A notebook computer backlight source bottom plate structure optimization method

Abstract

The present application relates to the technical field of backlight bottom plate optimization, and discloses a notebook computer backlight bottom plate structure optimization method, which comprises the following steps: obtaining initial structure parameters of the backlight bottom plate, including bottom plate thickness distribution, support point position and heat dissipation hole layout, the bottom plate comprising multiple functional areas; identifying the performance requirement level of each functional area according to the initial structure parameters, when there are multiple high-performance requirement areas, calculating the area ratio, screening a first optimization area set, and the rest is a to-be-adjusted area; determining the uncovered requirement area, combining the to-be-adjusted area to screen a second optimization area set; merging the two to obtain the final optimization area for structure optimization. The method accurately locates the optimization area through multiple rounds of screening, takes into account the performance requirements of multiple areas, improves the adaptability of the bottom plate structure and requirements, and can effectively optimize the backlight bottom plate structure.

Description

Technical Field

[0001] This invention relates to the field of backlight base plate optimization technology, specifically a method for optimizing the structure of a laptop backlight base plate. Background Technology

[0002] As laptops rapidly evolve towards thinner, lighter, and higher-performance designs, the backlight, as a core component of the display module, directly impacts the overall display quality and lifespan due to the stability, heat dissipation, and support strength of its base plate structure. The backlight base plate must simultaneously meet multiple performance requirements. For example, in terms of support, it must provide stable support for components such as the light guide plate and LED strips in the backlight module, preventing uneven brightness in the display image due to deformation. Regarding heat dissipation, a reasonable layout of ventilation holes is needed to dissipate the heat generated by the LED strips in a timely manner, preventing high temperatures from affecting the luminous efficiency and lifespan of the LEDs. In terms of weight reduction, the base plate thickness must be reduced while maintaining performance to meet the thinner and lighter design requirements of laptops.

[0003] Traditional backlight base plate designs often employ standardized parameter configurations, meaning the entire base plate uses the same thickness distribution, support point density, and heat dissipation hole layout. While this design approach simplifies the production process, it struggles to adapt to the differentiated needs of various functional areas within the base plate. For instance, the area near the LED strip has higher heat dissipation requirements; using the same heat dissipation hole layout as other areas may lead to insufficient heat dissipation. Conversely, the central area of ​​the light guide plate requires higher support strength; using a uniform thickness design may result in deformation due to insufficient localized strength.

[0004] Existing optimization methods lack a systematic approach in region selection, often relying solely on a single performance metric (such as maximum area ratio) to determine the optimization area, neglecting the interrelationship of needs between different functional areas. When multiple high-performance demand areas exist, overlapping optimization areas or omission of key areas can easily occur, resulting in performance shortcomings even after optimization. Furthermore, traditional methods are not precise enough in calculating the matching degree between uncovered demand areas and areas to be adjusted, making it difficult to compensate for performance gaps through optimization of the areas to be adjusted, ultimately affecting the overall performance of the base plate.

[0005] As users' demands for laptop display quality and user experience continue to rise, the structural optimization of backlight substrates needs to balance the requirements of multiple areas and multiple performance aspects. Therefore, how to establish a method that can accurately identify the needs of functional areas, scientifically select and optimize areas, and achieve collaborative optimization of multiple areas has become a technical problem that needs to be solved in the current backlight substrate design field. Summary of the Invention

[0006] The purpose of this invention is to provide a method for optimizing the backlight base plate structure of a laptop computer, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides a method for optimizing the backlight base plate structure of a laptop computer, the method comprising:

[0008] Obtain the initial structural parameters of the laptop backlight base plate, including the base plate thickness distribution, support point positions and heat dissipation hole layout, and the backlight base plate includes multiple functional areas;

[0009] Based on the initial structural parameters, the performance requirement level of each functional area is identified. In the case of multiple high-performance requirement areas, the area ratio of each high-performance requirement area is calculated. Based on the multiple functional areas of the high-performance requirement areas and the area ratio, a first set of optimized areas is obtained through screening. Multiple functional areas outside the first set of optimized areas are identified as areas to be adjusted.

[0010] Based on the first set of optimized regions and the multiple functional regions, multiple uncovered demand regions are determined. Based on the multiple uncovered demand regions and the multiple regions to be adjusted, a second set of optimized regions is obtained through screening. The first set of optimized regions and the second set of optimized regions are merged to obtain the final optimized region, which is used for the structural optimization of the backlight base plate.

[0011] Preferably, the first optimized region set is obtained by filtering multiple functional regions based on the high-performance demand region and their area proportions, including:

[0012] The region with the largest proportion in the high-performance demand region is determined based on the area proportion, and the region with the largest proportion is determined as the first optimization region. The first optimization region and the remaining high-performance demand regions are compared to obtain the first optimization region set.

[0013] Preferably, when there are multiple regions with the largest proportion, the method for determining the first optimized region includes:

[0014] The functional areas of each of the maximum proportion areas are compared and overlapped. If there are overlapping areas in each of the maximum proportion areas, the support strength value of each of the maximum proportion areas is obtained. The maximum proportion area with the highest support strength value is determined as the first optimization area.

[0015] In the case of a maximum proportion of non-overlapping regions, if there is only one maximum proportion of non-overlapping regions, the maximum proportion of non-overlapping regions is determined as the first optimized region. If there are multiple maximum proportions of non-overlapping regions, one maximum proportion of non-overlapping regions is randomly selected as the first optimized region.

