Risk dynamic identification system and method for enterprise management

Abstract

The invention discloses a risk dynamic identification system and method for enterprise management, and particularly relates to the technical field of big data, and the system comprises an enterprise data region division module, an enterprise information collection module, an enterprise information preprocessing module, an information analysis module, a comprehensive analysis module, a comprehensive judgment module, an enterprise early warning module and a database module. According to the invention, intelligent operation analysis is carried out on data information of a target enterprise, sub-regions are divided, pre-processing operation can be carried out on collected data, data transmitted by enterprise information pre-processing operation are received through an information analysis module, various coefficient values are obtained, an enterprise risk assessment index is obtained through a comprehensive analysis model, and the risk assessment efficiency is improved. And convenience is provided for subsequent enterprise management risk dynamic identification. The method has the advantages that the enterprise management information data are accurately acquired and analyzed, the stability and the safety of risk dynamic identification of enterprise management are ensured, and a powerful solution is provided for large-scale enterprises.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and more specifically, to a risk dynamic identification system and method for enterprise management. Background Art

[0002] In today's digital age, the business environment has undergone profound changes. Big data technology has emerged and has shown extremely critical application value in the field of business management. With the rapid development of information technology, internal business systems, external market environments, and customer interaction channels have generated massive amounts of data, which include structured, semi-structured, and unstructured data, including corporate financial transaction records, production and operation monitoring data, market research feedback, social media comments, and information collected by IoT devices.

[0003] An existing risk dynamic identification system for enterprise management mainly includes an external data collection module, an internal data collection module and a risk assessment module. The external data collection module mainly uses various web crawlers and data interfaces to collect relevant data on the external environment of the enterprise; the internal data collection module collects data such as operating processes and financial status through the enterprise's internal information system; the risk assessment module conducts a comprehensive assessment of the collected data based on the established risk model and algorithm to determine the various risk levels faced by the enterprise, thereby providing a basis for the formulation of the enterprise's risk management strategy.

[0004] However, there are still some shortcomings in its actual application. In terms of the external data collection module, due to the complex and changeable network environment and the reliability differences of data sources, the collected macroeconomic data, market competition data, etc. are easily disturbed, resulting in low data accuracy. For example, when obtaining industry market share data, due to the inconsistent statistical caliber of some data sources or the lag in data update, the collected data deviates from the actual situation. In the internal data collection module, although data can be obtained from the internal information system of the enterprise, in the data integration and cleaning link, the existing technology is often difficult to effectively deal with data redundancy, erroneous data, and inconsistent data formats. This easily causes data omissions and analysis results deviations, resulting in data faults, which seriously weakens the reference value of internal data for enterprise risk identification. In addition, the existing system lacks a comprehensive key indicator system to comprehensively measure the risk status of the enterprise. It only relies on scattered data for evaluation and cannot conduct in-depth analysis of enterprise risks from an overall perspective, making risk assessment not comprehensive and objective, thereby increasing the difficulty and risk of enterprises in strategic decision-making, resource allocation, etc., and bringing many inconveniences and troubles to enterprise management.

[0005] Therefore, there is an urgent need for a dynamic risk identification system and method for enterprise management. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a system and method for dynamic risk identification for enterprise management, which solves the problems raised in the above-mentioned background technology through the field of big data technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a risk dynamic identification system for enterprise management, comprising the following modules:

[0008] Enterprise data area division module: used for intelligent operation and analysis of target enterprise data information, and divided into production information division unit, employee information division unit and operation information division unit;

[0009] Enterprise information collection module: used to collect data from any sub-area in the enterprise data area division module; including production information collection unit, employee information collection unit and operation information collection unit;

[0010] Enterprise information preprocessing module: receives the data information transmitted by each unit of the enterprise information acquisition module, performs preprocessing operations on each sub-area in each information area of ​​the target enterprise to obtain each data, and transmits each data to the information analysis module;

[0011] Information analysis module: used to receive data transmitted by the enterprise information preprocessing module, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis module;

[0012] Comprehensive analysis module: used to receive data transmitted by the information analysis module, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment module; including a comprehensive analysis unit;

[0013] Comprehensive judgment module: obtains the preset comprehensive enterprise safety threshold, outputs a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmits the digital signal to the enterprise early warning module;

[0014] Enterprise early warning module: According to the abnormal signals sent by the comprehensive judgment module, analyze the abnormal signals to obtain a visual interface and send it to the corresponding managers of the target enterprise;

[0015] Database module: used to store the enterprise data of previous years in each sub-area within the target enterprise information area.

