CN118071525A - Financial data auditing method and system - Google Patents

Financial data auditing method and system Download PDF

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CN118071525A
CN118071525A CN202410458828.5A CN202410458828A CN118071525A CN 118071525 A CN118071525 A CN 118071525A CN 202410458828 A CN202410458828 A CN 202410458828A CN 118071525 A CN118071525 A CN 118071525A
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financial
target
real time
curve
financial data
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CN118071525B (en
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笪耀文
贾寒晔
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Jiangxi University of Technology
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Jiangxi University of Technology
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Abstract

The invention provides a financial data auditing method and system, wherein the method comprises the following steps: acquiring historical financial data generated in the current year of an enterprise, and analyzing and processing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time; extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in a financial report according to the target keywords; generating financial curves corresponding to each financial index in real time according to target financial data based on preset rules, and judging whether the change rule of each financial curve meets preset requirements in real time; if the change rule of each financial curve meets the preset requirement, judging that each financial index meets the development target of the enterprise, and finishing the auditing of the historical financial data. According to the invention, the auditing of the financial data can be objectively and accurately completed, and the use experience of a user is improved.

Description

Financial data auditing method and system
Technical Field
The invention relates to the technical field of data processing, in particular to a financial data auditing method and system.
Background
The existing financial data mainly comprises a financial general ledger and report data, wherein the financial general ledger is data of a summarized account obtained by statistics and accounting according to enterprise operation financial information, and the report data is specifically financial report data filled by the general ledger data, so that the operation data of an enterprise can be intuitively observed.
Furthermore, in the practical application process, the development target of the enterprise in the next year can be correspondingly formulated by checking the financial data in the current year in real time, and in the specific checking process, most of the prior art completes the checking of the financial data by staff based on the financial data in the current year and combined with the historical working experience of the staff, and further the development target in the next year is summarized, however, the checking mode is easily influenced by artificial subjective factors, so that a certain error is easy to occur, the reasonable and accurate development target cannot be formulated further, and the working efficiency is correspondingly reduced.
Disclosure of Invention
Based on the above, the invention aims to provide a financial data auditing method and system, so as to solve the problem that the auditing mode in the prior art is easily affected by artificial subjective factors, and errors are easily caused.
The first aspect of the embodiment of the invention provides:
a financial data auditing method, wherein the method comprises:
Acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
Extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
Generating a financial curve corresponding to each financial index in real time according to the target financial data based on a preset rule, and judging whether the change rule of each financial curve meets a preset requirement in real time;
If the change rule of each financial curve meets the preset requirement, judging that each financial index meets the development target of the enterprise, and finishing the auditing of the historical financial data.
The beneficial effects of the invention are as follows: through the historical financial data that the inside of collection enterprise has produced in real time, and carry out corresponding analytical processing, just can be corresponding and extract financial statement and the financial index that is used for follow-up processing. Further, in order to facilitate subsequent auditing, at this time, further obtaining target financial data corresponding to each financial index respectively, and further drawing financial curves corresponding to each financial index in real time according to preset rules, on the basis, only determining whether the change rule of each financial curve meets preset requirements in real time, specifically, if so, correspondingly indicating that the financial data of the current enterprise is normal, and simultaneously indicating that the operation state of the current enterprise is in a normal condition, and correspondingly improving the use experience of a user.
Further, the step of generating, in real time, a financial curve corresponding to each of the financial indexes according to the target financial data based on the preset rule includes:
When the target financial data is obtained in real time, detecting an index type corresponding to the financial index in real time, wherein the index type has uniqueness;
matching a plurality of corresponding target transfer records in the target financial data in real time according to the index type, and detecting a time node and a target amount corresponding to each target transfer record one by one;
and generating the financial curve according to each time node and each target amount.
Further, the step of generating the financial curve according to each time node and each target amount includes:
When each target amount is obtained in real time, detecting an amount value and an amount unit corresponding to each target amount one by one;
judging whether the monetary value and monetary unit of each target monetary value are unified in real time;
and if the value and the unit of the amount of each target amount are judged to be not uniform in real time, uniformly adjusting the value and the unit of the amount of each target amount to be standard values so as to generate a plurality of corresponding standard amounts, and correspondingly generating the financial curve according to each time node and each standard amount.
