A method and system for evaluating visual comfort of tablet computer fill light

Abstract

The present invention discloses a method and system for predicting the human eye comfort of a tablet computer fill light, comprising collecting illumination information of a specific position of a plane where a tablet computer is located; judging whether the illumination information of the specific position of the plane where the tablet computer is located is within the illumination range applicable to the present invention; collecting micro-invert information of the spectral reflectance of the tablet computer fill light; judging whether the micro-invert of the tablet computer fill light is within the micro-invert range applicable to the present invention; selecting and matching the illumination information with a human eye comfort estimation model of the tablet computer fill light; and obtaining a corresponding estimation value based on the micro-invert information in combination with a human eye comfort prediction estimation model of the corresponding tablet computer fill light, so as to realize the prediction of the human eye comfort of the tablet computer fill light.

Description

Technical Field

[0001] The invention belongs to the technical field of LED intelligent lighting, and in particular relates to a method and system for evaluating the visual comfort of a tablet computer fill light. Background Art

[0002] Now, tablet computers are no longer just "entertainment devices" for many people, but "production tools". The epidemic has accelerated this trend, because in scenarios such as remote meetings and online learning, tablet computers are more convenient, more interactive, and have a lower price threshold than laptops. Tablet computers may become the mainstream in emerging industries such as education and in business deployments that support digital transformation. Even after the traditional peak season, tablet computer suppliers can gain greater benefits from the growing demand. In order to facilitate the support of tablet computers and meet user needs, the auxiliary accessories of tablet computer stands have flourished.

[0003] At the same time, the rapid development of LED intelligent lighting technology has promoted people's perception of lighting comfort. Compared with traditional light sources, LED light sources have many advantages such as high light efficiency, low radiation, and long life. Its technical characteristics of adjustable light color have created possibilities for intelligent lighting, which can enter the current daily life and further meet people's personalized needs. It is also suitable for application scenarios such as tablet computer fill lights. However, when people use tablet computers in dark environments, they often rely on the tablet computer's light panel lighting, which will aggravate eye fatigue in the long run and significantly increase the risk of eye diseases. This factor that seriously affects eye health often does not receive enough attention.

[0004] Many domestic lighting manufacturers have begun to combine tablet computer stands with lighting sources in order to free consumers' hands while protecting their eye health. However, the lighting sources they use lack scientific and systematic research on human visual comfort and cannot effectively protect consumers' eye health.

[0005] In summary, it is of great significance to scientifically and systematically design a method to predict the visual comfort of tablet computer fill light. Summary of the invention

[0006] The purpose of the present invention is to solve the problem described in the background technology and to provide a method and system for evaluating the visual comfort of a tablet computer fill light.

[0007] The technical solution of the present invention is a method for evaluating the visual comfort of a tablet computer fill light, comprising the following steps:

[0008] Step 1: Fix the tablet computer on the tablet computer stand with the screen off and adjust it to an appropriate angle.

[0009] Step 2, measuring the illumination information E at a specific position of the plane where the tablet computer is located;

[0010] Step 3, determining whether the illumination information E of a specific position on the plane where the tablet computer is located is within the illumination range applicable to the present invention, that is, determining whether E1≤E≤E4 is established. If not, the present invention is not applicable. If so, proceed to the next step.

[0011] Step 4, measuring the micro-reflectance M of the spectral reflectance of the tablet computer fill light;

[0012] Step 5, judging whether the micro-invertedness M of the tablet computer fill light is within the set micro-invertedness range, that is, judging whether M1≤M≤M2 is established, if not, exit, if yes, proceed to the next step;

[0013] Step 6, inputting the micro-invertedness information of the tablet computer fill light in step 4 into the constructed quantitative model P1, P2 or P3 for predicting human eye comfort of the tablet computer fill light, obtaining an estimated value of eye comfort applicable to the general population, thereby realizing the prediction of human eye comfort of the tablet computer fill light. Furthermore, if E1≤E≤E2 holds true, the P1 model is used; if E2≤E≤E3 holds true, the P2 model is used; if E3≤E≤E4 holds true, the P3 model is used;

[0014] P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0015] P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0016] Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=33.79, b1=0.01163, c1=-1.451, a2=31.92, b2=0.01229, c2=1.545.