[0016] Preferably, the step of comparing the first optimized region with the remaining high-performance demand regions to obtain the first optimized region set includes:

[0017] The functional regions of the first optimization region are compared with the functional regions of the remaining high-performance demand regions to obtain multiple non-overlapping regions. The non-overlapping region with the largest area ratio is determined as the second optimization region.

[0018] Based on the second optimized region and the remaining non-overlapping regions, the process of comparing each functional region of the first optimized region with each functional region of the remaining high-performance demand region is repeated to obtain multiple non-overlapping regions. The non-overlapping region with the largest area ratio is determined as the second optimized region until no region can be selected. The optimized regions are then combined into a first optimized region set.

[0019] Preferably, the step of obtaining a second optimized region set by filtering multiple uncovered demand regions and multiple regions to be adjusted includes:

[0020] The multiple uncovered demand areas are compared with the functional areas of the multiple areas to be adjusted. The demand matching degree of each area to be adjusted is determined according to the comparison results. The area to be adjusted with the highest demand matching degree is determined as the first selected area.

[0021] A second set of optimized regions is obtained by comparing the first selected region and the remaining regions to be adjusted.

[0022] Preferably, when there are multiple regions to be adjusted with the highest demand matching degree, the method for determining the first selected region includes:

[0023] Obtain the preset optimization weights of each uncovered demand area in each of the adjustment areas with the highest demand matching degree. Calculate the sum of the demand weights of each of the adjustment areas with the highest demand matching degree based on the preset optimization weights. Determine the adjustment area with the highest sum of demand weights as the first selected area.

[0024] Preferably, the step of comparing the first selected region and the remaining regions to be adjusted to obtain the second optimized region set includes:

[0025] The functional areas of the first selected area are compared with the functional areas of the remaining areas to be adjusted to obtain multiple non-overlapping areas. The non-overlapping area with the highest demand matching degree is determined as the second selected area.

[0026] Based on the second selected region and the remaining non-overlapping regions, the process of comparing each functional region of the first selected region with each functional region of the remaining region to be adjusted is repeated to obtain multiple non-overlapping regions. The non-overlapping region with the highest demand matching degree is determined as the second selected region until no region is available. The selected regions are then combined into a second optimized region set.

[0027] Preferably, when the initial structural parameters do not meet the pre-stored base plate structure optimization criteria, and it is determined that the support structure needs to be adjusted, the method includes:

[0028] Multiple regions to be enhanced are obtained. The functional area of ​​each region to be enhanced is compared with the multiple regions to be enhanced to obtain each coverage enhancement area of ​​each region to be enhanced. The region to be enhanced with the most coverage enhancement areas is determined as the first selected region.

[0029] The coverage enhancement regions of the first selected region are compared with the coverage enhancement regions of the remaining regions to be adjusted to obtain multiple non-overlapping regions. The non-overlapping region with the most coverage enhancement regions is determined as the second selected region.

[0030] Based on the second selected area and the remaining non-overlapping areas, the process of comparing each coverage enhancement area of ​​the first selected area with each coverage enhancement area of ​​the remaining area to be adjusted is repeated to obtain multiple non-overlapping areas. The non-overlapping area with the most coverage enhancement areas is determined as the second selected area until no area is available. The selected areas are combined into a set of support adjustment areas for adjusting the support structure and optimizing the structure of the backlight base plate through the adjusted support structure.

[0031] Preferably, obtaining the initial structural parameters of the laptop backlight substrate includes:

[0032] The actual contour data of the backlight base plate is collected by a 3D scanning device. Combined with the design drawings, the measured values ​​of the base plate thickness distribution, the coordinate values ​​of the support point positions, and the hole diameter and spacing values ​​of the heat dissipation hole layout are extracted. The measured values, coordinate values, and hole diameter and spacing values ​​are combined into the initial structural parameters.

[0033] Preferably, determining the demand matching degree of each of the regions to be adjusted based on the comparison results includes:

[0034] The number of uncovered demand areas covered in each of the regions to be adjusted is counted, and the ratio of the covered areas to the total number of functional areas in the regions to be adjusted is calculated. This ratio is used as the demand matching degree.

[0035] Compared with the prior art, the beneficial effects of the present invention are:

[0036] By acquiring initial structural parameters and identifying the performance requirement levels of each functional area, precise positioning of the differentiated needs of different areas of the base plate was achieved, breaking the limitations of traditional uniform design. When multiple high-performance requirement areas exist, the first set of optimized areas is determined by statistically analyzing area proportions and combining overlap comparisons, support strength analysis, and other multi-dimensional screening rules. This ensures the priority optimization of key high-performance areas and avoids the omission or overlap of areas caused by screening based on a single indicator. For example, when multiple areas with the largest proportions overlap, the optimal area is selected by comparing support strength values, ensuring the performance of the core area while reducing the waste of optimization resources.

[0037] For handling uncovered demand areas and areas to be adjusted, this method calculates the demand matching degree and gradually selects a second set of optimized areas, achieving precise compensation for performance gaps. The demand matching degree calculation combines the ratio of the number of covered areas to the total area of ​​the regions, ensuring that the optimization of the areas to be adjusted can maximize the satisfaction of uncovered demands and improve the overall performance balance. Simultaneously, in the scenario of supporting structure adjustment, the set of supporting adjustment areas is determined by comparing the number of reinforced coverage areas, further enhancing the support stability of the base plate in critical areas and reducing the risk of display failures due to structural weaknesses.

