Intelligent business risk control strategy management system

Abstract

The invention discloses an intelligent business risk control strategy management system which comprises a business data acquisition module, a risk assessment module, a business risk control module, a monitoring and early warning module, an enterprise user management module and a report analysis module. The invention belongs to the technical field of enterprise business risk management, and particularly relates to an intelligent business risk control strategy management system, which performs singular value decomposition on business data to reduce the data dimension, performs business data processing and reduces the influence of abnormal data; setting a business risk index, analyzing the influence of market dynamic change on the business, performing customer credit assessment, assessing the risk degree of the business in market demand and dynamic change, paying attention to the influence of customer credit status on the business risk, and performing mobility risk assessment; and formulating countermeasures for different levels of risk detection factors, dividing the risk detection factors into hierarchical structures, calculating a difference degree index, and carrying out comprehensive evaluation on the overall risk condition.

Description

Technical Field

[0001] The present invention belongs to the technical field of enterprise business risk management, and specifically relates to an intelligent business risk control strategy management system. Background Art

[0002] The intelligent business risk control strategy management system is a system that uses big data analysis, artificial intelligence algorithms and real-time monitoring technology to accurately identify potential business risks through learning historical data, automatically formulate relative risk control strategies, support custom risk indicators and threshold settings, achieve early warning and rapid response to risks, help enterprises effectively reduce operational risks, and ensure the steady development of their businesses. However, the existing intelligent business risk control strategy management system has the following technical problems: the enterprise big data may contain erroneous, missing or inconsistent data, which affects the reliability of risk assessment, and easily leads to enterprises taking inappropriate response strategies and facing unnecessary economic losses; the risk environment and business change rapidly, the risk assessment technology is backward, which makes the assessment lagging, and it is difficult to comprehensively and accurately quantify and analyze risks for highly complex business systems; the risk control strategy cannot accurately respond to complex and changeable actual situations, which is prone to misjudgment, reducing the effect of risk control, and lacks a dynamic adjustment mechanism, which makes the strategy lag behind the development of the actual situation and affects the stability and security of enterprise operations. Summary of the invention

[0003] In view of the above situation, in order to overcome the defects of the prior art, the intelligent business risk control strategy management system provided by the present invention aims at the technical problem that the enterprise big data may contain abnormal data, which affects the reliability of risk assessment, and then easily causes the enterprise to adopt inappropriate response strategies and face unnecessary economic losses. This solution collects enterprise business data, performs singular value decomposition to reduce data dimensions, simplifies data structure, reduces noise and redundant information, processes business data, and reduces the impact of abnormal data; in view of the technical problem that the risk environment and business changes rapidly, the risk assessment technology is backward, which makes the assessment lagging, and it is difficult to comprehensively and accurately quantify and analyze risks for highly complex business systems, this solution sets business risk indicators and analyzes market dynamic changes Impact on business, conduct customer credit assessment, measure business risks, assess the risk level of business in market demand and dynamic changes, pay attention to the impact of customer credit status on business risk, and conduct liquidity risk assessment; in view of the technical problems that risk control strategies cannot accurately respond to complex and changeable actual situations, are prone to misjudgment, reduce the effectiveness of risk control, and lack of dynamic adjustment mechanism, so that strategies lag behind the development of actual conditions, affecting the stability and security of enterprise operations, this solution adopts real-time acquisition of financial market data through sensor networks, and formulates response measures for risk detection factors at different levels, divides risk detection factors into hierarchical structures, calculates difference degree indicators, comprehensively evaluates the overall risk situation, accurately identifies different types of risks, and avoids general judgments.

[0004] The intelligent business risk control strategy management system provided by the present invention includes a business data collection module, a risk assessment module, a business risk control module, a monitoring and early warning module, an enterprise user management module and a report analysis module; The business data collection module specifically collects enterprise business data, performs singular value decomposition to reduce data dimensions, and performs business data processing; The risk assessment module specifically sets business risk indicators, analyzes the impact of market dynamics on business, conducts customer credit assessment, measures business risk, assesses the risk level of business in market demand and dynamic changes, pays attention to the impact of customer credit status on business risk, and conducts liquidity risk assessment; The business risk control module specifically acquires financial market data in real time through a sensor network, formulates countermeasures for risk detection factors at different levels, divides risk detection factors into hierarchical structures, calculates difference degree indicators, and conducts a comprehensive evaluation of the overall risk situation; The monitoring and early warning module specifically continuously monitors and defines risk indicators for visual display; The enterprise user management module is specifically for user registration and authentication, user rights allocation, and system security protection; The report analysis module is specifically used to summarize risk data and evaluate the effectiveness of strategy execution.

[0005] Furthermore, in the business data collection module, there are provided a unit for collecting enterprise business data, a data decomposition unit and a business data processing unit, and the business data collection module includes the following contents: The enterprise business data collection unit is used to determine the business systems and databases that need to be accessed, obtain comprehensive enterprise business data, and collect the latest dynamic business data; The business system includes an internal system and an external data source; The internal systems include ERP system and CRM system; The external data sources include data provided by professional market research institutions, financial market data and social media data; The data decomposition unit is used to reduce the data dimension, specifically to perform singular value decomposition on the enterprise business data, and the formula used is as follows: ; In the formula, X represents the high-dimensional feature data matrix of enterprise business data, U represents the left singular vector matrix, and V represents the right singular vector matrix. represents a diagonal matrix consisting of singular values, and T represents the transpose of the matrix; The business data processing unit inputs the business data into the data processing module for processing. The formula used is as follows: ; In the formula, Represents input data, represents the output business data, i represents the index of the business data, Q represents the total number of business data, ∏ represents the continuous product, F represents the feedforward neural network, Represents the mapping function based on the feedforward neural network for business data with different indexes.

[0006] Furthermore, in the risk assessment module, there are a business risk indicator setting unit, a customer credit assessment unit, a business risk measurement unit and a liquidity risk assessment unit. The risk assessment module includes the following contents: Setting up a business risk indicator unit to analyze the impact of market dynamics on the business, including market share fluctuations and market demand changes; The customer credit assessment unit obtains the customer's official credit report, understands the customer's past credit record and financial status, and analyzes the customer's past business dealings, including transaction amounts, frequency, and timely performance; Measuring business risk units, including the following: The first measure of business risk is used to accurately assess the degree of risk of the business in terms of market demand and market dynamics. The formula used is as follows: ; In the formula, It represents the first measurement standard of business risk, t represents the time point of business risk measurement, and n represents the market dynamic change rate, which is used to reflect the market activity, volatility and development trend over a period of time. represents the market demand for the i-th business at time t; The second measure of business risk focuses on the impact of customer credit status on business risk using the following formula: ; In the formula, represents the second measure of business risk, log represents the logarithmic function, It is the increase in customer credit assessment. is the value of the customer's credit rating decline; The liquidity risk assessment unit ensures the normal operation of the business from a financial level and examines the liquidity and allocation capacity of the company's funds. The existence of business risks will affect the liquidity of the company's funds, and the liquidity situation in turn affects the ability to respond to business risks.

[0007] Furthermore, in the business risk control module, there are provided a financial risk detection unit, a hierarchical structure establishment unit, a quantitative analysis unit and a hierarchical sorting unit, and the business risk control module includes the following contents: Financial risk detection unit: The sensor network obtains financial market data in real time and transmits it to the central server through the interaction between sensor nodes. Each level corresponds to different risk detection factors, including market fluctuations and abnormal transaction data. Corresponding countermeasures are formulated for risk detection factors corresponding to different levels. When large market fluctuations are detected, asset allocation is adjusted and risk hedging measures are taken; when abnormal transaction data is found, in-depth investigation is carried out to prevent the expansion of potential business risks; Establish hierarchical units, analyze according to influencing factors, and clearly divide different levels; In the quantitative analysis unit, risk detection factors will affect each other, calculate the difference degree index, and make a comprehensive evaluation of the overall risk situation. The formula used is as follows: ; ; In the formula, Indicates the degree of difference. Represents the weight coefficient of each difference degree indicator, represents the first risk detection factor, represents the second risk detection factor, It represents a comprehensive indicator; The hierarchical sorting unit is verified for consistency. The formula used is as follows: ; ; In the formula, n1 represents the number of factors for consistency analysis. represents the maximum eigenvalue, C 1 Represents the consistency index, R 1 represents the average random consistency index, C R Represents the consistency ratio.

[0008] Furthermore, in the monitoring and early warning module, a real-time monitoring unit and a risk association analysis unit are provided, including the following contents: Real-time monitoring unit, which continuously monitors various data, indicators and key nodes in the business process, promptly discovers abnormal situations that may cause risks, defines risk indicators, and triggers warnings when indicators exceed thresholds; The risk correlation analysis unit analyzes the monitoring data, discovers the development trend of potential risks, makes preparations in advance, analyzes the correlation between different risk events, and has a more comprehensive understanding of the risk situation. It then displays the monitoring information and early warning information through intuitive charts, making it easy for managers to quickly grasp the risk situation.

[0009] Furthermore, in the enterprise user management module, a user registration and authentication unit and a permission allocation unit are provided, including the following contents: The user registration and authentication unit allows enterprise users to register and authenticate their identities to ensure the authenticity and legitimacy of their identities. The user's basic information, including name, contact information, and department, is entered into the system to achieve responsibility tracing and regulate user behavior. The permission allocation unit sets different permission levels for different users, controls user access to system functions and operation permissions, records user behavior for easy tracking and auditing, manages users in groups, facilitates batch permission settings and operations, prevents unauthorized business access and operations, and ensures system security.

[0010] Furthermore, in the report analysis module, the data related to various risks are summarized to form a clear data set, and key risk indicators are presented in intuitive charts. The key risk indicators include risk probability and impact level, showing the changing trend of risk data over time, and analyzing the execution effect and performance of business risk control strategies.

[0011] The beneficial effects achieved by the present invention using the above scheme are as follows: (1) In view of the technical problem that enterprise big data may contain abnormal data, which affects the reliability of risk assessment and easily leads to enterprises taking inappropriate response strategies and facing unnecessary economic losses, this solution collects enterprise business data, performs singular value decomposition to reduce data dimensions, simplifies data structure, reduces noise and redundant information, processes business data, and reduces the impact of abnormal data; (2) In view of the risk environment and the rapid changes in business, the backward risk assessment technology makes the assessment lagging, and the technical problems of difficult to comprehensively and accurately quantify and analyze risks for highly complex business systems, this solution adopts the method of setting business risk indicators, analyzing the impact of market dynamic changes on business, conducting customer credit assessment, measuring business risks, assessing the risk level of business in market demand and dynamic changes, paying attention to the impact of customer credit status on business risks, and conducting liquidity risk assessment; (3) In response to the technical problems that risk control strategies cannot accurately respond to complex and ever-changing actual situations, are prone to misjudgment, and reduce the effectiveness of risk control, and lack a dynamic adjustment mechanism, causing strategies to lag behind the development of actual conditions, affecting the stability and security of corporate operations, this solution uses a sensor network to obtain financial market data in real time, and formulates response measures for risk detection factors at different levels. It divides risk detection factors into a hierarchical structure, calculates the degree of difference index, and conducts a comprehensive evaluation of the overall risk situation, accurately identifies different types of risks, and avoids general judgments. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic diagram of the intelligent business risk control strategy management system provided by the present invention; Figure 2 It is a schematic diagram of a business data collection module; Figure 3 is a schematic diagram of the risk assessment module; Figure 4 This is a schematic diagram of the business risk control module.

[0013] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention. DETAILED DESCRIPTION

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0015] In the description of the present invention, it should be understood that terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “top”, “bottom”, “inside” and “outside” indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0016] Example 1, see Figure 1 The intelligent business risk control strategy management system provided by the present invention includes a business data collection module, a risk assessment module, a business risk control module, a monitoring and early warning module, an enterprise user management module and a report analysis module; The business data collection module specifically collects enterprise business data, performs singular value decomposition to reduce data dimensions, and performs business data processing; The risk assessment module specifically sets business risk indicators, analyzes the impact of market dynamics on business, conducts customer credit assessment, measures business risk, assesses the risk level of business in market demand and dynamic changes, pays attention to the impact of customer credit status on business risk, and conducts liquidity risk assessment; The business risk control module specifically acquires financial market data in real time through a sensor network, formulates countermeasures for risk detection factors at different levels, divides risk detection factors into hierarchical structures, calculates difference degree indicators, and conducts a comprehensive evaluation of the overall risk situation; The monitoring and early warning module specifically continuously monitors and defines risk indicators for visual display; The enterprise user management module is specifically for user registration and authentication, user rights allocation, and system security protection; The report analysis module is specifically used to summarize risk data and evaluate the effectiveness of strategy execution.

[0017] Example 2, see Figure 1 and Figure 2 This embodiment is based on the above embodiment. In the business data collection module, there are provided a unit for collecting enterprise business data, a data decomposition unit and a business data processing unit. The business data collection module includes the following contents: The enterprise business data collection unit is used to determine the business systems and databases that need to be accessed, obtain comprehensive enterprise business data, and collect the latest dynamic business data; The business system includes an internal system and an external data source; The internal systems include ERP system and CRM system; The external data sources include data provided by professional market research institutions, financial market data and social media data; The data decomposition unit performs singular value decomposition on the enterprise business data to reduce the data dimension. The formula used is as follows: ; In the formula, X represents the high-dimensional feature data matrix of enterprise business data, U represents the left singular vector matrix, and V represents the right singular vector matrix. represents a diagonal matrix consisting of singular values, and T represents the transpose of the matrix; The business data processing unit inputs the business data into the data processing module for processing. The formula used is as follows: ; In the formula, Represents input data, represents the output business data, i represents the index of the business data, Q represents the total number of business data, ∏ represents the continuous product, F represents the feedforward neural network, Represents the mapping function based on the feedforward neural network for business data with different indexes.

[0018] By performing the above operations, this solution collects enterprise business data, performs singular value decomposition to reduce data dimensions, simplifies data structure, reduces noise and redundant information, processes business data, and reduces the impact of abnormal data. It solves the technical problem that enterprise big data may contain abnormal data, affecting the reliability of risk assessment, and easily causing enterprises to adopt inappropriate response strategies and face unnecessary economic losses.

[0019] Example 3, see Figure 1 and Figure 3 This embodiment is based on the above embodiment. In the risk assessment module, there are provided a business risk indicator setting unit, a customer credit assessment unit, a business risk measurement unit and a liquidity risk assessment unit. The risk assessment module includes the following contents: Setting up a business risk indicator unit to analyze the impact of market dynamics on the business, including market share fluctuations and market demand changes; The customer credit assessment unit obtains the customer's official credit report, understands the customer's past credit record and financial status, and analyzes the customer's past business dealings, including transaction amounts, frequency, and timely performance; Measuring business risk units, including the following: The first measure of business risk is used to accurately assess the degree of risk of the business in terms of market demand and market dynamics. The formula used is as follows: ; In the formula, It represents the first measurement standard of business risk, t represents the time point of business risk measurement, and n represents the market dynamic change rate, which is used to reflect the market activity, volatility and development trend over a period of time. represents the market demand for the i-th business at time t; The second measure of business risk focuses on the impact of customer credit status on business risk using the following formula: ; In the formula, represents the second measure of business risk, log represents the logarithmic function, It is the increase in customer credit assessment. is the value of the customer's credit rating decline; The liquidity risk assessment unit ensures the normal operation of the business from a financial level and examines the liquidity and allocation capacity of the company's funds. The existence of business risks will affect the liquidity of the company's funds, and the liquidity situation in turn affects the ability to respond to business risks.

[0020] By performing the above operations, this solution adopts the method of setting business risk indicators, analyzing the impact of market dynamic changes on the business, conducting customer credit assessment, measuring business risks, assessing the degree of risk of business in market demand and dynamic changes, paying attention to the impact of customer credit status on business risk, and conducting liquidity risk assessment. It solves the technical problems that the risk environment and business change rapidly, the risk assessment technology is backward, making the assessment lagging, and it is difficult to comprehensively and accurately quantify and analyze risks for highly complex business systems.

[0021] Example 4, see Figure 1 and Figure 4 This embodiment is based on the above embodiment. In the business risk control module, a financial risk detection unit, a hierarchical structure establishment unit, a quantitative analysis unit and a hierarchical sorting unit are provided. The business risk control module includes the following contents: Financial risk detection unit: The sensor network obtains financial market data in real time and transmits it to the central server through the interaction between sensor nodes. Each level corresponds to different risk detection factors, including market fluctuations and abnormal transaction data. Corresponding countermeasures are formulated for risk detection factors corresponding to different levels. When large market fluctuations are detected, asset allocation is adjusted and risk hedging measures are taken; when abnormal transaction data is found, in-depth investigation is carried out to prevent the expansion of potential business risks; Establish hierarchical units, analyze according to influencing factors, and clearly divide different levels; In the quantitative analysis unit, risk detection factors will affect each other, calculate the difference degree index, and make a comprehensive evaluation of the overall risk situation. The formula used is as follows: ; ; In the formula, Indicates the degree of difference. Represents the weight coefficient of each difference degree indicator, represents the first risk detection factor, represents the second risk detection factor, It represents a comprehensive indicator; The hierarchical sorting unit is verified for consistency. The formula used is as follows: ; ; In the formula, n1 represents the number of factors for consistency analysis. represents the maximum eigenvalue, C 1 Represents the consistency index, R 1 represents the average random consistency index, C R Represents the consistency ratio.

[0022] By executing the above operations, this solution adopts real-time acquisition of financial market data through the sensor network, and formulates response measures for risk detection factors at different levels, divides risk detection factors into hierarchical structures, calculates difference degree indicators, and comprehensively evaluates the overall risk situation. It accurately identifies different types of risks and avoids general judgments. It solves the technical problems that risk control strategies cannot accurately respond to complex and changeable actual situations, are prone to misjudgments, reduce the effectiveness of risk control, and lack a dynamic adjustment mechanism, causing strategies to lag behind the development of actual conditions and affecting the stability and security of enterprise operations.

[0023] Example 5, see Figure 1 This embodiment is based on the above embodiment. In the monitoring and early warning module, a real-time monitoring unit and a risk association analysis unit are provided, including the following contents: Real-time monitoring unit, which continuously monitors various data, indicators and key nodes in the business process, promptly discovers abnormal situations that may cause risks, defines risk indicators, and triggers warnings when indicators exceed thresholds; The risk correlation analysis unit analyzes the monitoring data, discovers the development trend of potential risks, makes preparations in advance, analyzes the correlation between different risk events, and has a more comprehensive understanding of the risk situation. It then displays the monitoring information and early warning information through intuitive charts, making it easy for managers to quickly grasp the risk situation.

[0024] Example 6, see Figure 1 This embodiment is based on the above embodiment. In the enterprise user management module, a user registration authentication unit and a permission allocation unit are provided, including the following contents: The user registration and authentication unit allows enterprise users to register and authenticate their identities to ensure the authenticity and legitimacy of their identities. The user's basic information, including name, contact information, and department, is entered into the system to achieve responsibility tracing and regulate user behavior. The permission allocation unit sets different permission levels for different users, controls user access to system functions and operation permissions, records user behavior for easy tracking and auditing, manages users in groups, facilitates batch permission settings and operations, prevents unauthorized business access and operations, and ensures system security.

[0025] Embodiment 7, see Figure 1 This embodiment is based on the above embodiment. In the report analysis module, the data related to various risks are summarized to form a clear data set, and key risk indicators are presented in intuitive charts. The key risk indicators include risk probability and impact degree, showing the change trend of risk data over time, and analyzing the execution effect and performance of business risk control strategies.

[0026] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0027] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

[0028] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. Intelligent business risk control strategy management system, characterized by: The system includes business data collection module, risk assessment module, business risk control module, monitoring and early warning module, enterprise user management module and report analysis module; The business data collection module specifically collects enterprise business data, performs singular value decomposition to reduce data dimensions, and performs business data processing; The risk assessment module specifically sets business risk indicators, analyzes the impact of market dynamics on business, conducts customer credit assessment, measures business risk, assesses the risk level of business in market demand and dynamic changes, pays attention to the impact of customer credit status on business risk, and conducts liquidity risk assessment; The business risk control module specifically acquires financial market data in real time through a sensor network, formulates countermeasures for risk detection factors at different levels, divides risk detection factors into hierarchical structures, calculates difference degree indicators, and conducts a comprehensive evaluation of the overall risk situation; The monitoring and early warning module specifically continuously monitors and defines risk indicators for visual display; The enterprise user management module is specifically for user registration and authentication, and user rights allocation; The report analysis module is specifically used to summarize risk data and evaluate the effectiveness of strategy execution.

2. The intelligent business risk control strategy management system according to claim 1, characterized in that: The risk assessment module includes a business risk indicator setting unit, a customer credit assessment unit, a business risk measurement unit and a liquidity risk assessment unit. The risk assessment module includes the following contents: Setting up a business risk indicator unit to analyze the impact of market dynamics on the business, including market share fluctuations and market demand changes; The customer credit assessment unit obtains the customer's official credit report, understands the customer's past credit record and financial status, and analyzes the customer's past business dealings, including transaction amounts, frequency, and timely performance; Measuring business risk units, including the following: The first measure of business risk is used to accurately assess the degree of risk of the business in terms of market demand and market dynamics. The formula used is as follows: ； In the formula, represents the first measure of business risk, t represents the time point of business risk measurement, and n represents the rate of change of market dynamics. represents the market demand for the i-th business at time t; The second measure of business risk focuses on the impact of customer credit status on business risk using the following formula: ； In the formula, represents the second measure of business risk, log represents the logarithmic function, It is the increase in customer credit assessment. is the value of the customer's credit rating decline; The liquidity risk assessment unit ensures the normal operation of the business from a financial level and examines the liquidity and allocation capacity of the company's funds. The existence of business risks will affect the liquidity of the company's funds, and the liquidity situation in turn affects the ability to respond to business risks.

