CN112819599A - Enterprise finance and tax accounting management system based on block chain - Google Patents
Enterprise finance and tax accounting management system based on block chain Download PDFInfo
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- CN112819599A CN112819599A CN202110202020.7A CN202110202020A CN112819599A CN 112819599 A CN112819599 A CN 112819599A CN 202110202020 A CN202110202020 A CN 202110202020A CN 112819599 A CN112819599 A CN 112819599A
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
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Abstract
The invention discloses an enterprise finance and tax accounting management system based on a block chain, which comprises a central server, wherein a data acquisition module is in communication connection with the central server, a plurality of data acquisition sub-modules are in communication connection with the data acquisition module, a database is in communication connection with the central server, a data evaluation module is in communication connection with the central server, a block chain management module is in communication connection with the central server, a user number retrieval module is in communication connection with the central server, and a data processing module is in communication connection with the central server. The invention can realize data acquisition, evaluation, management, retrieval and processing among block chains, ensure that the data management is safer, effectively reduce risks, can process data types which have huge structures, are complex and are difficult to manage within a very short time, and greatly improve the financial and tax accounting management capability of enterprises.
Description
Technical Field
The invention relates to the technical field of finance and tax management, in particular to an enterprise finance and tax accounting management system based on a block chain.
Background
With the rapid development of the internet technology, the internet has entered into the aspects of people's life, bringing a lot of convenience to various aspects of people. For enterprise fiscal accounting management, people are distinguished from traditional statistics and processing mainly by means of manpower, and fiscal data are processed through a network.
A large amount of data are generated in the process of enterprise finance and tax accounting management, most of the existing enterprise finance and tax accounting management systems are independent, and data acquisition, evaluation, management, retrieval and processing among block chains cannot be realized, so that the data management is not safe enough, the risk is high, the data types which are large in number, complex and difficult to manage cannot be processed, and the enterprise finance and tax accounting management capability is not enough.
Disclosure of Invention
The invention aims to provide an enterprise finance and tax accounting management system based on block chains, which can realize data acquisition, evaluation, management, retrieval and processing among the block chains, ensure that the data management is safer, effectively reduce risks, can process data types which have huge structures, are complex and are difficult to manage within a very short time, and greatly improve enterprise finance and tax accounting management capability so as to solve the problems provided in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a block chain based enterprise finance and tax accounting management system, comprising:
the central server is used for processing data and ensuring the normal work of each module;
the data acquisition module is in communication connection with the central server and is used for acquiring data;
the data acquisition sub-modules are in communication connection with the data acquisition module and used for acquiring block data through a plurality of block chain data nodes and sending the block data to the data acquisition module;
the database is in communication connection with the central server and is used for storing and calling block data;
the data evaluation module is in communication connection with the central server and is used for evaluating the weight of the block data;
the block chain management module is in communication connection with the central server, is used for maintaining identity information in the block chain and node identity information contained in the block chain, and is responsible for being in butt joint with the block chain;
the data retrieval module is in communication connection with the central server and is used for retrieving and extracting block data in the database according to retrieval elements;
and the data processing module is in communication connection with the central server and is used for processing the block data extracted by the data retrieval module.
The enterprise finance and tax accounting management system based on the block chain preferably further comprises an early warning module, wherein the early warning module is in communication connection with the central server and is used for early warning when a user abnormally accesses the enterprise finance and tax accounting management system.
The system for managing enterprise finance and tax accounting based on the block chain preferably further comprises an encryption module, wherein the encryption module is in communication connection with the central server and is used for encrypting the block data stored in the database.
The system preferably further comprises a data desensitization module, wherein the data desensitization module is used for fuzzifying sensitive data.
Preferably, the data processing module processes the block data by using an improved ant colony algorithm.
