CN115082046A - Block chain-based enterprise one-set table tracing management system - Google Patents
Block chain-based enterprise one-set table tracing management system Download PDFInfo
- Publication number
- CN115082046A CN115082046A CN202211009750.6A CN202211009750A CN115082046A CN 115082046 A CN115082046 A CN 115082046A CN 202211009750 A CN202211009750 A CN 202211009750A CN 115082046 A CN115082046 A CN 115082046A
- Authority
- CN
- China
- Prior art keywords
- enterprise
- development
- coefficient
- marking
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/177—Editing, e.g. inserting or deleting of tables; using ruled lines
- G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
Abstract
The invention belongs to the field of data enterprise standing book management, relates to a data analysis technology, and is used for solving the problem that the existing table tracing management system cannot monitor and analyze the enterprise development compliance through standing book data, in particular to a block chain-based table tracing management system for an enterprise, which comprises an enterprise client and a supervision statistical end, wherein the enterprise client is in communication connection with the supervision statistical end through a server, the enterprise client comprises a management platform, the management platform is in communication connection with an uploading module, a template adaptation module, a development management module and a storage module, and the supervision statistical end is in communication connection with a development monitoring module and a block chain network; the invention realizes the non-tampering property of the ledger data by using a hash function encryption mode, transaction data on a block chain meets the characteristic of traceability on the basis of non-tampering, and the traceability function is mainly realized by the mode combination of time stamp service and chain connection between blocks.
Description
Technical Field
The invention relates to the technical field of enterprise standing book management, in particular to a block chain-based enterprise set of table tracing management system.
Background
The 'one-set table' investigation unit is a legal person unit which adopts a networking direct reporting mode to directly report statistical data for the industries above scale, the construction industry with qualification, the wholesale and retail industries above quota, the lodging and catering industries above quota, all real estate development with development and operation activities through business, the service industry above scale and other building projects above 5000 ten thousand yuan;
enterprise statistics work status and problem complexity, diversity and variability of enterprise internal management, a set of complete and standard basic accounting system and management standard of statistics and connection with a networking direct reporting system are not formed at the data source, difficulty in obtaining source data is increased continuously, enterprise statistics personnel face heavy work and low efficiency, and meanwhile, risk of data distortion exists;
the existing table tracing management system has huge amount of ledger data, an enterprise client side has high complexity and difficulty in enterprise development state management through ledger data, and a supervision and statistics end lacks functions of monitoring and analyzing the development trend compliance of an enterprise and automatically early warning, so that an enterprise developing in violation of rules cannot be supervised;
in view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a block chain-based enterprise table tracing management system for solving the problem that the conventional table tracing management system cannot monitor and analyze the enterprise development compliance through ledger data.
The purpose of the invention can be realized by the following technical scheme:
the enterprise set of table tracing management system based on the block chain comprises an enterprise client and a supervision statistical end, wherein the enterprise client is in communication connection with the supervision statistical end through a server, the enterprise client is in communication connection with an uploading module, a template adapting module, a development management module and a storage module, and the supervision statistical end is in communication connection with a development monitoring module and a block chain network;
the uploading module is used for processing and uploading the standing book data by the enterprise user;
the template adaptation module is used for carrying out ledger data analysis on an enterprise and obtaining a scale coefficient GM and a development coefficient FZ, obtaining a corresponding scale grade by comparing the scale coefficient GM with a scale threshold value, obtaining a corresponding development grade by comparing the development coefficient FZ with a development threshold value, obtaining a number corresponding to the industry to which the enterprise belongs, and generating a matching formula in the form of A + B + C, wherein A is the number of the industry to which the enterprise belongs, B is the scale grade of the enterprise, and C is the development grade of the enterprise; calling the ledger template corresponding to the matching formula from the ledger template library and marking as a matching module;
the development management module is used for managing and analyzing the development state of the enterprise and obtaining an evolution coefficient FT, and judging whether the development state of the enterprise meets the requirement or not according to the numerical value of the evolution coefficient FT;
the development monitoring module is used for monitoring and analyzing the development trend of the enterprise.