[0017] P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0018] P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0019] Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801.

[0020] P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0021] P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0022] Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.373.

[0023] Furthermore, in step 3, E1=0lx, E4=500lx.

[0024] Moreover, the calculation formula of the micro-inverter in step 4 is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

[0025] Moreover, in step 5, M1=129.87, M2=434.78.

[0026] Moreover, in step 6, E1=0lx, E2=100lx, E3=300lx, E4=500lx.

[0027] The present invention also provides a tablet computer fill light visual comfort evaluation system, comprising the following modules:

[0028] The illumination information acquisition module is used to fix the tablet computer on the tablet computer stand after the screen is turned off and adjust it to a proper angle, and then measure the illumination information E at a specific position of the plane where the tablet computer is located;

[0029] An illumination information range judgment module is used to judge whether the illumination information E of the supplementary light of the tablet computer to be evaluated is within the illumination range applicable to the present invention, that is, to judge whether E1≤E≤E4 is established. If not, the present invention is not applicable.

[0030] Micro-invertedness acquisition module, used to measure the micro-invertedness M of the tablet computer fill light;

[0031] A micro-inverting range judgment module is used to judge whether the micro-inverting degree M of the supplementary light of the tablet computer to be evaluated is within the micro-inverting degree range applicable to the present invention, that is, to judge whether M1≤M≤M2 is established. If not, the present invention is not applicable;

[0032] The human eye comfort prediction module is used to use the constructed human eye comfort prediction estimation model P1 or P2 or P3 of the tablet computer fill light to predict the human eye comfort applicable to the general population for the tablet computer fill light to be evaluated, and measure the estimated value of eye comfort of the general population according to the output result; further, if E1≤E≤E2 is established, the P1 model is used; if E2≤E≤E3 is established, the P2 model is used; if E3≤E≤E4 is established, the P3 model is used;

[0033] P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0034] P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0035] Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=33.79, b1=0.01163, c1=-1.451, a2=31.92, b2=0.01229, c2=1.545.

[0036] P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0037] P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0038] Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801.

[0039] P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0040] P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0041] Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.373.

[0042] Moreover, in the illumination information range judgment module, E1=0lx, E4=500lx.

[0043] Moreover, in the micro-inversion range judgment module, M1=129.87, M2=434.78.

[0044] Moreover, the calculation formula of the micro-invertedness in the micro-invertedness acquisition module is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

[0045] Moreover, in the human eye comfort prediction module, E1=0lx, E2=100lx, E3=300lx, and E4=500lx.

[0046] Moreover, in the micro-inversion range judgment module, compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] The present invention proposes a method and system for predicting the human eye comfort of a tablet computer fill light based on human eye comfort and light source micro-invertedness. The method and system take the micro-invertedness index of the tablet computer fill light to be evaluated as a basis and the eye comfort estimation model of the general population as a means to achieve a comprehensive and accurate prediction and evaluation of the human eye comfort of the tablet computer fill light, thereby providing a comprehensive and targeted human eye comfort prediction scheme for the field. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is a flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In conjunction with the accompanying drawings, a detailed description of the embodiments of the present invention is provided as follows.

[0050] like Figure 1 The illustrated embodiment provides a method for predicting the human eye comfort of a tablet computer fill light based on human eye comfort and light source micro-invertedness. The method relies on the micro-invertedness index of the tablet computer fill light to be evaluated and uses the eye comfort estimation model of the general population as a means to achieve a comprehensive and accurate prediction and evaluation of the human eye comfort of the tablet computer fill light.

[0051] The embodiment uses 7 tablet computer fill light sources with different micro-inverted degrees as the light sources to be used: their micro-inverted degrees are 129.87, 166.67, 217.39, 270.27, 333.33, 384.62 and 434.78 respectively; the results of psychophysical experiments are used as the basis for model verification, and the accuracy of the human eye comfort prediction method of the tablet computer fill light based on human eye comfort and light source micro-inverted degree proposed in this paper is explained. It should be noted that the present invention is not limited to the above light sources, and this method is also applicable to other LED light sources.

