CN113674081A - Graph database-based wind control management system and method for small and medium-sized enterprises - Google Patents
Graph database-based wind control management system and method for small and medium-sized enterprises Download PDFInfo
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Abstract
The invention provides a wind control management system and method for medium and small enterprises based on a graph database, wherein the system comprises the following steps: the data interface unit is used for butting multidimensional external data; the index extraction unit is used for extracting the obtained data according to a preset wind control standard to obtain a wind control index; the first processing unit is used for carrying out initial assignment on each obtained wind control index to obtain an index matrix and calculating to obtain a weight distribution matrix; the second processing unit is used for respectively establishing an evaluation set for each wind control index and assigning values to obtain a corresponding evaluation matrix and calculating to obtain an evaluation result matrix; the third processing unit is used for combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set; a graph data unit for constructing a graph database according to the data obtained by each unit; the wind control unit is used for transmitting the enterprise data to be evaluated to the graph database for processing; the effect is as follows: and (4) constructing an accurate and objective credit risk evaluation system for small and medium enterprises, and reducing corresponding financial risks.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a wind control management system and method for medium and small enterprises based on a graph database.
Background
With the development of market economy, non-public economy contributes more and more important force in the social economy development, which is mainly reflected in the number of small and medium-sized enterprises. The small and medium-sized enterprises not only promote the economic growth, but also provide a large number of working posts for a plurality of personnel needing employment.
In the generation and management, in order to enlarge production and management, change equipment and other factors, medium and small enterprises also have corresponding financing requirements, and although in the policy level, the difficulty of financing and loan is encouraged to be reduced, the credit support of banks and financing institutions is difficult to obtain due to the fact that the medium and small enterprises are limited in self strength, imperfect in system, high in credit risk and the like.
Therefore, it is an urgent problem to establish an accurate and objective credit risk evaluation system to reduce the loan risk.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a wind control management system and method for medium and small enterprises based on a graph database so as to establish an accurate and objective credit risk evaluation system.
In a first aspect, a graph database-based wind control management system for small and medium-sized enterprises includes:
the data interface unit is used for butting multidimensional external data so as to obtain enterprise data of each medium-sized and small enterprise; wherein, the data is from various service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard so as to obtain a corresponding wind control index;
a first processing unit to:
performing initial assignment on each obtained wind control index to obtain an index matrix;
calculating a weight distribution matrix of each wind control index according to the index matrix;
a second processing unit to:
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix;
the third processing unit is used for combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set;
a graph data unit for constructing a graph database from the data obtained by each unit; taking each wind control index and elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as the attributes of the corresponding nodes;
and the wind control unit is used for transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
Preferably, the wind control indicators include legal indicators, credit indicators, market indicators, operational indicators, liquidity indicators, and growth indicators.
Preferably, when the graph database is constructed, the node relationship among the small and medium-sized enterprises is also established, and the nodes among the small and medium-sized enterprises which are related to each other are subjected to attribute transmission.
Preferably, the system further establishes a connection with an internet financial institution to obtain a risk assessment of the internet financial institution to the enterprise, optimizes the constructed graph database according to the risk assessment, and updates the initial assignment.
In a second aspect, a graph database-based wind control management method for small and medium-sized enterprises is applied to the graph database-based wind control management system for small and medium-sized enterprises in the first aspect, and includes the following steps:
connecting multidimensional external data to obtain enterprise data of small and medium-sized enterprises; wherein, the data is from various service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard so as to obtain a corresponding wind control index;
performing initial assignment on each obtained wind control index to obtain an index matrix;
calculating a weight distribution matrix of each wind control index according to the index matrix;
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix;
combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set;
constructing a graph database according to the data obtained by each unit; taking each wind control index and elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as the attributes of the corresponding nodes;
and transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
Preferably, when the graph database is constructed, the node relationship among the small and medium-sized enterprises is also established, and the nodes among the small and medium-sized enterprises which are related to each other are subjected to attribute transmission.
Preferably, the method further comprises:
and establishing connection with an internet financial institution so as to obtain risk assessment of the internet financial institution to the enterprise, optimizing the constructed graph database according to the risk assessment, and updating the initial assignment.
According to the technical scheme, the wind control management system and method for the medium and small enterprises based on the graph database provided by the invention have the advantages that enterprise data of each medium and small enterprise are obtained from multiple dimensions, comprehensive wind control indexes are established, corresponding matrix calculation is carried out, the relation between each index and an evaluation set is correlated to obtain a corresponding wind control grade, and the graph database is constructed on the basis of the corresponding wind control grade, so that a set of accurate and objective credit risk evaluation system for the medium and small enterprises is constructed, and corresponding financial risks are reduced.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a structural block diagram of a wind control management system for medium and small enterprises based on a graph database according to an embodiment of the present invention.
Fig. 2 is a flowchart of a wind control management method for small and medium-sized enterprises based on a graph database according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby. It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The first embodiment is as follows:
referring to fig. 1, a wind control management system for medium and small enterprises based on a graph database includes:
the data interface unit is used for butting multidimensional external data so as to obtain enterprise data of each medium-sized and small enterprise; wherein, the data is from various service systems;
specifically, the multiple dimensions include basic information of an enterprise, important attention information, enterprise development, data interpretation, news information and the like; the basic information comprises business information, stockholder information, stock control enterprises, enterprise annual newspapers and the like; the key attention information comprises official documents, court announcements, scheme information and the like; others are not listed one by one.
And the index extraction unit is used for extracting the obtained data according to a preset wind control standard so as to obtain a corresponding wind control index.
Specifically, because data is numerous and complicated, an accurate and comprehensive wind control standard needs to be established for this purpose; in this embodiment, the wind control indexes include a legal index, a credit index, a market index, an operation index, a liquidity index, and a growth index; therefore, the multi-angle and all-around objective evaluation is carried out on the small and medium enterprises.
A first processing unit to:
performing initial assignment on each obtained wind control index to obtain an index matrix;
and calculating a weight distribution matrix of each wind control index according to the index matrix.
Specifically, the initial assignment indicates the importance degree of each wind control index, and for example, a scaling method can be adopted for processing; and then calculating corresponding eigenvalue and eigenvector according to each index matrix, and finally performing corresponding normalization processing.
A second processing unit to:
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
and calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix.
Specifically, in this embodiment, the evaluation set includes a low risk, a medium risk, a higher risk, and a high risk; it should be noted that each wind control index corresponds to a specific judgment factor, and each judgment factor is assigned correspondingly to obtain an evaluation matrix corresponding to each wind control index; taking legal indexes as examples, including contract risks, case risks, loan risks and intellectual property risks; then, assigning a contract risk value of 0.1, a case risk value of 0.2, a loan risk value of 0.3 and an intellectual property risk value of 0.4, and further establishing an evaluation result matrix corresponding to the legal indexes; other similar principles can be obtained, and are not described herein again;
and then calculating by using a fuzzy matrix calculation formula.
And the third processing unit is used for combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set.
Specifically, in this embodiment, the obtained two matrices are multiplied by each other to obtain a corresponding risk vector set, and according to the magnitude value of each vector, the wind control level of the corresponding index can be obtained.
A graph data unit for constructing a graph database from the data obtained by each unit; and taking each wind control index and the elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, the evaluation result and the risk vector as the attributes of the corresponding nodes.
Specifically, through the processing of the aforementioned units, the relationship between each risk index and the evaluation set is established, and then based on this, the required graph database is established.
And the wind control unit is used for transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
Specifically, the transmission mode may be a front-end transmission mode, which is only an example and is not limited herein; the evaluation results include evaluations of multiple dimensions, including, for the purposes of the present application, corresponding legal index evaluations, credit index evaluations, market index evaluations, operation index evaluations, liquidity index evaluations, and growth index evaluations.
In another embodiment, on the basis of the scheme, according to the obtained data, namely, the specific evaluation conditions of at least some small and medium-sized enterprises are known, the linear regression model is reversely utilized to calculate the correlation probability, so that the probability that each wind control index accords with the wind control management is obtained, and the graph database can be established more accurately.
Meanwhile, in the application process, the graph database is updated according to the obtained third party evaluation result; further, the system also establishes connection with an internet financial institution so as to obtain risk assessment of the internet financial institution to enterprises, optimizes the constructed graph database according to the risk assessment, and updates the initial assignment; thereby improving the autonomy and the intellectualization level.
According to the scheme, enterprise data of each small and medium-sized enterprise is obtained from multiple dimensions, comprehensive wind control indexes are established, corresponding matrix calculation is performed, the relation between each index and an evaluation set is correlated to obtain corresponding wind control grades, and a graph database is established on the basis of the corresponding wind control grades, so that a set of accurate and objective credit risk evaluation system for the small and medium-sized enterprises is established, and corresponding financial risks are reduced.
Further, in order to better and accurately evaluate the medium and small enterprises, when the graph database is constructed, the node relation among the medium and small enterprises is also established, and the nodes among the medium and small enterprises which are mutually related are subjected to attribute transfer.
By processing in this way, the relationship among the entities can be enriched, and the small and medium-sized enterprises with the upper and lower level association can conduct corresponding risks and evaluate with reference to each other; for example, the enterprise a does not search corresponding information in the graph database, but the shareholder information and the stock-holding enterprise have related enterprise B, thereby indirectly realizing evaluation processing of the enterprise a.
Example two:
based on the same inventive concept, referring to fig. 2, a small and medium-sized enterprise wind control management method based on a graph database is applied to the small and medium-sized enterprise wind control management system based on the graph database, and comprises the following steps:
s101, multi-dimensional external data are connected in a butt joint mode to obtain enterprise data of each medium-sized and small enterprise; wherein the data originates from a plurality of business systems;
s102, extracting the obtained data according to a preset wind control standard to obtain a corresponding wind control index;
s103, performing initial assignment on each obtained wind control index to obtain an index matrix;
s104, calculating a weight distribution matrix of each wind control index according to the index matrix;
s105, respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
s106, calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix;
s107, combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set;
s108, constructing a graph database according to the data obtained by each unit; taking each wind control index and elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as the attributes of the corresponding nodes;
and S109, transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
When the graph database is constructed, the node relation among the small and medium-sized enterprises is also established, and the nodes among the small and medium-sized enterprises which are related to each other are subjected to attribute transmission.
Further, the method further comprises:
and establishing connection with an internet financial institution so as to obtain risk assessment of the internet financial institution to the enterprise, optimizing the constructed graph database according to the risk assessment, and updating the initial assignment.
It should be noted that, for the sake of brief description, the method provided by the embodiment of the present invention may refer to the corresponding content in the foregoing system embodiment, where the embodiment is not mentioned in part.
According to the scheme, a set of accurate and objective credit risk evaluation system for small and medium enterprises is constructed by establishing comprehensive wind control indexes, then performing corresponding matrix calculation, correlating the relation between each index and the evaluation set to obtain corresponding wind control grades, and constructing a graph database on the basis of the corresponding wind control grades, so that corresponding financial risks are reduced.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (7)
1. A wind control management system for medium and small enterprises based on graph database is characterized by comprising:
the data interface unit is used for butting multidimensional external data so as to obtain enterprise data of each medium-sized and small enterprise; wherein, the data is from various service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard so as to obtain a corresponding wind control index;
a first processing unit to:
performing initial assignment on each obtained wind control index to obtain an index matrix;
calculating a weight distribution matrix of each wind control index according to the index matrix;
a second processing unit to:
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix;
the third processing unit is used for combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set;
a graph data unit for constructing a graph database from the data obtained by each unit; taking each wind control index and elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as the attributes of the corresponding nodes;
and the wind control unit is used for transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
2. The system according to claim 1, wherein the wind control indexes include legal indexes, credit indexes, market indexes, operation indexes, liquidity indexes and growth indexes.
3. The system according to claim 1, wherein when the graph database is constructed, a node relationship between the medium and small enterprises is further established, and the nodes between the medium and small enterprises which are related to each other are subjected to attribute transfer.
4. The system according to claim 1, wherein the system further establishes a connection with an internet financial institution to obtain risk assessment of the internet financial institution to the enterprise, optimizes the constructed graph database according to the risk assessment, and updates the initial assignment.
5. A wind control management method for medium and small enterprises based on graph database is applied to the wind control management system for medium and small enterprises based on graph database as claimed in claim 1, and comprises the following steps:
connecting multidimensional external data to obtain enterprise data of small and medium-sized enterprises; wherein, the data is from various service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard so as to obtain a corresponding wind control index;
performing initial assignment on each obtained wind control index to obtain an index matrix;
calculating a weight distribution matrix of each wind control index according to the index matrix;
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index;
calculating an evaluation result matrix corresponding to each wind control index according to the evaluation matrix;
combining the weight distribution matrix and the evaluation result matrix to obtain a risk vector set of the wind control indexes relative to the evaluation set;
constructing a graph database according to the data obtained by each unit; taking each wind control index and elements in the evaluation set as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as the attributes of the corresponding nodes;
and transmitting the enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
6. The graph database-based wind control management method for medium and small enterprises as claimed in claim 5, wherein when the graph database is constructed, node relationships among the medium and small enterprises are established, and the nodes among the medium and small enterprises which are related to each other are subjected to attribute transfer.
7. The graph database-based wind control management method for small and medium-sized enterprises according to claim 5, wherein the method further comprises:
and establishing connection with an internet financial institution so as to obtain risk assessment of the internet financial institution to the enterprise, optimizing the constructed graph database according to the risk assessment, and updating the initial assignment.
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| CN114969651A (en) * | 2022-07-28 | 2022-08-30 | 成都乐超人科技有限公司 | Intelligent wind control system construction method and device based on big data AI technology |
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| CN114969651A (en) * | 2022-07-28 | 2022-08-30 | 成都乐超人科技有限公司 | Intelligent wind control system construction method and device based on big data AI technology |
| CN114969651B (en) * | 2022-07-28 | 2022-10-25 | 成都乐超人科技有限公司 | Intelligent wind control system construction method and device based on big data AI technology |
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