Vehicle parameter switching method, device, equipment and storage medium

Abstract

This invention relates to the field of vehicle technology and discloses a method, apparatus, device, and storage medium for switching vehicle parameters. The method includes: acquiring vehicle parameter switching data from historical times and the vehicle parameters to be switched at the current time; determining defect data for switching the vehicle parameters based on the historical vehicle parameter switching data; formulating a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data; and switching the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy. By using the above method, after determining the defect data of the vehicle parameters, formulating a target vehicle parameter switching strategy in conjunction with preset vehicle parameter switching requirements, and then switching the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy, the rationality of switching vehicle parameters can be effectively improved, and the switching cycle and the number of vehicle cancellations can be reduced.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to vehicle parameter switching methods, devices, equipment, and storage media. Background Technology

[0002] This year, with the continuous development of my country's vehicle manufacturing industry, competition within the industry has become more intense, and consumers have placed higher demands on the speed of vehicle manufacturing updates and market response. In order to adapt to market trends and meet the individual needs of consumers, major manufacturers are constantly updating old and new models and upgrading their models to ensure that new projects are put into production with guaranteed quality and quantity within a limited time. However, in reality, most vehicle manufacturers suffer from chaotic management during the transition and upgrading process between old and new models. They do not set up special project teams for model transitions, and unreasonable planning and monitoring of vehicle parameters lead to serious delays in transition projects, resulting in a large number of vehicle order cancellations during the parameter transition process.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a vehicle parameter switching method, apparatus, device, and storage medium, aiming to solve the technical problems of unreasonable vehicle parameter switching in the prior art, which leads to long switching cycles and a large number of vehicle order cancellations.

[0005] To achieve the above objectives, the present invention provides a vehicle parameter switching method, which includes the following steps:

[0006] Obtain the vehicle parameter switching data from historical moments and the vehicle parameters to be switched at the current moment;

[0007] Determine the defect data for switching the vehicle parameters based on the vehicle parameter switching data at the historical time.

[0008] Develop a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data;

[0009] The target vehicle parameter switching strategy is used to switch the parameters of the vehicle to be switched at the current moment.

[0010] Optionally, determining the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time includes:

[0011] Obtain the switching data of the vehicle parameters from the previous historical moment;

[0012] The missing items for automatic air conditioning in the old parts list are obtained based on the vehicle parameter switching data from the previous moment.

[0013] Based on the missing items in the old parts list for automatic air conditioning, the configuration classification defect data is determined;

[0014] By using a preset defect analysis strategy, in-depth defect analysis is performed on the switching data of vehicle parameters at the historical time and the switching data of vehicle parameters at the previous time to obtain switching quality defect data, switching cycle defect data, and switching axle defect data.

[0015] The defect data of the vehicle parameters is obtained based on the configuration classification defect data, switching quality defect data, switching cycle defect data, and switching axle defect data.

[0016] Optionally, the step of formulating a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data includes:

[0017] Based on the preset vehicle parameter switching requirements, the vehicle parameter switching cycle requirements and the vehicle parameter switching cancellation quantity requirements are obtained;

[0018] Determine the required end-user functions based on the defect data;

[0019] The vehicle parameter switching completion time is determined based on the vehicle parameter switching cycle requirements, the vehicle parameter switching cancellation quantity requirements, and the terminal demand functions.

[0020] Develop vehicle parameter switching strategies based on the vehicle parameter switching cycle requirements, vehicle parameter switching cancellation quantity requirements, and end-user demand functions.

[0021] A target vehicle parameter switching strategy is generated based on the vehicle parameter switching completion time and vehicle parameter switching countermeasures.

[0022] Optionally, the target vehicle parameter switching strategy includes: an old-to-new-part preparation time adjustment strategy and an order-to-material time switching strategy;

[0023] The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes:

[0024] Obtain preset planning improvement data, and generate a list of major changed assemblies based on the preset improvement data;

[0025] Based on the list of major changes to the assembly, a change order for the target parts is obtained.

