CN112801549A - Financial data management system based on big data - Google Patents

Financial data management system based on big data Download PDF

Info

Publication number
CN112801549A
CN112801549A CN202110300230.XA CN202110300230A CN112801549A CN 112801549 A CN112801549 A CN 112801549A CN 202110300230 A CN202110300230 A CN 202110300230A CN 112801549 A CN112801549 A CN 112801549A
Authority
CN
China
Prior art keywords
financial
enterprise
invoice
unit
staff
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110300230.XA
Other languages
Chinese (zh)
Other versions
CN112801549B (en
Inventor
唐秋芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanze Guangdong Technology Co ltd
Original Assignee
Nanze Guangdong Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanze Guangdong Technology Co ltd filed Critical Nanze Guangdong Technology Co ltd
Priority to CN202110300230.XA priority Critical patent/CN112801549B/en
Publication of CN112801549A publication Critical patent/CN112801549A/en
Application granted granted Critical
Publication of CN112801549B publication Critical patent/CN112801549B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/12Accounting
    • G06Q40/123Tax preparation or submission

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Technology Law (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

The invention discloses a financial data management system based on big data, which comprises a financial cost display module, a financial invoice management module, a financial data monitoring module, a financial authority distribution module and a central control module, wherein the financial cost display module is used for collecting fund chains of different enterprise investment projects and judging enterprise risk values, the financial data monitoring module is used for controlling the number of financial invoices according to the collected enterprise risk conditions and simultaneously checking whether the data on the invoices are real contents, the financial data monitoring module is used for tracking and monitoring uploaded taxes in real time, the financial authority distribution module is used for carrying out static and dynamic authority distribution on different division staff levels in a financial group, and the central control module is used for storing the analyzed enterprise risk values and the number of the invoices in the enterprise, and the tax detail to be submitted is checked, and the authority levels of different employees in the financial group are controlled.

