KR102351310B1 - 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 management program using block chains, artificial intelligence, and big data is recorded, and the purpose is to solve problems such as mistransmissions that may occur due to errors or errors during payment. It provides a block chain system to solve the problem, and provides an artificial intelligence (AI) system that predicts the potential future in order for corporate managers to make business decisions in real time, and management that occurs in the case of managers running multiple companies In order to clear up confusion in decision-making, it is to provide a big data system for multi-company integrated charge rate management that includes the past, present, and potential future.

Description

A computer-readable recording medium on which a multi-company integrated business management program is recorded

The present invention relates to a computer-readable recording medium recording a multi-company integrated management program using block chain, artificial intelligence, and big data. In addition, artificial intelligence (AI) technology predicts potential future cash flows in advance to prevent them from falling into a liquidity crisis, and big data technology makes it easier for managers who run two or more multi-enterprise businesses to make business decisions. It relates to a computer-readable recording medium that records a multi-company integrated business management program using artificial intelligence, block chain, and big data that makes it possible.

In general, most small and medium-sized corporations or sole proprietors prepare financial accounting by entrusting accounting to an accounting agent.

For financial accounting, business sites deliver monthly or quarterly tax invoices and receipts to the accounting agent and receive information on various tax-related reports and payments from the accounting agent.

However, the accounting information provided by the accounting agent that reflects only the past and the present at a certain point in time is insufficient for corporate managers to make real-time management decisions. In some cases, this may lead to surplus bankruptcy.

In addition, it is even more difficult for corporate managers to make management decisions when they operate multiple companies.

In addition, if internal members of a company are making a remittance for payment, and in the case of an error or mistake, irreversible damage to the company may occur due to the failure to pay the amount due on time.

Domestic Registered Patent No. 10-1614908 Domestic Patent Publication No. 10-2014-0081085 Domestic Patent Publication No. 10-2017-0014338

Accordingly, the present invention is to improve the conventional problems as described above, and provides an in-house block chain system for solving problems such as mistransmissions that may occur due to errors or errors during payment, and enables business managers to make real-time management decisions It provides an artificial intelligence (AI) system that predicts the past, present, and potential future in order to make The purpose is to provide a computer-readable recording medium in which a multi-company integrated business management program using block chain, artificial intelligence, and big data is recorded.

