CN115130014B - Inter-enterprise data cross-link interaction method - Google Patents

Inter-enterprise data cross-link interaction method Download PDF

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CN115130014B
CN115130014B CN202210775362.2A CN202210775362A CN115130014B CN 115130014 B CN115130014 B CN 115130014B CN 202210775362 A CN202210775362 A CN 202210775362A CN 115130014 B CN115130014 B CN 115130014B
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韩敏
孙林夫
高蕴慧
孙毓方
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Southwest Jiaotong University
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Abstract

The invention relates to the technical field of enterprise data collaboration, in particular to a data cross-link interaction method among enterprises, which comprises a cross-link linkage business collaboration system T and a cross-link linkage business collaboration systemT comprises a core manufacturing enterprise, a third-party cloud service platform and a collaboration enterprise group, wherein the cross-link linkage business collaboration system T is a finite set, and is represented by a triplet T= { E, P, A }, and the enterprise set E= { E 1 ，E 2 ，...，E n -the collaborative business activity set a= { a } 1 ，A 2 ，...，A n Multi-chain value chain c= { C } 1 ，C 2 ，...，C n Collaborative relationship set r= { R L ，R MC ，R AC ，R HC The data exchange interface of the cooperative enterprise business interaction interface layer interacts business activity data from the core manufacturing enterprise and the cooperative enterprise; storing the data in a database of a data layer, and classifying and integrating the data to form a theme database; mapping rule processing is carried out on the data set to form service components, different service components form component libraries, and different component libraries form a system layer based on cross-chain linkage; the system layer serves the core manufacturing enterprises and the cooperative enterprises through the cooperative enterprise business interaction interface layer.

Description

Inter-enterprise data cross-link interaction method
Technical Field
The invention relates to the technical field of enterprise data collaboration, in particular to a data cross-link interaction method between enterprises.
Background
At present, a large amount of business data is accumulated in a third-party cloud platform by each enterprise, but the enterprises have competition relationship, each enterprise can only inquire own business data, so each enterprise is on an information island, and resources cannot be utilized interactively to the greatest extent.
How to form the linkage of the cross-chain information, effectively utilize a large amount of resources of the third party platform, improve the utilization rate of the resources, reduce the cost of enterprises, and improve the economic benefit of the enterprises, which is a problem and pain point that needs to be solved by each enterprise at present.
Disclosure of Invention
The invention aims at: aiming at the problem that the prior enterprises do not form cross-chain information linkage and do not effectively utilize a large amount of resources of a third party platform, the data cross-chain interaction method between enterprises is provided, and the aim of realizing the cooperation among a plurality of value chains by integrating and breaking through a single value chain is achieved.
In order to achieve the above object, the present invention provides the following technical solutions:
a method for inter-enterprise data cross-link interaction comprises the following steps:
s1, a business interaction layer in a third party cloud platform receives business activity data from a core enterprise and a collaboration enterprise, wherein the core enterprise is connected with a collaboration enterprise group at the upstream and the downstream to construct a value chain;
s2, storing the business activity data in the step S1 in a database, classifying according to the types of the business activity data, wherein the business activity data comprises production data, marketing data, quality data, accessory data and service data, and forming a theme database of each classification;
s3, forming a component layer based on at least one different topic database, wherein functional components for searching activity data in the topic database forming the component layer are arranged in the component layer, the component layer is used for forming a service system based on cross-chain collaboration, the service system comprises a plurality of value chains, and the cross-chain collaboration of the plurality of value chains is realized under the support of a third party cloud platform, the cross-chain collaboration of the plurality of value chains is that enterprises on one value chain and enterprises on the other chain have a cross-chain collaboration relationship, core factories on two value chains are not the same enterprise, and enterprise sets of the two value chains have intersection sets at the upstream of an activity initiating enterprise;
s4, forming a cross-chain linkage business collaboration system T by cross-chain linkage collaboration among all value chains of a system layer, wherein the cross-chain linkage business collaboration system T is a finite set, T= { E, P, A }, E is an enterprise set, P is a third party platform, A is a business activity set, and E= { E is an enterprise set 1 ，E 2 ，...，E n -the collaborative business activity set a= { a } 1 ，A 2 ，...，A n And (2) finishing service collaboration of the collaboration enterprise to the core enterprise through the cross-link linkage service collaboration system T, and performing service on the core enterprise and the collaboration enterprise through the service interaction layer, wherein n is a positive integer.