Further, the step of generating the financial curve according to each time node and each standard amount corresponds to the time node comprises:
After the time node and the standard amount corresponding to each index type are obtained in real time, a corresponding financial data chain is built in real time according to each index type, the corresponding time node and the standard amount;
constructing a corresponding target two-dimensional coordinate system according to the standard amount and the time node, wherein the time node is an abscissa, and the standard amount is an ordinate;
mapping each financial data chain to the target two-dimensional coordinate system correspondingly to generate a financial curve corresponding to each index type in the target two-dimensional coordinate system correspondingly.
Further, the step of determining in real time whether the change rule of each financial curve meets the preset requirement includes:
When the financial curve is obtained in real time, detecting a starting point and an ending point corresponding to the financial curve in real time;
Detecting a plurality of maximum value points and a plurality of minimum value points which are sequentially contained in the financial curve in real time in the range of the starting point and the ending point;
Detecting a change rule corresponding to the financial curve in real time according to the maximum points and the minimum points so as to judge whether the change rule meets the preset requirement in real time.
Further, the step of detecting, in real time, a change rule corresponding to the financial curve according to the maximum points and the minimum points to determine, in real time, whether the change rule meets the preset requirement includes:
Sequentially connecting each maximum value point and each minimum value point according to the direction from the starting point to the ending point, and detecting a plurality of target connecting lines generated between the adjacent maximum value points and the adjacent minimum value points one by one;
And sequentially calculating target slope values corresponding to the target connecting lines respectively, and judging whether the change rule of the financial curve meets the preset requirement or not in real time according to each target slope value.
Further, the step of determining whether the change rule of the financial curve meets the preset requirement according to each target slope value in real time includes:
Sequentially calculating target difference values between two adjacent target slope values according to the direction from the starting point to the ending point;
Judging whether the target difference value is within a preset difference value threshold value in real time;
If the target difference value is judged to be within the preset difference value threshold value in real time, the change rule of the financial curve is judged to meet the preset requirement, and the enterprise is judged to be in a normal operating state.
A second aspect of an embodiment of the present invention proposes:
A financial data auditing system, wherein the system comprises:
The acquisition module is used for acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
The extraction module is used for extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
The judging module is used for generating a financial curve corresponding to each financial index in real time according to the target financial data based on a preset rule, and judging whether the change rule of each financial curve meets the preset requirement in real time;
And the processing module is used for judging that each financial index meets the development target of the enterprise if judging that the change rule of each financial curve meets the preset requirement in real time so as to complete the auditing of the historical financial data.
Further, the judging module is specifically configured to:
When the target financial data is obtained in real time, detecting an index type corresponding to the financial index in real time, wherein the index type has uniqueness;
matching a plurality of corresponding target transfer records in the target financial data in real time according to the index type, and detecting a time node and a target amount corresponding to each target transfer record one by one;
and generating the financial curve according to each time node and each target amount.
Further, the judging module is specifically further configured to:
When each target amount is obtained in real time, detecting an amount value and an amount unit corresponding to each target amount one by one;
judging whether the monetary value and monetary unit of each target monetary value are unified in real time;
and if the value and the unit of the amount of each target amount are judged to be not uniform in real time, uniformly adjusting the value and the unit of the amount of each target amount to be standard values so as to generate a plurality of corresponding standard amounts, and correspondingly generating the financial curve according to each time node and each standard amount.
Further, the judging module is specifically further configured to:
After the time node and the standard amount corresponding to each index type are obtained in real time, a corresponding financial data chain is built in real time according to each index type, the corresponding time node and the standard amount;
constructing a corresponding target two-dimensional coordinate system according to the standard amount and the time node, wherein the time node is an abscissa, and the standard amount is an ordinate;
mapping each financial data chain to the target two-dimensional coordinate system correspondingly to generate a financial curve corresponding to each index type in the target two-dimensional coordinate system correspondingly.
