CN114021898A - System for identifying risk level of overseas cooperative enterprise - Google Patents

System for identifying risk level of overseas cooperative enterprise Download PDF

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CN114021898A
CN114021898A CN202111192110.9A CN202111192110A CN114021898A CN 114021898 A CN114021898 A CN 114021898A CN 202111192110 A CN202111192110 A CN 202111192110A CN 114021898 A CN114021898 A CN 114021898A
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data
enterprise
risk level
identifying
overseas
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沈宏颖
韩世蛟
蒋巧兰
聂敏
杨磊
邓辉
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Chengdu Xun Dao Shu Cai Technology Co ltd
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Chengdu Xun Dao Shu Cai Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides a system for identifying risk levels of an overseas cooperative enterprise, which comprises the following modules: the data collection module is used for acquiring enterprise related information data regularly through a data extraction tool; the data cleaning and converting module is used for converting various information of the out-of-school enterprises into multi-dimensional data characteristics capable of being quantitatively calculated and storing the characteristics in a characteristic library; and an enterprise risk level index calculation module. The system for identifying the risk level of the overseas cooperative enterprise has the following advantages: the system for quantitatively analyzing and automatically updating the risk coefficients of the illegal behaviors of different types of overseas enterprises in the economic activities of colleges and universities is provided, and the problem that the subjective judgment of the low-efficiency evaluation and identification is greatly influenced can be well solved.

Description

System for identifying risk level of overseas cooperative enterprise
Technical Field
The invention particularly relates to a system for identifying risk levels of an overseas cooperative enterprise.
Background
In the management work of colleges and universities, the identification work of risk levels of overseas cooperative enterprises is very important, but at present, a system with the function is not provided, evaluation and identification are considered in most of the time, the mode is low in efficiency, and the influence of subjective judgment of evaluation and identification is large, so that the system for identifying the risk levels of the overseas cooperative enterprises is provided to solve the problem.
Disclosure of Invention
The invention aims to provide a system for identifying risk levels of an overseas cooperative enterprise, aiming at the defects of the prior art, and the system for identifying the risk levels of the overseas cooperative enterprise can well solve the problems.
In order to meet the requirements, the technical scheme adopted by the invention is as follows: the system for identifying the risk level of the overseas cooperative enterprise comprises the following modules: the data collection module is used for acquiring enterprise related information data regularly through a data extraction tool; the data cleaning and converting module is used for converting various information of the out-of-school enterprises into multi-dimensional data characteristics capable of being quantitatively calculated and storing the characteristics in a characteristic library; and an enterprise risk level index calculation module.
The system for identifying the risk level of the overseas cooperative enterprise has the following advantages:
the system for quantitatively analyzing and automatically updating the risk coefficients of the illegal behaviors of different types of overseas enterprises in the economic activities of colleges and universities is provided, and the problem that the subjective judgment of the low-efficiency evaluation and identification is greatly influenced can be well solved.
Drawings
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 schematically illustrates a block diagram of a system for identifying a risk level of an overseas collaborative enterprise according to one embodiment of the present application.
Fig. 2 schematically illustrates a data flow diagram of a system for identifying risk levels of an offsite collaborative enterprise according to one embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings and specific embodiments.
In the following description, references to "one embodiment," "an embodiment," "one example," "an example," etc., indicate that the embodiment or example so described may include a particular feature, structure, characteristic, property, element, or limitation, but every embodiment or example does not necessarily include the particular feature, structure, characteristic, property, element, or limitation. Moreover, repeated use of the phrase "in accordance with an embodiment of the present application" although it may possibly refer to the same embodiment, does not necessarily refer to the same embodiment.
Certain features that are well known to those skilled in the art have been omitted from the following description for the sake of simplicity.
According to an embodiment of the present application, there is provided a system for identifying risk levels of an overseas cooperative enterprise, as shown in fig. 1-2, including the following modules:
the data collection module is used for regularly acquiring enterprise related information data through a data extraction tool (such as a button and python), wherein the specific data comprises the following data: synchronizing third-party financial system data, wherein the system database is a relational database oracel, providing a view of financial voucher data and college internal control basic data for the system, and periodically migrating the required data to the relational database of the system through data extraction software; synchronously searching enterprise data through the sky eye, and regularly acquiring and updating data such as enterprise basic information, scale information, penalty information and the like in a database of the system through a purchased data interface; and crawling government procurement information platform data which is government regularly updated information record data of government procurement serious illegal distrust information published to the society. Periodically crawling the list data and updating historical data stored in the coefficient through a python crawler script; the process of migrating the third-party data to the system needs to be stored in a data warehouse of the system according to a preset data dictionary, and the collected external data can be used for application of a following module.
The data cleaning and converting module mainly converts various information of enterprises (called as out-of-school enterprises for short) with economic activities in colleges and universities into multi-dimensional data characteristics capable of being quantitatively calculated and stores the characteristics in a characteristic library, and comprises the following sub-modules: and the qualitative variable feature conversion module is used for storing and updating the feature dictionary table and storing the converted feature values in the feature library, for example, whether the extra-school enterprise is a small and micro enterprise or not is processed, and the small and micro enterprise field micro of the feature dictionary table can be updated (if not: { "is": 1, "no": 0, the micro field value of the small micro enterprise of the offsite enterprise in the enterprise characteristic table can be 1 or 0; the quantitative variable characteristic conversion module automatically selects the box separation treatment (box separation intervals need to be predefined) or performs logarithmic transformation compression according to the range distribution of the values of the characteristic fields, for example, the characteristics of 'enterprise personnel scale' are correspondingly converted into 1, 2, 3 and 4 according to the intervals of [1,50 ], [50,100 ], [100,500) and more than 500; the enterprise registration fund 1200 ten thousand adopts logarithmic compression, because the general registration fund is in ten thousand units, ten thousand are firstly abandoned, and then the logarithm log with the base number of 10 is taken101200 ≈ 3.08; the early-warning data feature extraction module is used for extracting features of early-warning historical data, counting the number of early warnings of each early-warning rule in a specific time period, and processing the early-warning data through the S2.2 module.
An enterprise risk level index calculation module:
the specific calculation of the enterprise risk rating index is as follows:
the relevancy index reflects the relevancy of the enterprises in the economic activities of the colleges and universities and reflects certain connection among the enterprises;
calculating node degree d according to transaction certificate data by adopting graph network algorithmiWherein the node i is an enterprise participating in the transaction, and the weight w of the edge between the nodesijThe number of times that the node i and the node j appear in the same certificate or the same item is given.
Correlation index formula Ir,i＝log10di；
Calculating a numerical value by using a linear equation consisting of the operation stability index and the characteristics of the out-of-school enterprises;
the participated characteristics of the overseas enterprise comprise the scale, the establishment age, the performance, the operation state, the punishment and the like of the enterprise, and a characteristic matrix X is formed;
operation stability index formula IswX; wherein w is a weight coefficient matrix, the characteristic coefficient with positive influence takes a positive value, and the negative influence takes a negative value;
the abnormal transaction participation index reflects the condition that the extraschool enterprise is early warned as abnormal transaction in the participating economic activities in the colleges and universities;
the characteristics of the participating out-of-school enterprises comprise historical early warning data such as associated transactions, avoidance contracts, virtual row expenditure, high-frequency transactions and the like;
the abnormal trading index formula Iu ═ Σ in wi fi × log10ni + a × m; wherein a is an adjustment coefficient which can be automatically adjusted according to training, and wi is a coefficient of different special early warning rules, for example, the virtual column expenditure (more serious) is 1.0, and the evasive contract (general) is 0.5; if the enterprise outside the school triggers the ith early warning rule, taking a value of 1 corresponding to fi, otherwise, taking a value of 0; ni is the corresponding specific number of triggers;
risk grade indexes, wherein the weights of the indexes are given according to the calculation indexes of S3.3 to form a risk grade calculation formula;
risk rating index formula, Ir, I ═ a × Ir, I + b × Is, I + c × Iu,i；
Calculating I of all enterprises according to historical datar,iAnd taking the place values of 90%, 70% and 50%, and classifying the risk levels into four categories of high risk, medium risk, low risk and no risk.
The above-mentioned embodiments only show some embodiments of the present invention, and the description thereof is more specific and detailed, but should not be construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the claims.

Claims (7)

1. A system for identifying risk levels of an overseas cooperative enterprise comprises the following modules:
the data collection module is used for acquiring enterprise related information data regularly through a data extraction tool;
the data cleaning and converting module is used for converting various information of the out-of-school enterprises into multi-dimensional data characteristics capable of being quantitatively calculated and storing the characteristics in a characteristic library;
and an enterprise risk level index calculation module.
2. The system for identifying a risk level of an overseas cooperative enterprise of claim 1, wherein: the enterprise-related information data specifically includes:
synchronizing third-party financial system data, wherein the system database is a relational database oracel, providing a view of financial voucher data and college internal control basic data for the system, and regularly migrating the required data to the relational database of the system through data extraction software;
synchronously searching enterprise data through the sky eye, and regularly acquiring and updating data such as enterprise basic information, scale information, penalty information and the like in a database of the system through a purchased data interface;
and crawling government purchasing information platform data which is government regularly updated government purchasing serious illegal distrust information recording data published to the society, and regularly crawling the list data and updating historical data stored in the coefficient through a python crawler script.
3. The system for identifying a risk level of an overseas cooperative enterprise of claim 1, wherein: the data cleaning and converting module specifically comprises the following sub-modules:
the qualitative variable feature conversion module is used for storing and updating the feature dictionary table and storing the converted feature values in the feature library;
s2.2, a quantitative variable characteristic conversion module automatically selects box separation processing or logarithmic transformation compression according to the range distribution of the values of the characteristic fields;
and S2.3, the early-warning data feature extraction module is used for extracting features of early-warning historical data, counting the number of early warnings of each early-warning rule in a specific time period, and processing the early-warning historical data through the quantitative variable feature conversion module.
4. The system for identifying a risk level of an overseas cooperative enterprise as recited in claim 1, wherein the enterprise risk level index is calculated by:
Ir,i＝a*Ir,i+b*Is,i+c*Iu,i；
wherein Ir, i is an enterprise risk level index;
a. b and c are weight coefficients;
ir, i is a relevance index;
is, i Is the operational stability index;
iu, i is the abnormal transaction index.
5. The system for identifying a risk level of an overseas cooperative enterprise of claim 4, wherein: the relevance index is calculated as follows:
Ir,i＝log10di；
where di is the degree of the transaction voucher data calculation node.
6. The system for identifying a risk level of an overseas cooperative enterprise of claim 4, wherein: the operation stability index is calculated in the following way:
Is,i＝wX；
wherein w is a weight coefficient matrix;
and X is a characteristic matrix formed by the characteristics of the participating out-of-school enterprises, including the scale, the establishment age, the performance, the operation state and the punishment of the enterprises.
7. The system for identifying a risk level of an overseas cooperative enterprise of claim 4, wherein: the abnormal trading index is calculated as follows:
Iu＝∑in wi fi*log10ni+a*m；
wherein a is an adjustment coefficient;
wicoefficients of different special early warning rules;
niis the corresponding specific number of triggers.
CN202111192110.9A 2021-10-13 2021-10-13 System for identifying risk level of overseas cooperative enterprise Pending CN114021898A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111192110.9A CN114021898A (en) 2021-10-13 2021-10-13 System for identifying risk level of overseas cooperative enterprise

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111192110.9A CN114021898A (en) 2021-10-13 2021-10-13 System for identifying risk level of overseas cooperative enterprise

Publications (1)

Publication Number Publication Date
CN114021898A true CN114021898A (en) 2022-02-08

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Application Number Title Priority Date Filing Date
CN202111192110.9A Pending CN114021898A (en) 2021-10-13 2021-10-13 System for identifying risk level of overseas cooperative enterprise

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