Vehicle configuration combination generation method and device, electronic equipment and storage medium

Abstract

The invention discloses a vehicle configuration combination generation method and device, electronic equipment and a storage medium, and relates to the technical field of vehicles. The method comprises the following steps: determining each configuration item which can be configured by a target vehicle model, a vehicle production quantity corresponding to each configuration item, and a target production quantity of the target vehicle model, and obtaining a historical quantity ratio corresponding to a historical configuration item combination of the target vehicle model; and generating at least one configuration item combination based on a set configuration item combination constraint rule, a historical quantity ratio corresponding to the historical configuration item combination, each configuration item, the vehicle production quantity corresponding to each configuration item and the target production quantity of the target vehicle type, and obtaining the vehicle production quantity corresponding to each configuration item combination. The accuracy of the vehicle configuration item combination can be improved, so that the generated configuration item combination better conforms to the purchase expectation of consumers, and the problem that cold vehicle models are excessive or hot vehicle models are short of supply is solved.

Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a method, device, electronic device and storage medium for generating a vehicle configuration combination. Background Art

[0002] Currently, vehicle dealers often predict production vehicle configurations based on experience and expectations, which leads to deviations between the prediction results and consumers' actual purchasing preferences. In other words, there is a deviation between the vehicle configuration combinations predicted by vehicle dealers and the vehicle configuration combinations actually purchased by consumers, resulting in an oversupply of unpopular models or a shortage of popular models. Summary of the invention

[0003] In response to the above technical problems, the embodiments of the present application provide a vehicle configuration combination generation method, device, electronic device and storage medium, which can improve the accuracy of vehicle configuration item combinations, make the generated configuration item combinations more in line with consumers' purchasing expectations, and improve the problem of excess unpopular models or shortage of hot-selling models.

[0004] The technical solution of this application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for generating a vehicle configuration combination, comprising:

[0006] Determine each configuration item that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model;

[0007] Based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, at least one configuration item combination is generated, and the vehicle production quantity corresponding to each configuration item combination is obtained;

[0008] Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

[0009] In some embodiments, the configuration items that can be configured for the target vehicle model include standard configuration items and optional configuration items, wherein the standard configuration items are mandatory configuration items for the target vehicle model, and the optional configuration items are optional configuration items for the target vehicle model;

[0010] The generating at least one configuration item combination based on the set configuration item combination constraint rule, the historical quantity proportion corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtaining the vehicle production quantity corresponding to each configuration item combination, includes:

[0011] Based on the set configuration item combination constraint rule, the options included in the configuration items, and the vehicle production quantities corresponding to the options, at least one option combination is generated, and the vehicle production quantities corresponding to the option combinations are obtained;

[0012] Based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to the standard items, the at least one optional item combination, the vehicle production quantities corresponding to the optional item combinations, and the target production quantity of the target vehicle model, the at least one configuration item combination is generated, and the vehicle production quantities corresponding to the configuration item combinations are obtained;

[0013] Based on the historical quantity proportions corresponding to the historical configuration item combinations, the vehicle production quantities corresponding to the at least one configuration item combination and each of the configuration item combinations are corrected.

[0014] In some embodiments, the generating of the at least one configuration item combination and obtaining the vehicle production quantity corresponding to each of the configuration item combinations based on the set configuration item combination constraint rule, the standard items included in each of the configuration items, the vehicle production quantity corresponding to each of the standard items, the at least one optional item combination, the vehicle production quantity corresponding to each of the optional item combinations, and the target production quantity of the target vehicle model comprises:

[0015] The standard configuration items included in the configuration items are grouped into feature groups to obtain at least one standard configuration item feature group; the standard configuration items included in each of the standard configuration item feature groups have different functions or uses;

[0016] Based on the set configuration item combination constraint rule, each of the standard configuration items in each of the standard configuration item feature families is added to each of the optional item combinations to obtain the at least one configuration item combination;

[0017] Based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations, the vehicle production quantity corresponding to each of the configuration item combinations is determined.

[0018] In some embodiments, determining the vehicle production quantity corresponding to each of the configuration item combinations based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model, and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations includes:

[0019] Determining the proportion of vehicle production quantity corresponding to each of the option combinations based on the vehicle production quantity corresponding to each of the option combinations and the target production quantity of the target vehicle model;

[0020] The vehicle production quantity corresponding to each of the optional item combinations is multiplied by the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations.

[0021] In some embodiments, after multiplying the vehicle production quantity proportions corresponding to each of the optional item combinations and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations, the method further includes:

[0022] When it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, the target configuration item combination is deleted from each of the configuration item combinations.

[0023] In some embodiments, when it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, after deleting the target configuration item combination from each of the configuration item combinations, the method further includes:

[0024] When it is determined that the sum of the vehicle production quantities corresponding to each of the configuration item combinations is less than the target production quantity of the target vehicle model, generating a configuration item combination including only the standard configuration items;

[0025] The configuration item combination including only the standard items is added to each of the configuration item combinations, so that the sum of the production quantities corresponding to each of the configuration item combinations is equal to the target production quantity of the target vehicle model.

