CN107590730B - Project profit accounting calculation method and system - Google Patents
Project profit accounting calculation method and system Download PDFInfo
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Abstract
The invention discloses a project profit accounting computing method and a project profit accounting computing system. The project profit accounting calculation method utilizes a project profit accounting calculation system, and comprises a fixed asset accounting basic information completion step, an undetermined asset accounting basic information completion step, a general fixed asset information and knowledge product fixed asset information distinguishing step, a fixed asset accounting information type confidence analysis step, a fixed asset accounting information report generation step and a fixed asset accounting information report confidence analysis step.
Description
Technical Field
The invention relates to the technical field of project profit accounting, in particular to a project profit accounting calculation method and a project profit accounting calculation system for a new technical project.
Background
In recent years, the national economic accounting system released by the united nations is not suitable for social needs due to the rapid development of intangible assets, and in a specific aspect, in the profit accounting process of a project, all information to be accounted related to the project cannot be covered by a fixed asset accounting mode which is simple and easy to calculate, under the condition of global economic change and continuous development, SNA1993 obviously cannot keep pace with the rapid economic development and cannot reflect the real economic development level of a country, because the existing national economic accounting is based on the accounting of tangible assets, but in recent years, the development of intangible assets such as intellectual property rights is rapid, and the proportion of tangible assets in the GDP total amount is exceeded in some countries. The premise considered here is the new technology of product type, and the intellectual property product here generally refers to the R & D product accounting project only, and at most includes the supporting software and supporting database, and is generally divided into the aspects of computer software and entertainment.
As for the currently adopted accounting system in China, no intellectual property product definition exists, part of products contained in the intellectual property product, such as computer software, mineral exploration, evaluation and the like, are dispersed in different industries of a production account, and some products are not even listed in a GDP (vector data processing) accounting range, such as a database. In SNA2008, research and development, mineral exploration and evaluation, computer software and evaluation of knowledge products are listed and incorporated into accounting entries of fixed assets, but at present, item accounting includes fixed asset accounting within knowledge products, and there is no simple and efficient information analysis method and information analysis system, which are only the same as usual accounting, so that some values of knowledge products are not easy to accurately estimate, or prospective estimation is required, which cannot be reflected in the conventional manner, and is a defect of the prior art.
Disclosure of Invention
The invention aims to solve the problem that the prior art does not aim at providing overall information support for fixed asset accounting including knowledge products, and provides a computing system for project profit accounting of a new technical project with pertinence and professiveness. A second object is to provide a method of calculating a project profit accounting for a new technical project that is accounted according to the system of calculating a project profit accounting for the new technical project.
The invention provides a computing system for project profit accounting, which is characterized by comprising the following components:
the central computer is responsible for all information processing and computer functions and is provided with a central memory.
The fixed asset accounting basic information memory comprises a fixed asset accounting basic information database which is used for recording fixed asset accounting basic information at the early stage of a project to be accounted and establishing and storing all information items, wherein the fixed asset accounting basic information comprises but is not limited to raw material cost, consumable material cost for production, assembly parts, machinery for production and device cost.
The pending asset accounting basic information memory comprises a pending asset accounting information database which is used for recording pending asset accounting information and establishing and storing all information items, wherein the pending asset accounting information comprises but is not limited to mineral exploration cost, computer software and database cost, various intellectual property declaration and examination registration cost, project evaluation cost and research and development manufacturing cost.
And the general fixed asset accounting memory comprises a general fixed asset accounting database.
And the knowledge product type fixed asset accounting memory comprises a knowledge product type fixed asset accounting database.
The fixed asset accounting information data storage comprises a fixed asset accounting information data database and is used for generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product fixed asset accounting database, indicating whether the items belong to general fixed assets or knowledge product fixed assets in each item and indicating the division reasons.
The system also comprises a plurality of survey terminals, wherein the survey terminals are used for evaluating the confidence degrees of information items in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, a terminal user forms questionnaire answers containing the confidence degree evaluation for the N secondary decomposition indexes, and the questionnaire answers are screened by a machine to obtain effective questionnaires of at least 500-2000 items.