[0038] This method obtains initial structural parameters by combining 3D scanning with design drawings, ensuring the accuracy and comprehensiveness of the parameters and providing a reliable data foundation for subsequent optimization. The overall process involves multiple rounds of screening and merging, ultimately identifying optimization areas that not only cover core high-performance requirements but also address potential performance shortcomings. This results in synergistic improvements in thickness distribution, support strength, and heat dissipation efficiency of the optimized base plate. This not only enhances the display stability and lifespan of the backlight but also reduces material consumption while meeting performance requirements, aligning with the trend towards thinner, lighter, and lower-cost laptops. Attached Figure Description

[0039] Figure 1 This is a schematic diagram illustrating the working principle of the laptop backlight base plate structure optimization method described in this invention.

[0040] Figure 2 A flowchart generated for the first optimized region set;

[0041] Figure 3 A flowchart for filtering the second optimized region set;

[0042] Figure 4 A flowchart generated for the second optimized region set;

[0043] Figure 5 A flowchart for generating the set of support structure adjustment regions. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figures 1-5 The present invention provides a method for optimizing the backlight base plate structure of a laptop computer, the method comprising:

[0046] The initial structural parameters of the laptop backlight base plate are obtained. These parameters include the base plate thickness distribution, support point locations, and heat dissipation hole layout. The backlight base plate contains multiple functional areas. Specifically, the actual contour data of the backlight base plate is acquired using a 3D scanning device. Combined with design drawings, the measured values ​​of the base plate thickness distribution, the coordinate values ​​of the support point locations, and the hole diameter and spacing values ​​of the heat dissipation hole layout are extracted. These measured values, coordinate values, and hole diameter and spacing values ​​are then combined to form the initial structural parameters.

[0047] Based on the initial structural parameters, the performance requirement level of each functional area is identified. In the case of multiple high-performance requirement areas, the area ratio of each high-performance requirement area is calculated. Based on the multiple functional areas and area ratios of the high-performance requirement areas, a first set of optimized areas is obtained. The multiple functional areas outside the first set of optimized areas are identified as areas to be adjusted.

[0048] Based on the first set of optimized regions and multiple functional regions, multiple uncovered demand regions are determined. Based on the multiple uncovered demand regions and multiple regions to be adjusted, a second set of optimized regions is obtained through screening. The first set of optimized regions and the second set of optimized regions are merged to obtain the final optimized region, which is used for the structural optimization of the backlight base plate.

[0049] Example 1: After obtaining the initial structural parameters of the laptop backlight base plate, a first set of optimized regions is selected. First, the region with the largest proportion is determined based on the area ratio of the high-performance demand regions, and this region is taken as the first optimized region. Then, a comparison is performed between this first optimized region and the remaining high-performance demand regions to obtain the first set of optimized regions.

[0050] When multiple maximum proportion regions exist, it is necessary to further determine the first optimization region. In this case, the functional areas of each maximum proportion region are compared for overlap. If overlapping areas exist among the maximum proportion regions, the support strength value of each maximum proportion region is obtained. This support strength value can be determined through relevant mechanical tests or design parameters, such as the mechanical performance indicators of the base plate material and the structural design characteristics of each region. Then, the maximum proportion region with the highest support strength value is determined as the first optimization region. When there are maximum proportion regions without overlap, if there is only one such region, it is directly determined as the first optimization region; if there are multiple non-overlapping maximum proportion regions, one is randomly selected as the first optimization region.

[0051] After determining the first optimization region, the functional areas of the first optimization region are compared with the functional areas of the remaining high-performance requirement regions. This comparison yields multiple non-overlapping regions. The region with the largest area ratio among these non-overlapping regions is designated as the second optimization region. Next, based on this second optimization region and the remaining non-overlapping regions, the comparison process is repeated, again comparing the functional areas of the first optimization region with those of the remaining high-performance requirement regions, resulting in multiple new non-overlapping regions. Again, the non-overlapping region with the largest area ratio is designated as the new second optimization region. This process is repeated until no new regions are available. Throughout this process, the determined optimization regions are continuously recorded, and finally, all determined optimization regions are combined to form the first optimization region set.

[0052] Throughout the operation, it is crucial to accurately calculate and statistically analyze the area proportions of each region. For example, when calculating the area proportion of high-performance demand areas, the specific size of each high-performance demand area and the total area of ​​the backlight base plate must be clearly defined. The area proportion of each region is determined by the ratio of these areas. For overlapping area comparisons, the spatial relationship between each functional area must be precisely analyzed to determine which areas overlap and which do not. When determining the support strength value, reasonable standards and methods must be followed to ensure that the obtained support strength value accurately reflects the support capacity of each region with the largest proportion.

[0053] During the repeated comparison and determination of the second optimization region, each operation must strictly follow the previous steps to ensure that the determined second optimization region is the one with the largest area among the remaining non-overlapping regions. Through multiple rounds of screening and determination, the final set of first optimization regions can include as many areas as possible that have a large area ratio and are more important to the performance of the backlight substrate, thus providing a more targeted optimization region range for subsequent structural optimization of the backlight substrate.