Preferably, as an enterprise finance and tax accounting management system based on a blockchain in the present invention, the improved ant colony algorithm includes the following steps:
s11, initializing block data, selecting an initialized total group yt of the data, setting yt to ymax, enabling the block data to serve as ant elements, initializing all elements of an ant element matrix to be 0 at the beginning, and then randomly selecting the initial positions of the ant elements;
s12, randomly placing m ant elements at n positions, setting the cycle times of the ant elements for searching a path as Nc, and circulating according to the sequence of Nc + 1;
s13, setting the index number k of the ant element taboo list to be 1, and circulating through k + 1;
s14, calculating the probability of the ant selecting the position j according to a state transition probability formula of the following formula;
wherein, δ is visibility factor, the visibility factor represents reciprocal of distance between different positions, α is relatively important parameter of pheromone concentration, β is relatively important index of visibility factor, Node is a set of positions which are directly connected with the position i and where ant elements do not pass yet;
s15, selecting a position with the maximum state transition probability, moving the ant elements to the position with the maximum state transition probability, and recording the position into a taboo table;
s16, if all the positions in the set are visited, enabling k to be smaller than m, wherein m is the number of the positions, executing a cycle operation through k +1, and if all the positions in the set are not visited, updating the information quantity on each path;
s17, checking a termination condition, and checking whether the termination condition is met, wherein the termination condition is that the probability of selecting the position j by the ant is greater than 85%, and if the termination condition is met, performing further operation;
s18, judging whether a new group is formed, if the termination condition is that the probability of selecting the position j by the ant is less than 85%, forming the new group, updating the pheromone matrix again, wherein the updating method is to recalculate the minimum data matrix D;
and S19, judging whether a termination genetic condition is met, and outputting a processing result if the termination genetic condition is that the probability of the ant selecting the position j is more than 85% when the termination genetic condition is met.
Preferably, as an enterprise finance and tax accounting management system based on a block chain, the data evaluation module evaluates the weight of the block data, and includes:
s21, carrying out normalization processing on each index of the block data;
s22, determining the weight of each index of the block data;
and S23, generating an evaluation model according to each index of the determined block data and the corresponding weight value of the index.
Preferably, in the system for managing financial and tax accounting of an enterprise based on a block chain, in the step S23, a weighted summation method is used to obtain an evaluation model S for each index of block dataWECC：
In the formula, SWECCIs a comprehensive evaluation index of each index of block data, siIs the fraction value, omega, of the ith index in the index layeriIs the weight of the ith index in the index layer, and m is the number of indexes.
Compared with the prior art, the invention has the beneficial effects that:
the invention collects block data through a plurality of block chain data nodes by a plurality of data collection sub-modules respectively and sends the block data to a data collection module, the data is collected through the data collection module and stored in a database, the block data is called through the database, the weight of the block data is evaluated through a data evaluation module, finally, identity information in a block chain and node identity information contained in the block chain are maintained through a block chain management module and are in charge of being in butt joint with the block chain, the block data in the database is retrieved and extracted according to retrieval factors through a data retrieval module, and the block data extracted by the data retrieval module is processed through a data processing module The complex and difficult-to-manage data types can be processed in a very short time, and the financial and tax accounting management capability of enterprises is greatly improved.
Drawings
FIG. 1 is a system diagram of an enterprise finance and tax accounting management system based on block chains according to the present invention;
FIG. 2 is a schematic flow chart of an improved ant colony algorithm of the block chain-based enterprise tax and finance billing management system according to the present invention;
FIG. 3 is a schematic flow chart illustrating the process of evaluating the weight of the block data by the data evaluation module of the enterprise finance and tax accounting management system based on the block chain according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Examples
Referring to fig. 1-3, the present invention provides a technical solution:
a block chain based enterprise finance and tax accounting management system, comprising:
the central server is used for processing data and ensuring the normal work of each module;
the data acquisition module is in communication connection with the central server and is used for acquiring data;
the data acquisition sub-modules are in communication connection with the data acquisition module and used for acquiring block data through a plurality of block chain data nodes and sending the block data to the data acquisition module;
the database is in communication connection with the central server and is used for storing and calling block data;
the data evaluation module is in communication connection with the central server and is used for evaluating the weight of the block data;
the block chain management module is in communication connection with the central server, is used for maintaining identity information in the block chain and node identity information contained in the block chain, and is responsible for being in butt joint with the block chain;
the data retrieval module is in communication connection with the central server and is used for retrieving and extracting block data in the database according to retrieval elements;
and the data processing module is in communication connection with the central server and is used for processing the block data extracted by the data retrieval module.