Further, the enterprise set E includes coresHeart enterprise h= { H n |n∈N + N is a natural number }, collaboration enterprise x= { X n |n∈N + N is a natural number and the business initiating enterprise y= { Y n |n∈N + N is a natural number }, where E n ∈H n ∪X n ∪Y n The method comprises the steps of carrying out a first treatment on the surface of the The core enterprise H comprises a core manufacturing enterprise H Z With other core enterprises H Q ，H＝H Z ∪H Q The method comprises the steps of carrying out a first treatment on the surface of the The core manufacturing enterprise comprises a part supplier G= { G n |n∈N + N is natural number }, automobile manufacturer z= { Z n |n∈N + N is a natural number }; the other core enterprises comprise distributors J= { J n |n∈N + N is a natural number }, fitting agent p= { P n |n∈N + N is a natural number } and a service provider f= { F n |n∈N + N is a natural number }, the collaboration enterprise X includes enterprise types and the other core enterprises H Q The type of enterprise involved is the same.
Further, the value chain is a value chain constructed by connecting a core enterprise with an upstream and downstream cooperative enterprise group,
Figure GDA0004087088730000031
the collaboration relationship between enterprises includes an upstream-downstream collaboration relationship, the expression is r= { RL }, the expression of the value chain (H 1 ，X n ，R n ) The method comprises the following steps:
Figure GDA0004087088730000032
the multi-core value network is formed by constructing the multi-core value chains and the upstream and downstream cooperative relations of the value chains and the business cooperative relations among the multi-cores, and the expression is as follows
Figure GDA0004087088730000034
Figure GDA0004087088730000035
The collaboration relationship between enterprises comprises an upstream-downstream collaboration relationship R L Multi-chain linkage cooperative relationship R MC Cross-chain interactive collaboration relationship R AC And super-chain fusion cooperative relationship R HC The expression is R= { R L ，R MC ，R AC ，R HC Expression of multi-core value network (H) n ，X n ，R n ) The method comprises the following steps:
Figure GDA0004087088730000033
further, the inter-chain interactive collaboration relationship is from at least 2 chain value chains C i 、C j Multiple enterprises E of (E) p 、E q The cooperative relationship exists, and the expression is R (p, q) =R for the cross-chain interactive cooperative relationship AC Value chain C i Enterprise E on p With another strand C j Enterprise E on q There is a cross-chain collaboration relationship, p, q εn, R=R AC To accomplish cross-chain interaction collaboration, two value chains C i and Cj A common collaborative enterprise X is required and should be upstream of the activity-initiating enterprise Y, including two cases: the accessory suppliers on the two value chains are the same enterprise; two value chains C i and Cj Is not the same house, i.e. E p 、E q E H, have
Figure GDA0004087088730000041
wherein ,
Figure GDA0004087088730000042
respectively represent enterprise E p And enterprise E q Upstream provider of->
Figure GDA0004087088730000043
Representing enterprise E p Upstream whole-vehicle manufacturing plant,/->
Figure GDA0004087088730000044
Representing enterprise E q Upstream of the whole vehicle manufacturing plant.
