A smart blackboard display screen control system and method based on eye protection effect

Abstract

The present invention discloses a control system and method for a smart blackboard display screen based on an eye protection effect, specifically relating to the field of educational equipment technology. The system comprises a smart blackboard display screen, a storage module, a data acquisition module, a data analysis and processing module, and a control execution module. The smart blackboard display screen is provided with a teaching content display area, a student fatigue information display area, and a writing area; the storage module stores student information and system parameters; the data acquisition module collects data through an ambient light sensor and an eye monitoring sensor; the data analysis and processing module standardizes the data, calculates influencing factors, and adjusts display parameters; the control execution module adjusts display screen parameters, prompts fatigue information, and can also adjust classroom lighting according to instructions. The present invention constructs a complete eye protection system, accurately adjusts display screen parameters, has rich and comprehensive functions, can pay attention to individual student eye differences, realizes zone adjustment, effectively protects student vision, and fully considers the individual student's eye use in different positions.

Description

Technical Field

[0001] The present invention relates to the technical field of educational equipment, and in particular to a smart blackboard display screen control system and method based on eye protection effect. Background Art

[0002] With the development of educational informatization, smart blackboard displays have been widely used in school teaching. However, students who face the smart blackboard display screen for a long time are prone to symptoms such as eye fatigue and dryness, and may even develop vision problems such as myopia.

[0003] Patent announcement number CN117908445A discloses a smart blackboard display control system and method, including: a command analysis module for collecting control commands issued by the user and determining the command display state of the smart blackboard display according to the control command; a command response module for establishing a display adjustment mode based on the current display state of the smart blackboard display and the command display state; an adjustment execution module for adjusting the regional display state corresponding to each display area of ​​the smart blackboard display according to the display adjustment mode; an adaptive adjustment module for adjusting the display brightness of the smart blackboard display according to the external environment information of the smart blackboard display and the written information of the user, thereby simplifying the control mode of the smart blackboard display and, during actual use, it can also self-adjust according to the external environment to achieve intelligent eye protection effect;

[0004] Although the patent document mentions that self-adjustment according to the external environment can achieve the effect of intelligent eye protection, it does not involve the monitoring of students' eye status. The adjustment method is relatively simple, lacks precise attention to students' individual eye conditions, and the eye protection is obviously weak in targeting. The patent is mainly used for command parsing and display status adjustment. It does not conduct in-depth analysis and utilization of these data, does not build a complete adjustment model, and cannot achieve precise adjustment control. It lacks functions such as displaying student fatigue information and linking with the classroom lighting system. It is lacking in functional completeness, and in terms of eye protection, it cannot make personalized adjustments based on the actual eye conditions of different students. Summary of the Invention

[0005] This invention aims to provide a smart blackboard display control system and method based on eye protection, building a complete eye protection system from data acquisition to execution. Data is collected through multi-zone eye monitoring sensors and ambient light sensors, and complex calculations are used to adjust the display parameters of the smart blackboard display. The system also displays student fatigue information and provides recommendations.

[0006] To achieve the above object, the technical solution adopted by the present invention is:

[0007] A smart blackboard display screen control system based on eye protection effect, comprising:

[0008] Smart blackboard display screen, which includes teaching content display area, student fatigue information display area and writing area;

[0009] A storage module is connected to the smart blackboard display screen and is used to store class student information and system setting parameters;

[0010] A data acquisition module is configured with multiple ambient light sensors and multiple eye monitoring sensors. The multiple ambient light sensors are used to monitor the ambient light intensity in different areas of the classroom, and the multiple eye monitoring sensors are used to collect students' gaze time and blink frequency in different areas of the classroom;

[0011] A data analysis and processing module, which is in communication with the data acquisition module, the storage module and the smart blackboard display screen, receives data from the data acquisition module to determine the student's eye status and generates control instructions;

[0012] A control execution module, which is in communication with the data analysis and processing module, the data acquisition module, the storage module and the smart blackboard display screen, and adjusts the display parameters of the smart blackboard display screen and issues student fatigue information prompts according to the control instructions issued by the data analysis and processing module;

[0013] In addition, the control execution module is also connected to the lighting system in the classroom to adjust the ambient light intensity in the classroom.

