Intelligent modification method, device and equipment of matching measurement support, and medium

By obtaining the positioning point information of the target vehicle model from the matching measurement bracket, matching it with the model database, generating a bracket reconstruction strategy and modifying it, the problem of inefficient reuse in the existing technology is solved, and low-cost and efficient bracket modification is achieved.

CN119669570BActive Publication Date: 2026-01-09ZHEJIANG GEELY HLDG GRP CO LTD +1
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Patent Information

Application Number
CN202411780723.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-05
Publication Date
2026-01-09
Estimated Expiration
2044-12-05

AI Technical Summary

Technical Problem

Existing technologies cannot efficiently reuse matching measurement brackets, leading to increased manufacturing costs and an inability to fully utilize enterprise inventory resources.

Method used

By obtaining the positioning point information of the target vehicle model, a fit matching is performed with the matching measurement bracket in the model database. Based on the adjusted parameters, a bracket reconstruction strategy is generated and modified.

Benefits of technology

This reduced the cost of modification, improved the utilization rate of matching measurement brackets, and enabled efficient use of inventory resources.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses an intelligent modification method, device and equipment of a matching measurement support and a medium. The method comprises the following steps: obtaining target positioning point information of a target vehicle model input by a user; performing fitness matching on the target positioning point information and a matching measurement support in a model database to determine a target matching measurement support; performing parameter adjustment on the target matching measurement support according to the target positioning point information, generating a support reconstruction strategy according to the adjusted parameters; and modifying the target matching measurement support according to the support reconstruction strategy. The method can solve the problem that the measurement support cannot be efficiently reused in the prior art.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent manufacturing, and in particular to an intelligent remanufacturing method, device and equipment for matching measurement support and a medium. BACKGROUND

[0002] With the rapid development of science and technology, the automobile industry is becoming increasingly competitive, and the development cycle of new vehicle models is rapidly shortened. Accordingly, the iteration speed of the whole vehicle matching measurement support is also accelerated. This trend has led to a large number of old vehicle model matching measurement support inventory, which has increased the manufacturing cost. Therefore, enterprises will match and modify the old vehicle model matching measurement support according to the new vehicle model to reduce costs. However, the computer-aided design software in the prior art usually only supports simple parameter updating to quickly complete the design of standard parts when remolding the measurement support, but for non-standard general-purpose parts in the matching measurement support, it still needs to be fully reprocessed, so that the existing inventory resources of the enterprise cannot be effectively utilized, resulting in unnecessary waste of manufacturing cost. The efficient reuse of matching measurement support still faces major challenges. SUMMARY

[0003] The embodiments of the present application provide an intelligent remanufacturing method, device, equipment and medium for matching measurement support, aiming to solve the problem that the measurement support cannot be efficiently reused in the prior art.

[0004] In a first aspect, the embodiments of the present application provide an intelligent remanufacturing method for matching measurement support, which comprises: acquiring target positioning point information of a target vehicle model input by a user; performing fit degree matching on the target positioning point information and matching measurement support in a model database to determine a target matching measurement support; performing parameter adjustment on the target matching measurement support according to the target positioning point information, generating a support reconstruction strategy according to the adjusted parameters; and remanufacturing the target matching measurement support according to the support reconstruction strategy.

[0005] In a second aspect, the embodiments of the present application further provide an intelligent remanufacturing device for matching measurement support, which comprises: an acquisition unit configured to acquire target positioning point information of a target vehicle model input by a user; a matching unit configured to perform fit degree matching on the target positioning point information and matching measurement support in a model database to determine a target matching measurement support; an adjustment unit configured to perform parameter adjustment on the target matching measurement support according to the target positioning point information, and generate a support reconstruction strategy according to the adjusted parameters; and a remanufacturing unit configured to remanufacture the target matching measurement support according to the support reconstruction strategy.

[0006] In a third aspect, the embodiments of the present application further provide a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the above method when executing the computer program.

[0007] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program comprises program instructions, and the program instructions can implement the above method when executed by a processor.