[0026] In some embodiments, the configuration item combination constraint rule includes a one-way derivation rule, a two-way derivation rule, and a multiple-choice rule;

[0027] The one-way derivation rule is used to constrain that one specific configuration item must select another specific configuration item;

[0028] The bidirectional derivation rule is used to constrain that any one of the two specific configuration items must select the other of the two specific configuration items;

[0029] The multiple-select-one rule is used to constrain only one configuration item to be selected from multiple specific configuration items.

[0030] In a second aspect, an embodiment of the present application provides a vehicle configuration combination generating device, comprising:

[0031] A determination module is used to determine the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model;

[0032] A generation module, configured to generate at least one configuration item combination based on set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the vehicle production quantity corresponding to each configuration item combination;

[0033] Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory and a processor, wherein the memory is used to store executable data instructions; when the processor is used to execute the executable data instructions stored in the memory, the steps in the vehicle configuration combination generation method described in the first aspect are implemented.

[0035] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps in the vehicle configuration combination generation method described in the first aspect are implemented.

[0036] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements the steps in the vehicle configuration combination generation method described in the first aspect.

[0037] The vehicle configuration combination generation method, device, electronic device and storage medium provided in the embodiments of the present application determine the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model, and then generate at least one configuration item combination based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, each configuration item, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the vehicle production quantity corresponding to each configuration item combination; in this way, the embodiments of the present application generate configuration item combinations by combining the historical quantity ratio corresponding to the historical configuration item combination and setting the configuration item combination constraint rules, which can improve the accuracy of the vehicle configuration item combination, make the generated configuration item combination more in line with the consumer's purchase expectations, and improve the problem of oversupply of unpopular models or shortage of hot-selling models. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 One of the flow charts of a vehicle configuration combination generation method provided in an embodiment of the present application;

[0040] Figure 2 A second flow chart of a method for generating a vehicle configuration combination provided in an embodiment of the present application;

[0041] Figure 3 A third flow chart of a method for generating a vehicle configuration combination provided in an embodiment of the present application;

[0042] Figure 4 A fourth flowchart of a method for generating a vehicle configuration combination provided in an embodiment of the present application;

[0043] Figure 5 A schematic diagram of the structure of a vehicle configuration combination generating device provided in an embodiment of the present application;

[0044] Figure 6 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] The following is an illustrative introduction to the vehicle configuration combination generation method, device, electronic device and storage medium provided in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application.

[0047] Figure 1 One of the flow charts of a vehicle configuration combination generation method provided in an embodiment of the present application is as follows: Figure 1 As shown, the method includes:

[0048] S101. Determine each configuration item that can be configured for a target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain a historical quantity ratio corresponding to a historical configuration item combination of the target vehicle model.

[0049] It should be noted that the execution subject of the vehicle configuration combination generation method provided in the embodiment of the present application can be an electronic device, a component in an electronic device, an integrated circuit or a chip. The electronic device can be a mobile electronic device or a non-mobile electronic device. For example, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a wearable device, an ultra-mobile personal computer (Ultra-mobile Personal Computer, UMPC), a netbook or a personal digital assistant (Personal Digital Assistant, PDA), etc., and the non-mobile electronic device can be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (Personal Computer, PC), a teller machine or a self-service machine, etc., and the embodiment of the present application does not specifically limit this.

[0050] The following takes the vehicle configuration combination generation method provided by the embodiment of the present application executed by a computer as an example to describe in detail the technical solution of the embodiment of the present application.

[0051] It should be noted that the configuration items that can be configured for different models may be the same or different. In the embodiment of the present application, the target model can be any model, including but not limited to new energy models, sedans, sports cars, pickup trucks and sports utility vehicles (SUV).

[0052] For example, for new energy vehicles, the various configuration items that can be configured include but are not limited to: body appearance configuration (body color, body decoration, hidden electric door handles), power performance and endurance (battery pack, drive motor, fast charging technology, cruising range) and comfort configuration (electric seat adjustment, seat heating / ventilation, panoramic sunroof, air purification system).

[0053] For example, for a sports car, the various configuration items that can be configured include but are not limited to: body appearance configuration (body color, body material, body size), safety and protection configuration (panoramic monitoring system, airbags) and power performance configuration (engine, turbocharger / supercharger, drive mode, suspension system, braking system).

[0054] In some embodiments, historical production data of the target vehicle model may be obtained, historical configuration item combinations of the target vehicle model may be counted based on the historical production data, and historical quantity ratios corresponding to the historical configuration item combinations of the target vehicle model may be determined.

[0055] For example, the historical order maintenance of the target model represents the four-segment code of the whole vehicle configuration, such as: SC6481EDA6HEV.CNH2001+00034.LC7. Among them, SC6481EDA6HEV is the basic code of the target model, CNH2001+00034 is the production batch / serial number, and LC7 is the configuration information code (which may contain multiple configuration items). By parsing LC7, specific configuration items can be obtained (for example, 21-inch wheels, mist green body, 50w charger). By performing statistical analysis on all historical orders of the target model, the historical quantity proportion of each configuration item can be obtained, and then the historical quantity proportion corresponding to different historical configuration item combinations can be obtained.

