Computer financial management method and system based on big data

Abstract

The embodiment of the invention relates to the technical field of financial management, and particularly discloses a computer financial management method and system based on big data. According to the embodiment of the invention, a target enterprise employee and a corresponding target mobile terminal are selected; triggering identification of enterprise related invoices; judging whether a preprocessing level is met or not; when the pre-processing level is met, receiving the fed back direct pre-processing invoice, and carrying out invoice financial arrangement; and when the invoice does not accord with the preprocessing level, receiving the feedback auxiliary preprocessing invoice, and carrying out invoice financial arrangement. The method can obtain invoice management authority of a target mobile terminal, trigger identification of enterprise related invoices, receive feedback direct pre-processing invoices when pre-processing levels are met, and match auxiliary enterprise employees, receive feedback auxiliary pre-processing invoices and perform invoice financial arrangement when the enterprise related invoices do not meet the pre-processing levels. Therefore, the preprocessed enterprise-related invoices can be automatically obtained, and omission of the enterprise-related invoices can be effectively avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of financial management, and in particular relates to a computer financial management method and system based on big data. Background Art

[0002] Computer financial management is a method of processing, analyzing and managing financial information using computer technology and related software. It uses computer systems and financial management software to automatically process financial data, analyze financial conditions, formulate budgets and financial plans, and generate relevant reports and analysis results.

[0003] With the development and popularization of computer technology, computer financial management has become an indispensable part of modern enterprise financial management.

[0004] Invoice management of enterprises is one of the most common scenarios in financial management. In the existing technology, invoice management of enterprises requires employees to actively submit invoices, identify and screen invoices, and then sort and process them. However, it is impossible to automatically obtain relevant invoices of enterprises. In addition to the very strict enterprise reimbursement system, it is easy to miss relevant invoices of enterprises. Summary of the invention

[0005] The purpose of the embodiments of the present invention is to provide a computer financial management method and system based on big data, aiming to solve the problems raised in the background technology.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A computer financial management method based on big data, the method specifically comprising the following steps: Obtain enterprise employee information, select target enterprise employees and corresponding target mobile terminals, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal; Obtain the invoice management authority of the target mobile terminal through the temporary authority communication, and trigger the identification of enterprise-related invoices; Extracting target employee information of the target enterprise employees from the enterprise employee information, performing employee rank analysis, and determining whether the employee meets the pre-processing rank; When the pre-processing level is met, the invoices related to the target enterprise are directly pre-processed and interacted with the employees of the target enterprise, the direct pre-processed invoices are fed back, and the invoices are financially sorted; When the pre-processing rank is not met, an auxiliary enterprise employee is matched, and the enterprise-related invoices are forwarded to the auxiliary enterprise employee for auxiliary pre-processing interaction, the feedback of the auxiliary pre-processing invoice is received, and the invoice financial arrangement is carried out.

[0007] As a further limitation of the technical solution of the embodiment of the present invention, the steps of obtaining enterprise employee information, selecting target enterprise employees and corresponding target mobile terminals, obtaining mobile terminal communication data, and establishing temporary permission communication with the target mobile terminal specifically include the following steps: Obtain enterprise employee information and financial management needs; According to the enterprise employee information and the financial management requirements, select target enterprise employees and corresponding target mobile terminals; Extracting mobile terminal communication data of the target mobile terminal from the enterprise employee information; Determining whether a temporary communication scenario is met based on the mobile terminal communication data; When the temporary communication scenario is met, a temporary permission communication is established with the target mobile terminal.

[0008] As a further limitation of the technical solution of the embodiment of the present invention, the obtaining of the invoice management authority of the target mobile terminal through the temporary authority communication and triggering the identification of enterprise-related invoices specifically include the following steps: Sending an invoice permission application to the target mobile terminal through the temporary permission communication; After the invoice authority application is approved, obtaining the invoice management authority of the target mobile terminal; Perform invoice monitoring on the target mobile terminal to determine whether there is trigger information; When there is trigger information, the trigger identifies the enterprise-related invoice.

[0009] As a further limitation of the technical solution of the embodiment of the present invention, extracting the target employee information of the target enterprise employees from the enterprise employee information, performing employee rank analysis, and determining whether the employee meets the pre-processing rank specifically includes the following steps: Extracting target employee information of the target enterprise employees from the enterprise employee information; Identify the target employee information and determine the target employee's rank; Get preprocessing rank; The target employee's rank is compared with the pre-processed rank to determine whether the target enterprise employee meets the pre-processed rank.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, when the pre-processing level is met, directly pre-processing the invoices related to the enterprise with the employees of the target enterprise, receiving the directly pre-processed invoices fed back, and performing financial sorting of the invoices specifically include the following steps: Receive direct pre-processing requests when eligible for pre-processing rank; Creating a direct preprocessing interface at the target mobile terminal according to the direct preprocessing request; Through the direct pre-processing interface, interact with the target enterprise employees to directly pre-process the invoices related to the enterprise; Receive direct pre-processed invoices and conduct financial sorting of invoices.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, when the pre-processing rank is not met, matching the auxiliary enterprise employee, forwarding the enterprise-related invoice to the auxiliary enterprise employee for auxiliary pre-processing interaction, receiving the feedback of the auxiliary pre-processing invoice, and performing invoice financial sorting specifically include the following steps: Matching auxiliary enterprise employees when they do not meet the pre-processing job level; Forwarding the enterprise-related invoices to the auxiliary enterprise employees; Receiving an auxiliary preprocessing request from the auxiliary enterprise employee; According to the auxiliary preprocessing request, creating an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee; Through the auxiliary pre-processing interface, interact with the auxiliary enterprise staff to perform auxiliary pre-processing on the enterprise-related invoices; Receive feedback, assist in pre-processing invoices, and perform financial sorting of invoices.

