KR20200116179A - Computer readable recording medium storing a program for integrated managment of multi-company using block chain, artificial intelligence, and big data - Google Patents

Abstract

The present invention relates to a computer readable recording medium on which a multi-company integrated business management program using blockchain, artificial intelligence (AI) and big data is recorded. The objective of the present invention is to provide a blockchain system for solving problems such as incorrect remittances that may occur due to mistakes or errors during payment, an AI system for predicting even the potential future so that a corporate manager can make a business decision in real time, and a big data system for multi-company integrated RoR business management including the past, present and even potential future to solve the confusion in business decision making that occurs when the manager operates multiple companies.

Description

COMPUTER READABLE RECORDING MEDIUM STORING A PROGRAM FOR INTEGRATED MANAGMENT OF MULTI-COMPANY USING BLOCK CHAIN, ARTIFICIAL INTELLIGENCE, AND BIG DATA }

The present invention relates to a computer-readable recording medium in which a multi-company integrated management program using block chain, artificial intelligence, and big data is recorded, and the block chain technology prevents errors such as expenditure or fund execution and It promotes rapidity, and artificial intelligence (AI) technology predicts potential future capital flows in advance so as not to fall into a capital liquidity crisis, and big data technology facilitates management decisions for managers who operate two or more multi-enterprises. It relates to a computer-readable recording medium in which a multi-company integrated management program using artificial intelligence, block chain, and big data that allows the user to do so is recorded.

In general, most small and medium-sized corporations or individual business owners prepare financial accounting by requesting accounting processing from an accounting agent.

For the processing of financial accounting, the workplace delivers monthly or quarterly tax invoices and receipts to the accounting agent, and receives information on various tax-related reports and payments from the accounting agent.

However, with accounting information that reflects only the past and present time points provided by the accounting agent, there are many parts that are insufficient for corporate managers to make management decisions in real time, and in particular, the financial liquidity crisis that cannot be recovered due to wrong management decisions. In some cases, the surplus bankruptcy due to the result of

In addition, it is even more difficult for business managers to make management decisions when operating multiple companies.

In addition, in the case of misremittances due to errors or mistakes while internal members of the company remittance for payment, irreparable damage may occur to the company due to failure to pay the money owed in time.

Domestic registered patent No. 10-1614908 Korean Patent Publication No. 10-2014-0081085 Korean Patent Publication No. 10-2017-0014338

Accordingly, the present invention is to improve the conventional problems as described above, and provides an in-house blockchain system to solve problems such as misremittances that may occur due to errors or errors during payment, and business managers make real-time management decisions. It provides an artificial intelligence (AI) system that predicts the past, present, and potential future in order to make a decision, and a big data system is provided to solve the confusion of management decision-making that occurs in the case of managers who operate multiple companies. Its purpose is to provide a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data is recorded.

The present invention includes a management accounting unit including bankbook management, deposit management, withdrawal management, and card management items; A tax accounting department including purchases, sales, additional rate/expense management, and asset management; A labor accounting department including items of a fixed payroll ledger, a non-fixed payroll ledger, a daily employee ledger, and a business income ledger; A transaction management unit including customer registration, customer management, transaction document creation and aggregation, and expenditure resolution items; A multi-company management unit including national language, business registration, data selection, and multi-company aggregation status items; A product management unit including product registration, input/output management, product-specific aggregation, and product charge rate management items; A product management unit including product registration, input resource management, product-specific aggregation, and product charge rate management items; A contract management unit including schedule management, contract management, progress management, and deadline charge rate management items; A time management unit including timetable accounting, timetable administration, timetable contract, and timetable purchase items; It is characterized by a form management unit including form registration, form classification, form upload, and form interactive management items.