[0016] Preferably, the specific collection method of the production information collection unit is: the total inventory quantity of raw materials and the total purchase amount of raw materials in each sub-area within the production information area of ​​the target enterprise are marked as Sc i , Sd i , where i represents the number of the i-th sub-area; the specific collection method of the employee information collection unit is: the total number of enterprise employees, employee wages and employee training time of each sub-area in the target enterprise employee information area are marked as Yw i , Yt i and Yj i , where i represents the number of the i-th sub-region; the specific collection method of the operation information collection unit is: the total amount of enterprise profit and the amount of enterprise debt of each sub-region in the target enterprise operation information region are marked as Qt i , Qp i , where i represents the number of the i-th sub-region.

[0017] Preferably, the pre-processing operation specifically includes:

[0018] The formula for calculating the average total quantity of raw materials inventory is:

[0019]

[0020] Where SC represents the average total quantity of raw material inventory, Sc i Represents the total quantity of raw material inventory in the i-th sub-region.

[0021] The formula for calculating the average total amount of raw material purchases is:

[0022]

[0023] Where SD represents the average total amount of raw material purchases, Sd i Represents the total amount of raw material purchases in the i-th sub-region.

[0024] The formula for calculating the average number of seniority employees per month is:

[0025]

[0026] Where YW represents the average number of employees with seniority per month, Yw i Represents the total number of employees in the enterprise in the i-th sub-region.

[0027] The formula for calculating the average amount of employee wages is:

[0028]

[0029] Where YT represents the average salary of employees, Yt irepresents the employee salary in the i-th sub-region.

[0030] The formula for calculating the average duration of employee training is:

[0031]

[0032] Where YJ represents the average duration of employee training, Yj i Represents the employee training duration of the i-th sub-area.

[0033] The formula for calculating the average total amount of corporate profits is:

[0034]

[0035] Where QT represents the average total amount of corporate profits, Qt i Represents the total amount of corporate profits in the ith sub-region.

[0036] The formula for calculating the growth rate of corporate debt is:

[0037]

[0038] Where QP represents the growth rate of corporate liabilities, Qp i-1 represents the amount of corporate debt in the i-1th sub-region, Qp i represents the amount of corporate debt in the ith sub-region. Before data collection, after preprocessing, Qp is excluded. i-1 With Qp i The values ​​are equal.

[0039] Preferably, the calculation formula of the enterprise inventory occupancy ratio coefficient is:

[0040]

[0041] Where S represents the enterprise inventory occupancy ratio coefficient, SC represents the average total quantity of raw material inventory, Sc i represents the total inventory of raw materials in the ith sub-region, SD represents the average total amount of raw material purchases, Sd i represents the total amount of raw material purchases for the ith sub-region, and n represents the total number of sub-regions.

[0042] Preferably, the calculation formula of the enterprise employee development stability coefficient is:

[0043]

[0044] Among them, Y represents the enterprise employee development stability coefficient, YW represents the average number of employees with seniority per month, and Yw irepresents the total number of employees in the i-th sub-region, YT represents the average employee salary, YJ represents the average duration of employee training, and n represents the total number of sub-regions.

[0045] Preferably, the calculation formula of the enterprise operation stability coefficient is:

[0046]

[0047] Where Q represents the enterprise operation stability coefficient, QT represents the average total amount of enterprise profit, Qt i represents the total amount of corporate profits in the ith sub-region, QP represents the growth rate of corporate liabilities, and n represents the total number of sub-regions.

[0048] Preferably, the comprehensive analysis unit is used to establish a comprehensive analysis model, import the data transmitted by the receiving information analysis module into the comprehensive analysis model, and calculate the enterprise risk assessment index, which is specifically expressed as:

[0049]

[0050] Among them, η represents the enterprise risk assessment index, S represents the enterprise inventory occupancy ratio coefficient, Y represents the enterprise employee development stability coefficient, Q represents the enterprise operation stability state coefficient, α1, α2, α3 represent the enterprise risk weight coefficients and are all greater than zero, α1, α2, α3 and equal to one, and μ represents other influencing factors of the enterprise risk assessment index.

