Intelligent light environment cooperative control method and system based on multi-parameter feedback

Abstract

The invention belongs to the technical field of light environment control, and provides an intelligent light environment cooperative control method and system based on multi-parameter feedback, and the method comprises the steps: calculating the visual indexes of adjacent regions, judging whether the adjacent regions have visual discomfort or not according to the visual indexes, recognizing the adjacent regions having visual discomfort, and carrying out the calculation of the visual indexes. The method comprises the following steps: acquiring illumination parameters of adjacent areas, calculating an illumination abrupt change amplitude through the illumination parameters of the adjacent areas, identifying abrupt change adjacent areas in the adjacent areas according to the illumination abrupt change amplitude, judging whether visual discomfort is caused by illumination abrupt change or not through correlation analysis, and obtaining a standard illumination abrupt change amplitude in combination with a correlation analysis result. And further determining the width of the buffer zone and the illumination gradual change rule of the buffer zone, and arranging the buffer zone between the adjacent areas with visual discomfort, thereby solving the problems that the illumination strategies of the adjacent areas are independently optimized and the visual coherence of the transition areas is ignored, so that obvious light sudden change occurs when the human eyes are switched in different areas, and visual fatigue or discomfort is caused.

Description

Technical Field

[0001] The present invention belongs to the technical field of light environment control, and specifically relates to an intelligent light environment collaborative control method and system based on multi-parameter feedback. Background Art

[0002] When the prior art conducts light environment control, it may ignore the visual coherence of the transition area due to the independent optimization of the lighting strategy, which may lead to obvious light mutations when the human eye switches between different areas, causing visual fatigue or discomfort. There are many problems in the visual mutation judgment and buffer design modules of the prior art. For example: there is a lack of an effective method to judge whether the human vision has discomfort, and then identify the adjacent areas of visual discomfort; there is no calculation of the lighting mutation amplitude based on the lighting parameters of the adjacent areas, and no identification of the adjacent areas of mutation according to the lighting mutation amplitude, which is caused by the lighting mutation in the adjacent areas; there is no correlation analysis to judge whether the visual discomfort is caused by the lighting mutation, so the standard lighting mutation amplitude cannot be determined. In terms of buffer zone design, there is a lack of an effective method to design the width and lighting gradient rule of the buffer zone according to the standard lighting mutation amplitude, resulting in an unreasonable buffer zone design, and thus unable to solve the problem that the independent optimization of the lighting strategy in adjacent areas ignores the visual coherence of the transition area, leading to obvious light mutations when the human eye switches between different areas, causing visual fatigue or discomfort.

[0003] Therefore, the present invention provides an intelligent light environment collaborative control method and system based on multi-parameter feedback. Summary of the Invention

[0004] In order to make up for the deficiencies of the prior art and solve at least one of the technical problems proposed in the background art.

[0005] The technical solution adopted by the present invention to solve its technical problems is as follows:

[0006] An intelligent light environment collaborative control method based on multi-parameter feedback, including:

[0007] Step 1: Conduct visual analysis on each adjacent area respectively to judge whether there is visual discomfort in the adjacent area. If so, mark the adjacent area as an adjacent area of visual discomfort;

[0008] Step 2: Collect the lighting parameters of the adjacent area, calculate the lighting mutation amplitude, and identify the adjacent area of mutation in the adjacent area according to the lighting mutation amplitude;

[0009] Step 3: Through the correlation analysis of the adjacent area of visual discomfort and the adjacent area of mutation, judge whether the visual discomfort is caused by the lighting mutation;

[0010] Step 4: If the visual discomfort is caused by the lighting mutation, combine the correlation analysis results to determine the standard lighting mutation amplitude;

[0011] Step Five: Determine the width of the buffer zone established in each visually uncomfortable adjacent area according to the standard light mutation amplitude, and formulate the light gradual change rule for the buffer zone.

[0012] Further, the process of determining whether visual discomfort occurs in the adjacent area includes:

[0013] Comprehensively calculate the visual index based on the pupil adjustment time and the retinal light stimulation intensity;

[0014] If the visual index is greater than or equal to the visual index threshold, visual discomfort occurs in the adjacent area; otherwise, it indicates that visual discomfort does not occur in the adjacent area.

[0015] The process of identifying the mutant adjacent area in the adjacent area according to the light mutation amplitude includes:

[0016] Comprehensively calculate the light mutation amplitude of each adjacent area based on the brightness and color temperature;

[0017] If the light mutation amplitude meets the requirements, mark the adjacent area as the mutant adjacent area.

[0018] Further, the process of determining whether the visual discomfort is caused by the light mutation includes:

[0019] Mark the adjacent areas in the visually uncomfortable adjacent areas that are mutant adjacent areas as the overlapping adjacent areas, and calculate the overlapping area ratio;

[0020] Determine whether there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent areas;

[0021] Compare the overlapping area ratio with the threshold. If the overlapping area ratio is greater than the threshold and there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent areas, the visual discomfort is caused by the light mutation.