Description

Financial data management system based on big data
Technical Field
The invention relates to the technical field of financial management, in particular to a financial data management system based on big data.
Background
The method is characterized in that a financial department exists in any enterprise, the financial department can determine the capital required for operation in daily production, participate in prediction and decision of enterprise operation to judge whether a current fund chain is broken or not and influence the operation of the enterprise, supervise and check various activities of the enterprise, manage the capital in production and operation of the company in real time, reasonably schedule the capital of the company, and judge monthly business limit and tax paid in the process of scheduling the capital, but more employees in the enterprise can falsely account on invoices to amplify the amount of the money and change the amount of the money, so that the company is burdened;
when a company pays taxes, a financial department does not check the transaction of each tax payment, so that the financial department cannot check the transaction, and the authenticity of data cannot be ensured;
therefore, a financial data management system based on big data is required to solve the above problems.
Disclosure of Invention
The present invention is directed to a financial data management system based on big data to solve the above problems.
In order to solve the technical problems, the invention provides the following technical scheme: a financial data management system based on big data comprises a financial cost display module, a financial invoice management module, a financial data monitoring module, a financial authority distribution module and a central control module, wherein the financial cost display module is used for collecting fund chains of different projects invested by enterprises and judging enterprise risk values so as to analyze the existing analysis condition of the enterprises, the financial data monitoring module is used for controlling the number of financial invoices according to the collected enterprise risk conditions and simultaneously checking whether the data on the invoices are real contents or not so as to check the authenticity, the financial data monitoring module is used for tracking and monitoring the uploaded tax data in real time so as to ensure the authenticity of the submitted tax, and the financial authority distribution module is used for carrying out static and dynamic authority distribution on different division staff levels in financial groups, the central control module is used for storing the analyzed enterprise risk value and the used number of the invoices in the enterprise, verifying tax details to be submitted and controlling the authority levels of different employees in the financial group;
the central control module is connected with the financial cost display module, the financial invoice management module, the financial data monitoring module and the financial authority distribution module;
furthermore, the financial cost display module comprises a financial information acquisition unit, a financial balance risk unit and a financial risk early warning unit, wherein the financial information acquisition unit is used for acquiring different invested projects and enterprise operation conditions of an enterprise, the financial balance risk unit is used for acquiring risk conditions of the enterprise caused by external environmental factors and internal factors so as to analyze the current conditions of the enterprise, and the financial risk early warning unit is used for sending an alarm to the central control module in time when detecting that the acquired risk conditions are lower than a preset value so as to prompt financial staff to check funds;
the external environmental factors refer to risk conditions of profit reduction and generation caused by displacement of the enterprises due to competition of other enterprises of the same type, the internal factors refer to investment risks and income distribution risks suffered by the enterprises, and the investment risks refer to capital risks of the enterprises caused by the fact that return of investment items is lower than expected investment rate or no investment income exists in a short time.
Further, the financial invoice management module comprises a financial invoice control unit, an invoice online checking unit, a picture checking and processing unit and an invoice summarizing unit, the financial invoice control unit is used for regulating and controlling the invoice amount and the invoice frequency reported by staff of an enterprise according to the investment situation of the company so as to deal with the risk situation encountered by the company at present, the invoice online checking unit is used for judging whether the invoice can be declared and recorded by the enterprise according to the current type of the invoice, the picture checking and processing unit is used for detecting the financial invoice amount reported by the staff when the amount of the invoice exceeds half of the department, meanwhile, the photo taken by the staff on duty is checked and judged for similarity, and whether a photo multi-purpose situation occurs is judged, so that whether the behavior of counterfeiting occurs to the staff is judged, the invoice summarizing unit is used for clearing the invoice reported every quarter, The invoices are not reported and the invoices cannot be reported and can be summarized, the invoices with corresponding quantity can be distributed and reported according to the running condition of enterprises in each season, and the output end of the financial invoice control unit is connected with the input end of the invoice online checking unit, the image checking and processing unit and the invoice summarizing unit.
Furthermore, according to the information collected by the central control module, the total investment of the current enterprise project is N, and after I month, the income value Y of the investment project is = N + N O%<YiWherein Y isiThe expected income value is shown, the income rate of the enterprise investment is shown, the enterprise is subjected to investment risk, the total amount of money received by the enterprise from different departments is L, and L is>Y+YNow that,YNow thatThe method refers to the existing fund, and according to the survey of big data, the amount of the reimbursement of enterprises in v months before investment is W = { W =1,w2,w3...wmAllocating according to the reimbursement amount of the risk born by the existing enterprise, allocating corresponding amount according to the reimbursement proportion of the enterprise to different departments, and setting the reimbursement proportion of the different departments to be Q = { Q }1,q2,q3...qmM means the mth department;
according to the formula: the method comprises the following steps that an independent variable v and a dependent variable W are provided, and the relation of a function is W = av + b;
Figure 610571DEST_PATH_IMAGE001
;
Figure 696207DEST_PATH_IMAGE002
;
Figure 468991DEST_PATH_IMAGE003
;
wherein: p is the error square value of the forecast enterprise invoice reimbursement, a and b are constants;
allocating the reimbursement amount in proportion to the total amount predicted
Figure 681798DEST_PATH_IMAGE004
Wherein w isiIs the sum of reimbursement amounts of each department, qkThe reimbursement proportion of the kth department, i is the ith department, f (v) is the reimbursement amount of the enterprise in the preceding v months of investment, qiThe method is characterized in that the method refers to the reimbursement proportion of the ith department, and when the central control module detects that the amount of money actually reimbursed by the department exceeds the preset amount, the invoice with the largest reimbursement face amount in the number of the invoices is selected and stored to be reimbursed in the next month.
Further, when f is detectedi>fkWhen f is presentiIs the amount reported by the staff in the department, fkThe method refers to the amount of money reimbursed by the department, and verifies the picture of the actual consumption place uploaded by the staff, wherein the verification steps are as follows:
z01: extracting corresponding features from the uploaded pictures;