[0051] Preferably, the preset comprehensive enterprise safety threshold is recorded as Δη based on the enterprise comprehensive risk assessment value in previous years; the specific determination is as follows:

[0052] A1: If η<Δη, that is, the enterprise risk assessment index is less than the preset comprehensive enterprise safety threshold, it means that the enterprise is in a safe signal area, and the enterprise's safety information is stored in the database module;

[0053] A2: If η>Δη, that is, the enterprise risk assessment index is greater than the preset comprehensive enterprise safety threshold, an abnormal signal is issued and the enterprise early warning module is entered.

[0054] Preferably, a method for dynamic risk identification for enterprise management specifically includes:

[0055] S1: Enterprise data area division: used for intelligent operation analysis of target enterprise data information, and divided into production information division unit, employee information division unit and operation information division unit;

[0056] S2: Enterprise information collection: used to collect data from any sub-area in the enterprise data area division step; including production information collection unit, employee information collection unit and operation information collection unit;

[0057] S3: Enterprise information preprocessing: receiving the data information transmitted by each unit in the enterprise information collection step, preprocessing each sub-area in each information area of ​​the target enterprise to obtain each data, and transmitting each data to the information analysis step;

[0058] S4: Information analysis: used to receive data transmitted by the enterprise information preprocessing step, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis step;

[0059] S5: Comprehensive analysis: used to receive the data transmitted by the information analysis step, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment step;

[0060] S6: Comprehensive judgment: Obtain the preset comprehensive enterprise safety threshold, output a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmit the digital signal to the risk warning step;

[0061] S7: Risk warning: Based on the abnormal signals issued in the comprehensive judgment step, analyze the abnormal signals to obtain a visual interface and send it to the corresponding managers of the target enterprise.

[0062] Technical effects and advantages of the present invention:

[0063] 1. The present invention can accurately divide each information area into sub-areas through the enterprise data area division module, which helps to improve the accuracy of enterprise management; through the enterprise information collection module, production information data, employee information data and operation information data are collected, and the situation of enterprise management information can be dynamically evaluated;

[0064] 2. The present invention obtains various data through the enterprise information preprocessing module, which helps to improve the enterprise data quality, enhance data security and remove abnormal values; the information analysis module receives the data transmitted by the enterprise information preprocessing module to obtain the enterprise inventory occupancy ratio coefficient, enterprise employee development stability coefficient and enterprise operation stability state coefficient; it helps to improve the accuracy and comprehensiveness of the risk analysis of enterprise management;

[0065] 3. The present invention uses a comprehensive analysis module to establish a comprehensive analysis model, imports the data transmitted by the information analysis module into the comprehensive analysis model, and calculates the enterprise risk assessment index, so that data information for enterprise management is more intuitive; through the comprehensive judgment module, the preset comprehensive enterprise safety threshold is obtained, and the reasonable value of the comprehensive assessment is compared with the preset reasonable value of the comprehensive assessment to ensure the stability and security of dynamic identification of risks in enterprise management. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0067] Figure 2 It is a schematic diagram of the structure of the method of the present invention. DETAILED DESCRIPTION

[0068] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] As attached Figure 1 A risk dynamic identification system for enterprise management is shown, and the specific modules include:

[0070] Enterprise data area division module: used for intelligent operation and analysis of the target enterprise's data information, and divided into production information division unit, employee information division unit and operation information division unit.

[0071] In this embodiment, it should be specifically explained that the division method in the enterprise data area division module is: one month, one week and one day.

[0072] In this embodiment, it should be specifically explained that the production information division unit is used to divide the production information area of ​​the target enterprise into sub-areas according to an equal time division method, and the sub-areas in the production information area of ​​the target enterprise are numbered 1, 2, ..., i, ..., n in sequence; the employee information division unit is used to divide the employee information area of ​​the target enterprise into sub-areas according to an equal time division method, and the sub-areas in the employee information area of ​​the target enterprise are numbered 1, 2, ..., i, ..., n in sequence; the operation information division unit is used to divide the operation information area of ​​the target enterprise into sub-areas according to an equal time division method, and the sub-areas in the operation information area of ​​the target enterprise are numbered 1, 2, ..., i, ..., n in sequence.