[0054] Furthermore, when dealing with multiple regions with the largest proportion, whether determining the first optimized region based on support strength values ​​or randomly selecting one when multiple non-overlapping regions exist, it is crucial to ensure standardized and consistent operations to avoid deviations in determining the first optimized region due to human factors or improper procedures. Simultaneously, throughout the entire screening process, detailed records of each step's operation should be kept, including area data, overlap status, and support strength values ​​for each region, to facilitate subsequent checks and verification of the rationality of the first optimized region set.

[0055] Through the above series of detailed operational steps, a first set of optimized regions can be selected from the high-performance demand areas in a relatively scientific and reasonable manner, providing an important foundation and basis for the structural optimization of the backlight substrate. In this process, each step is closely linked, requiring careful attention to ensure that the final set of optimized regions meets the actual needs of backlight substrate structural optimization.

[0056] Example 2: When filtering multiple uncovered demand areas and multiple areas to be adjusted to obtain a second optimized area set, the following detailed steps should be followed. First, compare each functional area of ​​the multiple uncovered demand areas with each functional area of ​​the multiple areas to be adjusted. By counting the number of uncovered demand areas covered in each area to be adjusted, calculate the ratio of this covered number to the total number of functional areas in the area to be adjusted, thereby determining the demand matching degree of each area to be adjusted. Then, determine the area to be adjusted with the highest demand matching degree as the first selected area.

[0057] When performing comparison processing, it is necessary to clearly define the specific location and scope of each uncovered demand area, as well as the functional area distribution of each area to be adjusted. For example, suppose there are 5 uncovered demand areas, labeled A, B, C, D, and E, and each area to be adjusted contains several functional areas. For a certain area to be adjusted, X, its total number of functional areas is 10. During the comparison process, it is found that its functional areas cover uncovered demand areas A, B, and C, so the coverage is 3, and the demand matching degree is 3 ÷ 10 = 0.3. By performing such statistics and calculations on all areas to be adjusted, the demand matching degree value of each area to be adjusted can be obtained.

[0058] When multiple regions to be adjusted have the highest and equal demand matching degree, it is necessary to further determine the first selection region. At this point, the preset optimization weights of each uncovered demand region within each region to be adjusted with the highest demand matching degree are obtained. These preset optimization weights are values ​​pre-set based on the importance of each uncovered demand region in the backlight base plate structure optimization. For example, different uncovered demand regions may be assigned different weight values ​​due to their different impacts on base plate performance. Then, the sum of the demand weights of each region to be adjusted with the highest demand matching degree is calculated based on these preset optimization weights. For example, if the demand matching degree of regions Y and Z is the highest value of 0.4, and region Y covers uncovered demand regions A (weight 0.5) and B (weight 0.3), then the sum of its demand weights is 0.5 + 0.3 = 0.8; region Z covers uncovered demand regions A (weight 0.5) and C (weight 0.4), then the sum of its demand weights is 0.5 + 0.4 = 0.9. In this case, region Z, with the higher sum of demand weights, is determined as the first selection region.

[0059] After determining the first selected region, a comparison process is needed between this first selected region and the remaining regions to be adjusted to obtain a second optimized region set. Specifically, each functional area of ​​the first selected region is compared with each functional area of ​​the remaining regions to be adjusted, resulting in multiple non-overlapping regions. Among these non-overlapping regions, the region with the highest demand matching degree is determined as the second selected region. The demand matching degree is calculated in the same way as before, that is, the ratio of the number of uncovered demand areas covered by the non-overlapping region to the total number of functional areas in that region.

[0060] Based on the newly determined second selection area and the remaining non-overlapping areas, the above comparison operation is repeated: Each functional area of ​​the current selection area (either the first selection area or the determined second selection area) is compared with each functional area of ​​the remaining areas to be adjusted to obtain new non-overlapping areas. The area with the highest demand matching degree is then selected as the new second selection area. This process is repeated until no new areas are available. During this process, each time a second selection area is determined, a comprehensive comparison and calculation of all remaining non-overlapping areas must be performed to ensure that the selected area indeed has the highest demand matching degree.

[0061] Throughout the operation, it is crucial to carefully define and delineate uncovered demand areas, ensuring the accuracy of the scope and location of each uncovered demand area. Simultaneously, the preset optimization weights must be set based on sound criteria, such as performance requirements and stress conditions of each area of ​​the base plate. This ensures that, given equal demand matching, the sum of demand weights can accurately identify areas with greater optimization value.

[0062] Furthermore, when comparing functional areas, it is crucial to accurately analyze the spatial relationships between each area, clearly identifying which areas overlap and which do not, to avoid biased judgments about non-overlapping areas due to inaccurate area division. The total number of functional areas for each area to be adjusted also needs to be accurately counted to ensure the accuracy and reliability of the demand matching calculation results.

[0063] Through the detailed steps outlined above, areas with high demand matching are gradually selected from multiple areas to be adjusted. These selected areas are then combined into a second set of optimized areas. The areas in this set effectively match uncovered demand areas, allowing for optimization and adjustment of these areas during the backlight substrate's structural optimization process to meet the substrate's performance requirements. During implementation, each step must be strictly followed according to the operating procedures to ensure the scientific rigor and accuracy of the selection process, providing an effective range of areas for subsequent structural optimization work.