Preferably, the module for constituting each part of the multi-company integrated management program is a deposit and withdrawal made so that the first management accounting journals are downloaded, sorted and separated into deposits and withdrawals, and then the secondary management accounting journals are made. A management module 100; A card management module 200 configured to register and download various cards and then make journal entries; After downloading the purchase and sales invoice, separate the purchase tax invoice and the sales tax invoice, and purchase/sales management module 300; An offset module 400 configured to organize offset processing and non-offset parts; A labor accounting module 500 such as a fixed payroll book that organizes and aggregates various salaries, etc.; It consists of a quotation, order, slip, and transaction statement according to the sales and purchase customers, and the block chain is executed in the expenditure resolution, and eight elements for each grade (bankbook number and name (name), order form, slip, transaction statement, tax invoice, deposit and release) , A transaction management/expenditure agreement module 600 formed by displaying the number of documents selected from among the selected documents in the form of a cubic box; An added rate/expense management module 700 capable of estimating pre-tax profit and loss through prediction of tax invoices and expenses generated so far and future tax invoices and expenses; Current assets and variable asset flows through forecasts; That is, an asset management module 800 including tax invoices and accounts receivable and unpaid amount of deposits and withdrawals; A product management module 900 and a product management module 1000 for predicting an appropriate stock of goods and input raw materials and obtaining an All Integrated Products rate of return; A contract management module 1100 for predicting an unpaid amount of accounts receivable corresponding to an individual contract to obtain an estimated charge rate; A multi-company management module 1200 that can integrate and aggregate desired management accounting information by selecting one or more companies and necessary items; A time management module 1300 provided to enable schedule management according to a user's needs; It is characterized by; consisting of a form management module 1400 provided to enable interactive download and upload.

More preferably, in the transaction management/expenditure resolution module 600, an in-house blockchain is selectively set, and a blockchain technology using a private algorithm that promotes fast settlement without causing an error in expenditure is applied. It features.

In addition, a gradient descent algorithm applied to the added rate/expense management module 700, asset management module 800, product management module 900, product management module 1000, and contract management module 1100 It is desirable to apply artificial intelligence technology using.

In addition, the multi-company management module 1200 selects data necessary for management decision making, and when more than one business operator is selected, the data of each selected company are integrated to include the past, present and potential future. It is desirable to apply big data technology using Partitioning Algorithm).

According to the present invention according to the above embodiment, the following effects can be expected.

First, with blockchain technology, funds can be executed without misremittances due to errors or mistakes.

Second, by predicting the potential future with artificial intelligence technology, immediate management decisions can be made.

Third, big data technology can eliminate confusion in multi-company management decision making and make the best decision.

1 is a diagram showing a program main output screen of a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded;
2A is an output screen of an expenditure resolution in a transaction management unit through a block chain applied to a computer-readable recording medium in which a multi-company integrated management program using a block chain, artificial intelligence, and big data according to the present invention is recorded, and management accounting Drawing showing the output screen of withdrawal management among copies,
Figure 2b is an output of the state before and after asset management of the added rate among the tax accounting department through artificial intelligence applied to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded A drawing representing the screen,
Figure 2c is an output of the state before and after asset management of the added rate in the tax accounting department through artificial intelligence applied to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded A drawing representing the screen,
2D is an output screen before and after management of asset fluctuations through artificial intelligence applied to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded. Drawing,
2E is a diagram showing an output screen before and after management of an input/output management unit through artificial intelligence applied to a computer-readable recording medium in which a multi-company integrated management program using block chain, artificial intelligence, and big data according to the present invention is recorded ,
2F is an output screen of multi-company cash flow and added rate management through big data applied to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded. Drawing,
2G is an output screen of multi-company expense management and asset management through big data applied to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded. Drawing,
3 is a system configuration diagram of a multi-company management module applied to a computer-readable recording medium in which a multi-company integrated management program using a block chain, artificial intelligence, and big data according to the present invention is recorded;
4 is a block diagram showing a module configuration of a computer-readable recording medium in which a multi-company integrated management program using a block chain, artificial intelligence, and big data according to the present invention is recorded;
5 is an overall flowchart of a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded.