[0056] In some embodiments, the vehicle production quantity corresponding to each configuration item that can be configured for the target vehicle model and the target production quantity of the target vehicle model can be determined based on the user's current order and in combination with the user's historical orders.

[0057] S102. Based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, generate at least one configuration item combination, and obtain the vehicle production quantity corresponding to each configuration item combination.

[0058] Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

[0059] It should be noted that setting the configuration item combination constraint rule can constrain at least one configuration item included in the generated configuration item combination. For example, for the target vehicle model, only one of configuration item A and configuration item B can be selected; for another example, for the target vehicle model, if configuration item A is selected, configuration item C must be selected.

[0060] In the embodiment of the present application, based on the set configuration item combination constraint rules, the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item and the target production quantity of the target vehicle model, and combined with the historical quantity proportion corresponding to the historical configuration item combination, at least one configuration item combination can be generated, and the vehicle production quantity corresponding to each configuration item combination can be obtained. Among them, each generated configuration item combination includes at least one configuration item.

[0061] In some embodiments, based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item and the target production quantity of the target vehicle model, at least one configuration item combination can be generated using a traditional reasoning algorithm or a deep learning algorithm, and the vehicle production quantity corresponding to each configuration item combination can be obtained.

[0062] It can be understood that the vehicle configuration combination generation method provided in the embodiment of the present application determines the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtains the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model, and then generates at least one configuration item combination based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, each configuration item, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtains the vehicle production quantity corresponding to each configuration item combination; in this way, the embodiment of the present application generates configuration item combinations by combining the historical quantity ratio corresponding to the historical configuration item combination and setting the configuration item combination constraint rules, which can improve the accuracy of the vehicle configuration item combination, make the generated configuration item combination more in line with the consumer's purchasing expectations, and improve the problem of oversupply of unpopular models or shortage of hot-selling models.

[0063] In some embodiments, the configuration items that can be configured for the target vehicle model include standard configuration items and optional configuration items, wherein the standard configuration items are mandatory configuration items for the target vehicle model, and the optional configuration items are optional configuration items for the target vehicle model;

[0064] The generating at least one configuration item combination based on the set configuration item combination constraint rule, the historical quantity proportion corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtaining the vehicle production quantity corresponding to each configuration item combination, includes:

[0065] Based on the set configuration item combination constraint rule, the options included in the configuration items, and the vehicle production quantities corresponding to the options, at least one option combination is generated, and the vehicle production quantities corresponding to the option combinations are obtained;

[0066] Based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to the standard items, the at least one optional item combination, the vehicle production quantities corresponding to the optional item combinations, and the target production quantity of the target vehicle model, the at least one configuration item combination is generated, and the vehicle production quantities corresponding to the configuration item combinations are obtained;

[0067] Based on the historical quantity proportions corresponding to the historical configuration item combinations, the vehicle production quantities corresponding to the at least one configuration item combination and each of the configuration item combinations are corrected.

[0068] It should be noted that the configuration items that can be configured for the target vehicle model can be divided into standard items and optional items, where standard items are mandatory configuration items for the target vehicle model, and optional items are optional configuration items for the target vehicle model. For example, standard items may include: vehicle power system (core components such as engine and transmission), safety configuration (brake assist system, airbag, etc.), basic control configuration (steering wheel, brake, accelerator, clutch, etc.), body structure (body, door, window, roof, etc.), basic comfort configuration (air conditioning, seat adjustment, etc.); optional items may include: advanced power performance configuration (high-performance engine, larger brake disc, more advanced suspension system), advanced safety configuration (panoramic monitoring system, lane departure warning, automatic emergency braking, etc.), intelligent technology configuration (navigation system, car networking function, intelligent driving assistance system, etc.), personalized appearance configuration (body color, body decoration, wheel style, etc.).

[0069] In an embodiment of the present application, at least one option item combination can be first generated based on the set configuration item combination constraint rules, the optional items included in each configuration item that can be configured by the target vehicle model, and the vehicle production quantity corresponding to each optional item, and the vehicle production quantity corresponding to each option item is obtained. Then, based on the set configuration item combination constraint rules, the standard items included in each configuration item that can be configured by the target vehicle model, the vehicle production quantity corresponding to each standard item, the at least one option item combination generated previously, the vehicle production quantity corresponding to each option item combination, and the target production quantity of the target vehicle model, at least one configuration item combination is generated, and the vehicle production quantity corresponding to each configuration item combination is obtained. Then, based on the proportion of historical quantities corresponding to historical configuration item combinations, the generated at least one configuration item combination and the vehicle production quantity corresponding to each configuration item combination are corrected to obtain a configuration item combination that is more in line with user preferences or user expectations and the vehicle production quantity corresponding to each configuration item combination.

[0070] In some embodiments, the options included in the configuration items that can be configured for the target vehicle model can be grouped into feature families according to type, function or purpose, and only one option can be selected from each feature family group. Then, based on the feature family grouping, the configuration item combination constraint rules and the vehicle production quantity corresponding to each option, at least one option combination is generated, and the vehicle production quantity corresponding to each option combination is obtained.