[0014] Preferably, when the data acquisition module collects data, the classroom is first divided into m areas according to the front and back rows, denoted as A j (j=1, 2, ..., m), multiple ambient light sensors and multiple eye monitoring sensors are configured in each area, and multiple ambient light sensors are located in m areas to collect the ambient light intensity L in different areas. j , multiple eye monitoring sensors are used to monitor the average screen gaze time T of students in different areas j and the average blink frequency F j .

[0015] Preferably, the data analysis and processing module normalizes the data collected by the data acquisition module, calculates the influence factor of each area on the display parameter adjustment, and adjusts the display brightness, contrast and color temperature of the smart blackboard display screen according to the calculation results.

[0016] Preferably, the data analysis and processing module standardizes the data collected by the data collection module according to the following formula to obtain the standardized ambient light intensity: Normalized fixation duration and normalized blink rate

[0017] Preferably, the data analysis and processing module calculates the influence factor I of each region on the display parameter adjustment based on the standardized value of each region. j , and its calculation formula is:

[0018]

[0019] Among them, w1, w2, and w3 are weight coefficients of ambient light intensity, gaze duration, and blink frequency, respectively, and w1+w2+w3=1. These weight coefficients can be determined through experiments and expert evaluation.

[0020] Preferably, the data analysis and processing module adjusts the brightness, contrast and color temperature of the smart blackboard display screen according to the calculation results of the influencing factors according to the following formula:

[0021] The calculation formula for the final brightness B of the display is:

[0022]

[0023] Where B0 is the initial brightness of the display, ΔB j is the brightness adjustment amount calculated for the jth region based on its environment and student status;

[0024] The calculation formula for the final contrast C of the display is:

[0025]

[0026] Where C0 is the initial contrast of the display, ΔC j is the contrast adjustment amount of the jth region;

[0027] The calculation formula for the final color temperature T of the display is:

[0028]

[0029] Among them, T0 is the initial color temperature of the display, ΔT j is the color temperature adjustment amount of the jth region.

[0030] Preferably, the specific values ​​of w1, w2, and w3 are determined as follows:

[0031] Set up experimental scenarios in multiple different classroom environments, covering different ambient light intensities, different teaching durations, and diverse student groups;

[0032] Based on the principles of human vision and basic knowledge of eye protection, a set of weight coefficients are initially set;

[0033] During the experiment, students were asked to fill out a questionnaire on visual comfort. The questionnaire covered their feelings about screen brightness, contrast, color temperature, and font size, and was divided into five levels: very comfortable, comfortable, average, uncomfortable, and very uncomfortable.

[0034] Multiple linear regression analysis: taking students’ subjective feedback data as dependent variables and the standardized ambient light intensity of each area as Normalized fixation duration and normalized blink rate As the independent variable, a multiple linear regression model was constructed;

[0035] As the teaching environment changes and the student population replaces, the above steps are repeated regularly to dynamically update the weight coefficients.

[0036] Preferably, the content displayed in the student fatigue information display area includes personal information of students who have eye fatigue and suggestions for relaxation and rest.

[0037] Preferably, the eye monitoring sensor includes an eye information acquisition module, a data processing module and a head movement tracking module;

[0038] The eye information acquisition module uses a camera to capture students' eye images; the data processing module analyzes and processes the captured images to calculate the blink frequency and the students' gaze duration; the head movement tracking module is used to monitor the position and movement state of the head in real time, compensate and correct head movement, and ensure that accurate eye movement data is recorded in the individual's natural state without being disturbed by head movement.

[0039] The present invention also discloses a method for controlling the above-mentioned smart blackboard display screen based on the eye protection effect, and the specific steps are as follows:

[0040] Step 1: Divide the classroom into multiple areas based on the front and back rows, and configure eye monitoring sensors and ambient light sensors in each area;

[0041] Step 2: Use eye monitoring sensors and ambient light sensors to collect students' eye data and ambient light data in each area;

[0042] Step 3: Analyze the collected data through the data analysis and processing module to determine the adjustment requirements of the display parameters of the smart blackboard display screen, calculate the adjustment method, and generate control instructions;