z02: the cosine similarity is used for judging the uploaded picture and the picture stored in the central control module for verification;
in step Z01, the feature extraction step is:
z001: extracting feature points with unchanged picture size and rotation through a Gaussian function;
z002: determining the positions of the characteristic points in Z001, and marking as T = { T = { (T)1,t2,t3...tn};
Z003: judging the dimension direction and the scale of the found feature points, and simultaneously judging the corresponding feature vector value X = { X = X =1,x2,x3...xn};
In step Z02, the formula for determining the similarity is:
Figure 715482DEST_PATH_IMAGE005
when detecting
Figure 112965DEST_PATH_IMAGE006
When the trend is 1, the more similar the two vectors are, the uploaded picture isThe more similar the pictures stored in the central control module, when it is detected that
Figure 982832DEST_PATH_IMAGE006
Towards 0, indicating that the two vectors are not similar, indicating that the picture uploaded is not similar to the picture in the central control module, where A, B is a feature vector,
Figure 251527DEST_PATH_IMAGE007
is the similarity, n refers to the feature points.
The financial data monitoring module comprises a financial taxation submitting unit and a transaction message tracing unit, wherein the financial taxation submitting unit is used for controlling the tax payment amount according to the received reimbursement sum of different departments and the invoice number according to the current risk value of the enterprise so as to ease or control the current fund chain of the enterprise, and the transaction message tracing unit is used for monitoring in real time according to the beginning of the investment project of the enterprise to the end of the investment project so as to know the whole process of enterprise investment and not only the process of knowing the current enterprise risk by virtue of the invoice;
when the risk value of the enterprise is detected to exceed the preset risk value, the invoice quantity and the invoice amount are increased, and when the risk value of the enterprise is detected to be lower than the preset risk value, the invoice quantity and the invoice amount are normally distributed.
Further, the financial authority distributing module comprises a financial department static authority unit, a financial department dynamic authority unit and a financial authority security level unit, wherein the financial department static authority unit is used for adjusting and determining a content module for each employee to browse enterprise financial reports according to the authority of different employees in the current financial department so that each employee can respectively perform his own job in the financial department, the financial department dynamic authority unit is used for providing set time to distribute and supply the browse content for the employees when the employees in the financial department browse the work content of the authority of the current employees, the financial authority security level unit is used for checking whether the identity of the current browsing user is authorized and monitoring whether the current browsing is one person or not in real time when detecting that sensitive words appear in the browsed content of the employees, thereby ensuring the security of the current content, and the financial authority security level unit comprises a camera device, the camera device is used for monitoring a face image in front of the current equipment.
The steps of the financial authority assignment are as follows:
s01: recording the authority level of each employee in the financial department for browsing the data content of the financial department, judging the intersection degree of the content of each employee in the financial department and the content of the employees in the position, and partially alternating the authority level when detecting that the intersection degree of the employees and the surrounding employees is greater than the preset intersection degree;
s02: when detecting that the intersection degree of the staff member and the surrounding staff members is smaller than the preset intersection degree, determining the working contents of different staff members in the central control module and updating the working contents in real time, when the staff members apply to browse the contents which are compared with the authority of the current staff members, judging whether the browsed contents contain sensitive words and words of a financial department, and simultaneously setting the time t when the staff members start browsingiMonitoring the face image of the staff;
s03: detecting whether the characteristic value of the face image in the system is greatly changed or not in real time, judging whether the face image is still the current face image or not, wherein only one person exists in the content browsed at the same time, and the browsing time of the next staff needs t after the previous browsing is finishedkAnd the corresponding content cannot be modified in the browsing process.
The degree of intersection is the number k of sharing rights among employees, and the contents related to sharing among different employees { a1, a2, a3... am } are
Figure 280663DEST_PATH_IMAGE008
When detecting
Figure 458835DEST_PATH_IMAGE009
And
Figure 940631DEST_PATH_IMAGE010
judging staff member when the number of times of the related intersection content exceeds the preset number
Figure 744508DEST_PATH_IMAGE009
And
Figure 503517DEST_PATH_IMAGE010
can share the authority content and one staff member
Figure 977224DEST_PATH_IMAGE009
Login staff
Figure 70950DEST_PATH_IMAGE010
When the web page is displayed, the login password and the short message verification code of each employee need to be checked, wherein:
Figure 288305DEST_PATH_IMAGE009
is the number of the staff member i,
Figure 901820DEST_PATH_IMAGE010
is employee i +1, am is the mth employee, rmRefers to the mth content shared.
Compared with the prior art, the invention has the following beneficial effects:
1. the financial cost display module is used for acquiring the current operation condition of the enterprise and judging the current risk condition suffered by the enterprise according to the detected external environmental factors and internal environmental factors so as to judge whether invoice reimbursement and tax are required to be controlled and further reduce the burden on the enterprise;
2. the financial invoice management module is used for regulating and controlling the invoice amount and the invoice number of different departments in the enterprise according to the risk value received by the current company, specifically verifying the authenticity of the reported invoice and the real use condition of the invoice, and requiring department staff to check the similarity between the invoice and the picture stored by the central control module when the invoice is reimbursed, so that the condition that one picture is multipurpose is avoided, and the authenticity of reimbursement in the enterprise is ensured;
3. the financial data monitoring module is used, the quota and the trend of each tax payment of the enterprise can be checked, and the tax payment process is monitored in real time, so that the specific trend of the current fund chain of the enterprise can be known, and the risk value of the current enterprise is judged.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the module composition of a big data-based financial data management system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution:
the system comprises a financial cost display module, a financial invoice management module, a financial data monitoring module, a financial authority distribution module and a central control module, wherein the financial cost display module is used for collecting fund chains of different enterprise investment projects and judging enterprise risk values so as to analyze the existing analysis condition of an enterprise, the financial data monitoring module is used for controlling the number of financial invoices according to the collected enterprise risk conditions and simultaneously checking whether the data on the invoices are real contents or not so as to check the authenticity, the financial data monitoring module is used for tracking and monitoring the uploaded tax data in real time so as to ensure the authenticity of the delivered tax, the financial authority distribution module is used for carrying out static and dynamic authority distribution on different division work grades in a financial group so that employees in the financial group can browse the contents of different authority grades, the central control module is used for storing the analyzed enterprise risk value and the number of used invoices in the enterprise, verifying the tax details to be submitted and controlling the authority levels of different employees in the financial group;