[0012] A computer financial management system based on big data, the system comprises a temporary communication construction unit, an invoice trigger recognition unit, a pre-processing rank judgment unit, a direct pre-processing interaction unit and an auxiliary pre-processing interaction unit, wherein: A temporary communication construction unit is used to obtain enterprise employee information, select a target enterprise employee and a corresponding target mobile terminal, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal; An invoice triggering and identifying unit, used to obtain the invoice management authority of the target mobile terminal through the temporary authority communication, and trigger the identification of enterprise-related invoices; A pre-processing job grade judgment unit is used to extract the target employee information of the target enterprise employee from the enterprise employee information, perform employee job grade analysis, and judge whether the employee meets the pre-processing job grade; A direct preprocessing interaction unit is used to interact with the target enterprise employees on the invoices related to the enterprise directly when the preprocessing rank is met, receive the directly preprocessed invoices fed back, and perform financial sorting of the invoices; The auxiliary preprocessing interaction unit is used to match auxiliary enterprise employees when the preprocessing rank is not met, forward the enterprise-related invoices to the auxiliary enterprise employees for auxiliary preprocessing interaction, receive feedback on the auxiliary preprocessing invoices, and perform financial sorting of the invoices.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, the temporary communication construction unit specifically includes: Demand acquisition module, used to obtain enterprise employee information and financial management needs; A target selection module, used to select target enterprise employees and corresponding target mobile terminals according to the enterprise employee information and the financial management requirements; A data extraction module, used to extract the mobile terminal communication data of the target mobile terminal from the enterprise employee information; A scenario judgment module, used to judge whether a temporary communication scenario is met according to the mobile terminal communication data; The communication building module is used to build temporary permission communication with the target mobile terminal when the temporary communication scenario is met.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the invoice trigger identification unit specifically includes: A permission application module, used to send an invoice permission application to the target mobile terminal through the temporary permission communication; The authority acquisition module is used to obtain the invoice management authority of the target mobile terminal after the invoice authority application is approved; A trigger judgment module, used to monitor the invoice of the target mobile terminal and judge whether there is trigger information; The trigger identification module is used to trigger and identify enterprise-related invoices when there is trigger information.

[0015] As a further limitation of the technical solution of the embodiment of the present invention, the auxiliary preprocessing interaction unit specifically includes: Auxiliary matching module, used to match auxiliary enterprise employees when they do not meet the pre-processing job level; An invoice forwarding module, used to forward the enterprise-related invoices to the auxiliary enterprise staff; A request receiving module, used for receiving the auxiliary pre-processing request of the auxiliary enterprise employee; An interface creation module, used for creating an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee according to the auxiliary preprocessing request; A pre-processing interaction module, used to interact with the auxiliary enterprise staff through the auxiliary pre-processing interface to perform auxiliary pre-processing on the enterprise-related invoices; The financial arrangement module is used to receive feedback, assist in pre-processing invoices, and perform financial arrangement of invoices.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The embodiment of the present invention selects the target enterprise employee and the corresponding target mobile terminal; triggers the identification of enterprise-related invoices; determines whether the pre-processing rank is met; when the pre-processing rank is met, receives the feedback of the direct pre-processing invoice, and performs invoice financial arrangement; when the pre-processing rank is not met, receives the feedback of the auxiliary pre-processing invoice, and performs invoice financial arrangement. It is possible to obtain the invoice management authority of the target mobile terminal, trigger the identification of enterprise-related invoices, receive the feedback of the direct pre-processing invoice when the pre-processing rank is met, and when the pre-processing rank is not met, match the auxiliary enterprise employee, receive the feedback of the auxiliary pre-processing invoice, and perform invoice financial arrangement, so as to automatically obtain the enterprise-related invoices after pre-processing, and effectively avoid the omission of enterprise-related invoices. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0018] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0019] Figure 2 A flow chart of constructing temporary authority communication in the method provided by an embodiment of the present invention is shown.

[0020] Figure 3 A flow chart of triggering and identifying enterprise-related invoices in the method provided by an embodiment of the present invention is shown.

[0021] Figure 4 A flow chart of pre-processing job grade judgment in the method provided by an embodiment of the present invention is shown.

[0022] Figure 5 A flow chart of direct preprocessing interaction processing in the method provided by an embodiment of the present invention is shown.

[0023] Figure 6 A flow chart of auxiliary preprocessing interaction processing in the method provided by an embodiment of the present invention is shown.

