CN114493820A - Correlation verification type acquisition method and device suitable for financial data and storage medium - Google Patents

Correlation verification type acquisition method and device suitable for financial data and storage medium Download PDF

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CN114493820A
CN114493820A CN202210391541.6A CN202210391541A CN114493820A CN 114493820 A CN114493820 A CN 114493820A CN 202210391541 A CN202210391541 A CN 202210391541A CN 114493820 A CN114493820 A CN 114493820A
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CN114493820B (en
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刘燕
蒋雪萍
赵学海
张一泓
张陈
徐瑜琼
王桂林
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State Grid Zhejiang Electric Power Co Ltd
Shaoxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Shaoxing Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Abstract

The invention provides a correlation verification type acquisition method, a device and a storage medium suitable for financial data, which are used for extracting acquisition range information and first target financial information in a financial data acquisition request, wherein the acquisition range information comprises at least one target company; extracting first financial acquisition information corresponding to the first target financial information; acquiring first target associated information corresponding to the first target financial information, and extracting first associated acquisition information corresponding to the first target associated information; verifying the first financial acquisition information based on the first associated acquisition information, counting all the second financial acquisition information to generate a financial information set, and generating an acquisition report based on the financial information set; and extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial acquisition information in the financial data set and the current time value to generate a first encryption value, and encrypting the acquisition report based on the first encryption value.

Description

Correlation verification type acquisition method and device suitable for financial data and storage medium
Technical Field
The invention relates to the technical field of data acquisition, in particular to an associated verification type acquisition method and device suitable for financial data and a storage medium.
Background
In enterprise business data analysis, financial data is an indispensable component. The financial data is the most basic and important data table, which is usually three tables of annual tax return, asset liability table, profit table and cash flow table.
In a group type company, a head office can count financial data of a certain company on a certain index at the end of the year, such as annual business volume, annual tax amount and the like, in the prior art, financial staff check each financial statement according to the needs of the financial staff when counting the financial data, determine corresponding financial data, and transcribe the financial data in the process in a manual mode.
Disclosure of Invention
The embodiment of the invention provides a correlation verification type acquisition method, a correlation verification type acquisition device and a storage medium suitable for financial data, which can automatically acquire target financial data and perform correlation verification, improve the acquisition efficiency and accuracy of the financial data, encrypt corresponding financial data and improve the confidentiality of the financial data.
In a first aspect of the embodiments of the present invention, an association verification type acquisition method suitable for financial data is provided, including:
extracting acquisition range information and first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company;
acquiring first financial statements of all target companies based on the acquisition range information and first target financial information, generating a first financial statement set, and extracting first financial acquisition information corresponding to each first financial statement in the first financial statement set and the first target financial information;
acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information, generating a second financial statement set, and extracting first associated acquisition information corresponding to each second financial statement and the first target associated information in the second financial statement set;
acquiring first financial acquisition information and first associated acquisition information which correspond to each target company respectively, verifying the first financial acquisition information based on the first associated acquisition information, taking all verified first financial acquisition information as second financial acquisition information, counting all the second financial acquisition information to generate a financial information set, and generating an acquisition report based on the financial information set;
and extracting an identification value corresponding to each target company in the financial data set, a quantity value corresponding to each second financial collection information in the financial data set and a current time value to generate a first encryption value, and encrypting the collection report based on the first encryption value.
Optionally, in a possible implementation manner of the first aspect, in the process of collecting first financial statements of all target companies based on the collection range information and the first target financial information and generating a first financial statement set, and extracting first financial collection information corresponding to each first financial statement in the first financial statement set and the first target financial information, the following is specifically included:
acquiring a first name corresponding to the acquisition range information, traversing the first name and acquiring a company corresponding to the first name as a target company;
acquiring a first-dimension keyword in the first target financial information, and traversing financial statements corresponding to the first-dimension keyword in the target company to generate a first financial statement set;
and acquiring a second-dimension keyword in the first target financial information, and extracting first financial acquisition information corresponding to each first financial statement and the second-dimension keyword in the first financial statement set.
Optionally, in a possible implementation manner of the first aspect, in a process of obtaining first target associated information corresponding to the first target financial information, collecting second financial statements of all target companies based on the collection range information and the first target associated information, generating a second financial statement set, and extracting first associated collection information corresponding to each second financial statement in the second financial statement set and the first target associated information, the following contents are specifically included:
comparing first target financial information with a preset corresponding table to acquire first target associated information corresponding to the first target financial information, wherein the corresponding table has a corresponding relation between the first target financial information and the first target associated information;
acquiring a first-dimension keyword in the first target associated information, traversing financial statements corresponding to the first-dimension keyword in the target company to generate a second financial statement set;
and acquiring a second-dimension keyword in the first target financial information, and extracting first associated acquisition information corresponding to each financial statement and the second-dimension keyword in the second financial statement.
Optionally, in a possible implementation manner of the first aspect, in obtaining first financial collection information and first associated collection information corresponding to each target company, verifying the first financial collection information based on the first associated collection information, taking all verified first financial collection information as second financial collection information, counting all second financial collection information to generate a financial information set, and in a process of generating a collection report based on the financial information set, specifically, the following contents are included:
acquiring a first numerical value corresponding to the first financial acquisition information and a second numerical value corresponding to the first associated acquisition information, and determining a first verification interval based on the second numerical value;
the first authentication interval is determined by the following formula,
Figure 465298DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 116859DEST_PATH_IMAGE002
is the maximum value of the first verification interval,
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is the minimum value of the first verification interval,
Figure 760647DEST_PATH_IMAGE004
for the purpose of the upper offset value,
Figure 57243DEST_PATH_IMAGE005
is the value of the lower offset and is,
Figure 348547DEST_PATH_IMAGE006
is a second value of the first value,
Figure 350001DEST_PATH_IMAGE007
in order to convert the value for the financial coefficient,
Figure 548901DEST_PATH_IMAGE008
is a first weight value;
and if the first numerical value is located in the first verification interval, the first financial collection information passes verification.