[0064] Example 3: When the initial structural parameters do not meet the pre-stored base plate structure optimization standards, and it is determined that the support structure needs to be adjusted, the following steps should be followed to obtain the set of support adjustment areas.

[0065] Multiple areas to be reinforced are identified. These areas are determined by comparing and analyzing the base plate structure optimization standards with the initial structural parameters. For example, the location and range of the areas to be reinforced are determined by analyzing the stress distribution of the base plate and areas with insufficient support strength.

[0066] The functional areas of each region to be adjusted are compared with multiple regions to be strengthened. During the comparison, the specific location and extent of the functional areas of each region to be adjusted, as well as the location and extent of each region to be strengthened, need to be clearly defined. By comparing spatial locations, it is determined which regions to be strengthened are covered by the functional areas of each region to be adjusted, thus obtaining the various strengthened areas covered by each region to be adjusted. Then, the number of strengthened areas covered by each region to be adjusted is counted, and the region to be adjusted with the most strengthened areas is determined as the first selected region.

[0067] For example, suppose there are 3 regions to be adjusted, namely M, N, and O, and 4 regions to be enhanced, namely P, Q, R, and S. The functional area of ​​region M covers P, Q, and R, with a coverage quantity of 3; the functional area of ​​region N covers Q and R, with a coverage quantity of 2; and the functional area of ​​region O covers P, R, and S, with a coverage quantity of 3. In this case, regions M and O have the same and the most enhanced regions covered. Either one can be selected as the first selected region, or further determined according to other preset rules (such as region size). Here, we assume M is selected as the first selected region.

[0068] After determining the first selected region, each coverage enhancement region of the first selected region is compared with each coverage enhancement region of the remaining regions to be adjusted, resulting in multiple non-overlapping regions. Here, a non-overlapping region refers to a portion of the coverage enhancement regions of the remaining regions to be adjusted that does not overlap with the coverage enhancement regions of the first selected region. For example, if the coverage enhancement regions of the first selected region M are P, Q, and R, and the coverage enhancement regions of the remaining regions to be adjusted O are P, R, and S, then after comparison, the coverage enhancement region S in O that does not overlap with M is S, forming a non-overlapping region. If there is still a remaining region to be adjusted N, its coverage enhancement regions are Q and R, which overlap with the coverage enhancement regions Q and R of M, resulting in no non-overlapping regions.

[0069] Among the obtained non-overlapping regions, the non-overlapping region with the most reinforced coverage is determined as the second selected region. If multiple non-overlapping regions have the same number of reinforced coverage areas, they can be handled in a similar way to determining the first selected region, such as random selection or referring to other preset rules. Assuming that the only non-overlapping region is region S with O, and the number of reinforced coverage areas is 1, then this region is determined as the second selected region.

[0070] Based on the second selected region and the remaining non-overlapping regions, repeat the above comparison operation: compare each coverage enhancement region of the currently selected region (the first selected region or the determined second selected region) with each coverage enhancement region of the remaining regions to be adjusted to obtain new non-overlapping regions, and then select the non-overlapping region with the most coverage enhancement regions as the new second selected region. Repeat this process until no new regions are available to choose from.

[0071] During each comparison process, it is necessary to accurately record the coverage enhancement status of each region to be adjusted, as well as the formation process of non-overlapping regions. For example, in the second comparison, the second selected region is the S region of O. There may be no other unprocessed regions remaining to be adjusted, or there may be other regions that need to be compared. Operations should be carried out according to the actual situation. After each new selected region is determined, it must be included in the support adjustment region set, and the range of the remaining regions to be adjusted and the non-overlapping regions must be updated.

[0072] Throughout the operation, the determination of the areas to be reinforced must be based on reasonable standards and methods to ensure that these areas are indeed the parts of the base plate support structure that need reinforcement. For example, finite element analysis can be used to simulate the stress conditions of the base plate under different working conditions to identify areas with insufficient support strength as the areas to be reinforced. At the same time, when comparing the functional areas to be adjusted with the areas to be reinforced, it is necessary to ensure accurate spatial location comparison to avoid statistical errors in the coverage of reinforced areas due to inaccurate area division.

[0073] Furthermore, the statistics on the number of areas to be reinforced must be strictly based on the actual number of areas to be reinforced, without omissions or duplicates. When determining the selected areas, whether it is the first or subsequent second selection area, it is essential to ensure that the selected area covers the maximum number of areas to be reinforced under the current conditions, so as to ensure that the set of support adjustment areas can include as many key areas as possible that need reinforcement.

[0074] Through the above steps, areas with a large number of reinforced areas are gradually selected and combined into a set of support adjustment areas. These areas will be used to adjust the support structure. By optimizing the support structure in these areas, such as adjusting the position of support points and increasing support strength, the overall support performance of the backlight base plate is improved, ensuring it meets pre-stored base plate structure optimization standards. During implementation, each step requires meticulous operation to ensure the accuracy and effectiveness of the support adjustment area set, providing a reliable regional basis for the structural optimization of the backlight base plate.

[0075] Example 4: Obtaining the initial structural parameters of the laptop backlight base plate requires specific equipment and operating procedures.