As a preferred embodiment of the present invention, a specific process of processing and uploading the ledger data by the upload module includes: the application authorization of the block chain trusted organization identity platform is obtained, the platform account is initialized, the user maintains and confirms enterprise information, the platform account template matching is carried out on the enterprise according to the enterprise information through the template adapting module, a matching template is obtained, the enterprise information is accessed into the matching template, and the user reviews the platform account detail indexes and judges whether the detail indexes are normal or not:
if the platform account is normal, the user confirms and executes the platform account details to make a statistic platform account task;
if not, the enterprise information is accessed into the matching template again until the detail index is normal;
checking and confirming the electronic statistical ledger to make a set of tables based on the block chain; the mode that enterprise information inserts the standing book template includes interface mode and import mode, and interface mode includes: the system times tasks, generates ledger details, and times task processes and result private chain evidence storage; the import mode includes: and (4) exporting the EXCEL template by the user, importing the EXCEL template after filling, generating the ledger detail, and storing the import process and the result.
As a preferred embodiment of the present invention, the process of obtaining the size coefficient GM of the enterprise includes: the method comprises the steps of obtaining a total area value of an enterprise office area in enterprise information, marking the total area value as MJ, obtaining the number of registered staff in the enterprise information, marking the number of the registered staff as RY, obtaining registered fund in the enterprise information, marking the registered fund as ZC, and obtaining a scale coefficient GM of the enterprise by carrying out numerical calculation on the MJ, the RY and the ZC.
As a preferred embodiment of the present invention, the process of acquiring the development coefficient FZ of the enterprise includes: and acquiring a net asset value in the enterprise information and marking the net asset value as JZ, acquiring the number of registered management personnel in the enterprise information and marking the number as GL, acquiring a total value of the tax amount paid in the current quarter in the enterprise information and marking the total value as SE, and obtaining a development coefficient FZ of the enterprise by carrying out numerical calculation on the JZ, the GL and the SE.
As a preferred embodiment of the present invention, the specific process of determining whether the development status of the enterprise meets the requirement includes: acquiring an attitude threshold FTmin through a storage module, and comparing the attitude coefficient FT with the attitude threshold FTmin: if the attitude coefficient FT is less than or equal to the attitude threshold FTmin, judging that the development state of the enterprise does not meet the requirement, and sending an unqualified development signal to the enterprise client by the development management module; and if the evolution coefficient FT is larger than the evolution threshold FTmin, judging that the development state of the enterprise meets the requirement, and sending a development qualification message to the enterprise client by the development management module.
As a preferred embodiment of the present invention, the specific process of the development monitoring module for monitoring and analyzing the development trend of the enterprise includes: establishing a rectangular coordinate system by taking the standing book reporting time as an X axis and taking the scale coefficient of the enterprise as a Y axis, and marking a scale point G in the rectangular coordinate system i And development point F i I represents the order of the times of standing book declaration, i =1, 2, …, n, n is a positive integer, and the scale point G n The abscissa of the table is the time of performing the standing book declaration for the nth time of the enterprise, and the ordinate is the scale coefficient of performing the standing book declaration for the nth time of the enterprise; development point F n The horizontal coordinate is the time and the vertical coordinate of the nth standing book declaration of the enterpriseCarrying out standing book declaration development coefficient for the nth time of the enterprise; will develop point G i-1 And F i Connecting the wires to obtain n-1 line segments, marking the n-1 line segments as regular sending line segments, sequencing the regular sending line segments according to the sequence of horizontal coordinate numerical values from small to large, obtaining the slope value of the regular sending line segments and marking the regular sending line segments as regular sending values GF, obtaining a warning threshold value JS and an early warning threshold value YJ through a storage module, and comparing the regular sending values GF of the regular sending line segments with the warning threshold value JS and the early warning threshold value YJ: if GF is less than or equal to JS, marking the corresponding hair planning line segment as a common line segment; if JS is less than GF and less than YJ, marking the corresponding regular sending line segment as a warning line segment; if GF is more than or equal to YJ, marking the corresponding regular sending line segment as an early warning line segment; and judging whether the enterprise is marked as an early warning enterprise or not through the occurrence times of the early warning line segments and the warning line segments.
As a preferred embodiment of the present invention, the process of determining whether to mark a business as an early warning business comprises: when an early warning line segment appears in the regular sending line segment, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and an early warning signal to a supervision and statistics end; when an alarm line segment appears in the regular emission line segment, marking the front L1 regular emission line segments and the rear L1 regular emission line segments corresponding to the alarm line segment as analysis line segments, acquiring the number of the alarm line segments in the analysis line segments and marking the alarm line segments as L2, acquiring a continuous coefficient LX through a formula LX = L2/2L 1, acquiring a continuous threshold value LXMax through a storage module, and comparing the continuous coefficient LX with the continuous threshold value LXMax: if the continuous coefficient LX is smaller than a continuous threshold value Lxmax, no early warning is performed; and if the continuous coefficient LX is greater than or equal to the continuous threshold value LXMax, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and the early warning signal to a supervision and statistics end by the development monitoring module.