According to the present invention, the bankbook management, deposit management, and withdrawal management by the deposit/withdrawal management module 100 configured to download and organize various passbooks, perform the primary management accounting journalization that separates deposits and withdrawals, and then perform the secondary management accounting journalization. a management accounting unit including passbook management, deposit management, withdrawal management, and card management menu so that card management is performed by the card management module 200 configured to register and download various cards and then journal; Fixed salary ledger, non-fixed payroll ledger, daily employee ledger, business income ledger menu to manage fixed salary ledger, non-fixed payroll ledger, daily employment ledger, and business income ledger by the labor accounting module 500 that organizes and aggregates various salaries a labor accounting department comprising; Customers are registered and managed by the transaction management/spending resolution module 600, and transaction documents, that is, quotations, order forms, slips, and transaction statements according to sales and purchase customers are prepared and counted, and expenditure resolutions are prepared and managed, Customer registration and customer registration so that the number of selected documents among the 8 elements by grade (bankbook number and trade name (name), order form, slip, transaction statement, tax invoice, warehousing, input resource, and settlement statement) in the expenditure resolution are displayed in cubic boxes a transaction management unit including management, transaction document preparation and aggregation, and expenditure resolution menu; The multi-company management module 1200 selects data for company management including national language and business registration, so that one or more companies and menus that require management are selected, and national language, business registration, a multi-company management unit including data selection and multi-company aggregate status menus; Product registration to predict the appropriate inventory of products and input raw materials by the product management module 900, obtain the All Integrated Products rate of return, and manage product registration, warehousing management, aggregation by product, and product charge rate , and a product management unit including warehouse management, product aggregation, product charge rate management menu; a product management unit including product registration, input resource management, product-specific aggregation, and product charge rate management menus to manage product registration, input resource management, product-by-product aggregation, and product charge rate by the product management module 1000; Schedule management, contract management, progress management, closing charge rate management menu so that the contract management module 1100 predicts accounts receivable corresponding to individual contracts to obtain an estimated charge rate, and performs schedule management, contract management, progress management, and closing charge rate management a contract management unit comprising; Timetable management, timetable administration, timetable contract to manage timetable accounting, timetable administration, timetable contract, and timetable purchase menu to enable schedule management according to the user's needs by the time management module 1300 , a time management unit including a time table purchase menu, and; Form registration, form classification, form upload, form registration, form classification, form upload, form interactive management menu to enable interactive form registration, form classification, form upload, form management form management department; After downloading the purchase sales invoice, the purchase/sales management module 300 separates the input tax invoice and the sales tax invoice to create and manage a ledger for each purchase and sales customer, and an offsetting module through sales invoice information and deposit history journal information Offset processing and non-offset processing are performed at 400 , and information of the product management module 900 , the product management module 1000 , the contract management module 1100 , and the card management module 200 in the asset management module 800 . Manage current assets and variable asset flows through forecasting using the asset management module 800, deposit and withdrawal management module 100, offset module 400, labor accounting module ( 500) to calculate and manage the addition rate/expense and estimated profit and loss using the information of the purchase book, sales book, addition rate/expense management, and asset management menu; is composed of;
A technology using a Private Algorithm that is selectively set in the transaction management/spending resolution module 600 to promote fast payment without causing an error in expenditure is applied; Using the Gradient Descent Algorithm applied to the addition 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 technology is applied; In the multi-company management module 1200, when data necessary for management decision making is selected, and when one or more operators are selected, the data of each selected company is integrated and a table partitioning algorithm including the past, present, and potential future (Table Partitioning) Algorithm) applied technology; It is characterized in that it is a computer-readable recording medium in which the multi-company integrated management program is recorded.

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

First, with blockchain technology, funds can be executed without errors or mistransmissions due to 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 decisions and make the best decisions.

1 is a view showing a program main output screen of 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;
Figure 2a is an output screen and management accounting of a transaction management unit through a block chain 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; Drawing showing the output screen of withdrawal management
Figure 2b is the output of the state before and after asset management of the additional rate in the tax accounting department through artificial intelligence applied to a computer-readable recording medium in which the multi-company integrated management program using block chain, artificial intelligence, and big data according to the present invention is recorded; drawing representing the screen,
Figure 2c is the output of the state before and after asset management of the value-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 block chain, artificial intelligence, and big data according to the present invention is recorded drawing representing the screen,
2d is an output screen before and after management of asset change flow through artificial intelligence applied to a computer-readable recording medium in which a multi-company integrated management management program using block chain, artificial intelligence, and big data according to the present invention is recorded. drawing showing,
Figure 2e is a view showing the output screen of the state before and after the management of the warehouse and shipment 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 cash flow and addition rate management of multiple companies through big data 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. drawing showing,
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 block chain, artificial intelligence, and big data according to the present invention is recorded. drawing showing,
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 management program using block chain, artificial intelligence, and big data according to the present invention is recorded;
4 is a block diagram showing the module configuration of 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;
5 is an overall flowchart of 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.

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 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 and 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, 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 screen of the spending resolution and the withdrawal management screen using a block chain are implemented in the form of cubic boxes, respectively.

2b to 2e are detailed output screens for each menu for artificial intelligence, and (a) and (b) of FIG. 2b show the state before and after the execution of artificial intelligence for addition rate management, (a) and (b) of FIG. 2c shows the state before and after AI execution for expense management, (A) and (B) of FIG. 2D show the state before and after AI execution for input resource management and product charge rate management, (A) and (B) in FIG. 2E ) indicates the state before and after the execution of artificial intelligence for warehouse and warehouse management.

2F and 2G are detailed output screens for each menu for big data, and show program screens in which an additional rate, expenses, cash flow, asset flow, etc. are implemented among the multi-company management unit.

To this end, it is possible to more efficiently integrate and manage accounting management and various transaction information generated between individual documents through a program equipped with various modules as a medium.

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

The deposit/withdrawal management module 100 is configured to download and organize various passbook details, make a first journal entry into deposit details and withdrawal details, and then perform secondary management accounting journalization.

The card management module 200 is configured to download and organize various card details so that management and accounting journals can be made.

The purchase/sales management module 300 is configured to classify an input tax invoice and an output tax invoice after downloading the purchase and sales invoice.

The offsetting module 400 offsets the data of the deposit/withdrawal management module 100 and the purchase/sales management module 300 , and arranges the unsettled portion in the accounts receivable and accounts payable.

The labor accounting module 500 is provided to organize and aggregate various salaries, and the transaction management/spending resolution module 600 is configured to manage an estimate, an order form, a slip, a transaction statement, etc., a expenditure resolution, and the management accounting addition rate / Expense management module 700 aggregates expenses through the card management module 200, the deposit and withdrawal management module 100, the offsetting module 400, the purchase/sales management module 300, and the labor accounting module 500, It is made so that the value-added rate and the estimated pre-tax rate of addition can be predicted through the difference between the purchase and sales invoices.

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

The contract management module 1100 is configured to predict accounts receivable, payables, and additional rates with respect to the contract to be generated and the contract to be generated.

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

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

In the present invention, a private algorithm block chain technology is applied to the transaction management/spending resolution module 600 in a process displayed as 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 include potential future receivables due and charge rates. In predicting , artificial intelligence based on the gradient descent algorithm is applied.

In addition, the multi-company management module 1200 selects one or more operators and selects desired aggregated data to apply big data technology including past, present, and potential future.

Next, the process of operating 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 made as described above is operated is 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 block chain, artificial intelligence, and big data according to the present invention is recorded.

In the starting state of the program according to the computer-readable recording medium in which the multi-company integrated management program using block chain, 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, in the management and accounting unit 1, all the passbooks used by the business are collected through download, etc., and then divided into deposit management and withdrawal management, and the accounting is processed through management accounting (S 3).

In the tax accounting unit (2), the purchase book and sales book of the tax invoice can be predicted in advance through machine learning using a gradient descent algorithm (Machine Learning) for additional rate/expense management and asset management (S 4) .

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

When the transaction management unit 4 is selected, it consists of an estimate, an order form, a slip, and a transaction statement according to the sales and purchase partners, and the block chain using a private algorithm is executed in the spending resolution, and 8 elements (passbook) by grade Number and trade name (name), order form, slip, transaction statement, tax invoice, receipt/delivery, input resources, and settlement) are displayed as the number of selected documents in the form of a cubic box (S 6).

In the multi-company management (5), after selecting a country/language and registering one or more businesses, the desired data is selected, and if one or more businesses are selected, a table partitioning algorithm including a potential future (Table Partitioning Algorithm) Multi-company management using big data can be achieved (S 7).

In the process of the product management unit 6, product registration, entry and exit and management of products, and management of the product charge rate through product-specific aggregation are performed. It is possible to predict in advance through machine learning using a descent algorithm (Gradient Descent Algorithm) (S8).

In the process of the product management unit 7, product registration and input resource management are performed, and product-specific aggregation and product charge rate management are performed. It is possible to predict in advance through machine learning using the gradient descent algorithm (S9).

In the contract management unit 8 process, contract schedule management, contract management, progress management, and closing management are performed. It is possible to predict in advance through machine learning (S10).

The process of the time management unit 9 is a time schedule necessary for operating a company, and consists of accounting, administration, contract, and purchase, respectively, and can be shared by all members (S 11).

The form management unit 10 process registers and categorizes various forms necessary for the company, and enables interactive management in which the parties can recognize each other when uploading and lowering forms in the system (S 12).

The algorithm related to the block chain and artificial intelligence and big data technology for realizing the method for implementing the series of flows as described above is as follows.

*. Blockchain Consensus Algorithm Using Private Algorithm

An example of the configuration of the private algorithm used in the block chain 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

Gradient descent 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 in Big Data An example of the configuration is 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 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 technology to which the present invention pertains within the scope not departing from the gist of the present invention as claimed in the claims Various modifications and variations are possible by those of ordinary skill in the art, and these variations 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/spending resolution module,
700: additional 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)

After downloading and organizing various bankbooks and performing the first management accounting journalization that separates deposits and withdrawals, the bankbook management, deposit management, and withdrawal management are performed by the deposit and withdrawal management module 100 configured to make the second management accounting journalization, a management and accounting unit including passbook management, deposit management, withdrawal management, and card management menu so that card management is performed by the card management module 200 configured to register and download various cards and then journal;
Fixed salary ledger, non-fixed payroll ledger, daily employee ledger, business income ledger menu to manage fixed salary ledger, non-fixed payroll ledger, daily employment ledger, and business income ledger by the labor accounting module 500 that organizes and aggregates various salaries a labor accounting department comprising;
Customers are registered and managed by the transaction management/spending resolution module 600, and transaction documents, that is, quotations, order forms, slips, and transaction statements according to sales and purchase customers are prepared and counted, and expenditure resolutions are prepared and managed, Customer registration and customer registration so that the number of selected documents among the 8 elements by grade (bankbook number and trade name (name), order form, slip, transaction statement, tax invoice, warehousing, input resource, and settlement statement) in the expenditure resolution are displayed in cubic boxes a transaction management unit including management, transaction document preparation and aggregation, and expenditure resolution menu;
The multi-company management module 1200 selects data for company management including national language and business registration, so that one or more companies and menus that require management are selected, and national language, business registration, a multi-company management unit including data selection and multi-company aggregate status menus;
Product registration to predict the appropriate inventory of products and input raw materials by the product management module 900, obtain the All Integrated Products rate of return, and manage product registration, warehousing management, aggregation by product, and product charge rate , and a product management unit including warehouse management, product aggregation, product charge rate management menu;
a product management unit including product registration, input resource management, product-specific aggregation, and product charge rate management menus to manage product registration, input resource management, product-by-product aggregation, and product charge rate by the product management module 1000;
Schedule management, contract management, progress management, closing charge rate management menu so that the contract management module 1100 predicts accounts receivable corresponding to individual contracts to obtain an estimated charge rate, and performs schedule management, contract management, progress management, and closing charge rate management a contract management unit comprising;
Timetable management, timetable administration, timetable contract to manage timetable accounting, timetable administration, timetable contract, and timetable purchase menu to enable schedule management according to the user's needs by the time management module 1300 , a time management unit including a time table purchase menu;
Form registration, form classification, form upload, form registration, form classification, form upload, form interactive management menu to enable interactive form registration, form classification, form upload, form management form management department;
After downloading the purchase sales invoice, the purchase/sales management module 300 separates the input tax invoice and the sales tax invoice to create and manage a ledger for each purchase and sales customer, and an offsetting module through sales invoice information and deposit history journal information Offset processing and non-offset processing are performed at 400 , and information of the product management module 900 , the product management module 1000 , the contract management module 1100 , and the card management module 200 in the asset management module 800 . Manage current assets and variable asset flows through forecasting using the asset management module 800, deposit and withdrawal management module 100, offset module 400, labor accounting module ( 500) to calculate and manage the addition rate/expense and estimated profit and loss using the information of the purchase book, sales book, addition rate/expense management, and asset management menu;
is composed of;
A technology using a Private Algorithm that is selectively set in the transaction management/spending resolution module 600 to promote fast payment without causing an error in expenditure is applied;
Using the Gradient Descent Algorithm applied to the addition 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 technology is applied;
In the multi-company management module 1200, when data necessary for management decision making is selected, and when one or more operators are selected, the data of each selected company is integrated and a table partitioning algorithm including the past, present, and potential future (Table Partitioning) Algorithm) applied technology;
A computer-readable recording medium on which a multi-company integrated management program is recorded. delete delete delete delete

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