[0076] Use a 3D scanning device to collect actual contour data of the backlight substrate. Taking a laser scanner as an example, place it at a suitable distance from the substrate, typically between 30 cm and 1 meter, ensuring that the scanner's laser beam can completely cover the surface of the substrate. After turning on the scanner, use the device's built-in software to control the scanner to rotate and scan around the substrate, or move the substrate within the scanner's field of view for a full-range scan, to obtain 3D contour data of the substrate from various angles. During the scanning process, pay attention to the reflectivity of the substrate surface. If there are areas with strong reflectivity, a matte spray can be applied to the surface to improve the accuracy of the scanned data.

[0077] After scanning, 3D point cloud data of the base plate is obtained, containing the spatial coordinate information of each point on the base plate surface. Next, the data is extracted and processed in conjunction with the design drawings. The design drawings typically detail the various functional areas of the base plate, its thickness distribution, support point locations, and the layout of heat dissipation holes. When extracting the thickness distribution measurements, the key locations on the base plate requiring thickness measurement are first determined based on the design drawings, such as the center and edge locations of different functional areas. Then, the points corresponding to these key locations are found in the 3D point cloud data, and the distances between these points in the direction perpendicular to the base plate surface are calculated using software, thus obtaining the thickness measurement values ​​for each key location. For example, at the center of the motherboard mounting area marked in the drawings, the base plate thickness at that location is calculated to be 1.2 mm using 3D data.

[0078] To extract the coordinates of the support points, the design location of the support points is first determined on the design drawings, typically using the lower left corner of the base plate as the origin to establish a three-dimensional coordinate system. Then, the actual location of the support point is found in the three-dimensional point cloud data, and its three-dimensional coordinates (X, Y, Z) are obtained using software. For example, if the design coordinates of a support point on the drawing are (100, 50, 0), its actual coordinates in the three-dimensional data are obtained as (100.2, 50.1, 0.1). These coordinate values ​​will be used as the support point location information in the initial structural parameters.

[0079] The process for extracting the aperture and spacing values ​​for the heat dissipation hole layout is as follows: First, determine the distribution area of ​​the heat dissipation holes, the design aperture of each hole, and the design spacing between adjacent holes on the design drawing. Then, locate the actual positions of the heat dissipation holes in the 3D point cloud data and measure the actual aperture size of each hole using software. For example, if the aperture of a heat dissipation hole in the design drawing is 2 mm, the actual measured aperture is 2.05 mm. Regarding the spacing of the heat dissipation holes, measure the distance between the centers of two adjacent holes; for example, if the design spacing is 5 mm, the actual measured spacing is 5.08 mm.

[0080] After extracting the measured values ​​of the base plate thickness distribution, the coordinate values ​​of the support point locations, and the diameter and spacing values ​​of the heat dissipation holes, this data needs to be organized and verified. First, check if all data is complete and if any measurement points or heat dissipation holes are missing. Then, compare the extracted data with the theoretical values ​​in the design drawings to check for significant deviations. For example, whether the deviation between the measured and design values ​​of the base plate thickness is within the allowable tolerance range, and whether the coordinate deviation of the support point locations will affect the support performance of the base plate, etc.

[0081] If data discrepancies or omissions are found, the scan or measurement needs to be repeated to ensure the accuracy of the initial structural parameters. For example, if the measured diameter of a heat dissipation hole deviates significantly from the design value, it may be because the point cloud data for that area was incomplete during the scanning process. In this case, the area needs to be scanned again, and the hole diameter measured once more.

[0082] After compiling all the data, the measured values ​​of the base plate thickness distribution, the coordinate values ​​of the support point locations, and the diameter and spacing values ​​of the heat dissipation holes are combined to form complete initial structural parameters. These parameters will be stored in the form of a data table for easy use in subsequent structural optimization work. For example, in the table, the first column records the location of the base plate thickness measurement points, the second column records the corresponding thickness values; the third column records the support point numbers, the fourth and fifth columns record the X and Y coordinate values ​​of the support points, respectively; the sixth column records the heat dissipation hole numbers, the seventh column records the hole diameter values, and the eighth column records the spacing values ​​between adjacent heat dissipation holes.

[0083] By following the detailed operational steps outlined above, the initial structural parameters of the laptop backlight substrate can be accurately obtained, providing a reliable data foundation for subsequent structural optimization methods. Throughout the process, the operation of the 3D scanning equipment, the interpretation of design drawings, and the extraction and organization of data must be strictly carried out in accordance with specifications to ensure the accuracy and completeness of the initial structural parameters, thereby guaranteeing the smooth progress of the backlight substrate structural optimization work.

[0084] Example 5: When determining the matching degree of each area to be adjusted based on the comparison results, a detailed explanation is required through specific operation procedures and examples. Assuming that there are multiple uncovered demand areas and areas to be adjusted in the backlight base plate, the following example is used to illustrate the process: 5 uncovered demand areas (labeled as areas 1 to 5) and 3 areas to be adjusted (labeled as areas A, B, and C).

[0085] Clearly define the specific location and extent of each uncovered area on the base plate. For example, Area 1 is located in the upper left corner of the base plate, with an area of ​​10 square centimeters; Area 2 is located in the center of the base plate, with an area of ​​15 square centimeters, etc. Simultaneously, determine the functional area distribution of each area to be adjusted. For example, Area A contains 10 functional areas distributed on the right side of the base plate; Area B contains 8 functional areas distributed in the center of the base plate; and Area C contains 12 functional areas distributed in the lower left corner of the base plate.