Optionally, in a possible implementation manner of the first aspect, if the first numerical value is not within the first verification interval, the first financial collection information is not verified, and the first financial collection information is output and displayed;
if the administrator actively inputs the determined data, the first financial collection information is not corrected, and the first financial collection information is directly used as second financial collection information;
if the administrator actively inputs correction data, correcting the first financial collection information based on the correction data to obtain corrected first financial collection information, and taking the corrected first financial collection information as second financial collection information;
and adjusting the upper offset value or the lower offset value based on the first financial collection information corresponding to the determined data.
Optionally, in a possible implementation manner of the first aspect, in the adjusting the upper offset value or the lower offset value based on the first financial acquisition information corresponding to the determined data, the following is specifically included:
if the first financial collection information corresponding to the data is determined to be larger than the upper limit value of the first verification interval, the upper offset value is adjusted through the following formula,
Figure 952201DEST_PATH_IMAGE009
wherein, the first and the second end of the pipe are connected with each other,
Figure 679985DEST_PATH_IMAGE010
for the adjusted value of the upper offset to be,
Figure 168735DEST_PATH_IMAGE011
for the corrected first financial acquisition information,
Figure 640168DEST_PATH_IMAGE012
for the first financial acquisition before the correction,
Figure 147242DEST_PATH_IMAGE013
in order to be the first converted value, the first conversion value,
Figure 311507DEST_PATH_IMAGE014
is a first constant value;
if the first financial collection information corresponding to the data is determined to be smaller than the lower limit value of the first verification interval, the lower offset value is adjusted through the following formula,
Figure 287553DEST_PATH_IMAGE015
Figure 562676DEST_PATH_IMAGE016
for the adjusted lower offset value of the offset value,
Figure 940568DEST_PATH_IMAGE017
is a second constant value.
Optionally, in a possible implementation manner of the first aspect, in the process of extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial collection information in the financial data set, and the current time value to generate a first encrypted value, and encrypting the collection report based on the first encrypted value, the following is specifically included:
acquiring a first name of each target company in a financial data set, and acquiring an identification value corresponding to the first name in an identification corresponding table;
randomly sequencing the identification values corresponding to all the first names to obtain identification character values of a first sequencing sequence;
obtaining a financial data character value corresponding to the financial data set according to the quantity value corresponding to each piece of second financial acquisition information in the financial data set;
and generating a first encryption value by using the identification character value, the financial data character value and the time character value corresponding to the current time value.
Optionally, in a possible implementation manner of the first aspect, in obtaining, according to a quantity value corresponding to each piece of second financial acquisition information in the financial data set, a financial data character value corresponding to the financial data set specifically includes the following:
the financial data character value is calculated by the following formula,
Figure 10155DEST_PATH_IMAGE018
wherein the content of the first and second substances,
Figure 473498DEST_PATH_IMAGE019
in the form of a financial data character value,
Figure 286733DEST_PATH_IMAGE020
is as follows
Figure 519131DEST_PATH_IMAGE021
The company weight value of the target company corresponding to the second financial collection information,
Figure 775931DEST_PATH_IMAGE022
is a first
Figure 460990DEST_PATH_IMAGE021
The value of the second financial acquisition information,
Figure 343496DEST_PATH_IMAGE023
for the upper limit value of the second financial acquisition information,
Figure 430401DEST_PATH_IMAGE024
and acquiring the quantity value of the information for the second finance.
In a second aspect of the embodiments of the present invention, there is provided an association verification type acquisition apparatus for financial data, including:
the request extraction module is used for extracting acquisition range information and first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company;
the acquisition information extraction module is used for acquiring first financial statements of all target companies based on the acquisition range information and the first target financial information to generate a first financial statement set, and extracting first financial acquisition information corresponding to the first target financial information in each first financial statement in the first financial statement set;
the associated information extraction module is used for acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information to generate a second financial statement set, and extracting first associated acquisition information corresponding to the first target associated information of each second financial statement in the second financial statement set;
the system comprises an association verification module, a financial information collection module and a collection report module, wherein the association verification module is used for acquiring first financial collection information and first target association information which correspond to each target company respectively, verifying the first financial collection information based on the first target association information, taking all verified first financial collection information as second financial collection information, counting all the second financial collection information to generate a financial information set, and generating a collection report based on the financial information set;
and the encryption processing module is used for extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial acquisition information in the financial data set and the current time value to generate a first encryption value, and encrypting the acquisition report based on the first encryption value.
