Economic financial risk monitoring and early warning method and system for incubator in science and technology park

Abstract

The invention relates to the technical field of economic and financial risk monitoring and early warning, and discloses a scientific park incubator economic and financial risk monitoring and early warning method and system, and the scientific park incubator economic and financial risk monitoring and early warning system comprises a data preprocessing unit, an analytic hierarchy process unit and a relative importance degree setting unit. According to the economic and financial risk monitoring and early warning system for the incubator in the science and technology park, internal and external enterprise data are gathered through the system, information including legal persons, shareholders, employees, police-related records, case-related records, preceding department records, administrative punishment, complaint-related records, industry risk information and the like is established, an archive information base of enterprises in a development area is established, and the economic and financial risk of the incubator in the science and technology park is monitored in combination with personnel information. On the basis, enterprise risk monitoring and early warning are carried out, research and judgment of crime risks in a new business mode are carried out, and virtual currency-related alarm situations, alarm receiving and handling of cases and case receiving and reporting are timely found and guided to be handled.

Description

Technical Field

[0001] The present invention relates to the technical field of economic and financial risk monitoring and early warning, and in particular to a method and system for monitoring and early warning of economic and financial risks in a science and technology park incubator. Background Art

[0002] Science and technology park incubators, usually referred to as technology business incubators or high-tech entrepreneurship service centers, are technology entrepreneurship service organizations whose purpose is to promote the transformation of scientific and technological achievements and cultivate high-tech enterprises and entrepreneurs. Technology business incubators serve technology-based small and medium-sized enterprises, providing incubated enterprises with R&D, pilot production, and operation sites and shared office facilities. They also provide policy, management, legal, financial, financing, marketing, and training services to reduce the entrepreneurial risks and costs of enterprises, improve the survival rate and success rate of enterprises, and cultivate successful technology enterprises and entrepreneurs for society.

[0003] At present, there is no good monitoring and early warning for the illegal and criminal risks of shell companies registered in science and technology park incubators, especially for the current new economic models such as online finance, digital currency, new payment, OTO business model, etc. Therefore, the present invention develops a financial risk monitoring and early warning system with a crime analysis model based on informatization, social information data, capital penetration, and analysis and early warning, so as to strengthen the supervision of new economic crimes from the source. Summary of the invention

[0004] In view of the fact that there is no monitoring of the illegal and criminal risks of shell companies registered in science and technology park incubators, especially the problem of poor monitoring and early warning in response to the current new economic models such as online finance, digital currency, new payment, OTO business model, etc., the present invention is proposed.

[0005] Therefore, the purpose of the present invention is to provide a method for monitoring and early warning of economic and financial risks in a science and technology park incubator, which aims to: gather internal and external enterprise data, establish an archive information database of development zone enterprises including legal persons, shareholders, employees, police-related, case-related, criminal records, administrative penalties, litigation-related, industry risk information, etc., combine personnel information, and on this basis conduct enterprise risk monitoring and early warning, conduct research and judgment on crime risks under new business models, promptly discover and guide the handling of virtual currency-related police incidents, case handling, and report, and at the same time open up virtual currency evidence collection channels, provide virtual currency case fund analysis, identity information tracing and other services, and achieve data collaboration with relevant departments such as the Financial Office.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for monitoring and early warning of economic and financial risks in a science and technology park incubator, comprising:

[0007] S1, you can view the list of enterprises with different risk levels in the page list; through the regional screening function, you can view the risky enterprises in the science park incubator according to the monitoring area classification;

[0008] S2, through the risk dimension screening function, you can view risky enterprises that hit various model dimensions. In addition, you can enter query conditions such as enterprise name, registered address, legal person name, etc. to conduct a refined search for enterprise information;

[0009] S3, click on the enterprise in the monitoring list to enter the enterprise details interface. Search and filter the target enterprise, and the user can click to view the enterprise details. Including basic enterprise information, risk characterization, risk details, case information, penalty information, etc.

[0010] S4, alarm information displays the alarm records of the specified field. Click the "associated" checkbox to view the associated alarm information. You can search again based on the company name, registration unit, and alarm keyword. Click the alarm number to view detailed alarm reception and handling information. The right side of the list can be used to count the number of alarms by new business field classification or alarm classification;

[0011] S5, supports adding related alarms. After unchecking the Related checkbox, you can filter the alarms that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the related alarms.

[0012] S6, the case information list displays case records related to the selected field. Click the "Associated" checkbox to view the associated case information. You can perform a secondary search based on the company name, case filing unit, and case keywords. The number of cases can be counted by new business field classification or case classification on the right side of the list. It supports adding associated cases. After unchecking the "Associated" checkbox, you can filter the cases that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm the addition of the associated case.

[0013] S7, the key enterprise list displays key enterprises related to the selected field. Click the "Associated" checkbox to view the associated key enterprises. You can search again based on the enterprise name keywords. It supports adding key enterprises of different thematic categories. After unchecking the "Associated" checkbox, you can filter the enterprises to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the associated enterprise.

[0014] S8, the key personnel list displays key personnel related to the selected field, and can be searched again based on the personnel's name or ID card.

[0015] As a preferred solution of the present invention, the enterprise in the click monitoring list can intuitively see which risk indicators the enterprise has hit, and what the risk score and risk rating are;

[0016] You can also download the research and assessment report on the company details page, which mainly includes basic company information, company warning information, company risk information, company risk details, company executives and shareholders, company structure diagram, company relationship diagram, research and assessment conclusions and other information.

[0017] As a preferred solution described in the present invention, it includes: a data preprocessing unit, a hierarchical analysis method unit and a relative importance setting unit.

[0018] As a preferred solution described in the present invention, the analytic hierarchy process is a decision-making method that decomposes elements that are always related to decision-making into levels such as goals, criteria, and plans, and conducts qualitative and quantitative analysis on this basis.

[0019] As a preferred solution described in the present invention, the analytic hierarchy process is to decompose the decision-making problem into different hierarchical structures in the order of the overall goal, sub-goals of each level, evaluation criteria and specific alternative plans, and then use the method of solving the eigenvector of the judgment matrix to obtain the priority weight of each element of each level to an element of the previous level, and finally use the weighted sum method to recursively merge the final weights of each alternative plan to the overall goal, and the one with the largest final weight is the optimal plan.

[0020] As a preferred solution described in the present invention, the so-called "priority weight" is a relative measure, which indicates the relative measure of the superiority of each alternative plan under a certain characteristic evaluation criterion or sub-goal, as well as the relative measure of the importance of each sub-goal to the upper-level goal.

[0021] As a preferred solution described in the present invention, the system model algorithm is divided into the steps of establishing a hierarchical model, constructing a judgment matrix, hierarchical single sorting and one-time inspection, and hierarchical total sorting and one-time inspection.

[0022] The beneficial effects of the present invention are as follows: the system is used to gather internal and external enterprise data, establish an archive information database of development zone enterprises including legal persons, shareholders, employees, police-related, case-related, criminal records, administrative penalties, litigation-related, industry risk information, etc., and combine personnel information to conduct enterprise risk monitoring and early warning on this basis, carry out research and judgment of crime risks under new business models, timely discover and guide the handling of virtual currency-related police incidents, the handling of police reports and reports, and at the same time open up virtual currency evidence collection channels, provide virtual currency case fund analysis, identity information tracing and other services, and achieve data collaboration with relevant departments such as the Financial Office, and can also grasp the criminal models of shell companies and registered companies in the OTO business model under the new business environment, and at the same time, analyze and judge the risks of OTO business model companies in real time, and establish a research and judgment mechanism that conforms to local work realities, regularly analyze and judge the situation of OTO business model companies on time, and finally submit a risk classification report to relevant government departments, and cooperate with relevant departments to carry out relevant disposal in advance and give regulatory opinions. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0024] Figure 1 This is a diagram of the new personnel interface of the present invention.

[0025] Figure 2 It is a schematic diagram of the construction process of the present invention.

[0026] Figure 3 It is a relative importance table of the present invention.

[0027] Figure 4 This is the system login diagram of the present invention. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Reference Figure 1-4, as an embodiment of the present invention, provides a method for monitoring and early warning of economic and financial risks of a science and technology park incubator, and the method for monitoring and early warning of economic and financial risks of a science and technology park incubator comprises:

[0031] S1, you can view the list of enterprises with different risk levels in the page list; through the regional screening function, you can view the risky enterprises in the science park incubator according to the monitoring area classification;

[0032] S2, through the risk dimension screening function, you can view risky enterprises that hit various model dimensions. In addition, you can enter query conditions such as enterprise name, registered address, legal person name, etc. to conduct a refined search for enterprise information;

[0033] S3, click on the enterprise in the monitoring list to enter the enterprise details interface. Search and filter the target enterprise, and the user can click to view the enterprise details. Including basic enterprise information, risk characterization, risk details, case information, penalty information, etc.

[0034] S4, alarm information displays the alarm records of the specified field. Click the "associated" checkbox to view the associated alarm information. You can search again based on the company name, registration unit, and alarm keyword. Click the alarm number to view detailed alarm reception and handling information. The right side of the list can be used to count the number of alarms by new business field classification or alarm classification;

[0035] S5, supports adding related alarms. After unchecking the Related checkbox, you can filter the alarms that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the related alarms.

[0036] S6, the case information list displays case records related to the selected field. Click the "Associated" checkbox to view the associated case information. You can perform a secondary search based on the company name, case filing unit, and case keywords. The number of cases can be counted by new business field classification or case classification on the right side of the list. It supports adding associated cases. After unchecking the "Associated" checkbox, you can filter the cases that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm the addition of the associated case.

[0037] S7, the key enterprise list displays key enterprises related to the selected field. Click the "Associated" checkbox to view the associated key enterprises. You can search again based on the enterprise name keywords. It supports adding key enterprises of different thematic categories. After unchecking the "Associated" checkbox, you can filter the enterprises to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the associated enterprise.

[0038] S8, the key personnel list displays key personnel related to the selected field, and can be searched again based on the personnel's name or ID card;

[0039] Reference Figure 1 You can add key personnel by clicking the "Add" button in the upper right corner of the list.

[0040] Enterprises in the transport click monitoring list can intuitively see which risk indicators the enterprise has hit, and what the risk score and risk rating are;

[0041] You can also download the research and assessment report on the company details page, which mainly includes basic company information, company warning information, company risk information, company risk details, company executives and shareholders, company structure diagram, company relationship diagram, research and assessment conclusions and other information.

[0042] A system for monitoring and early warning of economic and financial risks in a science and technology park incubator includes a data preprocessing unit, a hierarchical analysis method unit, and a relative importance setting unit (such as Figure 2 shown).

[0043] The analytic hierarchy process is a decision-making method that decomposes elements that are always related to decision-making into levels such as goals, criteria, and plans, and conducts qualitative and quantitative analysis on this basis.

[0044] The analytic hierarchy process is to decompose the decision problem into different hierarchical structures in the order of overall goal, sub-goals of each level, evaluation criteria and specific alternative plans, and then use the method of solving the eigenvector of the judgment matrix to obtain the priority weight of each element of each level to an element of the previous level, and finally use the weighted sum method to recursively merge the final weight of each alternative plan to the overall goal. The one with the largest final weight is the optimal plan.

[0045] The so-called "priority weight" is a relative measure, which indicates the relative measure of the superiority of each alternative plan under a certain characteristic evaluation criterion or sub-goal, and the relative measure of the importance of each sub-goal to the upper level goal. The hierarchical analysis method is more suitable for the goal system with hierarchical and staggered evaluation indicators, and the decision-making problem whose target value is difficult to describe quantitatively. Its usage is to construct a judgment matrix, find its maximum eigenvalue and its corresponding eigenvector W, and after normalization, it is the relative importance weight of a certain level indicator to the relevant indicator of the upper level.

[0046] The weight of each indicator in the hierarchical analysis method is determined by the "relative importance" between the indicators, and the relative ratio needs to be assigned manually. Through in-depth analysis of the data of each dimension, combined with a large amount of police case data and criminal record data across the city, the relative importance ratio matrix of indicators at each level is determined more scientifically. The relative importance is divided into 9 levels, which represents the degree of influence of the indicator on the superior indicator (or the final result) relative to other indicators. The larger the value, the greater its relative importance. Reference for setting relative importance Figure 3 ;

[0047] The system model algorithm is divided into the following steps: establishing a hierarchical structure model, constructing a judgment matrix, hierarchical single sorting and one-time inspection, and hierarchical total sorting and one-time inspection.

[0048] Step 1: Establish a hierarchical model

[0049] Divide the decision-making goals, factors to be considered (decision-making criteria) and decision-making objects into the highest level, middle level and lowest level according to their mutual relationships, and draw a hierarchical diagram.

[0050] Top level: purpose of decision making, problem to be solved.

[0051] Lowest level: alternative options for decision making.

[0052] Middle layer: factors to be considered and criteria for decision-making.

[0053] For two adjacent layers, the higher layer is called the target layer and the lower layer is called the factor layer.

[0054] Step 2: Construct a judgment matrix

[0055] The method of constructing a judgment matrix in the hierarchical analysis method is the consistent matrix method, that is, not comparing all factors together, but comparing them two by two; at this time, a relative scale is used to minimize the difficulty of comparing factors of different natures to improve accuracy.

[0056] Step 3: Hierarchical single sorting and one-time test

[0057] Corresponding to the maximum characteristic root λ of the judgment matrix max The eigenvector of is normalized (so that the sum of the elements in the vector is 1) and recorded as W. The elements of W are the ranking weights of the relative importance of the elements at the same level to a factor at the previous level. This process is called hierarchical single sorting.

[0058] Consistency Index

[0059] CI = 0, indicating that the two elements have complete consistency;

[0060] The closer the CI is to 0, the higher the consistency;

[0061] The larger the CI, the greater the inconsistency;

[0062] In order to measure the size of CI, the random consistency index RI is introduced;

[0063] Define the consistency ratio: It is generally believed that when the consistency ratio CR is less than 0.1, the inconsistency of A is within the allowable range, with satisfactory consistency, and passes the consistency test. Its normalized eigenvector can be used as the weight vector, otherwise it needs to be reconstructed into a pair comparison matrix A. ij Be adjusted.

[0064] Step 4: Total sorting and one-time test

[0065] Calculating the relative importance of all factors at a certain level to the highest level (overall goal) is called the total ranking of the level.

[0066] The process proceeds from the highest level (goal) to the lowest level.

[0067] The middle layer has a total of m elements A1, A2, ..., A m , the ranking of the highest level (overall goal) is a1, a2, ..., a m .

[0068] The lowest level n elements B1, B2, ..., B n The single ranking of the middle-level factors is b 1j , b 2j ,......,b nj (j=1, 2, ..., m).

[0069] The total order of the lowest level is

[0070] Step 5: The consistency ratio of the scoring vector and the final scoring hierarchy ranking is: When CR < 0.1, the total hierarchical order is considered to pass the consistency test.

[0071] 3. Data evaluation

[0072] According to the data quality assessment standards, data quality assessment mainly evaluates data from the following four aspects:

[0073] (1) Data integrity: Integrity refers to whether there is any missing data information;

[0074] (2) Consistency: Consistency refers to whether the data follows a unified specification and whether the data set maintains a unified format;

[0075] (3) Accuracy: Accuracy refers to whether the information recorded in the data is abnormal or erroneous;

[0076] (4) Timeliness: Timeliness refers to the time interval from when data is generated to when it can be viewed, also known as the data delay;

[0077] According to the data resource types, data categories, data sources and data volumes of the existing data resource statistical data items, the specific data can be found in Chapter 2, Data Resources.

[0078] (III) Characteristic indicators

[0079] Based on historical experience and case handling experience, we extracted indicators from the above multi-dimensional data, and extracted 35 relevant indicators in total as the basic indicators of the model. The details are shown in the following table:

[0080]

[0081]

[0082]

[0083]

[0084]

[0085]

[0086]

[0087] Since the current data source provides limited information, we combined the Internet (Qichacha, Tianyancha) and other relevant data sources to sort out external data and obtained 9 supplementary data indicators, as shown in the following table:

[0088]

[0089]

[0090] This system seamlessly connects to various data, supports mainstream databases, local files, and supports connecting to unified resource directory services of various data;

[0091] Dynamic modeling uses entities (Object), relationships (Link), and attributes (Property) to achieve heterogeneous data integration;

[0092] Visual analysis

[0093] With visualization as the idea and graphics as the breakthrough, data information is fully presented in multiple dimensions such as graphics, tables, maps, time series, etc., and multi-picture linkage and large-screen display are realized;

[0094] Service Practice

[0095] The model not only integrates various existing data such as the data from the Nanjing Public Security Bureau Big Data Center, the Economic Investigation Brigade, the development zone government departments’ own data, and the data provided by Fenghuo, but also can supplement data according to actual combat needs. In addition, the weights of model indicators can be continuously optimized and adjusted based on actual combat experience to gradually improve the accuracy of model warnings;

[0096] The main function of the monitoring and early warning system is to discover risky shell companies in industrial parks such as science and technology park incubators and issue early warnings. The most intuitive way is to classify the various types of registered enterprises into four risk levels: high, medium, low, and no risk based on the calculation results of the model; for risky enterprises, it is necessary to list in detail the specific risk points and how much each risk point contributes to the final risk rating.

[0097] According to the early warning results, the model can make an overall assessment of the risk situation in the region, especially the risk situation in the new business environment, and make a visual display. In the assessment process, risky enterprises can be classified according to the new business theme, and the relevant police information, case situation, key enterprises, and key personnel information can be further integrated in the theme assessment module. The experience exchange function can also be used to popularize professional knowledge, discuss investigation methods, and summarize prevention countermeasures, so as to provide support for handling various types of crimes in practice, especially crimes caused by new business environments, and improve the efficiency of investigation and prevention.

[0098] System display

[0099] 1. System login

[0100] The model is built on the public security intranet. Log in through the account. Different accounts can use different functions according to the permissions set in the background. You can refer to Figure 4 .

[0101] 2. Multi-dimensional perspective of enterprises

[0102] The enterprise multi-dimensional perspective collects data on enterprises in the park, and displays summary information of enterprises retrieved through query conditions (keywords such as enterprise name, enterprise organization code, etc.) or screening conditions (registration amount, registration time, region, enterprise label) in the form of lists and cards, including enterprise registration address, registration time, registered capital, legal representative of the enterprise, enterprise name and other information, so that users can quickly understand the general information of the enterprise.

[0103] (1) Enterprise archive information

[0104] Click on a company to browse the company's archival information, including basic company information, business information, intellectual property information, risk information, police information, and other information.

[0105] The basic information includes company executive information, shareholder information, legal person information, and registration information.

[0106] (2) Risk Information

[0107] Risk information includes cancellation information, change information, penalty information, court hearing information, breach of trust information, litigation information, abnormal information, and execution information.

[0108] (3) Business information

[0109] Business information includes branches, overseas investments, holding information, financing information, bidding, tax ratings, and annual report information.

[0110] (4) Intellectual Property

[0111] Intellectual property includes trademark information, patent information, copyright, and qualification information.

[0112] (5)Organizational Structure

[0113] The enterprise organization chart is displayed in a visual graphic format, including information about the enterprise's shareholders, executives, subsidiaries, foreign investments, branches, legal representatives, etc. The enterprise organization chart supports the expansion and collapse of relationship nodes, and also supports downloading as an image format to save locally.

[0114] (6) Equity penetration

[0115] It supports displaying the company's equity penetration relationship information in a visual graphical way. It supports downward or upward expansion, and also supports downloading as a picture format to save locally.

[0116] (7) Police Information

[0117] Police information includes police information, case information, 12345 information, practitioner information, investor information and information on people involved in stability.

[0118] (8) Other information

[0119] Other information includes foreign investment guarantees, corporate asset status, reporting information, entity revocation information, corporate public opinion, and corporate judgments.

[0120] The risk monitoring and early warning system has functional modules such as multi-dimensional perspective of enterprises, model monitoring and early warning, and special research and judgment of new business forms.

[0121] (I) Establishing a holographic archive of science and technology park incubator enterprises

[0122] The model has been cleaned by the 1.8 million pieces of industrial and commercial enterprise data provided by the Big Data Center, and has gathered internal and external enterprise data to establish an archive information database of relevant enterprises that is as complete as possible, including legal persons, shareholders, employees, police involvement, case involvement, criminal records, administrative penalties, litigation, industry risk information, etc. Enterprises retrieved through query conditions or screening conditions are displayed in two ways: list and card. Summary information, including enterprise registration address, registration time, registered capital, enterprise legal representative, enterprise name, etc., is displayed to facilitate quick understanding of the enterprise's profile information.

[0123] (II) Building an enterprise risk monitoring and early warning model

[0124] Based on the enterprise archives, according to historical experience and case handling experience, and based on the internal and external data gathered, 44 multi-dimensional data indicators are extracted, and on this basis, enterprise risk monitoring and early warning are carried out, and the crime risk under the new business model is studied and judged. According to the calculation results of the model, all new business-related enterprises in the city are divided into four levels: high, medium, low, and no risk according to the risk level; for enterprises with risks, the specific risk points are listed in detail, and how much each risk point contributes to the final risk rating. According to the early warning results, the model can make an overall judgment on the risk situation in the region and display it visually. In the process of judgment, risky enterprises can be classified according to the new business themes, and the relevant police information, case information, key enterprises, and key personnel information can be further integrated in the thematic judgment module to provide support for handling various new business crimes in practice and improve the efficiency of investigation and prevention.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring and early warning of economic and financial risks in a science and technology park incubator, characterized in that: include: S1, you can view the list of companies with different risk levels in the page list; Through the regional screening function, venture enterprises in the science park incubator can be viewed according to the monitoring area classification; S2, through the risk dimension screening function, you can view risky enterprises that hit various model dimensions. In addition, you can enter query conditions such as enterprise name, registered address, legal person name, etc. to conduct a refined search for enterprise information; S3, click on the enterprise in the monitoring list to enter the enterprise details interface. Search and filter the target enterprise, and the user can click to view the enterprise details. Including basic enterprise information, risk characterization, risk details, case information, penalty information, etc. S4, alarm information displays the alarm records of the specified field. Click the "associated" checkbox to view the associated alarm information. You can search again based on the company name, registration unit, and alarm keyword. Click the alarm number to view detailed alarm reception and handling information. The right side of the list can be used to count the number of alarms by new business field classification or alarm classification; S5, supports adding related alarms. After unchecking the Related checkbox, you can filter the alarms that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the related alarms. S6, the case information list displays case records related to the selected field. Click the "Associated" checkbox to view the associated case information. You can search again based on the company name, case filing unit, and case keywords. The right side of the list can be used to count the number of cases by new business field classification or case classification. It supports adding associated cases. After unchecking the "Associated" checkbox, you can filter the cases that need to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm the addition of the associated case. S7, the key enterprise list displays key enterprises related to the selected field. Click the "Associated" checkbox to view the associated key enterprises. You can search again based on the enterprise name keywords. It supports adding key enterprises of different thematic categories. After unchecking the "Associated" checkbox, you can filter the enterprises to be associated based on keywords. Click the "Edit Category" button on the right side of the list, select the new business category in the pop-up box, and confirm to add the associated enterprise. S8, the key personnel list displays key personnel related to the selected field, and can be searched again based on the personnel's name or ID card.

2. The method for monitoring and early warning of economic and financial risks in a science and technology park incubator according to claim 1 is characterized by: By clicking on the enterprises in the monitoring list, it is possible to intuitively see which risk indicators the enterprises have hit, and what their risk scores and risk ratings are; You can also download the research and assessment report on the company details page, which mainly includes basic company information, company warning information, company risk information, company risk details, company executives and shareholders, company structure diagram, company relationship diagram, research and assessment conclusions and other information.

3. A system for monitoring and early warning of economic and financial risks in a science and technology park incubator, which is applied to the method for monitoring and early warning of economic and financial risks in a science and technology park incubator as described in claims 1-2, characterized in that: It includes a data preprocessing unit, a hierarchical analysis method unit and a relative importance setting unit.

4. The technology park incubator economic and financial risk monitoring and early warning system according to claim 3 is characterized by: The analytic hierarchy process is a decision-making method that decomposes elements that are always related to decision-making into levels such as goals, criteria, and plans, and conducts qualitative and quantitative analysis on this basis.

5. The technology park incubator economic and financial risk monitoring and early warning system according to claim 4 is characterized by: The analytic hierarchy process is to decompose the decision problem into different hierarchical structures in the order of overall goal, sub-goals of each level, evaluation criteria and specific alternative plans, and then use the method of solving the eigenvector of the judgment matrix to obtain the priority weight of each element of each level to an element of the previous level, and finally use the weighted sum method to recursively merge the final weight of each alternative plan to the overall goal. The one with the largest final weight is the optimal plan.

6. The technology park incubator economic and financial risk monitoring and early warning system according to claim 5 is characterized by: The so-called "priority weight" is a relative measure that indicates the relative degree of superiority of each alternative plan under a certain characteristic evaluation criterion or sub-goal, as well as the relative degree of importance of each sub-goal to the upper-level goal.

7. The technology park incubator economic and financial risk monitoring and early warning system according to claim 6 is characterized by: The system model algorithm is divided into the following steps: establishing a hierarchical structure model, constructing a judgment matrix, hierarchical single sorting and one-time inspection, and hierarchical total sorting and one-time inspection.

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