[0086] The process involves comparing each functional area of ​​multiple uncovered demand areas with each functional area of ​​multiple areas to be adjusted. Taking area A as an example, through spatial location comparison, it was found that 4 functional areas cover uncovered demand areas 1, 2, 3, and 5 respectively, meaning the number of covered uncovered demand areas is 4. Therefore, the demand matching degree of area A is calculated by dividing the number of covered areas (4) by the total number of functional areas (10), resulting in a ratio of 0.4.

[0087] Similarly, comparing region B, its 8 functional regions cover the uncovered demand regions 2, 3, and 4, with a coverage quantity of 3 and a demand matching degree of 3 ÷ 8 = 0.375. Region C's 12 functional regions cover the uncovered demand regions 1, 3, 4, and 5, with a coverage quantity of 4 and a demand matching degree of 4 ÷ 12 ≈ 0.333.

[0088] Based on the above calculations, region A has the highest demand matching degree of 0.4, and therefore, region A is selected as the first choice region. If multiple regions to be adjusted have the same and highest demand matching degree, for example, regions A and B both have a demand matching degree of 0.4, then it is necessary to further determine the first choice region based on the preset optimization weights.

[0089] Assume the preset optimization weights for uncovered demand areas 1 through 5 are 0.3, 0.5, 0.2, 0.4, and 0.1, respectively. Area A covers uncovered demand areas 1, 2, 3, and 5, with a total demand weight of 0.3 + 0.5 + 0.2 + 0.1 = 1.1; Area B covers uncovered demand areas 2, 3, and 4, with a total demand weight of 0.5 + 0.2 + 0.4 = 1.1. Since the sum of demand weights for both areas is the same, either Area A or Area B can be randomly selected as the first selection area, or determined according to other preset rules (such as area size).

[0090] After determining the first selected region, a comparison process is performed between this region and the remaining regions to be adjusted to obtain a second optimized region set. Region A is taken as the first selected region, and the remaining regions to be adjusted are Region B and Region C. Each functional area of ​​Region A is compared with each functional area of ​​Region B and Region C to obtain non-overlapping regions.

[0091] For example, functional areas in region A partially overlap with those in region B on the right side of the base plate, but do not overlap with functional areas in region C on the lower left corner of the base plate. Region C has 6 functional areas that do not overlap with region A, covering uncovered demand areas 1, 4, and 5, for a coverage count of 3, resulting in a demand matching degree of 3 ÷ 6 = 0.5. Region B has 3 functional areas that do not overlap with those in region A, covering uncovered demand area 4, for a coverage count of 1, resulting in a demand matching degree of 1 ÷ 3 ≈ 0.333. In this case, the non-overlapping area in region C with the highest demand matching degree is selected as the second selection area.

[0092] The comparison operation is repeated based on the second selected region (the non-overlapping region of region C) and the remaining non-overlapping regions (if any). Assuming that there are still unprocessed functional regions in the remaining regions to be adjusted, the functional regions of the currently selected region are compared with the functional regions of the remaining regions to be adjusted to obtain new non-overlapping regions. The region with the highest demand matching degree is selected as the new second selected region, until no region can be selected.

[0093] Throughout the process, it is crucial to accurately count the total number of functional areas in each area to be adjusted to avoid omissions or miscalculations. For example, if the total number of functional areas in area C is 12, and after comparison with area A, the number of non-overlapping functional areas is 6, the accuracy of this value must be ensured. Simultaneously, the coverage count of uncovered demand areas must also be precise. For instance, whether area A truly covers 4 uncovered demand areas needs to be confirmed through detailed spatial location comparisons.

[0094] The preset optimization weights should be set based on the performance impact of each area of ​​the base plate. For example, the uncovered area 2 has a greater impact on the heat dissipation performance of the base plate, so it is given a higher weight of 0.5, while area 5 has a smaller impact and is given a weight of 0.1. In this way, when the degree of demand matching is the same, the sum of the demand weights can more accurately reflect the optimization priority of the areas.

[0095] As illustrated by the above example, the calculation of demand matching degree must strictly follow the logic of "number of uncovered demand areas ÷ total number of functional areas to be adjusted". Subsequent area selection is based on a comparison of the sum of demand matching degree or demand weights. Each step must consider the specific location, functional distribution, and preset parameters to ensure the scientific nature of the selection process. Ultimately, the selected areas are combined into a second set of optimized areas, providing a clear regional scope for the structural optimization of the backlight base plate.

