CN111950072A - Full-vehicle configuration management method and system - Google Patents

Full-vehicle configuration management method and system Download PDF

Info

Publication number
CN111950072A
CN111950072A CN201910355851.0A CN201910355851A CN111950072A CN 111950072 A CN111950072 A CN 111950072A CN 201910355851 A CN201910355851 A CN 201910355851A CN 111950072 A CN111950072 A CN 111950072A
Authority
CN
China
Prior art keywords
configuration
vehicle
vehicle type
feature
configuration feature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910355851.0A
Other languages
Chinese (zh)
Other versions
CN111950072B (en
Inventor
徐举宏
万海峰
陈杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SAIC Motor Corp Ltd
Original Assignee
SAIC Motor Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SAIC Motor Corp Ltd filed Critical SAIC Motor Corp Ltd
Priority to CN201910355851.0A priority Critical patent/CN111950072B/en
Publication of CN111950072A publication Critical patent/CN111950072A/en
Application granted granted Critical
Publication of CN111950072B publication Critical patent/CN111950072B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0621Item configuration or customization
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application discloses a complete vehicle configuration management method, which comprises the following steps: receiving vehicle type configuration conditions input by an external user, traversing all configuration feature families including a specified engineering basic vehicle type in an engineering vehicle type, configuration relations and a rule matrix, dividing the configuration feature families into a relevant group and a non-relevant group, adding configuration feature codes in each configuration feature family after grouping to a matching set or an excluding set according to a matching result of the vehicle type configuration conditions by using an algorithm, adding configuration feature codes which cannot be directly determined to a set to be confirmed, then adding the configuration feature codes to a matching set or an excluding set in a circulating traversal mode until all configuration feature codes of configuration feature families in a related group and a non-related group are added to the matching set or the excluding set, and then generating a finished automobile configuration combination based on the configuration feature codes of the matching set, realizing the free customization of the finished automobile based on the user requirements, and improving the user experience. The application also discloses a complete vehicle configuration management system.