As a preferred embodiment of the present invention, the block chain network includes a plurality of blocks, each block includes a block header and a block body, the block header is used for encapsulating the hash value of the leading block header, the current block and the leading block are connected to form a chain structure, and the sequence of the blocks in each block chain is confirmed by the sequence of adding timestamps.
Compared with the prior art, the invention has the beneficial effects that:
1. the method has the advantages that the uncollability of the ledger data is achieved by means of Hash function encryption, transaction data on a block chain meet traceability characteristics on the basis of the uncollability, a traceability function is achieved mainly through mode combination of timestamp service and chain connection between blocks, based on the characteristics, a solid trust foundation is established by a block chain technology, a reliable cooperation mechanism is created, and the method has a wide application prospect;
2. the template adaptation module can be used for matching the account template for the enterprise, and the most appropriate account template is screened from the account template library through the scale state and the development state of account data of the enterprise, so that the data import efficiency and the success rate of an enterprise user side are improved, and the data uploading efficiency is accelerated;
3. the development management module can manage and analyze the development state of the enterprise, timely perform early warning when the development state of the enterprise does not meet the requirement, and visually feed back the real development state of the enterprise to the enterprise client so that enterprise managers can make development decisions according to the real development state;
4. the development trend of enterprise can be monitored and analyzed through development monitoring module, the mode through curve analysis is monitored enterprise development compliance possibility, in time carries out the early warning when enterprise development curve is unusual appearing, and supervision statistics end in time marks relevant enterprise to the pertinence carries out compliance investigation to the enterprise of mark, avoids the phenomenon of the enterprise business violation to appear.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention as a whole;
FIG. 2 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 3 is a block diagram of a system according to a second embodiment of the present invention;
fig. 4 is a system block diagram of a third embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
Referring to fig. 1, the system for tracing and managing a set of tables of an enterprise based on a block chain includes an enterprise client and a supervision and statistics end, the enterprise client is in communication connection with the supervision and statistics end through a server, the enterprise client is in communication connection with an upload module, a template adaptation module, a development management module and a storage module, and the supervision and statistics end is in communication connection with a development monitoring module and a block chain network.
Example one
Referring to fig. 2, the uploading module is used for the enterprise user to process and upload the ledger data: acquiring application authorization of a block chain trusted organization identity platform, initializing a platform account, maintaining and confirming enterprise information by a user, performing platform account template matching on an enterprise according to the enterprise information through a template adaptation module to obtain a matching template, accessing the enterprise information into the matching template, reviewing platform account detail indexes by the user and judging whether the detail indexes are normal or not, confirming and executing platform account detail by the user to make a statistic platform account task if the detail indexes are normal, and re-accessing the enterprise information into the matching template if the detail indexes are not normal until the detail indexes are normal; checking and confirming the electronic statistical ledger to make a set of tables based on the block chain; the mode that enterprise information inserts the standing book template includes interface mode and import mode, and interface mode includes: the system times tasks, generates detailed ledger, and times task processes and result private chain evidence storage; the import mode includes: and (4) exporting the EXCEL template by the user, importing the EXCEL template after filling, generating the ledger detail, and storing the import process and the result.