Further, the judging module is specifically further configured to:
When the financial curve is obtained in real time, detecting a starting point and an ending point corresponding to the financial curve in real time;
Detecting a plurality of maximum value points and a plurality of minimum value points which are sequentially contained in the financial curve in real time in the range of the starting point and the ending point;
Detecting a change rule corresponding to the financial curve in real time according to the maximum points and the minimum points so as to judge whether the change rule meets the preset requirement in real time.
Further, the judging module is specifically further configured to:
Sequentially connecting each maximum value point and each minimum value point according to the direction from the starting point to the ending point, and detecting a plurality of target connecting lines generated between the adjacent maximum value points and the adjacent minimum value points one by one;
And sequentially calculating target slope values corresponding to the target connecting lines respectively, and judging whether the change rule of the financial curve meets the preset requirement or not in real time according to each target slope value.
Further, the judging module is specifically further configured to:
Sequentially calculating target difference values between two adjacent target slope values according to the direction from the starting point to the ending point;
Judging whether the target difference value is within a preset difference value threshold value in real time;
If the target difference value is judged to be within the preset difference value threshold value in real time, the change rule of the financial curve is judged to meet the preset requirement, and the enterprise is judged to be in a normal operating state.
A third aspect of an embodiment of the present invention proposes:
a computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the financial data auditing method as described above when the computer program is executed by the processor.
A fourth aspect of the embodiment of the present invention proposes:
A readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements a financial data auditing method as described above.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a financial data auditing method provided by a first embodiment of the present invention;
FIG. 2 is a block diagram of a financial data auditing system according to a sixth embodiment of the present invention.
The invention will be further described in the following detailed description in conjunction with the above-described figures.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, a financial data auditing method according to a first embodiment of the present invention is shown, where the financial data auditing method according to the present embodiment can objectively and accurately audit financial data of an enterprise, and can determine whether the enterprise is in a normal operating state in real time, so that user experience is correspondingly improved.
Specifically, the present embodiment provides:
A financial data auditing method specifically comprises the following steps:
Step S10, acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
Step S20, extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
step S30, generating financial curves corresponding to each financial index in real time according to the target financial data based on preset rules, and judging whether the change rule of each financial curve meets preset requirements in real time;
and step S40, if the change rule of each financial curve meets the preset requirement, judging that each financial index meets the development target of the enterprise, so as to complete the auditing of the historical financial data.
Specifically, in this embodiment, it should be noted that, first, in order to objectively and accurately audit the current year's financial data of an enterprise, it is required to obtain the complete financial data generated by the enterprise in a certain year, that is, obtain the historical financial data generated by the enterprise in real time in the current year, further, in order to facilitate subsequent analysis, it is also required to perform corresponding analysis processing on the current historical financial data in real time at this time, that is, in order to further detect, in real time, a financial report and a plurality of financial indexes that can be used for subsequent analysis in the current historical financial data, where the financial report includes a series of transfer records, amounts and time, and the financial indexes include a revenue index, a research and development index, a purchasing index, and the like. Based on this, in order to further perform corresponding analysis on each current financial index, it is required to further extract, in real time, the target keywords included in each current financial index, and further match, in real time, the corresponding target financial data in the financial report according to the current target keywords.
Further, in order to visually check the current change condition of each financial index in the current year, at this time, a financial curve corresponding to each financial index needs to be drawn in real time according to the target financial data of each financial index, based on this, because the change state of each financial curve, namely, the condition that the curve floats up and down, can correspondingly reflect the financial state and the operation state of the current enterprise, on this basis, whether the change rule of the financial curve corresponding to each current financial index meets the preset requirement or not is judged in real time, specifically, if so, the current enterprise can be directly described as to the normal financial state and the normal operation state, and if not, the current enterprise financial state is described as abnormal, and corresponding remedial measures need to be carried out, so that the audit of the financial data of the enterprise can be objectively and accurately completed, and the use experience of users is correspondingly improved.
Second embodiment
Further, the step of generating, in real time, a financial curve corresponding to each of the financial indexes according to the target financial data based on the preset rule includes:
When the target financial data is obtained in real time, detecting an index type corresponding to the financial index in real time, wherein the index type has uniqueness;
matching a plurality of corresponding target transfer records in the target financial data in real time according to the index type, and detecting a time node and a target amount corresponding to each target transfer record one by one;
and generating the financial curve according to each time node and each target amount.