[0071] For example, Figure 2 A second flow chart of a method for generating a vehicle configuration combination provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the method includes:

[0072] S201. Determine each configuration item that can be configured for a target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain a historical quantity ratio corresponding to a historical configuration item combination of the target vehicle model.

[0073] S202: Based on the set configuration item combination constraint rules, the options included in the configuration items, and the vehicle production quantities corresponding to the options, generate at least one option combination, and obtain the vehicle production quantities corresponding to the option combinations.

[0074] S203, based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to each of the standard items, the at least one optional item combination, the vehicle production quantities corresponding to each of the optional item combinations, and the target production quantity of the target vehicle model, generate at least one configuration item combination, and obtain the vehicle production quantities corresponding to each of the configuration item combinations.

[0075] S204: Based on the historical quantity proportions corresponding to the historical configuration item combinations, correct at least one configuration item combination and the vehicle production quantities corresponding to each of the configuration item combinations.

[0076] It should be noted that, for the description of the same steps and the same contents in this embodiment as those in other embodiments, reference can be made to the description in other embodiments and will not be repeated here.

[0077] It can be understood that the embodiment of the present application generates at least one option combination based on the set configuration item combination constraint rule, the optional items included in each configuration item that can be configured by the target vehicle model, and the vehicle production quantity corresponding to each optional item, and obtains the vehicle production quantity corresponding to each option combination. Then, based on the set configuration item combination constraint rule, the standard items included in each configuration item that can be configured by the target vehicle model, the vehicle production quantity corresponding to each standard item, the at least one option combination generated previously, the vehicle production quantity corresponding to each option combination, and the target production quantity of the target vehicle model, at least one configuration item combination is generated, and the vehicle production quantity corresponding to each configuration item combination is obtained. Then, based on the historical quantity proportion corresponding to the historical configuration item combination, the generated at least one configuration item combination and the vehicle production quantity corresponding to each configuration item combination are corrected, so that the configuration item combination that is more in line with the user's preference or user's expectation and the vehicle production quantity corresponding to each configuration item combination can be obtained, and the accurate planning of the vehicle production quantity and configuration combination is effectively realized, and the vehicle inventory backlog and capital occupation cost caused by overproduction or improper configuration can be reduced.

[0078] In some embodiments, the generating of the at least one configuration item combination and obtaining the vehicle production quantity corresponding to each of the configuration item combinations based on the set configuration item combination constraint rule, the standard items included in each of the configuration items, the vehicle production quantity corresponding to each of the standard items, the at least one optional item combination, the vehicle production quantity corresponding to each of the optional item combinations, and the target production quantity of the target vehicle model comprises:

[0079] The standard configuration items included in the configuration items are grouped into feature groups to obtain at least one standard configuration item feature group; the standard configuration items included in each of the standard configuration item feature groups have different functions or uses;

[0080] Based on the set configuration item combination constraint rule, each of the standard configuration items in each of the standard configuration item feature families is added to each of the optional item combinations to obtain the at least one configuration item combination;

[0081] Based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations, the vehicle production quantity corresponding to each of the configuration item combinations is determined.

[0082] In the embodiment of the present application, the standard configuration items included in the various configuration items that can be configured for the target vehicle model can be grouped into feature families to obtain at least one standard configuration item feature family. For example, the standard configuration items included in the various configuration items that can be configured for the target vehicle model include but are not limited to the engine, transmission, drive mode, and brake system, etc., and the feature families are grouped according to function or purpose to obtain the following standard configuration item feature families: engine feature family, transmission feature family, drive mode feature family, and brake system feature family.

[0083] In the embodiment of the present application, based on the set configuration item combination constraint rule, each standard item in each standard item feature family can be added to each optional item combination generated previously to obtain at least one configuration item combination. It can be understood that each obtained configuration item combination includes standard items and optional items.

[0084] In some embodiments, the vehicle production quantity corresponding to each configuration item combination can be determined based on the vehicle production quantity corresponding to each optional item combination, the target production quantity of the target vehicle model, and the vehicle production quantity corresponding to each standard item in each configuration item combination, using a relevant mathematical reasoning algorithm.

[0085] For example, Figure 3 A third flow chart of a method for generating a vehicle configuration combination provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the method includes:

[0086] S301. Determine each configuration item that can be configured for a target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain a historical quantity ratio corresponding to a historical configuration item combination of the target vehicle model.

[0087] S302: Based on the set configuration item combination constraint rules, the options included in the configuration items, and the vehicle production quantities corresponding to the options, generate at least one option combination, and obtain the vehicle production quantities corresponding to the option combinations.

[0088] S303, grouping the standard configuration items included in the configuration items into feature groups to obtain at least one standard configuration item feature group; the standard configuration items included in each of the standard configuration item feature groups have different functions or uses.

[0089] S304: Based on the set configuration item combination constraint rule, each of the standard configuration items in each of the standard configuration item feature families is added to each of the optional item combinations to obtain at least one configuration item combination.

[0090] S305: Determine the vehicle production quantity corresponding to each of the configuration item combinations based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model, and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations.

[0091] S306: Based on the historical quantity proportions corresponding to the historical configuration item combinations, correct at least one configuration item combination and the vehicle production quantities corresponding to each of the configuration item combinations.