[0073] Enterprise information collection module: used to collect data from any sub-area in the enterprise data area division module; including production information collection unit, employee information collection unit and operation information collection unit.

[0074] In this embodiment, it is specifically necessary to explain that the production information collection unit is used to obtain the total inventory quantity of raw materials and the total amount of raw materials purchased in each sub-area within the production information area of ​​the target enterprise, and transmit the data to the enterprise information preprocessing module; the employee information collection unit is used to obtain the employee training time, the total number of enterprise employees and employee wages in each sub-area within the employee information area of ​​the target enterprise, and transmit the data to the enterprise information preprocessing module; the operation information collection unit is used to obtain the total amount of enterprise profit and the amount of enterprise debt in each sub-area within the operation information area of ​​the target enterprise, and transmit the data to the enterprise information preprocessing module;

[0075] In this embodiment, it should be specifically explained that the specific collection method of the production information collection unit is: the total inventory quantity of raw materials and the total purchase amount of raw materials in each sub-area within the production information area of ​​the target enterprise are marked as Sc i , Sd i , where i represents the number of the i-th sub-region;

[0076] The specific collection method of the employee information collection unit is: the total number of enterprise employees, employee wages and employee training time of each sub-area in the target enterprise employee information area are marked as Yw i , Yt i and Yj i , where i represents the number of the i-th sub-region;

[0077] The specific collection method of the operation information collection unit is: the total amount of enterprise profit and enterprise debt amount of each sub-area in the target enterprise operation information area are marked as Qt i , Qp i , where i represents the number of the i-th sub-region.

[0078] Enterprise information preprocessing module: receives the data information transmitted by each unit of the enterprise information acquisition module, preprocesses each sub-area in each information area of ​​the target enterprise to obtain each data, and transmits each data to the information analysis module;

[0079] In this embodiment, it should be specifically noted that the data obtained by the preprocessing include: the average total quantity of raw material inventory, the average total amount of raw material purchases, the average number of employees with seniority per month, the average amount of employee wages, the average duration of employee training, the average total amount of corporate profits, and the growth rate of corporate liabilities;

[0080] In this embodiment, it should be specifically noted that the preprocessing operation specifically includes:

[0081] The formula for calculating the average total quantity of raw materials inventory is:

[0082]

[0083] Where SC represents the average total quantity of raw material inventory, Sc i Represents the total quantity of raw material inventory in the i-th sub-region.

[0084] The formula for calculating the average total amount of raw material purchases is:

[0085]

[0086] Where SD represents the average total amount of raw material purchases, Sd i Represents the total amount of raw material purchases in the i-th sub-region.

[0087] The formula for calculating the average number of seniority employees per month is:

[0088]

[0089] Where YW represents the average number of employees with seniority per month, Yw i Represents the total number of employees in the enterprise in the i-th sub-region.

[0090] The formula for calculating the average amount of employee wages is:

[0091]

[0092] Where YT represents the average salary of employees, Yt i represents the employee salary in the i-th sub-region.

[0093] The formula for calculating the average duration of employee training is:

[0094]

[0095] Where YJ represents the average duration of employee training, Yj i Represents the employee training duration of the i-th sub-area.

[0096] The formula for calculating the average total amount of corporate profits is:

[0097]

[0098] Where QT represents the average total amount of corporate profits, Qt i Represents the total amount of corporate profits in the ith sub-region.

[0099] The formula for calculating the growth rate of corporate debt is:

[0100]

[0101] Where QP represents the growth rate of corporate liabilities, Qp i-1 represents the amount of corporate debt in the i-1th sub-region, Qp i represents the amount of corporate debt in the ith sub-region. Before data collection, after preprocessing, Qp is excluded. i-1 With Qp i The values ​​are equal.

[0102] Information analysis module: used to receive data transmitted by the enterprise information preprocessing module, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis module.

[0103] In this embodiment, it should be specifically explained that the calculation formula of the enterprise inventory occupancy ratio coefficient is:

[0104]

[0105] Where S represents the enterprise inventory occupancy ratio coefficient, SC represents the average total quantity of raw material inventory, Sc i represents the total inventory of raw materials in the ith sub-region, SD represents the average total amount of raw material purchases, Sd i represents the total amount of raw material purchases for the ith sub-region, and n represents the total number of sub-regions.

[0106] In this embodiment, it should be specifically explained that the calculation formula of the enterprise employee development stability coefficient is:

[0107]

[0108] Among them, Y represents the enterprise employee development stability coefficient, YW represents the average number of employees with seniority per month, and Yw i represents the total number of employees in the i-th sub-region, YT represents the average employee salary, YJ represents the average duration of employee training, and n represents the total number of sub-regions.

[0109] In this embodiment, it should be specifically explained that the calculation formula of the enterprise operation stability coefficient is:

[0110]

[0111] Where Q represents the enterprise operation stability coefficient, QT represents the average total amount of enterprise profit, Qt i represents the total amount of corporate profits in the ith sub-region, QP represents the growth rate of corporate liabilities, and n represents the total number of sub-regions.

[0112] Comprehensive analysis module: used to receive data transmitted by the information analysis module, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment module; including a comprehensive analysis unit.

[0113] In this embodiment, it should be specifically explained that the comprehensive analysis unit is used to establish a comprehensive analysis model, import the data transmitted by the receiving information analysis module into the comprehensive analysis model, and calculate the enterprise risk assessment index, which is specifically expressed as:

[0114]

[0115] Among them, η represents the enterprise risk assessment index, S represents the enterprise inventory occupancy ratio coefficient, Y represents the enterprise employee development stability coefficient, Q represents the enterprise operation stability state coefficient, α1, α2, α3 represent the enterprise risk weight coefficients and are all greater than zero, α1, α2, α3 and equal to one, and μ represents other influencing factors of the enterprise risk assessment index.

[0116] Comprehensive judgment module: obtains the preset comprehensive enterprise safety threshold, outputs a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmits the digital signal to the enterprise early warning module.

[0117] In this embodiment, it should be specifically noted that the preset comprehensive enterprise safety threshold is based on the enterprise comprehensive risk assessment value in previous years, denoted as Δη; the specific determination is as follows:

[0118] A1: If η<Δη, that is, the enterprise risk assessment index is less than the preset comprehensive enterprise safety threshold, it means that the enterprise is in a safe signal area, and the enterprise's safety information is stored in the database module;

[0119] A2: If η>Δη, that is, the enterprise risk assessment index is greater than the preset comprehensive enterprise safety threshold, an abnormal signal is issued and the enterprise early warning module is entered.

[0120] Enterprise early warning module: According to the abnormal signals sent by the comprehensive judgment module, the abnormal signals are analyzed to obtain a visual interface, and sent to the corresponding managers of the target enterprise.

[0121] Database module: used to store the enterprise data of previous years in each sub-area within the target enterprise information area.

[0122] As attached Figure 2As shown, this embodiment provides a method for dynamic risk identification for enterprise management, comprising the following steps S1-S7:

[0123] S1: Enterprise data area division: used for intelligent operation analysis of target enterprise data information, and divided into production information division unit, employee information division unit and operation information division unit;

[0124] S2: Enterprise information collection: used to collect data from any sub-area in the enterprise data area division step; including production information collection unit, employee information collection unit and operation information collection unit;

[0125] S3: Enterprise information preprocessing: receiving the data information transmitted by each unit in the enterprise information collection step, preprocessing each sub-area in each information area of ​​the target enterprise to obtain each data, and transmitting each data to the information analysis step;

[0126] S4: Information analysis: used to receive data transmitted by the enterprise information preprocessing step, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis step;

[0127] S5: Comprehensive analysis: used to receive the data transmitted by the information analysis step, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment step;

[0128] S6: Comprehensive judgment: Obtain the preset comprehensive enterprise safety threshold, output a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmit the digital signal to the risk warning step;

[0129] S7: Risk warning: Based on the abnormal signals issued in the comprehensive judgment step, analyze the abnormal signals to obtain a visual interface and send it to the corresponding managers of the target enterprise.