Hereinafter, the present invention configured as described above will be described in detail with reference to the accompanying drawings.

1 is a diagram showing a program main output screen of a computer-readable recording medium in which a multi-company integrated management program using a block chain, artificial intelligence, and big data according to the present invention is recorded. The computer-readable recording medium on which the multi-company integrated management program using intelligence and big data is recorded is the management accounting department (1), the tax accounting department (2), the labor accounting department (3), and the transaction management department ( 4), a multi-company management unit (5), a product management unit (6) and a product management unit (7), a contract management unit (8), a time management unit (9), a form management unit (10), etc. .

(A) and (B) of FIG. 2A show output screens in which the expenditure resolution screen and the withdrawal management screen using a block chain are implemented in a cubic box.

Figures 2b to 2e are detailed output screens for each item of artificial intelligence, and (a) and (b) of FIG. 2b show states before and after execution of artificial intelligence for management of the added rate, and (a) and (b) of FIG. 2c Represents the state before and after the execution of artificial intelligence for cost management, and (a) and (b) of FIG. 2d represent the state before and after the execution of artificial intelligence for the management of input resources and product imposition rate, and (a) and (b) of FIG. ) Indicates the state before and after the execution of artificial intelligence for storage and delivery management.

2F and 2G are detailed output screens for each item of big data, showing a program screen that implements addition rates, expenses, cash flows, and asset flows among the multi-company management units.

To this end, a program equipped with various modules can be used as an intermediary to more efficiently integrate and manage accounting management and various transaction information generated between individual documents.

On the other hand, in the multi-company integrated management method and system using block chain, artificial intelligence, and big data according to the present invention, as described above, a management accounting unit 1 and a tax accounting unit 2 constituting the main menu of the program. ), labor accounting (3), transaction management (4), multi-company management (5), product management (6), product management (7), contract management (8), time management (9), In order to implement the form management unit 10, the deposit and withdrawal management module 100, the card management module 200, the purchase/sales management module 300, the offset module 400, the labor management module 500, and , Transaction management/expenditure resolution module 600, added rate/expense management module 700, asset management module 800, product management module 900, product management module 1000, and contract progress management module It is configured to include a (1100), a multi-company management module 1200, etc., in addition to the time management module 1300, form management module 1400, and the like are further included.

The deposit and withdrawal management module 100 downloads and organizes various bankbook details, makes a first journal entry into deposit details and withdrawal details, and then makes a second management accounting journal entry.

The card management module 200 is configured to download and organize various card details to make a management accounting journal entry.

The purchase/sales management module 300 is configured to download a purchase and sales invoice and then divide it into a purchase tax invoice and a sales tax invoice.

The offsetting module 400 offsets the data of the deposit/withdrawal management module 100 and the purchase/sales management module 300, and the unoffset portion is arranged in accounts receivable and unpaid.

The labor accounting module 500 is provided to organize and aggregate various salaries, and the transaction management/expenditure resolution module 600 is made to manage expenditure resolutions such as estimates, orders, slips, transaction statements, etc., and the management accounting addition rate / Expense management module 700 is the card management module 200, the deposit and withdrawal management module 100, the offset module 400, the purchase / sales management module 300 and the labor accounting module 500 to aggregate expenses and It is made so that the addition rate and the estimated pre-tax rate can be predicted through the difference between the purchase and sales statement.

The asset management module 800 is generated through aggregation of the management accounting addition rate/expense management module 700, product management module 900, product management module 1000, and contract management module 1100.

Through the product management module 900 and the product management module 1000, it is possible to predict an appropriate inventory and predict the addition rate.

The contract management module 1100 is configured to predict a contract that is expected to occur, and an account receivable, an outstanding payment, and an additional rate for the generated contract.

The multi-company management module 1200 is configured to integrate and aggregate data including the past, present, and potential future of one or more operators.

The time management module 1300 is provided to allow arbitrary designation according to the needs of the user, and the form management module 1400 is provided to enable interactive download and upload.

In the present invention, a private algorithm blockchain technology is applied to the transaction management/expenditure resolution module 600 in the process of displaying a cubic box when prescribed documents are prepared.

In addition, the additional rate/expense management module 700, the asset management module 800, the product management module 900, the product management module 1000, and the contract management module 1100 have potential future accounts receivable and imposition rates. In prediction, artificial intelligence based on the gradient descent algorithm is applied.

In addition, the multi-company management module 1200 selects one or more operators, and when the desired aggregate data is selected, big data technology including the past, present, and potential future is applied.

Next, a process of operating a computer-readable recording medium in which a multi-company integrated management program using a block chain, artificial intelligence, and big data according to the present invention made as described above is operated will be described with reference to FIG. Same as

5 is an overall flowchart of a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data according to the present invention is recorded.

In the starting state of the program according to a computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data in the present invention is recorded, the main menu is displayed as shown in FIG. Becomes (S 1 and S 2).

First, the management accounting unit (1) aggregates all the bankbooks used by the business through download, etc., then divides into deposit management and withdrawal management, aggregates them, and performs accounting processing through management accounting (S3).

In the tax accounting unit 2, it is possible to predict in advance the purchase book and sales book addition rate/expense management and asset management of the tax invoice through machine learning using a gradient descent algorithm (S 4). .

In the labor accounting department, the labor accounting department (3) performs monthly counts for each salary ledger, daily employee ledger, and business income ledger (S 5).

When the transaction management unit (4) is selected, it consists of an estimate, order form, slip, and transaction statement according to sales and purchase customers, and a block chain using a private algorithm is executed in the expenditure resolution, and eight elements (bankbooks) are executed. Number and business name (name), order form, slip, transaction statement, tax invoice, input and output, input resources, and settlement) are displayed in the form of a cubic box and the number of documents selected (S6).

In the multi-company management (5), after country/language selection and one or more business registrations are made, the desired data is selected, and when more than one business is selected, a table partitioning algorithm that includes the potential future. Multi-company management using big data can be achieved (S7).

In the process of the product management unit 6, product registration, product entry and exit, and management, and product charging rate management are performed through product-specific aggregation. The appropriate inventory required for the sale of each product and the potential future charging rate for product sale are inclined. It is possible to predict in advance through machine learning using a gradient descent algorithm (S8).

In the process of the product management unit (7), the product to be produced is registered, the input resources are managed, the product-by-product aggregation and the product charge rate are managed.The appropriate input resource management required for the production of each product and the potential future due to product production and sales are It can be predicted in advance through machine learning using a gradient descent algorithm (S9).

In the process of the contract management unit (8), contract schedule management, contract management, progress management, and closing management are performed.In the progress management stage, accounts receivable and outstanding payments that will occur in the future for each corresponding contract are determined using a gradient descent algorithm. It is possible to predict in advance through machine learning (S 10).

The process of the time management unit 9 consists of accounting, administration, contract, and purchase as a time schedule required for operating the company, so that all members can share it (S11).

The process of the form management unit 10 registers and classifies various forms necessary for the company, and enables the parties to become interactive management that can recognize each other when uploading and unloading forms in the system (S 12).

Algorithms for blockchain, artificial intelligence, and big data technology for realizing the above method for implementing the above-described series of flows are as follows.

*. Blockchain consensus algorithm using private algorithm

An embodiment of the configuration of a private algorithm used in the blockchain is as follows.

...

import requests

class Blockchain(object):

...

def valid_chain(self, chain):

"""

last_block = chain[0] //

current_index = 1

while current_index <len(chain):

block = chain[current_index]

print(f'last_block')

print(f'block')

print("")

if block['previous_hash'] != self.hash(last_block):

return False

if not self.valid_proof(last_block['proof'], block['proof']):

return False

last_block = block

current_index += 1

return True

def resolve_conflicts(self):

"""

neighbors = self.nodes

new_chain = None

max_length = len(self.chain)

for node in neighbors:

response = requests.get(f'http://node/chain')

if response.status_code == 200:

length = response.json()['length']

chain = response.json()['chain']

if length> max_length and self.valid_chain(chain):

max_length = length

new_chain = chain

if new_chain:

self.chain = new_chain

return True

return False

*. Artificial intelligence technology using gradient descent algorithm

The gradient descent method used in artificial intelligence (AI) An example of the algorithm configuration is as follows.

def minimize_batch(target_fn, gradient_fn, theta_0, tolerance=0.000001):

"""use gradient descent to find theta that minimizes target function"""

step_sizes = [100, 10, 1, 0.1, 0.01, 0.001, 0.0001, 0.00001]

theta = theta_0 # set theta to initial value

target_fn = safe(target_fn) # safe version of target_fn

value = target_fn(theta) # value we're minimizing

while True:

gradient = gradient_fn(theta)

next_thetas = (step(theta, gradient, -step_size)

for step_size in step_sizes]

# choose the one that minimizes the error function

next_theta = min(next_thetas, key=target_fn)

next_value = target_fn(next_theta)

# stop if we're "converging"

if abs(value-next_value) <tolerance:

return theta

else:

theta, value = next_theta, next_value

def negate(f):

"""return a function that for any input x returns -f(x)"""

return lambda *args, **kwargs: -f(*args, **kwargs)

def negate_all(f):

"""the same when f returns a list of numbers"""

return lambda *args, **kwargs: [-y for y in f(*args, **kwargs)]

def maximize_batch(target_fn, gradient_fn, theta_0, tolerance=0.000001):

return minimize_batch(negate(target_fn),

negate_all(gradient_fn),

theta_0,

tolerance)

*. Big data Technology

Table Partitioning Algorithm used for big data Examples of the configuration are as follows.

Select Sum(a.tot) As tot, Sum(b.outmon) As outmon

From [hcpave1_hcpave].[dbo].[In_EPaper] a LEFT JOIN (

Select fkey, Sum(outmon) As outmon From (

Select a.fkey, b.outmon

From [hcpave1_hcpave].[dbo].[In_EPaperMat] a INNER JOIN [hcpave1_hcpave].[dbo].[Out_01] b

On (a.pkey = b.pkey)

) a Group By fkey

) b On (a.pkey = b.fkey)

Where (a.fkey = 1)

Select Sum(a.tot) As tot, Sum(b.inmon) As inmon

From [hcpave1_hcpave].[dbo].[Out_EPaper] a LEFT JOIN (

Select fkey, Sum(inmon) As inmon From (

Select a.fkey, b.inmon

From [hcpave1_hcpave].[dbo].[Out_EPaperMat] a INNER JOIN [hcpave1_hcpave].[dbo].[In_03] b

On (a.pkey = b.pkey)

) a Group By fkey

) b On (a.pkey = b.fkey)

Where (a.fkey = 1)

On the other hand, although the preferred embodiments of the present invention have been illustrated and described above, the present invention is not limited to the specific embodiments described above, and the technology to which the present invention belongs without departing from the gist of the present invention claimed in the claims. Various modifications and modifications are possible by those of ordinary skill in the field, as well as these modifications and modifications should not be individually understood from the technical spirit or prospect of the present invention.

1: Management Accounting Department, 2: Tax Accounting Department,
3: Labor Accounting Department, 4: Transaction Management Department,
5: Multi-Company Management Department, 6: Product Management Department,
7: Product Management Department, 8: Contract Management Department,
9: Time Management Department, 10: Form Management Department,
100: deposit and withdrawal management module, 200: card management module,
300: purchase/sales management module, 400: offset module,
500: labor accounting module, 600: transaction management/expenditure resolution module,
700: added rate/expense management module, 800: asset management module,
900: product management module, 1000: product management module,
1100: contract management module, 1200: multi-company management module,
1300: time management module, 1400: form management module.

Claims (5)

A management accounting unit including bankbook management, deposit management, withdrawal management, and card management items;
A tax accounting department including purchases, sales, additional rate/expense management, and asset management;
A labor accounting department including items of a fixed payroll ledger, a non-fixed payroll ledger, a daily employee ledger, and a business income ledger;
A transaction management unit including customer registration, customer management, transaction document creation and aggregation, and expenditure resolution items;
A multi-company management unit including national language, business registration, data selection, and multi-company aggregation status items;
A product management unit including product registration, input/output management, product-specific aggregation, and product charge rate management items; A product management unit including product registration, input resource management, product-specific aggregation, and product charge rate management items;
A contract management unit including schedule management, contract management, progress management, and deadline rate management items;
A time management unit including timetable accounting, timetable administration, timetable contract, and timetable purchase items;
Consisting of a form management unit including form registration, form classification, form upload, form interactive management items; a computer-readable record in which a multi-company integrated management program using block chain, artificial intelligence, and big data is recorded. media.
The method of claim 1,
Modules for configuring each part of the multi-company integrated management program,
A deposit and withdrawal management module 100 configured to download and organize various bankbooks and perform a primary management accounting journal to separate them into deposit and withdrawal, and then perform a secondary management accounting journal;
A card management module 200 configured to register and download various cards and then make journal entries;
After downloading the purchase and sales invoice, separate the purchase tax invoice and the sales tax invoice, and purchase/sales management module 300;
An offset module 400 configured to organize offset processing and non-offset parts;
A labor accounting module 500 such as a fixed payroll book that organizes and aggregates various salaries, etc.;
It consists of a quotation, order, slip, and transaction statement according to the sales and purchase customers, and the block chain is executed in the expenditure resolution, and eight elements for each grade (bankbook number and name (name), order form, slip, transaction statement, tax invoice, deposit and release) , A transaction management/expenditure agreement module 600 formed by displaying the number of documents selected from among the selected documents in the form of a cubic box;
An added rate/expense management module 700 capable of estimating pre-tax profit and loss through prediction of tax invoices and expenses generated so far and future tax invoices and expenses;
Current assets and variable asset flows through forecasts; That is, an asset management module 800 including tax invoices and accounts receivable and unpaid amount of deposits and withdrawals;
A product management module 900 and a product management module 1000 for predicting an appropriate stock of goods and input raw materials and obtaining an All Integrated Products rate of return;
A contract management module 1100 for predicting an unpaid amount of accounts receivable corresponding to an individual contract to obtain an estimated charge rate;
A multi-company management module 1200 that can integrate and aggregate desired management accounting information by selecting one or more companies and necessary items;
A time management module 1300 provided to enable schedule management according to a user's needs;
Consisting of including a form management module (1400) provided to enable interactive download and upload; a computer-readable record in which a multi-company integrated management program using block chain, artificial intelligence, and big data is recorded. media.
The method of claim 2,
It is characterized in that a blockchain technology using a private algorithm that promotes quick settlement without causing an error in expenditure by selectively setting an in-house blockchain in the transaction management/expenditure resolution module 600 is applied. A computer-readable recording medium that records a multi-company integrated management program using blockchain, artificial intelligence, and big data. The method of claim 2,
Using a gradient descent algorithm applied to the added rate/expense management module 700, asset management module 800, product management module 900, product management module 1000, and contract management module 1100 A computer-readable recording medium on which a multi-company integrated management program using blockchain, artificial intelligence, and big data, characterized by applying artificial intelligence technology, is recorded.
The method of claim 2,
Table partitioning algorithm (Table Partitioning Algorithm) includes the past, present, and potential future by integrating the data of each selected company by selecting data necessary for management decision-making in the multi-company management module 1200 and selecting one or more operators. A computer-readable recording medium in which a multi-company integrated management program using blockchain, artificial intelligence, and big data, characterized by applying big data technology using ), is recorded.

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