[0043] Step 4: The control execution unit adjusts the corresponding parameters of the smart blackboard display screen according to the control instructions and controls the indoor lighting equipment to adjust the ambient light, and provides student fatigue information prompts and eye relaxation suggestions in the student fatigue information display area on the smart blackboard display screen.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1. The present invention builds a complete system around student eye protection. It collects students' eye data such as gaze time and blinking frequency through multi-zone eye monitoring sensors, combines them with ambient light data, and accurately adjusts the screen brightness, color temperature, contrast and other parameters of the smart blackboard display screen through standardized processing and complex calculations. It directly adjusts eye protection according to the students' eye status, standardizes the collected data, calculates the influence factor of each area on the adjustment of display parameters, and accurately adjusts the various display parameters of the smart blackboard display screen based on this, fully tapping the value of the data and realizing refined adjustment control.

[0046] 2. The present invention can not only adjust the display parameters of the smart blackboard display screen, but also has a student fatigue information display area, which can display information of students with visual fatigue and give relaxation prompts. At the same time, the control execution module can also be connected to the lighting system in the classroom to adjust the ambient light intensity. The functions are richer and more comprehensive. By dividing the classroom into areas to collect students' eye data, it can pay attention to the differences in eye use among students in different areas, and then realize zoning adjustment, which fully considers the eye use of individual students in different positions. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a schematic diagram of the workflow module of the present invention;

[0048] Figure 2 This is a schematic diagram of the positions of the teaching content display area and the student fatigue information display area in the smart blackboard display screen of the present invention.

[0049] In the picture: A. Student fatigue information display area; B. Teaching content display area; C. Writing area. DETAILED DESCRIPTION

[0050] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0051] like Figure 1 As shown, the present invention discloses a smart blackboard display screen control system based on eye protection effect. Its workflow module schematic diagram shows the various components of the system and their mutual relationships, including the smart blackboard display screen, storage module, data acquisition module, data analysis and processing module, and control execution module.

[0052] In one embodiment of the present invention, the entire smart blackboard display screen adopts a touch-sensitive writing display screen, and Figure 2As shown, the smart blackboard display screen can be divided into a student fatigue information display area A and a teaching content display area B. At the same time, writing areas C are reserved on both sides of the student fatigue information display area A and the teaching content display area B. In the actual teaching process, the teaching content display area is used for daily teaching, and the student fatigue information display adopts a scrolling playback form to display the information of students with eye fatigue. The writing area is used for teachers to write and display during the teaching process.

[0053] It should be noted that the display screen touch and partitioning technology and the scrolling playback technology of the student fatigue information display area A in this embodiment are conventional design means in this field. For details, please refer to the display principle of the television, and the present invention will not elaborate on them.

[0054] The specific methods of the above-mentioned smart blackboard display screen, storage module, data acquisition module, data analysis and processing module, and control execution module are further disclosed below with reference to specific examples:

[0055] When implementing the present invention, it is first necessary to create a comprehensive file of the personal information of the students in the class and the corresponding seat position of the student and store it in a storage module, so as to facilitate the subsequent monitoring of the eye status of each student and matching the corresponding eye information;

[0056] Secondly, divide the classroom into m areas according to the front and back rows, denoted as A j (j=1, 2, ..., m), multiple ambient light sensors and multiple eye monitoring sensors are configured in each area respectively, and the multiple ambient light sensors are respectively located in m areas to collect the ambient light intensity Lj of different areas, and the multiple eye monitoring sensors are used to monitor the average screen gaze time Tj and average blink frequency Fj of students in different areas;

[0057] It should be specifically noted that the ambient light sensor in this embodiment only needs to monitor the light intensity of m areas in the classroom, and a common ambient light monitoring sensor in the prior art can be used. Specifically, the eye monitoring sensor includes an eye information acquisition module, a data processing module, and a head movement tracking module:

[0058] The eye information acquisition module uses a camera to capture images of students' eyes. The data processing module analyzes and processes the captured images, calculating blink frequency and student gaze duration. The head tracking module monitors the position and movement of the head in real time, compensating and correcting head movement to ensure accurate eye movement data is recorded in the individual's natural state without interference from head movement.

