Model-driven vehicle trial production BOM automatic preparation method and device
By using a model-driven approach, the BOM for vehicle prototyping is automatically generated, which solves the problems of low efficiency and poor accuracy of traditional generation methods. This improves the accuracy and completeness of BOM data and reduces costs and rework rates.
Patent Information
- Application Number
- CN202411138134.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-19
- Publication Date
- 2026-02-06
- Estimated Expiration
- 2044-08-19
AI Technical Summary
Traditional methods for compiling Bill of Materials (BOMs) for vehicle prototyping are inefficient and have poor accuracy, failing to meet the need for efficient compilation in various scenarios.
Using a model-driven approach, a model database is created and a preset algorithm is invoked to generate an initial prototype BOM. The final PBOM is then automatically compiled through the association and matching of process component libraries, component reduction scheme libraries, line maintenance libraries, process maintenance libraries, function code and process relationship libraries, and part and professional engineer libraries.
This improved the accuracy and completeness of BOM data during the vehicle prototyping stage, reduced redundant data, lowered the cost of prototyping per vehicle, and improved compilation efficiency and delivery quality.
Smart Images

Figure CN119047987B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of whole vehicle production and manufacturing, in particular to a model-driven whole vehicle trial production BOM automatic preparation method and device. BACKGROUND
[0002] Trial production BOM (Bill of Materials) is a kind of BOM form guiding the trial production plan of sample vehicle parts and the assembly of sample vehicles. In the sample vehicle trial production process, the properties and states of the parts on the BOM are all different, and some parts need to be assembled with hand-made parts or replacement parts, so there may be differences between the parts assembled on each trial production sample vehicle and the final mass production state.
[0003] The traditional preparation method of trial production BOM mainly adopts offline manual preparation, for example, matching EBOM (Engineering Bill of Materials) data with trial production plans, generating a preliminary trial production BOM according to vehicle series and sample vehicle series, manually editing, arranging and confirming the trial production BOM, and the preparation efficiency cannot meet the high-efficiency preparation demand of trial production BOM in multiple scenarios, resulting in problems such as low preparation efficiency and poor accuracy. Therefore, how to realize the efficient preparation of whole vehicle trial production BOM and improve the preparation efficiency and accuracy of trial production BOM has become a problem to be solved at present. SUMMARY
[0004] The present application provides a model-driven whole vehicle trial production BOM automatic preparation method and device, which can improve the accuracy and completeness of BOM data in the whole vehicle trial production stage.
[0005] In a first aspect, the present application provides a model-driven whole vehicle trial production BOM automatic preparation method, which comprises:
[0006] Creating a model database for driving the generation of trial production BOM, obtaining assembly BOM data and special assembly part list;
[0007] Based on the obtained assembly BOM data and special assembly part list, calling a preset algorithm to generate a preliminary trial production BOM;
[0008] Based on the preliminary trial production BOM, generating a preliminary PBOM of welding, assembly and delivery according to the assembly route and the function code and process relationship, and generating a final PBOM after confirmation.
[0009] In combination with the first aspect, in an implementation mode,
[0010] The model database comprises a process assembly library, a reduced configuration scheme library, a line maintenance library, a process maintenance library, a function code and process relationship library, and a part and engineer library.
[0011] The process assembly library is formed by merging and constructing a plurality of sub-parts into one physical assembly according to the trial production process needs, generating a process assembly by setting a plurality of sub-parts, and forming a process assembly library.
[0012] The reduced configuration scheme library is formed by defining a reduced configuration scheme according to the trial production stage, task type, power system type, purpose, and part library node code and part name.
[0013] The line maintenance library is used to configure and import the process route and line assembly sequence.
[0014] The process maintenance library is used to configure and define the process route.
[0015] The function code and process relationship library is used to associate and match the function code and process of the part.
[0016] The part and engineer library is used to define the correspondence between the part and the engineer, and to realize the procurement process distribution.