[0130] The present invention can accurately divide each information area into sub-areas through the enterprise data area division module, which is helpful to improve the accuracy of enterprise management; through the enterprise information collection module, production information data, employee information data and operation information data are collected, and the situation of enterprise management information can be dynamically evaluated; through the enterprise information preprocessing module, various data are obtained, which is helpful to improve the quality of enterprise data, enhance data security and remove abnormal values; through the information analysis module, the data transmitted by the enterprise information preprocessing module is received to obtain the enterprise inventory occupancy ratio coefficient, the enterprise employee development stability coefficient and the enterprise operation stability state coefficient; it is helpful to the accuracy and comprehensiveness of the risk analysis of enterprise management; through the comprehensive analysis module, a comprehensive analysis model is established, and the data transmitted by the information analysis module is imported into the comprehensive analysis model to calculate the enterprise risk assessment index, so that data information for enterprise management is more intuitive; through the comprehensive judgment module, a preset comprehensive enterprise safety threshold is obtained, and a reasonable value of the comprehensive assessment is compared with a preset reasonable value of the comprehensive assessment to ensure the stability and security of dynamic identification of risks in enterprise management.

[0131] Secondly, in the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0132] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A dynamic risk identification system for enterprise management, characterized in that: include: Enterprise data area division module: used for intelligent operation and analysis of target enterprise data information, and divided into production information division unit, employee information division unit and operation information division unit; Enterprise information collection module: used to collect data from any sub-area in the enterprise data area division module; It includes production information collection unit, employee information collection unit and operation information collection unit; Enterprise information preprocessing module: receives the data information transmitted by each unit of the enterprise information acquisition module, performs preprocessing operations on each sub-area in each information area of ​​the target enterprise to obtain each data, and transmits each data to the information analysis module; Information analysis module: used to receive data transmitted by the enterprise information preprocessing module, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis module; Comprehensive analysis module: used to receive data transmitted by the information analysis module, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment module; Includes comprehensive analysis unit; Comprehensive judgment module: obtains the preset comprehensive enterprise safety threshold, outputs a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmits the digital signal to the enterprise early warning module; Enterprise early warning module: According to the abnormal signals sent by the comprehensive judgment module, analyze the abnormal signals to obtain a visual interface and send it to the corresponding managers of the target enterprise; Database module: used to store the enterprise data of previous years in each sub-area within the target enterprise information area.

2. According to claim 1, a dynamic risk identification system for enterprise management is characterized by: The specific collection method of the production information collection unit is: the total inventory quantity of raw materials and the total purchase amount of raw materials in each sub-area within the target enterprise production information area are marked as Sc i , Sd i , where i represents the number of the i-th sub-area; the specific collection method of the employee information collection unit is: the total number of enterprise employees, employee wages and employee training time of each sub-area in the target enterprise employee information area are marked as Yw i , Yt i and Yj i , where i represents the number of the i-th sub-region; the specific collection method of the operation information collection unit is: the total amount of enterprise profit and the amount of enterprise debt of each sub-region in the target enterprise operation information region are marked as Qt i , Qp i , where i represents the number of the i-th sub-region.

3. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The pre-processing operation specifically includes: The formula for calculating the average total quantity of raw materials inventory is: Where SC represents the average total quantity of raw material inventory, Sc i Represents the total quantity of raw material inventory in the i-th sub-region. The formula for calculating the average total amount of raw material purchases is: Where SD represents the average total amount of raw material purchases, Sd i Represents the total amount of raw material purchases in the i-th sub-region. The formula for calculating the average number of seniority employees per month is: Where YW represents the average number of employees with seniority per month, Yw i Represents the total number of employees in the enterprise in the i-th sub-region. The formula for calculating the average amount of employee wages is: Where YT represents the average salary of employees, Yt i represents the employee salary in the i-th sub-region. The formula for calculating the average duration of employee training is: Where YJ represents the average duration of employee training, Yj i Represents the employee training duration of the i-th sub-area. The formula for calculating the average total amount of corporate profits is: Where QT represents the average total amount of corporate profits, Qt i Represents the total amount of corporate profits in the ith sub-region. The formula for calculating the growth rate of corporate debt is: Where QP represents the growth rate of corporate liabilities, Qp i-1 represents the amount of corporate debt in the i-1th sub-region, Qp i represents the amount of corporate debt in the ith sub-region. Before data collection, after preprocessing, Qp is excluded. i-1 With Qp i The values ​​are equal.

4. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The calculation formula of the enterprise inventory occupancy ratio coefficient is: Where S represents the enterprise inventory occupancy ratio coefficient, SC represents the average total quantity of raw material inventory, Sc i represents the total inventory of raw materials in the ith sub-region, SD represents the average total amount of raw material purchases, Sd i represents the total amount of raw material purchases for the ith sub-region, and n represents the total number of sub-regions.

5. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The calculation formula of the enterprise employee development stability coefficient is: Among them, Y represents the enterprise employee development stability coefficient, YW represents the average number of employees with seniority per month, and Yw i represents the total number of employees in the i-th sub-region, YT represents the average employee salary, YJ represents the average duration of employee training, and n represents the total number of sub-regions.

6. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The calculation formula of the enterprise operation stability coefficient is: Where Q represents the enterprise operation stability coefficient, QT represents the average total amount of enterprise profit, Qt i represents the total amount of corporate profits in the ith sub-region, QP represents the growth rate of corporate liabilities, and n represents the total number of sub-regions.

7. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The comprehensive analysis unit is used to establish a comprehensive analysis model, import the data transmitted by the receiving information analysis module into the comprehensive analysis model, and calculate the enterprise risk assessment index, which is specifically expressed as: Among them, η represents the enterprise risk assessment index, S represents the enterprise inventory occupancy ratio coefficient, Y represents the enterprise employee development stability coefficient, Q represents the enterprise operation stability state coefficient, α1, α2, α3 represent the enterprise risk weight coefficients and are all greater than zero, α1, α2, α3 and equal to one, and μ represents other influencing factors of the enterprise risk assessment index.

8. The risk dynamic identification system for enterprise management according to claim 1 is characterized by: The preset comprehensive enterprise safety threshold is recorded as Δη based on the enterprise comprehensive risk assessment value in previous years; the specific determination is as follows: A1: If η<Δη, that is, the enterprise risk assessment index is less than the preset comprehensive enterprise safety threshold, it means that the enterprise is in a safe signal area, and the enterprise's safety information is stored in the database module; A2: If η>Δη, that is, the enterprise risk assessment index is greater than the preset comprehensive enterprise safety threshold, an abnormal signal is issued and the enterprise early warning module is entered.

9. A method for dynamic risk identification for enterprise management, characterized by: A system for dynamically identifying risks for enterprise management, used to implement any one of claims 1 to 8, comprises the following steps: S1: Enterprise data area division: used for intelligent operation analysis of target enterprise data information, and divided into production information division unit, employee information division unit and operation information division unit; S2: Enterprise information collection: used to collect data from any sub-area in the enterprise data area division step; It includes production information collection unit, employee information collection unit and operation information collection unit; S3: Enterprise information preprocessing: receiving the data information transmitted by each unit in the enterprise information collection step, preprocessing each sub-area in each information area of ​​the target enterprise to obtain each data, and transmitting each data to the information analysis step; S4: Information analysis: used to receive data transmitted by the enterprise information preprocessing step, calculate the enterprise inventory occupancy ratio coefficient through the average total quantity of raw material inventory and the average total amount of raw material purchases, calculate the enterprise employee development stability coefficient through the average number of employees with seniority per month, the average amount of employee wages and the average duration of employee training, calculate the enterprise operation stability coefficient through the average total amount of enterprise profits and the growth rate of enterprise liabilities, and transmit the data to the comprehensive analysis step; S5: Comprehensive analysis: used to receive the data transmitted by the information analysis step, to establish a comprehensive analysis model, to import the data transmitted by the information analysis module into the comprehensive analysis model, to calculate the enterprise risk assessment index, and to transmit it to the comprehensive judgment step; S6: Comprehensive judgment: Obtain the preset comprehensive enterprise safety threshold, output a digital signal after comparing the comprehensive evaluation reasonable value with the preset comprehensive evaluation reasonable value, and transmit the digital signal to the risk warning step; S7: Risk warning: Based on the abnormal signals issued in the comprehensive judgment step, analyze the abnormal signals to obtain a visual interface and send it to the corresponding managers of the target enterprise.

Images