The technical optimization scheme of the invention further comprises an early warning module, wherein the early warning module is in communication connection with the central server and is used for early warning when a user abnormally accesses the system.
The technical optimization scheme of the invention further comprises an encryption module, wherein the encryption module is in communication connection with the central server and is used for encrypting the block data stored in the database.
The data desensitization module is used for performing fuzzification processing on the sensitive data.
As a technical optimization scheme of the invention, the data processing module processes the block data by using an improved ant colony algorithm.
As a technical optimization scheme of the present invention, the improved ant colony algorithm includes the steps of:
s11, initializing block data, selecting an initialized total group yt of the data, setting yt to ymax, enabling the block data to serve as ant elements, initializing all elements of an ant element matrix to be 0 at the beginning, and then randomly selecting the initial positions of the ant elements;
s12, randomly placing m ant elements at n positions, setting the cycle times of the ant elements for searching a path as Nc, and circulating according to the sequence of Nc + 1;
s13, setting the index number k of the ant element taboo list to be 1, and circulating through k + 1;
s14, calculating the probability of the ant selecting the position j according to a state transition probability formula of the following formula;
wherein, δ is visibility factor, the visibility factor represents reciprocal of distance between different positions, α is relatively important parameter of pheromone concentration, β is relatively important index of visibility factor, Node is a set of positions which are directly connected with the position i and where ant elements do not pass yet;
s15, selecting a position with the maximum state transition probability, moving the ant elements to the position with the maximum state transition probability, and recording the position into a taboo table;
s16, if all the positions in the set are visited, enabling k to be smaller than m, wherein m is the number of the positions, executing a cycle operation through k +1, and if all the positions in the set are not visited, updating the information quantity on each path;
s17, checking a termination condition, and checking whether the termination condition is met, wherein the termination condition is that the probability of selecting the position j by the ant is greater than 85%, and if the termination condition is met, performing further operation;
s18, judging whether a new group is formed, if the termination condition is that the probability of selecting the position j by the ant is less than 85%, forming the new group, updating the pheromone matrix again, wherein the updating method is to recalculate the minimum data matrix D;
and S19, judging whether a termination genetic condition is met, and outputting a processing result if the termination genetic condition is that the probability of the ant selecting the position j is more than 85% when the termination genetic condition is met.
As a technical optimization scheme of the present invention, the evaluating the weight of the block data by the data evaluating module includes:
s21, carrying out normalization processing on each index of the block data;
s22, determining the weight of each index of the block data;
and S23, generating an evaluation model according to each index of the determined block data and the corresponding weight value of the index.
As a technical optimization scheme of the present invention, in S23, a weighted summation method is used to obtain an evaluation model S for each index of block dataWECC：
In the formula, SWECCIs a comprehensive evaluation index of each index of block data, siIs the fraction value, omega, of the ith index in the index layeriIs the weight of the ith index in the index layer, and m is the number of indexes.
In summary, the invention collects block data through a plurality of data collection sub-modules respectively through a plurality of block chain data nodes and sends the block data to a data collection module, collects the data through the data collection module and stores the data in a database, calls the block data through the database, evaluates the weight of the block data through a data evaluation module, maintains identity information in a block chain and node identity information contained in the block chain through a block chain management module, is in charge of docking with the block chain, searches and extracts the block data in the database according to search factors through a data search module, and processes the block data extracted by the data search module through a data processing module, so that the invention can realize data collection, evaluation, management, search and processing among the block chains, ensure that the data management is safer, and effectively reduce risks, the method can process data types which have huge structures, are complex and are difficult to manage within a very short time, and greatly improves the financial and tax accounting management capability of enterprises.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A block chain-based enterprise finance and tax accounting management system is characterized by comprising:
the central server is used for processing data and ensuring the normal work of each module;
the data acquisition module is in communication connection with the central server and is used for acquiring data;
the data acquisition sub-modules are in communication connection with the data acquisition module and used for acquiring block data through a plurality of block chain data nodes and sending the block data to the data acquisition module;
the database is in communication connection with the central server and is used for storing and calling block data;
the data evaluation module is in communication connection with the central server and is used for evaluating the weight of the block data;
the block chain management module is in communication connection with the central server, is used for maintaining identity information in the block chain and node identity information contained in the block chain, and is responsible for being in butt joint with the block chain;
the data retrieval module is in communication connection with the central server and is used for retrieving and extracting block data in the database according to retrieval elements;
and the data processing module is in communication connection with the central server and is used for processing the block data extracted by the data retrieval module.
2. The system for managing the fiscal accounting of enterprises based on block chains as claimed in claim 1, wherein: the early warning module is in communication connection with the central server and is used for early warning when a user visits abnormally.
3. The system for managing the fiscal accounting of enterprises based on block chains as claimed in claim 1, wherein: the system also comprises an encryption module, wherein the encryption module is in communication connection with the central server and is used for encrypting the block data stored in the database.
4. The system for managing the fiscal accounting of enterprises based on block chains as claimed in claim 1, wherein: the device also comprises a data desensitization module which is used for fuzzifying the sensitive data.
5. The system for managing enterprise finance and tax accounting based on the blockchain as claimed in claim 1, wherein the data processing module processes the blockchain data by using an improved ant colony algorithm.
6. The system for managing enterprise finance and tax accounting based on the blockchain according to claim 5, wherein the improved ant colony algorithm comprises the following steps:
s11, initializing block data, selecting an initialized total group yt of the data, setting yt to ymax, enabling the block data to serve as ant elements, initializing all elements of an ant element matrix to be 0 at the beginning, and then randomly selecting the initial positions of the ant elements;
s12, randomly placing m ant elements at n positions, setting the cycle times of the ant elements for searching a path as Nc, and circulating according to the sequence of Nc + 1;
s13, setting the index number k of the ant element taboo list to be 1, and circulating through k + 1;
s14, calculating the probability of the ant selecting the position j according to a state transition probability formula of the following formula;
wherein, δ is visibility factor, the visibility factor represents reciprocal of distance between different positions, α is relatively important parameter of pheromone concentration, β is relatively important index of visibility factor, Node is a set of positions which are directly connected with the position i and where ant elements do not pass yet;
s15, selecting a position with the maximum state transition probability, moving the ant elements to the position with the maximum state transition probability, and recording the position into a taboo table;
s16, if all the positions in the set are visited, enabling k to be smaller than m, wherein m is the number of the positions, executing a cycle operation through k +1, and if all the positions in the set are not visited, updating the information quantity on each path;
s17, checking a termination condition, and checking whether the termination condition is met, wherein the termination condition is that the probability of selecting the position j by the ant is greater than 85%, and if the termination condition is met, performing further operation;
s18, judging whether a new group is formed, if the termination condition is that the probability of selecting the position j by the ant is less than 85%, forming the new group, updating the pheromone matrix again, wherein the updating method is to recalculate the minimum data matrix D;
and S19, judging whether a termination genetic condition is met, and outputting a processing result if the termination genetic condition is that the probability of the ant selecting the position j is more than 85% when the termination genetic condition is met.
7. The system of claim 1, wherein the data evaluation module evaluates the weight of the block data and comprises:
s21, carrying out normalization processing on each index of the block data;
s22, determining the weight of each index of the block data;
and S23, generating an evaluation model according to each index of the determined block data and the corresponding weight value of the index.
8. The system according to claim 7, wherein the block chain-based enterprise finance and tax accounting management system at S23 adopts a weighted summation method to obtain an evaluation model S for each index of block dataWECC：
In the formula, SWECCIs a comprehensive evaluation index of each index of block data, siIs the fraction value, omega, of the ith index in the index layeriIs the weight of the ith index in the index layer, and m is the number of indexes.
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Cited By (1)
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