In a third aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
The correlation verification type acquisition method, the device and the storage medium suitable for the financial data provided by the invention can determine the corresponding target company in a plurality of companies according to the financial data acquisition request of the user, collecting corresponding first financial statements according to the first target financial information to generate a first financial statement set, the financial data which needs to be acquired by the user can be classified and counted through the first financial statement set, determining first target associated information corresponding to the first financial acquisition information after determining the first financial acquisition information of all target companies, and the first financial collection information and the first target correlation information are verified, so that the second financial collection information collected by the invention is correct information, and the invention can generate a financial information set according to all the second financial collection information, and further generate a corresponding collection report. According to the technical scheme provided by the invention, financial data of a plurality of target companies in batches can be acquired according to the acquisition range information of the user and the first target financial information. And the invention can generate a first encryption value according to the identification value corresponding to each target company, the quantity value corresponding to each second financial collection information in the financial data set and the current time value, so that the first encryption value generated by the invention can generate different first encryption values according to the difference of the target companies, the difference of the second financial collection information and the difference of time in the financial data set collected at this time, and encrypt the collection report according to the first encryption value, so that the financial data in the collection report can be stably stored.
According to the technical scheme provided by the invention, when the first target financial information is verified through the first target associated information, a corresponding first verification interval can be obtained according to the preset upper offset value and the preset lower offset value. The first financial collection information is verified according to the first verification interval, so that the first financial collection information is within a certain range, the accuracy of the first financial collection information is guaranteed, and the condition of verification errors is avoided. In addition, the upper offset value or the lower offset value can be adjusted according to the correction data input by the user, so that the upper offset value or the lower offset value can be corrected correspondingly according to the practical application scene of the user, the continuous updating of the upper offset value or the lower offset value is guaranteed, the range during calculation of the first verification interval is more accurate, the technical scheme provided by the invention can be actively learned, the scheme provided by the invention is continuously updated, and the accuracy of the first financial acquisition information verification is improved.
The technical proposal provided by the invention can determine different identification values according to different names of companies, obtain identification character values according to different identification values, obtaining corresponding financial data character values according to the quantity value corresponding to each second financial acquisition information in the financial data set, finally generating a first encryption value according to the identification character value, the financial data character value and the time character value corresponding to the current time value, in such a way that the first cryptographic value generated by the invention is obtained with reference to the name of the company, the data amount of the financial data set and the current time, so that each first cryptographic value is associated with the company, the financial data and the time, and the corresponding first encryption value is dynamically generated according to different companies, financial data and time, so that the confidentiality of the financial data during acquisition and storage is guaranteed.
Drawings
FIG. 1 is a flow chart of a first embodiment of a method for associative validated acquisition of financial data;
FIG. 2 is a flow chart of a second embodiment of a method for associative validated collection of financial data;
FIG. 3 is a flow chart of a third embodiment of a method for correlated, validated acquisition of financial data;
fig. 4 is a block diagram of a first embodiment of a correlation verification type acquisition apparatus suitable for financial data.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C all comprise, "comprises A, B or C" means comprise one of A, B, C, "comprises A, B and/or C" means comprise any 1 or any 2 or 3 of A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The invention provides a correlation verification type acquisition method suitable for financial data, which comprises the following steps of:
and S110, extracting the acquisition range information and the first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company. The technical scheme provided by the invention can be suitable for simultaneously extracting financial data in a plurality of companies, for example, a head company A exists, and the head company A comprises 3 full-capital subsidiaries which are a subsidiary company B, a subsidiary company C and a subsidiary company D respectively. The financial staff of the head office a needs to count the taxes that are actually paid by the three subsidiaries of the head office a in the year, and the collection range information in the financial data collection request corresponds to the subsidiaries B, the subsidiaries C and the subsidiaries D. The first target financial information in the financial data acquisition request is the tax amount actually paid in the year. The financial data may be of various types, such as actual income tax due, total profit, net asset value, etc., and the invention is not limited in any way as to the specific type of first objective financial information.
Step S120, acquiring first financial statements of all target companies based on the acquisition range information and the first target financial information to generate a first financial statement set, and extracting first financial acquisition information corresponding to each first financial statement and the first target financial information in the first financial statement set. According to the technical scheme provided by the invention, the first financial statements of all target companies are collected according to the collection range information and the first target financial information to generate the first financial statement set. The invention can determine a plurality of financial statements (such as annual tax return statement, asset liability statement, profit statement, detail account and the like) respectively corresponding to the subsidiary company B, the subsidiary company C and the subsidiary company D according to the acquisition range information. And if the first target financial information is the financial statement corresponding to the actual income tax amount, namely the annual tax payment reporting statement, all the first financial statements in the first financial statement set are the annual tax payment reporting statements corresponding to the subsidiary companies B, C and D respectively. The invention can extract the first financial collection information corresponding to each first financial statement in the first financial statement set and the first target financial information, namely, the actual annual tax amount corresponding to each annual tax return in the annual tax return is extracted at the moment. It can be understood that the type of the financial data in the first objective financial information, for example, said annual tax declaration form, profit form, actual tax amount due, total profit amount, net asset value, etc., and the first financial collection information is a corresponding value, for example, a value corresponding to 1 ten thousand actual tax amount due.
In a possible embodiment, as shown in fig. 2, step S120 specifically includes:
step S1201, a first name corresponding to the acquisition range information is acquired, and a company corresponding to the first name is acquired as a target company through traversal of the first name. The first name may be A, B, C, etc., and the present invention determines the corresponding target company according to the corresponding first name in the acquisition range information, where the first name is A, B, C, the companies corresponding to the first name are the subsidiary B, the subsidiary C, and the subsidiary D, and the subsidiary B, the subsidiary C, and the subsidiary D are the target companies.
According to the technical scheme provided by the invention, the plurality of companies can be distinguished through the first name to obtain the corresponding plurality of target companies.