Further, the service active set a= { a n N is a positive integer, n is the number of activities, the business activity set a= (D, E, C, R), D is the cross-link linkage business activity type set, E is the cross-link linkage business activity enterprise set, C is the cross-link linkage business activity value chain set, and R is the cross-link linkage collaboration relationship;
the D is a cross-chain interactive service activity type set, and comprises maintenance service knowledge sharing and accessory inventory sharing; for a pair of
Figure GDA0004087088730000045
Presence of E i ∈Y、/>
Figure GDA0004087088730000046
When the method is used, the following steps are included: />
Figure GDA0004087088730000047
C i The value chain set related to the current activity is more than or equal to 2 in number; d (D) i The number of the service types in the current service activity is 1; e (E) i The number of the implementation subject enterprises which are movable is 1; e (E) j Is an active collaborative enterprise set, and the number of the active collaborative enterprise sets is more than or equal to 2; r is R i Is a collaboration relationship in an activity, and is fixed as a cross-chain interaction collaboration relationship R AC 。
Further, the linear upstream-downstream cooperative relationship is a linear upstream-downstream cooperative relationship between an enterprise on one value chain and another enterprise adjacent to the enterprise on the same chain; the multi-chain linkage cooperative relationship is a cooperative relationship existing among a plurality of enterprises from at least 3 chain value chains; the inter-chain interaction cooperation relationship is that when an enterprise on one value chain and an enterprise on the other chain have the inter-chain cooperation relationship, core factories on the two value chains are not the same enterprise; the super-chain fusion cooperative relationship is a business cooperative relationship existing between an upstream enterprise of a core manufacturer and a downstream enterprise of the core manufacturer on the same value chain.
Further, according to the definitions of the enterprise set, the value chain set, the collaboration relationship and the business activity set, the cross-chain interaction collaboration method of enterprise data is k= (C, a), and the expression is:
Figure GDA0004087088730000051
n and m are positive integers, and the enterprise data cross-chain interaction cooperative method K consists of two parts: a traditional value chain set consisting of n chain value chains and linear upstream-downstream cooperative relations in the chains; and m inter-chain linkage business collaborative activities among the multiple chain value chains.
Further, repeating the steps S1 to S4, where the third party cloud platform collects data generated in the service process, and is used to update the service component iteratively.
Further, the business component comprises a fitting purchase application component, a factory fitting management and control component, a maintenance service support component and a maintenance knowledge query component, wherein the fitting purchase application component supports a cross-chain interactive fitting purchase application service, the factory fitting management and control component supports a cross-chain interactive factory fitting management and control service, the maintenance service support component supports a cross-chain interactive maintenance service support service, and the maintenance knowledge query component supports a cross-chain interactive maintenance knowledge query service.
Further, the system comprises a cross-chain linkage business collaboration system T, wherein the cross-chain linkage business collaboration system T comprises a core manufacturing enterprise, a third party cloud platform and a collaboration enterprise group, the third party cloud platform comprises a multi-core value network supporting multi-value chain collaboration, and the multi-value chain collaboration is the mutual connection collaboration between a plurality of upstream and downstream collaboration value chains formed by a plurality of core manufacturing enterprises and the collaboration enterprise group; the third party cloud platform comprises a business interaction layer, a business component and a service system; the collaboration enterprise group comprises a provider group, a dealer group, an agent group and a service business group, the inter-enterprise data inter-link interaction method is based on the inter-enterprise data inter-link interaction system T, the collaboration enterprise set serves the core enterprise through the service interaction layer of the third party cloud platform, and inter-enterprise data inter-link interaction is completed.
Compared with the prior art, the invention has the beneficial effects that:
in the scheme of the application, taking maintenance knowledge sharing as an example, a professional maintenance knowledge base is constructed, a maintenance knowledge map is formed to be shared on a third-party platform, a fault solving method can be quickly and accurately found by service stations of other chains, and the service stations can update the knowledge base in real time, so that the purpose of quickly solving the fault problem is achieved. The information island of the traditional value chain is broken, a cross-chain interaction business collaboration system based on a third-party platform is constructed, a plurality of chain value chains are implied by the multi-core value network, and the cross-chain interaction is used for breaking through to achieve the collaboration among the plurality of value chains by a single value chain, so that business collaboration among enterprises is better supported, and the aims of improving service efficiency and rapidly responding to the market are achieved.
Description of the drawings:
FIG. 1 is a schematic diagram of a cross-link linkage business collaboration architecture;
FIG. 2 is a schematic diagram of a cross-chain interaction collaboration method.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It will be apparent that the described embodiments are some, but not all, embodiments of the invention.