Description

Full-vehicle configuration management method and system
Technical Field
The application relates to the field of vehicle configuration, in particular to a full-vehicle configuration management method and system.
Background
With the development of scientific technology, vehicles have become a wider range of transportation and transportation means. The vehicle is composed of a plurality of parts, and different types of vehicle products can be assembled by combining the parts according to certain configuration.
According to the traditional vehicle product configuration method, a plurality of vehicle types meeting the requirements of most users are determined for the users to select according to market requirements and according to market requirement information, such as the requirements of the users on various functions and the bearing capacity of different prices.
However, the configuration combination opened to the user by the configuration method is limited, and cannot meet the personalized requirements of the user, so that free customization based on the requirements of the user is difficult to realize.
Disclosure of Invention
In view of this, the present application provides a complete vehicle configuration method, which constructs a whole set of logic rules, algorithms and systems by using the fact axiom that "any vehicle's functional features must be composed of optional features plus basic features" and "a configuration feature family is only related to limited other configuration feature families". And carrying out logic operation and continuous iteration on the engineering vehicle type and the configuration relation matrix by using a complete vehicle configuration circulating iterative algorithm, and finally automatically screening configuration characteristics matched with vehicle type configuration conditions input by an external user to generate a complete vehicle configuration combination, thereby realizing the free customization of the complete vehicle based on the user requirements. Correspondingly, the application also provides a complete vehicle configuration management system.
The first aspect of the application provides a complete vehicle configuration management method, which is applied to a complete vehicle configuration management system, wherein a complete configuration characteristic base, an engineering vehicle type and configuration relation, a rule matrix and a complete vehicle configuration circulating iterative algorithm are maintained in the complete vehicle configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the method comprises the following steps:
receiving vehicle type configuration conditions input by an external user through a finished vehicle customization interface of the finished vehicle full-configuration management system, wherein the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and a selected configuration characteristic code;
traversing all configuration feature families containing the specified engineering basic vehicle types in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the relevance of the configuration feature families and the vehicle type configuration conditions;
for each configuration feature family in the relevant group and the non-relevant group, adding configuration feature codes matched with the vehicle type configuration condition in the configuration feature family to a matching set by using the whole vehicle configuration loop iteration algorithm, adding configuration feature codes unmatched with the vehicle type configuration condition in the feature family to an exclusion set, and adding configuration feature codes which cannot be determined to be matched with the vehicle type configuration condition in the configuration feature family to a set to be confirmed; determining whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration conditions or not in a circular traversal mode by combining the engineering vehicle type, the configuration relation and the rule matrix, the matching set, the excluding set and the whole vehicle configuration circular iterative algorithm, and adding the configuration feature codes into the corresponding sets until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added into the matching set or the excluding set;
generating a whole vehicle configuration combination matched with the vehicle type configuration condition according to the configuration feature codes in the matching set;
and displaying the whole vehicle configuration combination.
Optionally, traversing all configuration feature families including the specified engineering base vehicle type in the engineering vehicle type, configuration relationship and rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the correlation with the vehicle type configuration condition includes:
determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items, wherein the specified items comprise n rows, and n is a positive integer;
traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup;
and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a configuration feature subgroup, regarding each configuration feature subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature subgroup as a related group, and otherwise, taking the configuration feature subgroup as a non-related group.
Optionally, adding the configuration feature codes in the configuration feature family, which are matched with the vehicle type configuration condition, to a matching set by using a complete vehicle configuration grouping loop iteration algorithm, and adding the configuration feature codes in the configuration feature family, which are not matched with the vehicle type configuration condition, to an exclusion set includes:
adding a first configuration feature code to a matching set, and adding the rest configuration feature codes in a configuration feature family to which the first configuration feature code belongs to an exclusion set;
wherein the first configuration feature code is a configuration feature code that matches the vehicle type configuration condition.
Optionally, the method further includes:
receiving an internal constraint condition input by an internal user through an internal management interface of the whole vehicle full configuration management system;
adding configuration feature codes matched with the vehicle type configuration conditions in the configuration feature family to a matching set by using the whole vehicle configuration loop iterative algorithm, and adding configuration feature codes unmatched with the vehicle type configuration conditions in the feature family to an excluding set, wherein the steps of:
adding configuration feature codes matched with the vehicle type configuration conditions and the internal constraint conditions in the feature family to a matching set and adding configuration feature codes which are not matched with the vehicle type configuration conditions and not matched with the internal constraint conditions in the feature family to an excluding set by using a whole vehicle configuration grouping loop iterative algorithm;
the determining whether the vehicle model configuration condition is matched or not in a circulating traversal mode comprises the following steps:
and determining whether the vehicle type configuration conditions are matched with the internal constraint conditions or not in a circulating traversal mode.
Optionally, the entire vehicle configuration management system further maintains an intelligent recommendation policy:
the method further comprises the following steps:
determining a finished automobile configuration combination matched with the intelligent recommendation strategy according to the finished automobile configuration combination and the intelligent recommendation strategy;
the displaying the finished vehicle configuration combination comprises:
and displaying the vehicle configuration combination matched with the intelligent recommendation strategy.
Optionally, the intelligent recommendation policy includes any one or more of an inventory priority policy, a value priority policy, and a traffic time priority policy.
Optionally, when the vehicle configuration combination includes multiple vehicle configuration combinations;
the method further comprises the following steps:
and responding to a selection operation triggered by an external user, and sending the whole vehicle configuration combination selected by the external user to a downstream material management system so as to determine a material list corresponding to the whole vehicle configuration combination.
The second aspect of the application provides a complete vehicle configuration management system, wherein a complete configuration characteristic base, an engineering vehicle type and configuration relation, a rule matrix and a complete vehicle configuration cycle iterative algorithm are maintained in the complete vehicle configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the whole vehicle full configuration management system comprises:
the system comprises a receiving module, a display module and a display module, wherein the receiving module is used for receiving vehicle type configuration conditions input by an external user through a vehicle customization interface of the vehicle full-configuration management system, and the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and a selected configuration characteristic code;
the grouping module is used for traversing all configuration feature families containing the specified engineering basic vehicle types in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the correlation with the vehicle type configuration conditions;
a screening module, configured to, for each configuration feature family in the relevant group and the non-relevant group, add, by using the whole-vehicle configuration loop iteration algorithm, a configuration feature code in the configuration feature family that matches the vehicle type configuration condition to a matching set, add, in the configuration feature family, a configuration feature code that does not match the vehicle type configuration condition to an exclusion set, and add, in the configuration feature family, a configuration feature code that cannot determine whether the configuration feature code matches the vehicle type configuration condition to a set to be confirmed; the screening module is further configured to determine whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration conditions in a circular traversal manner by combining the engineering vehicle type, the configuration relationship and the rule matrix, the matching set, the excluding set and the whole vehicle configuration circular iteration algorithm, and add the configuration feature codes to the corresponding set until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added to the matching set or the excluding set;
the generating module is used for generating a whole vehicle configuration combination matched with the vehicle type configuration condition according to the configuration feature codes in the matching set;
and the display module is used for displaying the whole vehicle configuration combination.
Optionally, the grouping module is specifically configured to:
determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items, wherein the specified items comprise n rows, and n is a positive integer;
traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup;
and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a configuration feature subgroup, regarding each configuration feature subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature subgroup as a related group, and otherwise, taking the configuration feature subgroup as a non-related group.
Optionally, the screening module is specifically configured to:
adding a first configuration feature code to a matching set, and adding the rest configuration feature codes in a configuration feature family to which the first configuration feature code belongs to an exclusion set;
wherein the first configuration feature code is a configuration feature code that matches the vehicle type configuration condition.
Optionally, the receiving module is further configured to:
receiving an internal constraint condition input by an internal user through an internal management interface of the whole vehicle full configuration management system;
the screening module is specifically configured to, when adding the configuration feature codes in the configuration feature family that match the vehicle type configuration condition to a matching set and adding the configuration feature codes in the feature family that do not match the vehicle type configuration condition to an exclusion set by using the vehicle configuration loop iteration algorithm:
adding configuration feature codes matched with the vehicle type configuration conditions and the internal constraint conditions in the feature family to a matching set and adding configuration feature codes which are not matched with the vehicle type configuration conditions and not matched with the internal constraint conditions in the feature family to an excluding set by using a whole vehicle configuration grouping loop iterative algorithm;
when determining whether the vehicle type configuration condition is matched with the screening module in a circular traversal mode, the screening module is specifically configured to:
and determining whether the vehicle type configuration conditions are matched with the internal constraint conditions or not in a circulating traversal mode.
Optionally, the entire vehicle configuration management system further maintains an intelligent recommendation policy:
the device further comprises:
the determining module is used for determining a finished automobile configuration combination matched with the intelligent recommendation strategy according to the finished automobile configuration combination and the intelligent recommendation strategy;
the display module is specifically configured to:
and displaying the vehicle configuration combination matched with the intelligent recommendation strategy.
Optionally, the intelligent recommendation policy includes any one or more of an inventory priority policy, a value priority policy, and a traffic time priority policy.
Optionally, when the vehicle configuration combination includes multiple vehicle configuration combinations;
the device further comprises:
and the sending module is used for responding to the selection operation triggered by the external user and sending the whole vehicle configuration combination selected by the external user to a downstream material management system so as to determine a material list corresponding to the whole vehicle configuration combination.
According to the technical scheme, the embodiment of the application has the following advantages:
the embodiment of the application provides a complete vehicle configuration management method which is realized based on a complete vehicle configuration management system, specifically, an external user inputs vehicle type configuration conditions, the complete vehicle configuration management system can automatically traverse engineering vehicle types, configuration relations and rule matrixes to obtain configuration feature families containing specified engineering basic vehicle types, the configuration feature families are divided into relevant groups and non-relevant groups according to the correlation with the vehicle type configuration conditions, and for each configuration feature family in the relevant groups and the non-relevant groups, a complete vehicle configuration cyclic iteration algorithm is utilized to add configuration feature codes in the configuration feature families to a matching set or exclude the set according to the matching result with the vehicle type configuration conditions, wherein the configuration feature codes which cannot be directly determined are firstly added to a set to be confirmed, and then the matching set, the engineering vehicle types, the configuration relations and the rule matrixes are combined, The excluding set and the whole vehicle configuration cycle iterative algorithm add the configuration feature codes in the set to be confirmed to the matching set or the excluding set in a cycle traversal mode until all the configuration feature codes of the feature families in the related group and the non-related group are added to the matching set or the excluding set, and then generate a whole vehicle configuration combination matched with the vehicle type configuration conditions based on the configuration feature codes of the matching set, so that the free customization of the whole vehicle based on the user requirements is realized, the method is not limited to a plurality of configuration combinations provided by the market, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a vehicle full configuration management method according to an embodiment of the present application;
fig. 2 is a flowchart of a vehicle full configuration management method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a vehicle full configuration management system in an embodiment of the present application;
fig. 4 is a hardware architecture diagram of a vehicle full configuration management system in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Aiming at the technical problems that the traditional vehicle product configuration method in the prior art is limited in configuration combination issued to users, cannot meet the personalized requirements of the users and is difficult to realize free customization based on the requirements of the users, the application provides a complete vehicle configuration management method, which is realized by determining configuration feature codes matched with vehicle type configuration conditions input by external users from a vehicle type, a configuration relation and a rule matrix through a complete vehicle configuration cycle iteration algorithm, wherein the complete vehicle configuration cycle iteration algorithm is an algorithm which performs logical operation and cycle iteration on an engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that functional features of any vehicle are bound to be composed of optional configuration features and basic configuration features and one configuration feature family is only related to limited other configuration feature families and finally determines all configuration feature codes matched with the vehicle type configuration conditions input by the external users, and the engineering vehicle type, the configuration relation and the rule matrix describe the engineering basic vehicle type, the configuration characteristics and the constraint relation among different configuration characteristics, so that after vehicle type configuration conditions comprising the engineering basic vehicle type and the selected configuration characteristics are input, the engineering vehicle type and the configuration relation, namely the configuration characteristic family in the rule matrix can be firstly grouped based on the correlation with the vehicle type configuration conditions, then the configuration characteristic codes matched with the vehicle type configuration conditions are determined from the engineering vehicle type, the configuration relations and the rule matrix respectively through a whole vehicle configuration circulation iterative algorithm aiming at the grouped configuration characteristic family, a whole vehicle configuration combination is generated based on the configuration characteristic codes, the free customization of the whole vehicle based on user requirements is realized, the whole vehicle configuration combination is not limited to a plurality of configuration combinations provided by the market, and the user experience is improved.
It can be understood that the vehicle full configuration management method provided by the embodiment of the present application may be applied to a terminal, where the terminal refers to any user equipment capable of processing data, including but not limited to: desktop computers, notebook computers, smart phones or tablet computers and the like. During specific implementation, the whole vehicle full-configuration management method is stored in the terminal in the form of an application program, and the terminal executes the application program to implement the whole vehicle full-configuration management method provided by the application.
It should be noted that the entire vehicle configuration management method provided in the embodiment of the present application may also be cooperatively executed by a terminal or a server, for example, the terminal receives a vehicle type configuration condition, sends the vehicle type configuration condition to the server, determines an entire vehicle configuration combination matched with the vehicle type configuration condition by the server, sends the entire vehicle configuration combination to the terminal, and displays the entire vehicle configuration combination by the terminal.
For convenience of understanding, the entire vehicle configuration management method provided by the present application is described below with a terminal as an execution subject. Next, from the perspective of a terminal, a method for managing the entire vehicle configuration provided by the embodiment of the present application will be described.
Referring to a flow chart of a complete vehicle configuration management method shown in fig. 1, the method is applied to a terminal, a complete vehicle configuration management system is configured on the terminal, and a complete configuration characteristic base, an engineering vehicle type and configuration relation, a rule matrix and a complete vehicle configuration cycle iterative algorithm are maintained in the complete vehicle configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the method comprises the following steps:
s101: and receiving vehicle type configuration conditions input by an external user through a finished vehicle customization interface of the finished vehicle full-configuration management system, wherein the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and a selected configuration characteristic code.
In this embodiment, the users may be divided into two types, one type is an external user, specifically, a user who needs to perform vehicle customization, and only inputs vehicle type configuration conditions to the entire vehicle full configuration management system, but cannot process the inside of the integrated configuration system, and the other type is an internal user, specifically, a user who can set internal constraint conditions in the entire vehicle full configuration management system, and the internal user may specifically be a salesperson, a logistics worker, a financial worker, and the like.
Specifically, the terminal is configured with a complete vehicle complete configuration management system, the complete vehicle complete configuration management system is provided with a complete vehicle customization interface, the complete vehicle customization interface displays the engineering basic vehicle type for customization and optional configuration characteristics, and an external user can input vehicle type configuration conditions through the complete vehicle customization interface, wherein the vehicle type configuration conditions comprise the specified engineering basic vehicle type and the selected configuration characteristic codes. As an example of the present application, the vehicle type configuration condition input by the external user may be (UI2CP 2; C00R), where UI2CP2 is the engineering base vehicle type specified by the external user, i.e., the specified engineering base vehicle type, and C00R is the configuration feature code selected by the external user, i.e., the selected configuration feature code.