Specifically, in this embodiment, it should be noted that, after the required target financial data is obtained in real time through the above steps, the target financial data includes the specific transfer record, transfer amount, time, and the like of the current enterprise, so that the index type corresponding to each of the above financial indexes needs to be further detected in real time, and the index of each type is unique.
Further, for easy understanding, for example, the currently detected index type is "revenue index", then the target transfer records generated by the current business in 1 to 12 months respectively can be further matched in real time according to the current "revenue index" in the target financial data, meanwhile, the time node and the target amount corresponding to each target transfer record can be further detected in real time, specifically, for example, the current business generates 3 transfer records in 1 month, wherein the transfer income is 10 ten thousand yuan in 1 month 10 days, the income is 1 ten thousand yuan in 1 month 15 days, and the income is 2 ten thousand yuan in 1 month 26 days, based on the target transfer records, the corresponding financial curve can be further generated according to each current time node and each target amount in real time, so that the subsequent processing is convenient.
Further, the step of generating the financial curve according to each time node and each target amount includes:
When each target amount is obtained in real time, detecting an amount value and an amount unit corresponding to each target amount one by one;
judging whether the monetary value and monetary unit of each target monetary value are unified in real time;
and if the value and the unit of the amount of each target amount are judged to be not uniform in real time, uniformly adjusting the value and the unit of the amount of each target amount to be standard values so as to generate a plurality of corresponding standard amounts, and correspondingly generating the financial curve according to each time node and each standard amount.
Specifically, in this embodiment, after the target amount and the time node corresponding to each financial index are obtained in real time through the above steps, it should be pointed out that, in the actual operation process of the company, a situation that a certain transfer amount is larger and a certain transfer amount is smaller may occur, so that the corresponding financial curve is unfavorable to be drawn, so that, for facilitating the subsequent processing, the value and the unit of the amount corresponding to each current target amount are further detected in real time, and whether the value and the unit of the amount of each current target amount are unified is correspondingly determined, specifically, if yes, the current target amount can be directly processed, and if not, the value and the unit of the amount of each current target amount are further uniformly adjusted to be standard values, and the required standard amount is correspondingly generated, so that the financial curve is further generated according to the current time node and the standard amount. For easy understanding, for example, the target amount acquired in real time is "21560 yuan" and "3.6 ten thousand yuan", based on which the current "21560 yuan" can be adjusted and correspondingly adjusted to "2.156 ten thousand yuan", namely, adjusted to the corresponding standard amount, so as to facilitate subsequent processing.
Third embodiment
Further, the step of generating the financial curve according to each time node and each standard amount corresponds to the time node comprises:
After the time node and the standard amount corresponding to each index type are obtained in real time, a corresponding financial data chain is built in real time according to each index type, the corresponding time node and the standard amount;
constructing a corresponding target two-dimensional coordinate system according to the standard amount and the time node, wherein the time node is an abscissa, and the standard amount is an ordinate;
mapping each financial data chain to the target two-dimensional coordinate system correspondingly to generate a financial curve corresponding to each index type in the target two-dimensional coordinate system correspondingly.
In addition, in this embodiment, it should be noted that, after the time node and the standard amount corresponding to each index type are obtained in real time through the above steps, since there are multiple financial indexes at the same time, each financial index simultaneously corresponds to multiple time nodes and standard amounts, so as to avoid confusion of data of each financial index, and avoid errors of the auditing result, at this time, a corresponding financial data chain may be constructed in real time according to each index type and the corresponding time node and standard amount, and in particular, the format of the financial data chain is "index type-standard amount-time node" so as to facilitate subsequent drawing of a financial curve.
Furthermore, the time node is taken as an abscissa, the corresponding target two-dimensional coordinate system is constructed in real time by taking the standard amount as an ordinate, and based on the target two-dimensional coordinate system, each financial data chain is mapped to the current target two-dimensional coordinate system, so that a financial curve corresponding to each index type can be correspondingly generated in the current target two-dimensional coordinate system in real time, and subsequent processing is facilitated.
Further, the step of determining in real time whether the change rule of each financial curve meets the preset requirement includes:
When the financial curve is obtained in real time, detecting a starting point and an ending point corresponding to the financial curve in real time;
Detecting a plurality of maximum value points and a plurality of minimum value points which are sequentially contained in the financial curve in real time in the range of the starting point and the ending point;
Detecting a change rule corresponding to the financial curve in real time according to the maximum points and the minimum points so as to judge whether the change rule meets the preset requirement in real time.
In addition, in this embodiment, it should be further noted that, after the financial curves corresponding to each financial index are drawn in real time through the above steps, in order to objectively and accurately detect the change rule of each current financial curve, at this time, the starting point and the ending point of the current financial curve need to be correspondingly detected, that is, the range of the financial curve needs to be correspondingly determined. Further, in the range of the current starting point and the ending point, a plurality of maximum points and minimum points respectively generated by the current financial curve at the wave crest and the wave trough are further detected, and based on the maximum points and the minimum points, the change rule corresponding to the current financial curve can be further detected in real time according to the current maximum points and the minimum points, so that subsequent judgment processing can be further completed, and subsequent processing is facilitated.
Fourth embodiment
Further, the step of detecting, in real time, a change rule corresponding to the financial curve according to the maximum points and the minimum points to determine, in real time, whether the change rule meets the preset requirement includes:
Sequentially connecting each maximum value point and each minimum value point according to the direction from the starting point to the ending point, and detecting a plurality of target connecting lines generated between the adjacent maximum value points and the adjacent minimum value points one by one;
And sequentially calculating target slope values corresponding to the target connecting lines respectively, and judging whether the change rule of the financial curve meets the preset requirement or not in real time according to each target slope value.
In this embodiment, it should be noted that, after the start point and the end point corresponding to each financial curve are obtained in real time through the above steps, the detection range is correspondingly determined at this time, based on this, each maximum point and each minimum point can be further connected in sequence in the current financial curve, and the target connection line generated between the adjacent maximum points and the adjacent minimum points can be correspondingly detected. Furthermore, because each straight line has a slope corresponding to the straight line, based on the slope, the target slope values corresponding to each current target connecting line can be correspondingly calculated through the existing slope calculation method, and finally, the change rule of the current financial curve is judged in real time according to the magnitude of each current target slope value, so that the follow-up processing is facilitated.
Fifth embodiment
Further, the step of determining whether the change rule of the financial curve meets the preset requirement according to each target slope value in real time includes:
Sequentially calculating target difference values between two adjacent target slope values according to the direction from the starting point to the ending point;
Judging whether the target difference value is within a preset difference value threshold value in real time;
If the target difference value is judged to be within the preset difference value threshold value in real time, the change rule of the financial curve is judged to meet the preset requirement, and the enterprise is judged to be in a normal operating state.
In this embodiment, it should be noted that, after a plurality of target slope values included in a current financial curve are detected in real time through the above steps, it should be noted that, in the technical field of financial auditing, a financial curve generated in real time can correspond to and directly reflect financial balance conditions of an enterprise, and the financial balance conditions of the enterprise can further directly reflect daily operation conditions of the enterprise, where an undulating state of each waveform in the financial curve can directly reflect financial balance conditions of the enterprise, and an undulating state of each waveform can be accurately determined by the plurality of target slope values.
Further, the target difference between two adjacent target slope values is calculated in sequence from the starting point according to the direction from the starting point to the ending point, and at the same time, whether the calculated target difference is within a preset difference threshold is judged in real time, and preferably, the preset difference threshold is set to be 0.5. Specifically, if so, the fluctuation change of each waveform in the current financial curve can be directly described as small, and the financial balance condition of the current enterprise can be correspondingly described as stable, namely, the operation state of the current enterprise is indicated to be in a normal state. Correspondingly, if not, the fluctuation of each waveform in the current financial curve can be directly described as large, and the unstable financial balance condition of the current enterprise can be correspondingly described, namely, the current enterprise is indicated to be in an abnormal operation state, and corresponding measures are required to be taken, so that the auditing of the financial data of the enterprise can be objectively and accurately completed, and the use experience of a user is correspondingly improved.