Step S1202, a first dimension keyword in the first target financial information is obtained, and a first financial statement set is generated by traversing the financial statements corresponding to the first dimension keyword in the target company. The first dimension key words can be tax return reports, at this time, the invention can traverse all financial reports corresponding to each target company, determine the first financial report corresponding to each target company and the first dimension key words to generate a first financial report set, and at this time, all the financial reports in the first financial report set are annual tax return reports corresponding to all the target companies.
According to the technical scheme provided by the invention, the plurality of financial statements of each target company can be screened through the first dimension key words to obtain the first financial statement corresponding to each target company, and the first financial statement corresponding to each target company is counted to obtain the corresponding first financial statement set.
Step S1203, obtaining a second-dimension keyword in the first target financial information, and extracting first financial acquisition information corresponding to each first financial statement and the second-dimension keyword in the first financial statement set. The second dimension key word can be the actual tax amount obtained by the tax amount due to the tax amount, and the corresponding first financial collection information in the first financial statement is extracted according to the second dimension key word, wherein the first financial collection information is the annual tax amount due to the tax amount, and the annual tax amount due to the tax amount can be 1 thousand, 1 ten thousand and the like.
According to the technical scheme provided by the invention, the first financial acquisition information in the first financial statement corresponding to each target company can be screened through the second dimension keyword to obtain the corresponding first financial acquisition information. Through the steps S1201 to S1203, all the subsidiaries may be classified, all the reports corresponding to the subsidiaries may be classified, and the collection information of the corresponding reports may be extracted, so that the efficiency of collecting the financial data is improved.
Step S130, acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information to generate a second financial statement set, and extracting first associated acquisition information corresponding to each second financial statement and the first target associated information in the second financial statement set. According to the technical scheme provided by the invention, the corresponding first target associated information can be determined according to the first target financial information. Generally, in actual production and management activities, the values of various types in the financial data have a certain relationship, for example, the actual annual revenue income tax is positively correlated and proportional to the total profit margin. Therefore, in the technical solution provided by the present invention, the administrator can determine the associated financial data according to the actual financial scenario, i.e. associate the first target financial information with the corresponding first target associated information. Therefore, when the financial data is required to be collected each time, the first target related information corresponding to the first target financial information is determined first. According to the technical scheme provided by the invention, the second financial statements of all target companies are collected according to the collection range information and the first target association information to generate a second financial statement set. The invention can determine a plurality of financial statements (such as annual tax return statement, asset liability statement, profit statement, detail account and the like) respectively corresponding to the subsidiary company B, the subsidiary company C and the subsidiary company D according to the acquisition range information. And if the first target associated information is the financial statement corresponding to the profit, namely the annual tax return statement, and at the moment, all the second financial statements in the second financial statement set are the annual tax return statements corresponding to the subsidiary companies B, C and D respectively. The method extracts first target associated information corresponding to each second financial statement in the second financial statement set and the first target financial information, namely extracts the total profit amount corresponding to each annual tax return in the annual tax return, namely the first associated acquisition information.
In a possible implementation manner of the technical solution provided by the present invention, as shown in fig. 3, step S130 specifically includes:
step S1301, comparing the first target financial information with a preset correspondence table, and acquiring first target association information corresponding to the first target financial information, where the correspondence table has a correspondence between the first target financial information and the first target association information. According to the technical scheme provided by the invention, an administrator can preset a corresponding table according to an actual financial scene, wherein the corresponding table has a corresponding relation between first target financial information and first target associated information, for example, the actual annual income tax amount corresponds to the profit, the tax added deduction value corresponds to the research and development cost, and the like, and the corresponding relation between the first target financial information and the first target associated information is not limited.
Step S1302, obtaining a first dimension keyword in the first target associated information, and traversing the financial statements corresponding to the first dimension keyword in the target company to generate a second financial statement set. The first dimension key words can be tax return reports, at this time, the invention can traverse all the financial reports corresponding to each target company, determine the first financial reports corresponding to each target company and the first dimension key words to generate a second financial report set, and at this time, all the financial reports in the second financial report set are annual tax return reports corresponding to all the target companies.
Step S1303, a second-dimension keyword in the first-dimension target financial information is obtained, and first target association information corresponding to each financial statement in the second financial statement and the second-dimension keyword is extracted. The second dimension key word can be the gross profit, the invention can extract the corresponding first target associated information in the second financial statement according to the second dimension key word, at this moment, the first target associated information is the gross profit of the year, the concrete numerical value of the gross profit of the year is the first associated collected information, and the first associated collected information can be 0.5 thousand, 0.5 ten thousand and so on.
According to the technical scheme provided by the invention, the first target associated information in the second financial statement corresponding to each target company can be screened through the second dimension key words to obtain the corresponding first associated acquisition information. Through the steps S1301 to S1303, all the subsidiaries may be classified, all the reports corresponding to the subsidiaries may be classified, and the associated information of the corresponding reports may be extracted, so that the efficiency of acquiring the financial data is improved.
In the technical solution provided by the present invention, the first target financial information and the first target related information may be a noun, which does not have a corresponding scalar numerical value, for example, it is a tax amount actually obtained by the tax amount. The first target financial information may be a category of financial data of all companies that the user wants to make statistics on, and the first financial collection information and the first associated collection information are specific values of the corresponding financial data of each company.
Step S140, first financial acquisition information and first associated acquisition information which correspond to each target company respectively are obtained, the first financial acquisition information is verified based on the first associated acquisition information, all verified first financial acquisition information is used as second financial acquisition information, all second financial acquisition information is counted to generate a financial information set, and an acquisition report is generated based on the financial information set. According to the technical scheme provided by the invention, after the first financial collection information and the first associated collection information are obtained, the first financial collection information is verified according to the first associated collection information, and whether the value of the first financial collection information belongs to a normal range or not is judged through the first associated collection information. The invention will use the correct first financial acquisition information as the second financial acquisition information.
In a possible implementation manner of the technical solution provided by the present invention, step S140 specifically includes:
and acquiring a first numerical value corresponding to the first financial acquisition information and a second numerical value corresponding to the first associated acquisition information, and determining a first verification interval based on the second numerical value. According to the technical scheme provided by the invention, the first financial collection information and the first associated collection information respectively have corresponding numbers, for example, the actual tax amount obtained by the first financial collection information is 1 thousand and 1 ten thousand, and the total profit amount corresponding to the first associated collection information is 1 thousand and 1 ten thousand. The present invention determines the first verification interval according to the second value, for example, the second value is 1 ten thousand, and when the total profit amount is 1 ten thousand, the interval of the actual tax amount to be received by the target company may be 0.1 ten thousand with a value of 0.5 ten thousand.
The first authentication interval is determined by the following formula,
Figure 107370DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 279725DEST_PATH_IMAGE002
is the maximum value of the first verification interval,
Figure 434763DEST_PATH_IMAGE003
is the minimum value of the first verification interval,
Figure 641753DEST_PATH_IMAGE004
an upper offset value is set to be a value,
Figure 489623DEST_PATH_IMAGE005
is the value of the lower offset and is,
Figure 398542DEST_PATH_IMAGE006
is a second value of the first value,
Figure 357271DEST_PATH_IMAGE007
in order to convert the value for the financial coefficient,
Figure 418768DEST_PATH_IMAGE008
is a first weight value. The upper offset value and the lower offset value may be preset, for example, a certain company may have conditions of tax compensation, tax payment, and the like in the process of production and operation activities, and the corresponding upper offset value may be higher at this time, that is, the highest value of the first verification interval of the corresponding actual tax amount to be paid is higher at this time. For example, if the target company is a scientific and technological research and development type company, it may carry out more research and development works, and at this time, it may add and deduct research and development expenses when making tax returns, at this time, its cost increases according to a certain multiplying factor, and its actually received tax amount is reduced, at this time, its corresponding lower offset value may be lower, that is, at this time, the lowest value of the first verification interval of the actually received tax amount is lower. The method and the device can determine the corresponding first verification interval of the company according to the business type and the research and development condition of the company, and verify the first financial acquisition information according to the first verification interval.
And if the first numerical value is located in the first verification interval, the first financial acquisition information passes the verification. When the first value is located in the first verification interval, the first value is proved to be within a reasonable interval range at the moment, the first financial collection information passes verification at the moment, the first financial collection information is considered to be correct first financial collection information, and the collected first financial collection information is correct at the moment.
In a possible embodiment, the technical solution provided by the present invention further includes:
if the first numerical value is not located in the first verification interval, the first financial collection information is not verified, and the first financial collection information is output and displayed. When the first value is not within the first verification interval, then there may be 2 cases. The first condition 1 is that a first numerical value corresponding to the first financial acquisition information and a second numerical value corresponding to the first associated acquisition information are correct, and if a certain error occurs in the range of the first verification interval, no error occurs in the acquisition process of the financial data. The 2 nd condition is that an error value exists in a first value corresponding to the first financial acquisition information and a second value corresponding to the first associated acquisition information, that is, an error occurs in the acquisition process of the financial data, and the acquired first value and the acquired second value have an error.
And if the administrator actively inputs the determined data, the first financial collection information is not corrected, and the first financial collection information is directly used as second financial collection information. When the administrator actively inputs the determination data, it is proved that the situation 1 described above occurs at this time, that is, the first numerical value corresponding to the first financial acquisition information and the second numerical value corresponding to the first associated acquisition information are both correct, a certain error occurs in the range of the first verification interval, and at this time, the administrator needs to intervene, and the correct first financial acquisition information is used as the second financial acquisition information. In addition, at this time, it is necessary to adjust an upper offset value or a lower offset value for calculating the first verification interval.
In a possible embodiment, adjusting the upper offset value or the lower offset value based on the first financial acquisition information corresponding to the determined data includes:
if the first financial collection information corresponding to the data is determined to be larger than the upper limit value of the first verification interval, the upper offset value is adjusted through the following formula,
Figure 109644DEST_PATH_IMAGE009
wherein, the first and the second end of the pipe are connected with each other,
Figure 4394DEST_PATH_IMAGE010
for the adjusted upper offset value to be used,
Figure 766814DEST_PATH_IMAGE011
for the corrected first financial acquisition information,
Figure 948396DEST_PATH_IMAGE012
for the first financial acquisition information before correction,
Figure 872490DEST_PATH_IMAGE013
in order to be the first converted value, the first conversion value,
Figure 506733DEST_PATH_IMAGE014
is a first constant value. When the first financial collection information corresponding to the data is determined to be larger than the upper limit value of the first verification interval, the upper limit value of the first verification interval is proved to be smaller, the upper limit value of the first verification interval needs to be adjusted at the moment, and the upper limit value of the first verification interval is increased
Figure 807265DEST_PATH_IMAGE025
The larger the amplitude of the adjustment of the upper deviation value is, the larger the adjusted upper deviation value is
Figure 843354DEST_PATH_IMAGE010
The larger.
If the first financial collection information corresponding to the data is determined to be smaller than the lower limit value of the first verification interval, the lower offset value is adjusted through the following formula,
Figure 938349DEST_PATH_IMAGE015
Figure 59889DEST_PATH_IMAGE016
for the adjusted lower offset value of the offset value,
Figure 413378DEST_PATH_IMAGE017
is a second constant value. When the first financial acquisition information corresponding to the data is determined to be smaller than the lower limit value of the first verification interval, the lower limit value of the first verification interval is proved to be larger, the lower limit value of the first verification interval needs to be adjusted at the moment, and the lower limit value of the first verification interval is reduced
Figure 38395DEST_PATH_IMAGE026
The larger the lower offset value is, the larger the amplitude of the adjustment of the lower offset value is, and the adjusted lower offset value is
Figure 569870DEST_PATH_IMAGE016
The smaller.
Through the technical scheme, the upper deviation value or the lower deviation value can be adjusted according to the relation between the first financial collection information and the upper limit value or the lower limit value of the first verification interval, and then the calculation mode of the first verification interval is continuously updated, so that the first verification interval is more suitable for the calculation scene of the first verification interval of the current target company, and the accuracy of the verification of the first financial collection information is improved.
And if the administrator actively inputs the correction data, correcting the first financial collection information based on the correction data to obtain corrected first financial collection information, and taking the corrected first financial collection information as second financial collection information. After the administrator actively inputs the correction data, the fact that errors occur in the data acquisition process of the first financial collection information is proved, at the moment, the administrator needs to actively check the annual tax payment declaration form corresponding to the target company and determine the correct first financial collection information, at the moment, the administrator actively inputs the correction data when determining the correct first financial collection information, the corrected first financial collection information is obtained by correcting the first financial collection information according to the correction data, and the corrected first financial collection information is used as the second financial collection information. According to the technical scheme, after the first financial collection information is found to be wrong, active display and reminding can be carried out, and an administrator actively confirms the correct first financial collection information.
When the first financial collection information and the first associated collection information in the financial statement are collected, the information can be identified, determined and collected in the modes of natural language processing, machine vision and the like. The financial statement may be a scanned item or an Excel table, and the like, and the form of the financial statement and the specific way of extracting information in the financial statement are not limited in the present invention, and may be implemented based on the prior art, for example, the technologies of OCR character recognition of Tencent, and the like.
And S150, extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial collection information in the financial data set and the current time value to generate a first encryption value, and encrypting the collection report based on the first encryption value. According to the technical scheme provided by the invention, the first encryption value is generated according to the data with multiple dimensions, so that the first encryption value is dynamically generated on the premise of ensuring the complexity of the encryption value for encrypting the collection report, the first encryption value cannot be cracked, and the safety is higher.
In a possible implementation manner of the technical solution provided by the present invention, step S150 specifically includes:
the method comprises the steps of obtaining a first name of each target company in a financial data set, and obtaining an identification value corresponding to the first name in an identification corresponding table. The method obtains a first name of each target company, such as a subsidiary company B, a subsidiary company C and a subsidiary company D, and sets a corresponding identification value for each target company in advance, such as an identification value corresponding to the subsidiary company B being
Figure 178706DEST_PATH_IMAGE027
And the identifier value corresponding to the subsidiary company C is
Figure 555461DEST_PATH_IMAGE028
And the identifier value corresponding to the subsidiary company D is
Figure 566142DEST_PATH_IMAGE029
. The invention can carry out statistics on the identification values corresponding to all companies to generate a corresponding identification corresponding table, and the identification value of the target company can be determined according to the identification corresponding table when the first encryption value is generated.
And randomly sequencing the identification values corresponding to all the first names to obtain the identification character values of the first sequencing sequence. According to the technical scheme provided by the invention, the identification values corresponding to the first name can be randomly sequenced, for example, the identification values of the subsidiary company B, the subsidiary company C and the subsidiary company D are randomly sequenced into
Figure 268519DEST_PATH_IMAGE030
。
And obtaining a financial data character value corresponding to the financial data set according to the quantity value corresponding to each piece of second financial acquisition information in the financial data set. According to the technical scheme provided by the invention, the financial data character value corresponding to the financial data set can be obtained according to the quantity value corresponding to each piece of second financial acquisition information in the financial data set, for example, the quantity values corresponding to the subsidiary company B, the subsidiary company C and the subsidiary company D are 10001, 20002 and 30003 respectively.
According to the technical scheme provided by the invention, the step of obtaining the financial data character value corresponding to the financial data set according to the quantitative value corresponding to each piece of second financial acquisition information in the financial data set comprises the following steps:
the financial data character value is calculated by the following formula,
Figure 99072DEST_PATH_IMAGE018
wherein the content of the first and second substances,
Figure 295829DEST_PATH_IMAGE019
in the form of a financial data character value,
Figure 895438DEST_PATH_IMAGE020
is as follows
Figure 768716DEST_PATH_IMAGE021
The company weight value of the target company corresponding to the second financial collection information,
Figure 86565DEST_PATH_IMAGE022
is as follows
Figure 70701DEST_PATH_IMAGE021
The value of the second financial acquisition information,
Figure 790395DEST_PATH_IMAGE023
for the upper limit value of the second financial acquisition information,
Figure 834575DEST_PATH_IMAGE024
and collecting the quantity value of the information for the second finance. Will pass through
Figure 905299DEST_PATH_IMAGE031
Average value of the second financial collection information values corresponding to all the target companies is obtained
Figure 693126DEST_PATH_IMAGE032
The corresponding weight can be configured for the second financial collection information of all target companies, and then the corresponding calculated financial data character value is obtained, the company weight value of the target companies can be adjusted according to the numerical value of the second financial collection information of the companies, if the numerical value of the second financial collection information is large, the company weight value is small, similarly, if the numerical value of the second financial collection information is small, the company weight value is large, and then the calculated financial data character value is in the numerical value of a suitable digit each time.