the central control module is connected with the financial cost display module, the financial invoice management module, the financial data monitoring module and the financial authority distribution module.
The financial cost display module comprises a financial information acquisition unit, a financial balance risk unit and a financial risk early warning unit, wherein the financial information acquisition unit is used for acquiring different invested projects and enterprise operation conditions of an enterprise, the financial balance risk unit is used for acquiring risk conditions suffered by the enterprise due to external environmental factors and internal factors so as to analyze the current conditions of the enterprise, and the financial risk early warning unit is used for sending an alarm to the central control module in time when detecting that the acquired risk conditions are lower than a preset value so as to prompt financial staff to audit the fund;
the external environmental factors are risk conditions caused by profit reduction due to displacement of the enterprises caused by competition of other enterprises of the same type, the internal factors are investment risks and income distribution risks suffered by the enterprises, and the investment risks are capital risks caused by the enterprises due to the fact that return of investment items is lower than expected investment rate or no investment income exists in a short time;
the risk of revenue distribution refers to adverse effects brought by subsequent operation and management of revenue distribution to enterprises, and is the last link of the cycle of the revenue distribution enterprises.
The financial invoice management module comprises a financial invoice control unit, an invoice online checking unit, a picture checking and processing unit and an invoice summarizing unit, wherein the financial invoice control unit is used for regulating and controlling invoice amount and invoice frequency reported by staff of an enterprise according to the investment situation of the company so as to deal with the risk situation encountered by the company, the invoice online checking unit is used for judging whether reporting and recording can be carried out through the enterprise according to the current type of the invoice, the picture checking and processing unit is used for detecting that the financial invoice amount reported by the staff exceeds half of the department, meanwhile, the photo shot by the staff is checked and judged for similarity, and judging whether a photo multi-purpose situation occurs or not so as to judge whether a counterfeit behavior occurs or not, the invoice summarizing unit is used for clearing the invoice reported by the staff according to each season, and the invoice summarizing unit, The invoices are not reported and the invoices cannot be reported and can be summarized, the invoices with corresponding quantity can be distributed to be reported according to the operation condition of enterprises in each season, and the output end of the financial invoice control unit is connected with the input end of the invoice online checking unit and the image checking and processing unit;
the method is characterized in that enterprise staff can use invoices to reimburse expenses in many enterprises, the expenses capable of being reimbursed comprise value-added tax invoices and common invoices, the company head-up name needs to be filled in the head-up position when the invoices are reimbursed, related expenses can be reimbursed only if the name in the head-up position of the invoices is a personal user, the company cannot reimburse the expenses, vehicle expense expenses used by the staff when the staff goes on business can be reimbursed, the staff can falsify the expenses when the staff reimburses the expenses, personal consumption is contained in the enterprises, the reimbursement expenses are applied to the enterprises, the more false invoices are accumulated in the enterprises, the more profits of the enterprises are reduced relatively, and therefore the real conditions of the invoices need to be carefully checked.
According to the information collected by the central control module, the total investment N of the current enterprise invested projects is obtained, and after I month, the income value Y = N + N O%<YiWherein Y isiThe expected income value is shown, the income rate of the enterprise investment is shown, the enterprise is subjected to investment risk, the total amount of money received by the enterprise from different departments is L, and L is>Y+YNow that,YNow thatThe method refers to the existing fund, and according to the survey of big data, the amount of the reimbursement of enterprises in v months before investment is W = { W =1,w2,w3...wmAllocating according to the reimbursement amount of the risk born by the existing enterprise, allocating corresponding amount according to the reimbursement proportion of the enterprise to different departments, and setting the reimbursement proportion of the different departments to be Q = { Q }1,q2,q3...qmM means the mth department;
according to the formula: the method comprises the following steps that an independent variable v and a dependent variable W are provided, and the relation of a function is W = av + b;
Figure 812007DEST_PATH_IMAGE001
;
Figure 393030DEST_PATH_IMAGE002
Figure 289442DEST_PATH_IMAGE003
;
wherein: p is the error square value of the forecast enterprise invoice reimbursement, a and b are constants;
allocating the reimbursement amount in proportion to the total amount predicted
Figure 147677DEST_PATH_IMAGE004
Wherein w isiIs the sum of reimbursement amounts of each department, qkIs the reimbursement proportion of the kth department, qiThe method is characterized in that the method refers to the reimbursement proportion of the ith department, i refers to the ith department, f (v) refers to the reimbursement amount of the enterprise in the previous v months of investment, and when the central control module detects that the amount of the actual reimbursement of the departments exceeds the preset amount, the invoice with the largest reimbursement denomination in the invoice number is selected and stored to be reimbursed in the next month;
because the investment risk of enterprise leads to the income value of capital project to be far less than and predetermines the income value, consequently, utilize the formula to predict the enterprise to the amount of reimbursement amount of money in the past this time needs the maximum range of reimbursement amount, thereby can reduce the burden that reimbursement brought to the inauguration enterprise, through setting up the proportion of reimbursement in different departments, can reduce the enterprise and place the staff member in the middle of the enterprise and reimburse too much for the risk situation that the enterprise brought, when verifying that the invoice does not report the false account, can keep unnecessary invoice to next month and reimburse, so that can alleviate the burden that brings the enterprise.
When f is detectedi>fkWhen f is presentiIs the amount reported by the staff in the department, fkThe actual amount of the invoice reported by the department is uploaded to the staffVerifying the picture of the consumption place, wherein the verification steps are as follows:
z01: extracting corresponding features from the uploaded pictures;
z02: the cosine similarity is used for judging the uploaded picture and the picture stored in the central control module for verification;
in step Z01, the feature extraction step is:
z001: extracting feature points with unchanged picture size and rotation through a Gaussian function;
the detected feature point position needs to be in a place where the illumination is not obvious, and the found feature point position needs to be in the positions of angular points, edge points, bright points of dark areas and the like, so that the similarity value of the selected picture can be better judged, and when the feature point is extracted, a Gaussian blur function (image filter) needs to be used, and the standard deviation of normal distribution in a multi-dimensional space is subjected to standard deviation
Figure 84890DEST_PATH_IMAGE011
Judging the fuzzy value of the image so as to achieve the aim of blurring the image;
after a Gaussian filter carries out filtering to find out feature points, the positions and the scales of key points are accurately determined through a multidimensional function, the detected feature points are all feature points of a discrete space, curve fitting needs to be carried out on the multidimensional feature points in order to improve the stability of the feature points, so that the real feature point positions can be found out in the multidimensional space, corresponding reference directions are allocated to each feature point according to the detected feature points, local reversal is judged by using an image gradient method, and the gradient and the direction of pixels are allocated according to the determined feature points;
therefore, the vector of each feature point can be determined according to the position, the scale and the direction of the feature point, the direction of the neighborhood value near the feature point is judged and sampled, meanwhile, a bilinear difference algorithm is used, the radius of the area is set for the image, the image is rotated to the x-axis direction according to the direction of the feature point, the coordinate value of the feature point in the coordinate axis is determined according to the direction, the gradient size is calculated according to the direction of the feature point, and therefore the position of the feature point is H = { H =1,h2,h3...hmComparing the feature points stored in the central control module by using a corresponding formula so as to finally judge the similarity;
z002: determining the positions of the characteristic points in Z001, and marking as T = { T = { (T)1,t2,t3...tn};
The position of each characteristic point is positioned, so that the scale (dimension) of the selected position is judged to judge the position of each characteristic point, corresponding coordinates are marked, the stability of each characteristic point can be judged,
z003: judging the dimension direction and the scale of the found feature points, and simultaneously judging the corresponding feature vector value X = { X = X =1,x2,x3...xn};
In step Z02, the formula for determining the similarity is:
Figure 28575DEST_PATH_IMAGE005
when detecting
Figure 463099DEST_PATH_IMAGE006
When the trend is 1, the more similar the two vectors are, the more similar the uploaded picture is to the picture stored in the central control module, and when the detection result shows that
Figure 566053DEST_PATH_IMAGE006
Towards 0, indicating that the two vectors are not similar, indicating that the picture uploaded is not similar to the picture in the central control module, where A, B is a feature vector,
Figure 552463DEST_PATH_IMAGE007
is similarity, n refers to feature points;
the similarity of the feature points in the picture can be judged by using a cosine similarity formula, so that whether staff in an enterprise have multiple purposes in one picture can be judged, and whether the invoice data is manufactured or not can be judged.
The financial data monitoring module comprises a financial taxation submitting unit and a transaction message tracing unit, wherein the financial taxation submitting unit is used for controlling the tax payment amount according to the received reimbursement sum of different departments and the invoice number according to the current risk value of the enterprise so as to ease or control the current fund chain of the enterprise, and the transaction message tracing unit is used for monitoring in real time according to the beginning of the investment project of the enterprise to the end of the investment project so as to know the whole process of enterprise investment and not only the process of knowing the current enterprise risk by virtue of the invoice;
when the risk value of the enterprise is detected to exceed the preset risk value, the invoice quantity and the invoice amount are increased, and when the risk value of the enterprise is detected to be lower than the preset risk value, the invoice quantity and the invoice amount are normally distributed;
the process of the enterprise investment project can be judged through tracing the invoice, so that the major wind direction of enterprise investment can be prevented, the size of the taxes paid by the enterprise can be distinguished, and whether the taxes paid in different time periods need to be controlled or not can be judged;
the financial authority distributing module comprises a financial department static authority unit, a financial department dynamic authority unit and a financial authority security level unit, wherein the financial department static authority unit is used for adjusting and determining a content module for each staff member to browse enterprise financial reports according to the authority of different staff members of the current financial department so that each staff member can respectively perform own job in the financial department, the financial department dynamic authority unit is used for providing set time to distribute and supply staff members to browse contents when staff members of the financial department browse the working contents of the authority of the current staff members, the financial authority security level unit is used for checking whether the identity of a current browsing user is authorized and monitoring whether the current browsing user is one person or not in real time when detecting that sensitive words appear in the contents browsed by the staff members, thereby ensuring the security of the current contents, and the financial authority security level unit comprises a camera device, the camera device is used for monitoring a face image in front of the current equipment.
The steps of the financial authority assignment are as follows:
s01: recording the authority level of each employee in the financial department for browsing the data content of the financial department, judging the intersection degree of the content of each employee in the financial department and the content of the employees in the position, and partially alternating the authority level when detecting that the intersection degree of the employees and the surrounding employees is greater than the preset intersection degree;
s02: when detecting that the intersection degree of the staff member and the surrounding staff members is smaller than the preset intersection degree, determining the working contents of different staff members in the central control module and updating the working contents in real time, when the staff members apply to browse the contents which are compared with the authority of the current staff members, judging whether the browsed contents contain sensitive words and words of a financial department, and simultaneously setting the time t when the staff members start browsingiMonitoring the face image of the staff;
s03: detecting whether the characteristic value of the face image in the system is greatly changed or not in real time, judging whether the face image is still the current face image or not, wherein only one person exists in the content browsed at the same time, and the browsing time of the next staff needs t after the previous browsing is finishedkAnd the corresponding content cannot be modified in the browsing process.
The degree of intersection is the number k of sharing rights among employees, and the contents related to sharing among different employees { a1, a2, a3... am } are
Figure 593232DEST_PATH_IMAGE008
When detecting
Figure 690501DEST_PATH_IMAGE012
And
Figure 913541DEST_PATH_IMAGE010
judging staff member when the number of times of the related intersection content exceeds the preset number
Figure 70852DEST_PATH_IMAGE012
And
Figure 864496DEST_PATH_IMAGE010
can share the authority content and one staff member
Figure 155669DEST_PATH_IMAGE012
Login staff
Figure 843002DEST_PATH_IMAGE010
When the web page is displayed, the login password and the short message verification code of each employee need to be checked, wherein:
Figure 46582DEST_PATH_IMAGE012
is the number of the staff member i,
Figure 186576DEST_PATH_IMAGE010
is employee i +1, am is the mth employee, rmRefers to the mth content shared;
the authority level among different employees can be adjusted in time through the number of times and the content shared among different employees, and the dynamic of the authority can be intelligently adjusted.
Example 1: according to the information collected by the central control module, the total investment of the current enterprise invested projects is N =100 ten thousand, and the income value Y = N + N O%<YiWherein Y isiThe expected income value is shown, the income rate of the enterprise investment is shown, the enterprise is subjected to investment risk, the total amount of money received by the enterprise from different departments is L =150 ten thousand, and L>Y+YNow that,YNow thatThe existing fund is 20 ten thousand, according to the survey of big data, the amount of the reimbursement of different departments before the investment of an enterprise is v = {4,3}, is W1={w11=5 ten thousand, w12W =20 ten thousand }, W2={w21=8 ten thousand, w22And the ratio of reimbursement of different departments is set to be Q = { Q }, so that the risk reimbursement amounts born by the existing enterprises are distributed according to the reimbursement amounts of risks born by the existing enterprises, corresponding amounts are distributed according to reimbursement ratios of the enterprises to the different departments, and the reimbursement ratios of the different departments are set to be Q = { Q =1,q2,q3}={
Figure 18790DEST_PATH_IMAGE013
The buffering period of the investment projects of the enterprises is 5 months;
according to the formula: y =100+100 × 0.02=102 ten thousand<150 million, the company is exposed to significant investment risk, detecting L>Y+YNow thatTherefore, the amount of reimbursement needs to be controlled;
the method comprises the following steps that an independent variable v and a dependent variable W are provided, and the relation of a function is W = av + b;
Figure 435996DEST_PATH_IMAGE014
Figure 200690DEST_PATH_IMAGE015
Figure 952614DEST_PATH_IMAGE016
thus, it follows that: a =0.5, b = 15;
thus, W =0.5vi+15, substituting v =5 into the above formula, W =17.5 ten thousand, the total amount of reimbursement for different departments is 17.5 ten thousand,
wherein: p is the error square value of the forecast enterprise invoice reimbursement, a and b are constants;
distributing reimbursement money according to the predicted total money and different departments according to proportions as follows:
Figure 336322DEST_PATH_IMAGE017
Figure 998248DEST_PATH_IMAGE018
Figure 792897DEST_PATH_IMAGE019
according to the detection, D3S over 17.5 million, and therefore, the invoice amount for the third department needs to be adjusted.
Wherein, wiIs the sum of reimbursement amounts of each department, qkIs the reimbursement proportion of the kth department, i is the ith department, qiThe reimbursement proportion of the ith department, f (v) the reimbursement amount of the enterprise in the preceding v months, and when the central control module detects that the actual reimbursement amount of the department exceeds the preset amount, selecting the reimbursement surface in the invoice numberStoring the invoice with the largest amount until the invoice is reimbursed in the next month;
it is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A big data based financial data management system, characterized by: the system comprises a financial cost display module, a financial invoice management module, a financial data monitoring module, a financial authority distribution module and a central control module, wherein the financial cost display module is used for collecting fund chains of different enterprise investments and judging enterprise risk values, the financial data monitoring module is used for controlling the number of financial invoices according to the collected enterprise risk conditions and simultaneously checking whether the data on the invoices are real contents or not, the financial data monitoring module is used for tracking and monitoring the uploaded tax data in real time, the financial authority distribution module is used for performing static and dynamic authority distribution on different division staff in a financial group, the central control module is used for storing the analyzed enterprise risk values and the number of the invoices in the enterprise and verifying tax details to be submitted, controlling the authority levels of different employees in the financial group;
the central control module is connected with the financial cost display module, the financial invoice management module, the financial data monitoring module and the financial authority distribution module;
the financial cost display module comprises a financial information acquisition unit, a financial balance risk unit and a financial risk early warning unit, wherein the financial information acquisition unit is used for acquiring different invested projects of an enterprise and enterprise operation conditions, the financial balance risk unit is used for acquiring risk conditions suffered by the enterprise due to external environmental factors and internal factors, and the financial risk early warning unit is used for sending an alarm to the central control module in time when the acquired risk conditions are detected to be lower than a preset value;
the external environmental factors refer to risk conditions of profit reduction and generation caused by displacement of the enterprises due to competition of other enterprises of the same type, the internal factors refer to investment risks and income distribution risks suffered by the enterprises, and the investment risks refer to capital risks of the enterprises caused by the fact that return of investment items is lower than expected investment rate or no investment income exists in a short time.
2. A big-data based financial data management system as claimed in claim 1, wherein: the financial invoice management module comprises a financial invoice control unit, an invoice online checking unit, a picture checking and processing unit and an invoice summarizing unit, wherein the financial invoice control unit is used for regulating and controlling the invoice amount and the invoice frequency reported by staff of an enterprise according to the investment situation of a company, the invoice online checking unit is used for judging whether the invoice can be declared and recorded by the enterprise according to the current type of the invoice, the picture checking and processing unit is used for detecting that the financial invoice amount reported by the staff exceeds half of the department, simultaneously checking and judging the similarity of photos shot by the staff when the staff are on duty, and judging whether a photo multipurpose situation occurs, the invoice summarizing unit is used for clearing the reported invoice, not reported invoice and the type of the invoice can not be reported according to each season, and can distribute the corresponding number of invoices to be reported according to the operation situation of the enterprise in each season, the output end of the financial invoice control unit is connected with the input end of the invoice on-line checking unit, the image checking and processing unit and the invoice summarizing unit.
3. A big-data based financial data management system as claimed in claim 2, wherein: according to the information collected by the central control module, the total investment N of the current enterprise invested projects is obtained, and after I month, the income value Y = N + N O%<YiWherein Y isiThe expected income value is shown, the income rate of the enterprise investment is shown, the enterprise is subjected to investment risk, the total amount of money received by the enterprise from different departments is L, and L is>Y+YNow that,YNow thatThe method refers to the existing fund, and according to the survey of big data, the amount of the reimbursement of enterprises in v months before investment is W = { W =1,w2,w3...wmAllocating according to the reimbursement amount of the risk born by the existing enterprise, allocating corresponding amount according to the reimbursement proportion of the enterprise to different departments, and setting the reimbursement proportion of the different departments to be Q = { Q }1,q2,q3...qmM means the mth department;