[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0097] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing the structure of a laptop backlight base plate, characterized in that, The method includes: Obtain the initial structural parameters of the laptop backlight base plate, including the base plate thickness distribution, support point positions and heat dissipation hole layout, and the backlight base plate includes multiple functional areas; Based on the initial structural parameters, the performance requirement level of each functional area is identified. In the case of multiple high-performance requirement areas, the area ratio of each high-performance requirement area is calculated. Based on the multiple functional areas of the high-performance requirement areas and the area ratio, a first set of optimized areas is obtained through screening. Multiple functional areas outside the first set of optimized areas are identified as areas to be adjusted. Based on the first set of optimized regions and the multiple functional regions, multiple uncovered demand regions are determined. Based on the multiple uncovered demand regions and the multiple regions to be adjusted, a second set of optimized regions is obtained through screening. The first set of optimized regions and the second set of optimized regions are merged to obtain the final optimized region for structural optimization of the backlight base plate. The second optimized region set is obtained by filtering based on multiple uncovered demand areas and multiple areas to be adjusted, including: The multiple uncovered demand areas are compared with the functional areas of the multiple areas to be adjusted. The demand matching degree of each area to be adjusted is determined according to the comparison results. The area to be adjusted with the highest demand matching degree is determined as the first selected area. A second set of optimized regions is obtained by comparing the first selected region and the remaining regions to be adjusted. When there are multiple regions to be adjusted with the highest demand matching degree, the method for determining the first selected region includes: Obtain the preset optimization weights of each uncovered demand area in each of the adjustment areas with the highest demand matching degree, calculate the sum of demand weights of each of the adjustment areas with the highest demand matching degree based on the preset optimization weights, and determine the adjustment area with the highest sum of demand weights as the first selected area. The step of comparing the first selected region and the remaining regions to be adjusted to obtain the second optimized region set includes: The functional areas of the first selected area are compared with the functional areas of the remaining areas to be adjusted to obtain multiple non-overlapping areas. The non-overlapping area with the highest demand matching degree is determined as the second selected area. Based on the second selected region and the remaining non-overlapping regions, the process of comparing each functional region of the first selected region with each functional region of the remaining region to be adjusted is repeated to obtain multiple non-overlapping regions. The non-overlapping region with the highest demand matching degree is determined as the second selected region until no region is available. The selected regions are then combined into a second optimized region set.

2. The method for optimizing the backlight base plate structure of a laptop computer according to claim 1, characterized in that, The first optimized region set is obtained by filtering multiple functional regions and their area proportions based on the high-performance demand region, including: The region with the largest proportion in the high-performance demand region is determined based on the area proportion, and the region with the largest proportion is determined as the first optimization region. The first optimization region and the remaining high-performance demand regions are compared to obtain the first optimization region set.

3. The method for optimizing the backlight base plate structure of a laptop computer according to claim 2, characterized in that, When there are multiple regions with the largest proportion, the method for determining the first optimized region includes: The functional areas of each of the maximum proportion areas are compared and overlapped. If there are overlapping areas in each of the maximum proportion areas, the support strength value of each of the maximum proportion areas is obtained. The maximum proportion area with the highest support strength value is determined as the first optimization area. In the case of a maximum proportion of non-overlapping regions, if there is only one maximum proportion of non-overlapping regions, the maximum proportion of non-overlapping regions is determined as the first optimized region. If there are multiple maximum proportions of non-overlapping regions, one maximum proportion of non-overlapping regions is randomly selected as the first optimized region.

4. The method for optimizing the backlight base plate structure of a laptop computer according to claim 2, characterized in that, The first set of optimized regions is obtained by comparing the first optimized region with the remaining high-performance demand regions, including: The functional regions of the first optimization region are compared with the functional regions of the remaining high-performance demand regions to obtain multiple non-overlapping regions. The non-overlapping region with the largest area ratio is determined as the second optimization region. Based on the second optimized region and the remaining non-overlapping regions, the process of comparing each functional region of the first optimized region with each functional region of the remaining high-performance demand region is repeated to obtain multiple non-overlapping regions. The non-overlapping region with the largest area ratio is determined as the second optimized region until no region can be selected. The optimized regions are then combined into a first optimized region set.

5. The method for optimizing the backlight base plate structure of a laptop computer according to claim 1, characterized in that, When the initial structural parameters do not meet the pre-stored base plate structure optimization criteria, and it is determined that the support structure needs to be adjusted, the method includes: Multiple regions to be enhanced are obtained. The functional area of ​​each region to be enhanced is compared with the multiple regions to be enhanced to obtain each coverage enhancement area of ​​each region to be enhanced. The region to be enhanced with the most coverage enhancement areas is determined as the first selected region. The coverage enhancement regions of the first selected region are compared with the coverage enhancement regions of the remaining regions to be adjusted to obtain multiple non-overlapping regions. The non-overlapping region with the most coverage enhancement regions is determined as the second selected region. Based on the second selected area and the remaining non-overlapping areas, the process of comparing each coverage enhancement area of ​​the first selected area with each coverage enhancement area of ​​the remaining area to be adjusted is repeated to obtain multiple non-overlapping areas. The non-overlapping area with the most coverage enhancement areas is determined as the second selected area until no area is available. The selected areas are combined into a set of support adjustment areas for adjusting the support structure and optimizing the structure of the backlight base plate through the adjusted support structure.

6. The method for optimizing the backlight base plate structure of a laptop computer according to claim 1, characterized in that, The process of obtaining the initial structural parameters of the laptop backlight base plate includes: The actual contour data of the backlight base plate is collected by a 3D scanning device. Combined with the design drawings, the measured values ​​of the base plate thickness distribution, the coordinate values ​​of the support point positions, and the hole diameter and spacing values ​​of the heat dissipation hole layout are extracted. The measured values, coordinate values, and hole diameter and spacing values ​​are combined into the initial structural parameters.

7. The method for optimizing the backlight base plate structure of a laptop computer according to claim 1, characterized in that, The step of determining the demand matching degree of each of the regions to be adjusted based on the comparison results includes: The number of uncovered demand areas covered in each of the regions to be adjusted is counted, and the ratio of the covered areas to the total number of functional areas in the regions to be adjusted is calculated. This ratio is used as the demand matching degree.

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