[0059] The eye monitoring sensor in this embodiment can specifically adopt the aSeeProPlus high-speed eye tracker produced by Qixin Yiwei. This product adopts a dual-camera design and can record binocular movements at a speed of up to 1250 frames per second. The two cameras capture eye images from different angles, which improves the accuracy and comprehensiveness of eye movement tracking; the data processing module quickly processes and analyzes the large amount of collected eye image data, and calculates the eye movement trajectory, gaze point, blinking and other information through the algorithm, and the algorithm delay is less than 2ms, ensuring the real-time and accuracy of the data; it supports ultra-large range of head movement, and the built-in sensor can monitor the position and movement status of the head in real time, compensate and correct the head movement, and ensure that accurate eye movement data is recorded in the individual's natural state without being disturbed by head movement.

[0060] Furthermore, the ambient light intensity L is collected in different areas. j , students’ average screen-watching time T j and the average blink frequency F j Afterwards, the data collected by the data acquisition module is standardized using the data analysis and processing module according to the following formula:

[0061] Standardized calculation formula for ambient light intensity:

[0062]

[0063] Among them, L min and L max are the minimum and maximum values ​​of the ambient light intensity in all areas respectively;

[0064] Standardized calculation formula for fixation duration:

[0065]

[0066] Among them, T min and T max are the minimum and maximum average screen-looking time of students in all regions, respectively;

[0067] Standardized calculation formula for blink frequency:

[0068] Among them, F min and F max are the minimum and maximum average blinking frequencies of students in all regions, respectively.

[0069] Then, based on the above-calculated standardized values ​​of each region, the influence factor I of each region on the display parameter adjustment is calculated. j , and its calculation formula is:

[0070]

[0071] Among them, w1, w2, and w3 are weight coefficients of ambient light intensity, gaze duration, and blink frequency, respectively, and w1+w2+w3=1. These weight coefficients can be determined through experiments and expert evaluation.

[0072] It is important to note that the lower the blinking frequency, the more adjustments are needed. When calculating the impact factor, the blinking frequency involved is calculated using the inverse value.

[0073] In this case, the specific values ​​of w1, w2, and w3 are determined as follows:

[0074] 1. Establish an experimental scenario

[0075] Experimental scenarios were set up in multiple different classroom environments, covering different ambient light intensities (such as bright window-side classrooms and dimly lit corner classrooms), different teaching duration arrangements (such as short classes and long classes), and diverse student groups (different age groups and different vision conditions).

[0076] 2. Initial weight setting

[0077] Based on the principles of human vision and basic knowledge of eye protection, a set of weighting coefficients was initially set. For example, considering that ambient light intensity significantly affects vision, w1 could be initially set to 0.4; gaze duration, a key factor in eye fatigue, could be set to 0.3; and blink frequency, reflecting the degree of eye fatigue, could be set to 0.2. Thus, w1 = 0.4, w2 = 0.3, w3 = 0.3, and w1 + w2 + w3 = 1.

[0078] 3. Data Collection and Analysis

[0079] Subjective feedback data: During the experiment, students completed a questionnaire about their visual comfort. The questionnaire covered their perceptions of screen brightness, contrast, color temperature, and font size, with a five-level scale: very comfortable, comfortable, average, uncomfortable, and very uncomfortable. Teachers also collected observations of students' classroom performance (e.g., attention span and frequent eye rubbing).

[0080] Objective physiological data: Use professional eye physiological monitoring equipment to collect data such as students' gaze trajectory, pupil diameter changes, and actual blinking frequency.

[0081] 4. Data-based weight optimization

[0082] Multiple linear regression analysis: taking students’ subjective feedback data as dependent variables and the standardized ambient light intensity of each area as Normalized fixation duration and normalized blink rate As the independent variable, construct a multiple linear regression model:

[0083]

[0084] Where Y is the quantified value of the subjective feedback data, β0 is the intercept, β1, β2, and β3 correspond to the coefficients of each variable, and ∈ is the error term. The relative sizes of the coefficients β1, β2, and β3 obtained through regression analysis can initially reflect the influence of each factor on visual comfort and serve as a reference for adjusting the weight coefficients.

