CN113674081B - System and method for wind control management of middle and small enterprises based on graph database - Google Patents
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Abstract
The invention provides a small and medium-sized enterprise wind control management system and method based on a graph database, wherein the system comprises: a data interface unit for interfacing the multi-dimensional external data; the index extraction unit is used for extracting the obtained data according to a preset air control standard to obtain an air control index; the first processing unit performs initial assignment on each obtained wind control index to obtain an index matrix and calculates to obtain a weight distribution matrix; the second processing unit is used for respectively establishing and assigning an evaluation set to each wind control index so as 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 enterprise data to be evaluated to the graph database for processing; the effect is that: and an accurate and objective credit risk evaluation system for small and medium enterprises is constructed, and corresponding financial risks are reduced.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a small and medium-sized enterprise wind control management system and method based on a graph database.
Background
The small and medium enterprises not only promote the increase of economy, but also provide a large number of working posts for a plurality of personnel needing employment.
In the production and management process, in order to expand factors such as production and management, equipment replacement and the like, small and medium enterprises have corresponding financing requirements, and although the difficulty of financing and loan is encouraged to be reduced in policy level, the credit support of banks and financing institutions is difficult to obtain due to limited strength, imperfect system, higher credit risk and the like of the small and medium enterprises.
Therefore, establishing an accurate and objective credit risk evaluation system to reduce the risk of loans is a problem to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a small and medium-sized enterprise wind control management system and method based on a graph database so as to establish an accurate and objective credit risk evaluation system.
In a first aspect, a small and medium-sized enterprise wind control management system based on a graph database includes:
the data interface unit is used for interfacing with multi-dimensional external data to obtain enterprise data of each small and medium-sized enterprise; wherein the data originates from a plurality of service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard to obtain a corresponding wind control index;
a first processing unit for:
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 for:
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 index relative to the evaluation set;
a graph data unit for constructing a graph database based on the data obtained by the units; the method comprises the steps of taking elements in all wind control indexes and evaluation sets as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as attributes of 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 index includes legal index, credit index, market index, operation index, fluidity index and growth index.
Preferably, when the graph database is built, node relations among the small and medium enterprises are also built, and the nodes among the small and medium enterprises which are mutually related are subjected to attribute transfer.
Preferably, the system further establishes a connection with an internet financial institution to obtain a risk assessment of the enterprise by the internet financial institution, optimizes the constructed graph database according to the risk assessment, and updates the initial assignment described above.
In a second aspect, a method for managing wind control of a small and medium-sized enterprise based on a graph database is applied to the wind control management system of a small and medium-sized enterprise based on a graph database in the first aspect, and the method comprises the following steps:
docking the multi-dimensional external data to obtain enterprise data of each small and medium enterprises; wherein the data originates from a plurality of service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard 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 index relative to the evaluation set;
constructing a graph database according to the data obtained by each unit; the method comprises the steps of taking elements in all wind control indexes and evaluation sets as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as attributes of corresponding nodes;
and transmitting enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
Preferably, when the graph database is built, node relations among the small and medium enterprises are also built, and the nodes among the small and medium enterprises which are mutually related are subjected to attribute transfer.
Preferably, the method further comprises:
establishing a connection with an internet financial institution, thereby acquiring risk assessment of the enterprise by the internet financial institution, optimizing a constructed graph database according to the risk assessment, and updating the initial assignment.
According to the technical scheme, the small and medium-sized enterprises wind control management system and method based on the graph database provided by the invention are characterized in that enterprise data of each small and medium-sized enterprise is acquired from multiple dimensions, comprehensive wind control indexes are established, then corresponding matrix calculation is carried out, the relation between each index and an evaluation set is associated, the corresponding wind control grade is obtained, and the graph database is constructed on the basis, so that a set of accurate and objective credit risk evaluation system of the small and medium-sized enterprises is constructed, and the corresponding financial risk is further reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
Fig. 1 is a block diagram of a wind control management system for small and medium enterprises based on a graph database according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for managing wind control of a small and medium-sized enterprise based on a graph database according to an embodiment of the present invention.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention. It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.
It should be understood that the terms "comprises" and "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 this specification 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 as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Embodiment one:
referring to fig. 1, a small and medium-sized enterprise wind control management system based on a graph database includes:
the data interface unit is used for interfacing with multi-dimensional external data to obtain enterprise data of each small and medium-sized enterprise; wherein the data originates from a plurality of service systems;
specifically, the dimensions include basic information of enterprises, and focus on information, enterprise development, data interpretation, news information and the like; wherein, the basic information comprises business information, stakeholder information, indicting enterprises, enterprise annual reports and the like; the important attention information comprises judge documents, court notices, case setting information and the like; the 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 of the complexity of the data, an accurate and comprehensive wind control standard needs to be constructed for the data; in this embodiment, the wind control indicators include legal indicators, credit indicators, market indicators, operation indicators, fluidity indicators, and growth indicators; thereby carrying out multi-angle and all-dimensional objective evaluation on middle and small enterprises.
A first processing unit for:
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, for example, the initial assignment can be processed by a scale method; and then calculating corresponding characteristic values and characteristic vectors according to each index matrix, and finally carrying out corresponding normalization processing.
A second processing unit for:
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 the present embodiment, the evaluation set includes low risk, medium risk, higher risk, and high risk; it should be noted that, each wind control index corresponds to a specific judgment factor, and each judgment factor is assigned accordingly to obtain an evaluation matrix corresponding to each wind control index; taking legal indexes as examples, including contract risks, case risks, lending risks and intellectual property risks; then, assigning a contract risk of 0.1, a case risk of 0.2, a lending risk of 0.3 and an intellectual property risk of 0.4, and further establishing an evaluation result matrix corresponding to legal indexes; other theories are available and will not be described in detail herein;
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 index relative to the evaluation set.
Specifically, in this embodiment, the obtained two matrices are multiplied 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 based on the data obtained by the units; the wind control indexes and elements in the evaluation set are taken as nodes, the relation among the nodes is taken as edges, and the generated weight, the evaluation result and the risk vector are taken as attributes of the corresponding nodes.
Specifically, through the processing of the foregoing units, the relationship between each risk index and the evaluation set is established, and then, on the basis of this, a desired 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 used as an example and is not limited thereto; the evaluation results include multiple dimensional evaluations, including, for purposes of this application, corresponding legal index evaluations, credit index evaluations, market index evaluations, operation index evaluations, fluidity index evaluations, and growth index evaluations.
In another embodiment, on the basis of the above scheme, according to the obtained data, that is, at least knowing specific evaluation conditions of some small and medium enterprises, a linear regression model is reversely utilized to calculate the relevant probability, so as to obtain the probability that each wind control index accords with wind control management, thereby being beneficial to more accurately establishing the graph database.
Meanwhile, in the application process, the graph database is updated according to the acquired third party evaluation result; further, the system establishes a connection with an internet financial institution, thereby acquiring a risk assessment of the enterprise by the internet financial institution, optimizing the constructed graph database according to the risk assessment, and updating the initial assignment; thereby improving the autonomy and the intelligence level.
According to the scheme, the enterprise data of each small and medium enterprise is acquired from multiple dimensions, the comprehensive wind control index is established, then corresponding matrix calculation is carried out, the relation between each index and the evaluation set is associated, the corresponding wind control grade is obtained, the graph database is constructed on the basis of the wind control grade, and therefore a set of accurate and objective credit risk evaluation system for the small and medium enterprises is constructed, and corresponding financial risks are reduced.
Further, for better accurate evaluation of the middle and small enterprises, when the graph database is built, the node relation among the middle and small enterprises is built, and the nodes among the middle and small enterprises which are mutually related are subjected to attribute transfer.
By the processing, the relationship between the entities can be enriched, and the middle and small enterprises with the upper and lower level association can conduct corresponding risks and evaluate the risks with reference to each other; for example, the enterprise A does not search the corresponding information in the graph database, but the stockholder information and the indirection enterprise of the enterprise A have the associated enterprise B, so that the evaluation processing of the enterprise A is indirectly realized.
Embodiment two:
based on the same inventive concept, referring to fig. 2, a method for managing wind control of a small and medium-sized enterprise based on a graph database is applied to a system for managing wind control of a small and medium-sized enterprise based on a graph database, which comprises the following steps:
s101, butting multi-dimensional external data to obtain enterprise data of each small and medium 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 index relative to the evaluation set;
s108, constructing a graph database according to the data obtained by each unit; the method comprises the steps of taking elements in all wind control indexes and evaluation sets as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as attributes of corresponding nodes;
and S109, transmitting enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
When the graph database is built, node relations among the small and medium enterprises are also built, and the nodes among the small and medium enterprises which are related to each other are subjected to attribute transfer.
Further, the method further comprises:
establishing a connection with an internet financial institution, thereby acquiring risk assessment of the enterprise by the internet financial institution, optimizing a constructed graph database according to the risk assessment, and updating the initial assignment.
It should be noted that, for a brief description, the method provided by the embodiment of the present invention, where the embodiment section is not mentioned, reference may be made to the corresponding content in the foregoing system embodiment.
Through the scheme, the comprehensive wind control indexes are established, then corresponding matrix calculation is carried out, the relations between the indexes and the evaluation sets are associated, the corresponding wind control grade is obtained, the graph database is constructed on the basis, and therefore a set of accurate and objective credit risk evaluation system for small and medium enterprises is constructed, and corresponding financial risks are reduced.
In the several embodiments provided in this application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (6)
1. A small and medium-sized enterprise wind control management system based on a graph database, which is characterized by comprising:
the data interface unit is used for interfacing with multi-dimensional external data to obtain enterprise data of each small and medium-sized enterprise; wherein the data originates from a plurality of service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard to obtain a corresponding wind control index; the wind control indexes comprise legal indexes, credit indexes, market indexes, operation indexes, fluidity indexes and growth indexes;
a first processing unit for:
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 for:
respectively establishing an evaluation set for each wind control index and assigning values to obtain an evaluation matrix corresponding to each wind control index; 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;
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 index relative to the evaluation set;
a graph data unit for constructing a graph database based on the data obtained by the units; the method comprises the steps of taking elements in all wind control indexes and evaluation sets as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as attributes of 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 small and medium-sized enterprises wind control management system based on the graph database according to claim 1, wherein when the graph database is built, node relations among the small and medium-sized enterprises are also built, and the nodes among the small and medium-sized enterprises which are related to each other are subjected to attribute transfer.
3. A small and medium business wind control management system based on graph database according to claim 1, wherein the system further establishes a connection with an internet financial institution to obtain a risk assessment of the business by the internet financial institution, optimizes the constructed graph database based on the risk assessment, and updates the initial assignment.
4. The method for managing the wind control of the medium and small enterprises based on the graph database is characterized by being applied to the medium and small enterprise wind control management system based on the graph database, and comprises the following steps:
docking the multi-dimensional external data to obtain enterprise data of each small and medium enterprises; wherein the data originates from a plurality of service systems;
the index extraction unit is used for extracting the obtained data according to a preset wind control standard 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; 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;
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 index relative to the evaluation set;
constructing a graph database according to the data obtained by each unit; the method comprises the steps of taking elements in all wind control indexes and evaluation sets as nodes, taking the relation between the nodes as edges, and taking the generated weight, evaluation result and risk vector as attributes of corresponding nodes;
and transmitting enterprise data to be evaluated to the graph database for processing so as to output an evaluation result.
5. The method for managing wind control of small and medium enterprises based on the graph database according to claim 4, wherein when the graph database is built, the node relation among the small and medium enterprises is also built, and the nodes among the small and medium enterprises which are related to each other are subjected to attribute transfer.
6. The graph database-based small and medium business wind control management method according to claim 5, wherein the method further comprises:
establishing a connection with an internet financial institution, thereby acquiring risk assessment of the enterprise by the internet financial institution, optimizing a constructed graph database according to the risk assessment, and updating the initial assignment.
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