Example two
Referring to fig. 3, the template adaptation module is configured to perform ledger template matching for an enterprise: establishing an industry number comparison table, matching the industry and the numbers one by one, acquiring the number corresponding to the industry to which the enterprise belongs, and acquiring the scale coefficient GM and the development coefficient FZ of the enterprise, wherein the acquisition process of the scale coefficient GM of the enterprise comprises the following steps: acquiring a total area value of an enterprise office area in enterprise information and marking the total area value as MJ, acquiring the number of registered employees in the enterprise information and marking the number as RY, acquiring registered fund in the enterprise information and marking the registered fund as ZC, and acquiring a scale coefficient GM of the enterprise by a formula GM = (alpha 1 MJ + alpha 2 RY + alpha 3 ZC)/(alpha 1+ alpha 2+ alpha 3), wherein the scale coefficient GM is a numerical value reflecting the size of the whole enterprise, and the larger the numerical value of the scale coefficient is, the larger the whole scale of the corresponding enterprise is, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 is more than alpha 2 and more than alpha 3; the process of acquiring the development coefficient FZ of the enterprise comprises the following steps: acquiring a net asset value in enterprise information and marking the net asset value as JZ, acquiring the number of registered managers in the enterprise information and marking the registered managers as GL, acquiring a total value of taxes paid in the current quarter in the enterprise information and marking the total value as SE, and acquiring a development coefficient FZ of the enterprise through a formula FZ = (beta 1 × JZ + beta 2 × GL + beta 3 = (SE)/(beta 1+ beta 2+ beta 3)), wherein the development coefficient is a numerical value reflecting the current development state of the enterprise, and the larger the numerical value of the development coefficient is, the better the current development state of the corresponding enterprise is; wherein beta 1, beta 2 and beta 3 are proportionality coefficients, and beta 3 is more than beta 2 and more than beta 1 and more than 1; obtaining a scale grade, a scale threshold, a development grade and a development threshold, wherein the scale grade corresponds to the scale threshold, the scale coefficient is compared with the scale threshold to obtain a corresponding scale grade, the development grade corresponds to the development threshold, the development coefficient is compared with the development threshold to obtain a corresponding development grade, and a matching formula is generated in the form of A + B + C, wherein A is the serial number of the industry to which the enterprise belongs, B is the scale grade of the enterprise, and C is the development grade of the enterprise; calling the ledger template corresponding to the matching formula from the ledger template library and marking as a matching module; the method comprises the steps of matching account template for an enterprise, screening the most appropriate account template from an account template library through the scale state and the development state of account data of the enterprise, further improving the data import efficiency and the success rate of enterprise clients, and accelerating the data uploading efficiency.
The development management module is used for managing and analyzing the development state of the enterprise: respectively marking the scale coefficient and the development coefficient of the standing book declaration of the enterprise in one year as GM u And FZ u U is the number of declaration times, u =1, 2, …, m is a positive integer, and m is expressed by the formula
Obtaining an evolution coefficient FT, wherein the evolution coefficient is a numerical value reflecting the recent development state of the enterprise, and the larger the numerical value of the evolution coefficient is, the better the recent development state of the corresponding enterprise is; wherein gamma 1 and gamma 2 are both proportionality coefficients, and gamma 1 is more than gamma 2 and more than 1; acquiring an attitude threshold FTmin through a storage module, and comparing the attitude coefficient FT with the attitude threshold FTmin: if the attitude coefficient FT is less than or equal to the attitude threshold FTmin, judging that the development state of the enterprise does not meet the requirement, and sending an unqualified development signal to the enterprise client by the development management module; if the evolution coefficient FT is larger than the evolution threshold FTmin, judging that the development state of the enterprise meets the requirement, and sending a development qualified signal to the enterprise client by the development management module; the development state of the enterprise is managed and analyzed, early warning is timely carried out under the condition that the development state of the enterprise does not meet requirements, and the real development state of the enterprise is visually fed back to the enterprise client, so that enterprise managers can conveniently make development decisions according to the real development state.