[0085] Analytic Hierarchy Process (AHP): An evaluation panel was formed by inviting educational experts, ophthalmologists, and vision researchers. First, a judgment matrix was constructed to compare the three factors of ambient light intensity, fixation duration, and blink frequency, determining their relative importance to visual comfort. For example, for ambient light intensity and fixation duration, experts were required to determine whether ambient light intensity was equally important, slightly important, significantly important, strongly important, or extremely important to visual comfort compared to fixation duration, thereby constructing a complete judgment matrix. Then, by calculating the eigenvectors and maximum eigenvalues ​​of the judgment matrix, the relative weights of each factor were determined.

[0086] 5. Weight coefficient adjustment and verification

[0087] Adjustment: Based on the results of the multivariate linear regression analysis and the AHP method, the initial weight coefficients were adjusted. For example, if the regression analysis shows that the effect of fixation duration on visual comfort is high, and the AHP method also shows that fixation duration is relatively important, then the value of the first coefficient is appropriately increased, and the other weight coefficients are correspondingly reduced to ensure that the total weight is 1.

[0088] Verification: Apply the adjusted weight coefficients to new experimental data and collect students' subjective feedback and objective physiological data again. Compare the improvement in students' visual comfort before and after the adjustment. If the adjustment improves students' subjective comfort scores and improves objective physiological indicators (such as blink rate approaching the normal range and pupil diameter changes becoming more stable), the weight coefficient adjustment is effective. Otherwise, reanalyze the data and further optimize the weight coefficient.

[0089] 6. Dynamic Updates

[0090] As the teaching environment changes (such as replacement of classroom lighting equipment, adjustment of course schedule) and the replacement of student groups, the above steps are repeated regularly and the weight coefficients are dynamically updated to ensure that the system can always accurately calculate the impact factors of each area according to actual conditions, providing a reasonable basis for adjusting the display parameters of the display screen.

[0091] According to the above method, the influence factor I of each area on the display parameter adjustment is calculated. jThen, calculate and adjust the brightness, contrast, and color temperature of the smart blackboard display according to the following formula:

[0092] The calculation formula for the final brightness B of the display is:

[0093]

[0094] Where B0 is the initial brightness of the display, ΔB j is the brightness adjustment amount calculated for the jth region based on its environment and student status, and the calculation formula is:

[0095]

[0096] Among them, k1, k2, and k3 are the coefficients of brightness adjustment by ambient light intensity, gaze duration, and blink frequency respectively;

[0097] The calculation formula for the final contrast C of the display is:

[0098]

[0099] Where C0 is the initial contrast of the display, ΔC j is the contrast adjustment of the jth region, and is calculated as:

[0100] ΔC j =p1×(L normj -0.5)+p2×(T normj -0.5)-p3×(F normj -0.5)

[0101] p1, p2, and p3 are the coefficients of contrast adjustment by ambient light intensity, fixation duration, and blink frequency, respectively;

[0102] The calculation formula for the final color temperature T of the display is:

[0103]

[0104] Among them, T0 is the initial color temperature of the display, ΔT j is the color temperature adjustment amount of the jth area, and the calculation formula is:

[0105] ΔT j =q1×(L normj -0.5)+q2×(T normj -0.5)-q3×(F normj -0.5)

[0106] q1, q2, and q3 are the coefficients of color temperature adjustment based on ambient light intensity, gaze duration, and blink frequency, respectively.

[0107] In the above calculation formulas for the final brightness B, final contrast C, and final color temperature T of the display, I k with I j The meaning is similar to I j is the influence factor of the jth region on the adjustment of display parameters, I k is the influence factor of the kth area on the adjustment of display parameters. k is also a variable, and its value range is also from 1 to m, which is used to represent any area among the m areas divided into classrooms.

[0108] and Represents the impact factor I on all m regions k The purpose of summing up is to calculate the impact factor I of each region j Perform normalization so that It represents the proportion of the influencing factor of the jth region in the total influencing factors of all regions, so as to more reasonably calculate the contribution of each region to the final display parameters of the display (such as brightness B, contrast C, etc.).

[0109] In addition, when calculating ΔB j , ΔC j , ΔT j In the formula, the adjustment coefficients of k1, k2, k3, p1, p2, p3, q1, q2, q3 are determined according to the following steps:

[0110] 1. Design the experimental scenario

[0111] A simulated classroom environment was built, with different combinations of ambient light intensity, student screen gaze duration, and blink rate. For example, three ambient light intensity levels (low, medium, and high), three gaze duration levels (short, medium, and long), and three blink rates (low, medium, and high) were set, creating a total of 27 different scenarios.

