CN111199465A - Enterprise financial false-identifying method based on intellectualization - Google Patents
Enterprise financial false-identifying method based on intellectualization Download PDFInfo
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- CN111199465A CN111199465A CN201911300436.1A CN201911300436A CN111199465A CN 111199465 A CN111199465 A CN 111199465A CN 201911300436 A CN201911300436 A CN 201911300436A CN 111199465 A CN111199465 A CN 111199465A
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Abstract
The invention discloses an intelligent enterprise financial false-identifying method, which comprises the steps of acquiring historical financial data of an enterprise to be detected, establishing a time financial statistical table for the financial data according to time marks, marking financial information, establishing a mapping relation between related financial income and financial expenditure, extracting actual income and actual expenditure of the enterprise to be detected in the time financial statistical table, counting the actual income of a month and the actual expenditure of the month corresponding to each month according to the time intercept point of the month, counting the overall growth influence coefficient of the financial of the enterprise, performing financial verification on each financial information in a financial statement and the financial information in the financial statistical table, and performing risk early warning prompt. The method comprehensively judges whether the financial information in the financial statement is consistent with the financial information in the financial statistics table, is convenient to analyze the truth of the financial according to the relevance in the financial information, improves the accuracy and the efficiency of the financial identification function, reduces the financial risk, and has the function of risk early warning and identification.
Description
Technical Field
The invention belongs to the technical field of enterprise financial identification, and relates to a method for identifying false based on intelligent enterprise financial.
Background
The data analysis of the current financial statements is basically completed based on manual review, which not only increases the labor burden, but also has low efficiency, and the error rate is increased due to long-time work, and the general financial counterfeiting mainly comprises manipulating, forging or modifying the accounting records or the voucher files compiled by the financial statements; false or intentional omission of transactions, matters or other important information of financial reports; intentional misuse of accounting principles related to quantity, classification, manner of provision, or manner of disclosure, and the like.
At present, inevitable and reasonable connection exists among reports in enterprise finance or data in the same report, association in financial reports can be destroyed in order to achieve the conditions of performance assessment, credit fund acquisition, tax payment reduction and the like for part of enterprises, but once false data is manufactured in the financial reports by enterprises, the auditing amount of personnel is increased, the accuracy rate of the detected false data is low, and the difficulty of detection is high.
Disclosure of Invention
The invention aims to provide an intelligent enterprise financial affair identification method, which is characterized in that an enterprise financial statistic table is established, financial information on an enterprise financial statement is compared and screened with financial information in the enterprise financial statistic table, whether the financial information in the financial statement is consistent with the financial information in the financial statistic table or not is comprehensively judged according to the mapping relation of financial income or expenditure, the true and false of the financial is conveniently analyzed according to the relevance in the financial information, the accuracy and the high efficiency of a financial identification function are improved, the financial risk is reduced, a risk early warning identification function is realized, and the problems of low efficiency and poor accuracy of false financial data detection in the prior art are solved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent enterprise financial false-identifying method comprises the following steps:
s1, acquiring historical financial data of the enterprise to be detected, dividing the historical financial data into income and expenditure categories according to financial types;
s2, time marking is carried out on each financial data in income and expenditure classes, a time financial statistical table is established for the financial data according to the time marks, and financial information is marked on the financial statistical table;
s3, screening out the financial income and the financial expense which are mutually associated, and establishing a mapping relation between the associated financial income and the associated financial expense;
s4, extracting actual income and actual expenditure of the enterprise to be detected from the time financial statistical table, and counting the actual income and the actual expenditure of each month corresponding to each month by taking the month as a time intercept point;
s5, acquiring the actual monthly income and the actual monthly expenditure sum corresponding to each month, and counting the enterprise financial overall growth influence coefficient according to the actual monthly income and the actual monthly expenditure sum;
s6, acquiring a financial statement, extracting the names of the transferred-in or transferred-out enterprises corresponding to the financial information on the financial statement, and performing financial verification according to the income and expense corresponding to the names of the transferred-in or transferred-out enterprises and the financial income and financial expense mapped with the financial information in the financial statistics table;
s7, extracting the absolute value of the difference between the income amount or the expenditure amount in the same time in the financial statement in the financial verification and the income amount or the expenditure amount in the financial statistics table, judging whether the absolute value of the difference is larger than a set threshold, if so, sending a risk early warning, otherwise, not sending the risk early warning.
Further, the financial data in the income class and the expenditure class are respectively numbered according to a set sequence as a1, a2, an, b1, b2, a, bm, an represents the income amount corresponding to the nth income type, n is 1,2, bm represents the expenditure amount corresponding to the mth expenditure type, and m is 1, 2.
Further, the financial information comprises a transferred-in enterprise name, a transferred-in time, a transferred-in amount, a transferred-out enterprise name, a transferred-out time and a transferred-out amount.
Further, the enterprise financial overall growth influence coefficient
P is expressed as the financial overall growth influence coefficient, D, of the enterprise to be testedsExpressed as the sum of the actual income of month s, FsExpressed as the actual sum of the expenses for month s.
Further, in step S6, the financial verification includes the following steps:
q1, sorting the financial information in the financial statement according to the time sequence, and extracting the income amount or expenditure amount corresponding to the enterprise name sorted in the first order;
q2, extracting financial information in the financial statistical table;
q3, screening out the corresponding enterprise name in the financial statistical table from the enterprise names in the financial report, and extracting the corresponding income amount, expenditure amount and income/expenditure time in the financial statistical table;
q4, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistics table, if so, executing a step Q5, otherwise, executing a step Q6;
q5, screening income/expenditure time corresponding to income amount or expenditure amount, comparing the income/expenditure time with income amount or expenditure amount corresponding to income amount or expenditure amount in the financial statistics table, if the income/expenditure time is the same as the income/expenditure time, executing a step Q6, otherwise executing a step Q8;
q6, screening out other income or expenditure mapped with the income or expenditure, counting the income or expenditure sum mapped with the income or expenditure sum, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistic table again, if so, executing a step Q7, otherwise, executing a step Q8;
q7, sequentially increasing the sequenced numbers, and executing the steps Q3-Q6 until the income amount or the expenditure amount corresponding to all the enterprise names in the financial statement are screened;
q8, counting the absolute value of the difference between the income amount or the expenditure amount in the financial statement and the income amount or the expenditure amount in the financial statement at the same time.
The invention has the beneficial effects that:
according to the intelligent enterprise financial affair identification method, the enterprise financial statistics table is established, the financial information on the enterprise financial statement is compared with and screened from the financial information in the enterprise financial statistics table, whether the financial information in the financial statement is consistent with the financial information in the financial statistics table or not is comprehensively judged according to the mapping relation of financial income or expenditure, the true and false of the financial are conveniently analyzed according to the relevance in the financial information, the accuracy and the high efficiency of the financial identification function are improved, the financial risk is reduced, and the risk early warning identification function is achieved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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.
An intelligent enterprise financial false-identifying method comprises the following steps:
s1, historical financial data of an enterprise to be detected are obtained, the historical financial data are divided into income classes, expenditure classes and the like according to financial types, the financial data in the income classes and the expenditure classes are numbered according to a set sequence, and the numbered financial data are respectively a1, a2, an, b1, b2, bm, and an are represented as income amount corresponding to the nth income type, n is 1,2,.
S2, time marking is carried out on financial data in income and expenditure classes, a time financial statistical table is established for the financial data according to the time marking, and financial information is marked on the financial statistical table, wherein the financial information comprises a transferred-in enterprise name, a transferred-in time, a transferred-in amount, a transferred-out enterprise name, a transferred-out time, a transferred-out amount and the like;
s3, screening out the financial income and financial expense which are related to each other, and establishing a mapping relation between the related financial income and financial expense, wherein the mapping relation can be one-to-one mapping, multi-to-multi mapping and one-to-multi or multi-to-one mapping;
s4, extracting actual income and actual expenditure of the enterprise to be detected from the time financial statistical table, and counting the actual income and the actual expenditure of each month corresponding to each month by taking the month as a time intercept point;
s5, acquiring the actual income and the actual expenditure sum of each month, and according to the actual income and the actual expenditure sum of each month and the overall growth influence coefficient of the statistical enterprise finance,
p is expressed as the financial overall growth influence coefficient, D, of the enterprise to be testedsExpressed as the sum of the actual income of month s, FsExpressed as the actual sum of expenditures for month s;
s6, acquiring a financial statement, extracting the names of the transferred-in or transferred-out enterprises corresponding to the financial information on the financial statement, and performing financial verification according to the income and expense corresponding to the names of the transferred-in or transferred-out enterprises and the financial income and financial expense mapped with the financial information in the financial statistics table;
wherein the financial verification comprises the steps of:
q1, sorting the financial information in the financial statement according to the time sequence, and extracting the income amount or expenditure amount corresponding to the enterprise name sorted in the first order;
q2, extracting financial information in the financial statistical table;
q3, screening out the corresponding enterprise name in the financial statistical table from the enterprise names in the financial report, and extracting the corresponding income amount, expenditure amount and income/expenditure time in the financial statistical table;
q4, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistics table, if so, executing a step Q5, otherwise, executing a step Q6;
q5, screening income/expenditure time corresponding to income amount or expenditure amount, comparing the income/expenditure time with income amount or expenditure amount corresponding to income amount or expenditure amount in the financial statistics table, if the income/expenditure time is the same as the income/expenditure time, executing a step Q6, otherwise executing a step Q8;
q6, screening out other income or expenditure mapped with the income or expenditure, counting the income or expenditure sum mapped with the income or expenditure sum, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistic table again, if so, executing a step Q7, otherwise, executing a step Q8;
q7, sequentially increasing the sequenced numbers, and executing the steps Q3-Q6 until the income amount or the expenditure amount corresponding to all the enterprise names in the financial statement are screened;
q8, counting the absolute value of the difference between the income amount or the expenditure amount in the financial statement and the income amount or the expenditure amount in the financial statement at the same time.
S7, extracting the absolute value of the difference between the income amount or the expenditure amount in the same time in the financial statement in the financial verification and the income amount or the expenditure amount in the financial statistics table, judging whether the absolute value of the difference is larger than a set threshold, if so, sending a risk early warning, otherwise, not sending the risk early warning.
According to the invention, by establishing the enterprise financial statistics table, comparing and screening the financial information in the enterprise financial statement with the financial information in the enterprise financial statistics table, and comprehensively judging whether the financial information in the financial statement is consistent with the financial information in the financial statistics table according to the mapping relation of financial income or expenditure, the true and false of the financial can be conveniently analyzed according to the relevance in the financial information, the accuracy and the high efficiency of the financial identification function are improved, the financial risk is reduced, and the risk early warning and identification function is realized.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (5)
1. An enterprise financial affairs false-identifying method based on intellectualization is characterized in that: the method comprises the following steps:
s1, acquiring historical financial data of the enterprise to be detected, dividing the historical financial data into income and expenditure categories according to financial types;
s2, time marking is carried out on each financial data in income and expenditure classes, a time financial statistical table is established for the financial data according to the time marks, and financial information is marked on the financial statistical table;
s3, screening out the financial income and the financial expense which are mutually associated, and establishing a mapping relation between the associated financial income and the associated financial expense;
s4, extracting actual income and actual expenditure of the enterprise to be detected from the time financial statistical table, and counting the actual income and the actual expenditure of each month corresponding to each month by taking the month as a time intercept point;
s5, acquiring the actual monthly income and the actual monthly expenditure sum corresponding to each month, and counting the enterprise financial overall growth influence coefficient according to the actual monthly income and the actual monthly expenditure sum;
s6, acquiring a financial statement, extracting the names of the transferred-in or transferred-out enterprises corresponding to the financial information on the financial statement, and performing financial verification according to the income and expense corresponding to the names of the transferred-in or transferred-out enterprises and the financial income and financial expense mapped with the financial information in the financial statistics table;
s7, extracting the absolute value of the difference between the income amount or the expenditure amount in the same time in the financial statement in the financial verification and the income amount or the expenditure amount in the financial statistics table, judging whether the absolute value of the difference is larger than a set threshold, if so, sending a risk early warning, otherwise, not sending the risk early warning.
2. The intelligent enterprise financial false recognition method based on claim 1, wherein the method comprises the following steps: the financial data in the income class and the expenditure class are numbered according to a set sequence, wherein the financial data are respectively a1, a2, a, an, b1, b2, a.
3. The intelligent enterprise financial false recognition method based on claim 1, wherein the method comprises the following steps: the financial information comprises the name of the transferred-in enterprise, the transfer-in time, the amount of money transferred in, the name of the transferred-out enterprise, the transfer-out time and the amount of money transferred out.
4. The intelligent enterprise financial false recognition method based on claim 1, wherein the method comprises the following steps: the enterprise financial overall growth influence coefficient
P is expressed as the financial overall growth influence coefficient, D, of the enterprise to be testedsExpressed as the sum of the actual income of month s, FsExpressed as the actual sum of the expenses for month s.
5. The intelligent enterprise financial false recognition method based on claim 1, wherein the method comprises the following steps: in step S6, the financial verification includes the following steps:
q1, sorting the financial information in the financial statement according to the time sequence, and extracting the income amount or expenditure amount corresponding to the enterprise name sorted in the first order;
q2, extracting financial information in the financial statistical table;
q3, screening out the corresponding enterprise name in the financial statistical table from the enterprise names in the financial report, and extracting the corresponding income amount, expenditure amount and income/expenditure time in the financial statistical table;
q4, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistics table, if so, executing a step Q5, otherwise, executing a step Q6;
q5, screening income/expenditure time corresponding to income amount or expenditure amount, comparing the income/expenditure time with income amount or expenditure amount corresponding to income amount or expenditure amount in the financial statistics table, if the income/expenditure time is the same as the income/expenditure time, executing a step Q6, otherwise executing a step Q8;
q6, screening out other income or expenditure mapped with the income or expenditure, counting the income or expenditure sum mapped with the income or expenditure sum, judging whether the income amount or expenditure amount in the financial statement is consistent with the income amount or expenditure amount in the financial statistic table again, if so, executing a step Q7, otherwise, executing a step Q8;
q7, sequentially increasing the sequenced numbers, and executing the steps Q3-Q6 until the income amount or the expenditure amount corresponding to all the enterprise names in the financial statement are screened;
q8, counting the absolute value of the difference between the income amount or the expenditure amount in the financial statement and the income amount or the expenditure amount in the financial statement at the same time.
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| CN201911300436.1A CN111199465A (en) | 2019-12-17 | 2019-12-17 | Enterprise financial false-identifying method based on intellectualization |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112150265A (en) * | 2020-10-15 | 2020-12-29 | 信阳农林学院 | Enterprise financial counterfeiting identification system based on big data |
| CN115564545A (en) * | 2022-10-13 | 2023-01-03 | 连云港锐腾信息科技有限公司 | Big data intelligent safety system based on financial management |
| CN116308851A (en) * | 2023-05-22 | 2023-06-23 | 河北华正信息工程有限公司 | Enterprise financial information data management risk identification system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112150265A (en) * | 2020-10-15 | 2020-12-29 | 信阳农林学院 | Enterprise financial counterfeiting identification system based on big data |
| CN115564545A (en) * | 2022-10-13 | 2023-01-03 | 连云港锐腾信息科技有限公司 | Big data intelligent safety system based on financial management |
| CN116308851A (en) * | 2023-05-22 | 2023-06-23 | 河北华正信息工程有限公司 | Enterprise financial information data management risk identification system |
| CN116308851B (en) * | 2023-05-22 | 2023-09-19 | 河北华正信息工程有限公司 | Enterprise financial information data management risk identification system |
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Application publication date: 20200526 |