diagram shown is a structural schematic of an electronic device 60 in one embodiment of this application. The light adjustment method based on human visual characteristics provided in this embodiment can be applied to... Figure 6 The electronic device shown is 60, but it is not limited to this. For example... Figure 6 As shown, the electronic device 60 includes a processor 61, a memory, a system bus 63, and a network interface 65. The memory may include a non-volatile storage medium 62 and internal memory 64.

[0138] The non-volatile storage medium 62 can store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform any of the lighting adjustment methods based on human visual characteristics provided in the embodiments of this application.

[0139] The processor provides computing and control capabilities, supporting the operation of the entire computer device.

[0140] The internal memory 64 provides an environment for the execution of a computer program in a non-volatile storage medium. When the computer program is executed by the processor, it enables the processor to execute any of the lighting adjustment methods based on human visual characteristics provided in the embodiments of this application.

[0141] This network interface 65 is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 6The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0142] It should be understood that processor 61 can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, the general-purpose processor can be a microprocessor or any conventional processor.

[0143] The electronic device 60 in this application embodiment may include terminal devices such as tablet computers, laptop computers, mobile phones, supercomputers, and smart wearable devices. It can also be applied to databases, servers, and service response systems based on terminal artificial intelligence. This application embodiment does not impose any restrictions on the specific type of electronic device.

[0144] For example, electronic devices can be stations (STAION, ST) in WLANs, cellular phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, handheld devices with wireless communication capabilities, computing devices or other processing devices connected to a wireless modem, computers, laptops, handheld communication devices, handheld computing devices, and / or other devices for communicating over wireless systems, as well as next-generation communication systems, such as mobile terminals in 5G networks, mobile terminals in future evolved Public Land Mobile Networks (PLMNs), or mobile terminals in future evolved Non-terrestrial Networks (NTNs).

[0145] This application also provides a computer-readable storage medium. Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0146] This application embodiment may also provide a computer program product comprising one or more computer instructions. When the computer instructions are loaded and executed on a computing device, all or part of the processes or functions described in this application embodiment are generated. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0147] When the computer program product is executed by a computer, the computer performs the method described in the foregoing method embodiments. The computer program product can be a software installation package; when the foregoing method is required, the computer program product can be downloaded and executed on the computer.

[0148] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0149] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for intelligent light adjustment based on the characteristics of human visual perception, characterized in that, The method includes: Based on the power-law characteristics of human vision, the basic duty cycle for driving smart lights is determined. Obtain the actual ambient light intensity and the actual junction temperature of the luminaires; The illumination compensation coefficient is determined based on the actual illumination intensity of the environment. The temperature compensation coefficient is determined based on the actual junction temperature of the lamp. The actual duty cycle for driving the smart light is determined based on the base duty cycle, the illumination compensation coefficient, and the temperature compensation coefficient, and the brightness of the smart light is adjusted based on the actual duty cycle.

2. The method according to claim 1, characterized in that, The determination of the basic duty cycle for driving smart lights based on the power-law characteristics of human vision includes: Obtain the preset target perceived brightness; Based on the power-law characteristics of human vision, a nonlinear mapping model corresponding to the perceived brightness of the target is constructed, and the theoretical target light intensity is determined through the nonlinear mapping model. Obtain the photoelectric conversion coefficient of the lamp; The basic duty cycle is determined based on the theoretical target light intensity and the photoelectric conversion coefficient of the luminaire.

3. The method according to claim 2, characterized in that, Based on the power-law characteristics of human vision, a nonlinear mapping model corresponding to the perceived brightness of the target is constructed. The expression for the theoretical target light intensity is determined by the nonlinear mapping model as follows: in, Indicates the perceived brightness of the target. This represents the light intensity sensing calibration coefficient. It represents the human eye's perception of brightness index. This represents the theoretical target light intensity.

4. The method according to claim 3, characterized in that, The method further includes real-time dynamic calibration of the light intensity sensing calibration coefficient, and the expression for real-time dynamic calibration of the light intensity sensing calibration coefficient is: in, Indicates the actual brightness of the light. This represents the light intensity sensing calibration coefficient before correction. This represents the corrected light intensity sensing calibration coefficient.

5. The method according to claim 1, characterized in that, The determination of the illumination compensation coefficient based on the actual ambient light intensity includes: Determine the actual light intensity of the standard environment, the actual light intensity of the maximum environment, and the weights of the light compensation coefficient; The illumination compensation coefficient is calculated based on the actual ambient light intensity, the actual standard ambient light intensity, the actual maximum ambient light intensity, and the weight of the illumination compensation coefficient.

6. The method according to claim 1, characterized in that, The determination of the temperature compensation coefficient based on the actual junction temperature of the lamp includes: Determine the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient; The temperature compensation coefficient is calculated based on the actual junction temperature of the luminaire, the standard junction temperature of the luminaire, the maximum allowable junction temperature of the luminaire, and the weight of the temperature compensation coefficient.

7. The method according to claim 1, characterized in that, The expression for determining the actual duty cycle used to drive the smart light based on the base duty cycle, the illumination compensation coefficient, and the temperature compensation coefficient is as follows: in, Indicates the basic duty cycle. Indicates the illumination compensation coefficient. Indicates the temperature compensation coefficient. This indicates the actual duty cycle.

8. A light adjustment device based on the characteristics of human visual perception, characterized in that, The device includes: The basic duty cycle determination module is used to determine the basic duty cycle for driving smart lights based on the power law characteristics of human vision. The actual lighting data acquisition module is used to acquire the actual ambient light intensity and the actual junction temperature of the luminaire; The illumination compensation coefficient determination module is used to determine the illumination compensation coefficient based on the actual illumination intensity of the environment. A temperature compensation coefficient determination module is used to determine the temperature compensation coefficient based on the actual junction temperature of the lamp. The brightness adjustment module is used to determine the actual duty cycle for driving the smart light based on the base duty cycle, the illumination compensation coefficient, and the temperature compensation coefficient, and to adjust the brightness of the smart light based on the actual duty cycle.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. An electronic device, characterized in that, The electronic device includes: A memory that stores a computer program; The processor, which is communicatively connected to the memory, executes the method of any one of claims 1 to 7 when the computer program is invoked.

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