And generating a first encryption value by using the identification character value, the financial data character value and the time character value corresponding to the current time value. According to the technical scheme provided by the invention, the second time character value is generated according to the identification character value, the financial data character value and the time character value corresponding to the current time valueA cryptographic value. For example, the identification character value is
Figure 251016DEST_PATH_IMAGE030
The financial data character value is 37400, the current time is 22:23:32 in 1 month and 15 days in 2021, the current time character value is 2021115222332, and the first encryption value at the moment is
Figure 466096DEST_PATH_IMAGE030
374002021115222332, the method can generate corresponding first encryption value according to the multiple dimension information of the collection report, which guarantees the security and secret of the collection report, and the first encryption value generated by the method can not be too large, and can also reduce the data processing amount. The collection report belongs to one of financial data.
The technical solution provided by the present invention further provides an association verification type acquisition apparatus suitable for financial data, as shown in fig. 4, including:
the request extraction module is used for extracting acquisition range information and first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company;
the acquisition information extraction module is used for acquiring first financial statements of all target companies based on the acquisition range information and the first target financial information to generate a first financial statement set, and extracting first financial acquisition information corresponding to each first financial statement in the first financial statement set and the first target financial information;
the associated information extraction module is used for acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information to generate a second financial statement set, and extracting first associated acquisition information corresponding to the first target associated information of each second financial statement in the second financial statement set;
the system comprises an association verification module, a financial information collection module and a collection report module, wherein the association verification module is used for acquiring first financial collection information and first target association information which correspond to each target company respectively, verifying the first financial collection information based on the first target association information, taking all verified first financial collection information as second financial collection information, counting all the second financial collection information to generate a financial information set, and generating a collection report based on the financial information set;
and the encryption processing module is used for extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial acquisition information in the financial data set and the current time value to generate a first encryption value, and encrypting the acquisition report based on the first encryption value.
The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: it is to be understood that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for a part or all of the technical features thereof without departing from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. The correlation verification type acquisition method suitable for financial data is characterized by comprising the following steps:
extracting acquisition range information and first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company;
acquiring first financial statements of all target companies based on the acquisition range information and first target financial information, generating a first financial statement set, and extracting first financial acquisition information corresponding to each first financial statement in the first financial statement set and the first target financial information;
acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information, generating a second financial statement set, and extracting first associated acquisition information corresponding to each second financial statement and the first target associated information in the second financial statement set;
acquiring first financial acquisition information and first associated acquisition information which correspond to each target company respectively, verifying the first financial acquisition information based on the first associated acquisition information, taking all verified first financial acquisition information as second financial acquisition information, counting all the second financial acquisition information to generate a financial information set, and generating an acquisition report based on the financial information set;
and extracting an identification value corresponding to each target company in the financial data set, a quantity value corresponding to each second financial collection information in the financial data set and a current time value to generate a first encryption value, and encrypting the collection report based on the first encryption value.
2. A method of confirmatory acquisition of financial data as defined in claim 1,
in the process of acquiring first financial statements of all target companies and generating a first financial statement set based on the acquisition range information and the first target financial information, and extracting first financial acquisition information corresponding to each first financial statement and the first target financial information in the first financial statement set, the following contents are specifically included:
acquiring a first name corresponding to the acquisition range information, traversing the first name and acquiring a company corresponding to the first name as a target company;
acquiring a first-dimension keyword in the first target financial information, and traversing financial statements corresponding to the first-dimension keyword in the target company to generate a first financial statement set;
and acquiring a second-dimension keyword in the first target financial information, and extracting first financial acquisition information corresponding to each first financial statement and the second-dimension keyword in the first financial statement set.
3. A method of confirmatory acquisition of financial data as defined in claim 2,
in the process of acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information, generating a second financial statement set, and extracting first associated acquisition information corresponding to each second financial statement and the first target associated information in the second financial statement set, the method specifically includes the following contents:
comparing first target financial information with a preset corresponding table to acquire first target associated information corresponding to the first target financial information, wherein the corresponding table has a corresponding relation between the first target financial information and the first target associated information;
acquiring a first-dimension keyword in the first target associated information, traversing financial statements corresponding to the first-dimension keyword in the target company to generate a second financial statement set;
and acquiring a second-dimension keyword in the first target financial information, and extracting first associated acquisition information corresponding to each financial statement and the second-dimension keyword in the second financial statement.
4. A method of confirmatory acquisition of financial data as defined in claim 3,
the method comprises the steps of acquiring first financial acquisition information and first associated acquisition information corresponding to each target company, verifying the first financial acquisition information based on the first associated acquisition information, taking all verified first financial acquisition information as second financial acquisition information, counting all the second financial acquisition information to generate a financial information set, and specifically comprising the following contents in the process of generating an acquisition report based on the financial information set:
acquiring a first numerical value corresponding to the first financial acquisition information and a second numerical value corresponding to the first associated acquisition information, and determining a first verification interval based on the second numerical value;
the first authentication interval is determined by the following formula,
Figure 598843DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 407661DEST_PATH_IMAGE002
is the maximum value of the first verification interval,
Figure 452977DEST_PATH_IMAGE003
is the minimum value of the first verification interval,
Figure 113766DEST_PATH_IMAGE004
for the purpose of the upper offset value,
Figure 193717DEST_PATH_IMAGE005
is the value of the lower offset and is,
Figure 157125DEST_PATH_IMAGE006
is a second value of the first value,
Figure 424159DEST_PATH_IMAGE007
in order to convert the value for the financial coefficient,
Figure 888638DEST_PATH_IMAGE008
is a first weight value;
and if the first numerical value is located in the first verification interval, the first financial collection information passes verification.