Referring to fig. 2, a sixth embodiment of the present invention provides:
A financial data auditing system, wherein the system comprises:
The acquisition module is used for acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
The extraction module is used for extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
The judging module is used for generating a financial curve corresponding to each financial index in real time according to the target financial data based on a preset rule, and judging whether the change rule of each financial curve meets the preset requirement in real time;
And the processing module is used for judging that each financial index meets the development target of the enterprise if judging that the change rule of each financial curve meets the preset requirement in real time so as to complete the auditing of the historical financial data.
Further, the judging module is specifically configured to:
When the target financial data is obtained in real time, detecting an index type corresponding to the financial index in real time, wherein the index type has uniqueness;
matching a plurality of corresponding target transfer records in the target financial data in real time according to the index type, and detecting a time node and a target amount corresponding to each target transfer record one by one;
and generating the financial curve according to each time node and each target amount.
Further, the judging module is specifically further configured to:
When each target amount is obtained in real time, detecting an amount value and an amount unit corresponding to each target amount one by one;
judging whether the monetary value and monetary unit of each target monetary value are unified in real time;
and if the value and the unit of the amount of each target amount are judged to be not uniform in real time, uniformly adjusting the value and the unit of the amount of each target amount to be standard values so as to generate a plurality of corresponding standard amounts, and correspondingly generating the financial curve according to each time node and each standard amount.
Further, the judging module is specifically further configured to:
After the time node and the standard amount corresponding to each index type are obtained in real time, a corresponding financial data chain is built in real time according to each index type, the corresponding time node and the standard amount;
constructing a corresponding target two-dimensional coordinate system according to the standard amount and the time node, wherein the time node is an abscissa, and the standard amount is an ordinate;
mapping each financial data chain to the target two-dimensional coordinate system correspondingly to generate a financial curve corresponding to each index type in the target two-dimensional coordinate system correspondingly.
Further, the judging module is specifically further configured to:
When the financial curve is obtained in real time, detecting a starting point and an ending point corresponding to the financial curve in real time;
Detecting a plurality of maximum value points and a plurality of minimum value points which are sequentially contained in the financial curve in real time in the range of the starting point and the ending point;
Detecting a change rule corresponding to the financial curve in real time according to the maximum points and the minimum points so as to judge whether the change rule meets the preset requirement in real time.
Further, the judging module is specifically further configured to:
Sequentially connecting each maximum value point and each minimum value point according to the direction from the starting point to the ending point, and detecting a plurality of target connecting lines generated between the adjacent maximum value points and the adjacent minimum value points one by one;
And sequentially calculating target slope values corresponding to the target connecting lines respectively, and judging whether the change rule of the financial curve meets the preset requirement or not in real time according to each target slope value.
Further, the judging module is specifically further configured to:
Sequentially calculating target difference values between two adjacent target slope values according to the direction from the starting point to the ending point;
Judging whether the target difference value is within a preset difference value threshold value in real time;
If the target difference value is judged to be within the preset difference value threshold value in real time, the change rule of the financial curve is judged to meet the preset requirement, and the enterprise is judged to be in a normal operating state.
A seventh embodiment of the present invention provides a computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the financial data auditing method as described above when executing the computer program.
An eighth embodiment of the present invention provides a readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements a financial data auditing method as described above.
In summary, the financial data auditing method and system provided by the embodiment of the invention can objectively and accurately audit the financial data of the enterprise, and can judge whether the enterprise is in a normal operating state or not, thereby correspondingly improving the use experience of users.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (7)

1. A financial data auditing method, the method comprising:
Acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
Extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
Generating a financial curve corresponding to each financial index in real time according to the target financial data based on a preset rule, and judging whether the change rule of each financial curve meets a preset requirement in real time;
if the change rule of each financial curve meets the preset requirement, judging that each financial index meets the development target of the enterprise, so as to complete the auditing of the historical financial data;
The step of generating the financial curve corresponding to each financial index in real time according to the target financial data based on the preset rule comprises the following steps:
When the target financial data is obtained in real time, detecting an index type corresponding to the financial index in real time, wherein the index type has uniqueness;
matching a plurality of corresponding target transfer records in the target financial data in real time according to the index type, and detecting a time node and a target amount corresponding to each target transfer record one by one;
generating the financial curve according to each time node and each target amount;
The step of generating the financial curve according to each time node and each target amount comprises the following steps:
When each target amount is obtained in real time, detecting an amount value and an amount unit corresponding to each target amount one by one;
judging whether the monetary value and monetary unit of each target monetary value are unified in real time;
If the value and the unit of the amount of each target amount are judged to be not uniform in real time, uniformly adjusting the value and the unit of the amount of each target amount to be standard values so as to generate a plurality of corresponding standard amounts, and correspondingly generating the financial curve according to each time node and each standard amount;
The step of generating the financial curve according to each time node and each standard amount comprises the following steps:
After the time node and the standard amount corresponding to each index type are obtained in real time, a corresponding financial data chain is built in real time according to each index type, the corresponding time node and the standard amount;
constructing a corresponding target two-dimensional coordinate system according to the standard amount and the time node, wherein the time node is an abscissa, and the standard amount is an ordinate;
mapping each financial data chain to the target two-dimensional coordinate system correspondingly to generate a financial curve corresponding to each index type in the target two-dimensional coordinate system correspondingly.
2. A method of auditing financial data according to claim 1, in which: the step of judging whether the change rule of each financial curve meets the preset requirement in real time comprises the following steps:
When the financial curve is obtained in real time, detecting a starting point and an ending point corresponding to the financial curve in real time;
Detecting a plurality of maximum value points and a plurality of minimum value points which are sequentially contained in the financial curve in real time in the range of the starting point and the ending point;
Detecting a change rule corresponding to the financial curve in real time according to the maximum points and the minimum points so as to judge whether the change rule meets the preset requirement in real time.
3. A financial data auditing method as claimed in claim 2, in which: the step of detecting the change rule corresponding to the financial curve in real time according to the maximum value points and the minimum value points so as to judge whether the change rule meets the preset requirement in real time comprises the following steps:
Sequentially connecting each maximum value point and each minimum value point according to the direction from the starting point to the ending point, and detecting a plurality of target connecting lines generated between the adjacent maximum value points and the adjacent minimum value points one by one;
And sequentially calculating target slope values corresponding to the target connecting lines respectively, and judging whether the change rule of the financial curve meets the preset requirement or not in real time according to each target slope value.
4. A financial data auditing method according to claim 3, characterised in that: the step of judging whether the change rule of the financial curve meets the preset requirement according to each target slope value in real time comprises the following steps:
Sequentially calculating target difference values between two adjacent target slope values according to the direction from the starting point to the ending point;
Judging whether the target difference value is within a preset difference value threshold value in real time;
If the target difference value is judged to be within the preset difference value threshold value in real time, the change rule of the financial curve is judged to meet the preset requirement, and the enterprise is judged to be in a normal operating state.
5. A financial data auditing system for implementing a financial data auditing method according to any one of claims 1 to 4, the system comprising:
The acquisition module is used for acquiring historical financial data generated in the current year of an enterprise, and analyzing the historical financial data to detect financial reports and a plurality of financial indexes contained in the historical financial data in real time;
The extraction module is used for extracting target keywords contained in each financial index one by one, and extracting target financial data corresponding to each financial index in real time in the financial report according to the target keywords;
The judging module is used for generating a financial curve corresponding to each financial index in real time according to the target financial data based on a preset rule, and judging whether the change rule of each financial curve meets the preset requirement in real time;
And the processing module is used for judging that each financial index meets the development target of the enterprise if judging that the change rule of each financial curve meets the preset requirement in real time so as to complete the auditing of the historical financial data.
6. A computer comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the financial data auditing method of any of claims 1 to 4 when the computer program is executed.
7. A readable storage medium having stored thereon a computer program which when executed by a processor implements a financial data auditing method according to any one of claims 1 to 4.
CN202410458828.5A 2024-04-17 Financial data auditing method and system Active CN118071525B (en)

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101075316A (en) * 2007-06-25 2007-11-21 陆航程 Method for managing electronic ticket trade certification its carrier structure, system and terminal
US20100114624A1 (en) * 2008-10-31 2010-05-06 Choudur Lakshminarayan System and method for optimizing financial performance generated by marketing investments under budget constraints
CN104036088A (en) * 2014-06-23 2014-09-10 国网山东省电力公司 Method and system for generating equity curves of group enterprise in real time
CN106920039A (en) * 2017-02-16 2017-07-04 河南职业技术学院 A kind of taxation risk managing and control system
CN109558414A (en) * 2018-10-15 2019-04-02 平安科技(深圳)有限公司 Checking method, device, computer equipment and the storage medium of financial data
CN111814598A (en) * 2020-06-22 2020-10-23 吉林省通联信用服务有限公司 Financial statement automatic identification method based on deep learning framework
CN112231636A (en) * 2020-09-18 2021-01-15 太仓锐博商务咨询有限公司 Budget allocation method based on financial data
CN113177396A (en) * 2021-04-30 2021-07-27 平安证券股份有限公司 Report generation method and device, computer equipment and storage medium
CN114511391A (en) * 2022-01-21 2022-05-17 北京快确信息科技有限公司 Enterprise financial risk identification method and device and electronic equipment
CN114612208A (en) * 2022-04-22 2022-06-10 郑州升达经贸管理学院 Financial data processing system
CN115330350A (en) * 2022-08-24 2022-11-11 南昌工学院 Financial data collaborative management method and device for security persistent memory
CN115660881A (en) * 2022-12-27 2023-01-31 智唐科技(北京)股份有限公司 Monitoring method, system and medium based on commercial customer financial income and expenditure
CN116029846A (en) * 2022-12-15 2023-04-28 中冶建筑研究总院有限公司 Financial management system

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101075316A (en) * 2007-06-25 2007-11-21 陆航程 Method for managing electronic ticket trade certification its carrier structure, system and terminal
US20100114624A1 (en) * 2008-10-31 2010-05-06 Choudur Lakshminarayan System and method for optimizing financial performance generated by marketing investments under budget constraints
CN104036088A (en) * 2014-06-23 2014-09-10 国网山东省电力公司 Method and system for generating equity curves of group enterprise in real time
CN106920039A (en) * 2017-02-16 2017-07-04 河南职业技术学院 A kind of taxation risk managing and control system
CN109558414A (en) * 2018-10-15 2019-04-02 平安科技(深圳)有限公司 Checking method, device, computer equipment and the storage medium of financial data
CN111814598A (en) * 2020-06-22 2020-10-23 吉林省通联信用服务有限公司 Financial statement automatic identification method based on deep learning framework
CN112231636A (en) * 2020-09-18 2021-01-15 太仓锐博商务咨询有限公司 Budget allocation method based on financial data
CN113177396A (en) * 2021-04-30 2021-07-27 平安证券股份有限公司 Report generation method and device, computer equipment and storage medium
CN114511391A (en) * 2022-01-21 2022-05-17 北京快确信息科技有限公司 Enterprise financial risk identification method and device and electronic equipment
CN114612208A (en) * 2022-04-22 2022-06-10 郑州升达经贸管理学院 Financial data processing system
CN115330350A (en) * 2022-08-24 2022-11-11 南昌工学院 Financial data collaborative management method and device for security persistent memory
CN116029846A (en) * 2022-12-15 2023-04-28 中冶建筑研究总院有限公司 Financial management system
CN115660881A (en) * 2022-12-27 2023-01-31 智唐科技(北京)股份有限公司 Monitoring method, system and medium based on commercial customer financial income and expenditure

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
俞淑科;: "财务报表分析", 农村科学实验, no. 09, 10 September 2017 (2017-09-10) *
宋永会;孙长江;: "财务报表分析局限性及其对策", 渔业经济研究, no. 03, 15 June 2008 (2008-06-15) *
常立华;佘廉;吴国斌;: "面向企业内部的财务预警管理系统研究", 软科学, no. 01, 28 February 2006 (2006-02-28) *
曲首成;赵晓峰;邹春林;: "财务净现值分析模型", 有色矿冶, no. 04, 15 August 2012 (2012-08-15) *

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