EXAMPLE III
Referring to fig. 4, the development monitoring module is used for monitoring and analyzing the development trend of the enterprise: establishing a rectangular coordinate system by taking the standing book reporting time as an X axis and taking the scale coefficient of the enterprise as a Y axis, and marking a scale point G in the rectangular coordinate system i And development point F i I represents the order of the times of standing book declaration, i =1, 2, …, n, n is a positive integer, and the scale point G is n The abscissa of the table is the time of performing the standing book declaration for the nth time of the enterprise, and the ordinate is the scale coefficient of performing the standing book declaration for the nth time of the enterprise; development point F n The abscissa of the system is the time of performing standing book declaration for the nth time of the enterprise, and the ordinate is the development coefficient of performing the standing book declaration for the nth time of the enterprise; will develop point G i-1 And F i Connecting the lines to obtain n-1 line segments, marking the n-1 line segments as regular hair segments, sequencing the regular hair segments according to the ascending order of the abscissa numerical values, obtaining the slope value of the regular hair segments, marking the slope value as the regular hair value GF, and obtaining the warning threshold values JS and GF through the storage moduleAnd (3) comparing the regular emission value GF of the regular emission line section with an alarm threshold JS and an early warning threshold YJ by using an early warning threshold YJ: if GF is less than or equal to JS, marking the corresponding hair planning line segment as a common line segment; if JS is less than GF and less than YJ, marking the corresponding regular line segment as an alarm line segment, and analyzing the frequency of the alarm line segment if the development state of the corresponding enterprise is not consistent with the scale of the enterprise; if the GF is larger than or equal to YJ, marking the corresponding regular sending line segment as an early warning line segment, and if the development state of the corresponding enterprise is seriously inconsistent with the self scale of the enterprise, carrying out violation investigation on the enterprise; when an early warning line segment appears in the regular sending line segment, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and an early warning signal to a supervision and statistics end; when an alarm line segment appears in the regular emission line segment, marking the front L1 regular emission line segments and the rear L1 regular emission line segments corresponding to the alarm line segment as analysis line segments, wherein L1 is a numerical constant, the numerical value of L1 is set by a manager, the number of the alarm line segments in the analysis line segments is obtained and marked as L2, a continuous coefficient LX is obtained through a formula LX = L2/2L 1, a continuous threshold value Lxmax is obtained through a storage module, and the continuous coefficient LX is compared with the continuous threshold value Lxmax: if the continuous coefficient LX is smaller than the continuous threshold value LXMax, no early warning is carried out; if the continuous coefficient LX is larger than or equal to a continuous threshold value LXMax, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and an early warning signal to a supervision and statistics end by the development monitoring module; the development trend to the enterprise is monitored and analyzed, the possibility of the enterprise development compliance is monitored in a curve analysis mode, early warning is timely carried out when the enterprise development curve is abnormal, the supervision and statistics end timely marks related enterprises, the targeted enterprise marked is subjected to compliance investigation, and the phenomenon that the enterprise runs in violation is avoided.
The block chain network comprises a plurality of blocks, each block comprises a block head and a block body, the block head is used for packaging a hash value of a front block head, the current block and the front block are connected to form a chain structure, and the front sequence and the rear sequence of the blocks in each block chain are confirmed through the sequence of adding timestamps; the method has the advantages that the uncollability of the ledger data is achieved by means of Hash function encryption, transaction data on a block chain meet traceability characteristics on the basis of the uncollability, the traceability function is achieved mainly through mode combination of timestamp service and chain connection between blocks, based on the characteristics, a solid trust foundation is established by the block chain technology, a reliable cooperation mechanism is created, and the method has a wide application prospect.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula GM = (α 1 × MJ + α 2 × RY + α 3 × ZC)/(α 1+ α 2+ α 3); collecting multiple groups of sample data by technicians in the field and setting a corresponding scale coefficient for each group of sample data; substituting the set scale coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.79, 3.24 and 2.67 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding scale coefficient is preliminarily set for each group of sample data by a person skilled in the art; the proportional relation between the parameters and the quantized numerical values is not affected, for example, the scale coefficient is in direct proportion to the numerical value of the number of registered employees.
When the template matching system is used, an enterprise user processes and uploads the standing book data through the uploading module, the scale coefficient and the development coefficient are obtained through the standing book data, the template matching module analyzes the scale coefficient and the development coefficient to obtain the scale grade and the development grade, and the matched template screening is carried out on the enterprise through the scale grade and the development grade of the enterprise; the development management module is used for managing and analyzing the development state of the enterprise, and early warning is timely carried out when the development state of the enterprise does not meet the requirement, so that enterprise managers can conveniently make development decisions according to the real development state; the development trend of the enterprise is monitored and analyzed through the development monitoring module, the enterprise is marked through monitoring and analyzing results, the marked enterprise is subjected to compliance investigation in a targeted mode, and the phenomenon that the enterprise breaks rules and rules is avoided.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The enterprise set of table tracing management system based on the block chain comprises an enterprise client and a supervision statistical end, wherein the enterprise client is in communication connection with the supervision statistical end through a server;
the uploading module is used for processing and uploading the standing book data by the enterprise user;
the template adaptation module is used for carrying out ledger data analysis on an enterprise and obtaining a scale coefficient GM and a development coefficient FZ, obtaining a corresponding scale grade by comparing the scale coefficient GM with a scale threshold value, obtaining a corresponding development grade by comparing the development coefficient FZ with a development threshold value, obtaining a number corresponding to the industry to which the enterprise belongs, and generating a matching formula in the form of A + B + C, wherein A is the number of the industry to which the enterprise belongs, B is the scale grade of the enterprise, and C is the development grade of the enterprise; calling the ledger template corresponding to the matching formula from the ledger template library and marking as a matching module;
the development management module is used for managing and analyzing the development state of the enterprise and obtaining an evolution coefficient FT, and judging whether the development state of the enterprise meets the requirement or not according to the numerical value of the evolution coefficient FT;
the development monitoring module is used for monitoring and analyzing the development trend of the enterprise.