5. A method of confirmatory acquisition of financial data as defined in claim 4,
if the first numerical value is not located in the first verification interval, the first financial collection information is not verified, and the first financial collection information is output and displayed;
if the administrator actively inputs the determined data, the first financial collection information is not corrected, and the first financial collection information is directly used as second financial collection information;
if the administrator actively inputs correction data, correcting the first financial collection information based on the correction data to obtain corrected first financial collection information, and taking the corrected first financial collection information as second financial collection information;
and adjusting the upper offset value or the lower offset value based on the first financial collection information corresponding to the determined data.
6. The method of claim 5, wherein the step of associating confirmatory capture of financial data,
in the process of adjusting the upper offset value or the lower offset value based on the first financial acquisition information corresponding to the determined data, the method specifically includes the following steps:
if the first financial collection information corresponding to the data is determined to be larger than the upper limit value of the first verification interval, the upper offset value is adjusted through the following formula,
Figure 823096DEST_PATH_IMAGE009
wherein the content of the first and second substances,
Figure 82039DEST_PATH_IMAGE010
for the adjusted upper offset value to be used,
Figure 226581DEST_PATH_IMAGE011
for the corrected first financial acquisition information,
Figure 229172DEST_PATH_IMAGE012
for the first financial acquisition information before correction,
Figure 18137DEST_PATH_IMAGE013
in order to be the first converted value, the first conversion value,
Figure 713560DEST_PATH_IMAGE014
is a first constant value;
if the first financial collection information corresponding to the data is determined to be smaller than the lower limit value of the first verification interval, the lower offset value is adjusted through the following formula,
Figure DEST_PATH_IMAGE015
Figure 361711DEST_PATH_IMAGE016
for the adjusted lower offset value of the offset value,
Figure 902413DEST_PATH_IMAGE017
is a second constant value.
7. A method of confirmatory acquisition of financial data as defined in claim 5,
the method specifically comprises the following steps of extracting an identification value corresponding to each target company in the financial data set, a quantity value corresponding to each second financial collection information in the financial data set and a current time value to generate a first encryption value, and encrypting the collection report based on the first encryption value:
acquiring a first name of each target company in a financial data set, and acquiring an identification value corresponding to the first name in an identification corresponding table;
randomly sequencing the identification values corresponding to all the first names to obtain identification character values of a first sequencing sequence;
obtaining a financial data character value corresponding to the financial data set according to the quantity value corresponding to each piece of second financial acquisition information in the financial data set;
and generating a first encryption value by using the identification character value, the financial data character value and the time character value corresponding to the current time value.
8. A method of confirmatory acquisition of financial data as defined in claim 7,
in the process of obtaining the financial data character value corresponding to the financial data set according to the quantitative value corresponding to each piece of second financial acquisition information in the financial data set, the method specifically includes the following steps:
the financial data character value is calculated by the following formula,
Figure 545884DEST_PATH_IMAGE018
wherein the content of the first and second substances,
Figure 146630DEST_PATH_IMAGE019
in the form of a financial data character value,
Figure 764300DEST_PATH_IMAGE020
is as follows
Figure 108693DEST_PATH_IMAGE021
The company weight value of the target company corresponding to the second financial collection information,
Figure 872250DEST_PATH_IMAGE022
is as follows
Figure 909476DEST_PATH_IMAGE021
The value of the second financial acquisition information,
Figure 1060DEST_PATH_IMAGE023
for the upper limit value of the second financial acquisition information,
Figure 149145DEST_PATH_IMAGE024
collecting quantitative values of information for a second financial transaction。
9. Correlation verification formula collection system suitable for financial data, its characterized in that includes:
the request extraction module is used for extracting acquisition range information and first target financial information in the financial data acquisition request, wherein the acquisition range information comprises at least one target company;
the acquisition information extraction module is used for acquiring first financial statements of all target companies based on the acquisition range information and the first target financial information to generate a first financial statement set, and extracting first financial acquisition information corresponding to the first target financial information in each first financial statement in the first financial statement set;
the associated information extraction module is used for acquiring first target associated information corresponding to the first target financial information, acquiring second financial statements of all target companies based on the acquisition range information and the first target associated information to generate a second financial statement set, and extracting first associated acquisition information corresponding to the first target associated information of each second financial statement in the second financial statement set;
the system comprises an association verification module, a financial information collection module and a financial information collection module, wherein the association verification module is used for acquiring first financial collection information and first target association information which correspond to each target company respectively, verifying the first financial collection information based on the first target association information, taking all verified first financial collection information as second financial collection information, counting all the second financial collection information to generate a financial information set, and generating a collection report based on the financial information set;
and the encryption processing module is used for extracting the identification value corresponding to each target company in the financial data set, the quantity value corresponding to each second financial acquisition information in the financial data set and the current time value to generate a first encryption value, and encrypting the acquisition report based on the first encryption value.
10. Storage medium, characterized in that a computer program is stored in the storage medium, which computer program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 8.
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