CN116258521A - Secondary node identification application integral management method based on blockchain technology - Google Patents
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Abstract
The invention discloses a block chain technology-based secondary node identification application point management method, which is applied to a alliance chain, wherein the alliance chain comprises an intelligent point calculation module and is used for acquiring business behavior data generated by enterprise nodes; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
Description
Technical Field
The invention relates to the technical field of industrial Internet, in particular to a secondary node identification application integral management method based on a blockchain technology.
Background
The industrial Internet identification analysis secondary node is used as one of important network infrastructure construction, and aims to break information islands, promote industrial Internet data intercommunication, realize seamless transfer of data and information among elements and systems, and realize 'cross-enterprise-cross industry-cross region-cross country' identification data management and sharing. The industrial Internet identification analysis secondary node mainly provides identification analysis service for industries and enterprises, is an important hub for connecting the national top-level node and the enterprises, and is an important component for industrial Internet identification analysis. At present, tap enterprises in various industries are actively put into construction of the industrial Internet identification analysis secondary node.
However, in the current secondary node construction process, most enterprises are not willing to contribute to the data registration identification in the enterprises, and even if the enterprise nodes are built, the data in the current enterprise field is difficult to actively build and comb.
Therefore, there is a need to propose a solution that promotes the enthusiasm of enterprises and users to share information, and promotes the construction of benign development of industrial data ecology.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a block chain technology-based secondary node identification application point management method, which aims to promote the enthusiasm of enterprises and users for sharing information and promote the construction of benign development of industrial data ecology.
In order to achieve the above object, the present invention provides a blockchain technology-based secondary node identifier application point management method, where the blockchain technology-based secondary node identifier application point management method is applied to a federated chain, the federated chain includes a point intelligent computing module, and the blockchain technology-based secondary node identifier application point management method includes:
acquiring business behavior data generated by enterprise nodes;
performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
the integral calculation results are shared to each node of the coalition chain.
Optionally, the step of acquiring business behavior data generated by the enterprise node includes at least one of:
acquiring storage information of the knowledge graph framework which is audited and released by the enterprise node;
acquiring reporting process information generated by middleware in the enterprise node;
Acquiring inquiry process information and/or inquired process information generated by middleware in the enterprise node;
and obtaining recharging information generated by the alliance link points corresponding to the enterprise nodes.
Optionally, the knowledge-graph architecture includes a combination element, the combination element includes each object element, and the storage information of the knowledge-graph architecture includes the combination element, and block information and sequence order of each object element.
Optionally, the step of obtaining the reporting process information generated by the middleware in the enterprise node includes:
acquiring enterprise system data reported by a corresponding service system through the middleware;
judging whether the enterprise system data is bound with a corresponding knowledge graph architecture or not through middleware of the enterprise node;
and if the enterprise system data is bound with the corresponding knowledge graph architecture, obtaining the reporting process information according to the enterprise system data, and sharing the reporting process information to each node of the alliance chain through a knowledge graph architecture management system to which the enterprise node belongs.
Optionally, the middleware includes the combination element and a binding relationship corresponding to each object element, the reporting process information includes a data binding combination number and a reporting data number, and the step of obtaining the reporting process information according to the enterprise system data includes:
And generating the reporting process information according to the binding relation in the middleware called in the enterprise system data reporting process.
Optionally, before the step of obtaining the queried process information and/or queried process information generated by the enterprise node, the method further includes:
acquiring an information inquiry request initiated by middleware of the enterprise node;
judging whether the information object identifier associated with the information inquiry request is applied for registration by the enterprise node through the middleware of the enterprise node;
if the information object identifier associated with the information query request is not the enterprise node application registration, acquiring an information query result from a corresponding node, wherein the corresponding node comprises at least one of a recursive node, a top node, a secondary node to which an identifier generation enterprise node belongs and an identifier generation enterprise node;
and generating query process information of the enterprise node and queried process information of the identification generation enterprise node according to the information query result, wherein the query process information comprises the number of combination types and the number of queried data, and the queried process information comprises the number of combination types and the number of queried data.
Optionally, the step of obtaining the result of the integral calculation by the integral intelligent calculation module based on the business behavior data includes at least one of the following:
the integration intelligent computing module is used for disassembling and integrating the knowledge graph framework which is audited and released by the enterprise node according to the stored information of the knowledge graph framework to obtain an integration computing result;
performing integral calculation according to the number of the data binding combinations, the number of the reported data strips and a preset first integral coefficient by the integral intelligent calculation module to obtain an integral calculation result, wherein the integral calculation result comprises an enterprise node integral result and/or a user node integral result;
performing integral calculation according to query process information and/or queried process information generated by enterprise nodes and a preset second integral coefficient through the integral intelligent calculation module to obtain an integral calculation result;
and carrying out integral calculation according to recharging information generated by the enterprise node through the integral intelligent calculation module to obtain an integral calculation result.
Optionally, the step of disassembling and performing integral calculation on the knowledge spectrum architecture that is audited and issued by the enterprise node according to the stored information of the knowledge spectrum architecture to obtain the integral calculation result includes:
Based on the block information and sequence order of the combined elements and the object elements in the stored information of the knowledge graph architecture, automatically disassembling the knowledge graph architecture which is audited and released by the enterprise node to obtain disassembled combined elements;
calculating the complexity of the knowledge graph framework based on a preset evaluation rule according to each disassembled combined element through the integral intelligent calculation module;
and calculating distribution integral amount according to the complexity, and obtaining the integral calculation result according to the distribution integral amount.
Optionally, the step of obtaining the integral calculation result by the integral intelligent calculation module according to the query process information and/or the queried process information generated by the enterprise node and the preset second integral coefficient includes at least one of the following steps:
calculating to obtain a deducted integral unit according to the number of combination types and the number of query data in the query process information generated by the enterprise node and the deducted integral unit, and obtaining the integral calculation result according to the deducted integral unit;
And calculating to obtain an increased integral unit according to the number of combination types and the number of queried data in the queried process information of the enterprise node generated by the increased integral coefficient and the identifier, and obtaining the integral calculation result according to the increased integral unit.
In addition, in order to achieve the above object, the present invention further provides a secondary node identifier application point management device based on a blockchain technology, the secondary node identifier application point management device based on a blockchain technology includes:
the acquisition module is used for acquiring business behavior data generated by the enterprise node;
the calculation module is used for carrying out integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
and the consensus module is used for sharing the integral calculation result to each node of the alliance chain.
In addition, to achieve the above object, the present invention also provides a terminal device including a memory, a processor, and an integral management program stored on the memory and executable on the processor, the integral management program implementing the steps of applying an integral management method based on a secondary node identification of a blockchain technology as described above when executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer readable storage medium having stored thereon an integral management program which, when executed by a processor, implements the steps of applying an integral management method to a secondary node identification based on a blockchain technique as described above.
The embodiment of the invention provides a block chain technology-based secondary node identification application point management method, which is implemented by acquiring business behavior data generated by enterprise nodes; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
Drawings
FIG. 1 is a schematic diagram of a functional module of a terminal device to which a secondary node identification application point management device based on a blockchain technology belongs;
FIG. 2 is a flow chart of an exemplary embodiment of a blockchain technique based secondary node identification application credit management method of the present invention;
FIG. 3 is a schematic flowchart of step S10 in the embodiment of FIG. 2;
fig. 4 is a schematic flowchart of step S20 in the embodiment of fig. 2.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The main solutions of the embodiments of the present invention are: acquiring business behavior data generated by enterprise nodes; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
Technical terms related to the embodiment of the invention:
blockchain (Blockchain): a chain consisting of a plurality of blocks, each block storing a certain information, which are connected into a chain according to a respective time sequence;
alliance chain (Alliance chain): the block chain is used for managing a plurality of organizations or organizations together, each organization or organization controls one or more nodes to record transaction data together, and an organization in the alliance can read and write data or send transactions on the alliance chain nodes.
Specifically, referring to fig. 1, fig. 1 is a schematic diagram of a functional module of a terminal device to which a secondary node identifier application point management device based on a blockchain technology belongs. The secondary node identification application point management device based on the blockchain technology can be a device which is independent of terminal equipment and can carry out point management, and can be carried on the terminal equipment in a form of hardware or software. The terminal equipment can be an intelligent mobile terminal with a data processing function such as a mobile phone and a tablet personal computer, and can also be a fixed terminal equipment or a server with a data processing function.
In this embodiment, the terminal device to which the blockchain technology-based secondary node identifier application point management device belongs at least includes an output module 110, a processor 120, a memory 130, and a communication module 140.
The memory 130 stores an operating system and an integral management program, and the secondary node identification application integral management device based on the blockchain technology can store the acquired business behavior data generated by the enterprise node and information such as an integral calculation result and the like obtained by integral calculation based on the business behavior data through an integral intelligent calculation module; the output module 110 may be a display screen or the like. The communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external device or a server through the communication module 140.
Wherein the integration management program in the memory 130 when executed by the processor performs the steps of:
acquiring business behavior data generated by enterprise nodes;
performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
the integral calculation results are shared to each node of the coalition chain.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
acquiring storage information of the knowledge graph framework which is audited and released by the enterprise node;
Acquiring reporting process information generated by middleware in the enterprise node;
acquiring inquiry process information and/or inquired process information generated by middleware in the enterprise node;
and obtaining recharging information generated by the alliance link points corresponding to the enterprise nodes.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
acquiring enterprise system data reported by a corresponding service system through the middleware;
judging whether the enterprise system data is bound with a corresponding knowledge graph architecture or not through middleware of the enterprise node;
and if the enterprise system data is bound with the corresponding knowledge graph architecture, obtaining the reporting process information according to the enterprise system data, and sharing the reporting process information to each node of the alliance chain through a knowledge graph architecture management system to which the enterprise node belongs.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
and generating the reporting process information according to the binding relation in the middleware called in the enterprise system data reporting process.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
Acquiring an information inquiry request initiated by middleware of the enterprise node;
judging whether the information object identifier associated with the information inquiry request is applied for registration by the enterprise node through the middleware of the enterprise node;
if the information object identifier associated with the information query request is not the enterprise node application registration, acquiring an information query result from a corresponding node, wherein the corresponding node comprises at least one of a recursive node, a top node, a secondary node to which an identifier generation enterprise node belongs and an identifier generation enterprise node;
and generating query process information of the enterprise node and queried process information of the identification generation enterprise node according to the information query result, wherein the query process information comprises the number of combination types and the number of queried data, and the queried process information comprises the number of combination types and the number of queried data.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
the integration intelligent computing module is used for disassembling and integrating the knowledge graph framework which is audited and released by the enterprise node according to the stored information of the knowledge graph framework to obtain an integration computing result;
Performing integral calculation according to the number of the data binding combinations, the number of the reported data strips and a preset first integral coefficient by the integral intelligent calculation module to obtain an integral calculation result, wherein the integral calculation result comprises an enterprise node integral result and/or a user node integral result;
performing integral calculation according to query process information and/or queried process information generated by enterprise nodes and a preset second integral coefficient through the integral intelligent calculation module to obtain an integral calculation result;
and carrying out integral calculation according to recharging information generated by the enterprise node through the integral intelligent calculation module to obtain an integral calculation result.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
based on the block information and sequence order of the combined elements and the object elements in the stored information of the knowledge graph architecture, automatically disassembling the knowledge graph architecture which is audited and released by the enterprise node to obtain disassembled combined elements;
calculating the complexity of the knowledge graph framework based on a preset evaluation rule according to each disassembled combined element through the integral intelligent calculation module;
And calculating distribution integral amount according to the complexity, and obtaining the integral calculation result according to the distribution integral amount.
Further, the integration management program in the memory 130 when executed by the processor also performs the following steps:
calculating to obtain a deducted integral unit according to the number of combination types and the number of query data in the query process information generated by the enterprise node and the deducted integral unit, and obtaining the integral calculation result according to the deducted integral unit;
and calculating to obtain an increased integral unit according to the number of combination types and the number of queried data in the queried process information of the enterprise node generated by the increased integral coefficient and the identifier, and obtaining the integral calculation result according to the increased integral unit.
According to the scheme, the business behavior data generated by the enterprise nodes are obtained; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
The method embodiment of the invention is proposed based on the above-mentioned terminal equipment architecture but not limited to the above-mentioned architecture.
The execution subject of the method of the embodiment may be a secondary node identifier application point management device or a terminal device based on the blockchain technology, and the embodiment uses the secondary node identifier application point management device based on the blockchain technology as an example.
Referring to fig. 2, fig. 2 is a flow chart illustrating an exemplary embodiment of a blockchain technology-based secondary node identification application credit management method according to the present invention. The secondary node identification application point management method based on the blockchain technology comprises the following steps:
step S10, acquiring business behavior data generated by enterprise nodes;
specifically, the knowledge graph architecture management system based on the blockchain technology is an enterprise node in a secondary node construction platform serving as a comprehensive industry knowledge system, and is a management module based on knowledge graph architectures of different industry types, enterprise types, production processes, production flows and the like. And after receiving the knowledge spectrum architecture block and the auditing state information block, the knowledge spectrum platform enterprise node judges whether the auditing is passed or not, and if the auditing is passed, each element in the knowledge spectrum architecture information is registered with a secondary node and a national node application identifier to which the enterprise node belongs, so that each enterprise node can apply the knowledge spectrum architecture information.
Optionally, the knowledge graph architecture management system may identify user behaviors generated by the enterprise node, and acquire relevant business behavior data, where the relevant business behavior data includes stored information of the knowledge graph architecture that the enterprise node audits and issues, reporting process information generated by middleware in the enterprise node, query process information and/or queried process information and recharging information generated by middleware in the enterprise node, and so on, so as to perform integral calculation.
Step S20, performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
further, based on the knowledge-graph architecture which is released and audited by each node on the alliance chain, the system automatically disassembles the knowledge-graph architecture, calculates the complexity of the knowledge-graph, and further evaluates the distribution of the credit limit to the user.
Optionally, when the enterprise node alliance chain node generates system data in the enterprise system, the enterprise node middleware automatically reports the system data to the enterprise node, judges whether the currently reported interface data is bound with a knowledge graph architecture, if so, the enterprise node middleware automatically calculates the integral which can be acquired by the current enterprise system node and the integral which can be acquired by a user node which issues the current knowledge graph architecture by binding the combined number of the current data with the knowledge graph architecture (for example, one order number can be synchronously bound with three combinations of order number, commodity name, order number, commodity number and order number, generation and logistics order number). For example, the number of combinations of data binding of the integral coefficient may be 0.8, for example, the number of combinations of data binding of the integral coefficient may be 0.2, and the user node issuing the current knowledge-graph architecture commonly knows each node of the federation chain.
Optionally, when each enterprise node (such as an e-commerce enterprise node, a manufacturing enterprise node or other more enterprise nodes) initiates an identification information analysis query, the enterprise node middleware judges whether an identification corresponding to an information object associated with the current information query is registered for the current enterprise node, if not, the identification information is acquired from a recursion node, a country top-level node, a secondary node to which the identification generating enterprise node belongs, the identification generating enterprise node and the like, whether the current enterprise node acquires a query result locally or the enterprise node generated by the identification, the type number and the query data number are combined in an applied and associated knowledge graph architecture, and each enterprise node performs query and queried process information. For example, for a federation chain node of an enterprise node system that initiates a query, the number of combinations queried is deducted from the credit limit = credit coefficient, and for a federation chain node of an enterprise node system invoked by the query by identifying resolution, the number of combinations queried is increased from the credit limit = credit coefficient.
Alternatively, the federation link point of the enterprise node system may also acquire points by way of recharging.
And step S30, sharing the integral calculation result to each node of the alliance chain.
Furthermore, after the integral calculation result is obtained by the integral intelligent calculation module according to the stored information of the knowledge graph framework, the reporting process information generated by the middleware in the enterprise node, the inquiring process information generated by the middleware in the enterprise node, the inquired process information, the recharging information and the like, the integral calculation result can be shared to each node of the alliance chain, so that the business behavior data of the enterprise node is quantized into integral, and each enterprise node and the user node can carry out data sharing and inquiring activities according to the integral, and the benign developed industry data ecology is constructed.
In this embodiment, business behavior data generated by an enterprise node is obtained; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
Referring to fig. 3, fig. 3 is a specific flowchart of step S10 in the embodiment of fig. 2. The present embodiment is based on the embodiment shown in fig. 2, and in the present embodiment, the step S10 includes at least one of the following:
step S101, obtaining the storage information of the knowledge graph framework which is audited and released by the enterprise node;
optionally, the knowledge graph architecture includes each combination element, the combination element includes each object element, and the storage information of the knowledge graph architecture includes the combination element, the block information and the sequence order of each object element.
Specifically, knowledge-graph architecture producers in different fields and with different expertise can access a knowledge-graph architecture management system blockchain, the producers select industries, product types, service types (such as production, marketing, electronic commerce and the like) and even can extend to specific platforms or enterprises based on own expertise, for example, for enterprise employee nodes with established enterprise nodes, dedicated knowledge-graph architectures can be established based on the industry and service attributes of the enterprise, and uploaded to knowledge-graph architecture blocks, commonly known to all nodes, the knowledge-graph architecture management system operation nodes based on the blockchain technology receive the knowledge-graph architecture blocks, download the knowledge-graph architecture blocks to the local and check whether current knowledge-graph architecture information accords or not, and if so, the verification passes, and related knowledge-graph architecture block sequences and verification states are uploaded to corresponding verification information blocks. And after the knowledge graph architecture block and the auditing state blockchain information are received, judging whether the current knowledge graph architecture information is audited to pass or not, if so, applying for the secondary node of the comprehensive industry knowledge system to carry out identification registration on specific type noun objects and relationship word objects in the specific knowledge graph architecture, and obtaining returned identification codes and objects (comprising the type noun objects, the relationship word objects and the like) to carry out corresponding construction of identification and object mapping dictionary tables.
Optionally, the knowledge-graph architecture is stored in an "entity-relationship-entity" manner, for example: based on the graphic knowledge graph structure design, element frame graphics (such as graphic frames of boxes, parallelograms and the like) are entities, lines (double-headed arrow lines, unidirectional arrow lines, lines without arrow lines and the like) are relationships, and when a user designs the graphics, a system is limited to be connected in a physical-relationship-physical mode, and the knowledge graph structure management platform disassembles the images according to the user design, and generates block information and sequence in a physical-relationship-physical combination mode and connected sequence for storage.
In addition, the user can also directly select entity names and related words, and the system automatically generates a knowledge graph framework, so that the user can check. The system is limited to be connected in a physical-relational-physical mode, the knowledge graph framework management platform disassembles images according to user design, and the images are stored in a physical-relational-physical combination mode and connected sequence generation block information and sequence.
Further, after the knowledge graph framework which is released and audited by the enterprise node is obtained, the knowledge graph framework can be disassembled, the complexity of the knowledge graph is calculated through the integral intelligent calculation module, and the distribution of the integral amount to the user is evaluated.
Step S102, obtaining reporting process information generated by middleware in the enterprise node;
optionally, the step of obtaining the reporting process information generated by the middleware corresponding to the enterprise node includes:
acquiring enterprise system data reported by a corresponding service system through the middleware;
judging whether the enterprise system data is bound with a corresponding knowledge graph architecture or not through middleware of the enterprise node;
and if the enterprise system data is bound with the corresponding knowledge graph architecture, obtaining the reporting process information according to the enterprise system data, and sharing the reporting process information to each node of the alliance chain through a knowledge graph architecture management system to which the enterprise node belongs.
Specifically, in the embodiment of the invention, a low-code development middleware of a secondary node is provided, and is in butt joint with a knowledge-graph framework interface of a knowledge-graph framework management system to acquire knowledge-graph framework data of industries, enterprises, businesses and the like covered by current secondary node construction, and is communicated with an enterprise node system under the secondary node, a middleware module is established at the enterprise node, and an enterprise developer can perform data association development based on the low-code middleware module, namely: the middleware provides data knowledge graph architecture information related to enterprise internal data, for example, an order object is generated by an order object, the order object comprises a commodity name object, a commodity quantity object and the like, when an enterprise developer is used for interfacing an ERP system with an enterprise node for development, a data interface field of the ERP system is correspondingly bound to each object element in the knowledge graph architecture, for example, an order data field of the ERP is correspondingly bound to a order number object of the knowledge graph architecture, commodity data of the ERP order is correspondingly bound to a commodity object and the like contained in the order number object in the knowledge graph architecture, the enterprise developer only needs to develop an enterprise system interface and associate and bind a field of interface data with the object of the knowledge graph architecture, when the enterprise system generates data, the enterprise node is used for carrying out data object identification registration on a secondary node and a national node, and acquiring a returned identification code and an object (enterprise system data object and the like) to correspondingly build an identification and object mapping dictionary table.
Optionally, the middleware includes a combination element and a binding relation corresponding to each object element, the reporting process information includes a data binding combination number and a reporting data number, and the step of obtaining the reporting process information according to the enterprise system data includes:
and generating the reporting process information according to the binding relation in the middleware called in the enterprise system data reporting process.
Further, when the enterprise node alliance chain node generates system data in the enterprise system, the enterprise node middleware automatically reports to the enterprise node, judges whether the currently reported interface data is bound with a knowledge graph architecture, if so, the currently reported interface data is bound with the combination quantity of the bound knowledge graph architecture (for example, an order number can be synchronously bound with an order number-containing-commodity name-order number-containing-commodity number-order number-generation-logistics list number combination), each node of the alliance chain is shared by the knowledge graph architecture management system to which the enterprise node belongs, the corresponding binding relation in the middleware is required to be called in the process of reporting the enterprise system data, reporting process information can be obtained according to the type and the number of times of calling the binding relation, wherein the number of the data binding combinations and the number of reported data are included, and then the integral which can be acquired by the current enterprise system node and the integral which can be acquired by the user node for issuing the current knowledge graph architecture are automatically calculated by the integral intelligent calculation module according to the reporting process information.
Step S103, acquiring inquiry process information and/or inquired process information generated by middleware in the enterprise node;
optionally, before the step of obtaining the queried process information and/or queried process information generated by the enterprise node, the method further includes:
acquiring an information inquiry request initiated by middleware of the enterprise node;
judging whether the information object identifier associated with the information inquiry request is applied for registration by the enterprise node through the middleware of the enterprise node;
if the information object identifier associated with the information query request is not the enterprise node application registration, acquiring an information query result from a corresponding node, wherein the corresponding node comprises at least one of a recursive node, a top node, a secondary node to which an identifier generation enterprise node belongs and an identifier generation enterprise node;
and generating query process information of the enterprise node and queried process information of the identification generation enterprise node according to the information query result, wherein the query process information comprises the number of combination types and the number of queried data, and the queried process information comprises the number of combination types and the number of queried data.
Specifically, when a user side initiates a data query, the user initiates a query to load an enterprise system (including an enterprise ERP system, an electronic commerce system and the like) to dock an enterprise node system of an enterprise, the enterprise node system responds to information queried by the user, such as logistics progress information of a query order, the enterprise node system calls middleware to query information combination of 'order number-generation-logistics number' of a current order number, sequentially queries the logistics number information, queries an identification code corresponding to the logistics number according to an identification mapping dictionary table, searches a middleware database table of the current electronic commerce for combined information of 'logistics number-including-logistics progress', and if the combined information exists, obtains logistics progress information through the combined information of 'logistics number-including-logistics progress'. If the current enterprise does not have logistics distribution service, logistics progress information cannot be acquired through enterprise internal data, an e-commerce business node automatically applies for identification analysis query to a recursive node, the recursive node applies for identification analysis query to a national top-level node, a secondary node address to which identification information is registered is acquired, then the enterprise node initiated by a bidding registration application is acquired from the secondary node address, logistics progress information is acquired through a 'logistics list number-containing-logistics progress' of an enterprise node middleware and fed back to a user, and further query of internal and external association information of the enterprise is completed, and query process information and queried process information are generated.
When each enterprise node (such as an e-business enterprise node, a manufacturing enterprise node or other more enterprise nodes) initiates an identification information analysis query, the enterprise node middleware judges whether the identification corresponding to the information object associated with the current information query is registered for the current enterprise node, if not, the identification information is acquired from a recursion node, a country top node, a secondary node to which the identification generating enterprise node belongs, the identification generating enterprise node and the like, whether the current enterprise node acquires a query result locally or the enterprise node generated by the identification, the number of types and the number of query data are combined in the applied and associated knowledge graph architecture, and each enterprise node is queried and queried.
Step S104, obtaining recharging information generated by the alliance link points corresponding to the enterprise nodes.
Optionally, when the enterprise node points are insufficient or have a larger data query requirement, the points can be increased in a recharging mode, so that the enterprise can conveniently complete the query of the related information inside and outside the enterprise and inside and outside the industry.
According to the scheme, the enterprise node is obtained to audit and issue the storage information of the knowledge graph framework; acquiring reporting process information generated by middleware in the enterprise node; acquiring inquiry process information and/or inquired process information generated by middleware in the enterprise node; and obtaining recharging information generated by the alliance link points corresponding to the enterprise nodes. And converting and recording the business behavior data generated by the enterprise nodes so as to facilitate the calculation by the integral intelligent calculation module and realize the quantification of the business behavior data.
Referring to fig. 4, fig. 4 is a schematic flowchart of step S20 in the embodiment of fig. 2. The present embodiment is based on the embodiment shown in fig. 2, and in the present embodiment, the step S20 includes at least one of the following:
step S201, disassembling and integrating calculation are carried out on the knowledge graph architecture which is audited and released by the enterprise node according to the stored information of the knowledge graph architecture through the integrating intelligent calculation module, so that an integrating calculation result is obtained;
optionally, the step of disassembling and performing integral calculation on the knowledge graph architecture that is audited and issued by the enterprise node according to the stored information of the knowledge graph architecture by the integral intelligent calculation module to obtain the integral calculation result includes:
based on the block information and sequence order of the combined elements and the object elements in the stored information of the knowledge graph architecture, automatically disassembling the knowledge graph architecture which is audited and released by the enterprise node to obtain disassembled combined elements;
calculating the complexity of the knowledge graph framework based on a preset evaluation rule according to each disassembled combined element through the integral intelligent calculation module;
And calculating distribution integral amount according to the complexity, and obtaining the integral calculation result according to the distribution integral amount.
Specifically, based on the knowledge spectrum architecture which is released and audited by the node users on the alliance chain, the system automatically disassembles the knowledge spectrum architecture, calculates the complexity of the knowledge spectrum, and further evaluates the distribution of the credit limit to the users. By presetting evaluation rules (not limited to this rule, the integral intelligent computing module can customize configuration rules according to the situation), for example: and calculating the integral limit which can be obtained by the current user and commonly identifying each node of the alliance chain according to the integral coefficient, wherein the entity repetition number is greater than 1 and/or the current knowledge graph architecture relation word number.
Step S202, performing integral calculation according to the number of data binding combinations, the number of reported data pieces and a preset first integral coefficient by the integral intelligent calculation module to obtain an integral calculation result, wherein the integral calculation result comprises an enterprise node integral result and/or a user node integral result;
specifically, when the enterprise node alliance chain node generates system data, the enterprise node middleware automatically reports the system data to the enterprise node, judges whether the currently reported interface data is bound with a knowledge graph architecture, if so, the combination quantity of the current data with the bound knowledge graph architecture (for example, one order number can be synchronously bound with three combinations of order number-commodity name-containing order number-commodity number-order number-generation-logistics order number) is shared with each node of the alliance chain through a knowledge graph architecture management system to which the enterprise node belongs, and an integral intelligent calculation module automatically calculates an integral which can be acquired by the current enterprise system node and an integral which can be acquired by a user node which issues the current knowledge graph architecture. For example, the number of combinations of data binding of the integral coefficient may be 0.8, for example, the number of combinations of data binding of the integral coefficient may be 0.2, and the user node issuing the current knowledge-graph architecture commonly knows each node of the federation chain.
Step 203, performing integral calculation according to the query process information and/or the queried process information generated by the enterprise node and a preset second integral coefficient through the integral intelligent calculation module to obtain an integral calculation result;
optionally, the step of obtaining the integral calculation result by the integral intelligent calculation module according to the query process information and/or the queried process information generated by the enterprise node and the preset second integral coefficient includes at least one of the following steps:
calculating to obtain a deducted integral unit according to the number of combination types and the number of query data in the query process information generated by the enterprise node and the deducted integral unit, and obtaining the integral calculation result according to the deducted integral unit;
and calculating to obtain an increased integral unit according to the number of combination types and the number of queried data in the queried process information of the enterprise node generated by the increased integral coefficient and the identifier, and obtaining the integral calculation result according to the increased integral unit.
Specifically, when each enterprise node (such as an e-commerce enterprise node, a manufacturing enterprise node or other more enterprise nodes) initiates an identification information analysis query, the enterprise node middleware judges whether the identification corresponding to the information object associated with the current information query is registered for the current enterprise node, if not, the identification information is acquired from a recursion node, a country top-level node, a secondary node to which the identification generating enterprise node belongs, the identification generating enterprise node and the like, whether the current enterprise node acquires a query result locally or the enterprise node generated by the identification, the number of types and the number of query data are combined in the applied and associated knowledge graph architecture, and each enterprise node performs query and queried process information. For example, for the federated chain nodes of the enterprise node system that initiated the query, deduct the amount of points = the amount of points coefficients the number of combinations queried is increased for the federated chain nodes of the enterprise node system invoked by the query by identifying resolution
And S204, performing integral calculation according to recharging information generated by the enterprise node through the integral intelligent calculation module to obtain an integral calculation result.
Optionally, when the enterprise node points are insufficient or have a larger data query requirement, the points can be increased in a recharging mode, so that the enterprise can conveniently complete the query of the related information inside and outside the enterprise and inside and outside the industry. The conversion ratio of the recharging amount and the integral can be preset according to actual conditions.
According to the scheme, the integration calculation result is obtained by disassembling and integrating the knowledge graph framework which is audited and issued by the enterprise node according to the stored information of the knowledge graph framework through the integration intelligent calculation module; performing integral calculation according to the number of the data binding combinations, the number of the reported data strips and a preset first integral coefficient by the integral intelligent calculation module to obtain an integral calculation result, wherein the integral calculation result comprises an enterprise node integral result and/or a user node integral result; performing integral calculation according to query process information and/or queried process information generated by enterprise nodes and a preset second integral coefficient through the integral intelligent calculation module to obtain an integral calculation result; and carrying out integral calculation according to recharging information generated by the enterprise node through the integral intelligent calculation module to obtain an integral calculation result. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
In addition, the embodiment of the invention also provides a secondary node identification application point management device based on the blockchain technology, which comprises the following components:
the acquisition module is used for acquiring business behavior data generated by the enterprise node;
the calculation module is used for carrying out integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
and the consensus module is used for sharing the integral calculation result to each node of the alliance chain.
The principle and implementation process of the present embodiment for implementing the point management are referred to the above embodiments, and are not repeated herein.
In addition, the embodiment of the invention also provides a terminal device, which comprises a memory, a processor and an integral management program stored on the memory and capable of running on the processor, wherein the integral management program realizes the steps of applying the integral management method based on the secondary node identification of the blockchain technology when being executed by the processor.
Because the integration management program is executed by the processor and adopts all the technical schemes of all the embodiments, the integration management program at least has all the beneficial effects brought by all the technical schemes of all the embodiments and is not described in detail herein.
In addition, the embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with an integral management program, and the integral management program realizes the steps of applying the integral management method to the secondary node identification based on the blockchain technology when being executed by a processor.
Because the integration management program is executed by the processor and adopts all the technical schemes of all the embodiments, the integration management program at least has all the beneficial effects brought by all the technical schemes of all the embodiments and is not described in detail herein.
Compared with the prior art, the secondary node identification application point management method based on the blockchain technology provided by the embodiment of the invention obtains the business behavior data generated by the enterprise node; performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result; the integral calculation results are shared to each node of the coalition chain. And the obtained business behavior data generated by the enterprise nodes are subjected to integral calculation through an integral intelligent calculation module, the obtained integral calculation result is shared to each node of the alliance chain, and the business behavior data of the enterprise nodes are quantized into integral, so that the enthusiasm of sharing information of enterprises and users is improved, and the construction of benign development of industrial data ecology is promoted.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to perform the method of each embodiment of the present application.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (12)
1. The utility model provides a secondary node sign application point management method based on block chain technology, which is characterized in that the secondary node sign application point management method based on block chain technology is applied to a alliance chain, the alliance chain comprises an intelligent point calculation module, and the secondary node sign application point management method based on block chain technology comprises the following steps:
acquiring business behavior data generated by enterprise nodes;
performing integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
the integral calculation results are shared to each node of the coalition chain.
2. The blockchain technology based secondary node identification application credit management method of claim 1, wherein the step of obtaining business behavior data generated by the enterprise node includes at least one of:
Acquiring storage information of the knowledge graph framework which is audited and released by the enterprise node;
acquiring reporting process information generated by middleware in the enterprise node;
acquiring inquiry process information and/or inquired process information generated by middleware in the enterprise node;
and obtaining recharging information generated by the alliance link points corresponding to the enterprise nodes.
3. The blockchain technology-based secondary node identification application point management method as in claim 2, wherein the knowledge-graph architecture includes a combination element, the combination element includes each object element, and the stored information of the knowledge-graph architecture includes the combination element and the block information and sequence order of each object element.
4. The blockchain technology based secondary node identification application credit management method of claim 3, wherein the step of obtaining the reporting process information generated by the middleware in the enterprise node comprises:
acquiring enterprise system data reported by a corresponding service system through the middleware;
judging whether the enterprise system data is bound with a corresponding knowledge graph architecture or not through middleware of the enterprise node;
And if the enterprise system data is bound with the corresponding knowledge graph architecture, obtaining the reporting process information according to the enterprise system data, and sharing the reporting process information to each node of the alliance chain through a knowledge graph architecture management system to which the enterprise node belongs.
5. The blockchain technology-based secondary node identification application point management method as in claim 4, wherein the middleware includes binding relationships corresponding to the combination elements and the object elements, the reporting process information includes a number of data binding combinations and a number of reporting data pieces, and the step of obtaining the reporting process information according to the enterprise system data includes:
and generating the reporting process information according to the binding relation in the middleware called in the enterprise system data reporting process.
6. The blockchain technology-based secondary node identification application credit management method of claim 2, wherein the step of obtaining the queried process information and/or queried process information generated by the enterprise node further comprises, prior to:
acquiring an information inquiry request initiated by middleware of the enterprise node;
Judging whether the information object identifier associated with the information inquiry request is applied for registration by the enterprise node through the middleware of the enterprise node;
if the information object identifier associated with the information query request is not the enterprise node application registration, acquiring an information query result from a corresponding node, wherein the corresponding node comprises at least one of a recursive node, a top node, a secondary node to which an identifier generation enterprise node belongs and an identifier generation enterprise node;
and generating query process information of the enterprise node and queried process information of the identification generation enterprise node according to the information query result, wherein the query process information comprises the number of combination types and the number of queried data, and the queried process information comprises the number of combination types and the number of queried data.
7. The blockchain technology-based secondary node identification application point management method according to any one of claims 1 to 6, wherein the step of performing point calculation based on the business behavior data by the point intelligent calculation module to obtain a point calculation result includes at least one of:
The integration intelligent computing module is used for disassembling and integrating the knowledge graph framework which is audited and released by the enterprise node according to the stored information of the knowledge graph framework to obtain an integration computing result;
performing integral calculation according to the number of the data binding combinations, the number of the reported data strips and a preset first integral coefficient by the integral intelligent calculation module to obtain an integral calculation result, wherein the integral calculation result comprises an enterprise node integral result and/or a user node integral result;
performing integral calculation according to query process information and/or queried process information generated by enterprise nodes and a preset second integral coefficient through the integral intelligent calculation module to obtain an integral calculation result;
and carrying out integral calculation according to recharging information generated by the enterprise node through the integral intelligent calculation module to obtain an integral calculation result.
8. The blockchain technology-based secondary node identification application point management method as in claim 7, wherein the step of disassembling and performing point calculation on the enterprise node audit passing and issuing knowledge graph architecture according to the stored information of the knowledge graph architecture to obtain the point calculation result comprises the following steps:
Based on the block information and sequence order of the combined elements and the object elements in the stored information of the knowledge graph architecture, automatically disassembling the knowledge graph architecture which is audited and released by the enterprise node to obtain disassembled combined elements;
calculating the complexity of the knowledge graph framework based on a preset evaluation rule according to each disassembled combined element through the integral intelligent calculation module;
and calculating distribution integral amount according to the complexity, and obtaining the integral calculation result according to the distribution integral amount.
9. The blockchain technology-based secondary node identification application point management method as in claim 7, wherein the second point coefficient includes deducting point coefficient and adding point coefficient, and the step of performing point calculation by the point intelligent calculation module according to the query process information and/or the queried process information generated by the enterprise node and the preset second point coefficient to obtain the point calculation result includes at least one of the following:
calculating to obtain a deducted integral unit according to the number of combination types and the number of query data in the query process information generated by the enterprise node and the deducted integral unit, and obtaining the integral calculation result according to the deducted integral unit;
And calculating to obtain an increased integral unit according to the number of combination types and the number of queried data in the queried process information of the enterprise node generated by the increased integral coefficient and the identifier, and obtaining the integral calculation result according to the increased integral unit.
10. The utility model provides a second grade node identification application point management device based on blockchain technique, its characterized in that, second grade node identification application point management device based on blockchain technique is applied to the alliance chain, the alliance chain includes point intelligent computing module, second grade node identification application point management device based on blockchain technique includes:
the acquisition module is used for acquiring business behavior data generated by the enterprise node;
the calculation module is used for carrying out integral calculation based on the business behavior data through the integral intelligent calculation module to obtain an integral calculation result;
and the consensus module is used for sharing the integral calculation result to each node of the alliance chain.
11. A terminal device comprising a memory, a processor and an integration management program stored on the memory and executable on the processor, which when executed by the processor implements the steps of applying an integration management method based on blockchain technology secondary node identification as claimed in any of claims 1-9.
12. A computer readable storage medium, wherein the computer readable storage medium has stored thereon an integration management program, which when executed by a processor, implements the steps of applying an integration management method to a blockchain technology based secondary node identification as claimed in any of claims 1-9.
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