[0112] 2. Select test samples

[0113] A certain number of students were recruited as test samples. They were asked to watch the display screen content in different scenarios and record their subjective feelings and visual comfort evaluation, such as whether they felt glare, fatigue, or difficulty seeing.

[0114] 3. Measure objective data

[0115] In each scenario, professional display measurement equipment, such as luminance meters and color analyzers, is used to measure the actual brightness, contrast, color temperature and other data of the display under different parameter settings.

[0116] 4. Analyze data and determine the coefficient

[0117] Statistical analysis is performed on the collected subjective evaluation and objective measurement data. For example, regression analysis is used to establish a mathematical model between ambient light intensity, gaze duration, blinking frequency and brightness, contrast, and color temperature adjustment. The regression analysis method is a conventional calculation method in the existing technology. The model calculation can obtain the coefficient value that can optimize the students' subjective visual comfort and at the same time the objective display effect meets the requirements.

[0118] In this embodiment, the smart blackboard display screen can be adjusted according to the final brightness B, final contrast C and final color temperature T of the display screen calculated above. The adjustment frequency is set to once every 5 minutes, that is, the system performs the above calculation once every 5 minutes, and generates a control instruction based on the calculation results, and sends it to the control execution module to adjust the parameters of the display screen.

[0119] The solution for controlling the execution module to adjust the brightness, color temperature, and contrast of the display screen can also adopt conventional solutions in the existing technology. In the existing technology, the brightness, color temperature, and contrast of the display screen are usually adjusted using PWM or DC dimming technology, combined with RGB or two-color LED backlight to achieve color temperature adjustment. Contrast adjustment is achieved through dynamic contrast algorithm or local dimming technology. Ambient light sensors and software algorithms further optimize the display effect, while integrated control chips and Internet of Things technology provide high integration and remote control capabilities. For example, Apple's TrueTone technology uses ambient light sensors and two-color LED backlight to achieve color temperature adjustment, while high-end TVs use local dimming technology to improve contrast. Therefore, this case can be freely selected according to needs.

[0120] In addition, in one embodiment of the invention, the control execution module is also connected to the lighting system in the classroom to adjust the ambient light intensity in the classroom.

[0121] Specifically, it has been widely used in many fields. For example, the Philips Hue smart lighting system uses light sensors and wireless communication technology to achieve automatic dimming; Apple's TrueTone technology automatically adjusts the brightness of the display through ambient light sensors, which are completely existing technologies.

[0122] In one embodiment of the invention, the data analysis and processing module can also process the eye information of each student at the same time, generate a personal eye file for the student, and transmit it to the storage module for data storage, so that teachers or parents can check the student's eye condition at any time, make timely adjustments, and protect the student's eye health.

[0123] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart blackboard display screen control system based on eye protection effect, characterized in that: include: Smart blackboard display screen, which includes teaching content display area, student fatigue information display area and writing area; A storage module is connected to the smart blackboard display screen and is used to store class student information and system setting parameters; A data acquisition module is configured with multiple ambient light sensors and multiple eye monitoring sensors. The multiple ambient light sensors are used to monitor the ambient light intensity in different areas of the classroom, and the multiple eye monitoring sensors are used to collect students' gaze time and blink frequency in different areas of the classroom; A data analysis and processing module, which is in communication with the data acquisition module, the storage module and the smart blackboard display screen, receives data from the data acquisition module to determine the student's eye status and generates control instructions; A control execution module, which is in communication with the data analysis and processing module, the data acquisition module, the storage module and the smart blackboard display screen, and adjusts the display parameters of the smart blackboard display screen and issues student fatigue information prompts according to the control instructions issued by the data analysis and processing module; In addition, the control execution module is also connected to the classroom lighting system to adjust the ambient light intensity in the classroom; When the data acquisition module collects data, the classroom is first divided into m areas according to the front and back rows, denoted as Aj, where j = 1, 2, ..., m; multiple ambient light sensors and multiple eye monitoring sensors are configured in each area, and multiple ambient light sensors are respectively located in the m areas to collect the ambient light intensity L in different areas. j , multiple eye monitoring sensors are used to monitor the average screen gaze time T of students in different areas j and the average blink frequency F j ; The data analysis and processing module normalizes the data collected by the data acquisition module, calculates the influence factor of each area on the display parameter adjustment, and adjusts the display brightness, contrast and color temperature of the smart blackboard display screen according to the calculation results; The data analysis and processing module standardizes the data collected by the data acquisition module according to the following formula to obtain the standardized ambient light intensity L normj , standardized fixation duration T normj and normalized blink rate F normj ; The data analysis and processing module calculates the influence factor I of each region on the display parameter adjustment based on the standardized value of each region. j , and its calculation formula is: I j =w1×L normj +w2×T normj +w3×(1-F normj ) Where w1, w2, and w3 are weight coefficients for ambient light intensity, gaze duration, and blink frequency, respectively, and w1 + w2 + w3 = 1. These weight coefficients were determined through experiments and expert evaluation. The data analysis and processing module adjusts the brightness, contrast and color temperature of the smart blackboard display screen according to the following formula based on the calculation results of the influencing factors: The calculation formula for the final brightness B of the display is: Where B0 is the initial brightness of the display, ΔB j is the brightness adjustment amount calculated for the jth region based on its environment and student status; The calculation formula for the final contrast C of the display is: Where C0 is the initial contrast of the display, ΔC j is the contrast adjustment amount of the jth region; The calculation formula for the final color temperature T of the display is: Among them, T0 is the initial color temperature of the display, ΔT j is the color temperature adjustment amount of the jth area, I k is the influence factor of the kth region on the adjustment of display parameters.

2. The smart blackboard display screen control system based on eye protection effect according to claim 1 is characterized in that: The specific values ​​of w1, w2, and w3 are determined as follows: Set up experimental scenarios in multiple different classroom environments, covering different ambient light intensities, different teaching durations, and diverse student groups; Based on the principles of human vision and basic knowledge of eye protection, a set of weight coefficients are initially set; During the experiment, students were asked to fill out a questionnaire on visual comfort. The questionnaire covered their feelings about screen brightness, contrast, color temperature, and font size, and was divided into five levels: very comfortable, comfortable, average, uncomfortable, and very uncomfortable. Multiple linear regression analysis: taking students’ subjective feedback data as dependent variables and the standardized ambient light intensity L in each area as normj , standardized fixation duration T normj and normalized blink rate F normj As the independent variable, a multiple linear regression model was constructed; As the teaching environment changes and the student population replaces, the above steps are repeated regularly to dynamically update the weight coefficients.

3. The smart blackboard display screen control system based on eye protection effect according to claim 1 is characterized in that: The content displayed in the student fatigue information display area includes personal information of students who have eye fatigue and suggestions for relaxation and rest.

4. The smart blackboard display screen control system based on eye protection effect according to claim 1 is characterized in that: The eye monitoring sensor includes an eye information acquisition module, a data processing module and a head movement tracking module; The eye information acquisition module uses a camera to capture students' eye images; the data processing module analyzes and processes the captured images to calculate the blink frequency and the students' gaze duration; the head movement tracking module is used to monitor the position and movement state of the head in real time, compensate and correct head movement, and ensure that accurate eye movement data is recorded in the individual's natural state without being disturbed by head movement.

5. A control method for a smart blackboard display screen based on an eye protection effect, applying the smart blackboard display screen control system based on an eye protection effect according to any one of claims 1 to 4, characterized in that: The specific steps are as follows: Step 1: Divide the classroom into multiple areas based on the front and back rows, and configure eye monitoring sensors and ambient light sensors in each area; Step 2: Use eye monitoring sensors and ambient light sensors to collect students' eye data and ambient light data in each area; Step 3: Analyze the collected data through the data analysis and processing module to determine the adjustment requirements of the display parameters of the smart blackboard display screen, calculate the adjustment method, and generate control instructions; Step 4: The control execution unit adjusts the corresponding parameters of the smart blackboard display screen according to the control instructions and controls the indoor lighting equipment to adjust the ambient light, and provides student fatigue information prompts and eye relaxation suggestions in the student fatigue information display area on the smart blackboard display screen.

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