[0024] Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0025] Figure 8 A structural block diagram of a temporary communication building unit in a system provided by an embodiment of the present invention is shown.

[0026] Fig. 9 The structure block diagram of the invoice trigger identification unit in the system provided by the embodiment of the present invention is shown.

[0027] Fig.10The structure block diagram of the auxiliary preprocessing interaction unit in the system provided by the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0029] It is understandable that the invoice management of an enterprise is one of the most common scenarios in financial management. In the existing technology, the invoice management of an enterprise requires employees to actively submit invoices, identify and screen invoices, and then perform subsequent sorting and processing, but it is impossible to automatically obtain the relevant invoices of the enterprise. In addition to the very strict enterprise reimbursement system, it is easy to miss the relevant invoices of the enterprise.

[0030] To solve the above problems, the embodiments of the present invention obtain enterprise employee information, select target enterprise employees and corresponding target mobile terminals, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal; through temporary permission communication, obtain the invoice management authority of the target mobile terminal, trigger the identification of enterprise-related invoices; extract the target employee information of the target enterprise employees from the enterprise employee information, perform employee rank analysis, and determine whether they meet the pre-processing rank; when they meet the pre-processing rank, directly pre-process the enterprise-related invoices with the target enterprise employees, receive feedback of the direct pre-processed invoices, and perform invoice financial sorting; when they do not meet the pre-processing rank, match the auxiliary enterprise employees, forward the enterprise-related invoices to the auxiliary enterprise employees for auxiliary pre-processing interaction, receive feedback of the auxiliary pre-processed invoices, and perform invoice financial sorting. It can obtain the invoice management authority of the target mobile terminal, trigger the identification of enterprise-related invoices, and receive feedback of direct pre-processed invoices when the pre-processing level is met. When the pre-processing level is not met, it matches auxiliary enterprise employees, receives feedback of auxiliary pre-processed invoices, and performs invoice financial sorting, so as to automatically obtain enterprise-related invoices after pre-processing and effectively avoid omission of enterprise-related invoices.

[0031] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0032] Specifically, a computer financial management method based on big data, the method specifically includes the following steps: Step S101, obtain enterprise employee information, select target enterprise employees and corresponding target mobile terminals, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal.

[0033] In an embodiment of the present invention, by obtaining enterprise employee information and financial management needs, and then performing demand target analysis on the enterprise employee information and financial management needs, target enterprise employees and corresponding target mobile terminals are selected, and then the mobile terminal communication data of the target mobile terminal is extracted from the enterprise employee information, and a temporary communication scenario is judged based on the mobile terminal communication data. When it is determined that the temporary communication scenario is met, temporary permission communication with the target mobile terminal is established, wherein the mobile terminal communication data may be a mobile communication address, including WiFi, Bluetooth and other addresses; the temporary communication scenario may be a communication distance with an authorized communication location in the enterprise.

[0034] Specifically, Figure 2 A flow chart of constructing temporary authority communication in the method provided by an embodiment of the present invention is shown.

[0035] Among them, in the preferred implementation mode provided by the present invention, the steps of obtaining enterprise employee information, selecting target enterprise employees and corresponding target mobile terminals, obtaining mobile terminal communication data, and establishing temporary permission communication with the target mobile terminal specifically include the following steps: Step S1011, obtaining enterprise employee information and financial management requirements; Step S1012, selecting target enterprise employees and corresponding target mobile terminals according to the enterprise employee information and the financial management requirements; Step S1013, extracting the mobile terminal communication data of the target mobile terminal from the enterprise employee information; Step S1014, judging whether a temporary communication scenario is met according to the mobile terminal communication data; Step S1015: when the temporary communication scenario is met, establish temporary permission communication with the target mobile terminal.

[0036] Further, judging whether the temporary communication scenario is met according to the mobile terminal communication data specifically includes the following steps: Obtaining mobile terminal communication address, mobile terminal signal and authorized communication location data; Calculate the first Euclidean distance between the mobile terminal communication address and the permission location, evaluate the mobile terminal signal, and obtain the signal mean; The Euclidean distance and signal mean between the mobile terminal communication address and the permission position are used as the single device communication data, the single device communication data is multiplied by the corresponding weight factor, and then these weighted results are summed and weighted to obtain the comprehensive device communication result; Calculate a first signal attenuation index according to the first Euclidean distance, integrate the first signal attenuation index in the time interval, and obtain a comprehensive measure of the time dimension; The comprehensive result of device communication and the comprehensive measurement combination of the time dimension are sent to the step function to judge the temporary communication scenario. If the comprehensive result is greater than or equal to 0, 1 is output, indicating that the temporary communication scenario is met. If the comprehensive result is less than 0, 0 is output, indicating that the temporary communication scenario is not met.

[0037] Furthermore, the computer financial management method based on big data also includes the following steps: Step S102, obtaining the invoice management authority of the target mobile terminal through the temporary authority communication, triggering the identification of enterprise-related invoices.