[0026] Based on the parameters of the vehicle to be switched at the current moment, obtain the list of materials to be switched, the old parts to be changed, and the order-materials to be switched;

[0027] The old-to-new part preparation time adjustment strategy is used to switch the bill of materials to be switched and the old parts to be changed according to the target part change order;

[0028] Obtain the current old model configuration change list, and determine the target order - material change order based on the current old model configuration change list;

[0029] The order-material time switching strategy is used to switch the order-material to be switched according to the target order-material change order.

[0030] Optionally, the target vehicle parameter switching strategy includes: a dual-model material-model version switching strategy;

[0031] The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes:

[0032] The new model version number change program is developed using the MBOM development system based on the current vehicle parameters to be switched.

[0033] The target new model version number is determined according to the new model version number change procedure.

[0034] The dual-model material-model version switching strategy switches the model version number according to the target new model version number;

[0035] The production completion time of the old model is determined based on the parameters of the vehicle to be switched at the current moment, and the production schedule of the old model is locked at the same time.

[0036] When the production completion time is reached, the production schedule of the old model is switched according to the production schedule of the new model using the dual-model material-model version switching strategy.

[0037] Optionally, the target vehicle parameter switching strategy includes: developing a single switching strategy;

[0038] The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes:

[0039] The current workflow for transforming a change order into a switch order is obtained based on the parameters of the vehicle to be switched at the current moment;

[0040] The data to be compiled into part data, warehouse data, and work group data are obtained according to the compilation process described above.

[0041] Based on the parts data, warehouse data, and work group data to be compiled, develop and compile a switchover program.

[0042] The automated process for generating switchover orders is determined based on the aforementioned switchover order generation procedure.

[0043] The current compilation process is switched to an automated compilation switching process using the compilation switch strategy.

[0044] Optionally, after switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy, the method further includes:

[0045] Obtain the number of first vehicle order cancellations and the first switching time when the target vehicle parameter switching strategy is changed;

[0046] Obtain the second vehicle derivation number and the second switching time for directly switching vehicle parameters;

[0047] When the number of cancellations for the first vehicle is less than the number of cancellations for the second vehicle and the first switching time is less than the second switching time, the vehicle parameters of other vehicles are switched using the target vehicle parameter switching strategy.

[0048] Furthermore, to achieve the above objectives, the present invention also proposes a vehicle parameter switching device, the vehicle parameter switching device comprising:

[0049] The acquisition module is used to acquire the vehicle parameter switching data from historical moments and the vehicle parameters to be switched at the current moment;

[0050] The determination module is used to determine the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time.

[0051] The formulation module is used to formulate a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data.

[0052] The switching module is used to switch the parameters of the vehicle to be switched at the current moment according to the target vehicle parameter switching strategy.

[0053] Furthermore, to achieve the above objectives, the present invention also proposes a vehicle parameter switching device, which includes: a memory, a processor, and a vehicle parameter switching program stored in the memory and executable on the processor, wherein the vehicle parameter switching program is configured to implement the vehicle parameter switching method described above.

[0054] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing a vehicle parameter switching program, which, when executed by a processor, implements the vehicle parameter switching method as described above.

[0055] The vehicle parameter switching method proposed in this invention acquires historical vehicle parameter switching data and the vehicle parameters to be switched at the current time; determines defective data for switching the vehicle parameters based on the historical vehicle parameter switching data; formulates a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defective data; and switches the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy. Through this method, after determining the defective data of the vehicle parameters, a target vehicle parameter switching strategy is formulated in conjunction with preset vehicle parameter switching requirements, and then the vehicle parameters to be switched at the current time are switched using the target vehicle parameter switching strategy. This effectively improves the rationality of switching vehicle parameters, reduces the switching cycle, and decreases the number of vehicle order cancellations. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of the structure of the vehicle parameter switching device in the hardware operating environment involved in the embodiments of the present invention;

[0057] Figure 2 This is a flowchart illustrating the first embodiment of the vehicle parameter switching method of the present invention;

[0058] Figure 3 This is a flowchart illustrating the second embodiment of the vehicle parameter switching method of the present invention;

[0059] Figure 4 This is a functional module diagram of the first embodiment of the vehicle parameter switching device of the present invention.