It should be noted that the designated engineering base vehicle model and the selected configuration feature code input by the user come from the engineering vehicle model and configuration relationship and rule matrix, which is described in detail below.
S102: and traversing all configuration feature families including the specified engineering basic vehicle type in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the relevance of the configuration feature families and the vehicle type configuration conditions.
The engineering vehicle type and configuration relation and the rule matrix I describe constraint relations between engineering basic vehicle types and configuration characteristics and between different configuration characteristics, and can be represented by a multi-dimensional variable array. The multidimensional variable array comprises a configuration feature family, a configuration feature family category, a configuration feature, an engineering base vehicle type, a constraint relation (namely a vehicle type configuration relation constraint formula) between the engineering base vehicle type and the configuration feature, and a configuration feature applicability identifier, which can be respectively represented by matrixes C1, C2, C3, C4, C5 and C6, and based on this, the engineering vehicle type, the configuration relation and the rule matrix I can be expressed by the following modes:
Ixy=(C1,C2,C3,C4,C5,C6) (1)
wherein C1, C2, C3, C4, C5, and C6 may be characterized as follows:
Figure BDA0002045395480000111
thus, any row in the engineering vehicle type, the configuration relation and the rule matrix can be represented as follows:
Figure BDA0002045395480000112
wherein x is a positive integer from 1 to n, and n is a positive integer greater than 1.
FxAnd OxAre all selected from a full configuration feature base library, wherein OxIs the first element in the engineering vehicle type and configuration relationship and rule matrix, OxIn particular to configuration feature correspondenceConfiguration feature code of (1), FxIs used for the reaction of OxAttribution to classify, FxF in (1) denotes a family of configuration features, thus FxSpecifically, the configuration feature family code corresponding to the configuration feature. FxAnd OxIs constant, some of the configuration feature families may include a plurality of configuration features, for example, a skylight "SUN ROOF" of a configuration feature family includes 3 configuration features, and the configuration feature family code is S35, and the configuration feature code under the configuration feature family includes S35S, S35X and S35Y, which respectively represent a skylight with normal skylight, a skylight without skylight, and a skylight with panoramic view, and some of the configuration feature families FxWith only one configuration feature OxThis is not intended to be exemplary.
TxIs used to describe FxComplete vehicle necessity identification, TxThe value of (d) may be only M, which represents a family of configuration features necessary throughout the vehicle, or R, which represents a family of configuration features not necessary throughout the vehicle. MxIs used to describe OxThe method is applicable to engineering basic vehicle types. SxIs used to describe OxAt MxA constraint relational expression of other relevant configuration characteristics in the range of engineering basic vehicle types, which is obtained by logically mixing (A) and (B)&) Logical operation relationships are represented by logical OR (/) and logical NOT (-). A. thexIs used to describe OxApplicable engineering basic vehicle type MxApplicability of (A)xThe values of (A) are only A (optional), R (required), B (reference), A represents the OxAt MxOptionally, R represents the OxAt MxUpper satisfies SxConditions are necessary when FxWhen M, the engineering basic vehicle type MxMust have an O with attribute BxAs a reference configuration, the F is set in a vehicle type configuration condition which is freely customized by a customerxB attribute O when configuration characteristics of A or R are not definedxAnd adding the configuration default of the benchmark configuration into the vehicle model configuration condition freely customized by the customer.
After receiving vehicle type configuration conditions input by a user, the terminal can traverse the engineering vehicle type, the configuration relation and the rule matrix to determine all feature families containing the specified engineering basic vehicle type, and then the terminal divides the configuration feature families into a relevant group and a non-relevant group according to the relevance of the configuration feature families and the vehicle type configuration conditions. For convenience of description, the related group may be referred to as a and the non-related group as B.
S103: and aiming at each configuration feature family in the relevant group and the non-relevant group, adding configuration feature codes matched with the vehicle type configuration conditions in the configuration feature families to a matching set by using a whole vehicle configuration loop iterative algorithm, adding configuration feature codes unmatched with the vehicle type configuration conditions in the configuration feature families to an excluding set, and adding configuration feature codes which cannot be determined whether the configuration feature codes are matched with the vehicle type configuration conditions in the configuration feature families to a set to be confirmed.
The whole vehicle configuration grouping loop iteration algorithm is an algorithm for determining that the configuration features belong to a matching set or an excluding set or a set to be confirmed based on necessity identification of the configuration features in the feature family and information of applicability of the configuration features on applicable engineering vehicle types. It is designed based on the axiom of the fact that "any one functional feature of a car must be composed of optional features plus basic features" and "a family of configuration features is only related to a limited family of other configuration features". The whole vehicle configuration grouping loop iteration algorithm has corresponding processing logic for a relevant group and a non-relevant group. The processing logic for the relevant groups and the non-relevant groups is described in detail below.
For the related group a, it includes the following cases:
1.1 one group of one FxOne row Ox
Since there is only one row OxTherefore, the constraint expression aiming at the engineering vehicle type and configuration relation and the rule matrix I can only execute logic AND operation with the constraint expression, and if the constraint expression is also executed and operated with other configuration characteristics, more than one row of O is neededxBased on this, the availability flag Av is a mandatory choice of R, and the availability flag a indicates that there is a dependency, which is also a mandatory choice. See in particular the following table:
TABLE 1
Figure BDA0002045395480000121
Figure BDA0002045395480000131
Wherein Fc refers to a feature family, Ft refers to a vehicle necessity identification of the feature family, M refers to a necessary configuration feature family on the vehicle, R refers to an unnecessary configuration feature family on the vehicle, Av refers to a configuration feature Ox on an applicable engineering basic vehicle type MxThe applicability of the above is that whether the column is selected or not indicates whether the configuration feature code corresponding to the configuration feature needs to be selected or not, and a complete vehicle configuration combination is generated, wherein Y indicates the configuration feature code O marked as YxAdding to the matching set, N denotes NO, and identifying as Y configuration feature code OxAdding the configuration feature code O to the exclusion set, wherein the absence indicates that the condition does not exist and the configuration feature code O is marked as' uncertain and input required to be matchedxAdding to the set to be confirmed for subsequent confirmation.
1.2 one group of one FxMultiple rows of Ox
In this case, the processing logic can be seen in the following table:
TABLE 2
Figure BDA0002045395480000132
1.3 one group of one FxOne row Ox&A FxOne row Ox
In this case, the processing logic can be seen in the following table:
TABLE 3
Figure BDA0002045395480000133
Figure BDA0002045395480000141
1.4 one group by one FxOne row Ox&A FxMultiple rows of Ox
In this case, the processing logic can be seen in the following table:
TABLE 4
Figure BDA0002045395480000142
Figure BDA0002045395480000151
1.5 one group of one FxMultiple rows of Ox&A FxMultiple rows of Ox
In this case, the processing logic can be seen in the following table:
TABLE 5
Figure BDA0002045395480000152
Figure BDA0002045395480000161
For the non-correlated group B, it includes the following cases:
2.1 one group by one FxOne row Ox
In this case, the processing logic can be seen in the following table:
TABLE 6
Figure BDA0002045395480000162
2.2 one group by one FxMultiple rows of Ox
In this case, the processing logic can be seen in the following table:
TABLE 7
Figure BDA0002045395480000163
2.3A set of multiple FxAnd each FxHaving only one row Ox
In this case, the processing logic can be seen in the following table:
TABLE 8
Figure BDA0002045395480000164
Figure BDA0002045395480000171
2.4 group of multiple FxA certain FxOne row OxAnother set of plural rows Ox
In this case, the processing logic can be seen in the following table:
TABLE 9
Figure BDA0002045395480000172
Figure BDA0002045395480000181
2.5 group of multiple FxAnd each FxMultiple rows of Ox
In this case, the processing logic can be seen in the following table:
watch 10
Figure BDA0002045395480000182
Figure BDA0002045395480000191
The terminal may add the configuration feature codes corresponding to the configuration features of the configuration feature family in the relevant group a and the configuration feature family in the non-relevant group B to the matching set or the excluding set based on the above-mentioned complete vehicle configuration loop iteration algorithm. It is understood that in some cases, it is not possible to determine whether the configuration characteristics match or do not match the vehicle type configuration conditions, and the corresponding configuration characteristic codes can be added to the set to be confirmed for subsequent confirmation in combination with the known information.
S104: and determining whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration conditions or not in a circular traversal mode by combining the engineering vehicle type, the configuration relation and the rule matrix, the matching set, the excluding set and the whole vehicle configuration circular iterative algorithm, and adding the configuration feature codes into the corresponding set until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added into the matching set or the excluding set.