The invention also provides a project profit accounting calculation method, which utilizes the project profit accounting calculation system, and is characterized by comprising the following steps:
1) and (3) completing the basic information of the fixed asset accounting: the method includes the steps of comprehensively collecting all accounts of the project to be accounted and documents and electronic information of financing, capital expenditure and income, and supplementing the fixed asset accounting basic information of the project to be accounted on the basis of the fixed asset accounting basic information including but not limited to raw material cost, consumable material cost for production, accessories for assembly, machinery for production and device cost.
2) And (3) completing the basic information of the to-be-fixed asset accounting: the method comprises the steps of comprehensively collecting all the assets to be checked related to mineral exploration and evaluation, computer software and databases, original articles of literature and artworks, other intangible fixed intellectual property products and research and development expenses of the projects to be checked, and complementing the basic information of the assets to be checked of the projects to be checked on the basis of the comprehensively collected information.
3) The method comprises the following steps of distinguishing general fixed asset information from knowledge product fixed asset information: and sending all information items in the fixed asset accounting basic information database and the pending asset accounting information database to a general fixed asset accounting database for storing information items which can be accurately determined for profit expectation, and sending information items which can not be accurately determined for profit expectation to a knowledge product fixed asset accounting database for storing information items which can not be accurately determined for profit expectation.
4) And fixed asset accounting information type confidence analysis step: and (3) for the general fixed asset accounting information items stored in the fixed asset accounting database and the knowledge product type fixed asset accounting information items stored in the knowledge product type fixed asset accounting database, forming confidence evaluation of each information item by using a plurality of survey terminals, forming questionnaire answers containing the confidence evaluation for the N secondary decomposition indexes by a terminal user, screening the questionnaire answers by a machine to obtain at least 500-2000 effective questionnaires, marking the items with the confidence evaluation value lower than W% when the confidence evaluation average value of the items is lower than W%, and repeating the steps (3) - (4) until the confidence evaluation average value of all the items is higher than or equal to W%, and entering the step (5).
5) A fixed asset accounting information report generation step: in the fixed asset accounting information data database, generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, indicating whether the fixed asset accounting information report belongs to a general fixed asset or a knowledge product type fixed asset in each item, and marking the division reason.
6) And (3) carrying out confidence analysis on the fixed asset accounting information report: and (3) randomly extracting L pieces of information of the general fixed assets or the fixed assets of the knowledge products, performing confidence evaluation by using the plurality of survey terminals, forming questionnaire answers including the confidence evaluation by a terminal user for the N secondary decomposition indexes, requesting a reason when the confidence score is low, obtaining at least 500-2000 effective questionnaires by machine screening the questionnaire answers, confirming that the report is a final fixed asset accounting information report confidence analysis step when the questionnaire answers are continuously and randomly extracted for three times and the average confidence of all the extracted items is greater than or equal to M%, and returning to the step (3) to perform the above reason when the average confidence of the extracted items is less than M%.
Further, the steps 1 to 6 are specifically:
1) and (3) completing the basic information of the fixed asset accounting: the method includes the steps of comprehensively collecting all accounts of the project to be accounted and documents and electronic information of financing, capital expenditure and income, and supplementing the fixed asset accounting basic information of the project to be accounted on the basis of the fixed asset accounting basic information including but not limited to raw material cost, consumable material cost for production, accessories for assembly, machinery for production and device cost.
2) And (3) completing the basic information of the to-be-fixed asset accounting: the method comprises the steps of comprehensively collecting all elements of the project to be checked, which relate to mineral exploration and evaluation, computer software and databases, original documents of literature and artworks, other intangible fixed intellectual property products and research and development expenses, and complementing the basic information of the project to be checked on the basis of the comprehensively collected information.
3) The method comprises the following steps of distinguishing general fixed asset information from knowledge product fixed asset information: and sending all information items in the fixed asset accounting basic information database and the pending asset accounting information database to a general fixed asset accounting database for storing information items which can be accurately determined for profit expectation, and sending information items which can not be accurately determined for profit expectation to a knowledge product fixed asset accounting database for storing information items which can not be accurately determined for profit expectation.
4) And fixed asset accounting information type confidence analysis step: for general fixed asset accounting information items stored in a fixed asset accounting database and knowledge product fixed asset accounting information items stored in a knowledge product fixed asset accounting database, a plurality of investigation terminals are utilized to form confidence evaluation of each information item, a terminal user forms questionnaire answers containing the confidence evaluation for the N secondary decomposition indexes, the questionnaire answers are screened by a machine to obtain effective questionnaires of at least 500-2000 items, when the confidence evaluation average value of the existing items is lower than W%, the items lower than W% are marked, the steps (3) - (4) are repeated, and the step (5) is carried out until the confidence evaluation average values of all the items are higher than or equal to W%; n is not less than 50, and W is between 60 and 70.
5) A fixed asset accounting information report generation step: in the fixed asset accounting information data database, generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, indicating whether the fixed asset accounting information report belongs to a general fixed asset or a knowledge product type fixed asset in each item, and marking the division reason.
6) And (3) carrying out confidence analysis on the fixed asset accounting information report: the information of the general fixed assets or the fixed assets of the knowledge product class recorded in the fixed asset accounting information report is randomly extracted by L pieces, confidence degree evaluation is carried out by utilizing the plurality of investigation terminals, and forming a questionnaire answer containing confidence evaluation for the N secondary decomposition indexes by the terminal user, and require a reason when the confidence score is lower, the answer to the questionnaire is screened by a machine to obtain at least 500 and more than 2000 effective questionnaires, confirming the report as the final fixed asset accounting information report confidence analysis step when the average confidence of all the extracted items is greater than or equal to M% after three times of continuous random extraction, and (4) if the average confidence coefficient of the extracted items is less than M%, returning to the step (3) to carry out the above reason, wherein N is not less than 50, and M is between 70 and 80.
The invention has the advantages that the method can be mainly divided into two points, firstly, a means and a method for providing the information support of the system aiming at the problem of providing the overall informatization support for the accounting of the fixed assets in the knowledge products, and secondly, aiming at the accounting items comprising a plurality of knowledge products, the accurate account or cost is not easy to determine in the accounting, the actual value is not expected, the actual problem is that the items with the value not easy to be expected are listed separately for accounting, the tracking and adjustment in the later period are convenient, the enterprise and investment strategy is realized in a targeted manner, and a very meaningful information reference means is provided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a project profitability accounting calculation method of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Example 1
A computing system for profitable accounting of a project, comprising:
the central computer is responsible for all information processing and computer functions and is provided with a central memory.
The fixed asset accounting basic information memory comprises a fixed asset accounting basic information database which is used for recording the fixed asset accounting basic information at the early stage of the project to be accounted and establishing and storing all information items, wherein the fixed asset accounting basic information comprises but is not limited to the cost of raw materials, the cost of consumable materials for production, the cost of accessories for assembly, the cost of machinery for production and the cost of devices; the information here mainly includes fixed asset information that is known to be easily billed and that does not change expenses and incomes, such as land and buildings, instruments and equipment, information data that is previously purchased if computer software and databases are purchased, can be counted as this category.
The pending asset accounting basic information memory comprises a pending asset accounting information database which is used for recording pending asset accounting information and establishing and storing all information items, wherein the pending asset accounting information comprises but is not limited to mineral exploration cost, computer software and database cost, various intellectual property declaration and examination registration cost, project evaluation cost and research and development manufacturing cost; many of the expenses are not easily estimated in advance, such as patent rights, trademark rights, premium and added value of copyright, training related expenses, computer software maintenance expenses, total research, development and manufacturing expenses, and the like.
And the general fixed asset accounting memory comprises a general fixed asset accounting database.
And the knowledge product type fixed asset accounting memory comprises a knowledge product type fixed asset accounting database.
The fixed asset accounting information data storage comprises a fixed asset accounting information data database and is used for generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product fixed asset accounting database, indicating whether the items belong to general fixed assets or knowledge product fixed assets in each item and indicating the division reasons.
The system also comprises a plurality of survey terminals, wherein the survey terminals are used for evaluating the confidence degrees of information items in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, a terminal user forms questionnaire answers containing the confidence degree evaluation for the N secondary decomposition indexes, and the questionnaire answers are screened by a machine to obtain effective questionnaires of at least 500-2000 items.