[0060] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0061] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0062] Reference Figure 1 , Figure 1 This is a schematic diagram of the vehicle parameter switching device structure in the hardware operating environment involved in the embodiments of the present invention.

[0063] like Figure 1As shown, the vehicle parameter switching device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0064] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the vehicle parameter switching device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0065] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a vehicle parameter switching program.

[0066] exist Figure 1 In the vehicle parameter switching device shown, the network interface 1004 is mainly used for data communication with the network integrated platform workstation; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the vehicle parameter switching device of the present invention can be set in the vehicle parameter switching device, and the vehicle parameter switching device calls the vehicle parameter switching program stored in the memory 1005 through the processor 1001 and executes the vehicle parameter switching method provided in the embodiment of the present invention.

[0067] Based on the above hardware structure, an embodiment of the vehicle parameter switching method of the present invention is proposed.

[0068] Reference Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the vehicle parameter switching method of the present invention.

[0069] In the first embodiment, the vehicle parameter switching method includes the following steps:

[0070] Step S10: Obtain the vehicle parameter switching data from historical moments and the vehicle parameters to be switched at the current moment.

[0071] It should be noted that the execution subject in this embodiment is a vehicle parameter switching device, but it can also be other devices that can achieve the same or similar functions, such as a vehicle parameter switching system. This embodiment does not limit this, and in this embodiment, a vehicle parameter switching system is used as an example for explanation.

[0072] It should be understood that the switching data refers to the data of the missing parts vehicle parameters planned by the manufacturer's technical department research institute. For example, if the production switching date is December 1, 2019, the CV Technology Center will complete the model change order and issue it before October 22, 2019. For the second batch of switching models, the production switching date is December 10, 2019, and the CV Technology Center will complete the model change order and issue it before October 30, 2019. The vehicle parameters to be switched refer to the vehicle parameters that need to be switched at the current moment. These vehicle parameters include, but are not limited to, model, version number, price, and compilation process.

[0073] Step S20: Determine the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time.

[0074] It is understandable that defective data refers to data that is defective during the historical process of switching vehicle parameters. This defective data is determined based on the historical data of switching vehicle parameters.

[0075] Further, step S20 includes: acquiring vehicle parameter switching data from the previous moment in the historical time; obtaining automatic air conditioning omissions in the old parts list based on the vehicle parameter switching data from the previous moment; determining configuration classification defect data based on the automatic air conditioning omissions in the old parts list; performing in-depth defect analysis on the vehicle parameter switching data from the historical time and the vehicle parameter switching data from the previous moment using a preset defect analysis strategy to obtain switching quality defect data, switching cycle defect data, and switching axle defect data; and obtaining the vehicle parameter defect data based on the configuration classification defect data, switching quality defect data, switching cycle defect data, and switching axle defect data.

[0076] It should be understood that, for example, if the historical time is 2020 and the previous time is 2019, after obtaining the missing items for automatic air conditioning in the old parts list, configuration classification defect data is determined based on the missing items for automatic air conditioning. For example, this configuration classification defect data could be that the classification of platform configuration changes is not detailed enough. Then, the vehicle parameter switching data from the historical time and the vehicle parameter switching data from the previous time are compared. Through a preset defect analysis strategy, the results are compared from different dimensions to conduct in-depth defect analysis, resulting in switching quality defect data, switching cycle defect data, and switching axle defect data. The switching quality defect data includes, but is not limited to, a large number of production order cancellations, failure to verify in advance causing anomalies to affect batch orders, many production models checked daily making it easy to lose track, and long switching order preparation time. The switching cycle defect data includes, but is not limited to, long switching cycles, large and concentrated switching workload, and long preparation time for change parts comparison lists. The switching axle defect data could be that the switching time cannot meet the requirements. Then, the configuration classification defect data, switching quality defect data, switching cycle defect data, and switching axle defect data are used as vehicle parameter defect data.

[0077] Step S30: Formulate a target vehicle parameter switching strategy based on the preset vehicle parameter switching requirements and the defect data.

[0078] It should be understood that the target vehicle parameter switching strategy refers to the strategy for switching vehicle parameters. This target vehicle parameter switching strategy is generated by the vehicle parameter switching completion time and vehicle parameter switching countermeasures. The preset vehicle parameter switching requirements include, but are not limited to, vehicle parameter switching cycle requirements and the number of vehicle parameter switching cancellations. The vehicle parameter switching cycle requirements refer to ensuring a short vehicle switching cycle, and the number of vehicle parameter switching cancellations refers to minimizing the number of cancellations during the vehicle parameter switching process.

[0079] Step S40: Switch the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy.

[0080] Understandably, after formulating a target vehicle parameter switching strategy, switching the parameters of the vehicle to be switched at the current moment according to the target vehicle parameter switching strategy can effectively improve the rationality of switching vehicle parameters.

[0081] Further, step S40 includes: acquiring preset planning improvement data, generating a list of major assemblies with changes based on the preset improvement data; obtaining a target part change order based on the list of major assemblies with changes; obtaining a list of materials to be switched, old parts to be changed, and orders-materials to be switched based on the parameters of the vehicle to be switched at the current time; switching the list of materials to be switched and the old parts to be changed based on the target part change order using the old-parts-new-parts preparation time adjustment strategy; acquiring a current old model configuration change list, determining a target order-material change order based on the current old model configuration change list; and switching the order-materials to be switched based on the target order-material change order using the order-materials time switching strategy.

[0082] It should be understood that the preset planning improvement data refers to the improvement data based on the manufacturer's technical department's planning items. Then, a list of major changes to the assembly is generated based on the preset planning improvement data, and an early warning notice is issued for the major changes to the assembly. Raw materials and blanks are controlled. Then, a list of old and new parts for all changed parts is compiled based on the configuration change order for fine balancing. Then, the old parts to be changed across the year N+1 and W+2 are switched through the old-to-new part preparation time adjustment strategy, and the list of materials to be switched is switched. Optionally, major assembly and platform configuration changes include, but are not limited to, engines, transmissions, fuel tanks, steel wheels, front axles, rear axles, cabs, tires, balance suspension, integrated machine, track deviation, forward collision warning, 360° panoramic imaging, changing the cab front suspension to H6 suspension and changing the cab rear suspension to China VI structure.

[0083] Understandably, the current list of configuration changes for older models refers to the list compiled by the sales department. After compiling this list, the manufacturer issues a notice to stop accepting orders for the old prices, and then stops accepting orders after a period of time. They then check for unscheduled orders under the old price list to confirm whether the basic configuration of the corresponding models has changed. If the basic configuration remains unchanged, the Bill of Materials (BOM) is revised and approved. If there are changes but no unscheduled orders, the BOM is revised and approved. If there are unscheduled orders, the BOM is not revised and the order is not activated. Production scheduling is tracked daily, and risk assessments are conducted according to risk assessment standards. Verification intervals for production scheduling are set, and then the order-material time switching strategy is used to switch the order-material to be switched based on the target order-material change order.

[0084] Further, step S40 includes: developing a new model version number change program based on the parameters of the vehicle to be switched at the current moment using the MBOM development system; determining the target new model version number based on the new model version number change program; switching the model version number based on the target new model version number using the dual-model material-model version switching strategy; determining the production completion time of the old model based on the parameters of the vehicle to be switched at the current moment, and locking the production schedule of the old model; and when the production completion time is reached, switching the production schedule of the old model based on the production schedule of the new model using the dual-model material-model version switching strategy.

[0085] Understandably, after the vehicle parameters to be switched at the current moment are determined, a new model version number change procedure is developed using the MBOM development system. Before that, it is necessary to read the EBOM from the PLM according to the new scheme number and establish a new set of data, then delete the new model vehicle details, import the original MBOM details, and finally switch the model version number according to the target new model version number through the dual model material-model version switching strategy.

[0086] It should be understood that after the old model stops accepting orders, the production completion time of the old model is obtained, and the production schedule of the old model is locked. Then, the new model starts accepting orders, and the verification of the first unit of the new configuration order is carried out. Since the new model and the old model cannot be produced at the same time, the production schedule of the new model is opened after the old model is locked.

[0087] Further, step S40 includes: obtaining the current compilation process for changing the change order into a change order based on the parameters of the vehicle to be switched at the current time; obtaining the data of parts to be compiled, warehouse data, and work group data based on the compilation process; developing a change order compilation program based on the data of parts to be compiled, warehouse data, and work group data; determining an automated change order compilation process based on the change order compilation program; and switching the current compilation process to an automated change order compilation process through the change order switching strategy.

[0088] It should be understood that after obtaining the parameters of the vehicle to be switched at the current moment, the process of manually compiling the switch order is determined based on the parameters of the vehicle to be switched at the current moment. That is, the data to be compiled is the part data, warehouse data, and team data. Then, the program for compiling the switch order is developed on the production accuracy collaboration platform. Then, the current compilation process is switched through the compilation order switching strategy. At this time, the automated compilation process of the switch order can quickly compile the switch order.

[0089] It should be noted that the target vehicle parameter switching strategy in this embodiment can also switch the original D+7 production scheduling to D+10 production scheduling, reducing the number of unscheduled orders from 5,800 to 4,900, and reducing the number of models with configuration changes and unscheduled orders from 65 to 43. It can also switch to automated tracking of model production scheduling, that is, developing an automated tracking application on the production management system, and then automatically tracking the production schedule date from the start time, and then checking the model production schedule date at any time. It can also switch orders in batches at different times, manage model drawings in a single table, and quickly compile a list of comparison between new and old parts.

[0090] Furthermore, after step S40, the method further includes: obtaining the number of first vehicle cancellations and the first switching time for the target vehicle parameter switching strategy; obtaining the number of second vehicles whose parameters are directly switched and the second switching time; and when the number of first vehicle cancellations is less than the number of second vehicle conversions and the first switching time is less than the second switching time, switching the vehicle parameters of other vehicles using the target vehicle parameter switching strategy.

[0091] It is understandable that the first vehicle order cancellation number refers to the number of vehicle orders cancelled after switching using the target vehicle parameter switching strategy, and the first switching time refers to the time spent switching vehicle parameters using the target vehicle parameter switching strategy. The second vehicle order cancellation number refers to the number of vehicle orders cancelled after switching using the conventional method, and the second switching time refers to the time spent directly switching vehicle parameters using the conventional method. Then, it is determined whether the first vehicle order cancellation number is less than the second vehicle order cancellation number, and whether the first switching time is less than the second switching time. If so, it indicates that the target vehicle parameter switching strategy has the advantages of fewer vehicle order cancellations and shorter time consumption compared to other conventional switching methods. At this time, the vehicle parameters of other vehicles can be switched using the target vehicle parameter switching strategy. For example, the first vehicle order cancellation number is 8 vehicles, the first switching time is 3 days, the second vehicle order cancellation number is 45 vehicles, and the second switching time is 9 days.

[0092] This embodiment acquires historical vehicle parameter switching data and the vehicle parameters to be switched at the current time; determines defective data for switching the vehicle parameters based on the historical vehicle parameter switching data; formulates a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defective data; and switches the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy. By determining the defective data of the vehicle parameters, formulating a target vehicle parameter switching strategy in conjunction with preset vehicle parameter switching requirements, and then switching the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy, the rationality of switching vehicle parameters can be effectively improved, and the switching cycle and the number of vehicle order cancellations can be reduced.

[0093] In one embodiment, such as Figure 3 The second embodiment of the vehicle parameter switching method of the present invention, based on the first embodiment, includes step S30, which includes:

[0094] Step S301: Obtain the vehicle parameter switching cycle requirement and the vehicle parameter switching cancellation quantity requirement based on the preset vehicle parameter switching requirements.

[0095] It should be understood that the vehicle parameter switching cycle requirement refers to the cycle requirement required to switch vehicle parameters. For example, the vehicle parameter switching cycle requirement can be no more than 5 days. The vehicle parameter switching cancellation quantity requirement refers to the number of vehicles that need to be cancelled after switching vehicle parameters. For example, the vehicle parameter switching cancellation quantity requirement can be no more than 10 vehicles.

[0096] Step S302: Determine the end-user required functions based on the defect data.

[0097] Understandably, the end-user demand functions include, but are not limited to, the earlier date from January 1st to December 1st, the inability to use the original base time, the lack of detailed classification of platform configuration changes, the requirement that unscheduled orders must be returned before switching, the requirement that orders that cannot be returned must be locked before switching, the requirement that old configurations are still being accepted for production while new configurations cannot be verified, the requirement to enter and query production schedule dates for each vehicle model, the large workload of switching and the concentration of these changes, and the long time required to manually compile the list of old and new parts converted from change orders.

[0098] Step S303: Determine the vehicle parameter switching completion time based on the vehicle parameter switching cycle requirements, the vehicle parameter switching cancellation quantity requirements, and the terminal demand function.

[0099] It should be understood that the vehicle parameter switching completion time refers to the completion time of switching vehicle parameters through vehicle parameter switching countermeasures. For example, the completion time of the old part to new part preparation time adjustment strategy is September 30, and the completion time of the order to material time switching strategy is October 30.

[0100] Step S304: Formulate vehicle parameter switching countermeasures based on the vehicle parameter switching cycle requirements, the vehicle parameter switching cancellation quantity requirements, and the terminal demand functions.

[0101] Understandably, vehicle parameter switching strategies refer to the countermeasures used when switching vehicle parameters. For example, if the end-user demand function is moved from January 1st of next year to December 1st of this year, and the original base time cannot be used, the vehicle parameter switching strategy would be to rearrange the control plans for old and new parts, orders, and BOMs.

[0102] The table switching plan is the strategy for adjusting the preparation time between old and new parts.

[0103] Step S305: Generate a target vehicle parameter switching strategy based on the vehicle parameter switching completion time and vehicle parameter switching countermeasures.

[0104] It should be understood that after determining the vehicle parameter switching completion time and vehicle parameter switching countermeasures, a target vehicle parameter switching strategy is generated based on the vehicle parameter switching completion time and vehicle parameter switching countermeasures.

[0105] 5. This embodiment obtains the vehicle parameter switching cycle requirement and the vehicle parameter switching order cancellation quantity requirement based on preset vehicle parameter switching requirements; determines the end-user demand function based on the defect data; formulates the vehicle parameter switching completion time based on the vehicle parameter switching cycle requirement, the vehicle parameter switching order cancellation quantity requirement, and the end-user demand function; and determines the vehicle parameter switching completion time based on the vehicle parameter switching cycle requirement and the vehicle parameter switching order cancellation quantity requirement.

[0106] The system formulates vehicle parameter switching strategies based on quantity requirements and end-user demand functions; it generates a target vehicle parameter switching strategy based on the vehicle parameter switching completion time and vehicle parameter switching strategies; through the above method, the preset vehicle parameter switching requirements are divided into vehicle parameter switching cycle requirements and vehicle parameter switching order cancellation quantity requirements, and then vehicle parameter switching completion time and vehicle parameter switching strategies are formulated according to the vehicle parameter switching cycle requirements and vehicle parameter switching order cancellation quantity requirements respectively, and then the target vehicle parameter switching strategy is generated according to the vehicle parameter switching completion time and vehicle parameter switching strategies, thereby effectively improving the accuracy of generating the target vehicle parameter switching strategy.

[0107] Furthermore, this embodiment of the invention also proposes a storage medium storing a vehicle parameter switching program, which, when executed by a processor, implements the steps of the vehicle parameter switching method described above.

[0108] Since this storage medium adopts all the technical solutions of all the above embodiments, it has at least all the beneficial effects brought about by the technical solutions of the above embodiments, which will not be repeated here.

[0109] In addition, refer to Figure 4 The present invention also proposes a vehicle parameter switching device, the vehicle parameter switching device comprising:

[0110] The acquisition module 10 is used to acquire the vehicle parameter switching data of historical time and the vehicle parameters to be switched at the current time.

[0111] The determination module 20 is used to determine the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time.

[0112] The formulation module 30 is used to formulate a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data.

[0113] The switching module 40 is used to switch the parameters of the vehicle to be switched at the current moment through the target vehicle parameter switching strategy.

[0114] This embodiment acquires historical vehicle parameter switching data and the vehicle parameters to be switched at the current time; determines defective data for switching the vehicle parameters based on the historical vehicle parameter switching data; formulates a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defective data; and switches the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy. By determining the defective data of the vehicle parameters, formulating a target vehicle parameter switching strategy in conjunction with preset vehicle parameter switching requirements, and then switching the vehicle parameters to be switched at the current time using the target vehicle parameter switching strategy, the rationality of switching vehicle parameters can be effectively improved, and the switching cycle and the number of vehicle order cancellations can be reduced.

[0115] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0116] In addition, for technical details not described in detail in this embodiment, please refer to the vehicle parameter switching method provided in any embodiment of the present invention, which will not be repeated here.

[0117] Other embodiments or implementation methods of the vehicle parameter switching device described in this invention can be found in the above-described method embodiments, and will not be repeated here.

[0118] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0119] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0120] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, all-in-one platform workstation, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0121] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for switching vehicle parameters, characterized in that, The vehicle parameter switching method includes the following steps: Obtain the vehicle parameter switching data from historical moments and the vehicle parameters to be switched at the current moment; Determine the defect data for switching the vehicle parameters based on the vehicle parameter switching data at the historical time. Develop a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data; The target vehicle parameter switching strategy is used to switch the parameters of the vehicle to be switched at the current moment. The step of determining the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time includes: Obtain the switching data of the vehicle parameters from the previous historical moment; The missing items for automatic air conditioning in the old parts list are obtained based on the vehicle parameter switching data from the previous moment. Based on the missing items in the old parts list for automatic air conditioning, the configuration classification defect data is determined; By using a preset defect analysis strategy, in-depth defect analysis is performed on the switching data of vehicle parameters at the historical time and the switching data of vehicle parameters at the previous time to obtain switching quality defect data, switching cycle defect data, and switching axle defect data. The defect data of the vehicle parameters is obtained based on the configuration classification defect data, switching quality defect data, switching cycle defect data, and switching axle defect data. The step of formulating a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data includes: Based on the preset vehicle parameter switching requirements, the vehicle parameter switching cycle requirements and the vehicle parameter switching cancellation quantity requirements are obtained; Determine the required end-user functions based on the defect data; The vehicle parameter switching completion time is determined based on the vehicle parameter switching cycle requirements, the vehicle parameter switching cancellation quantity requirements, and the terminal demand functions. Develop vehicle parameter switching strategies based on the vehicle parameter switching cycle requirements, vehicle parameter switching cancellation quantity requirements, and end-user demand functions. A target vehicle parameter switching strategy is generated based on the vehicle parameter switching completion time and vehicle parameter switching countermeasures.

2. The vehicle parameter switching method as described in claim 1, characterized in that, The target vehicle parameter switching strategy includes: old parts to new parts preparation time adjustment strategy and order to material time switching strategy; The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes: Obtain preset planning improvement data, and generate a list of major changed assemblies based on the preset improvement data; Based on the list of major changes to the assembly, a change order for the target parts is obtained. Based on the parameters of the vehicle to be switched at the current moment, obtain the list of materials to be switched, the old parts to be changed, and the order-materials to be switched; The old-to-new part preparation time adjustment strategy is used to switch the bill of materials to be switched and the old parts to be changed according to the target part change order; Obtain the current old model configuration change list, and determine the target order - material change order based on the current old model configuration change list; The order-material time switching strategy is used to switch the order-material to be switched according to the target order-material change order.

3. The vehicle parameter switching method as described in claim 1, characterized in that, The target vehicle parameter switching strategy includes: dual-model material-model version switching strategy; The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes: The new model version number change program is developed using the MBOM development system based on the current vehicle parameters to be switched. The target new model version number is determined according to the new model version number change procedure. The dual-model material-model version switching strategy switches the model version number according to the target new model version number; The production completion time of the old model is determined based on the parameters of the vehicle to be switched at the current moment, and the production schedule of the old model is locked at the same time. When the production completion time is reached, the production schedule of the old model is switched according to the production schedule of the new model using the dual-model material-model version switching strategy.

4. The vehicle parameter switching method as described in claim 1, characterized in that, The target vehicle parameter switching strategy includes: developing a single switching strategy; The step of switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy includes: The current workflow for transforming a change order into a switch order is obtained based on the parameters of the vehicle to be switched at the current moment; The data to be compiled into part data, warehouse data, and work group data are obtained according to the compilation process described above. Based on the parts data, warehouse data, and work group data to be compiled, develop and compile a switchover program. The automated process for generating switchover orders is determined based on the aforementioned switchover order generation procedure. The current compilation process is switched to an automated compilation switching process using the compilation switch strategy.

5. The vehicle parameter switching method as described in any one of claims 1 to 4, characterized in that, After switching the parameters of the vehicle to be switched at the current moment using the target vehicle parameter switching strategy, the method further includes: Obtain the number of first vehicle order cancellations and the first switching time when the target vehicle parameter switching strategy is changed; Obtain the second vehicle derivation number and the second switching time for directly switching vehicle parameters; When the number of cancellations for the first vehicle is less than the number of cancellations for the second vehicle and the first switching time is less than the second switching time, the vehicle parameters of other vehicles are switched using the target vehicle parameter switching strategy.

6. A vehicle parameter switching device, characterized in that, The vehicle parameter switching device includes: The acquisition module is used to acquire the vehicle parameter switching data from historical moments and the vehicle parameters to be switched at the current moment; The determination module is used to determine the defect data for switching the vehicle parameters based on the switching data of the vehicle parameters at the historical time. The formulation module is used to formulate a target vehicle parameter switching strategy based on preset vehicle parameter switching requirements and the defect data. The switching module is used to switch the parameters of the vehicle to be switched at the current moment according to the target vehicle parameter switching strategy; The determining module is further configured to: acquire vehicle parameter switching data from the previous moment in the historical time; obtain automatic air conditioning omissions in the old parts list based on the vehicle parameter switching data from the previous moment; determine configuration classification defect data based on the automatic air conditioning omissions in the old parts list; perform in-depth defect analysis on the vehicle parameter switching data from the historical time and the vehicle parameter switching data from the previous moment using a preset defect analysis strategy to obtain switching quality defect data, switching cycle defect data, and switching axle defect data; and obtain vehicle parameter defect data based on the configuration classification defect data, switching quality defect data, switching cycle defect data, and switching axle defect data. The formulation module is further configured to obtain vehicle parameter switching cycle requirements and vehicle parameter switching order cancellation quantity requirements based on preset vehicle parameter switching requirements; determine end-user demand functions based on the defect data; formulate vehicle parameter switching completion time based on the vehicle parameter switching cycle requirements, vehicle parameter switching order cancellation quantity requirements, and end-user demand functions; formulate vehicle parameter switching countermeasures based on the vehicle parameter switching cycle requirements, vehicle parameter switching order cancellation quantity requirements, and end-user demand functions; and generate a target vehicle parameter switching strategy based on the vehicle parameter switching completion time and vehicle parameter switching countermeasures.

7. A vehicle parameter switching device, characterized in that, The vehicle parameter switching device includes: a memory, a processor, and a vehicle parameter switching program stored in the memory and executable on the processor, wherein the vehicle parameter switching program is configured to implement the vehicle parameter switching method as described in any one of claims 1 to 5.

8. A storage medium, characterized in that, The storage medium stores a vehicle parameter switching program, which, when executed by a processor, implements the vehicle parameter switching method as described in any one of claims 1 to 5.

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