CN112579742A - Block chain-based enterprise message loss determination method, equipment and medium - Google Patents
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Abstract
The application discloses a block chain-based enterprise message loss determining method, equipment and a medium, wherein the method comprises the following steps: determining a pre-created blockchain platform; determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform; determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform; removing the enterprise node from the blockchain platform. After the enterprise loses credit, the corresponding loss credit condition is written into the blockchain platform for storage, so that accurate and timely public notice can be realized, and the enterprise nodes are removed from the blockchain platform, so that the enterprise nodes in the blockchain platform are guaranteed to be trustworthy, and the enterprise nodes are convenient for consumers to inquire. And because the blockchain platform is in distributed storage, data tampering of a single node cannot be effective, and the truthfulness and the credibility of the data on the blockchain platform are ensured.
Description
Technical Field
The application relates to the field of block chains, in particular to a block chain-based enterprise message loss determination method, equipment and medium.
Background
With the continuous development of global economy, China also has opportunities in the development and the revolutionary era, the stable increase of economy also promotes the development of various industries, and the problems of enterprise credit, product quality and the like are increasingly important.
In the prior art, a plurality of methods exist for determining the trust of an enterprise, but an accurate and timely confirmation method is lacked after the trust of the enterprise is lost.
Disclosure of Invention
In order to solve the above problem, the present application provides a block chain-based enterprise trust loss determination method, including: determining a pre-created blockchain platform; determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform; determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform; removing the enterprise node from the blockchain platform.
In one example, removing the enterprise node from the blockchain platform comprises: judging whether the message loss condition is caused by the enterprise node; if so, removing the enterprise node from the blockchain platform.
In one example, determining whether the loss of trust condition was caused by the enterprise node comprises: determining an event corresponding to the message loss condition; determining associated enterprise nodes corresponding to the enterprise nodes according to the events, wherein the associated enterprise nodes comprise upstream enterprise nodes and downstream enterprise nodes; and judging whether the message loss condition is caused by the enterprise node and/or the associated enterprise node.
In one example, determining, according to the event, an associated enterprise node corresponding to the enterprise node includes: determining a pre-established knowledge graph, wherein the knowledge graph comprises enterprise nodes and the relationship among the nodes corresponding to the enterprise nodes under each event; and determining the associated enterprise node corresponding to the enterprise node according to the knowledge graph and the event.
In one example, prior to removing the enterprise node from the blockchain platform, the method further comprises: determining a vouching node for the loss of confidence condition; determining that the enterprise node solves the loss of credit condition within a certain time period, and the enterprise node and the guarantee node do not generate a new loss of credit condition; the enterprise node is no longer removed from the blockchain platform.
In one example, after determining a vouching node for the loss of trust condition, the method further comprises: determining that the loss of credit condition is not solved by the enterprise node within a certain time period, or that a new loss of credit condition is generated by the enterprise node or the guarantee node; removing the enterprise node and the vouching node from the blockchain platform.
In one example, determining a vouching node for the loss of trust condition comprises: determining that the message loss condition does not belong to one of preset message loss conditions; determining a reason for the loss of credit of the loss of credit condition; and determining that the guarantee node has guarantee qualification according to the reason of the loss of credit, and enabling the guarantee node to be used as a guarantee node corresponding to the loss of credit condition.
In one example, the method further comprises: generating corresponding intelligent contracts and deploying the intelligent contracts in the blockchain platform, wherein the intelligent contracts comprise enterprise information intelligent contracts, loss-of-trust condition intelligent contracts and removal intelligent contracts; the enterprise information intelligent contract is used for determining enterprise information corresponding to an enterprise node and writing the enterprise information into the block chain platform; the intelligent contract for the loss of credit condition is used for determining the loss of credit condition of the enterprise node and writing the loss of credit condition into a block chain platform; the remove intelligent contract is used to remove the enterprise node from the blockchain platform.
On the other hand, the application also provides enterprise credit loss determination equipment based on the block chain, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: determining a pre-created blockchain platform; determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform; determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform; removing the enterprise node from the blockchain platform.
In another aspect, the present application further provides a non-volatile computer storage medium storing computer-executable instructions configured to: determining a pre-created blockchain platform; determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform; determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform; removing the enterprise node from the blockchain platform.
The block chain-based enterprise message loss confirmation method has the following beneficial effects that:
after the enterprise loses credit, the corresponding loss credit condition is written into the blockchain platform for storage, so that accurate and timely public notice can be realized, and the enterprise nodes are removed from the blockchain platform, so that the enterprise nodes in the blockchain platform are guaranteed to be trustworthy, and the enterprise nodes are convenient for consumers to inquire. And because the blockchain platform is in distributed storage, data tampering of a single node cannot be effective, and the truthfulness and the credibility of the data on the blockchain platform are ensured.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of an enterprise credit loss determination method based on a block chain in an embodiment of the present application;
fig. 2 is a schematic diagram of an enterprise credit loss determination device based on a blockchain in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present application provides a block chain-based enterprise trust loss determination method, including:
s101, determining a pre-established block chain platform.
The Blockchain (Blockchain) is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like, and is essentially a decentralized database.
A blockchain platform created based on the blockchain framework may first be determined. The blockchain frame may be any blockchain frame capable of implementing the corresponding function of the embodiment of the present application, for example, bitcoin, etherhouse, Fabric, Corda, and the like. A blockchain platform may refer to a platform that stores a blockchain, e.g., may be a distributed system, etc. Of course, the blockchain platform may also directly represent the blockchain itself, and is not limited herein.
An enterprise that is trustworthy may be incorporated into the blockchain platform via an admissible node of the blockchain platform. Based on this, the blockchain platform may include a plurality of enterprise nodes, which are trusted enterprises, in addition to the admission node, the supervision node, and the like.
S102, determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform.
Certainly, when an enterprise node is admitted, first, it is necessary to determine relevant enterprise information corresponding to the enterprise, and write the relevant enterprise information into the block chain platform, so as to store and record the relevant information of the enterprise node. The enterprise information may include information about the enterprise itself, such as the relative qualification, market value, and location, or the information about the business provided by the enterprise, or the product information about the product produced, processed, and sold by the enterprise.
Specifically, when the enterprise node executes a service or produces a processed product, the action executed by the enterprise node and the related content can be written into the blockchain platform, so that the enterprise information in the blockchain platform is guaranteed to be true and credible. Information can be written in through the internet of things technology, for example, after the warehousing equipment of an enterprise scans products needing warehousing, corresponding product information can be written in the block chain platform.
S103, determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into a block chain platform.
If the enterprise node is confirmed to be in the loss condition, the loss condition can be written into the block chain platform for public notice. The condition of losing confidence refers to the condition that the enterprise generates illegal violation in the operation process or fails to fulfill the commitment of the enterprise. The loss of confidence condition includes various types, for example, the product quality can not reach the standard, food safety problems occur, service does not fulfill the commitment, and the like. In general, in order to ensure the accuracy of the written loss situation, an authority such as a government department may be used as a supervisory node to determine the loss situation, and the supervisory node is responsible for writing the loss situation to ensure the real reliability of the loss situation. When the information loss condition is written, the time, the place, the corresponding type, the related personnel and the like can be written into the block chain platform to ensure the integrity of the information.
And S104, removing the enterprise node from the blockchain platform.
If the enterprise node is in a distrust condition, the enterprise node is not trusted any more, and the enterprise node is removed from the block chain platform. Of course, if the enterprise node is modified and then meets the trust requirement, the enterprise node can be re-admitted to the blockchain platform. The removing standard may be that the enterprise node is removed as long as the enterprise node loses confidence, or may be removed after the enterprise node loses confidence to a certain extent.
In one embodiment, a corresponding determination of a loss of trust condition may be made first before removing an enterprise node from the blockchain platform. If the determination is made that the enterprise node is caused by the enterprise node itself, the enterprise node is removed from the blockchain platform. If the loss of trust condition is not caused by the enterprise node or is not caused by the enterprise node only, whether the enterprise node and other enterprise nodes causing the loss of trust condition are removed from the blockchain platform can be further judged according to the actual condition.
Specifically, an event corresponding to the loss of information condition may be determined first. Events include multiple types including, for example, loss of credit for a product, loss of credit for a service, etc. The product losing confidence refers to the product-related losing confidence, including that the product quality does not meet the standard, the product quantity does not meet the requirement, the product processing process does not meet the standard and the like, and the service losing confidence refers to the service-related losing confidence, including that the service flow does not meet the standard, the staff attitude is bad, the overlord clause appears in the service process and the like.
And then determining associated enterprise nodes corresponding to the enterprise nodes according to the specific event types and event contents corresponding to the events, wherein the associated enterprise nodes comprise upstream enterprise nodes and/or downstream enterprise nodes, and finally judging whether the message loss condition is caused by one or more of the enterprise nodes and the associated enterprise nodes. For example, when the enterprise node is a manufacturing enterprise corresponding to a certain product, a user reaction or a spot check by a government department finds that a serious quality problem occurs in some products manufactured and processed by the enterprise sold in the market, thereby generating a loss of credit condition. At this time, it may be determined that the upstream enterprise node corresponding to the enterprise node includes an enterprise node providing raw materials, an enterprise node transporting raw materials, and the like, and the downstream enterprise node includes an enterprise node transporting products, an enterprise node selling products, and the like, according to the event. And then further determine which enterprise nodes caused the loss of trust. The method is characterized in that a raw material provider provides a corresponding detection certificate, a raw material transporter provides a signing certificate provided by a production and processing enterprise node, a production and processing party also provides all relevant data in the production and processing process, the certification conforms to the production and processing flow, and the condition of losing confidence can be proved not to be caused by the production and processing flow. The product transport party can not provide corresponding certification, and the seller provides related warehousing certification, so that when the product is received, the outer package of part of the product is damaged, the large probability of the loss of confidence is caused by the enterprise node corresponding to the product transport, and the enterprise node corresponding to the sales organization is subjected to inaccurate checking and still has secondary responsibility for sales. Based on the method, the enterprise nodes corresponding to product transportation can be removed from the block chain platform, the enterprise nodes corresponding to product sales are listed as important concerned nodes, and whether the enterprise nodes are in a loss of confidence or not is mainly concerned in a subsequent period of time.
In order to find the associated enterprise node more accurately, a corresponding knowledge graph can be created in advance. The knowledge graph may include enterprise nodes and, at events, inter-node relationships between the enterprise nodes. When the associated enterprise node is judged, the associated enterprise node corresponding to the enterprise node in the event can be judged through the knowledge graph.
In one embodiment, before an enterprise node is removed from the blockchain platform, if there are other enterprise nodes that are willing to vouch for this loss of trust of the enterprise node, the enterprise may be referred to as a vouching node, and the enterprise node is temporarily not removed and bound to the vouching node. In a certain time length in the future, the enterprise node solves the problem corresponding to the loss of credit condition through modes such as rectification, modification and the like, and in the time length, the enterprise node and the guarantee node do not generate new loss of credit conditions, so that the enterprise node can not be removed from the block chain platform any more.
Certainly, if the problem corresponding to the loss of credit condition is still not solved by the enterprise node within a certain time, or at least one enterprise node generates a new loss of credit condition in the enterprise node and the guarantee node, both are removed from the block chain platform because the enterprise node and the guarantee node are bound. As the guarantee also influences the trust of the enterprise node once the guarantee fails, the other enterprise nodes can be more seriously considered when being used as guarantee nodes.
In addition, when determining the guarantee node, it is first necessary to determine that the loss of credit condition does not belong to a preset loss of credit condition. The preset loss condition represents a loss condition which is not allowed to be guaranteed, for example, a serious illegal violation condition, multiple loss problems, casualties and the like occur, and the loss condition is not allowed to be guaranteed. If the condition does not belong to the preset information loss condition, the qualification of the guarantee node needs to be further determined. The reason for the loss of credit of the loss of credit condition, for example, insufficient funds, insufficient strict supervision, etc., may be determined, and then it may be determined whether the guarantee node has guarantee eligibility according to the reason for the loss of credit, for example, whether the guarantee node has sufficient liquidity funds, whether there is a standard supervision specification, etc. If so, it can be made a guarantee node for the enterprise node in the case of loss of trust.
In one embodiment, the corresponding intelligent contracts may also be generated in advance and deployed in the blockchain platform. The intelligent contracts comprise enterprise information intelligent contracts, loss condition intelligent contracts and removal intelligent contracts; the enterprise information intelligent contract is used for determining enterprise information corresponding to the enterprise node and writing the enterprise information into the block chain platform; the intelligent contract for the loss of credit condition is used for determining the loss of credit condition of the enterprise node and writing the loss of credit condition into the block chain platform; the remove intelligence contract is used to remove the enterprise node from the blockchain platform. Since the intelligent contracts on the blockchain platform are public, each node can check whether the intelligent contracts are in accordance with the preset agreement or not and deploy the intelligent contracts on the own node. The trust degree of each enterprise node is further increased while the transaction automation degree is improved. The intelligent contract can only be changed in an upgrading mode, each node needs to be synchronously deployed, once the intelligent contract is deployed, the intelligent contract can only be executed through a program, interference of human factors is avoided, and the reliability of data is enhanced.
As shown in fig. 2, an embodiment of the present application further provides an enterprise credit loss determination device based on a block chain, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
determining a pre-created blockchain platform;
determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform;
determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform;
removing the enterprise node from the blockchain platform.
An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are configured to:
determining a pre-created blockchain platform;
determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform;
determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform;
removing the enterprise node from the blockchain platform.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An enterprise credit loss determination method based on a block chain is characterized by comprising the following steps:
determining a pre-created blockchain platform;
determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform;
determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform;
removing the enterprise node from the blockchain platform.
2. The method of claim 1, wherein removing the enterprise node from the blockchain platform comprises:
judging whether the message loss condition is caused by the enterprise node;
if so, removing the enterprise node from the blockchain platform.
3. The method of claim 2, wherein determining whether the loss of trust condition was caused by the enterprise node comprises:
determining an event corresponding to the message loss condition;
determining associated enterprise nodes corresponding to the enterprise nodes according to the events, wherein the associated enterprise nodes comprise upstream enterprise nodes and downstream enterprise nodes;
and judging whether the message loss condition is caused by the enterprise node and/or the associated enterprise node.
4. The method of claim 3, wherein determining the associated enterprise node corresponding to the enterprise node based on the event comprises:
determining a pre-established knowledge graph, wherein the knowledge graph comprises enterprise nodes and the relationship among the nodes corresponding to the enterprise nodes under each event;
and determining the associated enterprise node corresponding to the enterprise node according to the knowledge graph and the event.
5. The method of claim 1, wherein prior to removing the enterprise node from the blockchain platform, the method further comprises:
determining a vouching node for the loss of confidence condition;
determining that the enterprise node solves the loss of credit condition within a certain time period, and the enterprise node and the guarantee node do not generate a new loss of credit condition;
the enterprise node is no longer removed from the blockchain platform.
6. The method of claim 5, wherein after determining a vouching node for the loss of trust condition, the method further comprises:
determining that the loss of credit condition is not solved by the enterprise node within a certain time period, or that a new loss of credit condition is generated by the enterprise node or the guarantee node;
removing the enterprise node and the vouching node from the blockchain platform.
7. The method of claim 5, wherein determining a vouching node for the loss of confidence condition comprises:
determining that the message loss condition does not belong to one of preset message loss conditions;
determining a reason for the loss of credit of the loss of credit condition;
and determining that the guarantee node has guarantee qualification according to the reason of the loss of credit, and enabling the guarantee node to be used as a guarantee node corresponding to the loss of credit condition.
8. The method of claim 1, further comprising:
generating corresponding intelligent contracts and deploying the intelligent contracts in the blockchain platform, wherein the intelligent contracts comprise enterprise information intelligent contracts, loss-of-trust condition intelligent contracts and removal intelligent contracts;
the enterprise information intelligent contract is used for determining enterprise information corresponding to an enterprise node and writing the enterprise information into the block chain platform;
the intelligent contract for the loss of credit condition is used for determining the loss of credit condition of the enterprise node and writing the loss of credit condition into a block chain platform;
the remove intelligent contract is used to remove the enterprise node from the blockchain platform.
9. An enterprise credit loss determination device based on a blockchain, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
determining a pre-created blockchain platform;
determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform;
determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform;
removing the enterprise node from the blockchain platform.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
determining a pre-created blockchain platform;
determining enterprise information corresponding to the enterprise node, and writing the enterprise information into the block chain platform;
determining that the enterprise node has a loss of credit condition, and writing the loss of credit condition into the block chain platform;
removing the enterprise node from the blockchain platform.
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| CN202011553631.8A CN112579742A (en) | 2020-12-24 | 2020-12-24 | Block chain-based enterprise message loss determination method, equipment and medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113989035A (en) * | 2021-12-28 | 2022-01-28 | 江苏荣泽信息科技股份有限公司 | Public credit information public management system based on block chain |
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2020
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113989035A (en) * | 2021-12-28 | 2022-01-28 | 江苏荣泽信息科技股份有限公司 | Public credit information public management system based on block chain |
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