CN111724240A - Enterprise credit evaluation system and method based on block chain and tax data - Google Patents
Enterprise credit evaluation system and method based on block chain and tax data Download PDFInfo
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Abstract
The invention discloses an enterprise credit evaluation system and method based on a block chain and tax data, relating to the technical field of block chain application; the method comprises the steps of preprocessing enterprise data, classifying tax data and other related data, conducting standardized processing on the classified tax data and other related data to generate different indexes for measuring enterprise credit, obtaining indexes which have large influence on the enterprise credit through a PCA (principal component analysis) extraction method by utilizing a public cloud, conducting calculation and evaluation on the enterprise credit through a Bayesian classification algorithm, deploying a block chain cluster by utilizing the public cloud, setting enterprise data service nodes, conducting chain linking operation on the enterprise data and enterprise credit evaluation results, and achieving enterprise credit evaluation sharing through a block chain consensus mechanism.
Description
Technical Field
The invention discloses an enterprise credit evaluation system and method, relates to the technical field of block chain application, and particularly relates to an enterprise credit evaluation system and method based on a block chain and tax data.
Background
The tax payment, namely the execution process of a taxpayer in tax collection, is to pay a part of the collective or personal income to the country according to the regulations of various national tax laws and a certain ratio.
The construction of the enterprise tax payment credit system is along with the continuous enhancement of the social influence of tax payment credit, and problems still exist in tax payment credit management, for example, the tax payment credit management coverage is still narrow, the evaluation updating period is still longer, the evaluation indexes are simpler, a credit repairing mechanism is lacked, the credit linkage is still required to be strengthened, and the like.
Disclosure of Invention
The invention provides an enterprise credit evaluation system and method based on a block chain and tax data, aiming at the problems in the prior art, the invention evaluates the current enterprise credit state by utilizing big data, realizes the chaining of the tax data by utilizing the block chain technology, prevents the tax data from being falsified and forged, can carry out authenticity check and data source pursuit on the tax data, and has very high public trust.
The specific scheme provided by the invention is as follows:
an enterprise credit assessment method based on block chains and tax data comprises the following steps: the private cloud is utilized to collect enterprise data,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the public cloud is used for obtaining indexes which have large influence on the enterprise credit by a PCA extraction method, the enterprise credit is calculated and evaluated by a Bayesian classification algorithm,
and deploying the block chain cluster by utilizing the public cloud, setting enterprise data service nodes, carrying out chain linking operation on enterprise data and an enterprise credit evaluation result, and realizing enterprise credit evaluation sharing through a block chain consensus mechanism.
In the enterprise credit evaluation method, different channels are established for different private clouds, and data interaction is carried out with a public cloud in an MQ communication mode.
The above-mentioned interactive process in the enterprise credit assessment method is:
utilizing the private cloud to acquire enterprise data, preprocessing and classifying the enterprise data to acquire tax data and other related data, carrying out standardized processing on the tax data and other related data to generate different indexes for measuring enterprise credit,
different indexes of enterprise data and enterprise credit are sent to the public cloud by the private cloud through an MQ communication mode,
and (4) utilizing the public cloud to carry out enterprise credit calculation evaluation, and realizing enterprise credit evaluation sharing through a block chain consensus mechanism.
An enterprise credit evaluation system based on block chains and tax data comprises a credit information acquisition module, a credit scoring module and a block chain cluster module,
the credit information collection module collects enterprise data using a private cloud,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the credit scoring module utilizes public cloud to obtain indexes which have large influence on enterprise credit by a PCA extraction method, and carries out calculation and evaluation on the enterprise credit by a Bayesian classification algorithm,
the block chain cluster module deploys a block chain cluster by utilizing a public cloud, sets enterprise data service nodes, carries out chaining operation on enterprise data and an enterprise credit evaluation result, and realizes enterprise credit evaluation sharing through a block chain consensus mechanism.
The credit information acquisition module in the enterprise credit evaluation system establishes different channels to enable different private clouds to interact with public clouds in an MQ communication mode.
The enterprise credit evaluation system establishes a Web end to realize unified access and visually output an enterprise credit evaluation result.
An enterprise credit assessment device based on a block chain and tax data comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program to execute the block chain and tax data-based enterprise credit assessment method.
A computer readable medium having stored thereon computer instructions, which when executed by a processor, cause the processor to perform the method for enterprise credit assessment based on blockchain and tax data.
The invention has the advantages that:
the invention provides an enterprise credit evaluation system and method based on block chains and tax data, which utilize private clouds to acquire enterprise and personal declaration, invoice and other data, perform data sorting and processing on the data to generate a series of credit indexes, and utilize public clouds to perform index re-extraction and computational analysis, obtain credit evaluation results and realize data chaining through block chain clusters, so that not only can accurate credit evaluation be performed on enterprises, and the cost of financial services is reduced; and the management coverage is wide, the updating period of credit evaluation is short, the credit restoration can be carried out at any time by utilizing the enterprise service node, and the credit linkage is stronger. The risk of data leakage in the processing, processing and transmission processes is overcome, the privacy of an enterprise is better protected, and the enterprise is served.
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FIG. 1 is a schematic flow diagram of the process of the present invention.
Detailed Description
Some concepts that the application may relate to, such as blockchain: in essence, the database is a shared database, and the data or information stored in the database has the characteristics of being unforgeable, having trace in the whole process, being traceable, being publicly transparent, having collective maintenance and the like.
Bayesian network: is a type of graphical model that uses probabilistic theory to deal with uncertainties arising from conditional correlations describing different knowledge components.
And (4) classification: a classification model is constructed using the classified and known data set, and the obtained classification model is used to give the class to which the unclassified data belongs.
PCA: principal Component Analysis (Principal Component Analysis), as an effective multivariate statistical method, is commonly used for feature extraction, and a small amount of Principal components are used for replacing original more feature information, so that the calculation amount of subsequent classification is greatly reduced.
Indexes are as follows: the minimum unit of taxpayer credit is evaluated.
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
The invention provides an enterprise credit assessment method based on a block chain and tax data, which comprises the following steps:
the private cloud is utilized to collect enterprise data,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the public cloud is used for acquiring the index which has larger influence on the enterprise credit by a PCA extraction method, acquiring the index which has larger influence on the taxpayer, reducing the operation amount, carrying out calculation and evaluation on the enterprise credit by a Bayesian classification algorithm,
and deploying the block chain cluster by utilizing the public cloud, setting enterprise data service nodes, carrying out chain linking operation on enterprise data and an enterprise credit evaluation result, and realizing enterprise credit evaluation sharing through a block chain consensus mechanism.
In the process, the block chain cluster is used for storing enterprise credit evaluation information which comprises a unique identity ID of an enterprise, an enterprise signature and encrypted enterprise credit information, the block chain cluster is also used for providing block chain service, a plurality of enterprise data service nodes are further arranged in the block chain cluster, operators of all the nodes can complete creation and modification of enterprise data through the enterprise data service nodes, and other nodes synchronously obtain related records through the block chain cluster; the block chain cluster is also used for executing a consensus mechanism, and the authentication of certain operations is completed through the block chain consensus mechanism.
In another embodiment of the method of the present invention, it is described that different channels are established for different private clouds, and data interaction is performed with a public cloud in an MQ communication manner, where the interaction process is as follows:
utilizing the private cloud to acquire enterprise data, preprocessing and classifying the enterprise data to acquire tax data and other related data, carrying out standardized processing on the tax data and other related data to generate different indexes for measuring enterprise credit,
different indexes of enterprise data and enterprise credit are sent to the public cloud by the private cloud through an MQ communication mode,
the public cloud is used for carrying out enterprise credit calculation evaluation, the enterprise credit evaluation sharing is realized through a block chain consensus mechanism, and the block chain cluster is deployed in the public cloud and can provide functions of CA certificate management, enterprise credit evaluation report preview, report downloading, chain code and channel management and the like.
The internal and external networks of the embodiment adopt MQ communication, so that the isolation of the internal and external networks is ensured, the risk of data leakage in the processing, processing and transmission processes is overcome, the enterprise privacy is better protected, and the enterprise service is realized.
In addition, in another embodiment of the method, the prompt can utilize the establishment of a Web end unified access website to realize the unified access, provide an OAtho2.0 user unified authorization interface, acquire the enterprise authorization data authority, and visually output the credit analysis result through an Echarts diagram.
Meanwhile, the invention also provides an enterprise credit evaluation system based on the block chain and the tax data, which comprises a credit information acquisition module, a credit scoring module and a block chain cluster module,
the credit information collection module collects enterprise data using a private cloud,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the credit scoring module utilizes public cloud to obtain indexes which have large influence on enterprise credit by a PCA extraction method, and carries out calculation and evaluation on the enterprise credit by a Bayesian classification algorithm,
the block chain cluster module deploys a block chain cluster by utilizing a public cloud, sets enterprise data service nodes, carries out chaining operation on enterprise data and an enterprise credit evaluation result, and realizes enterprise credit evaluation sharing through a block chain consensus mechanism.
In one embodiment of the system, the block chain cluster module enables a block chain cluster to be used for storing enterprise credit evaluation information, wherein the enterprise credit evaluation information comprises a unique Identity (ID) of an enterprise, an enterprise signature and encrypted enterprise credit information, the block chain cluster is also used for providing block chain service, a plurality of enterprise data service nodes are further arranged in the block chain cluster, operators of all the nodes can complete creation and modification of enterprise data through the enterprise data service nodes, and other nodes synchronously obtain related records through the block chain cluster; the block chain cluster is also used for executing a consensus mechanism, and the authentication of certain operations is completed through the block chain consensus mechanism.
In another embodiment of the system of the present invention, it is described that different channels are established for different private cloud credit information acquisition modules, and data interaction is performed with a public cloud through an MQ communication manner, where the interaction process is as follows:
the credit information acquisition module acquires enterprise data by using the private cloud, preprocesses and classifies the enterprise data to acquire tax data and other related data, standardizes the tax data and the other related data to generate different indexes for measuring enterprise credit,
different indexes of enterprise data and enterprise credit are sent to the public cloud by the private cloud through an MQ communication mode,
the credit scoring module utilizes the public cloud to perform enterprise credit calculation evaluation, and realizes enterprise credit evaluation sharing through a block chain consensus mechanism, and the block chain cluster module can provide functions of CA certificate management, enterprise credit evaluation report preview, report downloading, chain code and channel management and the like to the outside through being deployed in a block chain cluster of the public cloud.
The internal and external networks of the embodiment adopt MQ communication, so that the isolation of the internal and external networks is ensured, the risk of data leakage in the processing, processing and transmission processes is overcome, the enterprise privacy is better protected, and the enterprise service is realized.
In addition, in another embodiment of the system, the prompt can utilize the establishment of a Web-side unified access website to realize the unified access, provide an oAtho2.0 user unified authorization interface, acquire the enterprise authorization data authority, and visually output the credit analysis result through an Echarts diagram.
The invention also provides an enterprise credit evaluation device based on the block chain and the tax data, which comprises at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor is used for calling the machine readable program to execute the block chain and tax data-based enterprise credit assessment method.
A computer readable medium having stored thereon computer instructions, which when executed by a processor, cause the processor to perform the method for enterprise credit assessment based on blockchain and tax data.
Specifically, a system or an apparatus equipped with a storage medium on which software program codes that realize the functions of any of the above-described embodiments are stored may be provided, and a computer (or a CPU or MPU) of the system or the apparatus is caused to read out and execute the program codes stored in the storage medium.
In this case, the program code itself read from the storage medium can realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.
Examples of the storage medium for supplying the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer via a communications network.
Further, it should be clear that the functions of any one of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform a part or all of the actual operations based on instructions of the program code.
Further, it is to be understood that the program code read out from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion unit connected to the computer, and then causes a CPU or the like mounted on the expansion board or the expansion unit to perform part or all of the actual operations based on instructions of the program code, thereby realizing the functions of any of the above-described embodiments.
It should be noted that not all steps and modules in the above flows and system structures are necessary, and some steps or modules may be omitted according to actual needs. The execution order of the steps is not fixed and can be adjusted as required. The system structure described in the above embodiments may be a physical structure or a logical structure, that is, some modules may be implemented by the same physical entity, or some modules may be implemented by a plurality of physical entities, or some components in a plurality of independent devices may be implemented together.
In the above embodiments, the hardware unit may be implemented mechanically or electrically. For example, a hardware element may comprise permanently dedicated circuitry or logic (such as a dedicated processor, FPGA or ASIC) to perform the corresponding operations. The hardware elements may also comprise programmable logic or circuitry, such as a general purpose processor or other programmable processor, that may be temporarily configured by software to perform the corresponding operations. The specific implementation (mechanical, or dedicated permanent, or temporarily set) may be determined based on cost and time considerations.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (8)
1. An enterprise credit assessment method based on block chains and tax data is characterized in that a private cloud is used for collecting enterprise data,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the public cloud is used for obtaining indexes which have large influence on the enterprise credit by a PCA extraction method, the enterprise credit is calculated and evaluated by a Bayesian classification algorithm,
and deploying the block chain cluster by utilizing the public cloud, setting enterprise data service nodes, carrying out chain linking operation on enterprise data and an enterprise credit evaluation result, and realizing enterprise credit evaluation sharing through a block chain consensus mechanism.
2. The enterprise credit assessment method according to claim 1, wherein different channels are established for different private clouds to interact with public clouds by way of MQ communication.
3. The enterprise credit assessment method of claim 2 wherein the process is:
utilizing the private cloud to acquire enterprise data, preprocessing and classifying the enterprise data to acquire tax data and other related data, carrying out standardized processing on the tax data and other related data to generate different indexes for measuring enterprise credit,
different indexes of enterprise data and enterprise credit are sent to the public cloud by the private cloud through an MQ communication mode,
and (4) utilizing the public cloud to carry out enterprise credit calculation evaluation, and realizing enterprise credit evaluation sharing through a block chain consensus mechanism.
4. An enterprise credit evaluation system based on block chains and tax data is characterized by comprising a credit information acquisition module, a credit scoring module and a block chain cluster module,
the credit information collection module collects enterprise data using a private cloud,
preprocessing the enterprise data, classifying tax data and other related data,
the classified tax data and other related data are processed in a standardized way to generate different indexes for measuring the credit of the enterprise,
the credit scoring module utilizes public cloud to obtain indexes which have large influence on enterprise credit by a PCA extraction method, and carries out calculation and evaluation on the enterprise credit by a Bayesian classification algorithm,
the block chain cluster module deploys a block chain cluster by utilizing a public cloud, sets enterprise data service nodes, carries out chaining operation on enterprise data and an enterprise credit evaluation result, and realizes enterprise credit evaluation sharing through a block chain consensus mechanism.
5. The enterprise credit evaluation system of claim 4, wherein the credit information collection module establishes different channels to enable different private clouds to interact with public clouds via MQ communication.
6. The enterprise credit rating system of claim 4 or 5, wherein a Web site is established, unified access is realized, and the enterprise credit rating result is visually output.
7. An enterprise credit assessment device based on a block chain and tax data is characterized by comprising at least one memory and at least one processor;
the at least one memory to store a machine readable program;
the at least one processor, configured to invoke the machine readable program to perform the method for enterprise credit assessment based on blockchain and tax data of any of claims 1 to 3.
8. Computer readable media having stored thereon computer instructions which, when executed by a processor, cause the processor to perform a method of enterprise credit assessment based on blockchain and tax data according to any one of claims 1 to 3.
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