[0022] Further, the calculation process of the overlapping area ratio includes:

[0023] Based on any visually uncomfortable adjacent area, mark the adjacent areas in the visually uncomfortable adjacent areas that are mutant adjacent areas as the overlapping adjacent areas, and count the number of overlapping adjacent areas;

[0024] Calculate the ratio of the number of overlapping adjacent areas to the number of visually uncomfortable adjacent areas to obtain the overlapping area ratio.

[0025] Further, the process of determining whether there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent areas is:

[0026] For each overlapping adjacent region, calculate the Pearson coefficient between the illumination mutation amplitude and the visual index in the overlapping adjacent region;

[0027] Conduct a t-test on the Pearson coefficients between the illumination mutation amplitude and the visual index in each calculated overlapping adjacent region. If the Pearson coefficient passes the t-test, there is a significant correlation between the illumination mutation amplitude and the visual index in the overlapping adjacent region.

[0028] Further, the process of determining the standard illumination mutation amplitude is as follows:

[0029] Perform linear regression on the illumination mutation amplitude and the visual index of each overlapping adjacent region to obtain a linear regression equation;

[0030] The illumination mutation amplitude obtained by substituting the threshold of the visual index into the linear regression equation is the standard illumination mutation amplitude.

[0031] Further, the process of setting up a buffer zone in the mutation adjacent region is as follows:

[0032] Determine the buffer zone width according to the illumination mutation amplitude at the time of visual comfort;

[0033] Formulate a buffer zone illumination gradual change rule according to the buffer zone width and illumination parameters;

[0034] Divide the buffer zone width into two equal parts and symmetrically set the same values in the adjacent regions of visual discomfort;

[0035] Arrange dimmable and color temperature adjustable tools in the buffer zone, and set the brightness and color temperature of the lamps according to the buffer zone rule.

[0036] Further, the process of determining the buffer zone width is as follows:

[0037] Calculate the brightness buffer zone width according to the linear relationship of the brightness difference between the two sides of the adjacent region of visual discomfort;

[0038] Calculate the color temperature buffer zone width according to the Euclidean distance of the uniform chromaticity coordinates of the color temperature on both sides of the adjacent region of visual discomfort;

[0039] Take the maximum value of the brightness buffer zone width and the color temperature buffer zone width as the final buffer zone width.

[0040] Further, the process of formulating the buffer zone illumination gradual change rule is as follows:

[0041] For brightness, within the buffer zone, from the starting end to the ending end, the brightness changes linearly with the distance;

[0042] For color temperature, after converting the color temperature to uniform chromaticity coordinates, perform linear interpolation calculation within the buffer zone, and then convert it back to the color temperature value. The color temperature difference value and the coordinate difference value have a linear relationship.

[0043] Intelligent optical environment collaborative control system based on multi-parameter feedback, including the following modules:

[0044] Visual discomfort area recognition module: Conduct visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area. If it occurs, mark the adjacent area as a visually uncomfortable adjacent area;

[0045] Lighting mutation area recognition module: Collect the lighting parameters of adjacent areas, calculate the lighting mutation amplitude, and identify the mutation adjacent areas in the adjacent areas according to the lighting mutation amplitude;

[0046] Relevance causal analysis module: Through the relevance analysis of visually uncomfortable adjacent areas and mutation adjacent areas, judge whether visual discomfort is caused by lighting mutation;

[0047] Standard mutation amplitude determination module: If visual discomfort is caused by lighting mutation, combine the relevance analysis results to determine the standard lighting mutation amplitude;

[0048] Buffer zone design and implementation module: Determine the width of the buffer zone established in each visually uncomfortable adjacent area according to the standard lighting mutation amplitude, and formulate the lighting gradual change rule of the buffer zone.

[0049] The beneficial effects of the present invention are as follows: By calculating the visual index of each adjacent area, judging whether visual discomfort occurs in the adjacent area according to the visual index, identifying the visually uncomfortable adjacent areas, calculating the lighting mutation amplitude through the lighting parameters of each adjacent area, identifying the mutation adjacent areas in the adjacent areas according to the lighting mutation amplitude, judging whether visual discomfort is caused by lighting mutation through relevance analysis, and obtaining the standard lighting mutation amplitude in combination with the relevance analysis results, and then determining the buffer zone width and the lighting gradual change rule of the buffer zone, and setting a buffer zone between the visually uncomfortable adjacent areas, which solves the problem that the lighting strategies of adjacent areas are independently optimized while ignoring the visual coherence of the transition area, resulting in obvious light mutation when the human eye switches between different areas, causing visual fatigue or discomfort. Description of the Drawings

[0050] The present invention will be further described below with reference to the drawings.