[0092] It should be noted that, for the description of the same steps and the same contents in this embodiment as those in other embodiments, reference can be made to the description in other embodiments and will not be repeated here.

[0093] It can be understood that the embodiment of the present application ensures the rationality of resource allocation by adding standard items to the optional item combination based on the set configuration item combination constraint rules; moreover, by grouping the standard items into feature families and determining the configuration item combination based on production demand, it effectively realizes the precise planning of vehicle production quantity and configuration combination, which can reduce vehicle inventory backlog and capital occupation costs caused by overproduction or improper configuration.

[0094] In some embodiments, determining the vehicle production quantity corresponding to each of the configuration item combinations based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model, and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations includes:

[0095] Determining the proportion of vehicle production quantity corresponding to each of the option combinations based on the vehicle production quantity corresponding to each of the option combinations and the target production quantity of the target vehicle model;

[0096] The vehicle production quantity corresponding to each of the optional item combinations is multiplied by the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations.

[0097] In some embodiments, the vehicle production quantity corresponding to each option combination can be divided by the target production quantity of the target vehicle model to obtain the vehicle production quantity ratio corresponding to each option combination, and then the vehicle production quantity ratio corresponding to each option combination can be multiplied by the vehicle production quantity corresponding to each standard item in each configuration item combination to obtain the vehicle production quantity corresponding to each configuration item combination.

[0098] In some embodiments, the standard items included in the configuration items that can be configured for the target vehicle model can first be grouped into feature families to obtain multiple standard item feature families T1, T2, ..., Tn; then, according to the multiple standard item feature families T1, T2, ..., Tn, the configuration items are combined in sequence: the standard items T11, T12, ...T1n in the T1 feature family are added to the previously generated optional item combinations C1, C2, ..., Cn, and the vehicle production quantity proportions corresponding to each optional item combination C1, C2, ..., Cn are multiplied by the vehicle production quantity corresponding to each standard item in T1 to obtain the vehicle production quantity corresponding to the combinations C1T11, C1T12, ..., C1T1n, C2T11, C2T12, ..., CNT1n; according to the above steps, the standard items in the standard item feature families T2, ...Tn are added to the combination in sequence to finally obtain the configuration item combination.

[0099] For example, Figure 4 A fourth flow chart of a method for generating a vehicle configuration combination provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the method includes:

[0100] S401, determining each configuration item that can be configured for a target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtaining a historical quantity ratio corresponding to a historical configuration item combination of the target vehicle model.

[0101] S402: Based on the set configuration item combination constraint rules, the options included in the configuration items, and the vehicle production quantities corresponding to the options, generate at least one option combination, and obtain the vehicle production quantities corresponding to the option combinations.

[0102] S403, grouping the standard configuration items included in the configuration items into feature groups to obtain at least one standard configuration item feature group; the standard configuration items included in each of the standard configuration item feature groups have different functions or uses.

[0103] S404: based on the set configuration item combination constraint rule, add each of the standard configuration items in each of the standard configuration item feature families to each of the optional item combinations to obtain at least one configuration item combination.

[0104] S405: Determine the proportion of the vehicle production quantity corresponding to each of the option combinations based on the vehicle production quantity corresponding to each of the option combinations and the target production quantity of the target vehicle model.

[0105] S406: Multiply the vehicle production quantity proportions corresponding to each of the optional item combinations by the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations.

[0106] S407: Based on the historical quantity proportions corresponding to the historical configuration item combinations, correct at least one configuration item combination and the vehicle production quantities corresponding to each of the configuration item combinations.

[0107] It should be noted that, for the description of the same steps and the same contents in this embodiment as those in other embodiments, reference can be made to the description in other embodiments and will not be repeated here.

[0108] It can be understood that the embodiment of the present application calculates the proportion of vehicle production quantity corresponding to each option item combination, and then multiplies the proportion of vehicle production quantity corresponding to each option item combination and the vehicle production quantity corresponding to each standard item in each configuration item combination, so as to accurately predict the vehicle production quantity of different configuration item combinations.

[0109] In some embodiments, after multiplying the vehicle production quantity proportions corresponding to each of the optional item combinations and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations, the method further includes:

[0110] When it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, the target configuration item combination is deleted from each of the configuration item combinations.

[0111] In an embodiment of the present application, after obtaining the vehicle production quantity corresponding to each configuration item combination, if the vehicle production quantity corresponding to the target configuration item combination in each configuration item combination is less than 1, the target configuration item combination predicted is invalid, and the target configuration item combination can be deleted to achieve the purpose of optimizing the configuration item combination.

[0112] In some embodiments, when it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, after deleting the target configuration item combination from each of the configuration item combinations, the method further includes:

[0113] When it is determined that the sum of the vehicle production quantities corresponding to each of the configuration item combinations is less than the target production quantity of the target vehicle model, generating a configuration item combination including only the standard configuration items;

[0114] The configuration item combination including only the standard items is added to each of the configuration item combinations, so that the sum of the production quantities corresponding to each of the configuration item combinations is equal to the target production quantity of the target vehicle model.