A method of calculating a profit calculation for a project using a project profit calculation computing system as described above, comprising the steps of:
1) and (3) completing the basic information of the fixed asset accounting: the method includes the steps of comprehensively collecting all accounts of the project to be accounted and documents and electronic information of financing, capital expenditure and income, and supplementing the fixed asset accounting basic information of the project to be accounted on the basis of the fixed asset accounting basic information including but not limited to raw material cost, consumable material cost for production, accessories for assembly, machinery for production and device cost.
2) And (3) completing the basic information of the to-be-fixed asset accounting: the method comprises the steps of comprehensively collecting all elements of the project to be checked, which relate to mineral exploration and evaluation, computer software and databases, original documents of literature and artworks, other intangible fixed intellectual property products and research and development expenses, and complementing the basic information of the project to be checked on the basis of the comprehensively collected information.
3) The method comprises the following steps of distinguishing general fixed asset information from knowledge product fixed asset information: for all information items in the fixed asset accounting basic information database and the to-be-assessed asset accounting information database, regarding information items which can be accurately determined for profit expectation, the information items are used as general fixed asset accounting information and sent to a general fixed asset accounting database for storage, and regarding information items which cannot be accurately determined for profit expectation, the information items are used as knowledge product fixed asset accounting information and sent to a knowledge product fixed asset accounting database for storage; the accurate determination here means that no extra charge is incurred for the matter, or no unnecessary expenditure or profit is incurred, for example, a patent right is sold at the price of ABC, which is a value that is determined, but if the patent license fee is charged for how much each year a certain unit is, the income is floating, unpredictable, because it is difficult to accurately predict how many businesses are the subject of the license fee.
4) And fixed asset accounting information type confidence analysis step: for general fixed asset accounting information items stored in the fixed asset accounting database and knowledge product fixed asset accounting information items stored in the knowledge product fixed asset accounting database, forming confidence level evaluation of each information item by using a plurality of survey terminals, forming questionnaire answers containing the confidence level evaluation for the N secondary decomposition indexes by a terminal user, screening the questionnaire answers by a machine to obtain at least 500-2000 effective questionnaires, marking the items with the confidence level evaluation average value lower than W% when the items exist, repeating the steps (3) - (4) until the confidence level evaluation average values of all the items are higher than or equal to W%, and entering the step (5); n is not less than 50, and W is between 60 and 70.
5) A fixed asset accounting information report generation step: in the fixed asset accounting information data database, generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, indicating whether the fixed asset accounting information report belongs to a general fixed asset or a knowledge product type fixed asset in each item, and marking the division reason.
6) And (3) carrying out confidence analysis on the fixed asset accounting information report: the information of the general fixed assets or the fixed assets of the knowledge product class recorded in the fixed asset accounting information report is randomly extracted by L pieces, confidence degree evaluation is carried out by utilizing the plurality of investigation terminals, and forming a questionnaire answer containing confidence evaluation for the N secondary decomposition indexes by the terminal user, and require a reason when the confidence score is lower, the answer to the questionnaire is screened by a machine to obtain at least 500 and more than 2000 effective questionnaires, confirming the report as the final fixed asset accounting information report confidence analysis step when the average confidence of all the extracted items is greater than or equal to M% after three times of continuous random extraction, and (4) if the average confidence coefficient of the extracted items is less than M%, returning to the step (3) to carry out the above reason, wherein N is not less than 50, and M is between 70 and 80.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that are not thought of through the inventive work should be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope defined by the claims.
Claims (1)
1. A method of calculating a profit calculation for a project, performed using a computing system for profit calculation for a project, the computing system comprising:
a central computer, which is responsible for all information processing and computer functions and is provided with a central memory;
the fixed asset accounting basic information memory comprises a fixed asset accounting basic information database which is used for recording fixed asset accounting basic information at the early stage of a project to be accounted and establishing and storing all information items, wherein the fixed asset accounting basic information comprises raw material cost, consumable material cost for production, accessories for assembly, machinery and device cost for production;
the pending asset accounting basic information memory comprises a pending asset accounting information database which is used for recording pending asset accounting information and establishing items for storing all the information, wherein the pending asset accounting information comprises mineral exploration cost, computer software and database cost, various intellectual property right declaration and examination registration cost, project evaluation cost and research and development manufacturing cost;
a general fixed asset accounting memory containing a general fixed asset accounting database;
the knowledge product fixed asset accounting memory comprises a knowledge product fixed asset accounting database;
the fixed asset accounting information data storage comprises a fixed asset accounting information data database and is used for generating a fixed asset accounting information report on the basis of information items related to items to be accounted in the general fixed asset accounting database and the knowledge product fixed asset accounting database, indicating whether the items belong to general fixed assets or knowledge product fixed assets in each item and indicating dividing reasons;
the system also comprises a plurality of survey terminals, a plurality of data acquisition terminals and a plurality of data processing terminals, wherein the survey terminals are used for evaluating the confidence degrees of information items in a general fixed asset accounting database and a knowledge product type fixed asset accounting database, a terminal user forms questionnaire answers containing the confidence degree evaluation for the N secondary decomposition indexes, and the questionnaire answers are subjected to machine screening to obtain at least 500 effective questionnaires;
the method is characterized by comprising the following steps:
(1) and (3) completing the basic information of the fixed asset accounting: comprehensively collecting all accounts of the project to be accounted and documents and electronic information of financing, capital expenditure and income, and supplementing the fixed asset accounting basic information of the project to be accounted on the basis of the fixed asset accounting basic information comprising raw material cost, consumable material cost for production, accessories for assembly, machinery for production and device cost;
(2) and (3) completing the basic information of the to-be-fixed asset accounting: comprehensively collecting all elements of the project to be checked, relating to mineral exploration and evaluation, computer software and databases, literature and artwork, research and development costs, and supplementing the basic information of the project to be checked for assets to be checked on the basis of the comprehensively collected information;
(3) the method comprises the following steps of distinguishing general fixed asset information from knowledge product fixed asset information: for all information items in the fixed asset accounting basic information database and the to-be-assessed asset accounting information database, regarding information items which can be accurately determined for profit expectation, the information items are used as general fixed asset accounting information and sent to a general fixed asset accounting database for storage, and regarding information items which cannot be accurately determined for profit expectation, the information items are used as knowledge product fixed asset accounting information and sent to a knowledge product fixed asset accounting database for storage;
(4) and fixed asset accounting information type confidence analysis step: for general fixed asset accounting information items stored in a fixed asset accounting database and knowledge product fixed asset accounting information items stored in a knowledge product fixed asset accounting database, forming confidence evaluation of each information item by using a plurality of survey terminals, forming questionnaire answers containing the confidence evaluation for the N secondary decomposition indexes by a terminal user, obtaining at least 500 effective questionnaires by machine screening the questionnaire answers, marking the items with the confidence evaluation lower than W% when the average value of the confidence evaluation of the items is lower than W%, repeating the steps (3) - (4) until the average value of the confidence evaluation of all the items is higher than or equal to W%, and entering the step (5); n is not less than 50, and the value of W is between 60 and 70;
(5) a fixed asset accounting information report generation step: generating a fixed asset accounting information report on the basis of information items related to items to be accounted in a general fixed asset accounting database and a knowledge product type fixed asset accounting database in a fixed asset accounting information data database, indicating whether the items belong to general fixed assets or knowledge product type fixed assets in each item, and marking dividing reasons;
(6) and (3) carrying out confidence analysis on the fixed asset accounting information report: and (3) randomly extracting L pieces of information of the general fixed assets or the fixed assets of the knowledge product class recorded in the fixed asset accounting information reports, performing confidence evaluation by using the plurality of survey terminals, forming questionnaire answers containing the confidence evaluation by a terminal user for the N secondary decomposition indexes, requiring a reason when the confidence score is low, screening the questionnaire answers by a machine to obtain at least 500 effective questionnaires, confirming that the report is a final fixed asset accounting information report confidence analysis step when the answers are continuously and randomly extracted for three times and the average confidence of all the extracted items is greater than or equal to M%, and returning to the step (3) to perform the above reason if the average confidence of the extracted items is less than M%, wherein N is not less than 50, and the value of M is between 70 and 80.
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