[0017] In combination with the first aspect, in an embodiment, the acquisition of the loading and installation BOM data and the special loading part list specifically comprises:
[0018] Based on the loading and installation BOM data of the upstream EBOM system, the loading material list and the sample vehicle configuration information are acquired.
[0019] The special loading part list is imported according to the project and the trial production stage, and the special loading part list is obtained, wherein the data attributes of the special loading part list include operation type, vehicle model series, sample vehicle number, part code, and single vehicle consumption.
[0020] In combination with the first aspect, in an embodiment, the loading material list and the sample vehicle configuration information include project name, part code, part name, library node code, parent part number, notification number, manufacturing route, assembly route, scheme idea, vehicle model series, and sample vehicle number.
[0021] In combination with the first aspect, in an embodiment,
[0022] The preset algorithm includes a delivery level matching operation, an engineer matching operation, an assembly library matching operation, a reduced configuration library matching operation, and a function code and process matching operation.
[0023] The delivery level matching operation is to determine whether there is a delivery level relationship according to the part level matching.
[0024] The professional matching operation is to automatically match the corresponding engineer according to the library node code of the part based on the loading and installation BOM data;
[0025] The assembly library matching operation is to match the part library node of the component and the part library node of the sub-part with the BOM list, obtain the part number that meets the assembly, and automatically generate a new process assembly number, and update the new process assembly number to the initial trial production BOM;
[0026] The reduced configuration library matching operation is to match the corresponding sample vehicle code according to the trial production stage, task type, power system type and part purpose, and then lock the parts according to the part library node to reduce the configuration, and update the initial trial production BOM;
[0027] The function code and process matching operation is to automatically match the part assembly process according to the function code of the part in the loading and installation BOM data.
[0028] In combination with the first aspect, in an implementation mode, the initial trial production BOM is generated based on the obtained loading and installation BOM data and the special loading part list, and a preset algorithm is called, and specifically includes:
[0029] Based on the obtained loading and installation BOM data and the special loading part list, and the project and trial production stage of the loading and installation BOM data, and in combination with the preset algorithm, the BOM attribute is automatically matched;
[0030] The part, vehicle configuration and sample vehicle configuration are associated and matched with the special loading part list by traversing the part details, vehicle configuration and sample vehicle configuration of the loading and installation BOM data;
[0031] The special loading part list is checked to determine the existence of specific detail data, and the loading and installation BOM data is traversed to determine whether the specific detail data exists:
[0032] If not, the part details of the initial trial production BOM are updated to obtain the initial trial production BOM;
[0033] If so, the sample vehicle configuration data of the initial trial production BOM is updated to obtain the initial trial production BOM;
[0034] The BOM attribute includes process assembly, reduced part, delivery level, manufacturing route, assembly route, and whether it is an assembly part.
[0035] In combination with the first aspect, in an implementation mode, after the initial trial production BOM is generated, it further includes:
[0036] For the generated initial trial production BOM, each assembly engineer is assigned according to the process route to actively confirm whether the initial trial production BOM needs to be adjusted, and when no adjustment is needed, the initial trial production BOM is released.
[0037] With reference to the first aspect, in an implementation, the method further comprises:
[0038] splitting the initial trial BOM based on a trial assembly route to generate an initial PBOM, the initial PBOM comprising a welding PBOM, an assembly PBOM, and a delivery assembly PBOM;
[0039] generating a final PBOM based on confirmation of the parts assembly list by a process personnel.
[0040] With reference to the first aspect, in an implementation, after the final PBOM is generated, the method further comprises:
[0041] generating a single vehicle PBOM and a single vehicle bill of materials according to a project, a trial stage, a workshop, a vehicle model series, and a sample vehicle code based on the final PBOM, for generating a single trial assembly sample vehicle bill of materials.