It can be understood that when the configuration feature codes are added to the matching set or the excluding set, some configuration features are not determined to be selected or excluded, the configuration features are added to the set to be confirmed first, along with the updating of the matching set and the excluding set, the terminal may determine whether the configuration features are matched with the vehicle type configuration conditions or not by combining an engineering vehicle type and configuration relationship and rule matrix, the matching set, the excluding set and the whole vehicle configuration cyclic iteration algorithm in a cyclic traversal manner, if the configuration features are determined to be matched, the configuration features are added to the matching set, if the configuration features are not matched, the configuration features are added to the excluding set, if the configuration features are not determined to be matched, the configuration features are added to the matching set or the excluding set continuously in a cyclic traversal manner until the configuration feature codes of each configuration feature family in the related group and the non-related group are added to the matching set or the excluding set, i.e., until the set to be acknowledged is empty.
It should be noted that, for any feature family, if there is a configuration feature code matching the vehicle type configuration condition, it may be written as a first configuration feature code, and the terminal adds the first configuration feature code to the matching set, and simultaneously adds the remaining configuration feature codes in the feature family to which the first configuration feature code belongs to the exclusion set.
S105: and generating a whole vehicle configuration combination matched with the vehicle type configuration conditions according to the configuration feature codes in the matching set.
S106: and displaying the whole vehicle configuration combination.
After the terminal adds all the configuration features in the feature families of the related group and the non-related group to the matching set or the excluding set, because the matching set is the set of the configuration feature codes corresponding to the configuration features matched with the vehicle type configuration conditions, the corresponding configuration features need to be selected, and the excluding set is the set of the configuration feature codes corresponding to the configuration features unmatched with the vehicle type configuration conditions, the corresponding configuration features need to be excluded, so the terminal generates the whole vehicle configuration combination matched with the vehicle type configuration conditions based on the configuration feature codes in the matching set.
The whole vehicle configuration combination is a configuration combination meeting the user requirements, and it should be noted that the whole vehicle configuration combination may be one or multiple. The terminal displays the whole vehicle configuration combination so as to be convenient for a user to view. The whole vehicle configuration management system can also provide a selection control, when the whole vehicle configuration combination comprises a plurality of whole vehicle configuration combinations, the terminal can also respond to selection operation triggered by an external user and send the whole vehicle configuration combination selected by the external user to a downstream Material management system so as to determine a Bill of materials (BOM) corresponding to the whole vehicle configuration combination.
The BOM is composed of a series of part rows containing a material configuration relation constraint formula, the material configuration relation constraint formula is used for constraining the application range of the parts, and the engineering basic vehicle type codes and the configuration characteristic codes used by the material configuration relation constraint formula are from engineering vehicle types, configuration relations and a rule matrix I. The method for managing the full Vehicle configuration provided in this embodiment is used to analyze a configurable BOM of a product of a Vehicle type by using a Vehicle configuration combination Code (VC) corresponding to a Vehicle configuration combination determined by the method for managing the full Vehicle configuration provided in this embodiment, so as to obtain a single Vehicle BOM of a customized Vehicle type, and this step is generally performed in a downstream Enterprise Resource Planning (ERP) System, such as an Enterprise management solution System (SAP).
In practical application, an internal user such as a salesperson selects a group of representative vehicle type configurations at the beginning, and a whole vehicle configuration combination of a batch of engineering basic vehicle types is obtained by the whole vehicle full configuration management method of the embodiment and is used for conventional inventory vehicle type production. Most of the vehicle type configurations customized individually by the customer are modified on the basis of the VC calculated by the vehicle full-configuration management method of the embodiment, so that the delivery time is shortened.
In some cases, an intelligent recommendation strategy can be maintained in the whole vehicle configuration management system, so that the terminal can determine the whole vehicle configuration combination matched with the intelligent recommendation strategy according to the whole vehicle configuration combination and the intelligent recommendation strategy. And then, the terminal displays the whole vehicle configuration combination matched with the intelligent recommendation strategy. The intelligent recommendation strategy comprises any one or more of an inventory priority strategy, a value priority strategy and a traffic time priority strategy, and based on the intelligent recommendation strategy, a corresponding whole vehicle configuration combination can be recommended to an external user so as to achieve the purposes of inventory removal, income increase and the like.
The method for managing the complete configuration of the whole vehicle is realized based on a complete configuration management system, specifically, an external user inputs vehicle type configuration conditions, the complete configuration management system can automatically traverse engineering vehicle types, configuration relations and rule matrixes to obtain configuration feature families containing specified engineering basic vehicle types, the configuration feature families are divided into related groups and non-related groups according to the relevance of the vehicle type configuration conditions, and for each configuration feature family in the related groups and the non-related groups, a complete configuration cyclic iteration algorithm is used for adding configuration feature codes in the configuration feature families to a matching set or removing the configuration feature codes to the matching set according to the matching result of the vehicle type configuration conditions, wherein the configuration feature codes which cannot be directly determined are firstly added to a set to be determined, and then the engineering vehicle types, the configuration relations, the rule matrixes, the matching set, The excluding set and the whole vehicle configuration cycle iterative algorithm add the configuration feature codes in the set to be confirmed to the matching set or the excluding set in a cycle traversal mode until all the configuration feature codes of the configuration feature families in the related group and the non-related group are added to the matching set or the excluding set, and then generate a whole vehicle configuration combination matched with the vehicle type configuration conditions based on the configuration feature codes of the matching set, so that the free customization of the whole vehicle based on the user requirements is realized, the method is not limited to a plurality of configuration combinations provided by the market, and the user experience is improved.
For S102 in the embodiment shown in fig. 1, the embodiment of the present application further provides a specific implementation manner, see fig. 2, which specifically includes the following steps:
s1021: and determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items.
Wherein the designated entry includes n rows, and n is a positive integer.
S1022: and traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup.
In particular, the terminal may be configured to be coupled to O in the following mannerxGrouping to obtain a configuration feature subgroup:
a. line 1, O1, corresponds to the status all contains Feature Code entry group number defined as 1;
b. traversing lines 2-n, if any Feature Code contained in the status appears once in the previous group number entry, the entry group number is the previous group number; if so, clearing and combining all traversed group numbers to become a new group number; if not, a new group number is created.
S1023: and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a feature family subgroup, regarding each feature family subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature family subgroup as a related group, and otherwise, taking the configuration feature family subgroup as a non-related group.
Specifically, the terminal traverses all OxFinding out current OxAll F contained in a groupxIs the same group, up to all OxAnd (5) traversing. F to be groupedxSelected configuration characteristics O in vehicle type configuration conditions freely customized with a customercMatched, O capable of matchingcThe group is the related group; any O in the vehicle type configuration conditions which cannot be freely customized with the customercThe matched groups are uncorrelated groups.
In some possible implementations, the terminal may further receive an internal constraint condition input by an internal user through an internal management interface of the full vehicle configuration management system, and thus, when a configuration feature code in the configuration feature family matching the vehicle type configuration condition is added to a matching set by using a full vehicle configuration loop iteration algorithm and a configuration feature code in the configuration feature family not matching the vehicle type configuration condition is added to an exclusion set, the terminal adds a configuration feature code in the configuration feature family matching the vehicle type configuration condition and the internal constraint condition to a matching set and adds a configuration feature code in the configuration feature family not matching the vehicle type configuration condition and/or not matching the internal constraint condition to an exclusion set by using a full vehicle configuration loop iteration algorithm, and when determining whether the configuration characteristics in the set to be confirmed are matched with the vehicle type configuration conditions or not in a circular traversal mode, determining whether the configuration characteristics are matched with the vehicle type configuration conditions and the internal constraint conditions or not in the circular traversal mode.
Based on the above specific implementation manners of the complete vehicle configuration management method provided by the embodiment of the present application, the embodiment of the present application further provides a corresponding complete vehicle configuration management system, and then, the complete vehicle configuration management system provided by the embodiment of the present application is introduced from the perspective of functional modularization.
Referring to the schematic structural diagram of the entire vehicle configuration management system shown in fig. 3, an entire configuration feature base, an engineering vehicle type and configuration relationship, a rule matrix, and an entire vehicle configuration loop iteration algorithm are maintained in the entire vehicle configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the whole vehicle full configuration management system comprises:
the receiving module 310 is configured to receive vehicle type configuration conditions input by an external user through a finished vehicle customization interface of the finished vehicle full-configuration management system, where the vehicle type configuration conditions include a specified engineering basic vehicle type and a selected configuration feature code;
the grouping module 320 is used for traversing all configuration feature families containing the specified engineering basic vehicle types in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the relevance of the configuration feature families and the vehicle type configuration conditions;
a screening module 330, configured to, for each configuration feature family in the relevant group and the non-relevant group, add, by using the whole vehicle configuration loop iteration algorithm, a configuration feature code in the configuration feature family that matches the vehicle type configuration condition to a matching set, add, in the configuration feature family, a configuration feature code that does not match the vehicle type configuration condition to an exclusion set, and add, in the configuration feature family, a configuration feature code that cannot determine whether the configuration feature family matches the vehicle type configuration condition to a set to be confirmed;
the screening module 330 is further configured to determine whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration condition in a circular traversal manner by combining the engineering vehicle type, the configuration relationship and the rule matrix, the matching set, the excluding set and the vehicle configuration circular iteration algorithm, and add the configuration feature codes to the corresponding set until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added to the matching set or the excluding set;
the generating module 340 is configured to generate a vehicle configuration combination matched with the vehicle type configuration condition according to the configuration feature codes in the matching set;
and a display module 350, configured to display the entire vehicle configuration combination.
Optionally, the grouping module 320 is specifically configured to:
determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items, wherein the specified items comprise n rows, and n is a positive integer;
traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup;
and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a configuration feature subgroup, regarding each configuration feature subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature subgroup as a related group, and otherwise, taking the configuration feature subgroup as a non-related group.
Optionally, the screening module 330 is specifically configured to:
adding a first configuration feature code to a matching set, and adding the rest configuration feature codes in a configuration feature family to which the first configuration feature code belongs to an exclusion set;
wherein the first configuration feature code is a configuration feature code that matches the vehicle type configuration condition.
Optionally, the receiving module 310 is further configured to:
receiving an internal constraint condition input by an internal user through an internal management interface of the whole vehicle full configuration management system;
the screening module is specifically configured to, when adding the configuration feature codes in the configuration feature family that match the vehicle type configuration condition to a matching set and adding the configuration feature codes in the feature family that do not match the vehicle type configuration condition to an exclusion set by using the vehicle configuration loop iteration algorithm:
adding configuration feature codes matched with the vehicle type configuration conditions and the internal constraint conditions in the feature family to a matching set and adding configuration feature codes which are not matched with the vehicle type configuration conditions and not matched with the internal constraint conditions in the feature family to an excluding set by using a whole vehicle configuration grouping loop iterative algorithm;
when determining whether the vehicle type configuration condition is matched with the screening module in a circular traversal mode, the screening module is specifically configured to:
and determining whether the vehicle type configuration conditions are matched with the internal constraint conditions or not in a circulating traversal mode.
Optionally, the entire vehicle configuration management system further maintains an intelligent recommendation policy:
the device further comprises:
the determining module is used for determining a finished automobile configuration combination matched with the intelligent recommendation strategy according to the finished automobile configuration combination and the intelligent recommendation strategy;
the display module 350 is specifically configured to:
and displaying the vehicle configuration combination matched with the intelligent recommendation strategy.
Optionally, the intelligent recommendation policy includes any one or more of an inventory priority policy, a value priority policy, and a traffic time priority policy.
Optionally, when the vehicle configuration combination includes multiple vehicle configuration combinations;
the device further comprises:
and the sending module is used for responding to the selection operation triggered by the external user and sending the whole vehicle configuration combination selected by the external user to a downstream material management system so as to determine a material list corresponding to the whole vehicle configuration combination.
From the above, the embodiment of the present application provides a complete vehicle configuration management system, which receives vehicle type configuration conditions input by an external user, automatically traverses engineering vehicle types, configuration relations and rule matrices, acquires configuration feature families including designated engineering basic vehicle types, divides the configuration feature families into related groups and non-related groups according to the correlation with the vehicle type configuration conditions, and for each configuration feature family in the related groups and the non-related groups, adds configuration feature codes therein to a matching set or an excluding set according to the matching result with the vehicle type configuration conditions by using a complete vehicle configuration cycle iteration algorithm, wherein configuration feature codes which cannot be directly determined are first added to a set to be confirmed, and then the matching set, the excluding set and the complete vehicle configuration cycle iteration algorithm are combined with the engineering vehicle types, the configuration relations and the rule matrices, the configuration feature codes in the set to be confirmed are added to the matching set or the excluding set in a circulating traversal mode until all the configuration feature codes of the configuration feature families in the related group and the non-related group are added to the matching set or the excluding set, and then a whole vehicle configuration combination matched with the vehicle type configuration conditions is generated based on the configuration feature codes of the matching set, so that the free customization of the whole vehicle based on the user requirements is realized, the vehicle configuration combination is not limited to a plurality of configuration combinations provided by the market, and the user experience is improved.
The whole vehicle full configuration management system can be deployed at a terminal and also can be deployed at a server, and the server and a client on the terminal interactively realize the whole vehicle full configuration management method of the embodiment of the application. For ease of understanding, the hardware architecture of the entire vehicle full configuration management system is described next from the perspective of the server and the client interaction on the terminal.
Referring to the hardware architecture diagram of the entire vehicle total configuration management system shown in fig. 4, in the application scenario, an internal user inputs internal constraint conditions through an internal user client 1-n, an external user inputs vehicle type configuration conditions through an external user client 1-n, and a server is configured with the entire vehicle total configuration management system, which interacts with the internal user client and the external user client through an input/output interface table. The server can interact with a plurality of internal user clients simultaneously, and can also interact with a plurality of external user clients simultaneously.
An internal user such as a manager can lead all configuration characteristics into a full configuration characteristic base library, namely a database 1, lead the engineering vehicle type and configuration relation, namely a rule matrix, into a database 2, and configure an algorithm module, wherein a complete vehicle configuration loop iteration algorithm is stored in the algorithm module, so that the initialization of a complete vehicle full configuration management system is realized.
Then, the whole vehicle full configuration management system of the server receives vehicle type configuration conditions input by an external user through an external user client, wherein the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and selected configuration characteristics, then, after the whole vehicle full configuration management system groups configuration characteristic families containing the appointed basic vehicle type according to the correlation with the vehicle type configuration conditions, an algorithm module is called for a relevant group and a non-relevant group, a whole vehicle configuration circulation iterative algorithm is executed, the configuration characteristics are added to a matching set or an exclusion set, then, a whole vehicle configuration combination is generated and stored in a marketable complete vehicle type database, namely a database 3, and then, the whole vehicle configuration combination is returned to the external user client through an input and output interface table so that the external user can check the vehicle type configuration conditions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A full-vehicle full-configuration management method is characterized by being applied to a full-vehicle full-configuration management system, wherein a full-configuration characteristic base, an engineering vehicle type and configuration relation, a rule matrix and a full-vehicle configuration circulating iterative algorithm are maintained in the full-vehicle full-configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the method comprises the following steps: receiving vehicle type configuration conditions input by an external user through a finished vehicle customization interface of the finished vehicle full-configuration management system, wherein the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and a selected configuration characteristic code;
traversing all configuration feature families containing the specified engineering basic vehicle types in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the relevance of the configuration feature families and the vehicle type configuration conditions;
for each configuration feature family in the relevant group and the non-relevant group, adding configuration feature codes matched with the vehicle type configuration condition in the configuration feature family to a matching set by using the whole vehicle configuration loop iteration algorithm, adding configuration feature codes unmatched with the vehicle type configuration condition in the feature family to an exclusion set, and adding configuration feature codes which cannot be determined to be matched with the vehicle type configuration condition in the configuration feature family to a set to be confirmed; determining whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration conditions or not in a circular traversal mode by combining the engineering vehicle type, the configuration relation and the rule matrix, the matching set, the excluding set and the whole vehicle configuration circular iterative algorithm, and adding the configuration feature codes into the corresponding sets until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added into the matching set or the excluding set;
generating a whole vehicle configuration combination matched with the vehicle type configuration condition according to the configuration feature codes in the matching set;
and displaying the whole vehicle configuration combination.
2. The method of claim 1, wherein traversing all configuration feature families including a specific engineering base vehicle type in the engineering vehicle type and configuration relationship and rule matrix, and classifying the configuration feature families into relevant groups and non-relevant groups according to the relevance to the vehicle type configuration conditions comprises:
determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items, wherein the specified items comprise n rows, and n is a positive integer;
traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup;
and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a configuration feature subgroup, regarding each configuration feature subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature subgroup as a related group, and otherwise, taking the configuration feature subgroup as a non-related group.
3. The method of claim 1, wherein the adding configuration feature codes in the configuration feature family that match the vehicle type configuration condition to a matching set and adding configuration feature codes in the configuration feature family that do not match the vehicle type configuration condition to an exclusion set using a full vehicle configuration grouping loop iteration algorithm comprises:
adding a first configuration feature code to a matching set, and adding the rest configuration feature codes in a configuration feature family to which the first configuration feature code belongs to an exclusion set;
wherein the first configuration feature code is a configuration feature code that matches the vehicle type configuration condition.
4. A method according to any one of claims 1 to 3, characterized in that the method further comprises:
receiving an internal constraint condition input by an internal user through an internal management interface of the whole vehicle full configuration management system;
adding configuration feature codes matched with the vehicle type configuration conditions in the configuration feature family to a matching set by using the whole vehicle configuration loop iterative algorithm, and adding configuration feature codes unmatched with the vehicle type configuration conditions in the feature family to an excluding set, wherein the steps of:
adding configuration feature codes matched with the vehicle type configuration conditions and the internal constraint conditions in the feature family to a matching set and adding configuration feature codes which are not matched with the vehicle type configuration conditions and not matched with the internal constraint conditions in the feature family to an excluding set by using a whole vehicle configuration grouping loop iterative algorithm;
the determining whether the vehicle model configuration condition is matched or not in a circulating traversal mode comprises the following steps:
and determining whether the vehicle type configuration conditions are matched with the internal constraint conditions or not in a circulating traversal mode.
5. The method according to any one of claims 1 to 3, wherein the complete vehicle configuration management system further maintains an intelligent recommendation strategy:
the method further comprises the following steps:
determining a finished automobile configuration combination matched with the intelligent recommendation strategy according to the finished automobile configuration combination and the intelligent recommendation strategy;
the displaying the finished vehicle configuration combination comprises:
and displaying the vehicle configuration combination matched with the intelligent recommendation strategy.
6. The method of claim 5, wherein the intelligent recommendation policy comprises any one or more of an inventory prioritization policy, a value prioritization policy, and a traffic time prioritization policy.
7. The method of any one of claims 1 to 3, wherein when the vehicle configuration set includes a plurality of vehicle configuration sets;
the method further comprises the following steps:
and responding to a selection operation triggered by an external user, and sending the whole vehicle configuration combination selected by the external user to a downstream material management system so as to determine a material list corresponding to the whole vehicle configuration combination.
8. A complete vehicle complete configuration management system is characterized in that a complete configuration characteristic base library, an engineering vehicle type and configuration relation, a rule matrix and a complete vehicle configuration cycle iterative algorithm are maintained in the complete vehicle complete configuration management system;
the full configuration feature base is used for describing configuration features of all products, and all configuration features of any product have corresponding configuration feature family codes and configuration feature codes in the full configuration feature base;
the engineering vehicle type, configuration relation and rule matrix are used for describing an engineering basic vehicle type, configuration characteristics and constraint relations among different configuration characteristics, and the engineering vehicle type, configuration relation and rule matrix comprise configuration characteristics, a configuration characteristic family category, an engineering basic vehicle type, a vehicle type configuration relation constraint formula and a configuration characteristic applicability identifier;
the whole vehicle configuration cycle iteration algorithm is used for carrying out logic operation and cycle iteration on the engineering vehicle type, the configuration relation and the rule matrix by utilizing the fact axiom that the functional characteristics of any vehicle are bound to be composed of optional configuration characteristics and basic configuration characteristics and that one configuration characteristic family is only related to other limited configuration characteristic families, and finally determining all configuration characteristic codes matched with vehicle type configuration conditions input by an external user;
the whole vehicle full configuration management system comprises:
the system comprises a receiving module, a display module and a display module, wherein the receiving module is used for receiving vehicle type configuration conditions input by an external user through a vehicle customization interface of the vehicle full-configuration management system, and the vehicle type configuration conditions comprise an appointed engineering basic vehicle type and a selected configuration characteristic code;
the grouping module is used for traversing all configuration feature families containing the specified engineering basic vehicle types in the engineering vehicle type and configuration relation and the rule matrix, and dividing the configuration feature families into a relevant group and a non-relevant group according to the correlation with the vehicle type configuration conditions;
a screening module, configured to, for each configuration feature family in the relevant group and the non-relevant group, add, by using the whole-vehicle configuration loop iteration algorithm, a configuration feature code in the configuration feature family that matches the vehicle type configuration condition to a matching set, add, in the configuration feature family, a configuration feature code that does not match the vehicle type configuration condition to an exclusion set, and add, in the configuration feature family, a configuration feature code that cannot determine whether the configuration feature code matches the vehicle type configuration condition to a set to be confirmed; the screening module is further configured to determine whether the configuration feature codes in the set to be confirmed are matched with the vehicle type configuration conditions in a circular traversal manner by combining the engineering vehicle type, the configuration relationship and the rule matrix, the matching set, the excluding set and the whole vehicle configuration circular iteration algorithm, and add the configuration feature codes to the corresponding set until the configuration feature codes of each configuration feature family in the relevant group and the non-relevant group are added to the matching set or the excluding set;
the generating module is used for generating a whole vehicle configuration combination matched with the vehicle type configuration condition according to the configuration feature codes in the matching set;
and the display module is used for displaying the whole vehicle configuration combination.
9. The system of claim 8, wherein the grouping module is specifically configured to:
determining all items containing the specified engineering basic vehicle type from the engineering vehicle type, the configuration relation and the rule matrix as specified items, wherein the specified items comprise n rows, and n is a positive integer;
traversing the specified entries line by line, and grouping the configuration features in the specified entries based on the occurrence frequency relation of the configuration feature codes in the constraint relational expression in the specified entries to form a configuration feature subgroup;
and regarding each configuration feature subgroup, taking all configuration feature families corresponding to the configuration feature subgroup as a configuration feature subgroup, regarding each configuration feature subgroup, if any configuration feature is matched with the selected configuration feature code in the vehicle type configuration condition, taking the configuration feature subgroup as a related group, and otherwise, taking the configuration feature subgroup as a non-related group.
10. The system of claim 8, wherein the screening module is specifically configured to:
adding a first configuration feature code to a matching set, and adding the rest configuration feature codes in a configuration feature family to which the first configuration feature code belongs to an exclusion set;
wherein the first configuration feature code is a configuration feature code that matches the vehicle type configuration condition.
CN201910355851.0A 2019-04-29 2019-04-29 Whole vehicle full configuration management method and system Active CN111950072B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910355851.0A CN111950072B (en) 2019-04-29 2019-04-29 Whole vehicle full configuration management method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910355851.0A CN111950072B (en) 2019-04-29 2019-04-29 Whole vehicle full configuration management method and system