[0038] In an embodiment of the present invention, an invoice permission application is generated, and then the invoice permission application is sent to the target mobile terminal through temporary permission communication. After the invoice permission application is approved, the invoice management permission of the target mobile terminal is obtained, and then on the basis of having the invoice management permission, the invoice monitoring of the target mobile terminal is performed to determine whether there is trigger information. In the case of trigger information, the identification of enterprise-related invoices is triggered, wherein the trigger information may be the enterprise's invoice title, tax number, etc.

[0039] Specifically, Figure 3 A flow chart of triggering and identifying enterprise-related invoices in the method provided by an embodiment of the present invention is shown.

[0040] Among them, in the preferred implementation mode provided by the present invention, the acquisition of the invoice management authority of the target mobile terminal through the temporary authority communication and the triggering of the identification of the enterprise-related invoices specifically include the following steps: Step S1021, sending an invoice permission application to the target mobile terminal through the temporary permission communication; Step S1022, after the invoice authority application is approved, obtaining the invoice management authority of the target mobile terminal; Step S1023, monitoring the target mobile terminal for invoices to determine whether there is trigger information; Step S1024, when there is trigger information, trigger the identification of enterprise-related invoices.

[0041] Furthermore, performing invoice monitoring on the target mobile terminal to determine whether there is a trigger information body includes the following steps: Obtain invoice information data vector and trigger information vector; Square each element of the invoice information data vector, add up the squares of all elements, and get the sum of the squares of the invoice information vector; Calculate the difference vector between the trigger information vector and the invoice information data vector, square each element of the difference vector, and then perform accumulation and square root operations in sequence to obtain the second Euclidean distance; Calculating a second signal attenuation index according to the second Euclidean distance; The second signal attenuation index plus 1 is used as the first denominator term, and the sum of the squares of the invoice information vector is divided by the first denominator term to obtain the degree of influence of the invoice information on the trigger condition; A logarithmic function is used to capture the nonlinear effect of the trigger information vector, and then the nonlinear effect result is multiplied element by element with the invoice information data vector to obtain the element-by-element multiplication result, and then the element-by-element multiplication result is summed to obtain the comprehensive result of the nonlinear interaction relationship between the invoice information and the trigger information; Set a trigger threshold, add the impact of the invoice information on the trigger conditions and the comprehensive results of the nonlinear interaction relationship. When the added result exceeds the trigger threshold, it is determined that there is trigger information, otherwise continue monitoring.

[0042] Furthermore, the computer financial management method based on big data also includes the following steps: Step S103, extracting target employee information of the target enterprise employees from the enterprise employee information, performing employee rank analysis, and determining whether the employee meets the pre-processing rank.

[0043] In an embodiment of the present invention, target employee information of target enterprise employees is extracted from enterprise employee information, the target employee rank of the target enterprise employee is determined by identifying the target employee information, and the pre-processed rank is obtained. By comparing the target employee rank with the pre-processed rank, it is determined whether the target enterprise employee meets the pre-processed rank.

[0044] Specifically, Figure 4 A flow chart of pre-processing job grade judgment in the method provided by an embodiment of the present invention is shown.

[0045] Among them, in the preferred implementation mode provided by the present invention, extracting the target employee information of the target enterprise employees from the enterprise employee information, performing employee rank analysis, and judging whether the pre-processing rank is met specifically comprises the following steps: Step S1031, extracting target employee information of employees of the target enterprise from the enterprise employee information; Step S1032, identifying the target employee information and determining the target employee's rank; Step S1033, obtaining the pre-processing rank; Step S1034, comparing the target employee's rank with the pre-processed rank to determine whether the target enterprise employee meets the pre-processed rank.

[0046] Furthermore, comparing the target employee's rank with the pre-processed rank to determine whether the target enterprise employee meets the pre-processed rank includes the following steps: Obtaining the target employee's job grade vector, the pre-processed job grade vector, the target employee's experience vector, the pre-processed job grade's experience requirement vector, and the performance vector; Calculate the square of the difference between the target employee's rank vector and the preprocessed rank vector; Calculate the difference between the experience vector of the target employee and the experience requirement vector of the pre-processed job level, and calculate a third signal attenuation index according to the difference between the experience vector of the target employee and the experience requirement vector of the pre-processed job level; The third signal attenuation index plus 1 is used as the second denominator, the square of the difference between the target employee's rank vector and the preprocessed rank vector is divided by the second denominator, and the results are weighted and summed to obtain a weighted rank difference score; Perform logarithmic transformation on the performance vector, and perform element-by-element multiplication of the result with the target employee's rank vector. Then perform sum operation on the element-by-element multiplication result to obtain the comprehensive result of the nonlinear interactive relationship between performance and rank matching. The third signal attenuation index plus 1 is used as the third denominator, the comprehensive result of the nonlinear interaction relationship between performance and job level matching is divided by the third denominator, and the result is weighted to obtain the performance adjustment score; The weighted job grade difference score and the performance adjustment score are added together as the final score. A scoring threshold is set. Based on the value of the comprehensive score, it is determined whether the target employee meets the pre-processing job grade requirements. If the score exceeds the threshold, the target employee is considered to meet the pre-processing job grade requirements. Otherwise, he / she does not meet the requirements.