Thus, the following detailed description of the embodiments of the invention is not intended to limit the scope of the invention, as claimed, but is merely representative of some embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, under the condition of no conflict, the embodiments of the present invention and the features and technical solutions in the embodiments may be combined with each other.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be noted that, the terms "upper", "lower", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or an azimuth or a positional relationship conventionally put in use of the inventive product, or an azimuth or a positional relationship conventionally understood by those skilled in the art, such terms are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or element to be referred must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Embodiment one: as can be seen in figures 1 and 2,
the inter-enterprise data cross-link interaction method provided by the embodiment comprises the following steps:
s1, a business interaction layer in a third party cloud platform receives business activity data from a core enterprise and a collaboration enterprise, wherein the core enterprise is connected with a collaboration enterprise group at the upstream and the downstream to construct a value chain;
s2, storing the business activity data in the step S1 in a database, classifying according to the types of the business activity data, wherein the business activity data comprises production data, marketing data, quality data, accessory data and service data, and forming a theme database of each classification;
s3, forming a component layer based on at least one different topic database, wherein functional components for searching activity data in the topic database forming the component layer are arranged in the component layer, the component layer is used for forming a service system based on cross-chain collaboration, the service system comprises a plurality of value chains, and the cross-chain collaboration of the plurality of value chains is realized under the support of a third party cloud platform, the cross-chain collaboration of the plurality of value chains is that enterprises on one value chain and enterprises on the other chain have a cross-chain collaboration relationship, core factories on two value chains are not the same enterprise, and enterprise sets of the two value chains have intersection sets at the upstream of an activity initiating enterprise;
s4, forming a cross-chain linkage business collaboration system T by cross-chain linkage collaboration among all value chains of a system layer, wherein the cross-chain linkage business collaboration system T is a finite set, T= { E, P, A }, E is an enterprise set, P is a third party platform, A is a business activity set, and E= { E is an enterprise set 1 ，E 2 ，...，E n -the collaborative business activity set a= { a } 1 ，A 2 ，...，A n And (2) finishing service collaboration of the collaboration enterprise to the core enterprise through the cross-link linkage service collaboration system T, and performing service on the core enterprise and the collaboration enterprise through the service interaction layer, wherein n is a positive integer.
Further, the enterprise set E includes a core enterprise h= { H n |n∈N + N is a natural number }, collaboration enterprise x= { X n |n∈N + N is a natural number and the business initiating enterprise y= { Y n |n∈N + N is a natural number }, where E n ∈H n ∪X n ∪Y n The method comprises the steps of carrying out a first treatment on the surface of the The core enterprise H comprises a core manufacturing enterprise H Z With other core enterprises H Q ，H＝H Z ∪H Q The method comprises the steps of carrying out a first treatment on the surface of the The core manufacturing enterprise comprises a part supplier G= { G n |n∈N + N is natural number }, automobile manufacturer z= { Z n |n∈N + N is a natural number }; the other core enterprises comprise distributors J= { J n |n∈N + N is a natural number }, fitting agent p= { P n |n∈N + N is a natural number } and a service provider f= { F n |n∈N + N is a natural number }, the collaboration enterprise X includes enterprise types and the other core enterprises H Q The type of enterprise involved is the same.
Further, the value chain is a value chain constructed by connecting a core enterprise with an upstream and downstream cooperative enterprise group,
Figure GDA0004087088730000091
the collaboration relationship between enterprises comprises an upstream-downstream collaboration relationship, and the expression is R= { R L Expression of the value chain (H) 1 ，X n ，R n ) The method comprises the following steps:
Figure GDA0004087088730000092
the multi-core value network is formed by constructing the multi-core value chains and the upstream and downstream cooperative relations of the value chains and the business cooperative relations among the multi-cores, and the expression is as follows
Figure GDA0004087088730000093
Figure GDA0004087088730000094
The collaboration relationship between enterprises comprises an upstream-downstream collaboration relationship R L Multi-chain linkage cooperative relationship R MC Cross-chain interactive collaboration relationship R AC And super-chain fusion cooperative relationship R HC The expression is R= { R L ,R MC ,R AC ,R HC Expression of multi-core value network (H) n ,X n ,R n ) The method comprises the following steps:
Figure GDA0004087088730000101
further, the inter-chain interactive collaboration relationship is from at least 2 chain value chains C i 、C j Multiple enterprises E of (E) p 、E q The cooperative relationship exists, and the expression is R (p, q) =R for the cross-chain interactive cooperative relationship AC Value chain C i Enterprise E on p With another strand C j Enterprise E on q There is a cross-chain collaboration relationship, p, q εn, R=R AC To accomplish cross-chain interaction collaboration, two value chains C i and Cj Is required to have a common collaboration enterprise X, and the common collaborationEnterprise X should be upstream of activity-initiating enterprise Y, including two cases: the accessory suppliers on the two value chains are the same enterprise; two value chains C i and Cj Is not the same house, i.e. E p 、E q E H, have
Figure GDA0004087088730000102
wherein ,
Figure GDA0004087088730000103
respectively represent enterprise E p And enterprise E q Upstream provider of->
Figure GDA0004087088730000104
Representing enterprise E p Upstream whole-vehicle manufacturing plant,/->
Figure GDA0004087088730000105
Representing enterprise E q Upstream of the whole vehicle manufacturing plant.
Further, the service active set a= { a n N is a positive integer, n is the number of activities, the business activity set a= (D, E, C, R), D is the cross-link linkage business activity type set, E is the cross-link linkage business activity enterprise set, C is the cross-link linkage business activity value chain set, and R is the cross-link linkage collaboration relationship;
the D is a cross-chain interactive service activity type set, and comprises maintenance service knowledge sharing and accessory inventory sharing; for a pair of
Figure GDA0004087088730000111
Presence of E i ∈Y、/>
Figure GDA0004087088730000112
When the method is used, the following steps are included:
Figure GDA0004087088730000113
C i the value chain set related to the current activity is more than or equal to 2 in number; d (D) i The number of the service types in the current service activity is 1; e (E) i The number of the implementation subject enterprises which are movable is 1; e (E) j Is an active collaborative enterprise set, and the number of the active collaborative enterprise sets is more than or equal to 2; r is R i Is a collaboration relationship in an activity, and is fixed as a cross-chain interaction collaboration relationship R AC 。
Further, the linear upstream-downstream cooperative relationship is a linear upstream-downstream cooperative relationship between an enterprise on one value chain and another enterprise adjacent to the enterprise on the same chain; the multi-chain linkage cooperative relationship is a cooperative relationship existing among a plurality of enterprises from at least 3 chain value chains; the inter-chain interaction cooperation relationship is that when an enterprise on one value chain and an enterprise on the other chain have the inter-chain cooperation relationship, core factories on the two value chains are not the same enterprise; the super-chain fusion cooperative relationship is a business cooperative relationship existing between an upstream enterprise of a core manufacturer and a downstream enterprise of the core manufacturer on the same value chain.
Further, according to the definitions of the enterprise set, the value chain set, the collaboration relationship and the business activity set, the cross-chain interaction collaboration method of enterprise data is k= (C, a), and the expression is:
Figure GDA0004087088730000114
n and m are positive integers, and the enterprise data cross-chain interaction cooperative method K consists of two parts: a traditional value chain set consisting of n chain value chains and linear upstream-downstream cooperative relations in the chains; and m inter-chain linkage business collaborative activities among the multiple chain value chains.
Further, repeating the steps S1 to S4, where the third party cloud platform collects data generated in the service process, and is used to update the service component iteratively.
Further, the business component comprises a fitting purchase application component, a factory fitting management and control component, a maintenance service support component and a maintenance knowledge query component, wherein the fitting purchase application component supports a cross-chain interactive fitting purchase application service, the factory fitting management and control component supports a cross-chain interactive factory fitting management and control service, the maintenance service support component supports a cross-chain interactive maintenance service support service, and the maintenance knowledge query component supports a cross-chain interactive maintenance knowledge query service.
Further, the system comprises a cross-chain linkage business collaboration system T, wherein the cross-chain linkage business collaboration system T comprises a core manufacturing enterprise, a third party cloud platform and a collaboration enterprise group, the third party cloud platform comprises a multi-core value network supporting multi-value chain collaboration, and the multi-value chain collaboration is the mutual connection collaboration between a plurality of upstream and downstream collaboration value chains formed by a plurality of core manufacturing enterprises and the collaboration enterprise group; the third party cloud platform comprises a business interaction layer, a business component and a service system; the collaboration enterprise group comprises a provider group, a dealer group, an agent group and a service business group, the inter-enterprise data inter-link interaction method is based on the inter-enterprise data inter-link interaction system T, the collaboration enterprise set serves the core enterprise through the service interaction layer of the third party cloud platform, and inter-enterprise data inter-link interaction is completed.
The third-party platform-based cross-chain interactive service collaboration system is shown in fig. 1, and takes accessory inventory sharing as an example, inventory sharing and demand purchasing exist in the accessory chain collaboration service, and accessories can be provided for other accessory agents by sharing information such as backlog inventory; the agent inventory is managed and controlled, and the inventory is monitored in real time for the parts which are in a bad sale state or the parts which are in a shortage state, and the like, so that early warning prompt can be carried out; matching calculation is carried out on the accessory sharing inventory information and the required accessory information, required accessory information is provided by a more accurate intelligent position agency, and information sharing interaction among multiple agencies is promoted. Therefore, the information data are monitored through the third-party platform to form information integration sharing and analysis of cross-link interaction, and a cross-link interaction business collaboration system based on the third-party platform is constructed.
A cross-chain interactive service collaboration method based on a third-party platform is shown in fig. 2, and takes maintenance knowledge sharing as an example, a professional maintenance knowledge base is constructed, a maintenance knowledge map is formed to be shared on the third-party platform, service stations of other chains can quickly and accurately find out a fault solving method, and the service stations can update the knowledge base in real time, so that the purpose of quickly solving the fault problem is achieved. The information island of the traditional value chain is broken, and a cross-chain interactive service collaboration system based on a third party platform is constructed.
In the environment supporting the multi-value chain to cooperate with a third party cloud platform, a plurality of upstream and downstream cooperation enterprise groups taking manufacturing enterprises as cores are formed around automobile services, all enterprises cooperate closely by taking customer service demands as driving forces, a whole of a function and a value chain is formed, and value activities are closely related through information flows, entity flows and value flows. In the aspect of accessory inventory sharing, multi-chain accessory business data are gathered and mined, and a bridge for information cross-chain interaction is built, so that different accessory agents can search accessory supply and demand information on chains where the accessory agents are located, can search accessories on value chains of other agents and conduct transactions, sharing of inventory information urgent and short piece information is achieved, and 'information island' is broken. In the aspect of maintenance knowledge sharing, fault data of a plurality of large suppliers and a whole vehicle manufacturing plant are integrated and standardized, the data service range is enlarged, the data island in the existing mode is broken, the maintenance knowledge is updated in an iteration mode, visual management is carried out on the maintenance knowledge, the maintenance data of a service station are analyzed, the manufacturing plant is helped to know various maintenance data of the whole vehicle more, the maintenance knowledge and the maintenance data are known from different dimensionalities, and the condition of the whole vehicle is comprehensively mastered.
The above embodiments are only for illustrating the present invention and not for limiting the technical solutions described in the present invention, and although the present invention has been described in detail in the present specification with reference to the above embodiments, the present invention is not limited to the above specific embodiments, and thus any modifications or equivalent substitutions are made to the present invention; all technical solutions and modifications thereof that do not depart from the spirit and scope of the invention are intended to be included in the scope of the appended claims.

Claims (3)

1. A data cross-link interaction method between enterprises is characterized in that: the method comprises the following steps:
s1, a business interaction layer in a third party cloud platform receives business activity data from a core enterprise and a collaboration enterprise, wherein the core enterprise is connected with a collaboration enterprise group at the upstream and the downstream to construct a value chain;
s2, storing the business activity data in the step S1 in a database, classifying according to the types of the business activity data, wherein the business activity data comprises production data, marketing data, quality data, accessory data and service data, and forming a theme database of each classification;
s3, forming a component layer based on at least one different topic database, wherein functional components for searching activity data in the topic database forming the component layer are arranged in the component layer, the component layer is used for forming a service system based on cross-chain collaboration, the service system comprises a plurality of value chains, and the cross-chain collaboration of the plurality of value chains is realized under the support of a third party cloud platform, the cross-chain collaboration of the plurality of value chains is that enterprises on one value chain and enterprises on the other chain have a cross-chain collaboration relationship, core factories on two value chains are not the same enterprise, and enterprise sets of the two value chains have intersection sets at the upstream of an activity initiating enterprise;
s4, forming a cross-chain linkage business collaboration system T by cross-chain linkage collaboration among all value chains of a system layer, wherein the cross-chain linkage business collaboration system T is a finite set, T= { E, P, A }, E is an enterprise set, P is a third party platform, A is a business activity set, and E= { E is an enterprise set 1 ,E 2 ,…,E n -the set of business activities a= { a } 1 ,A 2 ,…,A n N is a positive integer, service collaboration of the collaboration enterprise to the core enterprise is completed through the cross-link linkage service collaboration system T, and service is performed to the core enterprise and the collaboration enterprise through the service interaction layer;
the enterprise set E includes core enterprises h= { H n |n∈N + N is a natural number }, collaboration enterprise x= { X n |n∈N + N is a natural number and the business initiating enterprise y= { Y n |n∈N + N is a natural number }, where E n ∈H n ∪X n ∪Y n The method comprises the steps of carrying out a first treatment on the surface of the The core enterprise H comprises a core manufacturing enterprise H Z With other core enterprises H Q ，H＝H Z ∪H Q The method comprises the steps of carrying out a first treatment on the surface of the The core manufacturing enterprise comprises a part supplier G= { G n |n∈N + N is natural number }, automobile manufacturer z= { Z n |n∈N + N is a natural number }; the other core enterprises comprise distributors J= { J n |n∈N + N is a natural number }, fitting agent p= { P n |n∈N + N is a natural number } and a service provider f= { F n |n∈N + N is a natural number }, the collaboration enterprise X includes enterprise types and the other core enterprises H Q The included enterprise types are the same;
the value chain is a value chain constructed by connecting a core enterprise with an upstream and downstream cooperative enterprise group,
Figure QLYQS_1
the collaboration relationship between enterprises comprises an upstream-downstream collaboration relationship, and the expression is R= { R L Expression of the value chain (H) 1 ,X n ,R n ) The method comprises the following steps:
Figure QLYQS_2
the multi-core value network is formed by constructing the multi-core value chains and the upstream and downstream cooperative relations of the value chains and the business cooperative relations among the multi-cores, and the expression is as follows
Figure QLYQS_3
Figure QLYQS_4
The collaboration relationship between enterprises comprises an upstream-downstream collaboration relationship R L Multi-chain linkage cooperative relationship R MC Cross-chain interactive collaboration relationship R AC And super-chain fusion cooperative relationship R HC Expression ofIs R= { R L ,R MC ,R AC ,R HC Expression of multi-core value network (H) n ,X n ,R n ) The method comprises the following steps:
Figure QLYQS_5
the inter-chain interactive cooperative relationship is from at least 2 chain type value chains C i 、C j Multiple enterprises E of (E) p 、E q The cooperative relationship exists, and the expression is R (p, q) =R for the cross-chain interactive cooperative relationship AC Value chain C i Enterprise E on p With another strand C j Enterprise E on q There is a cross-chain collaboration relationship, p, q εn, R=R AC To accomplish cross-chain interaction collaboration, two value chains C i and Cj A common collaborative enterprise X is required and should be upstream of the activity-initiating enterprise Y, including two cases: the accessory suppliers on the two value chains are the same enterprise; two value chains C i and Cj Is not the same house, i.e. E p 、E q E H, have
Figure QLYQS_6
wherein ,
Figure QLYQS_7
respectively represent enterprise E p And enterprise E q Upstream provider of->
Figure QLYQS_8
Representing enterprise E p Upstream whole-vehicle manufacturing plant,/->
Figure QLYQS_9
Representing enterprise E q Upstream whole vehicle manufacturing plants;
the service active set a= { a n N is a positive integer, n is the number of activities, the business activity set a= (D, E, C, R), D is the cross-link linkage business activity type set, E is the cross-link linkage business activity enterprise set, C is the cross-link linkage business activity value chain set, and R is the cross-link linkage collaboration relationship;
the D is a cross-chain interactive service activity type set, and comprises maintenance service knowledge sharing and accessory inventory sharing; for a pair of
Figure QLYQS_10
Presence of E i ∈Y、/>
Figure QLYQS_11
When the method is used, the following steps are included:
Figure QLYQS_12
C i the value chain set related to the current activity is more than or equal to 2 in number; d (D) i The number of the service types in the current service activity is 1; e (E) i The number of the implementation subject enterprises which are movable is 1; e (E) j Is an active collaborative enterprise set, and the number of the active collaborative enterprise sets is more than or equal to 2; r is R i Is a collaboration relationship in an activity, and is fixed as a cross-chain interaction collaboration relationship R AC ，
According to the definitions of the enterprise set, the value chain set, the collaboration relationship and the business activity set, the cross-chain interaction collaboration method of enterprise data is K= (C, A), and the expression is:
Figure QLYQS_13
n and m are positive integers, and the enterprise data cross-chain interaction cooperative method K consists of two parts: a traditional value chain set consisting of n chain value chains and linear upstream-downstream cooperative relations in the chains; and m inter-chain linkage business collaborative activities among the multiple chain value chains.
2. The method for inter-enterprise data cross-link interaction of claim 1, wherein: the linear upstream-downstream cooperative relationship is a linear upstream-downstream cooperative relationship between an enterprise on one value chain and another enterprise adjacent to the enterprise on the same chain; the multi-chain linkage cooperative relationship is a cooperative relationship existing among a plurality of enterprises from at least 3 chain value chains; the inter-chain interaction cooperation relationship is that when an enterprise on one value chain and an enterprise on the other chain have the inter-chain cooperation relationship, core factories on the two value chains are not the same enterprise; the super-chain fusion cooperative relationship is a business cooperative relationship existing between an upstream enterprise of a core manufacturer and a downstream enterprise of the core manufacturer on the same value chain.
3. The method for inter-enterprise data cross-link interaction according to any one of claims 1-2, wherein: repeating the steps S1-S4, wherein the third party cloud platform collects data generated in a service process and is used for iteratively updating service components, the service components comprise a fitting purchase application component, an original factory fitting management and control component, a maintenance service support component and a maintenance knowledge query component, the fitting purchase application component supports a fitting purchase application service of cross-chain interaction, the original factory fitting management and control component supports an original factory fitting management and control service of cross-chain interaction, the maintenance service support component supports a maintenance service support service of cross-chain interaction, and the maintenance knowledge query component supports a maintenance knowledge query service of cross-chain interaction.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002084440A2 (en) * 2001-04-12 2002-10-24 Vert Tech Llc A method and system for building digital markets
CN102622675A (en) * 2012-03-14 2012-08-01 浙江大学 Method and system for realizing interoperation of enterprises under cluster supply chain environment
CN114612242A (en) * 2022-03-17 2022-06-10 四川大学 Data management method and device based on multi-value chain collaborative mapping block chain

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7836130B2 (en) * 2007-11-30 2010-11-16 Sap Ag Method and system for providing a collaboration service in enterprise business software

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002084440A2 (en) * 2001-04-12 2002-10-24 Vert Tech Llc A method and system for building digital markets
CN102622675A (en) * 2012-03-14 2012-08-01 浙江大学 Method and system for realizing interoperation of enterprises under cluster supply chain environment
CN114612242A (en) * 2022-03-17 2022-06-10 四川大学 Data management method and device based on multi-value chain collaborative mapping block chain

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