Publications (2)

Publication Number Publication Date
CN111950072A true CN111950072A (en) 2020-11-17
CN111950072B CN111950072B (en) 2024-01-16

Family

ID=73335433

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910355851.0A Active CN111950072B (en) 2019-04-29 2019-04-29 Whole vehicle full configuration management method and system

Country Status (1)

Country Link
CN (1) CN111950072B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113706074A (en) * 2021-08-06 2021-11-26 岚图汽车科技有限公司 Super BOM resolving method, device and equipment and readable storage medium
WO2023240867A1 (en) * 2022-06-17 2023-12-21 一汽奔腾轿车有限公司 Automatic matching method and system for vehicle material numbers and vehicle model announcement numbers

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020161563A1 (en) * 2001-03-13 2002-10-31 Naji Elabiad System and method for performing vehicle interior configuration design
CN101246509A (en) * 2008-02-28 2008-08-20 上海交通大学 Entire car personalized configuration system based on case illation technology
US20110276439A1 (en) * 2002-10-08 2011-11-10 Ragusa Jeffrey W Configuration Representation and Modeling Using Configuration Spaces
CN102279944A (en) * 2010-06-11 2011-12-14 上海汽车集团股份有限公司 Interactive checking and approving system for integrity of configurable bill of material (BOM)
CN103560958A (en) * 2013-10-18 2014-02-05 华为技术有限公司 Method and device for rule matching of data packets
US20140067615A1 (en) * 2012-09-04 2014-03-06 Autotrader.Com, Inc. Systems and Methods for Facilitating the Purchase of One or More Vehicles
CN106020856A (en) * 2015-03-30 2016-10-12 福特全球技术公司 Methods and systems for configuration of a vehicle feature
CN106408137A (en) * 2016-11-09 2017-02-15 上海汽车集团股份有限公司 Electric appliance wire harness configuration method of series of models
CN107122485A (en) * 2017-05-09 2017-09-01 北京精真估信息技术有限公司 A kind of model data splits matching process and equipment
CN107253447A (en) * 2017-06-06 2017-10-17 上海康丘乐电子电器科技有限公司 A kind of electric automobile whole integrated management and control system and electric automobile
CN108090073A (en) * 2016-11-22 2018-05-29 上海汽车集团股份有限公司 A kind of conversion method and device of configurable bill of materials

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020161563A1 (en) * 2001-03-13 2002-10-31 Naji Elabiad System and method for performing vehicle interior configuration design
US20110276439A1 (en) * 2002-10-08 2011-11-10 Ragusa Jeffrey W Configuration Representation and Modeling Using Configuration Spaces
CN101246509A (en) * 2008-02-28 2008-08-20 上海交通大学 Entire car personalized configuration system based on case illation technology
CN102279944A (en) * 2010-06-11 2011-12-14 上海汽车集团股份有限公司 Interactive checking and approving system for integrity of configurable bill of material (BOM)
US20140067615A1 (en) * 2012-09-04 2014-03-06 Autotrader.Com, Inc. Systems and Methods for Facilitating the Purchase of One or More Vehicles
CN103560958A (en) * 2013-10-18 2014-02-05 华为技术有限公司 Method and device for rule matching of data packets
CN106020856A (en) * 2015-03-30 2016-10-12 福特全球技术公司 Methods and systems for configuration of a vehicle feature
CN106408137A (en) * 2016-11-09 2017-02-15 上海汽车集团股份有限公司 Electric appliance wire harness configuration method of series of models
CN108090073A (en) * 2016-11-22 2018-05-29 上海汽车集团股份有限公司 A kind of conversion method and device of configurable bill of materials
CN107122485A (en) * 2017-05-09 2017-09-01 北京精真估信息技术有限公司 A kind of model data splits matching process and equipment
CN107253447A (en) * 2017-06-06 2017-10-17 上海康丘乐电子电器科技有限公司 A kind of electric automobile whole integrated management and control system and electric automobile

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
徐举宏等: "自由选配下整车可配置物料清单完整性交互检查方法", 《计算机应用》, vol. 38, no. 1, pages 155 - 157 *
郑建菲: "汽车大规模个性化定制的智能制造新模式研究", 《中国集体经济》, vol. 2018, no. 16, pages 152 - 153 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113706074A (en) * 2021-08-06 2021-11-26 岚图汽车科技有限公司 Super BOM resolving method, device and equipment and readable storage medium
CN113706074B (en) * 2021-08-06 2024-03-05 岚图汽车科技有限公司 Super BOM (binary object model) resolving method, device, equipment and readable storage medium
WO2023240867A1 (en) * 2022-06-17 2023-12-21 一汽奔腾轿车有限公司 Automatic matching method and system for vehicle material numbers and vehicle model announcement numbers

Also Published As

Publication number Publication date
CN111950072B (en) 2024-01-16

Similar Documents

Publication Publication Date Title
US20220083543A1 (en) Dynamic Dashboard with Guided Discovery
US7523483B2 (en) Determining a policy parameter for an entity of a supply chain
EP3037991A1 (en) Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures
US20090228830A1 (en) System and Method for Data Analysis and Presentation
US8296655B2 (en) Context sensitive information management system and method
Oukil et al. Ranking dispatching rules in multi-objective dynamic flow shop scheduling: a multi-faceted perspective
US9135314B2 (en) System and method for improved consumption models for summary analytics
US20050197971A1 (en) Method and system for classifying retail products and services using price band categories
US7698312B2 (en) Performing recursive database operations
CN111950072B (en) Whole vehicle full configuration management method and system
US8484135B2 (en) Method of and system for assignment of price groups
CN109409848A (en) Node intelligent recommended method, terminal device and the storage medium of open process
CN104182226B (en) A kind of General Mobile information system adaptation method and device
US8464156B2 (en) Interactive product configurator with default decisions
CN108304591A (en) A kind of method for customizing of label, system and terminal device
CN104951477A (en) Method and device for filtering data
CN110532266A (en) A kind of method and apparatus of data processing
US8335987B2 (en) Interactive product configurator
Levin Towards bin packing (preliminary problem survey, models with multiset estimates)
Schulte et al. Speed and quality of collective decision making: Imperfect information processing
US11966868B2 (en) Rapid sorting-based supply assignment tool for order fulfillment with short supply
Detti et al. Minimizing and balancing setups in a serial production system
US20020169646A1 (en) Planning and administrating a manufacturing plant
US8520242B2 (en) Management system of technical literature data and method thereof
JPH0934938A (en) Cost setting method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant