CN110910212B - Cross-information system order configuration logic conversion method and system - Google Patents
Cross-information system order configuration logic conversion method and system Download PDFInfo
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Abstract
The utility model discloses a cross-information system order configuration logic conversion method and system, which comprises receiving order establishment request, generating configuration order, initializing configuration feature group, and initializing feature attribute value of each feature in the configuration feature group; mapping the characteristics and the characteristic attribute values into characteristic sentences recognized by a computer, and combining the logical relations among the characteristic sentences into a correlation relational expression through operators; and according to the correlation relational expression, selecting the assembly characteristics meeting the requirements of the configuration order from the full configuration characteristic base to obtain an assembly list. Converting the expressions of the existing constraint logic, program logic and price variation logic into algorithms supported by the system, and realizing the matching function under different systems, different system languages and different architectures; and three correlation relational expressions of a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price variable algorithm are adopted to realize the matching real-time quotation.
Description
Technical Field
The disclosure relates to the field of product data management, in particular to a cross-information system order configuration logic conversion method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
An order configurator is a system that interacts with a user and assists or supports the user in determining product configuration information, and as the customer's individualized requirements for product configuration increase, the configuration items of the product are increasing to meet the customer's requirements. The existing configurator exists in a single system and cannot meet the increasing diversified demands of customers; meanwhile, the constraint relation contained in the product configuration does not allow other systems to be directly used, the problem of incompatibility among the systems exists, and the conventional order configurator cannot realize conversion of a configuration logic method among the systems.
Disclosure of Invention
In order to solve the problems, the present disclosure provides a method and a system for converting order configuration logic of a cross-information system, which convert the expressions of the existing constraint logic, program logic and price variation logic into algorithms supported by the system, and realize the matching functions under different systems, different system languages and different architectures; and three correlation relational expressions, namely a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price variable algorithm, are used for realizing the selective real-time quotation.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
in a first aspect, the present disclosure provides a method for order configuration logic conversion across information systems, comprising,
receiving an order creating request, generating a configuration order, initializing a configuration feature group, and initializing a feature attribute value of each feature in the configuration feature group;
mapping the characteristics and the characteristic attribute values into characteristic sentences recognized by a computer, and combining the logical relations among the characteristic sentences into a correlation relational expression through operators;
and according to the correlation relational expression, selecting the assembly characteristics meeting the requirements of the configuration order from the full configuration characteristic base to obtain an assembly list.
As some possible implementation manners, the correlation relational expression comprises a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price change algorithm.
As some possible implementations, the method of obtaining an assembly manifest includes,
defining a configuration relation constraint formula by adopting a correlation constraint logic algorithm, taking a characteristic attribute value corresponding to the nth characteristic in a configuration characteristic group as an initial parameter, and screening loadable characteristic attribute values meeting the configuration relation constraint formula in a full configuration characteristic base; n is an integer of 1 or more;
classifying the obtained loadable feature attribute values of the nth feature according to feature types to obtain a configuration feature list table;
defining the price corresponding to any loadable characteristic attribute value of the ith characteristic in the configuration characteristic list table as a standard price and defining the prices of other loadable characteristic attribute values as the standard price plus a difference price by adopting a correlation price variation algorithm to obtain a price table of the loadable characteristic attribute values corresponding to all the configuration characteristics in the configuration characteristic list table; i is an integer of 1 or more;
and obtaining an assembly list of the configuration order according to the obtained configuration feature list table and various features in the price table, the corresponding loadable feature attribute values and the price.
As some possible implementation manners, the method further comprises changing and matching the characteristics to be changed according to the correlation relational expression to obtain the attribute value and the matching differential price of the matching characteristics.
As some possible implementations, the method for performing change matching on the feature to be changed includes,
acquiring a feature to be changed, initializing a feature attribute value of the feature to be changed, and defining the feature attribute value as a first attribute value;
a correlation program logic algorithm is adopted, change constraint conditions are defined according to change requirements, characteristic attribute values meeting the change constraint conditions are screened from a fully-configured characteristic base library and defined as second attribute values;
storing all second attribute values meeting the change constraint condition as a change characteristic attribute value set;
taking the mth second attribute value, substituting the mth second attribute value into a configuration relation constraint formula, judging whether the condition is met, if so, storing the mth second attribute value into a selection feature library, and if not, discarding the mth second attribute value; m is an integer of 1 or more;
defining the price of any second attribute value in the matching feature library as a standard price, and obtaining a matching differential price according to the difference between the basic price and the standard price of other second attribute values;
and (4) taking the feature attribute values in the matching feature library and the corresponding matching difference as the matching result of the features to be changed to finish the matching.
In a second aspect, the present disclosure provides an order configuration logic conversion system across information systems, comprising:
the order initialization module is configured to receive an order creation request, generate a configuration order, initialize a configuration feature group, and initialize a feature attribute value of each feature in the configuration feature group;
the logic conversion module is configured to map the features and the feature attribute values into feature sentences recognized by a computer and combine logic relations among the feature sentences into a correlation relational expression through operators;
and the order assembly module is configured to select assembly characteristics meeting the requirements of the configuration orders from the full configuration characteristic base library according to the correlation relational expression to obtain an assembly list.
In a third aspect, the present disclosure also provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method of the first aspect.
In a fourth aspect, the present disclosure also provides a computer-readable storage medium for storing computer instructions which, when executed by a processor, perform the steps of the method of the first aspect.
Compared with the prior art, the beneficial effect of this disclosure is:
converting the expressions of the existing constraint logic, program logic and price variation logic into algorithms supported by the system, and realizing the matching function under different systems, different system languages and different architectures;
based on the method disclosed by the invention, different systems can realize the matching function;
and three correlation relational expressions of a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price variable algorithm are adopted to realize the matching real-time quotation.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a schematic flow chart illustrating conversion of metadata into dependency relational expressions according to the present disclosure;
FIG. 2 is a schematic flow chart of an assembly list of the present disclosure;
FIG. 3 is a schematic flow chart of the present disclosure for performing matching and calculating spread.
The specific implementation mode is as follows:
the present disclosure is further illustrated by the following examples in conjunction with the accompanying drawings.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example 1
As shown in fig. 1, the present disclosure provides a method for converting order configuration logic across information systems, comprising the following steps:
(1) receiving an order creating request, generating a configuration order, initializing a configuration feature group, and initializing a feature attribute value of each feature in the configuration feature group;
(2) mapping the characteristics and the characteristic attribute values into characteristic sentences recognized by a computer, and combining the logical relations among the characteristic sentences into a correlation relational expression through operators;
(3) and according to the correlation relational expression, selecting the assembly characteristics meeting the requirements of the configuration orders from the full configuration characteristic base library to obtain an assembly list.
And carrying out change matching on the characteristics to be changed according to the correlation relational expression to obtain a matching characteristic attribute value and a matching difference.
The correlation relational expression comprises a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price change algorithm;
receiving an order creating request, generating a configuration order, initializing a configuration feature group, and initializing a feature attribute value of each feature in the configuration feature group;
taking a vehicle order configurator as an example, generating a configuration order according to the requirements of a customer, storing configuration characteristics of all products, such as assembly parts of an engine, wheels, a seat and the like, in a full configuration characteristic base library, wherein each characteristic corresponds to a plurality of characteristic attribute values, for example, the engine can have a plurality of models due to different power sources, working modes, fuel modes and the like, and each model has a corresponding price; after the configuration order is generated, a set of initial feature values, and corresponding feature attribute values, are first selected.
As shown in fig. 2, the assembly process of the product is as follows:
(1) defining a configuration relation constraint formula by adopting a correlation constraint logic algorithm, taking a characteristic attribute value corresponding to the nth characteristic in a configuration characteristic group as an initial parameter, and screening loadable characteristic attribute values meeting the configuration relation constraint formula in a full configuration characteristic base; n is an integer of 1 or more;
the configuration relation constraint expression is used for defining a defined relation between characteristic values, for example, a certain correlation exists between an engine and a gearbox, if a certain type of engine is not suitable for being matched with a certain type of gearbox, the engine can be filtered through the configuration relation constraint expression, and the configuration constraint relation is used for representing the correlation relation between the characteristic values.
(2) Classifying the obtained loadable feature attribute values of the nth feature according to feature types to obtain a configuration feature list table;
for example, if the engine is associated with a transmission, a crankshaft, a driving wheel, etc., and the transmission has multiple models, i.e., multiple attribute values, and the crankshaft also has multiple attribute values, the attribute values are sorted and stored in the configured feature list table according to the feature types of the transmission, the crankshaft, the driving wheel, etc.
(3) Defining the price corresponding to any loadable characteristic attribute value of the ith characteristic in the configuration characteristic list table as a standard price and defining the prices of other loadable characteristic attribute values as the standard price plus a difference price by adopting a correlation price variation algorithm to obtain a price table of the loadable characteristic attribute values corresponding to all the configuration characteristics in the configuration characteristic list table; i is an integer of 1 or more;
each characteristic attribute value has a basic price, which is a price defined by the product, the basic price of any characteristic attribute value is taken as a standard price, the difference between the price of other characteristic attribute values and the standard price is a difference, the prices of other characteristic attribute values can be redefined as the standard price plus the difference, the traditional data is converted into algorithm sentences which can be identified by a computer, the algorithm sentences are translated into sentences of the current language environment under the operating environments of different systems, the algorithm which can be identified by the system is combined, and the incompatible barriers between the systems are broken.
The base price can be extracted from a predefined configuration price table;
(4) and obtaining an assembly list of the configuration order according to the obtained configuration feature list table and various features in the price table, the corresponding loadable feature attribute values and the price.
The assembly list stores all the mechanical components for assembling the vehicle and the models and relative prices of various mechanical components which meet the requirements of the configuration order.
As shown in fig. 3, after obtaining the assembly list of the configuration order, the process of matching follows, and the method for changing a certain feature is as follows:
(1) acquiring a feature to be changed, initializing a feature attribute value of the feature to be changed, and defining the feature attribute value as a first attribute value;
(2) a correlation program logic algorithm is adopted, change constraint conditions are defined according to change requirements, characteristic attribute values meeting the change constraint conditions are screened from a full configuration characteristic base library and are defined as second attribute values;
and obtaining the characteristics to be changed, such as an engine to be selected, and screening the engine characteristic attribute values meeting the change constraint conditions in a full configuration characteristic base according to the selection requirements, such as the number of the cylinders to be started, the arrangement form requirements of the cylinders and the like.
(3) Storing all second attribute values meeting the change constraint condition as a change characteristic attribute value set;
(4) taking the mth second attribute value, substituting the mth second attribute value into a configuration relation constraint formula, judging whether the condition is met, if so, storing the mth second attribute value into a selection feature library, and if not, discarding the mth second attribute value; m is an integer of 1 or more;
in order to solve the problem that the engine selected alone can satisfy the change condition but is not necessarily suitable for working with a transmission or the like on the vehicle, the correlation constraint logic algorithm is adopted again to filter the characteristic attribute value which does not satisfy the condition.
(5) Defining the price of any second attribute value in the matching feature library as a standard price, and obtaining a matching differential price according to the difference between the basic price and the standard price of other second attribute values;
(6) and (4) taking the feature attribute values in the matching feature library and the corresponding matching difference as the matching result of the features to be changed to finish the matching.
Embodiment 2, an order configuration logic conversion system across information systems, comprising:
the order initialization module is configured to receive an order creation request, generate a configuration order, initialize a configuration feature group, and initialize a feature attribute value of each feature in the configuration feature group;
the logic conversion module is configured to map the features and the feature attribute values into feature sentences recognized by a computer and combine logic relations among the feature sentences into a correlation relational expression through operators;
and the order assembling module is configured to select assembling characteristics meeting the requirements of the configuration orders from the full configuration characteristic base according to the correlation relational expression to obtain an assembling list.
The order assembling module also comprises a step of carrying out change matching on the characteristics to be changed according to the correlation relational expression to obtain a matching characteristic attribute value and a matching price difference.
The correlation relational expression comprises a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price change algorithm.
Example 3
The present disclosure provides an electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions, when executed by the processor, performing the steps of the method for logic transformation of order configuration across information systems.
Example 4
In a fourth aspect, the present disclosure further provides a computer readable storage medium for storing computer instructions, which when executed by a processor, perform the steps of the method for logic conversion of order configuration across information systems.
The above is merely a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, which may be variously modified and varied by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (8)
1. A method for converting order configuration logic of cross information system is characterized by comprising,
receiving an order creating request, generating a configuration order, initializing a configuration feature group, and initializing a feature attribute value of each feature in the configuration feature group;
mapping the characteristics and the characteristic attribute values into characteristic sentences recognized by a computer, and combining the logical relations among the characteristic sentences into a correlation relational expression through operators;
according to the correlation relational expression, selecting assembly characteristics meeting the requirements of the configuration orders from a full configuration characteristic base to obtain an assembly list;
the method for obtaining the assembly list comprises the following steps,
defining a configuration relation constraint formula by adopting a correlation constraint logic algorithm, taking a characteristic attribute value corresponding to the nth characteristic in a configuration characteristic group as an initial parameter, and screening loadable characteristic attribute values meeting the configuration relation constraint formula in a full configuration characteristic base; n is an integer of 1 or more;
classifying the obtained loadable feature attribute values of the nth feature according to feature types to obtain a configuration feature list table;
defining the price corresponding to any loadable characteristic attribute value of the ith characteristic in the configuration characteristic list table as a standard price and defining the prices of other loadable characteristic attribute values as the standard price plus a difference price by adopting a correlation price variation algorithm to obtain a price table of the loadable characteristic attribute values corresponding to all the configuration characteristics in the configuration characteristic list table; i is an integer of 1 or more;
obtaining an assembly list of the configuration order according to the obtained configuration feature list table and various features in the price table, the corresponding loadable feature attribute values and the price;
the method for carrying out change matching on the characteristics to be changed comprises the following steps,
acquiring a feature to be changed, initializing a feature attribute value of the feature to be changed, and defining the feature attribute value as a first attribute value;
a correlation program logic algorithm is adopted, change constraint conditions are defined according to change requirements, characteristic attribute values meeting the change constraint conditions are screened from a fully-configured characteristic base library and defined as second attribute values;
storing all second attribute values meeting the change constraint condition as a change characteristic attribute value set;
taking the mth second attribute value, substituting the mth second attribute value into a configuration relation constraint formula, judging whether the condition is met, if so, storing the mth second attribute value into a selection feature library, and if not, discarding the mth second attribute value; m is an integer of 1 or more;
defining the price of any second attribute value in the matching feature library as a standard price, and obtaining a matching differential price according to the difference between the basic price and the standard price of other second attribute values;
and (4) taking the characteristic attribute values in the matching characteristic library and the corresponding matching difference as the matching result of the characteristics to be changed to finish the matching.