3. The intelligent business risk control strategy management system according to claim 1, characterized in that: In the business data collection module, there are provided a unit for collecting enterprise business data, a data decomposition unit and a business data processing unit. The business data collection module includes the following contents: The enterprise business data collection unit is used to determine the business systems and databases that need to be accessed, obtain comprehensive enterprise business data, and collect the latest dynamic business data; The business system includes an internal system and an external data source; The internal systems include ERP system and CRM system; The external data sources include data provided by professional market research institutions, financial market data and social media data; The data decomposition unit is used to reduce the data dimension, specifically to perform singular value decomposition on the enterprise business data, and the formula used is as follows: ； In the formula, X represents the high-dimensional feature data matrix of enterprise business data, U represents the left singular vector matrix, and V represents the right singular vector matrix. represents a diagonal matrix consisting of singular values, and T represents the transpose of the matrix; The business data processing unit inputs the business data into the data processing module for processing. The formula used is as follows: ； In the formula, Represents input data, represents the output business data, i represents the index of the business data, Q represents the total number of business data, ∏ represents the continuous product, F represents the feedforward neural network, Represents the mapping function based on the feedforward neural network for business data with different indexes.

4. The intelligent business risk control strategy management system according to claim 1, characterized in that: In the business risk control module, there are provided a financial risk detection unit, a hierarchical structure establishment unit, a quantitative analysis unit and a hierarchical sorting unit. The business risk control module includes the following contents: Financial risk detection unit: The sensor network obtains financial market data in real time and transmits it to the central server through the interaction between sensor nodes. Each level corresponds to different risk detection factors, including market fluctuations and abnormal transaction data. Corresponding countermeasures are formulated for risk detection factors corresponding to different levels. When large market fluctuations are detected, asset allocation is adjusted and risk hedging measures are taken; Conduct in-depth investigations when abnormal transaction data is found; Establish hierarchical units, classify risk detection factors logically, divide them into different levels, and assign relative importance weights to each level and factor to reflect the degree of impact on the overall risk; In the quantitative analysis unit, risk detection factors will affect each other, calculate the difference degree index, and make a comprehensive evaluation of the overall risk situation. The formula used is as follows: ； ； In the formula, Indicates the degree of difference. Represents the weight coefficient of each difference degree indicator, represents the first risk detection factor, represents the second risk detection factor, It represents a comprehensive indicator; The hierarchical sorting unit is verified for consistency. The formula used is as follows: ； ； In the formula, n1 represents the number of factors for consistency analysis. represents the maximum eigenvalue, C1 represents the consistency index, R1 represents the average random consistency index, C R Represents the consistency ratio.

5. The intelligent business risk control strategy management system according to claim 1, characterized in that: In the monitoring and early warning module, there are real-time monitoring units and risk association analysis units, including the following: Real-time monitoring unit, which continuously monitors various data, indicators and key nodes in the business process, promptly discovers abnormal situations that may cause risks, defines risk indicators, and triggers warnings when indicators exceed thresholds; The risk correlation analysis unit analyzes the monitoring data, discovers the development trend of potential risks, makes preparations in advance, analyzes the correlation between different risk events, and then displays them visually. It displays monitoring information and early warning information through intuitive charts, allowing managers to quickly grasp the risk status.

6. The intelligent business risk control strategy management system according to claim 1, characterized in that: In the enterprise user management module, there are user registration and authentication units and authority allocation units, including the following: The user registration and authentication unit allows enterprise users to register and authenticate their identities to ensure the authenticity and legitimacy of their identities. The user's basic information, including name, contact information, and department, is entered into the system to achieve responsibility tracing and regulate user behavior. The permission allocation unit sets different permission levels for different users, controls user access to system functions and operation permissions, records user behavior for easy tracking and auditing, manages users in groups, facilitates batch permission settings and operations, and prevents unauthorized business access and operations.

7. The intelligent business risk control strategy management system according to claim 1, characterized in that: In the report analysis module, data related to various risks are summarized to form a clear data set, and key risk indicators are presented in intuitive charts. The key risk indicators include risk probability and impact level, showing the changing trend of risk data over time, and analyzing the execution effect and performance of business risk control strategies.

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