[0115] In an embodiment of the present application, if it is determined that the sum of the vehicle production quantities corresponding to each predicted configuration item combination is less than the target production quantity of the target vehicle model, it indicates that the production quantity of the currently predicted configuration item combination does not meet the production demand of the target vehicle model. At this time, a configuration item combination including only standard items can be generated, and then these configuration item combinations including only standard items can be used to supplement and meet the production demand of the target vehicle model.

[0116] It can be understood that the generated quantity of the configuration item combination including only standard items can be determined based on the difference between the sum of the predicted vehicle production quantities corresponding to each configuration item combination and the target production quantity of the target vehicle model.

[0117] For example, the sum of the predicted vehicle production quantities corresponding to each configuration item combination is 80, and the target production quantity of the target vehicle model is 100. Then the generated quantity of the configuration item combination that only includes standard items is 100-80=20.

[0118] It can be understood that the embodiment of the present application can ensure that the target production quantity of the target vehicle model is achieved by supplementing the configuration item combination that only includes standard items, thereby avoiding the problem of supply exceeding demand due to insufficient production.

[0119] In some embodiments, the configuration item combination constraint rule includes a one-way derivation rule, a two-way derivation rule, and a multiple-choice rule;

[0120] The one-way derivation rule is used to constrain that one specific configuration item must select another specific configuration item;

[0121] The bidirectional derivation rule is used to constrain that any one of the two specific configuration items must select the other of the two specific configuration items;

[0122] The multiple-select-one rule is used to constrain only one configuration item to be selected from multiple specific configuration items.

[0123] It can be understood that the one-way derivation rule is used to constrain one specific configuration item to select another specific configuration item, which can ensure the consistency and dependency between the configuration items.

[0124] For example, when combining configuration items, if configuration item A (premium audio system) is selected, the one-way derivation rule constraint requires configuration item B (navigation system) to be selected at the same time. This is because premium audio system and navigation system usually complement each other, and users are likely to want a navigation system while selecting a premium audio system.

[0125] It can be understood that the bidirectional derivation rule is used to constrain that any one of the two specific configuration items must select the other of the two specific configuration items, which can ensure the dependency and integrity between the configuration items.

[0126] For example, when combining configuration items, if configuration item C (blind spot monitoring system) is selected, the two-way derivation rule constraint must also select configuration item D (lane keeping assist system); conversely, if configuration item D (lane keeping assist system) is selected, the two-way derivation rule constraint must also select configuration item C (blind spot monitoring system). This is because both the blind spot monitoring system and the lane keeping assist system are important configurations for improving driving safety. The blind spot monitoring system focuses on the blind spots on both sides of the vehicle, while the lane keeping assist system focuses on the vehicle's driving trajectory. The two complement each other and work together to improve the driver's ability to control the vehicle and driving safety.

[0127] It can be understood that the multiple-choice rule is used to constrain that only one configuration item can be selected from multiple specific configuration items, thereby ensuring the rationality and consistency of the vehicle configuration.

[0128] For example, when combining configuration items, only one of the optional configuration items E (gasoline engine), configuration item F (diesel engine), configuration item G (hybrid system) and configuration item H (pure electric system) can be selected. This is because different power system configurations will affect the overall performance and structure of the vehicle, so multiple power systems cannot be selected at the same time.

[0129] It can be understood that the embodiment of the present application can avoid conflicts between different configuration items and ensure the rationality and consistency of vehicle configuration by constraining the configuration item combination based on the set configuration item combination constraint rules including one-way deduction rules, two-way deduction rules and multiple-choice rules.

[0130] In some embodiments, the configuration items can first be grouped into feature families by type, and the number of configuration items in the same feature family grouping group in the combined configuration item combination cannot be greater than or equal to two (for example, 19-inch wheels and 21-inch wheels are classified into one category, and 19-inch wheels and 21-inch wheels cannot be in the same configuration item combination at the same time); then, the vehicle production quantity corresponding to each configuration item combination is calculated based on the configuration item combination result and the corresponding configuration item proportion, as well as the historical quantity proportion corresponding to the historical configuration item combination and the target production quantity of the target vehicle model; then, based on the set configuration item combination constraint rules, the generated configuration item combination is checked to determine whether there is a configuration item conflict, the conflicting configuration item combination is deleted, and supplemented with a configuration item combination without optional items (there are only standard items in the configuration item combination) to meet the target production quantity requirement of the target vehicle model.

[0131] It can be understood that the embodiment of the present application can reasonably combine vehicle configuration item combinations close to the user's order by analyzing the historical order data of the target vehicle model configuration combination to obtain the historical quantity ratio corresponding to the historical configuration item combination, and combining it with the set configuration item combination constraint rules, so that the vehicle model configuration prediction is positively correlated with the actual sales configuration of the vehicle model, thereby reducing the backlog of inventory vehicles.

[0132] The vehicle configuration combination generating device provided in an embodiment of the present application is described below. The vehicle configuration combination generating device described below and the vehicle configuration combination generating method described above can refer to each other.

[0133] Figure 5 A schematic diagram of the structure of a vehicle configuration combination generating device provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes: a determination module 510 and a generation module 520; wherein:

[0134] The determination module 510 is used to determine the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model;

[0135] A generation module 520 is used to generate at least one configuration item combination based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the vehicle production quantity corresponding to each configuration item combination;

[0136] Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

[0137] The vehicle configuration combination generating device provided in the embodiment of the present application determines the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtains the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model, and then generates at least one configuration item combination based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, each configuration item, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtains the vehicle production quantity corresponding to each configuration item combination; in this way, the embodiment of the present application generates configuration item combinations by combining the historical quantity ratio corresponding to the historical configuration item combination and setting the configuration item combination constraint rules, which can improve the accuracy of the vehicle configuration item combination, make the generated configuration item combination more in line with the consumer's purchasing expectations, and improve the problem of oversupply of unpopular models or shortage of hot-selling models.

[0138] In some embodiments, the configuration items that can be configured for the target vehicle model include standard items and optional items, the standard items are mandatory configuration items for the target vehicle model, and the optional items are optional configuration items for the target vehicle model; the generation module 520 includes:

[0139] A first generating unit is configured to generate at least one option combination based on the set configuration item combination constraint rule, the options included in the configuration items, and the vehicle production quantities corresponding to the options, and obtain the vehicle production quantities corresponding to the options combinations;

[0140] A second generating unit is configured to generate the at least one configuration item combination based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to the standard items, the at least one optional item combination, the vehicle production quantities corresponding to the optional item combinations, and the target production quantity of the target vehicle model, and obtain the vehicle production quantities corresponding to the configuration item combinations;

[0141] A correction unit is used to correct the vehicle production quantity corresponding to the at least one configuration item combination and each of the configuration item combinations based on the historical quantity proportion corresponding to the historical configuration item combination.

[0142] In some embodiments, the second generating unit is further used for: grouping the standard items included in the configuration items into feature families to obtain at least one standard item feature family; the standard items included in each of the standard item feature families have different functions or uses; based on the set configuration item combination constraint rules, adding each of the standard items in the standard item feature families to each of the optional item combinations to obtain the at least one configuration item combination; determining the vehicle production quantities corresponding to each of the configuration item combinations based on the vehicle production quantities corresponding to each of the optional item combinations, the target production quantity of the target vehicle model and the vehicle production quantities corresponding to each of the standard items in each of the configuration item combinations.

[0143] In some embodiments, the second generating unit is further used to: determine the proportion of vehicle production quantity corresponding to each of the option item combinations based on the vehicle production quantity corresponding to each of the option item combinations and the target production quantity of the target vehicle model; multiply the proportion of vehicle production quantity corresponding to each of the option item combinations by the vehicle production quantity corresponding to each of the standard items in the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations.

[0144] In some embodiments, after multiplying the vehicle production quantity proportion corresponding to each of the optional item combinations and the vehicle production quantity corresponding to each of the standard items in the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations, the second generating unit is further used to: when it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, delete the target configuration item combination from each of the configuration item combinations.

[0145] In some embodiments, when it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, after deleting the target configuration item combination from each of the configuration item combinations, the second generating unit is also used to: when it is determined that the sum of the vehicle production quantities corresponding to each of the configuration item combinations is less than the target production quantity of the target vehicle model, generate a configuration item combination that only includes the standard items; and add the configuration item combination that only includes the standard items to each of the configuration item combinations so that the sum of the production quantities corresponding to each of the configuration item combinations is equal to the target production quantity of the target vehicle model.

[0146] In some embodiments, the configuration item combination constraint rules include unidirectional deduction rules, bidirectional deduction rules and multiple-choice rules; the unidirectional deduction rules are used to constrain that one specific configuration item must select another specific configuration item; the bidirectional deduction rules are used to constrain that any one of two specific configuration items must select another specific configuration item of the two specific configuration items; the multiple-choice rule is used to constrain that only one configuration item is selected from multiple specific configuration items.

[0147] It should be noted here that the above-mentioned vehicle configuration combination generation device provided in the embodiment of the present application can implement all the method steps implemented in the above-mentioned vehicle configuration combination generation method embodiment, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0148] Figure 6 A schematic diagram of the physical structure of an electronic device provided in an embodiment of the present application, such as Figure 6 As shown, the electronic device may include: a processor 610, a communication interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communication interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may execute executable data instructions stored in the memory 630 to implement some or all steps in the vehicle configuration combination generation method provided in the above embodiments.

[0149] In addition, the executable data instructions stored in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the embodiment of the present application can be essentially or partly reflected in the form of a software product that contributes to the relevant technology. The software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program code.

[0150] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, some or all of the steps in the vehicle configuration combination generation method provided in the above embodiments are implemented.

[0151] An embodiment of the present application also provides a computer program product, which includes a computer program or instructions. When the computer program or instructions are executed by a processor, some or all of the steps in the vehicle configuration combination generation method provided in the above embodiments are implemented.

[0152] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0153] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the embodiments of the present application may adopt the form of hardware embodiments, software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0154] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0155] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0156] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0157] The above description is merely an optional embodiment of the present application and is not intended to limit the protection scope of the present application.