2. The system for managing a set of tables of an enterprise based on a blockchain according to claim 1, wherein the specific process of processing and uploading the ledger data by the uploading module comprises: the application authorization of the block chain trusted organization identity platform is obtained, the platform account is initialized, the user maintains and confirms enterprise information, the platform account template matching is carried out on the enterprise according to the enterprise information through the template adapting module, a matching template is obtained, the enterprise information is accessed into the matching template, and the user reviews the platform account detail indexes and judges whether the detail indexes are normal or not:
if the platform account is normal, the user confirms and executes the platform account details to make a statistic platform account task;
if not, the enterprise information is accessed into the matching template again until the detail index is normal;
checking and confirming the electronic statistical ledger to make a set of tables based on the block chain; the mode that enterprise information inserts the standing book template includes interface mode and import mode, and interface mode includes: the system times tasks, generates ledger details, and times task processes and result private chain evidence storage; the import mode includes: and (4) exporting the EXCEL template by the user, importing the EXCEL template after filling, generating the ledger detail, and storing the import process and the result.
3. The system for tracing and managing a set of tables of an enterprise based on a blockchain according to claim 1, wherein the process for obtaining the scale factor GM of the enterprise comprises: the method comprises the steps of obtaining a total area value of an enterprise office area in enterprise information, marking the total area value as MJ, obtaining the number of registered staff in the enterprise information, marking the number of the registered staff as RY, obtaining registered fund in the enterprise information, marking the registered fund as ZC, and obtaining a scale coefficient GM of the enterprise by carrying out numerical calculation on the MJ, the RY and the ZC.
4. The system for managing retrospective tables of an enterprise based on block chains as claimed in claim 3, wherein the process of obtaining the development factor FZ of the enterprise comprises: and acquiring a net asset value in the enterprise information and marking as JZ, acquiring the number of registered management personnel in the enterprise information and marking as GL, acquiring a total value of the taxes paid in the current quarter in the enterprise information and marking as SE, and carrying out numerical calculation on JZ, GL and SE to obtain a development coefficient FZ of the enterprise.
5. The system for managing a set of tables of an enterprise based on a blockchain according to claim 1, wherein the specific process of determining whether the development status of the enterprise meets the requirement includes: acquiring an attitude threshold FTmin through a storage module, and comparing the attitude coefficient FT with the attitude threshold FTmin: if the attitude coefficient FT is less than or equal to the attitude threshold FTmin, judging that the development state of the enterprise does not meet the requirement, and sending an unqualified development signal to the enterprise client by the development management module; and if the evolution coefficient FT is greater than the evolution threshold FTmin, judging that the development state of the enterprise meets the requirement, and sending a development qualified signal to the enterprise client by the development management module.
6. The system for block chain based enterprise set table tracking management according to claim 4, wherein the specific process of monitoring and analyzing the development trend of the enterprise by the development monitoring module comprises: establishing a rectangular coordinate system by taking the standing book reporting time as an X axis and taking the scale coefficient of the enterprise as a Y axis, and marking a scale point G in the rectangular coordinate system i And development point F i I represents the order of the times of standing book declaration, i =1, 2, …, n, n is a positive integer, and the scale point G n The abscissa of the table is the time of performing the standing book declaration for the nth time of the enterprise, and the ordinate is the scale coefficient of performing the standing book declaration for the nth time of the enterprise; development point F n The abscissa of the system is the time of performing the standing book declaration for the nth time of the enterprise, and the ordinate is the development coefficient of performing the standing book declaration for the nth time of the enterprise; will develop point G i-1 And F i Connecting the wires to obtain n-1 line segments, marking the n-1 line segments as regular sending line segments, sequencing the regular sending line segments according to the sequence of horizontal coordinate numerical values from small to large, obtaining the slope value of the regular sending line segments and marking the regular sending line segments as regular sending values GF, obtaining a warning threshold value JS and an early warning threshold value YJ through a storage module, and comparing the regular sending values GF of the regular sending line segments with the warning threshold value JS and the early warning threshold value YJ: if GF is less than or equal to JS, marking the corresponding hair planning line segment as a common line segment; if JS < GF < YJ, it will correspond toThe regular sending line segment is marked as a warning line segment; if GF is more than or equal to YJ, marking the corresponding regular sending line segment as an early warning line segment; and judging whether the enterprise is marked as an early warning enterprise or not through the occurrence times of the early warning line segment and the warning line segment.