[0047] Furthermore, the computer financial management method based on big data also includes the following steps: Step S104, when the pre-processing level is met, direct pre-processing interaction is performed with the target enterprise employees on the enterprise-related invoices, feedback of the direct pre-processing invoices is received, and the invoices are financially sorted.

[0048] In an embodiment of the present invention, if the pre-processing rank is met, before the target enterprise employee uploads the enterprise-related invoice, a direct pre-processing request from the target enterprise employee is received, and then a direct pre-processing interface is created on the target mobile terminal based on the direct pre-processing request, and then through the direct pre-processing interface, direct pre-processing interaction is performed with the target enterprise employee on the enterprise-related invoice. Afterwards, the direct pre-processed invoice fed back by the target enterprise employee through the target mobile terminal is received, and the invoice financial arrangement is performed.

[0049] Specifically, Figure 5 A flow chart of direct preprocessing interaction processing in the method provided by an embodiment of the present invention is shown.

[0050] Among them, in the preferred implementation mode provided by the present invention, when the pre-processing rank is met, directly pre-processing the invoices related to the enterprise with the employees of the target enterprise, receiving the directly pre-processed invoices fed back, and performing the invoice financial arrangement specifically include the following steps: Step S1041, receiving a direct preprocessing request when the preprocessing level is met; Step S1042, creating a direct preprocessing interface on the target mobile terminal according to the direct preprocessing request; Step S1043, performing direct pre-processing interaction on the invoices related to the enterprise with the employees of the target enterprise through the direct pre-processing interface; Step S1044, receiving the directly pre-processed invoices fed back, and performing financial sorting of the invoices.

[0051] Furthermore, the computer financial management method based on big data also includes the following steps: Step S105, when the pre-processing rank is not met, matching auxiliary enterprise employees, forwarding the enterprise-related invoices to the auxiliary enterprise employees for auxiliary pre-processing interaction, receiving feedback of the auxiliary pre-processing invoices, and performing financial sorting of the invoices.

[0052] In an embodiment of the present invention, in the case of not meeting the pre-processing rank, an auxiliary enterprise employee who is a superior of the target enterprise employee and meets the pre-processing rank is matched, and the enterprise-related invoices are forwarded to the auxiliary enterprise employee, and then before the auxiliary enterprise employee uploads the enterprise-related invoices, the auxiliary pre-processing request of the auxiliary enterprise employee is received, and then according to the auxiliary pre-processing request, an auxiliary pre-processing interface is created on the auxiliary mobile terminal of the auxiliary enterprise employee, and then through the auxiliary pre-processing interface, auxiliary pre-processing interaction is performed on the enterprise-related invoices with the auxiliary enterprise employee, and then, the auxiliary pre-processing invoices fed back by the auxiliary enterprise employee through the auxiliary mobile terminal are received, and the invoice financial arrangement is performed.

[0053] Specifically, Figure 6 A flow chart of auxiliary preprocessing interaction processing in the method provided by an embodiment of the present invention is shown.

[0054] Among them, in the preferred implementation mode provided by the present invention, when the pre-processing rank is not met, matching the auxiliary enterprise employee, forwarding the enterprise-related invoice to the auxiliary enterprise employee for auxiliary pre-processing interaction, receiving the feedback of the auxiliary pre-processing invoice, and performing invoice financial sorting specifically include the following steps: Step S1051, when the pre-processing job level is not met, matching auxiliary enterprise employees; Step S1052, forwarding the enterprise-related invoices to the auxiliary enterprise staff; Step S1053, receiving the auxiliary pre-processing request of the auxiliary enterprise employee; Step S1054, creating an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee according to the auxiliary preprocessing request; Step S1055, interacting with the auxiliary enterprise staff through the auxiliary pre-processing interface to perform auxiliary pre-processing on the enterprise-related invoices; Step S1056, receiving the feedback of the auxiliary pre-processing invoice and performing financial sorting of the invoice.

[0055] Furthermore, Figure 7 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0056] Among them, in another preferred embodiment provided by the present invention, a computer financial management system based on big data includes: The temporary communication building unit 101 is used to obtain enterprise employee information, select a target enterprise employee and a corresponding target mobile terminal, obtain mobile terminal communication data, and build a temporary permission communication with the target mobile terminal.

[0057] In an embodiment of the present invention, the temporary communication construction unit 101 obtains enterprise employee information and financial management requirements, performs demand target analysis on the enterprise employee information and financial management requirements, selects target enterprise employees and corresponding target mobile terminals, and then extracts mobile terminal communication data of the target mobile terminal from the enterprise employee information, and makes a judgment on whether the temporary communication scenario is satisfied based on the mobile terminal communication data. When it is determined that the temporary communication scenario is satisfied, a temporary permission communication with the target mobile terminal is constructed, wherein the mobile terminal communication data may be a mobile communication address, including WiFi, Bluetooth and other addresses; the temporary communication scenario may be a communication distance with an authorized communication location in the enterprise.

[0058] Specifically, Figure 8 It shows a structural block diagram of the temporary communication building unit 101 in the system provided by the embodiment of the present invention.