[0042] A second aspect, an embodiment of the present application provides a model-driven whole vehicle trial BOM automatic preparation device, the model-driven whole vehicle trial BOM automatic preparation device comprising:
[0043] a model database module configured to create a model database for driving generation of a trial BOM;
[0044] a BOM acquisition module configured to acquire a vehicle installation BOM data and a special vehicle installation parts list;
[0045] an algorithm device module configured to implement a delivery level matching operation, a professional teacher matching operation, a combined parts library matching operation, a reduced configuration library matching operation, and a function code and process matching operation;
[0046] a trial BOM preparation module configured to, based on the acquired vehicle installation BOM data and the special vehicle installation parts list, call the algorithm device module, generate an initial trial BOM, and perform confirmation and release of the initial trial BOM;
[0047] a PBOM preparation module configured to, based on the initial trial BOM, generate an initial welding PBOM, an initial assembly PBOM, and an initial delivery assembly PBOM according to an assembly route and a function code and process relationship, generate a final PBOM after confirmation, and release the final PBOM, and generate a single vehicle PBOM based on the final PBOM.
[0048] The technical scheme provided by the embodiment of the present application has the following beneficial effects:
[0049] (1) can regulate the BOM data input accuracy, establish the four-level management and control system of the online BOM, the trial production BOM, the PBOM and the single vehicle PBOM, greatly improve the BOM data accuracy and integrity in the trial production stage of the vehicle;
[0050] (2) reference model database driven trial production BOM, PBOM automatic generation, improve the efficiency of trial production BOM, process joint or reduce the scheme library driven BOM database accuracy, reduce the BOM redundant data, improve the disposal efficiency and data accuracy of BOM;
[0051] (3) can reduce the repair rate of the vehicle due to the poor input specification and accuracy of the trial production BOM, improve the trial production plan achievement rate and delivery quality, and automatically generate process joint and reduction scheme through model driven, reduce unnecessary parts procurement, and reduce the trial production cost of single vehicle. BRIEF DESCRIPTION OF DRAWINGS
[0052] Figure 1 the flowchart of the model driven vehicle trial production BOM automatic preparation method of the present application;
[0053] Figure 2 the generation logic diagram of the preliminary trial production BOM;
[0054] Figure 3 the generation logic diagram of the final PBOM;
[0055] Figure 4 the generation logic diagram of the single vehicle PBOM;
[0056] Figure 5 the functional module diagram of the model driven vehicle trial production BOM automatic preparation device of the present application;
[0057] Figure 6 the hardware structure diagram of the model driven vehicle trial production BOM automatic preparation device of the present application. DETAILED DESCRIPTION
[0058] In order to make the person skilled in the art better understand the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor are within the scope of protection of the present application.
[0059] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application will be further described in detail in conjunction with the drawings.
[0060] In a first aspect, the embodiments of the present application provide a model-driven whole vehicle trial production BOM automatic preparation method, which can greatly improve the trial production BOM preparation efficiency and data accuracy.
[0061] In an embodiment, referring to Figure 1 , Figure 1 The flowchart of the model-driven whole vehicle trial production BOM automatic preparation method of the present application is shown in FIG. 1. As shown in FIG. 1, the model-driven whole vehicle trial production BOM automatic preparation method comprises the following steps: Figure 1
[0062] S1: creating a model database for driving the generation of trial production BOM, and obtaining vehicle loading BOM data and special vehicle loading part list;
[0063] In the present application, the model database comprises a process assembly library, a reduction scheme library, a line maintenance library, a process maintenance library, a function code and process relationship library, and a part and professional engineer library.
[0064] Specifically, the process assembly library is formed by merging and constructing a plurality of sub-parts into one physical assembly according to the trial process needs, and the process assembly library is formed by setting a plurality of sub-parts and generating a process assembly; the reduction scheme library is formed by defining a reduction scheme according to the trial stage, task type, power system type, purpose, and part library node code and part name; the line maintenance library is used for configuring and importing process routes and line assembly sequences, such as interior decoration one, interior decoration two, and cradle sub-assembly, for subsequent PBOM generation; the process maintenance library is used for realizing the configuration and definition of process routes, mainly including general assembly, delivery assembly, and welding assembly; the function code and process relationship library is used for matching according to the function code and process of the part, for automatic matching of the process in subsequent PBOM generation; and the part and professional engineer library is used for defining the correspondence between the part and the engineer, and realizing the distribution of the procurement process.