[0052] When the technical solution of the present invention is specifically implemented, those skilled in the art can use computer software technology to achieve automatic operation. The method flow provided in the embodiment includes the following steps:

[0053] 1) Fix the tablet computer on the tablet computer stand with the screen off and adjust it to a proper angle;

[0054] 2) Measure the illumination information E at specific positions of the plane where the tablet computer is located. The specific positions are the center of the screen of the plane where the tablet computer is located, 10 cm above the center of the screen of the plane where the tablet computer is located, 10 cm to the left of the center of the screen of the plane where the tablet computer is located, and 10 cm to the right of the center of the screen of the plane where the tablet computer is located. The illumination information at the four positions is averaged to obtain the illumination information E at the specific position of the plane where the tablet computer is located;

[0055] 3) Determine whether the illumination information E of a specific position on the plane where the tablet computer is located is within the illumination range applicable to the present invention, that is, determine whether E1≤E≤E or E1≤E≤E4 is established. If not, the present invention is not applicable. If yes, proceed to the next step;

[0056] In the embodiment, E1=0lx, E4=500lx.

[0057] 4) Measure the micro-reflectance M of the spectral reflectance of the tablet computer fill light;

[0058] In the embodiment, the calculation formula of the micro-inverter is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

[0059] 5) Determine whether the micro-invertedness M of the supplementary light of the tablet computer to be evaluated is within the micro-invertedness range applicable to the present invention, that is, determine whether M1≤M≤M2 is established. If not, the present invention is not applicable. If so, proceed to the next step;

[0060] In the embodiment, M1=129.87, M2=434.78.

[0061] 6) Inputting the micro-invertedness information of the tablet computer fill light in step 4) into the constructed quantitative model P1, P2 or P3 for predicting human eye comfort of the tablet computer fill light, obtaining an estimated value of eye comfort applicable to the general population, and then realizing the prediction of human eye comfort of the tablet computer fill light; further, if E1≤E≤E2 holds, the P1 model is used; if E2≤E≤E3 holds, the P2 model is used; if E3≤E≤E4 holds, the P3 model is used;

[0062] In the embodiment, E1=0lx, E2=100lx, E3=300lx, and E4=500lx.

[0063] P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0064] P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0065] Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=33.79, b1=0.01163, c1=-1.451, a2=31.92, b2=0.01229, c2=1.545.

[0066] P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0067] P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0068] Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801.

[0069] P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0070] P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0071] Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.373.

[0072] In order to further verify the technical advantages of the method of the present invention in predicting the human eye comfort of tablet computer fill lights, a psychophysical experiment was used to calculate the PEARSON correlation coefficient between the human eye comfort of the general population for tablet computer fill lights obtained by the psychophysical experiment and the eye comfort estimation values ​​P1, P2 and P3 applicable to the general population in 7) by the method of correlation coefficient R. The specific implementation is: the above 7 types of tablet computer fill lights to be evaluated are used as experimental objects to conduct psychophysical experiments, and the specific experimental method is as follows:

[0073] 1) The experiment was conducted in a dark room with a gray background cloth covering the perimeter of the experimental area. The seven types of tablet computer fill lights to be evaluated were used as experimental objects.

[0074] 2) During the experiment, the experimenter will ask the observer to use one of the seven types of tablet computer fill lights for 1 hour. The observer needs to record his / her eye comfort evaluation score in the experiment record sheet according to the evaluation rules specified in the experiment. The evaluation rules are as follows:

[0075] The five-level evaluation is adopted, with 1 for very uncomfortable and 5 for very comfortable. The larger the number, the higher the eye comfort. After the observer uses one of the seven types of tablet computer fill lights for 1 hour, the observer can make a corresponding score.

[0076] 3) A total of 30 observers were selected for the experiment, with a male-female ratio of 1:1, and all of them had normal vision. Before each experiment, the experimenter will introduce the experimental situation orally. During the experiment, the observer uses one of the 7 types of tablet computer fill lights to be evaluated for 1 hour, and then the observer can make a corresponding score. Then the observer and tablet computer fill light are replaced, and this step is repeated until the last set of experimental scenes. A total of 7 (light source) * 30 (observers) = 210 sets of experimental scenes.

[0077] 4) After the experiment, the scores given by all observers on their own eye comfort level are counted to calculate the PEARSON correlation coefficient between the subjective evaluation value and the eye comfort estimation value of the overall population constructed by the present invention.

[0078] Through the above psychophysical experiment, the subjective evaluation value of the human eye comfort of the tablet computer fill light of the general population can be obtained, and the PEARSON correlation coefficient between the subjective evaluation value and the eye comfort estimation value P1, P2 and P3 suitable for the general population constructed by the present invention can be further calculated, as shown in the following Table 1. The results show that the correlation coefficient values ​​between the subjective evaluation value and the model estimation value are all above 0.96, proving that the human eye comfort prediction model of the tablet computer fill light based on human eye comfort and light source micro-inversion constructed by the present invention has extremely high accuracy, and further proves that the method of the present invention has a strong technical advantage in predicting the human eye comfort of the tablet computer fill light.

[0079] Table 1 Correlation coefficients between subjective evaluation values ​​and model estimated values

[0080]

[0081] The present invention also provides a human eye comfort prediction system for a tablet computer fill light based on human eye comfort and light source micro-inclination, comprising the following modules:

[0082] The illumination information acquisition module is used to fix the tablet computer on the tablet computer stand after the screen is turned off and adjust it to a proper angle, and then measure the illumination information E at a specific position of the plane where the tablet computer is located;

[0083] An illumination information range judgment module is used to judge whether the illumination information E of the supplementary light of the tablet computer to be evaluated is within the illumination information range applicable to the present invention, that is, to judge whether E1≤E≤E4 is established. If not, the present invention is not applicable.

[0084] Micro-invertedness acquisition module, used to measure the micro-invertedness M of the tablet computer fill light;

[0085] The micro-inverting range judgment module is used to judge whether the micro-inverting degree M of the supplementary light of the tablet computer to be evaluated is within the set micro-inverting degree range, that is, to judge whether M1≤M≤M2 is established, and exit if not established;

[0086] The human eye comfort prediction module is used to use the constructed human eye comfort prediction estimation model P1 or P2 or P3 of the tablet computer fill light to predict the human eye comfort applicable to the general population for the tablet computer fill light to be evaluated, and measure the estimated value of eye comfort of the general population according to the output result; further, if E1≤E≤E2 is established, the P1 model is used; if E2≤E≤E3 is established, the P2 model is used; if E3≤E≤E4 is established, the P3 model is used;

[0087] P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0088] P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0089] Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=33.79, b1=0.01163, c1=-1.451, a2=31.92, b2=0.01229, c2=1.545.

[0090] P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0091] P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0092] Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801.

[0093] P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows:

[0094] P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2)

[0095] Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.373.

[0096] Moreover, in the illumination information range judgment module, E1=0lx, E4=500lx.

[0097] Moreover, in the micro-inversion range judgment module, M1=129.87, M2=434.78.

[0098] Moreover, the calculation formula of the micro-invertedness in the micro-invertedness acquisition module is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

[0099] Moreover, in the human eye comfort prediction module, E1=0lx, E2=100lx, E3=300lx, and E4=500lx.

[0100] The specific implementation of each module corresponds to each step, which will not be elaborated in the present invention.

[0101] The specific embodiments described herein are merely examples of the spirit of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in similar ways, but they will not deviate from the spirit of the present invention or exceed the scope defined by the appended claims.

Claims

1. A method for predicting human eye comfort of a tablet computer fill light, characterized in that: The following steps are involved: Step 1: Fix the tablet computer on the tablet computer stand with the screen off and adjust it to a proper angle; Step 2, measuring the illumination information E at a specific position of the plane where the tablet computer is located; Step 3, determine whether the illumination information E of the specific position of the plane where the tablet computer is located is within the set illumination range, that is, determine whether E1≤E≤E4 is established, if not, exit, if yes, proceed to the next step; Step 4, measuring the micro-reflectance M of the spectral reflectance of the tablet computer fill light; Step 5, judging whether the micro-invertedness M of the tablet computer fill light is within the set micro-invertedness range, that is, judging whether M1≤M≤M2 is established, if not, exit, if yes, proceed to the next step; Step 6, inputting the micro-invertedness information of the tablet computer fill light in step 4 into the constructed quantitative model P1, P2 or P3 for predicting human eye comfort of the tablet computer fill light, obtaining an estimated value of eye comfort applicable to the general population, and then realizing the prediction of human eye comfort of the tablet computer fill light; further, if E1≤E≤E2 is established, the P1 model is used; if E2≤E≤E3 is established, the P2 model is used; if E3≤E≤E4 is established, the P3 model is used; P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1 = 33.79, b1 = 0.01163, c1 = -1.451, a2 = 31.92, b2 = 0.01229, c2 = 1.545; P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801; P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.

373.

2. The method for predicting human eye comfort of a tablet computer fill light according to claim 1, characterized in that: In step 3, E1=0lx, E4=500lx.

3. The method for predicting human eye comfort of a tablet computer fill light according to claim 1, characterized in that: The calculation formula of the micro-inverter in step 4 is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

4. The method for predicting human eye comfort of a tablet computer fill light according to claim 1, characterized in that: In step 5, M1=129.87, M2=434.

78.

5. The method for predicting human eye comfort of a tablet computer fill light according to claim 1, characterized in that: In step 6, E1=0lx, E2=100lx, E3=300lx, E4=500lx.

6. A human eye comfort prediction system for a tablet computer fill light, characterized in that: Includes the following modules: The illumination information acquisition module is used to fix the tablet computer on the tablet computer stand after the screen is turned off and adjust it to a proper angle to measure the illumination information E at a specific position of the plane where the tablet computer is located; The illumination information range judgment module is used to judge whether the illumination information E of the supplementary light of the tablet computer to be evaluated is within the set illumination information range, that is, to judge whether E1≤E≤E4 is established, and if not, exit; Micro-invertedness acquisition module, used to measure the micro-invertedness of the tablet computer fill light; The micro-inverting range judgment module is used to judge whether the micro-inverting degree M of the supplementary light of the tablet computer to be evaluated is within the set micro-inverting degree range, that is, to judge whether M1≤M≤M2 is established, and exit if not established; The human eye comfort prediction module is used to use the constructed human eye comfort prediction estimation model P1 or P2 or P3 of the tablet computer fill light to predict the human eye comfort applicable to the general population for the tablet computer fill light to be evaluated, and measure the estimated value of eye comfort of the general population according to the output result; further, if E1≤E≤E2 is established, the P1 model is used; if E2≤E≤E3 is established, the P2 model is used; if E3≤E≤E4 is established, the P3 model is used; P1 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P1=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P1 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1 = 33.79, b1 = 0.01163, c1 = -1.451, a2 = 31.92, b2 = 0.01229, c2 = 1.545; P2 is the human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P2=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P2 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=3.354, b1=0.004998, c1=0.256, a2=0.3412, b2=0.04094, c2=-9.801; P3 is a human eye comfort estimation model for tablet computer fill light, and its specific form is as follows: P3=a1*sin(b1*M+c1)+a2*sin(b2*M+c2) Among them, P3 is the estimated value of eye comfort applicable to the general population, M is the micro-inverter of the tablet computer fill light, a1=6.42, b1=0.008371, c1=-0.6219, a2=3.546, b2=0.01235, c2=1.

373.

7. The human eye comfort prediction system for the tablet computer fill light according to claim 6, characterized in that: In the illumination information range judgment module, E1=0lx, E4=500lx.

8. The human eye comfort prediction system for the tablet computer fill light according to claim 6, characterized in that: The calculation formula of the micro-invertedness in the micro-invertedness acquisition module is M=1000000 / K, where K is the color temperature of the tablet computer fill light.

9. The human eye comfort prediction system for the tablet computer fill light according to claim 6, characterized in that: In the micro-inversion range judgment module, M1=129.87, M2=434.

78.

10. The human eye comfort prediction system for the tablet computer fill light according to claim 6, characterized in that: In the human eye comfort prediction module of the tablet computer fill light, E1=0lx, E2=100lx, E3=300lx, and E4=500lx.

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