Claims

1. A vehicle configuration combination generation method, characterized in that: include: Determine each configuration item that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model; Based on the set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, at least one configuration item combination is generated, and the vehicle production quantity corresponding to each configuration item combination is obtained; Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

2. The vehicle configuration combination generation method according to claim 1, characterized in that: The configuration items that can be configured for the target vehicle model include standard configuration items and optional configuration items, wherein the standard configuration items are mandatory configuration items for the target vehicle model, and the optional configuration items are optional configuration items for the target vehicle model; The generating at least one configuration item combination based on the set configuration item combination constraint rule, the historical quantity proportion corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtaining the vehicle production quantity corresponding to each configuration item combination, includes: Based on the set configuration item combination constraint rule, the options included in the configuration items, and the vehicle production quantities corresponding to the options, at least one option combination is generated, and the vehicle production quantities corresponding to the option combinations are obtained; Based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to the standard items, the at least one optional item combination, the vehicle production quantities corresponding to the optional item combinations, and the target production quantity of the target vehicle model, the at least one configuration item combination is generated, and the vehicle production quantities corresponding to the configuration item combinations are obtained; Based on the historical quantity proportions corresponding to the historical configuration item combinations, the vehicle production quantities corresponding to the at least one configuration item combination and each of the configuration item combinations are corrected.

3. The vehicle configuration combination generation method according to claim 2, characterized in that: The generating the at least one configuration item combination based on the set configuration item combination constraint rule, the standard items included in the configuration items, the vehicle production quantities corresponding to the standard items, the at least one optional item combination, the vehicle production quantities corresponding to the optional item combinations, and the target production quantity of the target vehicle model, and obtaining the vehicle production quantities corresponding to the configuration item combinations, includes: The standard configuration items included in the configuration items are grouped into feature groups to obtain at least one standard configuration item feature group; the standard configuration items included in each of the standard configuration item feature groups have different functions or uses; Based on the set configuration item combination constraint rule, each of the standard configuration items in each of the standard configuration item feature families is added to each of the optional item combinations to obtain the at least one configuration item combination; Based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations, the vehicle production quantity corresponding to each of the configuration item combinations is determined.

4. The vehicle configuration combination generation method according to claim 3, characterized in that: The determining the vehicle production quantity corresponding to each of the configuration item combinations based on the vehicle production quantity corresponding to each of the optional item combinations, the target production quantity of the target vehicle model, and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations, includes: Determining the proportion of vehicle production quantity corresponding to each of the option combinations based on the vehicle production quantity corresponding to each of the option combinations and the target production quantity of the target vehicle model; The vehicle production quantity corresponding to each of the optional item combinations is multiplied by the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations.

5. The vehicle configuration combination generation method according to claim 4, characterized in that: After multiplying the vehicle production quantity proportions corresponding to each of the optional item combinations and the vehicle production quantity corresponding to each of the standard items in each of the configuration item combinations to obtain the vehicle production quantity corresponding to each of the configuration item combinations, the method further includes: When it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, the target configuration item combination is deleted from each of the configuration item combinations.

6. The vehicle configuration combination generation method according to claim 5, characterized in that: In the case where it is determined that the vehicle production quantity corresponding to the target configuration item combination in each of the configuration item combinations is less than 1, after deleting the target configuration item combination from each of the configuration item combinations, the method further includes: When it is determined that the sum of the vehicle production quantities corresponding to each of the configuration item combinations is less than the target production quantity of the target vehicle model, generating a configuration item combination including only the standard configuration items; The configuration item combination including only the standard items is added to each of the configuration item combinations, so that the sum of the production quantities corresponding to each of the configuration item combinations is equal to the target production quantity of the target vehicle model.

7. The vehicle configuration combination generation method according to any one of claims 1 to 6, characterized in that: The configuration item combination constraint rules include one-way derivation rules, two-way derivation rules and multiple-choice rules; The one-way derivation rule is used to constrain that one specific configuration item must select another specific configuration item; The bidirectional derivation rule is used to constrain that any one of the two specific configuration items must select the other of the two specific configuration items; The multiple-select-one rule is used to constrain only one configuration item to be selected from multiple specific configuration items.

8. A vehicle configuration combination generating device, characterized in that: include: A determination module is used to determine the configuration items that can be configured for the target vehicle model, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the historical quantity ratio corresponding to the historical configuration item combination of the target vehicle model; A generation module, configured to generate at least one configuration item combination based on set configuration item combination constraint rules, the historical quantity ratio corresponding to the historical configuration item combination, the configuration items, the vehicle production quantity corresponding to each configuration item, and the target production quantity of the target vehicle model, and obtain the vehicle production quantity corresponding to each configuration item combination; Each of the configuration item combinations includes at least one of the configuration items; and the set configuration item combination constraint rule is used to constrain at least one of the configuration items included in each of the generated configuration item combinations.

9. An electronic device, characterized in that: include: A memory for storing executable data instructions; A processor is used to implement the steps in the vehicle configuration combination generation method according to any one of claims 1 to 7 when executing the executable data instructions stored in the memory.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the vehicle configuration combination generation method according to any one of claims 1 to 7 are implemented.

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