[0051] Figure 1 is the step flowchart of the intelligent optical environment collaborative control method according to the embodiment of the present invention;

[0052] Figure 2 is the program block diagram of the intelligent optical environment collaborative control system according to the embodiment of the present invention. Specific Embodiments

[0053] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0054] Embodiment 1

[0055] Please refer to Figure 1 As shown, the intelligent optical environment collaborative control method based on multi-parameter feedback described in the embodiment of the present invention includes the following steps:

[0056] Step 1: Perform visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area. If it occurs, mark the adjacent area as a visually uncomfortable adjacent area;

[0057] In Step 1, the process of performing visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area includes:

[0058] Measure the pupil adjustment time t through an eye tracker p , calculate the retinal light stimulation intensity S r , the formula is [[ID=~23]]where L is the luminance, measured using a luminance meter, T is the exposure time, and the exposure time is the duration for which the observer fixes their gaze on the area of sudden light change, directly obtained from the fixation duration recorded by the eye tracker;

[0059] Obtain the pupil adjustment time reference value t p0 and the safe retinal stimulation intensity reference value S r0 , where the pupil adjustment time reference value refers to the average pupil adjustment time of the observer in a uniform lighting environment without visual discomfort, and the safe retinal stimulation intensity reference value refers to the upper limit of the retinal light stimulation intensity that does not cause visual discomfort, determined through population experiments;

[0060] According to the formula calculate the visual index. The physical meaning of the visual index is: through the dual dimensions of pupil adjustment ability and retinal light stimulation, quantitatively evaluate the dynamic load of the lighting environment on the visual system, providing a scientific basis for judging visual comfort and formulating lighting optimization strategies;

[0061] Compare the visual index with the threshold. If the visual index is greater than or equal to the threshold, visual discomfort occurs in the adjacent area. If the visual index is less than the threshold, visual discomfort does not occur in the adjacent area;

[0062] Among them, the setting of the threshold of the visual index includes: conducting experiments on different populations, collecting their visual index data under different lighting conditions, and recording their subjective discomfort conditions, and using statistical methods to analyze the relationship between the visual index and visual discomfort to obtain the threshold of the visual index;

[0063] Mark the adjacent regions with visual discomfort as visually uncomfortable adjacent regions;

[0064] Step 2: Collect the lighting parameters of the adjacent regions, calculate the lighting mutation amplitude, and identify the mutation adjacent regions within the adjacent regions based on the lighting mutation amplitude;

[0065] In Step 2, the lighting parameters include brightness and color temperature, and the collection method is as follows: Use a high-precision illuminance meter and color temperature meter, take 3 measurement points on both sides of the adjacent region boundary, record the brightness and color temperature of each point, and collect data at regular intervals in a mixed natural light and artificial light scenario to cover different time periods of the whole day;

[0066] In Step 2, the calculation process of the lighting mutation amplitude includes:

[0067] Convert the brightness to a standard unit, calculate the absolute difference in brightness of the adjacent region, and obtain the normalized brightness mutation value S through normalization L , the formula is , where is the absolute difference in brightness of the adjacent region, L max is the maximum brightness;

[0068] Convert the color temperature values T1 and T2 to uniform chromaticity coordinates and , calculate the Euclidean distance of the chromaticity coordinate difference , and normalize to obtain the normalized color temperature mutation value S C , , where, is the Euclidean distance of the current chromaticity coordinate difference, is the maximum value of the Euclidean distance of the chromaticity coordinate difference;

[0069] Calculate the lighting mutation amplitude, where the lighting mutation amplitude quantifies the difference degree of the lighting parameters of the adjacent regions, and the formula is , where ω L and ω C are the weights of the brightness mutation value and the color temperature mutation value respectively;

[0070] In Step 2, the process of identifying the mutation adjacent regions within the adjacent regions based on the lighting mutation amplitude includes:

[0071] Compare the lighting mutation amplitude of each adjacent region with the threshold. If the lighting mutation amplitude is greater than the threshold, the adjacent region is a mutation adjacent region;

[0072] Step 3: Through the correlation analysis of the visually uncomfortable adjacent regions and the mutation adjacent regions, judge whether the visual discomfort is caused by the lighting mutation;

[0073] In Step 3, the process of analyzing the correlation between the visually uncomfortable adjacent area and the mutation adjacent area includes:

[0074] Based on any visually uncomfortable adjacent area;

[0075] If there is any mutation adjacent area with the same position as the visually uncomfortable adjacent area, mark the visually uncomfortable adjacent area as a coincident adjacent area;

[0076] If all mutation adjacent areas have different positions from the visually uncomfortable adjacent area, mark the visually uncomfortable adjacent area as a non - coincident adjacent area;

[0077] Count the number of coincident adjacent areas, calculate the ratio of the number of coincident adjacent areas to the number of visually uncomfortable adjacent areas to obtain the proportion of coincident adjacent areas;

[0078] Integrate the light mutation amplitudes and visual indices corresponding to each coincident adjacent area respectively to obtain a light mutation amplitude sequence and a visual index sequence;

[0079] Use the Pearson correlation coefficient method to calculate the Pearson coefficient for the light mutation amplitude and the visual index sequence;

[0080] Exemplarily, for example, the light mutation amplitude sequence is {S1, S2, S3......S n}, where S n represents the light mutation amplitude of the n - th coincident adjacent area; the visual index sequence is {VI1, VI2, VI3......VI n}, where VI n represents the visual index of the n - th coincident adjacent area; then calculate the Pearson coefficient r between the light mutation amplitude and the visual index in the coincident adjacent area, and the formula is , where S j is the light mutation amplitude of the j - th coincident adjacent area, VI j is the visual index of the j - th coincident adjacent area, is the mean value of the light mutation amplitudes of each coincident adjacent area, is the mean value of the visual indices of each coincident adjacent area, and n is the number of coincident adjacent areas;

[0081] Conduct a t - test on the calculated Pearson coefficient r between the light mutation amplitude and the visual index in each coincident adjacent area, and calculate the t - statistic: , where n is the number of coincident adjacent areas, the degree of freedom df = n - 2, obtain the two - sided p - value through the t - distribution table. If p < 0.05, there is a significant correlation between the light mutation amplitude and the visual index in the coincident adjacent area;

[0082] In Step 3, the process of determining whether the visual discomfort is caused by sudden light changes includes:

[0083] Compare the proportion of overlapping adjacent regions with a threshold. If the proportion of overlapping adjacent regions is greater than the threshold and there is a significant correlation between the sudden light change amplitude and the visual index in the overlapping adjacent regions, then the visual discomfort is caused by sudden light changes;

[0084] Exemplarily, assume that there are adjacent office areas A (mainly artificial lighting with stable brightness) and corridor B (including floor-to-ceiling windows, a mixture of natural and artificial light) in an office. It is necessary to analyze whether the visual discomfort of office workers at the junction of A / B is caused by sudden light changes;

[0085] Assume that there are a total of 5 visually uncomfortable adjacent regions (Regions X, Y, Z, M, N), and 3 of them are also sudden change adjacent regions (X, Y, Z). The proportion of overlapping adjacent regions = 3 / 5 = 60%;

[0086] Collect data on the sudden light change amplitude (S) and visual index (VI) of the 3 overlapping regions (X, Y, Z):

[0087] | Region | Sudden Light Change Amplitude S | Visual Index VI |;

[0088] | X | 0.48 | 1.92 |;

[0089] | Y | 0.55 | 2.10 |;

[0090] | Z | 0.42 | 1.80 |;

[0091] Calculate the mean , , calculate the Pearson coefficient:

[0092] t-test: n = 3, calculate the t statistic: , with degrees of freedom df = 1. Looking up the t-distribution table, the two-sided p-value < 0.05, indicating a significant correlation between the sudden light change amplitude and the visual index in the overlapping adjacent regions;

[0093] Assume that the threshold for the proportion of overlapping adjacent regions is 50%. The proportion of overlapping adjacent regions is 60% > 50%, and there is a significant correlation between the sudden light change amplitude and the visual index in the overlapping adjacent regions, indicating that the visual discomfort between office area A and corridor B is caused by sudden light changes;

[0094] Step 4: If the visual discomfort is caused by sudden light changes, combine the results of the correlation analysis to determine the standard sudden light change amplitude;

[0095] In Step 4, the process of combining the results of the correlation analysis to determine the standard sudden light change amplitude includes:

[0096] Perform a linear regression on the light mutation amplitude S and the visual index VI of each overlapping adjacent region. The linear regression equation is VI = kS + b + ε, where k is the slope, b is the intercept, and ε is the random error;

[0097] Solve for k and b by minimizing the sum of squared errors. The formula is: , , where and are the means of the light mutation amplitude S and the visual index VI within each overlapping adjacent region, S j and VI j are the light mutation amplitude S and the visual index VI of each overlapping adjacent region respectively;

[0098] Finally, obtain the linear regression equation of the light mutation amplitude S and the visual index VI of the overlapping adjacent region ;

[0099] Substitute the threshold of the visual index into the linear regression equation of the light mutation amplitude S and the visual index VI of the overlapping adjacent region , and the obtained light mutation amplitude is the standard light mutation amplitude;

[0100] Exemplarily, assume that a mall corridor (area C, brightness LC = 800 lux, color temperature TC = 3500K) is adjacent to a jewelry store (area D, illuminated by strong spotlights, brightness LD = 3000 lux, color temperature TD = 6500K), and it is confirmed that the visual discomfort in this adjacent region is caused by light mutation;

[0101] The data collected for the overlapping adjacent region is:

[0102] | Region number | Light mutation amplitude S | Visual index VI |;

[0103] | 1 | 0.65 | 2.10 |;

[0104] | 2 | 0.58 | 1.95 |;

[0105] [[ID=4…]]| 3 | 0.72 | 2.30 |;

[0106] | 4 | 0.45 | 1.60 |;

[0107] | 5 | 0.50 | 1.75 |;

[0108] Calculate the mean values:

[0109] , ;

[0110] The calculated slope k≈2.53 and b = 0.463. Therefore, the linear regression equation is VI = 2.53S + 0.463. Given that the visual index threshold is 1.5, substituting it into the equation gives the standard light mutation amplitude of 0.41;

[0111] Step Five: Determine the width of the buffer zone established within each adjacent region of visual discomfort based on the standard light mutation amplitude, and formulate the light gradual change rule for the buffer zone;

[0112] In Step Five, the process of determining the width of the buffer zone established within each adjacent region of visual discomfort based on the standard light mutation amplitude includes:

[0113] For luminance, calculate the luminance buffer zone width W L , , where is the luminance difference between both sides of the mutation adjacent region, and G L is the luminance spatial resolution, with the unit of cd / m2 / m, that is, the luminance change threshold per meter of distance, determined through the human eye visual resolution experiment, and S max is the standard light mutation amplitude;

[0114] For color temperature, calculate the color temperature buffer zone width W C , , where is the Euclidean distance of the uniform chromaticity coordinates of the color temperature on both sides of the mutation adjacent region, and G C is the color temperature spatial resolution, with the unit of chromaticity coordinate difference / meter;

[0115] Take the maximum value between the luminance buffer zone width and the color temperature buffer zone width as the final buffer zone width;

[0116] In Step Five, the process of formulating the light gradual change rule for the buffer zone includes:

[0117] For luminance, within the buffer zone, from the starting end to the ending end, the luminance L(x) changes linearly, and the formula is , where x is the distance of a certain point within the buffer zone from the starting end, and W is the buffer zone width;

[0118] For color temperature, after converting the color temperature to uniform chromaticity coordinates, perform linear interpolation calculation within the buffer zone, and then convert it back to the color temperature value. The chromaticity coordinate at the starting end is , and at the ending end is , then the chromaticity coordinate of a certain point within the buffer zone , and then convert it to the corresponding color temperature;

[0119] In Step Five, the process of establishing the buffer zone within the adjacent region of visual discomfort includes:

[0120] Divide the width of the buffer zone into two equal parts and symmetrically set the same value in the adjacent areas of visual discomfort;

[0121] For example: If the width of the buffer zone is 6 meters, divide the buffer zone into two equal parts, and the width of each half of the buffer zone is 3 meters, which are respectively set in the adjacent areas of visual discomfort;

[0122] Arrange dimmable color temperature adjustment tools in the buffer zone, and set the brightness and color temperature of the lamps according to the buffer zone rules.

[0123] The technical solution and beneficial points of the embodiments of this application are as follows: Conduct visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area. If it occurs, mark the adjacent area as an adjacent area of visual discomfort, collect the lighting parameters of the adjacent area, calculate the lighting mutation amplitude, identify the mutated adjacent area in the adjacent area according to the lighting mutation amplitude, and determine whether the visual discomfort is caused by the lighting mutation through the correlation analysis of the adjacent area of visual discomfort and the mutated adjacent area. If the visual discomfort is caused by the lighting mutation, combine the correlation analysis results to determine the standard lighting mutation amplitude, determine the width of the buffer zone established in each adjacent area of visual discomfort according to the standard lighting mutation amplitude, and formulate the lighting gradual change rule for the buffer zone. By identifying the adjacent area of visual discomfort and the mutated adjacent area, and through the correlation analysis of the adjacent area of visual discomfort and the mutated adjacent area, this application determines whether the visual discomfort is caused by the lighting mutation, and determines the standard lighting mutation amplitude through analysis. Furthermore, according to the standard lighting mutation amplitude, the width of the buffer zone established in each adjacent area of visual discomfort is determined, and the lighting gradual change rule for the buffer zone is formulated, thus solving the problem that the lighting strategies in adjacent areas are independently optimized while ignoring the visual coherence of the transition area, resulting in obvious light mutations when the human eye switches between different areas, causing visual fatigue or discomfort.

[0124] Embodiment 2

[0125] Please refer to Figure 2 As shown in the figure, the intelligent light environment collaborative control system based on multi-parameter feedback described in the embodiments of the present invention includes:

[0126] Visual discomfort area recognition module: Conduct visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area. If it occurs, mark the adjacent area as an adjacent area of visual discomfort;

[0127] The process of respectively conducting visual analysis on each adjacent area to determine whether visual discomfort occurs in the adjacent area includes:

[0128] Measure the pupil adjustment time t through an eye tracker p , calculate the retinal light stimulation intensity S r , and the formula is , where L is the luminance, measured using a luminance meter, and T is the exposure time, which is the duration that the observer fixates on the area of sudden light change and is directly obtained from the fixation duration recorded by an eye tracker;

[0129] Obtain the reference value t of the pupil adjustment time under normal conditions p0 and the reference value S of the safe retinal stimulation intensity r0 , where the reference value of the pupil adjustment time refers to the average value of the pupil adjustment time of the observer in a uniform light environment without visual discomfort, and the reference value of the safe retinal stimulation intensity refers to the upper limit of the retinal light stimulation intensity that does not cause visual discomfort, determined through population experiments;

[0130] According to the formula Calculate the visual index. The physical meaning of the visual index is: through the dual dimensions of pupil adjustment ability and retinal light stimulation, quantitatively evaluate the dynamic load of the light environment on the visual system, providing a scientific basis for judging visual comfort and formulating light optimization strategies;

[0131] Compare the visual index with the threshold. If the visual index is greater than or equal to the threshold, visual discomfort occurs in the adjacent area. If the visual index is less than the threshold, visual discomfort does not occur in the adjacent area;

[0132] Among them, the setting of the threshold of the visual index includes: conducting experiments on different populations, collecting their visual index data under different lighting conditions, and recording their subjective discomfort conditions, and using statistical methods to analyze the relationship between the visual index and visual discomfort to obtain the threshold of the visual index;

[0133] Mark the adjacent area where visual discomfort occurs as the adjacent area of visual discomfort;

[0134] Light mutation area recognition module: Collect the lighting parameters of the adjacent area, calculate the light mutation amplitude, and identify the mutant adjacent area within the adjacent area according to the light mutation amplitude;

[0135] The lighting parameters include luminance and color temperature, and the acquisition method is: using a high-precision illuminance meter and color temperature meter, taking 3 measurement points on both sides of the adjacent area boundary, recording the luminance and color temperature of each point, and collecting data at regular intervals in a mixed natural light and artificial light scene, covering different time periods of the whole day;

[0136] The calculation process of the light mutation amplitude includes:

[0137] Convert the luminance to the standard unit, calculate the absolute difference in luminance of the adjacent area, and obtain the normalized luminance mutation value S through normalization processing L , the formula is where is the absolute difference in luminance of the adjacent area, Lmax is the maximum brightness;

[0138] Convert the color temperature values T1 and T2 into uniform chromaticity coordinates and calculate the Euclidean distance of the chromaticity coordinate difference normalize to obtain the standardized color temperature mutation value S C , , where is the Euclidean distance of the current chromaticity coordinate difference, is the maximum value of the Euclidean distance of the chromaticity coordinate difference;

[0139] Calculate the illumination mutation amplitude, where the illumination mutation amplitude quantifies the difference degree of the illumination parameters in adjacent regions, and the formula is , where ω L and ω C are the weights of the brightness mutation value and the color temperature mutation value respectively;

[0140] The process of identifying the mutation adjacent region in the adjacent region according to the illumination mutation amplitude includes:

[0141] Compare the illumination mutation amplitude of each adjacent region with the threshold. If the illumination mutation amplitude is greater than the threshold, the adjacent region is a mutation adjacent region;

[0142] Correlation causality analysis module: Judge whether the visual discomfort is caused by the illumination mutation through the correlation analysis of the visually uncomfortable adjacent region and the mutation adjacent region;

[0143] The process of the correlation analysis of the visually uncomfortable adjacent region and the mutation adjacent region includes:

[0144] Based on any visually uncomfortable adjacent region;

[0145] If there is any mutation adjacent region with the same position as the visually uncomfortable adjacent region, mark the visually uncomfortable adjacent region as a coincident adjacent region;

[0146] If all mutation adjacent regions have different positions from the visually uncomfortable adjacent region, mark the visually uncomfortable adjacent region as a non - coincident adjacent region;

[0147] Count the number of coincident adjacent regions, calculate the ratio of the number of coincident adjacent regions to the number of visually uncomfortable adjacent regions to obtain the proportion of coincident adjacent regions;

[0148] Integrate the illumination mutation amplitude corresponding to each coincident adjacent region with the visual index respectively to obtain the illumination mutation amplitude sequence and the visual index sequence;

[0149] Calculate the Pearson coefficient for the light mutation amplitude and the visual index sequence using the Pearson correlation coefficient method;

[0150] The light mutation amplitude sequence is {S1, S2, S3......S n}, where S n represents the light mutation amplitude of the nth overlapping adjacent region; the visual index sequence is {VI1, VI2, VI3......VI n}, where VI n represents the visual index of the nth overlapping adjacent region; then calculate the Pearson coefficient r between the light mutation amplitude and the visual index in the overlapping adjacent regions. The formula is , where S j is the light mutation amplitude of the jth overlapping adjacent region, VI j is the visual index of the jth overlapping adjacent region, is the mean value of the light mutation amplitudes of each overlapping adjacent region, is the mean value of the visual indices of each overlapping adjacent region, and n is the number of overlapping adjacent regions;

[0151] Conduct a t-test on the Pearson coefficient r between the light mutation amplitude and the visual index in each calculated overlapping adjacent region, and calculate the t statistic: , where n is the number of overlapping adjacent regions, the degree of freedom df = n - 2, obtain the two-sided p value through the t-distribution table. If p < 0.05, there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent regions;

[0152] In step three, the process of determining whether the visual discomfort is caused by light mutation includes:

[0153] Compare the proportion of the overlapping adjacent region with the threshold. If the proportion of the overlapping adjacent region is greater than the threshold and there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent region, then the visual discomfort is caused by light mutation;

[0154] Standard mutation amplitude determination module: If the visual discomfort is caused by light mutation, combine the results of the correlation analysis to determine the standard light mutation amplitude;

[0155] The process of combining the results of the correlation analysis to determine the standard light mutation amplitude includes:

[0156] Conduct a linear regression on the light mutation amplitude S and the visual index VI of each overlapping adjacent region. The linear regression equation is VI = kS + b + ε, where k is the slope, b is the intercept, and ε is the random error;

[0157] Solve for k and b by minimizing the sum of the squared errors. The formula is: , , where and are the mean values of the light mutation amplitude S and the visual index VI in each overlapping adjacent region, respectively. S j and VI j are the light mutation amplitude S and the visual index VI in each overlapping adjacent region, respectively;

[0158] Finally, the linear regression equation of the light mutation amplitude S and the visual index VI in the overlapping adjacent region is obtained ;

[0159] Substitute the threshold value of the visual index into the linear regression equation of the light mutation amplitude S and the visual index VI in the overlapping adjacent region , and the obtained light mutation amplitude is the standard light mutation amplitude;

[0160] Buffer zone design and implementation module: Determine the width of the buffer zone established in each visually uncomfortable adjacent region according to the standard light mutation amplitude, and formulate the light gradual change rule of the buffer zone;

[0161] The process of determining the width of the buffer zone established in each visually uncomfortable adjacent region according to the standard light mutation amplitude includes:

[0162] For luminance, calculate the luminance buffer zone width W L , , where is the luminance difference between both sides of the visually uncomfortable adjacent region, and G L is the luminance spatial resolution, with the unit of cd / m2 / m, that is, the luminance change threshold per meter distance, determined through the human eye visual resolution experiment, and S max is the standard light mutation amplitude;

[0163] For color temperature, calculate the color temperature buffer zone width W C , , where is the Euclidean distance of the uniform chromaticity coordinates of the color temperature on both sides of the visually uncomfortable adjacent region, and G C is the color temperature spatial resolution, with the unit of chromaticity coordinate difference / m;

[0164] Take the maximum value of the luminance buffer zone width and the color temperature buffer zone width as the final buffer zone width;

[0165] The process of formulating the light gradual change rule of the buffer zone includes:

[0166] For luminance, within the buffer zone, from the starting end to the ending end, the luminance L(x) changes linearly, and the formula is , where x is the distance of a certain point within the buffer zone from the starting end, and W is the buffer zone width;

[0167] For the color temperature, after converting the color temperature into uniform chromaticity coordinates, linear interpolation calculation is performed within the buffer zone, and then it is converted back to the color temperature value. The chromaticity coordinates at the starting end are , and the end is . Then, the chromaticity coordinates of a certain point within the buffer zone are , and then it is converted into the corresponding color temperature;

[0168] The process of setting up the buffer zone in the adjacent area of visual discomfort includes:

[0169] Divide the width of the buffer zone into two equal parts, and symmetrically set the same values within the adjacent area of visual discomfort;

[0170] For example: the width of the buffer zone is 6 meters. Divide the buffer zone into two equal parts, and the width of each half of the buffer zone is 3 meters, which are respectively set within the adjacent area of visual discomfort;

[0171] Arrange dimmable color temperature adjustment tools within the buffer zone, and set the brightness and color temperature of the lamps according to the buffer zone rules.

[0172] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent optical environment collaborative control method based on multi-parameter feedback, characterized in that: Including: Step 1: Conduct visual analysis on each adjacent area respectively to determine whether visual discomfort occurs in the adjacent area. If it occurs, mark the adjacent area as a visually uncomfortable adjacent area; Step 2: Collect the lighting parameters of the adjacent area, calculate the lighting mutation amplitude, and identify the mutation adjacent area within the adjacent area according to the lighting mutation amplitude; Step 3: Through the correlation analysis of the visually uncomfortable adjacent area and the mutation adjacent area, determine whether the visual discomfort is caused by lighting mutation; Step 4: If the visual discomfort is caused by lighting mutation, combine the correlation analysis results to determine the standard lighting mutation amplitude; Step 5: Determine the width of the buffer zone established within each visually uncomfortable adjacent area according to the standard lighting mutation amplitude, and formulate the lighting gradual change rule for the buffer zone.

2. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 1, characterized in that: The process of determining whether visual discomfort occurs in the adjacent area includes: Comprehensively calculate the visual index based on the pupil adjustment time and the retinal light stimulation intensity; If the visual index is greater than or equal to the visual index threshold, visual discomfort occurs in the adjacent area. Otherwise, it means that visual discomfort does not occur in the adjacent area; The process of identifying the mutation adjacent area within the adjacent area according to the lighting mutation amplitude includes: Comprehensively calculate the lighting mutation amplitude of each adjacent area based on the brightness and color temperature; If the lighting mutation amplitude meets the requirements, mark the adjacent area as a mutation adjacent area.

3. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 1, characterized in that: The process of determining whether the visual discomfort is caused by lighting mutation includes: Mark the adjacent area that is a mutation adjacent area in the visually uncomfortable adjacent area as a coincidence adjacent area, and calculate the coincidence area ratio; Judge whether there is a significant correlation between the lighting mutation amplitude and the visual index in the coincidence adjacent area; Compare the coincidence area ratio with the threshold. If the coincidence area ratio is greater than the threshold and there is a significant correlation between the lighting mutation amplitude and the visual index in the coincidence adjacent area, then the visual discomfort is caused by lighting mutation.

4. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 3, characterized in that: The calculation process of the coincidence area ratio includes: Based on any visually uncomfortable adjacent area; If there is any mutation adjacent area with the same position as the visually uncomfortable adjacent area, mark the visually uncomfortable adjacent area as a coincidence adjacent area; If all mutation adjacent areas have different positions from the visually uncomfortable adjacent area, mark the visually uncomfortable adjacent area as a non-coincidence adjacent area; Count the number of coincidence adjacent areas, calculate the ratio of the number of coincidence adjacent areas to the number of visually uncomfortable adjacent areas, and obtain the coincidence area ratio.

5. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 3, characterized in that: The process of judging whether there is a significant correlation between the lighting mutation amplitude and the visual index in the coincidence adjacent area is: Integrate the light mutation amplitude and visual index corresponding to each overlapping adjacent region respectively to obtain a light mutation amplitude sequence and a visual index sequence; Use the Pearson correlation coefficient method to calculate the Pearson coefficient for the light mutation amplitude and the visual index sequence; Conduct a t-test on the Pearson coefficient between the light mutation amplitude and the visual index in each calculated overlapping adjacent region. If the Pearson coefficient passes the t-test, there is a significant correlation between the light mutation amplitude and the visual index in the overlapping adjacent region.

6. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 1, characterized in that: The process of determining the standard light mutation amplitude is as follows: Perform linear regression on the light mutation amplitude and visual index of each overlapping adjacent region to obtain a linear regression equation; The light mutation amplitude obtained by substituting the threshold of the visual index into the linear regression equation is the standard light mutation amplitude.

7. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 1, characterized in that: The process of setting up a buffer zone in the visually uncomfortable adjacent region is as follows: Determine the buffer zone width according to the light mutation amplitude when visually comfortable; Formulate a buffer zone light gradual change rule according to the buffer zone width and light parameters; Divide the buffer zone width into two equal parts and symmetrically set the same value in the visually uncomfortable adjacent region; Arrange adjustable light color temperature tools in the buffer zone and set the lamp brightness and color temperature according to the buffer zone rule.

8. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 7, characterized in that: The process of determining the buffer zone width is as follows: Calculate the brightness buffer zone width according to the linear relationship of the brightness difference between both sides of the visually uncomfortable adjacent region; Calculate the color temperature buffer zone width according to the Euclidean distance of the uniform chromaticity coordinates of the color temperature on both sides of the visually uncomfortable adjacent region; Take the maximum value of the brightness buffer zone width and the color temperature buffer zone width as the final buffer zone width.

9. The intelligent light environment collaborative control method based on multi-parameter feedback according to claim 7, characterized in that: The process of formulating the buffer zone light gradual change rule is as follows: For brightness, within the buffer zone, from the starting end to the ending end, the brightness changes linearly according to the distance; For color temperature, after converting the color temperature to uniform chromaticity coordinates, perform linear interpolation calculation within the buffer zone and then convert it back to the color temperature value. The color temperature difference value and the coordinate difference value are in a linear relationship.

10. The intelligent light environment collaborative control system based on multi-parameter feedback, characterized in that: Visually uncomfortable area recognition module: Conduct visual analysis on each adjacent region respectively to judge whether visual discomfort occurs in the adjacent region. If it occurs, mark the adjacent region as a visually uncomfortable adjacent region; Light mutation area recognition module: Collect the light parameters of the adjacent region, calculate the light mutation amplitude, and identify the mutation adjacent region within the adjacent region according to the light mutation amplitude; Relevance causal analysis module: Through the relevance analysis of the visually uncomfortable adjacent region and the mutation adjacent region, judge whether the visual discomfort is caused by the light mutation; Standard mutation amplitude determination module: If the visual discomfort is caused by the light mutation, combine the relevance analysis result to determine the standard light mutation amplitude; Buffer zone design and implementation module: Determine the width of the buffer zone established within each adjacent area of visual discomfort according to the standard light mutation amplitude, and formulate the light gradual change rule of the buffer zone.

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