[0059] Among them, in the preferred implementation manner provided by the present invention, the temporary communication construction unit 101 specifically includes: The demand acquisition module 1011 is used to obtain enterprise employee information and financial management needs; A target selection module 1012 is used to select target enterprise employees and corresponding target mobile terminals according to the enterprise employee information and the financial management requirements; The data extraction module 1013 is used to extract the mobile terminal communication data of the target mobile terminal from the enterprise employee information; A scenario determination module 1014 is used to determine whether a temporary communication scenario is met based on the mobile terminal communication data; The communication building module 1015 is used to build temporary permission communication with the target mobile terminal when the temporary communication scenario is met.

[0060] Furthermore, the computer financial management system based on big data also includes: The invoice triggering and identifying unit 102 is used to obtain the invoice management authority of the target mobile terminal through the temporary authority communication, and trigger the identification of enterprise-related invoices.

[0061] In an embodiment of the present invention, the invoice trigger identification unit 102 generates an invoice permission application, and then sends the invoice permission application to the target mobile terminal through temporary permission communication. After the invoice permission application is approved, the invoice management permission of the target mobile terminal is obtained, and then on the basis of having the invoice management permission, the invoice is monitored on the target mobile terminal to determine whether there is trigger information. In the case of trigger information, the identification of enterprise-related invoices is triggered, wherein the trigger information may be the enterprise's invoice title, tax number, etc.

[0062] Specifically, Fig. 9 It shows a structural block diagram of the invoice trigger identification unit 102 in the system provided by the embodiment of the present invention.

[0063] In the preferred embodiment of the present invention, the invoice trigger identification unit 102 specifically includes: The authority application module 1021 is used to send an invoice authority application to the target mobile terminal through the temporary authority communication; The authority acquisition module 1022 is used to obtain the invoice management authority of the target mobile terminal after the invoice authority application is approved; A trigger determination module 1023 is used to monitor the invoice of the target mobile terminal and determine whether there is trigger information; The trigger identification module 1024 is used to trigger and identify enterprise-related invoices when there is trigger information.

[0064] Furthermore, the computer financial management system based on big data also includes: The pre-processing job grade judgment unit 103 is used to extract the target employee information of the target enterprise employee from the enterprise employee information, perform employee job grade analysis, and judge whether the employee meets the pre-processing job grade.

[0065] In an embodiment of the present invention, the pre-processing job grade judgment unit 103 extracts target employee information of target enterprise employees from enterprise employee information, determines the target employee job grade of the target enterprise employee by identifying the target employee information, and obtains the pre-processing job grade, and determines whether the target enterprise employee meets the pre-processing job grade by comparing the target employee job grade with the pre-processing job grade.

[0066] The direct preprocessing interaction unit 104 is used to interact with the target enterprise employees on the enterprise-related invoices directly preprocessed when the preprocessing level is met, receive the feedback of the direct preprocessed invoices, and perform financial sorting of the invoices.

[0067] In an embodiment of the present invention, when the preprocessing rank is met, before the target enterprise employee uploads the enterprise-related invoice, the direct preprocessing interaction unit 104 receives the direct preprocessing request of the target enterprise employee, and then creates a direct preprocessing interface on the target mobile terminal based on the direct preprocessing request, and then conducts direct preprocessing interaction with the target enterprise employee on the enterprise-related invoice through the direct preprocessing interface, and then receives the direct preprocessing invoice fed back by the target enterprise employee through the target mobile terminal, and performs financial sorting of the invoice.

[0068] The auxiliary preprocessing interaction unit 105 is used to match auxiliary enterprise employees when the preprocessing rank is not met, forward the enterprise-related invoices to the auxiliary enterprise employees for auxiliary preprocessing interaction, receive feedback of auxiliary preprocessing invoices, and perform financial sorting of invoices.

[0069] In an embodiment of the present invention, in the case of not meeting the preprocessing rank, the auxiliary preprocessing interaction unit 105 matches the superior of the target enterprise employee and an auxiliary enterprise employee who meets the preprocessing rank, forwards the enterprise-related invoices to the auxiliary enterprise employee, and then receives the auxiliary preprocessing request of the auxiliary enterprise employee before the auxiliary enterprise employee uploads the enterprise-related invoices, and then creates an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee according to the auxiliary preprocessing request, and then performs auxiliary preprocessing interaction on the enterprise-related invoices with the auxiliary enterprise employee through the auxiliary preprocessing interface, and then receives the auxiliary preprocessing invoices fed back by the auxiliary enterprise employee through the auxiliary mobile terminal, and performs financial sorting of the invoices.

[0070] Specifically, Fig.10 It shows a structural block diagram of the auxiliary pre-processing interaction unit 105 in the system provided by an embodiment of the present invention.

[0071] Among them, in the preferred embodiment provided by the present invention, the auxiliary preprocessing interaction unit 105 specifically includes: The auxiliary matching module 1051 is used to match auxiliary enterprise employees when they do not meet the pre-processing job level; An invoice forwarding module 1052, used to forward the enterprise-related invoices to the auxiliary enterprise staff; The request receiving module 1053 is used to receive the auxiliary pre-processing request of the auxiliary enterprise employee; An interface creation module 1054 is used to create an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee according to the auxiliary preprocessing request; The pre-processing interaction module 1055 is used to interact with the auxiliary enterprise staff through the auxiliary pre-processing interface to perform auxiliary pre-processing on the enterprise-related invoices; The financial arrangement module 1056 is used to receive the feedback of the auxiliary pre-processing invoice and perform financial arrangement of the invoice.

[0072] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0073] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0074] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0075] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0076] 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 and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A computer financial management method based on big data, characterized in that: The method specifically comprises the following steps: Obtain enterprise employee information, select target enterprise employees and corresponding target mobile terminals, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal; Obtain the invoice management authority of the target mobile terminal through the temporary authority communication, and trigger the identification of enterprise-related invoices; Extracting target employee information of the target enterprise employees from the enterprise employee information, performing employee rank analysis, and determining whether the employee meets the pre-processing rank; When the pre-processing level is met, the invoices related to the target enterprise are directly pre-processed and interacted with the employees of the target enterprise, the direct pre-processed invoices are fed back, and the invoices are financially sorted; When the pre-processing level is not met, the auxiliary enterprise employee is matched, the relevant invoices of the enterprise are forwarded to the auxiliary enterprise employee for auxiliary pre-processing interaction, the feedback of the auxiliary pre-processing invoice is received, and the invoice financial arrangement is performed; The steps of obtaining enterprise employee information, selecting target enterprise employees and corresponding target mobile terminals, obtaining mobile terminal communication data, and establishing temporary permission communication with the target mobile terminal specifically include the following steps: Obtain enterprise employee information and financial management needs; According to the enterprise employee information and the financial management requirements, select target enterprise employees and corresponding target mobile terminals; Extracting mobile terminal communication data of the target mobile terminal from the enterprise employee information; Determining whether a temporary communication scenario is met based on the mobile terminal communication data; When the temporary communication scenario is met, a temporary permission communication is established with the target mobile terminal.

2. A computer financial management method based on big data according to claim 1, characterized in that: According to the mobile terminal communication data, determining whether the temporary communication scenario is met specifically includes the following steps: Obtain mobile terminal communication address, mobile terminal signal and authorized communication location data; Calculate the first Euclidean distance between the mobile terminal communication address and the authorized communication location, evaluate the mobile terminal signal, and obtain the signal mean; The first Euclidean distance and the signal mean are used as the communication data of a single device, and the communication data of each device is weighted and summed to obtain the comprehensive result of device communication; Calculate a first signal attenuation index according to the first Euclidean distance, integrate the first signal attenuation index in the time interval, and obtain a comprehensive measure of the time dimension; The comprehensive result of device communication and the comprehensive measurement combination of the time dimension are sent to the step function to judge the temporary communication scenario. If the comprehensive result is greater than or equal to 0, 1 is output, indicating that the temporary communication scenario is met; if the comprehensive result is less than 0, 0 is output, indicating that the temporary communication scenario is not met.

3. A computer financial management method based on big data according to claim 2, characterized in that: The method of obtaining the invoice management authority of the target mobile terminal through the temporary authority communication and triggering the identification of enterprise-related invoices specifically includes the following steps: Sending an invoice permission application to the target mobile terminal through the temporary permission communication; After the invoice authority application is approved, obtaining the invoice management authority of the target mobile terminal; Perform invoice monitoring on the target mobile terminal to determine whether there is trigger information; When there is trigger information, the trigger identifies the enterprise-related invoice.

4. A computer financial management method based on big data according to claim 3, characterized in that: The method of monitoring the target mobile terminal for invoices and determining whether there is trigger information specifically comprises the following steps: Obtain invoice information data vector and trigger information vector; Square each element of the invoice information data vector, add up the squares of all elements, and get the sum of the squares of the invoice information vector; Calculate the difference vector between the trigger information vector and the invoice information data vector, square each element of the difference vector, and then perform accumulation and square root operations in sequence to obtain the second Euclidean distance; Calculating a second signal attenuation index according to the second Euclidean distance; The second signal attenuation index plus 1 is used as the first denominator term, and the sum of the squares of the invoice information vector is divided by the first denominator term to obtain the degree of influence of the invoice information on the trigger condition; A logarithmic function is used to capture the nonlinear effect of the trigger information vector, and then the nonlinear effect result is multiplied element by element with the invoice information data vector to obtain the element-by-element multiplication result, and then the element-by-element multiplication result is summed to obtain the comprehensive result of the nonlinear interaction relationship between the invoice information and the trigger information; Set a trigger threshold, add the impact of the invoice information on the trigger conditions and the comprehensive results of the nonlinear interaction relationship. When the added result exceeds the trigger threshold, it is determined that there is trigger information, otherwise continue monitoring.

5. A computer financial management method based on big data according to claim 4, characterized in that: The step of extracting target employee information of the target enterprise employees from the enterprise employee information, analyzing the employee's rank, and determining whether the employee meets the pre-processing rank specifically includes the following steps: Extracting target employee information of the target enterprise employees from the enterprise employee information; Identify the target employee information and determine the target employee's rank; Get preprocessing rank; The target employee's rank is compared with the pre-processed rank to determine whether the target enterprise employee meets the pre-processed rank.

6. A computer financial management method based on big data according to claim 5, characterized in that: Comparing the target employee's rank with the pre-processed rank to determine whether the target enterprise employee meets the pre-processed rank includes the following steps: Obtaining the target employee's job grade vector, the pre-processed job grade vector, the target employee's experience vector, the pre-processed job grade's experience requirement vector, and the performance vector; Calculate the square of the difference between the target employee's rank vector and the preprocessed rank vector; Calculate the difference between the experience vector of the target employee and the experience requirement vector of the pre-processed job level, and calculate a third signal attenuation index according to the difference between the experience vector of the target employee and the experience requirement vector of the pre-processed job level; The third signal attenuation index plus 1 is used as the second denominator, the square of the difference between the target employee's rank vector and the preprocessed rank vector is divided by the second denominator, and the results are weighted and summed to obtain a weighted rank difference score; Perform logarithmic transformation on the performance vector, and perform element-by-element multiplication of the result with the target employee's rank vector. Then perform sum operation on the element-by-element multiplication result to obtain the comprehensive result of the nonlinear interactive relationship between performance and rank matching. The third signal attenuation index plus 1 is used as the third denominator, the comprehensive result of the nonlinear interaction relationship between performance and job level matching is divided by the third denominator, and the result is weighted to obtain the performance adjustment score; The weighted job grade difference score and the performance adjustment score are added together as the final score. A scoring threshold is set. Based on the value of the comprehensive score, it is determined whether the target employee meets the pre-processing job grade requirements. If the score exceeds the threshold, the target employee is considered to meet the pre-processing job grade requirements. Otherwise, he / she does not meet the requirements.

7. A computer financial management method based on big data according to claim 6, characterized in that: When the pre-processing level is met, the direct pre-processing interaction with the target enterprise employees on the enterprise-related invoices, receiving the feedback of the direct pre-processing invoices, and performing the invoice financial arrangement specifically includes the following steps: Receive direct pre-processing requests when eligible for pre-processing rank; Creating a direct preprocessing interface at the target mobile terminal according to the direct preprocessing request; Through the direct pre-processing interface, interact with the target enterprise employees to directly pre-process the invoices related to the enterprise; Receive direct pre-processed invoices and conduct financial sorting of invoices.

8. A computer financial management method based on big data according to claim 7, characterized in that: When the pre-processing rank is not met, matching the auxiliary enterprise employee, forwarding the enterprise-related invoice to the auxiliary enterprise employee for auxiliary pre-processing interaction, receiving the feedback of the auxiliary pre-processing invoice, and performing invoice financial sorting specifically includes the following steps: Matching auxiliary enterprise employees when they do not meet the pre-processing job level; Forwarding the enterprise-related invoices to the auxiliary enterprise employees; Receiving an auxiliary preprocessing request from the auxiliary enterprise employee; According to the auxiliary preprocessing request, creating an auxiliary preprocessing interface on the auxiliary mobile terminal of the auxiliary enterprise employee; Through the auxiliary pre-processing interface, interact with the auxiliary enterprise staff to perform auxiliary pre-processing on the enterprise-related invoices; Receive feedback, assist in pre-processing invoices, and perform financial sorting of invoices.

9. A computer financial management system based on big data, characterized in that: The system applies the computer financial management method based on big data according to any one of claims 1 to 8, and the system includes a temporary communication construction unit, an invoice trigger recognition unit, a pre-processing rank judgment unit, a direct pre-processing interaction unit and an auxiliary pre-processing interaction unit, wherein: A temporary communication construction unit is used to obtain enterprise employee information, select a target enterprise employee and a corresponding target mobile terminal, obtain mobile terminal communication data, and establish temporary permission communication with the target mobile terminal; An invoice triggering and identifying unit, used to obtain the invoice management authority of the target mobile terminal through the temporary authority communication, and trigger the identification of enterprise-related invoices; A pre-processing job grade judgment unit is used to extract the target employee information of the target enterprise employee from the enterprise employee information, perform employee job grade analysis, and judge whether the employee meets the pre-processing job grade; A direct preprocessing interaction unit is used to interact with the target enterprise employees on the invoices related to the enterprise directly when the preprocessing rank is met, receive the directly preprocessed invoices fed back, and perform financial sorting of the invoices; The auxiliary preprocessing interaction unit is used to match auxiliary enterprise employees when the preprocessing rank is not met, forward the enterprise-related invoices to the auxiliary enterprise employees for auxiliary preprocessing interaction, receive feedback on the auxiliary preprocessing invoices, and perform financial sorting of the invoices.

10. A computer financial management system based on big data according to claim 9, characterized in that: The temporary communication construction unit specifically includes: Demand acquisition module, used to obtain enterprise employee information and financial management needs; A target selection module, used to select target enterprise employees and corresponding target mobile terminals according to the enterprise employee information and the financial management requirements; A data extraction module, used to extract the mobile terminal communication data of the target mobile terminal from the enterprise employee information; A scenario judgment module, used to judge whether a temporary communication scenario is met according to the mobile terminal communication data; The communication building module is used to build temporary permission communication with the target mobile terminal when the temporary communication scenario is met.

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