[0008] The embodiments of the present application provide a smart modification method, device, equipment and medium for matching measurement support. The method comprises: obtaining target positioning point information of a target vehicle model input by a user; performing matching degree matching on the target positioning point information and a matching measurement support in a model database to determine a target matching measurement support; performing parameter adjustment on the target matching measurement support according to the target positioning point information, generating a support reconstruction strategy according to the adjusted parameters; and modifying the target matching measurement support according to the support reconstruction strategy. The embodiments of the present application match the target positioning point information of the target vehicle model input by the user with the matching measurement support, determine the target matching measurement support according to the matching degree, reduce the parameters to be adjusted in the target matching measurement support, and thus reduce the modification cost. The target matching measurement support is adjusted according to the target positioning point information, a corresponding support adjustment strategy is generated to modify the matching measurement support, the matching measurement support in the inventory is modified at high utilization and low cost, and thus the old inventory of an automobile enterprise is fully utilized, and the matching measurement support is efficiently utilized. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0010] Figure 1 The flowchart of the smart modification method for matching measurement support provided by the embodiments of the present application is shown in the figure.

[0011] Figure 2 The sub-flowchart of the smart modification method for matching measurement support provided by the embodiments of the present application is shown in the figure.

[0012] Figure 3 The sub-flowchart of the smart modification method for matching measurement support provided by the embodiments of the present application is shown in the figure.

[0013] Figure 4A sub-flow schematic diagram of the intelligent modification method for matching the measurement support provided by the embodiment of the present application is shown in FIG. 1.

[0014] Figure 5 A sub-flow schematic diagram of the intelligent modification method for matching the measurement support provided by the embodiment of the present application is shown in FIG. 1.

[0015] Figure 6 A sub-flow schematic diagram of the intelligent modification method for matching the measurement support provided by the embodiment of the present application is shown in FIG. 1.

[0016] Figure 7 A sub-flow schematic diagram of the intelligent modification method for matching the measurement support provided by the embodiment of the present application is shown in FIG. 1.

[0017] Figure 8 A schematic block diagram of the intelligent modification device for matching the measurement support provided by the embodiment of the present application is shown in FIG. 1.

[0018] Figure 9 A schematic block diagram of the computer device provided by the embodiment of the present application is shown in FIG. 1. DETAILED DESCRIPTION

[0019] 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 some 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 those of ordinary skill in the art without creative work fall within the scope of the present application.

[0020] It should be understood that, when used in the specification and the appended claims, the terms “comprise” and “include” indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0021] It should also be understood that the terms used in the present application specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the present application specification and the appended claims, unless otherwise clearly indicated by the context, the singular forms “a”, “an” and “the” are intended to include the plural forms.

[0022] It should be further understood that the term “and / or” used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0023] Please refer to Figure 1 , Figure 1A flowchart of an intelligent modification method of a matching measurement support provided by an embodiment of the present application is shown. The intelligent modification method of the matching measurement support in this embodiment can be applied to the modification of the matching measurement support in an automobile enterprise. Through the intelligent matching module and the physical management module developed by the enterprise based on Web network technology and database development technology, the improvement and use process of the target matching measurement support and the supervision support can be quickly determined. Based on the secondary development interface provided by mainstream CAD / CAE / CAM software in the automobile industry such as CATIA and UG, the core algorithm is developed based on the related technical standards and knowledge base of the enterprise to develop an external control program to build an intelligent design module to generate a modification scheme for the modification of the target matching measurement support. Thus, seamless docking and conversion between the matching measurement support and the physical management in the three-dimensional design software is realized, and the work originally manually operated by the human is changed to automatic execution by the program, and the matching measurement support is efficiently reused.

[0024] Figure 1 A flowchart of an intelligent modification method of a matching measurement support provided by an embodiment of the present application is shown. As shown in the figure, the method includes the following steps S110-S140.

[0025] S110, obtaining target positioning point information of a target vehicle model input by a user.

[0026] In this embodiment, the target vehicle model is a newly developed vehicle model, that is, the matching measurement support needs to be modified into the form required by the target vehicle model, and the target positioning point information is RPS point information in the target vehicle model, wherein the RPS (Reference Point System) is a positioning point system mainly used to ensure the accuracy and efficiency in the process of automobile design and manufacturing. The RPS system ensures the dimensional stability and functional stability of parts by using a series of positioning reference points in the process of automobile design and manufacturing. Each positioning reference point in the RPS system is called an RPS point. These points are determined in the product design stage and run through the entire manufacturing and assembly process. The target positioning point information of the target vehicle model input by the user is obtained. Specifically, the user can input the RPS information of the target vehicle model in the preset interactive page to obtain the target positioning point information. By obtaining the target positioning point information input by the user, the target matching measurement support can be matched according to the target positioning point information.

[0027] S120, matching the target positioning point information with the matching measurement support in the model database to determine the target matching measurement support.

