Notebook computer backlight source bottom plate structure optimization method

Abstract

The invention relates to the technical field of backlight source bottom plate optimization, and discloses a notebook computer backlight source bottom plate structure optimization method, which comprises the following steps: obtaining initial structure parameters of a backlight source bottom plate, including bottom plate thickness distribution, supporting point positions and heat dissipation hole layout, the bottom plate comprising a plurality of functional areas; identifying the performance demand level of each functional region according to the initial structure parameters, when a plurality of high-performance demand regions exist, counting the area proportion of the high-performance demand regions, screening to obtain a first optimized region set, and taking the rest as to-be-adjusted regions; determining an uncovered demand area, and screening by combining the to-be-adjusted area to obtain a second optimized area set; and combining the two to obtain a final optimization region for structure optimization. According to the method, the optimized area is accurately positioned through multi-round screening, the multi-area performance requirement is considered, the adaptability of the bottom plate structure and the requirement is improved, and the backlight source bottom plate structure can be effectively optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of backlight bottom plate optimization, in particular to a notebook computer backlight bottom plate structure optimization method. BACKGROUND

[0002] With the rapid development of notebook computers towards light and thin, high performance, as the core component of the display module, the stability, heat dissipation and support strength of the backlight bottom plate structure directly affect the display effect and service life of the whole machine. The backlight bottom plate needs to meet the multi-dimensional performance requirements, for example, in terms of support, it needs to provide stable support for the light guide plate, light bar and other elements in the backlight module, to avoid uneven display caused by deformation; in terms of heat dissipation, it needs to dissipate the heat generated by the light bar through reasonable layout of the heat dissipation holes in time, to prevent high temperature from affecting the luminous efficiency and life of the LED lamp; in terms of light weight, it needs to reduce the thickness of the bottom plate under the premise of ensuring performance, to meet the light and thin design requirements of notebook computers.

[0003] The traditional backlight bottom plate structure design adopts unified parameter configuration, that is, the same thickness distribution, support point density and heat dissipation hole layout are adopted for the whole bottom plate. Although this design method can simplify the production process, it is difficult to adapt to the differentiated needs of different functional areas of the bottom plate. For example, the area near the light bar has higher heat dissipation demand, and if the same heat dissipation hole layout as other areas is adopted, it may lead to insufficient heat dissipation; and the middle area of the light guide plate requires higher support strength, and if the same thickness design is used, it may cause deformation due to insufficient local strength.

[0004] The existing optimization method lacks systematization in area screening, often only determines the optimization area according to a single performance indicator (such as the maximum area ratio), ignoring the demand correlation of different functional areas. When there are multiple high-performance demand areas, it is easy to overlap the optimization areas or miss the key areas, resulting in performance short boards in the optimized structure. At the same time, the traditional method is not accurate enough in calculating the matching degree of the areas not covered by the demand and the areas to be adjusted, and it is difficult to compensate for the performance gap through optimization of the areas to be adjusted, ultimately affecting the overall performance of the bottom plate.

[0005] With the increasing requirements of users on the display quality and use experience of notebook computers, the structure optimization of the backlight bottom plate needs to balance the multi-area and multi-performance requirements. Therefore, how to establish a method that can accurately identify the functional area demand, scientifically screen the optimization area, and realize the collaborative optimization of multiple areas has become a technical problem to be solved in the current backlight bottom plate design field. SUMMARY

[0006] The purpose of the present application is to provide a notebook computer backlight bottom plate structure optimization method to solve the problems raised in the background.

[0007] To achieve the above object, the application provides a method for optimizing the structure of a notebook computer backlight source bottom plate, which comprises the following steps:

[0008] Obtaining initial structure parameters of a notebook computer backlight source bottom plate, wherein the initial structure parameters include bottom plate thickness distribution, support point position and heat dissipation hole layout, and the backlight source bottom plate comprises a plurality of functional areas;

[0009] According to the initial structure parameters, the performance requirement level of each functional area is identified. In the case of multiple high-performance requirement areas, the area proportion of each high-performance requirement area is counted. The functional areas of the high-performance requirement areas and the area proportion are screened to obtain a first optimization area set. The functional areas outside the first optimization area set are determined as adjustment areas;

[0010] According to the first optimization area set and the functional areas, a plurality of uncovered requirement areas are determined. The uncovered requirement areas and the adjustment areas are screened to obtain a second optimization area set. The first optimization area set and the second optimization area set are combined to obtain a final optimization area, which is used for the structure optimization of the backlight source bottom plate.

[0011] Preferably, the screening of the functional areas of the high-performance requirement areas and the area proportion to obtain the first optimization area set comprises:

[0012] According to the area proportion, the maximum proportion area in the high-performance requirement areas is determined as the first optimization area. The first optimization area and the remaining high-performance requirement areas are compared to obtain the first optimization area set.

[0013] Preferably, in the case of multiple maximum proportion areas, the method for determining the first optimization area comprises:

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

[0015] In the case of maximum proportion areas without overlapping areas, when there is only one maximum proportion area without overlapping areas, the maximum proportion area without overlapping areas is determined as the first optimization area. When there are multiple maximum proportion areas without overlapping areas, one of the maximum proportion areas without overlapping areas is randomly selected as the first optimization area.

[0016] Preferably, the comparison based on the first optimization area and the remaining high-performance requirement area obtains a first optimization area set, comprising:

[0017] The comparison of each functional area of the first optimization area with each functional area of the remaining high-performance requirement area obtains a plurality of non-overlapping areas, and the non-overlapping area with the largest area ratio is determined as a second optimization area.

[0018] The comparison of each functional area of the first optimization area with each functional area of the remaining high-performance requirement area is repeatedly performed based on the second optimization area and the remaining non-overlapping area until no area is selected, and each optimization area is combined into the first optimization area set.

[0019] Preferably, the screening based on the plurality of uncovered requirement areas and the plurality of to-be-adjusted areas obtains a second optimization area set, comprising:

[0020] The comparison of each functional area of the plurality of uncovered requirement areas with each functional area of the plurality of to-be-adjusted areas is performed respectively, the demand matching degree of each to-be-adjusted area is determined according to the comparison result, and the to-be-adjusted area with the highest demand matching degree is determined as a first selected area.

[0021] The comparison based on the first selected area and the remaining to-be-adjusted areas obtains a second optimization area set.

[0022] Preferably, in the case that there are a plurality of to-be-adjusted areas with the highest demand matching degree, the method for determining the first selected area comprises:

[0023] The preset optimization weight of each uncovered requirement area in each to-be-adjusted area with the highest demand matching degree is obtained, the sum of demand weights of each to-be-adjusted area with the highest demand matching degree is calculated according to the preset optimization weight, and the to-be-adjusted area with the highest sum of demand weights is determined as the first selected area.

[0024] Preferably, the comparison based on the first selected area and the remaining to-be-adjusted areas obtains a second optimization area set, comprising:

[0025] The comparison of each functional area of the first selected area with each functional area of the remaining to-be-adjusted areas obtains a plurality of non-overlapping areas, and the non-overlapping area with the largest demand matching degree is determined as a second selected area.

[0026] Repeating the comparison between each functional region of the first selected region and each functional region of the remaining to-be-adjusted region based on the second selected region and the remaining non-overlapping region to obtain a plurality of non-overlapping regions, and determining the non-overlapping region with the largest demand matching degree as the second selected region until no region is available for selection, and combining each selected region into a second optimized region set.

[0027] Preferably, in the case that none of the initial structure parameters meets the pre-stored bottom plate structure optimization standard and it is determined that the support structure needs to be adjusted, the method comprises the following steps of:

[0028] Obtaining a plurality of to-be-enhanced regions, comparing the functional region of each to-be-adjusted region with the plurality of to-be-enhanced regions to obtain each covered enhanced region of each to-be-adjusted region, and determining the to-be-adjusted region with the largest covered enhanced region as the first selected region.

[0029] Comparing each covered enhanced region of the first selected region with each covered enhanced region of the remaining to-be-adjusted region to obtain a plurality of non-overlapping regions, and determining the non-overlapping region with the largest covered enhanced region as the second selected region.

[0030] Repeating the comparison between each covered enhanced region of the first selected region and each covered enhanced region of the remaining to-be-adjusted region based on the second selected region and the remaining non-overlapping region to obtain a plurality of non-overlapping regions, and determining the non-overlapping region with the largest covered enhanced region as the second selected region until no region is available for selection, and combining each selected region into a support adjustment region set for adjusting the support structure and completing the structure optimization of the backlight source bottom plate through the adjusted support structure.

[0031] Preferably, the initial structure parameters of the notebook computer backlight source bottom plate comprise the following steps of:

[0032] Acquiring actual contour data of the backlight source bottom plate through a three-dimensional scanning device, combining a design drawing to extract a measured value of thickness distribution of the bottom plate, a coordinate value of a support point position and an aperture and spacing value of a heat dissipation hole layout, and combining the measured value, the coordinate value and the aperture and spacing value into the initial structure parameters.

[0033] Preferably, the demand matching degree of each to-be-adjusted region is determined according to the comparison result, and the method comprises the following steps of:

[0034] Counting the number of covered and uncovered demand regions in each to-be-adjusted region, calculating the ratio of the covered number to the total functional region number of the to-be-adjusted region, and taking the ratio as the demand matching degree.

[0035] Compared with the prior art, the notebook computer backlight source bottom plate structure optimization method has the following beneficial effects:

[0036] By obtaining the initial structure parameters and identifying the performance requirement level of each functional area, the differentiated needs of different areas of the bottom plate are accurately positioned, breaking the limitations of traditional unified design. When there are multiple high-performance requirement areas, by statistical area ratio and combined with multi-dimensional screening rules such as overlap comparison and support strength analysis, the first optimization area set is determined to ensure the priority optimization of key high-performance areas and avoid the omission or overlap problem caused by single index screening. For example, when multiple maximum ratio areas overlap, the optimal area is selected by comparing the support strength value, which not only ensures the performance of the core area, but also reduces the waste of optimization resources.

[0037] For the processing of uncovered demand areas and areas to be adjusted, the method calculates the demand matching degree and gradually screens out the second optimization area set to accurately compensate for performance gaps. The calculation of demand matching degree combines the ratio of coverage quantity to total area to ensure that the optimization of the area to be adjusted can maximize the satisfaction of uncovered demand, improving the balance of overall performance. At the same time, in the support structure adjustment scenario, the support adjustment area set is determined by comparing the number of coverage reinforcement areas, further enhancing the support stability of the bottom plate in key areas and reducing the risk of display failure caused by weak structure.

[0038] The method obtains the initial structure parameters by combining three-dimensional scanning with design drawings, ensuring the accuracy and comprehensiveness of the parameters, providing a reliable data foundation for subsequent optimization. The overall process determines the optimization area through multiple rounds of screening and merging, which not only covers the core high-performance requirement areas, but also compensates for potential performance short boards, so that the optimized bottom plate realizes coordinated improvement in thickness distribution, support strength, and heat dissipation efficiency, etc. Not only improves the display stability and service life of the backlight source, but also reduces material consumption while meeting performance requirements, in line with the development trend of lightweight and low-cost laptops. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 A working principle diagram of the notebook computer backlight source bottom plate structure optimization method described in the present application;

[0040] Figure 2 A flowchart for generating the first optimization area set;

[0041] Figure 3 A flowchart for screening the second optimization area set;

[0042] Figure 4 A flowchart for generating the second optimization area set;

[0043] Figure 5 A flowchart for generating the support structure adjustment area set. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0045] Please refer to Figures 1-5 The present application provides a notebook computer backlight source bottom plate structure optimization method, the method comprises.

[0046] Obtain the initial structure parameters of the notebook computer backlight source bottom plate, the initial structure parameters include the bottom plate thickness distribution, the support point position and the heat dissipation hole layout, and the backlight source bottom plate comprises a plurality of functional areas. Specifically, the actual profile data of the backlight source bottom plate is collected by a three-dimensional scanning device, the measured values of the bottom plate thickness distribution, the coordinate values of the support point position and the aperture and spacing values of the heat dissipation hole layout are extracted in combination with design drawings, and the measured values, coordinate values and aperture and spacing values are combined into initial structure parameters.

[0047] According to the initial structure parameters, the performance requirement level of each functional area is identified, in the case of multiple high-performance requirement areas, the area proportion of each high-performance requirement area is counted, and the first optimization area set is obtained by screening processing based on the multiple functional areas of the high-performance requirement area and the area proportion, and the multiple functional areas outside the first optimization area set are determined as the adjustment area.

[0048] According to the first optimization area set and the multiple functional areas, multiple uncovered demand areas are determined, and the second optimization area set is obtained by screening processing based on the multiple uncovered demand areas and the multiple adjustment areas, and the first optimization area set and the second optimization area set are merged to obtain the final optimization area, which is used for the structure optimization of the backlight source bottom plate.

[0049] Embodiment 1: After obtaining the initial structure parameters of the notebook computer backlight source bottom plate, the screening processing of the first optimization area set is carried out. First, the maximum proportion area in the high-performance requirement area is determined according to the area proportion, and is taken as the first optimization area, and then the comparison processing is carried out based on the first optimization area and the remaining high-performance requirement area to obtain the first optimization area set.

[0050] When multiple maximum proportion areas exist, the first optimization area needs to be further determined. At this time, the function areas of each maximum proportion area are respectively subjected to area overlap comparison processing. In the case where an overlap area exists in each maximum proportion area, the support strength value of each maximum proportion area is obtained, which can be determined by relevant mechanical tests or design parameters, for example, referring to the mechanical performance index of the bottom plate material and the structural design characteristics of each area. Then, the maximum proportion area with the highest support strength value is determined as the first optimization area. When there is a maximum proportion area without an overlap area, if there is only one maximum proportion area without an overlap area, it is directly determined as the first optimization area; if there are multiple maximum proportion areas without an overlap area, one of them is randomly selected as the first optimization area.

[0051] After the first optimization area is determined, the function areas of the first optimization area and the function areas of the remaining high-performance demand areas are compared, and through such comparison operation, multiple non-overlapping areas can be obtained. In these non-overlapping areas, the area with the largest area proportion is determined as the second optimization area. Then, based on the second optimization area and the remaining non-overlapping areas, the operation of comparing the function areas of the first optimization area with the function areas of the remaining high-performance demand areas is repeatedly performed again, so as to obtain new multiple non-overlapping areas, and then the non-overlapping area with the largest area proportion is still determined as the new second optimization area. This cycle continues until there is no new area to choose. In this process, the optimization area determined each time needs to be recorded continuously, and finally all the determined optimization areas are combined to form a first optimization area set.

[0052] During the entire operation process, attention needs to be paid to accurate statistics and calculation of the area proportion of each area. For example, when the area proportion of the high-performance demand area is counted, the specific area size of each high-performance demand area and the total area of the backlight source bottom plate are determined, and the area proportion of each area is determined by the area ratio. For the overlap comparison processing of the area, the spatial position relationship of each function area is accurately analyzed to determine which areas overlap and which areas are non-overlapping. When the support strength value is determined, a reasonable standard and method are used to ensure that the obtained support strength value can accurately reflect the support ability of each maximum proportion area.

[0053] In the process of repeatedly performing the comparison and determining the second optimization region, each operation must strictly follow the previous steps to ensure that the second optimization region determined each time is the largest in area among the current remaining non-overlapping regions. In this way, after multiple screenings and determinations, the final first optimization region set can contain as many areas as possible that have a large area ratio and have a more important impact on the performance of the backlight bottom plate, thereby providing a more targeted optimization region range for subsequent structure optimization of the backlight bottom plate.

[0054] In addition, when processing multiple maximum area ratio regions, whether determining the first optimization region by support strength value or randomly selecting when there are multiple non-overlapping regions, the operation must be standardized and consistent to avoid deviations in the determination of the first optimization region due to human factors or non-standard operations. At the same time, during the entire screening process, the operation details of each step must be recorded in detail, including the area data of each region, the overlap situation, the support strength value, etc., so as to check and verify the rationality of the first optimization region set subsequently.

[0055] Through the above series of detailed operation steps, the first optimization region set can be reasonably screened from the high-performance demand region to provide an important basis for the structure optimization of the backlight bottom plate. In this process, each link is closely connected, and each step of operation must be taken seriously to ensure that the final first optimization region set can meet the actual needs of the structure optimization of the backlight bottom plate.

[0056] In the process of screening and processing based on multiple uncovered demand regions and multiple regions to be adjusted to obtain the second optimization region set, the following detailed steps are implemented. First, compare each functional region of the multiple uncovered demand regions and the multiple regions to be adjusted, calculate the ratio of the number of uncovered demand regions covered in each region to be adjusted to the total number of functional regions in the region to be adjusted, and determine the demand matching degree of each region to be adjusted, and then determine the region to be adjusted with the highest demand matching degree as the first selected region.

[0057] When performing the comparison process, the specific location and range of each uncovered demand region and the functional region distribution of each region to be adjusted must be clear. For example, assume that there are 5 uncovered demand regions, labeled A, B, C, D, and E, and each region to be adjusted contains several functional regions. For a region to be adjusted X, the total number of functional regions is 10, and in the comparison process, it is found that the functional regions cover the uncovered demand regions A, B, and C, so the number of covered regions is 3, and the demand matching degree is 3 ÷ 10 = 0.3. By performing such statistics and calculations on all regions to be adjusted, the demand matching degree value of each region to be adjusted can be obtained.

[0058] When there are multiple regions with the highest demand matching degree, further determination of the first selected region is needed. At this time, the preset optimization weight of each uncovered demand region in each region with the highest demand matching degree is obtained. The preset optimization weight is a value pre-set according to the importance of each uncovered demand region in the optimization of the backlight bottom plate structure, for example, different uncovered demand regions may be assigned different weight values due to their different influences on the performance of the bottom plate. Then, the sum of the demand weights of each region with the highest demand matching degree is calculated according to these preset optimization weights. For example, the demand matching degrees of regions Y and Z are both the highest value 0.4, region Y covers uncovered demand regions A (weight 0.5) and B (weight 0.3), and the sum of the demand weights is 0.5+0.3=0.8; region Z covers uncovered demand regions A (weight 0.5) and C (weight 0.4), and the sum of the demand weights is 0.5+0.4=0.9, at this time, the region Y with a higher sum of demand weights is determined as the first selected region.

[0059] After the first selected region is determined, comparison processing based on the first selected region and the remaining regions to be adjusted is needed to obtain a second optimization region set. The specific operation is to compare each functional region of the first selected region with each functional region of the remaining regions to be adjusted, thereby obtaining multiple non-overlapping regions. In 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 regions covered by the non-overlapping region to the total number of functional regions of the region is calculated.

[0060] Based on the newly determined second selected region and the remaining non-overlapping regions, the above comparison operation is repeatedly performed: the functional regions of the current selected region (the first selected region or the determined second selected region) are compared with the functional regions of the remaining regions to be adjusted, new non-overlapping regions are obtained, and then the region with the highest demand matching degree is selected as the new second selected region. This cycle continues until there is no new region to select. In this process, each time the second selected region is determined, a comprehensive comparison and calculation of all remaining non-overlapping regions is ensured to ensure that the demand matching degree of the selected region is indeed the highest.

[0061] During the entire operation process, attention should be paid to the definition and division of the uncovered demand regions to ensure the accuracy of the range and position of each uncovered demand region. At the same time, the setting of the preset optimization weight needs to be based on reasonable basis, for example, according to the performance requirements, stress conditions and other factors of each region of the bottom plate to determine comprehensively, so as to ensure that in the case of the same demand matching degree, the region with more optimization value can be accurately selected through the sum of the demand weights.

[0062] In addition, when comparing the functional areas, the spatial positional relationship of each area is accurately analyzed to determine which areas overlap and which areas do not overlap, so as to avoid deviation in the judgment of non-overlapping areas due to inaccurate area division. The total number of functional areas of each to-be-adjusted area also needs to be accurately counted to ensure that the calculation result of the demand matching degree is accurate and reliable.

[0063] Through the above detailed steps, the areas with high demand matching degrees are gradually selected from the multiple to-be-adjusted areas, and finally the selected areas are combined into a second optimization area set. The areas in this set can better match the uncovered demand areas, so that optimization and adjustment are performed on these areas in the process of optimizing the structure of the backlight bottom plate to meet the performance requirements of the bottom plate. In the implementation process, each link needs to be strictly followed according to the operation process to ensure the scientificity and accuracy of the screening process and provide effective area range for subsequent structural optimization work.

[0064] Example 3: When none of the initial structure parameters meets the pre-stored bottom plate structure optimization standard, and it is determined that the support structure needs to be adjusted, the following steps are implemented to obtain a support adjustment area set.

[0065] A plurality of to-be-strengthened areas are obtained, which are determined according to the comparison and analysis of the bottom plate structure optimization standard and the initial structure parameters, for example, by analyzing the stress distribution of the bottom plate, the areas with insufficient support strength, etc. to determine the position and range of the to-be-strengthened areas.

[0066] The functional areas of each to-be-adjusted area are compared with the plurality of to-be-strengthened areas. In the comparison process, the specific position and range of the functional areas of each to-be-adjusted area, and the position and range of each to-be-strengthened area need to be determined. Through the comparison of the spatial positions, it is determined which to-be-strengthened areas are covered by the functional areas of each to-be-adjusted area, so as to obtain each covered strengthened area of each to-be-adjusted area. Then, the number of strengthened areas covered by each to-be-adjusted area is counted, and the to-be-adjusted area covering the most strengthened areas is determined as the first selected area.

[0067] For example, assuming that there are 3 to-be-adjusted areas, M, N, and O, and 4 to-be-strengthened areas, P, Q, R, and S. The functional areas of the to-be-adjusted area M cover P, Q, and R, with a coverage number of 3; the functional areas of the to-be-adjusted area N cover Q and R, with a coverage number of 2; and the functional areas of the to-be-adjusted area O cover P, R, and S, with a coverage number of 3. At this time, the to-be-adjusted areas M and O cover the same number of strengthened areas and have the maximum number, so either one of them can be selected as the first selected area, or further determined according to other preset rules (such as area size, etc.). Here, it is assumed that M is selected as the first selected area.

[0068] After the first selected region is determined, the coverage reinforcement regions of the first selected region are compared with the coverage reinforcement regions of the remaining to-be-adjusted regions to obtain a plurality of non-overlapping regions. The non-overlapping region here refers to a part in the coverage reinforcement regions of the remaining to-be-adjusted regions that does not overlap with the coverage reinforcement regions of the first selected region. For example, the coverage reinforcement regions of the first selected region M are P, Q, and R, and the coverage reinforcement regions of the remaining to-be-adjusted region O are P, R, and S. After comparison, the coverage reinforcement region S of O that does not overlap with M forms a non-overlapping region. If there is a remaining to-be-adjusted region N, the coverage reinforcement regions of N are Q and R, which overlap with the coverage reinforcement regions Q and R of M, and there is no non-overlapping region.

[0069] In the obtained plurality of non-overlapping regions, the non-overlapping region with the most coverage reinforcement regions is determined as a second selected region. If there are a plurality of non-overlapping regions with the same number of coverage reinforcement regions, the processing can be performed in a similar manner as determining the first selected region, such as random selection or reference to other preset rules. Assuming that there is only the S region of O in the non-overlapping regions, the number of coverage reinforcement regions is 1, and the region is determined as the second selected region.

[0070] Based on the second selected region and the remaining non-overlapping regions, the comparison operation described above is repeatedly performed: the coverage reinforcement regions of the current selected region (the first selected region or the determined second selected region) are compared with the coverage reinforcement regions of the remaining to-be-adjusted regions to obtain new non-overlapping regions, and then the non-overlapping region with the most coverage reinforcement regions is selected as a new second selected region. This cycle continues until there is no new region to be selected.

[0071] In each comparison process, the coverage reinforcement region situation of each to-be-adjusted region and the formation process of the non-overlapping region need to be accurately recorded. For example, in the second comparison, the second selected region is the S region of O, and there can be no other to-be-adjusted region to be processed, or there can be other regions that need to continue to be compared. The actual situation needs to be operated. After each new selected region is determined, it is included in the support adjustment region set, and the range of the remaining to-be-adjusted region and the non-overlapping region is updated.

[0072] In the entire operation process, the determination of the to-be-reinforced region needs to be based on reasonable standards and methods to ensure that these regions are indeed parts of the bottom plate support structure that need to be reinforced. For example, the stress situation of the bottom plate under different working conditions can be simulated by finite element analysis and other methods to find out the regions with insufficient support strength as to-be-reinforced regions. At the same time, when comparing the functional regions of the to-be-adjusted regions and the to-be-reinforced regions, the spatial position comparison needs to be accurate to avoid errors in the statistics of the coverage reinforcement regions due to inaccurate region division.

[0073] In addition, for the statistics of the number of covered reinforced areas, the actual number of covered areas to be reinforced should be strictly followed, and no omission or repeated calculation should be allowed. When determining the selected area, whether it is the first selected area or the subsequent second selected area, the selected area should cover the maximum number of reinforced areas under the current conditions to ensure that the support adjustment area set can contain as many key areas as possible that need to be reinforced.

[0074] Through the above steps, the areas to be adjusted that cover more reinforced areas are gradually screened out and combined into a support adjustment area set. The areas in this set will be used to support the adjustment of the structure, and by optimizing the support structure of these areas, such as adjusting the position of the support point and increasing the support strength, the overall support performance of the backlight bottom plate can be improved to meet the pre-stored bottom plate structure optimization standard. In the implementation process, each link needs to be operated in detail to ensure the accuracy and effectiveness of the support adjustment area set, and to provide reliable area basis for the structure optimization of the backlight bottom plate.

[0075] In embodiment 4, when obtaining the initial structure parameters of the notebook computer backlight bottom plate, specific devices and operation processes are needed to complete the task.

[0076] A three-dimensional scanning device is used to collect the actual contour data of the backlight bottom plate. Taking a laser scanner as an example, it is placed at a suitable distance from the bottom plate, usually between 30 cm and 1 m, to ensure that the laser beam of the scanner can completely cover the surface of the bottom plate. After turning on the scanner, the software provided by the device is used to control the scanner to rotate around the bottom plate or move the bottom plate within the field of view of the scanner to perform full-range scanning to obtain three-dimensional contour data of the bottom plate at various angles. During the scanning process, attention should be paid to the reflection of the bottom plate surface. If there are areas with strong reflection, a matte spray can be sprayed on the surface to improve the accuracy of the scanning data.

[0077] After scanning is completed, three-dimensional point cloud data of the bottom plate is obtained, which contains the spatial coordinate information of each point on the surface of the bottom plate. Next, the data is extracted and processed in combination with the design drawings. The design drawings usually contain detailed information about the various functional areas of the bottom plate, thickness distribution, support point position, and heat dissipation hole layout, etc. When extracting the measured values of the bottom plate thickness distribution, first determine the key positions on the bottom plate that need to be measured according to the design drawings, such as the center positions of different functional areas, edge positions, etc. Then, find the points corresponding to these key positions in the three-dimensional point cloud data, and calculate the distance of these points in the direction perpendicular to the surface of the bottom plate to obtain the thickness measurement values of the key positions. For example, the center position of the mainboard mounting area marked in the drawing is calculated to be 1.2 mm in thickness at this position.

[0078] For the extraction of coordinate values of support point positions, first determine the design position of the support point on the design drawing, usually taking the lower left corner of the base plate as the coordinate origin to establish a three-dimensional coordinate system. Then find the actual position of the support point in the three-dimensional point cloud data, and obtain the three-dimensional coordinate values (X, Y, Z) of that position through the software. For example, the design coordinate of a certain support point on the drawing is (100, 50, 0), and through positioning in the three-dimensional data, its actual coordinate is (100.2, 50.1, 0.1), which will be used as the support point position information in the initial structure parameters.

[0079] The extraction process of the hole diameter and spacing values of the heat dissipation hole layout is as follows: First, determine the distribution area of the heat dissipation holes and the design hole diameter of each heat dissipation hole and the design spacing between adjacent heat dissipation holes on the design drawing. Then find the actual position of the heat dissipation hole in the three-dimensional point cloud data, and measure the actual hole diameter of each heat dissipation hole through the software. For example, the hole diameter of a certain heat dissipation hole in the design drawing is 2 mm, and the actual measured hole diameter is 2.05 mm. For the spacing of the heat dissipation holes, measure the distance between the centers of two adjacent heat dissipation holes, for example, the design spacing is 5 mm, and 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 positions, and the hole diameter and spacing values of the heat dissipation hole layout, these data need to be sorted and verified. First, check whether each data is complete and whether there are missing measurement points or heat dissipation holes. Then, compare the extracted data with the theoretical values in the design drawing to see if there are large deviations. For example, whether the deviation of the measured value of the base plate thickness from the design value is within the allowable tolerance range, whether the coordinate deviation of the support point position will affect the support performance of the base plate, etc.

[0081] If deviations or omissions are found in the data, re-scanning or measurement is needed to ensure the accuracy of the initial structure parameters. For example, if the hole diameter measurement value of a certain heat dissipation hole deviates greatly from the design value, it may be that the point cloud data in that area is not complete enough during the scanning process, so the area needs to be scanned again, and then the hole diameter is measured again.

[0082] After sorting all the data, 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 combined to form complete initial structure parameters. These parameters will be stored in the form of a data table for easy use in subsequent structure optimization work. For example, in the table, the first column records the position of the base plate thickness measurement point, the second column records the corresponding thickness value; the third column records the number of the support point, the fourth and fifth columns record the X and Y coordinate values of the support point respectively; the sixth column records the number of the heat dissipation hole, the seventh column records the hole diameter value, and the eighth column records the spacing value with the adjacent heat dissipation hole.

[0083] Through the above detailed operation steps, the initial structure parameters of the notebook computer backlight bottom plate can be accurately obtained, providing a reliable data basis for the implementation of subsequent structure optimization methods. During the entire process, the operation of the three-dimensional scanning device, the interpretation of the design drawings, and the extraction and organization of the data all need to be strictly in accordance with the specifications to ensure the accuracy and completeness of the initial structure parameters, thereby ensuring the smooth development of the backlight bottom plate structure optimization work.

[0084] In the embodiment 5, the specific operation process and examples are used to explain the determination of the demand matching degree of each to-be-adjusted region according to the comparison result. It is assumed that there are multiple uncovered demand regions and to-be-adjusted regions in the backlight bottom plate. Taking five uncovered demand regions (labeled as region 1 to region 5) and three to-be-adjusted regions (labeled as region A, region B, and region C) as examples, the determination of the demand matching degree of each to-be-adjusted region is described in detail.

[0085] The specific position and range of each uncovered demand region on the bottom plate are determined, for example, region 1 is located at the upper left corner of the bottom plate with an area of 10 square centimeters, region 2 is located at the center of the bottom plate with an area of 15 square centimeters, and so on. At the same time, the functional region distribution of each to-be-adjusted region is determined, for example, region A contains 10 functional regions distributed on the right side of the bottom plate, region B contains 8 functional regions distributed in the middle of the bottom plate, and region C contains 12 functional regions distributed at the lower left corner of the bottom plate.

[0086] The functional regions of multiple uncovered demand regions and multiple to-be-adjusted regions are compared and processed respectively. Taking region A as an example, among its 10 functional regions, through spatial position comparison, it is found that 4 functional regions cover uncovered demand regions 1, 2, 3, and 5 respectively, i.e., the number of covered uncovered demand regions is 4. Then the demand matching degree of region A is calculated as the number of covered regions 4 divided by the total number of functional regions 10, obtaining a ratio of 0.4.

[0087] Similarly, region B is compared, among its 8 functional regions, it covers uncovered demand regions 2, 3, and 4, the number of covered regions is 3, and the demand matching degree is 3÷8=0.375. Among the 12 functional regions of region C, it covers uncovered demand regions 1, 3, 4, and 5, the number of covered regions is 4, and the demand matching degree is 4÷12≈0.333.

[0088] Through the above calculation, the demand matching degree of region A is 0.4, which is the highest. At this time, region A is determined as the first selected region. If multiple to-be-adjusted regions have the same highest demand matching degree, for example, the demand matching degrees of region A and region B are both 0.4, then the first selected region needs to be further determined according to the preset optimization weight.

[0089] Suppose the preset optimization weights of the uncovered demand areas 1 to 5 are 0.3, 0.5, 0.2, 0.4, and 0.1, respectively. Area A covers the uncovered demand areas 1, 2, 3, and 5, and the sum of the demand weights thereof is 0.3+0.5+0.2+0.1=1.1; Area B covers the uncovered demand areas 2, 3, and 4, and the sum of the demand weights thereof is 0.5+0.2+0.4=1.1. At this time, the sum of the demand weights of the two is the same, and Area A or Area B can be randomly selected as the first selected area, or determined according to other preset rules (such as the area size).

[0090] After the first selected area is determined, a comparison process is performed based on the area and the remaining to-be-adjusted areas to obtain a second optimization area set. Taking Area A as the first selected area, the remaining to-be-adjusted areas are Area B and Area C. The functional areas of Area A are compared with the functional areas of Area B and Area C to obtain non-overlapping areas.

[0091] For example, the functional areas of Area A and Area B partially overlap on the right side of the bottom plate, and the functional areas of Area A and Area C do not overlap at the lower left corner of the bottom plate. There are 6 functional areas in Area C that do not overlap with Area A, among which the uncovered demand areas 1, 4, and 5 are covered, the number of coverage is 3, and the demand matching degree is 3÷6=0.5. There are 3 functional areas in Area B that do not overlap with Area A, among which the uncovered demand area 4 is covered, the number of coverage is 1, and the demand matching degree is 1÷3≈0.333. At this time, the non-overlapping area of Area C with the largest demand matching degree is determined as the second selected area.

[0092] The comparison operation is repeatedly performed based on the second selected area (the non-overlapping area of Area C) and the remaining non-overlapping areas (if any). Suppose there are still functional areas in the remaining to-be-adjusted areas that have not been processed, the functional areas of the current selected area are continuously compared with the functional areas of the remaining to-be-adjusted areas to obtain new non-overlapping areas, and the area with the largest demand matching degree is selected as the new second selected area until no area can be selected.

[0093] In the entire process, the total number of functional areas of each to-be-adjusted area needs to be accurately counted to avoid omission or incorrect calculation. For example, the total number of functional areas of Area C is 12, and after comparison with Area A, the number of non-overlapping functional areas is 6, which needs to be ensured to be accurate. At the same time, the number of coverage of the uncovered demand areas also needs to be accurate, such as whether the number of uncovered demand areas covered by Area A is indeed 4, which needs to be confirmed through detailed spatial position comparison.

[0094] The preset optimization weights are based on the performance impact of each area of ​​the chassis. For example, uncovered area 2 has a greater impact on the chassis's heat dissipation performance, so it is assigned a higher weight of 0.5, while area 5 has a smaller impact and is assigned a weight of 0.1. This way, when the requirements match the same degree, the sum of the requirement weights can more accurately reflect the optimization priority of the areas.

[0095] As the above example demonstrates, the calculation of demand matching must strictly follow the logic of "number of uncovered demand areas covered / total number of functional areas to be adjusted." Subsequent selection of areas is based on a comparison of demand matching or the sum of demand weights. Each step must be considered in conjunction with the specific area location, functional distribution, and preset parameters to ensure a scientifically sound screening process. Ultimately, the selected areas are combined into a second set of optimized areas, providing a clear range of regions for backlight chassis structural optimization.

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

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

Claims

1. A method for optimizing the structure of a notebook computer backlight base plate, characterized in that: The method comprises: Obtaining initial structural parameters of a notebook computer backlight baseplate, the initial structural parameters including baseplate thickness distribution, support point positions, and heat dissipation hole layout, wherein the backlight baseplate includes multiple functional areas; Identifying the performance requirement level of each functional area according to the initial structural parameters; if there are multiple high-performance requirement areas, calculating the area ratio of each high-performance requirement area; performing screening based on the multiple functional areas and area ratios of the high-performance requirement areas to obtain a first optimized area set; and determining multiple functional areas outside the first optimized area set as areas to be adjusted; Based on the first optimization area set and the multiple functional areas, multiple uncovered demand areas are determined, and based on the multiple uncovered demand areas and the multiple areas to be adjusted, screening is performed to obtain a second optimization area set, and the first optimization area set and the second optimization area set are merged to obtain a final optimization area for use in the structural optimization of the backlight source base plate.

2. The method for optimizing the notebook computer backlight base plate structure according to claim 1, characterized in that: The first optimized area set is obtained by screening the plurality of functional areas and the area proportions based on the high-performance requirement area, including: The largest area in the high-performance demand area is determined according to the area proportion, and the largest area is determined as the first optimized area. The first optimized area and the remaining high-performance demand areas are compared to obtain a first optimized area set.

3. The method for optimizing the notebook computer backlight base plate structure according to claim 2, characterized in that: When there are multiple maximum-occupying areas, the method for determining the first optimized area includes: Performing a region overlap comparison process on the functional areas of each of the maximum-occupying regions, and when there are overlapping regions in each of the maximum-occupying regions, obtaining support strength values ​​of each of the maximum-occupying regions, and determining the maximum-occupying region with the highest support strength value as the first optimized region; In the case where there is a maximum occupying area of ​​a non-overlapping area, when the maximum occupying area of ​​the non-overlapping area is one, the maximum occupying area of ​​the non-overlapping area is determined as the first optimized area; when there are multiple maximum occupying areas of the non-overlapping area, one of the maximum occupying areas of the non-overlapping area is randomly selected and determined as the first optimized area.

4. The method for optimizing the notebook computer backlight base plate structure according to claim 2, wherein: The step of performing comparison processing based on the first optimized region and the remaining high-performance required regions to obtain a first optimized region set includes: Comparing each functional area of ​​the first optimized area with each functional area of ​​the remaining high-performance requirement area to obtain a plurality of non-overlapping areas, and determining the non-overlapping area with the largest area as the second optimized area; Based on the second optimization area and the remaining non-overlapping areas, the functional areas of the first optimization area are repeatedly compared with the functional areas of the remaining high-performance requirement areas to obtain multiple non-overlapping areas, and the non-overlapping area with the largest area is determined as the second optimization area until there is no area to be selected, and the various optimization areas are combined into a first optimization area set.

5. The method for optimizing the notebook computer backlight base plate structure according to any one of claims 1 to 4, characterized in that: The second optimized area set is obtained by screening the plurality of uncovered demand areas and the plurality of areas to be adjusted, including: Comparing the plurality of uncovered demand areas with the functional areas of the plurality of areas to be adjusted, determining the demand matching degree of each area to be adjusted according to the comparison results, and determining the area to be adjusted with the highest demand matching degree as the first selected area; A second optimized area set is obtained by performing a comparison process based on the first selected area and the remaining areas to be adjusted.

6. The method for optimizing the notebook computer backlight base plate structure according to claim 5, characterized in that: When there are multiple areas to be adjusted with the highest demand matching degree, a method for determining the first selected area includes: Obtain the preset optimization weights of each uncovered demand area in the areas to be adjusted with the highest demand matching degree, calculate the sum of the demand weights of each area to be adjusted with the highest demand matching degree according to the preset optimization weights, and determine the area to be adjusted with the highest sum of demand weights as the first selected area.

7. The method for optimizing the notebook computer backlight base plate structure according to claim 5, characterized in that: The obtaining of a second optimized region set by performing comparison processing based on the first selected region and the remaining regions to be adjusted includes: Comparing each functional area of ​​the first selected area with each functional area of ​​the remaining area to be adjusted to obtain a plurality of non-overlapping areas, and determining the non-overlapping area with the greatest degree of demand matching as the second selected area; Based on the second selected area and the remaining non-overlapping areas, the functional areas of the first selected area are repeatedly compared with the functional areas of the remaining areas to be adjusted to obtain multiple non-overlapping areas, and the non-overlapping area with the largest demand matching degree is determined as the second selected area until there is no area to be selected, and the selected areas are combined into a second optimized area set.

8. The method for optimizing the notebook computer backlight base plate structure according to claim 1, wherein: 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: Acquire multiple areas to be enhanced, compare the functional area of ​​each area to be adjusted with the multiple areas to be enhanced to obtain respective coverage enhancement areas of each area to be adjusted, and determine the area to be adjusted with the largest number of coverage enhancement areas as the first selected area; Comparing each coverage enhancement area of ​​the first selected area with each coverage enhancement area of ​​the remaining area to be adjusted to obtain a plurality of non-overlapping areas, and determining the non-overlapping area with the largest number of coverage enhancement areas as the second selected area; Based on the second selected area and the remaining non-overlapping areas, the respective coverage enhancement areas of the first selected area are repeatedly compared with the respective coverage enhancement areas of the remaining areas to be adjusted to obtain multiple non-overlapping areas, and the non-overlapping area with the most coverage enhancement areas is determined as the second selected area until there is no area to be selected, and the respective selected areas are combined into a support adjustment area set for use in adjusting the support structure and completing the structural optimization of the backlight source base plate through the adjusted support structure.

9. The method for optimizing the notebook computer backlight chassis structure according to claim 1, wherein: The obtaining of the initial structural parameters of the notebook computer backlight base plate includes: The actual contour data of the backlight source base plate is collected by a three-dimensional scanning device, and the measured value of the base plate thickness distribution, the coordinate value of the support point position, and the aperture and spacing values ​​of the heat dissipation hole layout are extracted in combination with the design drawings. The measured value, coordinate value, aperture and spacing values ​​are combined into the initial structural parameters.

10. The method for optimizing the notebook computer backlight base structure according to claim 5, characterized in that: Determining the demand matching degree of each of the to-be-adjusted areas according to the comparison results includes: The number of uncovered demand areas covered in each of the areas to be adjusted is counted, the ratio of the covered number to the total number of functional areas in the area to be adjusted is calculated, and the ratio is used as the demand matching degree.

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