according to the formula: the method comprises the following steps that an independent variable v and a dependent variable W are provided, and the relation of a function is W = av + b;
Figure 24555DEST_PATH_IMAGE001
;
Figure 785706DEST_PATH_IMAGE002
;
Figure 672891DEST_PATH_IMAGE003
;
wherein: p is the error square value of the forecast enterprise invoice reimbursement, a and b are constants;
allocating the reimbursement amount in proportion to the total amount predicted
Figure 27649DEST_PATH_IMAGE004
Wherein w isiIs the sum of reimbursement amounts of each department, qkThe reimbursement proportion of the kth department, i the ith department, f (v) the reimbursement amount of the enterprise in the preceding v months of investment, qiThe method is characterized in that the method refers to the reimbursement proportion of the ith department, and when the central control module detects that the amount of money actually reimbursed by the department exceeds the preset amount, the invoice with the largest reimbursement face amount in the number of the invoices is selected and stored to be reimbursed in the next month.
4. A big-data based financial data management system as claimed in claim 2, wherein: when f is detectedi>fkWhen f is presentiIs the amount reported by the staff in the department, fkThe method refers to the amount of money reimbursed by the department, and verifies the picture of the actual consumption place uploaded by the staff, wherein the verification steps are as follows:
z01: extracting corresponding features from the uploaded pictures;
z02: the cosine similarity is used for judging the uploaded picture and the picture stored in the central control module for verification;
in step Z01, the feature extraction step is:
z001: extracting feature points with unchanged picture size and rotation through a Gaussian function;
z002: determining the positions of the characteristic points in Z001, and marking as T = { T = { (T)1,t2,t3...tn};
Z003: judging the dimension direction and the scale of the found feature points, and simultaneously judging the corresponding feature vector value X = { X = X =1,x2,x3...xn};
In step Z02, the formula for determining the similarity is:
Figure 274960DEST_PATH_IMAGE005
when detecting
Figure 765984DEST_PATH_IMAGE006
When the trend is 1, the more similar the two vectors are, the more similar the uploaded picture is to the picture stored in the central control module, and when the detection result shows that
Figure 89649DEST_PATH_IMAGE006
Towards 0, indicating that the two vectors are not similar, indicating that the picture uploaded is not similar to the picture in the central control module, where A, B is a feature vector,
Figure 525178DEST_PATH_IMAGE007
is the similarity, n refers to the feature points.
5. A big-data based financial data management system as claimed in claim 1, wherein: the financial data monitoring module comprises a financial taxation submitting unit and a transaction message tracing unit, wherein the financial taxation submitting unit is used for controlling the tax payment amount according to the received reimbursement sum of different departments and the invoice number according to the current risk value of the enterprise so as to ease or control the current fund chain of the enterprise, and the transaction message tracing unit is used for monitoring in real time according to the beginning of the investment project of the enterprise to the end of the investment project so as to know the whole process of enterprise investment and not only the process of knowing the current enterprise risk by virtue of the invoice;
when the risk value of the enterprise is detected to exceed the preset risk value, the invoice quantity and the invoice amount are increased, and when the risk value of the enterprise is detected to be lower than the preset risk value, the invoice quantity and the invoice amount are normally distributed.
6. A big-data based financial data management system as claimed in claim 1, wherein: the financial authority distributing module comprises a financial department static authority unit, a financial department dynamic authority unit and a financial authority security level unit, the static authority unit of the financial department is used for adjusting and determining a content module for each employee to browse the enterprise financial report according to the authority of different employees of the current financial department, the dynamic authority unit of the financial department is used for providing set time for staff to distribute and provide browsing content when staff of the financial department browses the working content of the authority of the current staff, the financial authority security level unit is used for checking whether the identity of the current browsing user is authorized or not when detecting that sensitive words appear in the contents browsed by the staff, and whether the current browsing is one person or not is monitored in real time, wherein the financial authority security level unit comprises a camera device, and the camera device is used for monitoring a face image in front of the current equipment.
7. A big-data based financial data management system as claimed in claim 6, wherein: the steps of the financial authority assignment are as follows:
s01: recording the authority level of each employee in the financial department for browsing the data content of the financial department, judging the intersection degree of the content of each employee in the financial department and the content of the employees in the position, and partially alternating the authority level when detecting that the intersection degree of the employees and the surrounding employees is greater than the preset intersection degree;
s02: when detecting that the intersection degree of the staff member and the surrounding staff members is smaller than the preset intersection degree, determining the working contents of different staff members in the central control module and updating the working contents in real time, when the staff members apply to browse the contents which are compared with the authority of the current staff members, judging whether the browsed contents contain sensitive words and words of a financial department, and simultaneously setting the time t when the staff members start browsingiMonitoring the face image of the staff;
s03: detecting whether the characteristic value of the face image in the system is greatly changed or not in real time, judging whether the face image is still the current face image or not, wherein only one person exists in the content browsed at the same time, and the browsing time of the next staff needs t after the previous browsing is finishedkAnd the corresponding content cannot be modified in the browsing process.
8. A big-data based financial data management system as claimed in claim 7, wherein: the degree of intersection is the number k of sharing rights among employees, and the contents related to sharing among different employees { a1, a2, a3... am } are
Figure 451546DEST_PATH_IMAGE008
When detecting
Figure 672443DEST_PATH_IMAGE009
And
Figure 26064DEST_PATH_IMAGE010
judging staff member when the number of times of the related intersection content exceeds the preset number
Figure 234976DEST_PATH_IMAGE009
And
Figure 965035DEST_PATH_IMAGE010
can share the authority content and one staff member
Figure 306018DEST_PATH_IMAGE009
Login staff
Figure 955174DEST_PATH_IMAGE010
When the web page is displayed, the login password and the short message verification code of each employee need to be checked, wherein:
Figure 506241DEST_PATH_IMAGE009
is the number of the staff member i,
Figure 915356DEST_PATH_IMAGE010
is employee i +1, am is the mth employee, rmRefers to the mth content shared.
CN202110300230.XA 2021-03-22 2021-03-22 Financial data management system based on big data Active CN112801549B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110300230.XA CN112801549B (en) 2021-03-22 2021-03-22 Financial data management system based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110300230.XA CN112801549B (en) 2021-03-22 2021-03-22 Financial data management system based on big data

Publications (2)

Publication Number Publication Date
CN112801549A true CN112801549A (en) 2021-05-14
CN112801549B CN112801549B (en) 2021-07-30

Family

ID=75817281

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110300230.XA Active CN112801549B (en) 2021-03-22 2021-03-22 Financial data management system based on big data

Country Status (1)

Country Link
CN (1) CN112801549B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113298632A (en) * 2021-06-16 2021-08-24 武汉行健道信息技术有限公司 Intelligent financial management system based on mobile internet and data characteristic analysis
CN113538134A (en) * 2021-07-27 2021-10-22 天元大数据信用管理有限公司 Method, equipment and medium for monitoring regional risk spread
CN113781234A (en) * 2021-08-25 2021-12-10 刘天翠 Asset investment information analysis and processing platform based on big data
CN114997684A (en) * 2022-06-16 2022-09-02 上海起策教育科技有限公司 Financial data safety management system
CN115170269A (en) * 2022-09-06 2022-10-11 南泽(广东)科技股份有限公司 Financial reimbursement management system based on big data
CN115205005A (en) * 2022-07-18 2022-10-18 北京合盛众泰管理咨询服务有限公司 Tax information analysis system and method based on big data

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004348487A (en) * 2003-05-22 2004-12-09 Capital Asset Planning Inc System for optimizing pension portfolio
CN102790761A (en) * 2012-06-13 2012-11-21 浙江浙大中控信息技术有限公司 Regional medical treatment information system and access authority control method
CN104866933A (en) * 2015-06-12 2015-08-26 方武 Method and device for adjusting production structure in industrial production performed by computer
CN110942379A (en) * 2019-11-20 2020-03-31 国网电子商务有限公司 High-safety fund classification management system
CN111310422A (en) * 2018-12-10 2020-06-19 珠海格力电器股份有限公司 Method and device for filling in form, storage medium and terminal
CN111507628A (en) * 2020-04-20 2020-08-07 上海京济通信技术有限公司 Financial risk early warning processing system
CN111815424A (en) * 2020-07-09 2020-10-23 北京中百信信息技术股份有限公司 Information system engineering supervision project cost accounting management system
CN111950826A (en) * 2019-05-16 2020-11-17 辽宁工程技术大学 Enterprise financial risk management system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004348487A (en) * 2003-05-22 2004-12-09 Capital Asset Planning Inc System for optimizing pension portfolio
CN102790761A (en) * 2012-06-13 2012-11-21 浙江浙大中控信息技术有限公司 Regional medical treatment information system and access authority control method
CN104866933A (en) * 2015-06-12 2015-08-26 方武 Method and device for adjusting production structure in industrial production performed by computer
CN111310422A (en) * 2018-12-10 2020-06-19 珠海格力电器股份有限公司 Method and device for filling in form, storage medium and terminal
CN111950826A (en) * 2019-05-16 2020-11-17 辽宁工程技术大学 Enterprise financial risk management system
CN110942379A (en) * 2019-11-20 2020-03-31 国网电子商务有限公司 High-safety fund classification management system
CN111507628A (en) * 2020-04-20 2020-08-07 上海京济通信技术有限公司 Financial risk early warning processing system
CN111815424A (en) * 2020-07-09 2020-10-23 北京中百信信息技术股份有限公司 Information system engineering supervision project cost accounting management system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CANGJUEXIAN1991: "企业常见税务风险及表现形式"", 《HTTPS://WWW.DOCIN.COM/P-1398863579.HTML》 *
王一丁等著: "《数字图像处理》", 31 August 2015, 西安电子科技大学出版社 *
罗贝加著: "《全图解!真账实操教你学会计》", 31 March 2018, 中国铁道出版社 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113298632A (en) * 2021-06-16 2021-08-24 武汉行健道信息技术有限公司 Intelligent financial management system based on mobile internet and data characteristic analysis
CN113298632B (en) * 2021-06-16 2022-04-19 北京司库立方科技有限公司 Intelligent financial management system based on mobile internet and data characteristic analysis
CN113538134A (en) * 2021-07-27 2021-10-22 天元大数据信用管理有限公司 Method, equipment and medium for monitoring regional risk spread
CN113538134B (en) * 2021-07-27 2024-04-16 天元大数据信用管理有限公司 Method, equipment and medium for monitoring regional risk spread
CN113781234A (en) * 2021-08-25 2021-12-10 刘天翠 Asset investment information analysis and processing platform based on big data
CN114997684A (en) * 2022-06-16 2022-09-02 上海起策教育科技有限公司 Financial data safety management system
CN115205005A (en) * 2022-07-18 2022-10-18 北京合盛众泰管理咨询服务有限公司 Tax information analysis system and method based on big data
CN115170269A (en) * 2022-09-06 2022-10-11 南泽(广东)科技股份有限公司 Financial reimbursement management system based on big data

Also Published As

Publication number Publication date
CN112801549B (en) 2021-07-30

Similar Documents

Publication Publication Date Title
CN112801549B (en) Financial data management system based on big data
CN108090823A (en) accounting data management system based on SaaS
US8706615B2 (en) Systems and methods for evaluating the ability of borrowers to repay loans
CN109658217B (en) Intelligent financial decision big data analysis system
US20050222928A1 (en) Systems and methods for investigation of financial reporting information
CN112801529B (en) Financial data analysis method and device, electronic equipment and medium
US7856389B2 (en) Dynamic book yield analysis
Stone et al. Daily cash forecasting: a simple method for implementing the distribution approach
Epstein et al. IFRS policies and procedures
Dermine et al. Bank loan-loss provisioning, central bank rules vs. estimation: The case of Portugal
JP6760875B2 (en) Account management equipment and programs
JP6760874B2 (en) Information processing equipment and programs
Peasnell A note on the discounted present value concept
CN113191872A (en) Non-standard behavior judgment method based on bank flow balance and balance overlap ratio
JP6766023B2 (en) Information processing equipment and programs
JP7016394B2 (en) Information processing equipment and programs
JP2965944B2 (en) Funding processing system, funding processing method, and recording medium recording funding processing execution program
US20040249731A1 (en) Methods and systems for automatic evaluation of balance sheet objects
JP7049417B2 (en) Account management equipment and programs
JP2002092321A (en) Credit grading method, storage medium, and credit grading device
Babbel Evaluating pension insurance pricing
Šupuković et al. Abuse of Creative Accounting in Practical Application
Hrosova Ways of detection of creative accounting in a global economy
JP2009104658A (en) Credit risk rating device
JP2003150766A (en) Credit rating method, its device, recording medium, and program

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A financial data management system based on big data

Granted publication date: 20210730

Pledgee: Bank of China Limited by Share Ltd. Guangzhou Panyu branch

Pledgor: NANZE (GUANGDONG) TECHNOLOGY Co.,Ltd.

Registration number: Y2024980001685

PE01 Entry into force of the registration of the contract for pledge of patent right