[0028] In the embodiment, the model database is constructed according to matching measurement supports in the inventory, and contains all matching measurement supports in the inventory. The matching measurement support, usually simply referred to as a measurement support, is a special inspection equipment for measuring and evaluating the size quality of a part, and is usually used as an auxiliary support when a three-coordinate measuring machine measures a part. The structure and size of the measurement support are usually customized according to the specific requirements of the measured part, so that when the measured part changes, the customized matching measurement support becomes a discarded support, and therefore the matching measurement support needs to be modified for reuse. The target positioning point information is matched with the matching measurement supports in the model database in terms of fitness, and specifically, the fitness of various matching measurement supports to the target positioning point information can be obtained according to a core algorithm, and a list sorted according to the fitness is output for a user to select a target matching measurement support or to use a default selection item to select the matching measurement support with the highest fitness as the target matching measurement support. By matching the target positioning point information with the matching measurement supports in terms of fitness, the matching measurement support that needs to be changed the least is determined, so that the matching measurement support is modified at low cost and high efficiency.

[0029] In an embodiment, as shown in FIG. 12, the step S120 includes steps S121-S124. Figure 2

[0030] S121, deviation calculation is performed on other positioning point coordinates in the target positioning point information and the main positioning point coordinates to obtain a plurality of first relative coordinate deviation values;

[0031] S122, deviation calculation is performed on the positioning point coordinates in the matching measurement support to obtain a plurality of second relative coordinate deviation values;

[0032] S123, fitness calculation is performed on the first relative coordinate deviation and the second relative coordinate deviation corresponding thereto to obtain a plurality of fitness indexes;

[0033] S124, the fitness indexes are aggregated according to a preset weight to obtain the fitness of the matching measurement support to the target vehicle, and the target matching measurement support is determined according to the fitness.

[0034] ​In the embodiment, the main locating point refers to a locating point playing a leading role in a locating point system, and is usually used to determine the main position and direction of a workpiece or a component. The main locating point is set by a developer according to enterprise standards, and the coordinate of the main locating point and the coordinates of other locating points are included in the target locating point information. Deviation calculation is performed on the coordinates of the other locating points and the coordinate of the main locating point in the target locating point information to obtain a plurality of first relative coordinate deviation values. Specifically, the main locating point has coordinate information in X, Y and Z directions, and deviation calculation is performed on the coordinates of the other locating points and the coordinate of the main locating point according to the determined main locating point information to obtain first relative coordinate deviation values in X, Y and Z directions. Specifically, the RPS point information of a target vehicle model A is shown in the table:

[0035]

[0036] wherein X, Y and Z are coordinate information directions, L2 is set as the main locating point in advance, and then deviation calculation is performed on other locating points L1, L3 and L4 according to L2, that is, a plurality of first relative coordinate deviation values generated after calculation are as follows:

[0037]

[0038]

[0039] The first relative coordinate deviation value corresponding to other positioning point coordinates (L1, L3, L4) is (dX, dY, dZ). The deviation calculation is performed on the positioning point coordinates in the matching measurement support, and the deviation calculation process is the same as that in the target positioning point, which will not be repeated here. A plurality of second relative coordinate deviation values corresponding to each matching measurement support in the inventory are obtained by performing deviation calculation, and it should be noted that the main positioning point in the matching measurement support is the same as the main positioning point in the target positioning point information, and the only difference is the coordinate information of the positioning point, for example, L2 is the main positioning point in the target positioning point information, and the corresponding L2 in the matching measurement support is also the main positioning point. The fitting degree calculation is performed on the first relative coordinate deviation and the corresponding second relative coordinate deviation to obtain the corresponding fitting degree index, for example, there are three other positioning point coordinates L1, L3 and L4 in the target vehicle A, and there are three other positioning point coordinates La, Lb and Ld in the matching measurement support. The fitting degree index of L1 and its corresponding La, the fitting degree index of L3 and its corresponding Lb, and the fitting degree index of L4 and its corresponding Ld are obtained, respectively. According to the fitting degree index corresponding to L1, L3 and L4, the final fitting degree of the target vehicle A and all matching measurement supports is obtained according to the preset weight. And according to the fitting degree, the final target matching measurement support is determined, wherein the fitting degrees can be sorted in descending order to generate a corresponding fitting degree matching table, and the matching measurement support with the highest fitting degree is determined as the target matching measurement support, or the target matching measurement support is determined according to the measurement support selected by the user in the fitting degree matching table. The fitting degree of various matching measurement supports and target positioning point information is obtained to determine the target matching measurement support, thereby reducing the modification degree of the matching measurement support, reducing the modification cost and improving the utilization rate.

[0040] In an embodiment, as shown in FIG. 12, the step S123 includes steps S1231-S1233. Figure 3

[0041] S1231, obtaining the coordinate difference between the first relative coordinate deviation value and the corresponding second relative coordinate deviation value;

[0042] S1232, calculating the remainder according to the preset first step distance in the corresponding coordinate direction to obtain the corresponding remainder;

[0043] S1233, square sum calculation is performed on the remainder to obtain the fitting degree index.

[0044] ​In the embodiment, the specific process of the fitting degree calculation is as follows: obtaining the coordinate difference between the first relative coordinate deviation value and the corresponding second relative coordinate deviation value, specifically, calculating the difference between the first relative coordinate deviation value (dX, dY, dZ) corresponding to L1, L3 and L4 and the second relative coordinate deviation value (dx, dy, dz) of La, Lb and Ld corresponding thereto, to obtain the coordinate difference (dX-dx, dY-dy, dZ-dz), and performing the remainder calculation on the coordinate difference according to the preset first step distance in the corresponding coordinate direction, wherein the preset first step distance refers to a reference or reference quantity for determining position, size or accuracy. The step distance can be set according to the specific enterprise standard, and is not limited. The coordinate difference is calculated by taking the remainder of the coordinate difference in the corresponding coordinate direction, for example, dX-dx / step distance, to obtain the remainder, and the calculation of the other two coordinate directions is the same, which is not described here. The remainders are squared and summed to obtain the fitting degree index, specifically, the remainders of X, Y and Z coordinate information directions are squared and summed to obtain the corresponding fitting degree index. By obtaining the coordinate difference between the first relative coordinate deviation value and the corresponding second relative coordinate deviation value, and performing the remainder calculation and square sum calculation on the coordinate difference, the final fitting degree index of the positioning point is obtained, so as to determine the target matching measurement support according to the fitting degree index to modify it.

[0045] S130, according to the target positioning point information, the target matching measurement support is adjusted in parameters, and a support reconstruction strategy is generated according to the adjusted parameters.

[0046] In the embodiment, the bracket reconstruction strategy is a strategy of how to modify the target matching measurement bracket according to the target positioning point information. The target matching measurement bracket is adjusted in parameters according to the target positioning point information, specifically, the coordinates of the positioning elements on the matching measurement bracket are fine-tuned according to the accurate coordinate values of the target positioning point information. These positioning elements can include pins, positioning blocks or clamps, etc., the positions and angles of which need to strictly correspond to the target positioning point information, and the overall structure of the measurement bracket also needs to be adjusted. This includes adjusting the height, inclination angle and relative position with other components of the bracket, etc. The adjusted parameters are recorded, and non-standard part drawings and other information that need to be reprocessed are generated according to the adjusted parameters, so as to generate the bracket reconstruction strategy. It can be understood that the operator or the operation system can modify the target measurement bracket according to the bracket reconstruction strategy. The target matching measurement bracket is adjusted in parameters according to the target positioning point information, so that the target matching measurement bracket can be modified to be applicable to the target vehicle model. The bracket reconstruction strategy is generated according to the adjusted parameters to help subsequent standard modification of the target matching measurement bracket.

[0047] In an embodiment, as shown in FIG. 13, the step S130 includes steps S131-S132. Figure 4

[0048] S131, adjusting the parameters of each positioning point information of the target matching measurement bracket according to the target positioning point information to generate three-dimensional model data;

[0049] S132, traversing the three-dimensional model data through a preset traversal algorithm, and generating an assembly material list, a target matching measurement bracket parameter adjustment table, a processing drawing and target vehicle assembly information according to the traversal result to generate the bracket reconstruction strategy.

[0050] ​In this embodiment, the three-dimensional model data refers to the mathematical representation obtained by geometrically modeling an object or scene in three-dimensional space. The parameters of each positioning point of the target matching measurement bracket are adjusted according to the target positioning point information. Specifically, the parameters of each positioning point of the target matching measurement bracket are adjusted based on the coordinate values, direction vectors, and tolerance ranges in the target positioning point information. For example, if the target positioning point information shows that the height of column L4 is 5 cm, and the height of L4 in the target matching measurement bracket is 3 cm, then the height of L4 in the target matching measurement bracket needs to be adjusted to 5 cm to ensure that the parameters of the target matching measurement bracket completely match the target positioning point information. The adjusted positioning point information is input into three-dimensional modeling software (e.g., CAD), and a three-dimensional model of the measurement bracket is constructed based on this information. The final generated three-dimensional model data will provide comprehensive information about the matching measurement bracket, including its structural features, dimensional parameters, assembly relationships, etc. The three-dimensional model data will be used to guide subsequent manufacturing, assembly, and inspection work, ensuring the smooth progress of the entire process. The 3D model data is traversed using a preset traversal algorithm. In this embodiment, the preset traversal algorithm is a depth-first search algorithm, which is used to traverse or search a tree or graph. The depth-first search algorithm visits each element in the 3D model data one by one according to a preset logical order, including but not limited to parts, assembly relationships, and dimensional parameters, to generate traversal results. Based on the traversal results, an assembly bill of materials for the modified target matching measurement bracket is generated, including their names, specifications, quantities, etc., as well as a target matching measurement bracket parameter adjustment table that records the adjustment parameters for each positioning point, including position offsets, angle adjustments, etc. In addition, processing drawings are generated based on the traversal results, which show in detail the geometry, dimensional parameters, and processing requirements of each component of the bracket. Finally, target vehicle assembly information is generated, including project name, processing quantity, RPS information, processing cycle, assembly adjustment information, etc. By adjusting the parameters of each positioning point of the target matching measurement bracket according to the target positioning point information, three-dimensional model data is generated, thereby generating a bracket reconstruction strategy. This provides clear guidance for the assembly department, ensuring that the bracket can be accurately and quickly assembled onto the target vehicle model to meet the needs of the production line.

[0051] In one embodiment, such as Figure 5 As shown, step S131 includes steps S1311-S1313.

[0052] S1311. Based on the preset second step distance and the target positioning point information, the standardized component is parametrically designed to obtain the first parameter adjustment data;

[0053] S1312, performing a preset offset section processing on the non-standard component according to the vector direction in the target positioning point information to obtain second parameter adjustment data;

[0054] S1313, generating the three-dimensional model data according to the first parameter adjustment data and the second parameter adjustment data.

[0055] In the embodiment, the target matching measurement support includes standardized components and non-standard components, and the standardized components of the target matching measurement support are parameterized designed according to a preset second step distance and the target positioning point information, wherein the second step distance is the same as the first step distance, and both are data set by the developer in advance according to enterprise standards, which represents the adjustment amplitude of the components relative to the target positioning point in the assembly process. Parameterized design is an advanced design method, which describes and defines the geometry, space, skin and structure of the design object based on a series of preset parameters (target positioning point information), and the optimal parameter adjustment scheme can be generated by adjusting these parameters, and the first parameter adjustment data is obtained according to the parameter adjustment scheme. The non-standard component is processed by a preset offset section according to the vector direction in the target positioning point information, wherein the vector direction is the direction information of the positioning point, and the preset offset is determined according to the actual situation and assembly requirements, and in the embodiment, the preset offset is the remainder obtained when the remainder calculation is performed in the above step S1232. Section processing refers to cutting or trimming processing of some parts of the non-standard component, which can change its shape, size or assembly relationship, so as to meet the specific assembly requirements. The second parameter adjustment data can be obtained by performing a preset offset section processing on the target positioning point information according to the vector direction through section design software, wherein the second parameter adjustment data includes all parameter changes of the non-standard component in the section processing process, such as the position, shape, size and assembly relationship with other parts. The three-dimensional model data is generated by CAD model construction software according to the first parameter adjustment data and the second parameter adjustment data. By processing the standardized components and non-standard components in different ways, the subsequent scheme for modifying all components can be generated.

[0056] S140, modifying the target matching measurement support according to the support reconstruction strategy.

[0057] In the embodiment, the bracket reconstruction strategy includes an assembly bill of materials, a target matching measurement bracket parameter adjustment table, a processing drawing, and target vehicle assembly information. According to the bracket reconstruction strategy, the target matching measurement bracket can be modified, including changing the size, shape, material, or assembly method of the bracket, to adapt to the structural characteristics and assembly requirements of the target vehicle. During the modification process, the modification of the target matching measurement bracket can be realized according to enterprise design standards, processing period, and other requirements. By modifying the target matching measurement bracket according to the bracket reconstruction strategy, it is ensured that the modified bracket can accurately match the target vehicle and meet specific assembly and functional requirements.

[0058] In an embodiment, as shown in Figure 6 The step S140 includes steps S141-S142.

[0059] S141, according to the preset processing quantity and processing standard, the processing period is calculated, and the processing period node is generated;

[0060] S142, according to the processing period node and the preset quality requirement, the target matching measurement bracket is modified, and the modification process is monitored to generate corresponding modification monitoring information.

[0061] In the embodiment, the preset processing quantity and processing standard can be set according to the standards set by the enterprise, and there is no limitation. According to the preset processing quantity and detailed processing standard, detailed processing period calculation is performed. During calculation, the operation efficiency of the processing equipment, the complexity of the process flow, and the possible intermediate inspection links need to be considered to ensure the accuracy and rationality of the processing period arrangement, so as to generate a processing period node that is accurate to a specific date or time period. The specific processing period calculation method is not limited, and it can meet the processing period of the enterprise. According to the processing period node and the preset quality requirement, the target matching measurement bracket is modified, and the modification process is monitored to generate corresponding modification monitoring information such as processing process progress management, process inspection standard, account information, point inspection table, and process use record table. The modification monitoring information can reflect the actual progress of the modification work and provide important data on product quality and process compliance. By modifying the target matching measurement bracket according to the processing period node and the preset quality requirement, and monitoring the modification process, possible problems can be found and corrected in time to ensure that the modification work can be completed smoothly according to the predetermined processing period and quality requirement.

[0062] In an embodiment, as shown in Figure 7 The step S140 includes steps S1401-S1402.

[0063] S1401, the use of the modified target matching measurement bracket is monitored throughout the cycle;

[0064] S1402、According to the full-cycle monitoring result, the remanufacturing process of the target matching measurement support is updated.

[0065] In the embodiment, the full-cycle monitoring is a monitoring process covering the entire life cycle of using the matching measurement support to its final disposal or update. All data of the remanufactured target matching measurement support in use are collected, including the use frequency of the support, the environmental conditions, the performance parameter changes, the fault records and the repair conditions and the like, and the corresponding precision acceptance report management, the point inspection management, the use record management, the adjustment record management, the maintenance / maintenance management and the like are generated. According to the full-cycle monitoring result, whether there are defects or improvement space in the remanufacturing process of the support is identified. These defects can involve unreasonable design, improper material selection, manufacturing process problems or insufficient assembly accuracy and the like, and the remanufacturing process of the target matching measurement support is updated according to the identified problems. The remanufactured target matching measurement support is monitored to update the remanufacturing process of the target matching measurement support, improve the performance and reliability of the remanufactured target matching measurement support, and the remanufactured target matching measurement support is professionally managed.

[0066] Figure 8 is a schematic block diagram of an intelligent remanufacturing device 200 of a matching measurement support provided by an embodiment of the present application. As shown in Figure 8 corresponding to the above intelligent remanufacturing method of the matching measurement support, the present application also provides an intelligent remanufacturing device of a matching measurement support. The intelligent remanufacturing device of the matching measurement support includes units for executing the above intelligent remanufacturing method of the matching measurement support, and the device can be configured in a desktop computer, a tablet computer, a laptop computer, an etc. terminal. Specifically, please refer to Figure 8 , the intelligent remanufacturing device of the matching measurement support includes an acquisition unit 210, a matching unit 220, an adjustment unit 230 and a remanufacturing unit 240.

[0067] The acquisition unit 210 is configured to acquire target positioning point information of a target vehicle model input by a user.

[0068] The matching unit 220 is configured to match the target positioning point information with the matching measurement support in the model database in terms of the degree of fit to determine a target matching measurement support.

[0069] In an embodiment, the matching unit 220 includes a first deviation calculation unit, a second deviation calculation unit, a degree of fit calculation unit and a totalization unit.

[0070] The first deviation calculation unit is configured to calculate the deviation of other positioning point coordinates in the target positioning point information from the main positioning point coordinates to obtain a plurality of first relative coordinate deviation values;

[0071] a second deviation calculation unit, configured to perform deviation calculation on coordinates of the positioning points in the matching measurement support to obtain a plurality of second relative coordinate deviation values;

[0072] a fitting degree calculation unit, configured to perform fitting degree calculation on the first relative coordinate deviation and the second relative coordinate deviation corresponding thereto to obtain a plurality of fitting degree indexes;

[0073] a summing unit, configured to perform summing operation on the fitting degree indexes according to preset weights to obtain a fitting degree of the matching measurement support and the target vehicle type, and determine the target matching measurement support according to the fitting degree.

[0074] In an embodiment, the matching unit 220 includes a difference calculation unit, a remainder calculation unit, and a squaring unit.

[0075] the difference calculation unit is configured to obtain a coordinate difference between the first relative coordinate deviation value and the second relative coordinate deviation value corresponding thereto;

[0076] the remainder calculation unit is configured to perform remainder calculation on the coordinate difference according to a preset first step distance in a corresponding coordinate direction to obtain a corresponding remainder;

[0077] the squaring unit is configured to perform squaring and summing operation on the remainder to obtain the fitting degree index.

[0078] an adjustment unit 230, configured to perform parameter adjustment on the target matching measurement support according to the target positioning point information, and generate a support reconstruction strategy according to the adjusted parameters.

[0079] In an embodiment, the adjustment unit 230 includes a traversal unit and a generation unit.

[0080] the traversal unit is configured to perform parameter adjustment on each positioning point information of the target matching measurement support according to the target positioning point information to generate three-dimensional model data;

[0081] a first generation unit, configured to traverse the three-dimensional model data by a preset traversal algorithm, and generate a bill of materials, a target matching measurement support parameter adjustment table, a processing drawing, and target vehicle assembly information according to a traversal result to generate the support reconstruction strategy.

[0082] In an embodiment, the adjustment unit 230 includes a parameter design unit, a section unit, and a second generation unit.

[0083] the parameter design unit is configured to perform parameterized design on the standardized component according to a preset second step distance and the target positioning point information to obtain first parameter adjustment data;

[0084] a section unit, configured to perform section processing on the non-standard component according to a preset offset amount in a vector direction in the target positioning point information, to obtain second parameter adjustment data;

[0085] a second generation unit, configured to generate the three-dimensional model data according to the first parameter adjustment data and the second parameter adjustment data.

[0086] a modification unit 240, configured to modify the target matching measurement support according to the support reconstruction strategy.

[0087] In an embodiment, the modification unit 240 includes a construction period calculation unit and a modification monitoring unit.

[0088] The construction period calculation unit is configured to calculate a construction period according to a preset processing quantity and a processing standard, and generate a processing construction period node.

[0089] The modification monitoring unit is configured to modify the target matching measurement support according to the processing construction period node and a preset quality requirement, monitor a modification process, and generate corresponding modification monitoring information.

[0090] In an embodiment, the modification unit 240 includes a full-cycle monitoring unit and an updating unit.

[0091] The full-cycle monitoring unit is configured to perform full-cycle monitoring on a use condition of the modified target matching measurement support.

[0092] The updating unit is configured to update a modification process of the target matching measurement support according to a full-cycle monitoring result.

[0093] It should be noted that a person skilled in the art can clearly understand the specific implementation process of the above-mentioned intelligent modification device 200 of the matching measurement support and each unit, which can refer to the corresponding description in the foregoing method embodiments. For the convenience and brevity of description, it will not be repeated here.

[0094] The above-mentioned intelligent modification device of the matching measurement support can be realized in the form of a computer program, which can run on a computer device as shown in Figure 9 .

[0095] Please refer to Figure 9 , Figure 9 is a schematic block diagram of a computer device provided by an embodiment of the present application. The computer device 500 can be a terminal or a server, wherein the terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, a wearable device, and an electronic device with a communication function. The server can be a stand-alone server or a server cluster composed of multiple servers.

[0096] Referring to Figure 9 The computer device 500 includes a processor 502, a memory, and a network interface 505 connected through a system bus 501, wherein the memory can include a non-volatile storage medium 503 and an internal memory 504.

[0097] The non-volatile storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform the method for matching and modifying a measurement support.

[0098] The processor 502 is configured to provide computing and control capabilities to support the operation of the entire computer device 500.

[0099] The internal memory 504 provides an environment for the operation of the computer program 5032 in the non-volatile storage medium 503, which, when executed by the processor 502, causes the processor 502 to perform the method for matching and modifying a measurement support.

[0100] The network interface 505 is configured to perform network communication with other devices. Those skilled in the art can understand that Figure 9 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device 500 to which the scheme of the present application is applied. The specific computer device 500 can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0101] The processor 502 is configured to run the computer program 5032 stored in the memory to implement the steps of the above method.

[0102] It should be understood that, in the embodiments of the present application, the processor 502 can be a central processing unit (CPU), and the processor 502 can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0103] Those skilled in the art can understand that all or part of the processes in the method of the above embodiments can be completed by instructing the relevant hardware by a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to realize the process steps of the above method embodiments.

[0104] Therefore, the application further provides a storage medium. The storage medium can be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. The program instructions are executed by a processor to make the processor execute the steps of the above method.

[0105] The storage medium can be a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk, and various computer readable storage media that can store program codes.

[0106] Those skilled in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been described in general terms in the above description. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.

[0107] In several embodiments provided by the application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and actual implementation can have another division manner. For example, a plurality of units or components can be combined or integrated into another system, or some features can be omitted or not executed.

[0108] The steps in the method of the embodiments of the application can be adjusted, combined and deleted in sequence according to actual needs. The units in the device of the embodiments of the application can be combined, divided and deleted according to actual needs. In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit.

[0109] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a storage medium. Based on such an understanding, the technical solutions of the present application essentially or say the part that contributes to the prior art, or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a terminal, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application.

[0110] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of retrofitting an intelligent matching measuring stand, characterized in that, The method comprises the following steps: acquiring target positioning point information of a target vehicle model input by a user; matching the target positioning point information with a matching measurement support in a model database to determine a target matching measurement support; adjusting parameters of the target matching measurement support according to the target positioning point information, and generating a support reconstruction strategy according to the adjusted parameters; reforming the target matching measurement support according to the support reconstruction strategy.

2. The method of claim 1, wherein, The step of matching the target positioning point information with the matching measurement support in the model database to determine the target matching measurement support comprises the following steps: calculating deviations of other positioning point coordinates in the target positioning point information from main positioning point coordinates to obtain a plurality of first relative coordinate deviation values; calculating deviations of positioning point coordinates in the matching measurement support to obtain a plurality of second relative coordinate deviation values; calculating degrees of fit of the first relative coordinate deviations and corresponding second relative coordinate deviations to obtain a plurality of degrees of fit indexes; performing aggregate operation on the degrees of fit indexes according to preset weights to obtain a degree of fit of the matching measurement support and the target vehicle model, and determining the target matching measurement support according to the degree of fit.

3. The method of claim 2, wherein, The step of calculating degrees of fit of the first relative coordinate deviations and corresponding second relative coordinate deviations to obtain a plurality of degrees of fit indexes comprises the following steps: obtaining a coordinate difference between the first relative coordinate deviation value and the corresponding second relative coordinate deviation value; performing remainder calculation on the coordinate difference according to a preset first step distance in a corresponding coordinate direction to obtain a corresponding remainder; performing square sum calculation on the remainder to obtain the degree of fit index.

4. The method of claim 1, wherein, The step of adjusting parameters of the target matching measurement support according to the target positioning point information, and generating a support reconstruction strategy according to the adjusted parameters comprises the following steps: adjusting parameters of each positioning point information of the target matching measurement support according to the target positioning point information to generate three-dimensional model data; generating a bill of materials, a target matching measurement support parameter adjustment table, a processing drawing, and target vehicle assembly information according to a traversal result of the three-dimensional model data generated by a preset traversal algorithm to generate the support reconstruction strategy.

5. The method of claim 4, wherein, The target matching measurement support comprises standardized components and non-standardized components, and the step of adjusting parameters of each positioning point information of the target matching measurement support according to the target positioning point information to generate three-dimensional model data comprises the following steps: performing parameterized design on the standardized components according to a preset second step distance and the target positioning point information to obtain first parameter adjustment data; performing section processing on the non-standardized components according to a preset offset amount and a vector direction in the target positioning point information to obtain second parameter adjustment data; generating the three-dimensional model data according to the first parameter adjustment data and the second parameter adjustment data.

6. The method of claim 1, wherein, The step of reforming the target matching measurement support according to the support reconstruction strategy comprises the following steps: performing construction period calculation according to a preset construction quantity and a construction standard to generate a construction period node; According to the processing time node and the preset quality requirement, the target matching measurement support is modified, and a modification monitoring information is generated.

7. The method of claim 1, wherein, After the step of modifying the target matching measurement support according to the support reconstruction strategy, the method comprises the steps of: monitoring the use of the modified target matching measurement support in a whole cycle; updating the modification process of the target matching measurement support according to the whole cycle monitoring result.

8. An intelligent retrofit device for matching a measurement stand, characterized by Comprise: an acquisition unit configured to acquire target positioning point information of a target vehicle model input by a user; a matching unit configured to match the target positioning point information with a matching measurement support in a model database to determine a target matching measurement support; an adjustment unit configured to adjust the target matching measurement support according to the target positioning point information, and generate a support reconstruction strategy according to the adjusted parameters; a modification unit configured to modify the target matching measurement support according to the support reconstruction strategy.

9. A computer device, comprising: The computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the method in any one of claims 1-7.

10. A storage medium, characterized by The storage medium stores a computer program, the computer program comprises program instructions, and the program instructions can realize the method in any one of claims 1-7 when executed by a processor.

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