2. The method as claimed in claim 1, wherein the logic conversion method for order configuration across information systems,
the correlation relational expression comprises a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price change algorithm.
3. The method as claimed in claim 1, wherein the logic conversion method for order configuration across information systems,
and changing and matching the characteristics to be changed according to the correlation relational expression to obtain the attribute value and the matching difference of the matched characteristics.
4. An order configuration logic conversion system across information systems, comprising:
the order initialization module is configured to receive an order creation request, generate a configuration order, initialize a configuration feature group and initialize a feature attribute value of each feature in the configuration feature group;
the logic conversion module is configured to map the features and the feature attribute values into feature sentences recognized by a computer, and combine logic relations among the feature sentences into a correlation relational expression through operators;
the order assembling module is configured to select assembling characteristics meeting the requirements of the configuration orders from the full configuration characteristic base according to the correlation relational expression to obtain an assembling list;
the method for obtaining the assembly list comprises the following steps,
defining a configuration relation constraint formula by adopting a correlation constraint logic algorithm, taking a characteristic attribute value corresponding to the nth characteristic in a configuration characteristic group as an initial parameter, and screening loadable characteristic attribute values meeting the configuration relation constraint formula in a full configuration characteristic base; n is an integer of 1 or more;
classifying the obtained loadable feature attribute values of the nth feature according to feature types to obtain a configuration feature list table;
defining the price corresponding to any loadable characteristic attribute value of the ith characteristic in the configuration characteristic list table as a standard price and defining the prices of other loadable characteristic attribute values as the standard price plus a difference price by adopting a correlation price variation algorithm to obtain a price table of the loadable characteristic attribute values corresponding to all the configuration characteristics in the configuration characteristic list table; i is an integer of 1 or more;
obtaining an assembly list of the configuration order according to the obtained various characteristics in the configuration characteristic list table and the price table, the corresponding loadable characteristic attribute value and the price;
the method for carrying out change matching on the characteristics to be changed comprises the following steps,
acquiring a feature to be changed, initializing a feature attribute value of the feature to be changed, and defining the feature attribute value as a first attribute value;
a correlation program logic algorithm is adopted, change constraint conditions are defined according to change requirements, characteristic attribute values meeting the change constraint conditions are screened from a fully-configured characteristic base library and defined as second attribute values;
storing all second attribute values meeting the change constraint condition as a change characteristic attribute value set;
taking the mth second attribute value, substituting the mth second attribute value into a configuration relation constraint formula, judging whether the condition is met, if so, storing the mth second attribute value into a selection feature library, and if not, discarding the mth second attribute value; m is an integer of 1 or more;
defining the price of any second attribute value in the matching feature library as a standard price, and obtaining a matching differential price according to the difference between the basic price and the standard price of other second attribute values;
and (4) taking the characteristic attribute values in the matching characteristic library and the corresponding matching difference as the matching result of the characteristics to be changed to finish the matching.
5. The system for logic conversion of order configuration across information systems as recited in claim 4,
the order assembling module also comprises a step of carrying out change matching on the characteristics to be changed according to the correlation relational expression to obtain a matching characteristic attribute value and a matching price difference.
6. The system for logic conversion of order configuration across information systems as recited in claim 4,
the correlation relational expression comprises a correlation constraint logic algorithm, a correlation program logic algorithm and a correlation price change algorithm.
7. An electronic device comprising a memory and a processor and computer instructions stored on the memory and executed on the processor, the computer instructions when executed by the processor performing the steps of a method of cross information system order configuration logic conversion as claimed in any one of claims 1 to 3.
8. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of a method of logic conversion for order configuration across information systems as claimed in any one of claims 1 to 3.
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| CN102044016A (en) * | 2010-12-13 | 2011-05-04 | 沈阳东大中新科技有限公司 | Method and device for realizing automatic product configuration by utilizing spreadsheet definition rule |
| CN108353034A (en) * | 2016-01-11 | 2018-07-31 | 环球互连及数据中心公司 | Framework for data center's infrastructure monitoring |
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