[0065] Further, in an embodiment, the vehicle loading BOM data and the special vehicle loading part list are obtained, specifically comprising:
[0066] S101: obtaining vehicle loading material list and sample vehicle configuration information based on vehicle loading BOM data of an upstream EBOM system;
[0067] Specifically, the vehicle loading material list and sample vehicle configuration information comprise project name, part code, part name, library node code, parent part number, notification number, manufacturing route, assembly route, scheme idea, vehicle model series, and sample vehicle number.
[0068] S102: Import the special loading part list according to the project and the trial production stage to obtain the special loading part list, and the data attributes of the special loading part list include operation type, vehicle model series, sample vehicle number, part code, and single vehicle usage.
[0069] That is, in the case of special assembly parts for part of the sample vehicle, the special loading part list can be imported according to the project and the trial production stage. The data attributes of the special loading part list include operation type (which can be added or deleted), vehicle model series, sample vehicle number, part code, and single vehicle usage. The special loading part is a component different from the general part.
[0070] S2: Based on the obtained loading and installation BOM data and the special loading part list, a preset algorithm is called to generate a preliminary trial BOM; that is, based on the obtained loading and installation BOM data and the special loading part list, a preset algorithm is called to automatically generate a preliminary trial BOM.
[0071] In this application, the preset algorithm includes a delivery level matching operation, a professional teacher matching operation, a joint library matching operation, a reduction library matching operation, and a function code and process matching operation.
[0072] The delivery level matching operation is to determine whether there is a delivery level relationship according to the part level matching. Specifically, the part with a level equal to 2 and an identification code not equal to 40, 81, 85, and 95 has a delivery level. The professional teacher matching operation is to automatically match the corresponding engineer based on the loading and installation BOM data according to the part library node code, that is, to automatically match the professional teacher according to the part library node code.
[0073] The joint library matching operation is to match the part number that meets the joint through the component part library node and the sub-part part library node and the BOM list, and automatically generate a new process joint number, and update the new process joint number to the preliminary trial BOM.
[0074] The reduction library matching operation is to match the sample vehicle code that meets the requirements according to the trial production stage, task type, power system type, and part purpose, and then lock the part according to the part library node to reduce the allocation and update the preliminary trial BOM; specifically, the sample vehicle code that meets the requirements is matched according to the trial production stage + task type + power system type + purpose, and then the part is locked according to the part library node to reduce the allocation and update the preliminary trial BOM.
[0075] The function code and process matching operation is to automatically match the part assembly process according to the function code of the part in the loading and installation BOM data.
[0076] Referring to Figure 2 , it is a generation logic diagram of the preliminary trial BOM. In this application, based on the obtained loading and installation BOM data and the special loading part list, a preset algorithm is called to generate a preliminary trial BOM, which specifically includes:
[0077] S201: Based on the obtained loading BOM data and special loading part list, and the project and trial production stage of the loading BOM data, and combining a preset algorithm, BOM attribute automatic matching is performed; the BOM attributes include process combination parts, reduced parts, delivery level, manufacturing route, assembly route, and whether an assembly part;
[0078] S202: The part details, vehicle configuration, and sample vehicle configuration of the loading BOM data are traversed, the parts are associated with the vehicle configuration and the sample vehicle configuration, and are matched with the special loading part list;
[0079] S203: The special loading part list is checked to determine the existence of specific detail data, and the loading BOM data is traversed to determine whether the specific detail data exists:
[0080] If not, the part details of the initial trial BOM are updated to obtain the initial trial BOM;
[0081] If so, the sample vehicle configuration data of the initial trial BOM is updated to obtain the initial trial BOM.
[0082] That is, it is checked whether the detail data of OP_TYPE=10 or OP_TYPE=20 exists in the special loading part list, and then the loading BOM data is traversed to determine whether the detail data exists in the loading BOM data. If not, the part details of the initial trial BOM are updated. If so, the sample vehicle configuration data of the initial trial BOM is updated. The specific detail data in the present application is OP_TYPE=10 or OP_TYPE=20, or part detail data formulated according to actual needs.
[0083] Further, in an embodiment, after the initial trial BOM is generated, it further includes: for the generated initial trial BOM, each assembly engineer is assigned according to the process route to actively confirm whether the initial trial BOM needs to be adjusted, and when no adjustment is needed, the initial trial BOM is released.
[0084] That is, for the generated initial trial BOM, each assembly engineer is assigned according to the process route to confirm whether the initial trial BOM needs to be adjusted, and when no adjustment is needed, the initial trial BOM is released.
[0085] S3: Based on the initial trial BOM, according to the assembly route and the relationship between the function code and the process, the initial PBOM (Product Bill of Material) of welding, assembly and delivery is generated, and the final PBOM is generated after confirmation. That is, after the initial trial BOM is released, the initial PBOM of welding, assembly and delivery is generated according to the assembly route and the relationship between the function code and the process, the process manager confirms and adjusts the line and process of his own responsible area, and issues it to the process personnel for confirmation.
[0086] Referring to Figure 3 Fig. 4 shows a generation logic diagram of the final PBOM. Further, in an embodiment, based on the initial trial BOM, the initial PBOM of welding, assembly and delivery is generated according to the assembly route and the relationship between the function code and the process, and the final PBOM is generated after confirmation, which specifically includes:
[0087] S301: According to the part list, vehicle configuration and sample vehicle configuration of the initial trial BOM, the initial trial BOM is split based on the trial assembly route to generate the initial PBOM, and the initial PBOM includes welding PBOM, assembly PBOM and delivery PBOM; the PBOM composition includes the part list, vehicle configuration and sample vehicle configuration of the PBOM;
[0088] S302: Based on the confirmation of the process personnel on the part assembly list, the final PBOM is generated. That is, the process personnel confirms the part assembly list of the line responsible for and generates the final PBOM.
[0089] In this application, after the final PBOM is generated, it also includes: according to the final PBOM, generating single vehicle PBOM and single vehicle material list according to project, trial stage, workshop, vehicle type series and sample vehicle code, which is used for generating single trial assembly sample vehicle material list. That is, according to the final PBOM, the single vehicle PBOM is generated according to the project + trial stage + workshop + vehicle type series + sample vehicle code. Referring to Figure 4 Fig. 5 shows a generation logic diagram of the single vehicle PBOM.
[0090] The application can solve the following problems existing in the whole vehicle trial process in the automobile industry: 1. EBOM / MBOM and trial BOM are not transmitted through the system, and the trial BOM is transmitted offline and prepared, which has poor data consistency and timeliness; 2. The related attributes (such as delivery level, professional teacher, joint part information, reduction information, etc.) in the trial BOM preparation process rely on manual judgment and checking, which has low preparation efficiency and poor data accuracy and integrity; 3. The process joint parts and reduction parts involved in the trial BOM need to be manually judged and merged, which has low data accuracy and is easy to cause assembly part redundancy.
[0091] The model-driven whole vehicle trial production BOM automatic preparation method of the embodiments of the present application can standardize BOM data input accuracy, establish an online four-level management and control system of machine installation BOM, trial production BOM, PBOM and single vehicle PBOM, greatly improve the BOM data accuracy and integrity in the whole vehicle trial production stage, and automatically generate trial production BOM and PBOM by referring to a model database, thereby improving the preparation efficiency of trial production BOM and PBOM, improving the BOM database accuracy by using a process assembly or a reduced configuration scheme library, reducing BOM redundant data, and improving the disposal efficiency and data accuracy of BOM. The model-driven automatic generation of process assemblies and reduced configuration schemes can reduce the vehicle repair rate caused by poor input standardization and accuracy of trial production BOM, improve the trial production plan achievement rate and delivery quality, and reduce unnecessary parts procurement and single vehicle trial production cost.
[0092] In a second aspect, the embodiments of the present application also provide a model-driven whole vehicle trial production BOM automatic preparation device.
[0093] In an embodiment, the model-driven whole vehicle trial production BOM automatic preparation device comprises a model database module, a BOM acquisition module, an algorithm device module, a trial production BOM preparation module and a PBOM preparation module. Figure 5 , Figure 5 FIG. 1 is a functional module schematic diagram of the model-driven whole vehicle trial production BOM automatic preparation device of the present application. As shown in FIG. 1, the model-driven whole vehicle trial production BOM automatic preparation device comprises a model database module, a BOM acquisition module, an algorithm device module, a trial production BOM preparation module and a PBOM preparation module. Figure 5 The model database module is used to create a model database for driving trial production BOM generation; the BOM acquisition module is used to acquire machine installation BOM data and special vehicle installation part lists; the algorithm device module is used to realize delivery level matching operation, professional teacher matching operation, assembly library matching operation, reduced configuration library matching operation and function code and process matching operation; the trial production BOM preparation module is used to generate a preliminary trial production BOM based on the acquired machine installation BOM data and special vehicle installation part lists, call the algorithm device module, generate the preliminary trial production BOM, and perform confirmation and release of the preliminary trial production BOM; and the PBOM preparation module is used to generate preliminary PBOMs of welding, assembly and delivery based on the preliminary trial production BOM and according to assembly routes and function code and process relationships, generate final PBOMs after confirmation and release, and generate single vehicle PBOMs based on the final PBOMs.
[0094] The functions of the modules in the model-driven whole vehicle trial production BOM automatic preparation device correspond to the steps in the model-driven whole vehicle trial production BOM automatic preparation method, and the functions and implementation processes will not be described here.
[0095]
[0096] In a third aspect, the embodiments of the present application provide a model-driven-based whole vehicle trial production BOM automatic preparation device. The model-driven-based whole vehicle trial production BOM automatic preparation device can be a personal computer (PC), a notebook computer, a server, or the like having a data processing function.
[0097] Referring to Figure 6 , Figure 6 FIG. 1 is a schematic diagram of a hardware structure of a model-driven-based whole vehicle trial production BOM automatic preparation device according to an embodiment of the present application. In the embodiments of the present application, the model-driven-based whole vehicle trial production BOM automatic preparation device can include a processor, a memory, a communication interface, and a communication bus.
[0098] The communication bus can be of any type and used to interconnect the processor, the memory, and the communication interface.
[0099] The communication interface includes an input / output (I / O) interface, a physical interface, and a logical interface, and the like, which are used to implement the interconnection of devices inside the model-driven-based whole vehicle trial production BOM automatic preparation device, and are used to implement the interconnection of the model-driven-based whole vehicle trial production BOM automatic preparation device and other devices (for example, other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber interface, an ATM interface, or the like; the user device can be a display (Display), a keyboard (Keyboard), or the like.
[0100] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), or the like.
[0101] The processor can be a general-purpose processor, which can invoke a model-driven whole vehicle trial BOM automatic preparation program stored in the memory and execute the model-driven whole vehicle trial BOM automatic preparation method provided in the embodiments of the present application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the model-driven whole vehicle trial BOM automatic preparation program is invoked can refer to various embodiments of the model-driven whole vehicle trial BOM automatic preparation method of the present application, which will not be described here.
[0102] Those skilled in the art can understand that the hardware structure shown in the foregoing embodiments is not a limitation on the present application, and can include more or fewer components than those shown, or combine certain components, or different component arrangements. Figure 6 The hardware structure shown in the foregoing embodiments is not a limitation on the present application, and can include more or fewer components than those shown, or combine certain components, or different component arrangements.
[0103] The terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above-described drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product or device. The terms "first", "second" and "third" and the like descriptions are used to distinguish different objects, and do not represent the order or limit the types of "first", "second" and "third".
[0104] In the description of the embodiments of the present application, "exemplary", "for example" or "for instance" is used to mean as an example, illustration or description. Any embodiment or design scheme described as "exemplary", "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words "exemplary", "for example" or "for instance" are intended to present the relevant concept in a specific manner.
[0105] In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B; "and / or" in the text only describes the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which means that there are three cases of A alone, A and B together, and B alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.
[0106] In some of the processes described in this specification, the order of operations or steps can be modified. Specifically, the serial order of any two consecutive steps carried out according to the processes described in this specification can be changed so that these two steps can be carried out in parallel or simultaneously, or the order of these two steps can be reversed.
[0107] Those skilled in the art can clearly understand the above-mentioned embodiment method from the description of the above embodiments, which can be realized by software and a necessary general hardware platform, of course, can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disc) as described above, and includes a plurality of instructions for causing a terminal device to execute the methods described in the various embodiments of the present application.
[0108] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation using the content of the specification and drawings, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A model-driven vehicle trial production BOM automatic preparation method, characterized in that, The model-driven whole vehicle trial production BOM automatic preparation method comprises the following steps: A model database for driving trial production BOM generation is created, and vehicle installation BOM data and special vehicle installation part lists are obtained; Based on the obtained vehicle installation BOM data and special vehicle installation part lists, a preset algorithm is called to generate a preliminary trial production BOM; Based on the preliminary trial production BOM, according to the assembly route and the function code and process relationship, a preliminary PBOM for welding, assembly and delivery is generated, and a final PBOM is generated after confirmation; The model database comprises a process assembly library, a reduction scheme library, a line maintenance library, a process maintenance library, a function code and process relationship library, and a part and professional teacher library; The process assembly library is formed by merging multiple sub-parts into one physical assembly according to the trial production process needs, and the process assembly library is formed by setting multiple sub-parts and generating a process assembly; The preset algorithm comprises a delivery level matching operation, a professional teacher matching operation, an assembly library matching operation, a reduction library matching operation, and a function code and process matching operation; The delivery level matching operation is to determine whether there is a delivery level relationship according to the part level matching; The professional teacher matching operation is to automatically match the corresponding engineer according to the part library node code based on the vehicle installation BOM data; The assembly library matching operation is to match the part number that meets the assembly through the component part library node and the sub-part part library node and the BOM list, automatically generate a new process assembly number, and update the new process assembly number to the preliminary trial production BOM; The reduction library matching operation is to match the corresponding sample vehicle code according to the trial production stage, task type, power system type and part purpose, lock the parts according to the part library node, reduce the parts, and update the preliminary trial production BOM; The function code and process matching operation is to automatically match the part assembly process according to the function code of the part in the vehicle installation BOM data.
2. The model-driven whole vehicle trial production BOM automatic preparation method according to claim 1, wherein: The reduction scheme library is formed by defining the reduction scheme according to the trial production stage, task type, power system type, purpose, part library node code and part name, and forming a reduction scheme library; The line maintenance library is used for configuring and importing the process route and line assembly sequence; The process maintenance library is used for realizing the configuration and definition of the process route; The function code and process relationship library is used for associating and matching according to the function code and process of the part; The part and professional teacher library is used to define the corresponding relationship between the part and the engineer, and realize the procurement process distribution.
3. The model-driven based vehicle trial production BOM automatic preparation method according to claim 1, wherein, The vehicle installation BOM data and special vehicle installation part lists are obtained by: Obtaining the vehicle material list and sample vehicle configuration information based on the upstream EBOM system vehicle installation BOM data; Importing the special vehicle installation part list according to the project and trial production stage to obtain the special vehicle installation part list, and the data attributes of the special vehicle installation part list include operation type, vehicle model series, sample vehicle number, part code and single vehicle consumption.
4. The model-driven based vehicle trial production BOM automatic preparation method according to claim 3, characterized in that: The loading list and sample vehicle configuration information includes item name, part code, part name, library node code, parent part number, notification number, manufacturing route, assembly route, scheme, vehicle series, and sample vehicle number.
5. The model-driven based vehicle trial production BOM automatic preparation method according to claim 4, characterized in that, The method comprises the following steps: Based on the obtained loading and installation BOM data and special loading parts list, a preset algorithm is called to generate a preliminary trial BOM, specifically comprising: Based on the obtained loading and installation BOM data and special loading parts list, and the project and trial stage of the loading and installation BOM data, and combined with the preset algorithm, the BOM attributes are automatically matched; The part details, vehicle configuration, and sample vehicle configuration of the loading and installation BOM data are traversed, the parts are associated with the vehicle configuration and sample vehicle configuration, and are matched with the special loading parts list; The special loading parts list is checked to determine the existence of specific detail data, and the loading and installation BOM data are traversed to determine whether the specific detail data exists: If not, the part details of the preliminary trial BOM are updated to obtain the preliminary trial BOM; If so, the sample vehicle configuration data of the preliminary trial BOM is updated to obtain the preliminary trial BOM; 6. The model-driven based vehicle trial production BOM automatic preparation method according to claim 1, wherein, The BOM attributes include process combination, reduced parts, delivery level, manufacturing route, assembly route, and whether it is an assembly part. After generating the preliminary trial BOM, it further comprises:
7. The model-driven based vehicle trial production BOM automatic preparation method according to claim 1, wherein, For the generated preliminary trial BOM, each assembly engineer is assigned according to the process route to actively confirm whether the preliminary trial BOM needs to be adjusted, and when no adjustment is needed, the preliminary trial BOM is released. Based on the preliminary trial BOM, the welding, assembly, and delivery assembly preliminary PBOMs are generated according to the assembly route and the function code and process relationship, and the final PBOM is generated after confirmation, specifically comprising: Based on the trial assembly route, the preliminary trial BOM is split to generate the preliminary PBOM according to the part details, vehicle configuration, and sample vehicle configuration of the preliminary trial BOM, and the preliminary PBOM includes the welding PBOM, assembly PBOM, and delivery assembly PBOM; 8. The model-driven based vehicle trial production BOM automatic preparation method according to claim 1, wherein, Based on the confirmation of the part assembly list by the process personnel, the final PBOM is generated. After generating the final PBOM, it further comprises:
9. A model-driven-based automatic preparation device for a trial BOM of a whole vehicle, characterized by, According to the final PBOM, the single vehicle PBOM and single vehicle material list are generated according to the project, trial stage, workshop, vehicle series, and sample vehicle code, which are used for generating the material list of a single trial assembly sample vehicle. The model-driven whole vehicle trial BOM automatic preparation device comprises: A model database module for creating a model database for driving the generation of the trial BOM; A BOM acquisition module for acquiring loading and installation BOM data and special loading parts list; An algorithm device module for implementing delivery level matching operation, professional teacher matching operation, combination library matching operation, reduction library matching operation, and function code and process matching operation; A trial BOM preparation module for calling the algorithm device module based on the obtained loading and installation BOM data and special loading parts list to generate a preliminary trial BOM, and confirming and releasing the preliminary trial BOM; A PBOM compiling module is configured to generate a preliminary PBOM for welding, assembling and delivery based on a preliminary trial-manufacturing BOM, according to an assembly route and a function code and process relationship, generate a final PBOM after confirmation and release, and generate a single-vehicle PBOM based on the final PBOM; The delivery level matching operation is to determine whether there is a delivery level relationship according to the part level matching; The professional engineer matching operation is to automatically match the corresponding engineer according to the part library node code based on the vehicle and machine BOM data; The assembly library matching operation is to match the part library node of the component and the part library node of the sub-part with the BOM list, obtain the part number that meets the assembly, automatically generate a new process assembly number, and update the new process assembly number to the preliminary trial-manufacturing BOM; The reduced configuration library matching operation is to match the corresponding sample vehicle code according to the trial-manufacturing stage, task type, power system type and part purpose, lock the part according to the part library node, and update the preliminary trial-manufacturing BOM; The function code and process matching operation is to automatically match the part assembly process according to the function code of the part in the vehicle and machine BOM data.
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