7. The blockchain-based enterprise set of form traceability management system of claim 6, wherein the determination of whether to mark an enterprise as an early warning enterprise comprises: when an early warning line segment appears in the regular sending line segment, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and an early warning signal to a supervision and statistics end; when an alarm line segment appears in the regular emission line segment, marking the front L1 regular emission line segments and the rear L1 regular emission line segments corresponding to the alarm line segment as analysis line segments, acquiring the number of the alarm line segments in the analysis line segments and marking the alarm line segments as L2, acquiring a continuous coefficient LX through a formula LX = L2/2L 1, acquiring a continuous threshold value LXMax through a storage module, and comparing the continuous coefficient LX with the continuous threshold value LXMax: if the continuous coefficient LX is smaller than the continuous threshold value LXMax, no early warning is carried out; and if the continuous coefficient LX is greater than or equal to the continuous threshold value LXMax, marking the corresponding enterprise as an early warning enterprise, and sending the early warning enterprise and the early warning signal to a supervision and statistics end by the development monitoring module.
8. The system according to claim 1, wherein the blockchain-based enterprise set of tables tracking management system comprises a blockchain network including a plurality of blocks, each block including a block header and a block body, the block header being used for encapsulating the hash value of the previous block header, and connecting the current block and the previous block to form a chain structure, and the sequence of the blocks in each blockchain being confirmed by the sequence of time stamping.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211009750.6A CN115082046B (en) | 2022-08-23 | 2022-08-23 | Block chain-based enterprise table tracing management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211009750.6A CN115082046B (en) | 2022-08-23 | 2022-08-23 | Block chain-based enterprise table tracing management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115082046A true CN115082046A (en) | 2022-09-20 |
| CN115082046B CN115082046B (en) | 2022-11-08 |
Family
ID=83245267
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211009750.6A Active CN115082046B (en) | 2022-08-23 | 2022-08-23 | Block chain-based enterprise table tracing management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115082046B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108446970A (en) * | 2018-03-30 | 2018-08-24 | 广州市华泓鞋业有限公司 | A kind of company information big data analysis system |
| CN110533539A (en) * | 2019-09-05 | 2019-12-03 | 成都凡特客科技有限公司 | Based on block chain and the innovative enterprises of AI technology increment power investment deal platform |
| CN110647581A (en) * | 2019-09-11 | 2020-01-03 | 杭州趣链科技有限公司 | Electronic contract configuration management system and method based on block chain |
| CN111475513A (en) * | 2020-06-28 | 2020-07-31 | 平安国际智慧城市科技股份有限公司 | Form generation method and device, electronic equipment and medium |
| US20200311688A1 (en) * | 2019-03-30 | 2020-10-01 | Docuvisory LLC | Document creation system and method |
| CN112950341A (en) * | 2019-12-09 | 2021-06-11 | 佛山办好啦网络科技有限公司 | Accounting system based on block chain |
| US20210203713A1 (en) * | 2019-12-31 | 2021-07-01 | Advantage Integrated Solutions, Inc | Form Engine |
| CN113269638A (en) * | 2021-04-28 | 2021-08-17 | 阜阳市星启链数据科技有限公司 | Financial risk analysis system based on block chain |
| CN113672978A (en) * | 2021-08-16 | 2021-11-19 | 江苏荣泽信息科技股份有限公司 | Enterprise electronic standing book financial data acquisition method based on block chain technology |
| CN113688173A (en) * | 2020-05-19 | 2021-11-23 | 腾讯科技（深圳）有限公司 | Report information processing method and device, electronic equipment and storage medium |
| CN114861185A (en) * | 2022-07-05 | 2022-08-05 | 江苏荣泽信息科技股份有限公司 | Consensus mechanism processing method and device for enterprise-level ledger |
-
2022
- 2022-08-23 CN CN202211009750.6A patent/CN115082046B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108446970A (en) * | 2018-03-30 | 2018-08-24 | 广州市华泓鞋业有限公司 | A kind of company information big data analysis system |
| US20200311688A1 (en) * | 2019-03-30 | 2020-10-01 | Docuvisory LLC | Document creation system and method |
| CN110533539A (en) * | 2019-09-05 | 2019-12-03 | 成都凡特客科技有限公司 | Based on block chain and the innovative enterprises of AI technology increment power investment deal platform |
| CN110647581A (en) * | 2019-09-11 | 2020-01-03 | 杭州趣链科技有限公司 | Electronic contract configuration management system and method based on block chain |
| CN112950341A (en) * | 2019-12-09 | 2021-06-11 | 佛山办好啦网络科技有限公司 | Accounting system based on block chain |
| US20210203713A1 (en) * | 2019-12-31 | 2021-07-01 | Advantage Integrated Solutions, Inc | Form Engine |
| CN113688173A (en) * | 2020-05-19 | 2021-11-23 | 腾讯科技（深圳）有限公司 | Report information processing method and device, electronic equipment and storage medium |
| CN111475513A (en) * | 2020-06-28 | 2020-07-31 | 平安国际智慧城市科技股份有限公司 | Form generation method and device, electronic equipment and medium |
| CN113269638A (en) * | 2021-04-28 | 2021-08-17 | 阜阳市星启链数据科技有限公司 | Financial risk analysis system based on block chain |
| CN113672978A (en) * | 2021-08-16 | 2021-11-19 | 江苏荣泽信息科技股份有限公司 | Enterprise electronic standing book financial data acquisition method based on block chain technology |
| CN114861185A (en) * | 2022-07-05 | 2022-08-05 | 江苏荣泽信息科技股份有限公司 | Consensus mechanism processing method and device for enterprise-level ledger |
Non-Patent Citations (5)
| Title |
|---|
| NIRANJAN MARATHE ET AL.: "Using Blockchain for Enhancing Collaboration among Independent Enterprises: A Knowledge-based Approach", 《2021 IEEE INTERNATIONAL CONFERENCE ON SMART DATA SERVICES (SMDS)》 * |
| 刘智聪: "大数据技术在统计信息化中的应用研究", 《电脑知识与技术》 * |
| 叶青: "区块链与统计", 《四川省情》 * |
| 张艺敏等: "区块链技术在保密台账管理中的应用", 《保密工作》 * |
| 项吉羽: "基于大数据的统计机制创新研究——以萧山区为例", 《中国优秀硕士学位论文全文数据库 (社会科学Ⅱ辑)》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115082046B (en) | 2022-11-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8370193B2 (en) | Method, computer-readable media, and apparatus for determining risk scores and generating a risk scorecard | |
| CN109800250B (en) | System architecture for no longer configuring enterprise central server | |
| CN111159548A (en) | Network information science and technology popularization service system | |
| CN115730909A (en) | Enterprise client information management system | |
| CN114021971A (en) | Comprehensive evaluation system, method and storage medium for expressway operation and maintenance management | |
| CN116226096B (en) | Electronic signature data maintenance management system based on data processing | |
| CN116628774A (en) | Data storage integrity supervision system based on cloud computing | |
| CN113868509A (en) | Science and technology policy data information consultation service system based on cloud computing | |
| CN115082046B (en) | Block chain-based enterprise table tracing management system | |
| CN113706092A (en) | Engineering project supervision method and system | |
| CN109858807A (en) | A kind of method and system of enterprise operation monitoring | |
| CN112633639A (en) | Food and drug safety supervision-oriented targeted risk early warning platform and method | |
| CN116629677A (en) | Data statistics system for human resource work analysis | |
| CN111831817A (en) | Questionnaire generation and analysis method and device, computer equipment and readable storage medium | |
| CN115330358B (en) | Education and training management system and education and training method | |
| CN111353685A (en) | Safety supervision system | |
| CN110704454A (en) | Report data acquisition system and method | |
| CN112785276B (en) | Engineering consultation management system and method | |
| CN110471381B (en) | Printing and dyeing industry internet platform, equipment and system | |
| CN112561173A (en) | Optimization method for rapidly improving production capacity of welding line | |
| CN111767283B (en) | Data system monitoring method and system | |
| CN216527245U (en) | Online risk management and control assistant engine system | |
| CN113947366A (en) | Supervision emergency management system based on mobile internet technology | |
| CN110991835A (en) | Laboratory management method and device | |
| CN112085405A (en) | Digital online examination platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |