CN108595399B - Artificial intelligence generation method for digital aircraft simulation research budget table - Google Patents
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Abstract
The invention discloses an artificial intelligence generation method of a digital aircraft simulation research scientific research budget table, which comprises the following steps: and (3) setting up a human-computer interaction module, estimating a budget expert system reasoning budget scheme, connecting the expert system and the human-computer interaction module through configuration files or instruction communication, and automatically generating a budget report Word document by one key. And the budget expert system deduces various budget sums meeting the requirements of the expense management method by using the knowledge base and the method base according to the project information obtained by the man-machine interaction module and displays the budget sums to the user in real time. The user can feed back the expense allocation requirement for multiple times through the interaction module so that the budget expert system can adjust the inferred budget result for multiple times, and therefore a scientific research budget scheme with high satisfaction is obtained. The invention can quickly output the corresponding scientific research budget scheme report according to the individual requirements of the user and the actual needs of the project, and is more scientific and standardized, thereby reducing the workload of the scientific research personnel for compiling the project expense budget and improving the budget compiling efficiency.
Description
Technical Field
The invention relates to program design, logical reasoning, knowledge acquisition and man-machine interaction, and belongs to the field of artificial intelligence.
Background
Prolog is one of the most influential artificial intelligence languages in the present generation, and because the language is very suitable for expressing thinking and reasoning rules of people, the language is widely applied in aspects of natural language understanding, machine theorem proving, expert systems and the like, and becomes a powerful development language in the field of artificial intelligence application. The Prolog has only three basic sentences, namely facts, rules and targets, and all expressed by predicates, so that the program has strong logic, simple grammar and clear and understandable property. Prolog, on the other hand, is a declarative language that automatically solves a given goal of a program using an internal deductive reasoning mechanism once it has been submitted with the necessary facts and rules, without the need to list detailed solving steps in the program.
The Human-computer interaction (HCI) is a technical science which enables a researcher to complete information management, service, processing and other functions for people to the maximum extent through mutual understanding of communication and communication between the researcher and the computer, and enables the computer to be a harmonious assistant for people to work and study. The human-computer interaction module comprises but is not limited to a C # human-computer interaction interface.
The C # language is evolved from C/C + +, is an object-oriented high-level programming language running on NET Framework. The language can support functions such as strong type checking, array dimension checking, uninitialized variable reference detection, automatic memory release and the like. The method simplifies the fields of class, name space, method overload, exception handling and the like of C + +, abandons the complexity of C + +, and makes the method easier to use and less in error.
At present, in scientific research work, the budget of a scientific research project is manually compiled by scientific research personnel, time and labor are wasted, and the application and the development of the scientific research project are influenced to a certain extent. Aiming at the simulation research of the digital aircraft, the computer can automatically deduce a budget allocation scheme according to the actual project requirements input by the user for specific scientific research projects in the simulation research by adopting the artificial intelligent automatic generation method of the scientific research expense budget table, and the user can also put forward an adjustment requirement to the computer through the man-machine interaction module to adjust the budget for multiple times, so that a scientific research budget scheme with high satisfaction is obtained and a Word report of the required budget scheme can be generated by one key. The C # human-computer interaction interface is combined with the Prolog expert system, so that the budget allocation scheme can be deduced simply and rapidly according to the actual project requirements of the user, and is more humanized, and the budget expert system has good expansibility and maintainability, so that the deduced budget allocation scheme is more standardized and scientific, the workload of scientific research personnel for compiling project expenditure budget is greatly reduced, and the budget compiling efficiency is improved.
Disclosure of Invention
In view of the above, the invention provides an artificial intelligence generation method for a digital aircraft simulation research scientific research budget table, which avoids repeated development work of people and improves program development efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
an artificial intelligence generation method for a digital aircraft simulation research budget table mainly comprises the following steps: setting up a human-computer interaction module, setting up a scientific research budget expert system, connecting the expert system and the human-computer interaction module through configuration file or instruction communication, and generating a expenditure budget Word report by one key
Preferably, the man-machine interaction building module mainly comprises a developer interface, a user interface and a system interface;
the method for building the human-computer interaction module mainly comprises the following steps:
newly building or loading project information;
setting an initial budget requirement;
inputting a user budget adjustment feedback requirement;
monitoring the budget adjustment result in real time, and generating a scientific research expenditure budget Word report by one key;
adding, deleting or editing a Word template, and carrying out personalized setting on fonts, table frames, alignment modes and the like in the template;
storing the budget result every time, wherein a subsequent user can choose to continue adjusting on the basis of a certain budget result version in the currently stored results or choose to restart reasoning on the basis of the project information to obtain the budget result for readjustment;
the building human-computer interaction module comprises but is not limited to a C # human-computer interaction interface and voice recognition.
Preferably, the developer interface is used primarily for creating and modifying a budget knowledge base in a budget expert system. The user interface is used for newly building a budget project, setting scientific research project information, and loading related operations required by users such as the existing budget project information. The system interface is mainly used for connecting a one-key generation budget report Word document program module.
Preferably, the budget expert system comprises a knowledge base, a method base and an inference mechanism;
the knowledge base is divided into a budget template knowledge base and a budget style knowledge base;
the budget template knowledge base is used for storing information of various existing expense management methods, including but not limited to item types suitable for the management methods, expense items specified by the management methods, sub-items contained in the expense items and an expense approximate error range;
the budget style knowledge base is used for storing and calculating proportion information of the total sum occupied by the corresponding expenses, and comprises a multi-gear adjustable proportion of each expense corresponding to each budget template, each expense proportion contained in the style and a sub-project expense proportion contained in each expense;
the method library is divided into an expense distribution method library, a user feedback method library, a general calculation method library and a file reading and writing method library:
the expense allocation method library is used for storing various budget project allocation method information corresponding to each budget template;
the user feedback method library is used for storing feedback requirements proposed by users and corresponding expense adjusting methods, and comprises the increase or decrease of the sum of one or more expenses and the corresponding adjusting degree;
the general calculation method library is used for storing general calculation rules in each budget allocation method, and comprises the steps of solving the maximum value and the minimum value of list data, summing the list data, rounding the data and deleting a specific value in the list;
the file reading and writing method library is used for storing rules for reading the writing budget result output file, including but not limited to an INI file;
the reasoning mechanism is as follows:
the budget expert system deduces a most reasonable expense allocation scheme by adopting a plurality of expense item allocation methods in the method library according to the acquired item information and combining the selected budget style, the set budget requirement and the budget knowledge base. When the user needs to adjust the scheme, the expert system specially adjusts the proportion and the amount of the corresponding expense project according to the actual project requirement input by the user, and deduces a new expense distribution scheme which is closer to the actual project requirement;
according to the mode, a user can put forward corresponding adjustment requirements through the man-machine interaction module for multiple times according to the budget result displayed by the interaction module, and the expert system performs multiple adjustment feedback, deduces the expense allocation scheme with the highest user satisfaction degree and outputs the scheme in the form of a configuration file;
the budget expert system can modify and expand the knowledge base and part of the method base of the expert system through a human-computer interaction module or in a code file;
the knowledge base and the method base are divided into a plurality of code files according to budget template types respectively.
Preferably, the configuration file or the instruction is used for connecting the expert system and the configuration file in the human-computer interaction module in a communication manner, and the configuration file includes but is not limited to an INI file, a TXT file and an XML file;
the step of connecting the expert system and the man-machine interaction module by the configuration file or the instruction communication comprises the following steps:
the human-computer interaction module reads a budget scheme result obtained by expert system reasoning through a configuration file;
the expert system reads a project requirement instruction input by a user through a configuration file output by the man-machine interaction module to carry out reasoning;
the instruction communication connection comprises that the interactive module sends a rule operation instruction to the expert system, and the expert system sends data to the interactive module.
Preferably, the one-key generation of the budget Word report link comprises the following steps:
a user selects a required template in a Word template library through the human-computer interaction module;
the man-machine interaction module calls a document one-key generation program to generate a database according to a budget result file writing report output by the expert system;
the document one-key generation program can insert corresponding texts, tables and pictures at the bookmark position of the Word template selected by the user according to the report generation database, so as to output a corresponding budget Word report; the Word template library consists of a plurality of Word report templates which are added with bookmarks.
Preferably, the scientific research project information mainly includes, but is not limited to, scientific research project name, project type, the expense management method used by the project, total amount of expenses, budget style, number of research personnel, working time and project achievement type.
Preferably, the user can add or modify predicates and parameters in a customized way through a human-computer interaction module or an expert system file to describe the fact, so that the knowledge base and the method base in the expert system are modified and expanded.
Preferably, the configuration file output by the expert system is a computer file written with a detailed budget scheme result inferred by the expert system according to the requirements of the user;
the configuration file divides a plurality of blocks according to the expense items contained in the budget template besides the item information blocks, and each block describes the specific amount of the expense item, the sub-item amount and the approximate calculation item in detail;
by reading the configuration file, the man-machine interaction module can display the budget result obtained by the expert system in real time for the user to refer to, and can generate a Word detailed report of the budget result at this time by one key.
By adopting the technical scheme, the invention has the following beneficial effects:
aiming at scientific research projects in simulation research of the digital aircraft, the artificial intelligence generation method of the scientific research budget table utilizes knowledge and experience of finance and scientific research experts to deduce and obtain a detailed scientific research budget scheme which is closer to actual project requirements, thereby solving the problem of compiling scientific research budgets.
The method carries out reasoning and judgment according to expert knowledge, experience and actual project requirements by applying artificial intelligence and computer technology, simulates the decision process of human experts, and is more scientific and standardized compared with the traditional mode. The budget expert system has good expansibility and maintainability, and system maintainers can modify corresponding knowledge base and method base along with the change of national and local policies, and can continuously adapt to the development of budget planning requirements. The human-computer interaction module in the method can not only display the inferred budget scheme data result in real time, but also receive the actual project requirements provided by the user to carry out rapid inference and adjustment on the budget scheme, and the output result is visual and clear and is more humanized. Meanwhile, the method also supports the output of a scientific research budget Word report according to budget scheme data and the personalized requirements of users, is convenient and quick, and is more close to the actual project requirements.
The artificial intelligent automatic generation method for the digital aircraft simulation research budgeting, provided by the invention, provides a standardized, scientific and rapid scientific research budgeting allocation scheme compilation and budgeting word report writing tool for vast scientific researchers aiming at scientific research projects in the digital aircraft simulation research, is simple to use and operate, is more reasonable, scientific and efficient, greatly reduces the workload of the scientific researchers in compiling project budgets, and improves the budgeting efficiency.
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 embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of the composition and function of a human-computer interaction interface of the artificial intelligence generation method for the simulation research of the digital aircraft for the scientific research budget;
FIG. 2 is a flowchart of the method for generating an artificial intelligence budget for scientific research budgets for simulation research of digital aircrafts according to the present invention;
FIG. 3 is a flow chart of one-key generation of a development expenditure budget Word report by the method for artificially and intelligently generating a digital aircraft simulation research scientific research budget.
FIG. 4 is a diagram of an artificial intelligence automatic generation method of the budget chart for scientific research budgets according to the artificial intelligence generation method of the digital aircraft simulation research.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described below.
The invention discloses an artificial intelligence generation method of a digital aircraft simulation research scientific research budget table, which mainly comprises the following steps: and constructing a human-computer interaction module, constructing a scientific research budget expert system, connecting the expert system and the human-computer interaction module through configuration files or instruction communication, and generating a expenditure budget Word report by one key.
Firstly, a man-machine interaction module is built.
The construction of the human-computer interaction module mainly comprises the following steps:
newly building or loading project information;
setting an initial budget requirement;
inputting a user budget adjustment feedback requirement;
monitoring the budget adjustment result in real time, and generating a scientific research expenditure budget Word report by one key;
adding, deleting or editing a Word template, and carrying out personalized setting on fonts, table frames, alignment modes and the like in the template;
storing the budget result every time, wherein a subsequent user can choose to continue adjusting on the basis of a certain budget result version in the currently stored results or choose to restart reasoning on the basis of the project information to obtain the budget result for readjustment;
the developer interface is mainly used for creating and modifying a budget knowledge base in the budget expert system. The user interface is used for newly building a budget project, setting scientific research project information, and can also be used for loading the existing budget project, modifying the scientific research project information and other related operations required by the user. The system interface is mainly used for connecting a one-key generation budget report Word document program module.
Referring to the drawings of the specification, fig. 1-2 are schematic diagrams illustrating the composition and functions of a human-computer interaction interface, and fig. 2 is a flowchart for generating a budget expenditure plan.
The man-machine interaction module disclosed by the invention comprises but is not limited to a C # man-machine interaction interface, and the C # man-machine interaction interface is taken as an example.
In particular implementation, the interactive interface is a Windows form application program project developed and established in a Microsoft Visual Studio environment.
A TabControl control is first added to the interface. The TabControl option card is divided into three sub-interfaces of budget knowledge base maintenance, Word template base maintenance and expense budget generation.
Adding controls such as ComboBox, ListBox, TextBox, Label, Button and the like on a budget knowledge base maintenance interface, adding or modifying Prolog fact predicates in a personalized mode by using a ComBox event trigger function, and adding or modifying parameters contained in corresponding predicates by using a TextBox event trigger function so as to describe budget template components, budget style components and user feedback rules.
Some examples are listed below:
the budgetStyle (1, style2,1,4,6,2,2,3,2,1) is a predicate describing the fact of the usage style of the budget, and (1, style2,1,4,6,2,2,3,2,1) is a parameter, which sequentially describes the budget template serial number and the style type, and the scale number serial numbers corresponding to the 8 expenditure items in the style.
limitupdown (1,1,0,0.4) is a predicate for describing the upper limit and the lower limit of the proportion of each expense item, and (1,1,0,0.4) is a parameter for describing the budget template number, the expense item number, the lower limit of the proportion of the expense items in the total items and the upper limit of the proportion of the expense items in the total items in turn.
grade (2,1,2,0.1) which is a predicate for describing the adjustable gear number of each expenditure proportion, and (2,1,2,0.1) which is a parameter and sequentially describes the budget template serial number, the expenditure item serial number, the gear serial number and the proportion of the expense in the total expenditure of the corresponding gear.
feedback (+ +,2), feedback is a predicate describing the feedback requirement of a person, the (+ +,2) is a parameter, the (+ + represents the degree of proportion increase (certain cost is more), the 2 is a proportion increase by 2, and the (-1) represents that certain cost is less, and the proportion is reduced by 1.
All predicate users can be defined individually, and parameters are set properly according to corresponding scientific research fund management methods.
And adding controls such as ComboBox, checkBox, Button and the like in a Word template library maintenance interface, wherein the interface can respond to user operation through event trigger functions of corresponding controls.
For example, a user can open a selected Word document from an interface, add text, table and photo-like bookmarks to create a new Word template, and save the new Word template added to the Word template library under the relative path; the functions of adding, deleting and modifying Word template documents to the Word template library can be realized; the basic document parameters such as table frame, font size, font type, alignment mode and the like for setting the Word budget report to be generated can be input.
And generating an interface by the budget, and adding controls such as TextBox, Label, Button, ComboBox, DataGridView and the like. The user can generate the budget result, generate the budget report, and adjust the budget allocation and the budget result storage operation by using the interface.
The interface reads scientific research project names, project types, financial management methods used by the projects, total amount of financial expenses, budget style, the number of people participating in research, working duration, project result types and other scientific research project information input by users through corresponding textBox text reading functions, and calls an INI file writing function in a C # program to store the information into an INI configuration file which can be read by an expert system. The DataGridView control function can read an INI file output by the expert system, display details of each item of expense in real time, and simultaneously can acquire the requirement of a user for adjusting some expenses, a button + represents that the item is turned up, a button-represents that the item is turned down, and the number of clicks represents the adjustment degree and is related to the user feedback rule condition in the expert system. Table 1 generates a partial interface for adjusting the budget for a large item of budget for a human machine interface.
TABLE 1
The budget result storage button trigger function in the man-machine interaction interface can store the budget result INI file output by the expert system as another file. The text reading function of the interface may read other feedback adjustment requirements entered by the user. Through the interface, the user can select a certain budget result under the budget result saving path so as to continue the adjustment on the basis. Clicking on the generate report button trigger may generate a budget book Word document.
Secondly, constructing a budget expert system
The constructed reasoning mechanism of the budget expert system comprises the following steps:
the budget expert system deduces a most reasonable expense allocation scheme by adopting a plurality of expense item allocation methods in the method library according to the acquired item information and combining the selected budget style, the set budget requirement and the budget knowledge base. When the user needs to adjust the scheme, the expert system specially adjusts the proportion and the amount of the corresponding expense project according to the actual project requirement input by the user, and deduces a new expense distribution scheme which is closer to the actual project requirement;
according to the mode, a user can put forward corresponding adjustment requirements through the man-machine interaction module for multiple times according to the budget result displayed by the interaction module, and the expert system performs multiple adjustment feedback, deduces the expense allocation scheme with the highest user satisfaction degree and outputs the scheme in the form of a configuration file; the budget expert system can modify and expand the knowledge base and part of the method base of the expert system through a human-computer interaction module or in a code file;
the knowledge base and the method base are divided into a plurality of code files according to budget template types respectively.
The construction of the expert system is here exemplified by the prolog language, but is not limited to this language.
During specific implementation, a plurality of PL files which can be compiled and run by Prolog are compiled to form an expert system according to functions implemented by rules, wherein a knowledge base and a method base are a set of knowledge and methods adopted by scientific research and financial experts for budget planning according to the existing national budget management method, school management method regulations and specific scientific research project requirements.
The following table mainly introduces each function file and gives some examples:
TABLE 2
For example, a project is 40 ten thousand yuan, the year of the project is 2 years, the project type is a folk project, the major special management method of folk science and technology is used, the research personnel are 2 doctors and 4 masters, and the working time of each year is 10 months. The budget expert system outputs an INI file for generating a Word budget report. The document is divided into a plurality of blocks such as PROJECT basic INFORMATION (PROJECT INFORMATION), equipment COST (DEVICE COST), MATERIAL COST (MATERIAL COST), labor COST (salt COST) and the like according to the expense items specified by the expense management method, and each block is recorded with sub-items and approximate calculation INFORMATION contained in the expense, such as the equipment COST, the purchase or trial production special equipment COST in the PROJECT implementation process, the upgrading and transformation COST of the existing equipment and the expense generated by leasing and using external unit equipment.
Establishing connection between expert system and man-machine interaction module
The configuration file or the configuration file in the instruction communication connection expert system and the man-machine interaction module comprises but is not limited to an INI file, a TXT file and an XML file;
the step of connecting the expert system and the man-machine interaction module by the configuration file or the instruction communication comprises the following steps:
the human-computer interaction module reads a budget scheme result obtained by expert system reasoning through a configuration file;
the expert system reads a project requirement instruction input by a user through a configuration file output by the man-machine interaction module to carry out reasoning;
the instruction communication connection comprises that the interaction module sends a rule operation instruction to the Prolog expert system, and the Prolog expert system sends data to the interaction module.
This is explained here on the basis of the previous two part examples.
Taking the C # human-computer interaction interface as an example, in the process of maintaining the budget knowledge base, the C # program can perform Prolog real library entry. In the Budget reasoning generation process, the C # program sends a generate _ Budge rule operation instruction to the Prolog program or transmits a requirement of user feedback, such as a cost _ Material, a plus, etc.
During specific implementation, corresponding codes are respectively added into a C # program and a Prolog program to establish connection between the Prolog and the C #:
the method mainly comprises writing or reading budget scheme results inferred by an expert system and reading user adjustment requirements through a configuration file mode. C # reads or writes the configuration file by using functions in the StreamReader or StreamWriter class, and the Prolog completes the reading and writing of the configuration file by using statements such as open (Path, read, Sr), read (Sr, S1), open (Path, write, Sw), write (Sw, S2) and the like, wherein Path is the Path of the configuration file.
The instruction communication mode is mainly to establish the connection between prolog and C #, and the two parties can send instructions and data to each other.
Rules in the Prolog expert system are run, e.g. using the Prolog interface PlQuery, pleengine etc. class provided by C #.
Fourth, one-key generation of development expenditure budget Word report
The one-key generation of the budget Word reporting link comprises the following steps:
a user selects a required template in a Word template library through the human-computer interaction module;
the man-machine interaction module calls a document one-key generation program to generate a database according to a budget result file writing report output by the expert system;
the document one-key generation program can insert corresponding texts, tables and pictures at the bookmark position of the Word template selected by the user according to the report generation database, so as to output a corresponding budget expenditure Word report; the Word template library consists of a plurality of Word report templates which are added with bookmarks.
Referring to FIG. 3 of the drawings, FIG. 3 is a flowchart of generating one-key report for developing budget Word.
The following further describes the document one-key generation C # program as an example.
The document one-key generation C # program is mainly composed of a written document generation database program and a document processing generation program.
And C # writing a document generation database program to read an INI budget result file output by the expert system, and writing a document information database dbreport. The database comprises data tables such as Word templates including bookmark tables, Word template definition tables, text bookmark definition tables, table cell definition tables, picture bookmark definition tables and the like.
And reading information of each expense item, sub-item and approximate calculation in the INI budget result file line by using a file reading program statement in the C #, and writing the information into a text bookmark definition table, a form bookmark definition table and a form cell definition table. And inserting texts, tables and pictures at corresponding bookmarks of the word by the C # document processing and generating program according to a dbReport. The program respectively writes functions inserted at corresponding bookmarks for three different contents of text, table and picture.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The artificial intelligence generation method of the digital aircraft simulation research budget table is characterized by mainly comprising the following steps: building a human-computer interaction module, building a scientific research budget expert system, connecting the expert system and the human-computer interaction module through configuration files or instruction communication, and generating a expenditure budget Word report by one key;
the budget expert system comprises a knowledge base, a method base and an inference mechanism; the knowledge base is divided into a budget template knowledge base and a budget style knowledge base; the budget template knowledge base is used for storing information of various existing expense management methods, including but not limited to item types suitable for the management methods, expense items specified by the management methods, sub-items contained in the expense items and an expense approximate error range;
the budget style knowledge base is used for storing and calculating proportion information of the total sum occupied by the corresponding expenses, and comprises a multi-gear adjustable proportion of each expense corresponding to each budget template, each expense proportion contained in the style and a sub-project expense proportion contained in each expense;
the method library is divided into an expense distribution method library, a user feedback method library, a general calculation method library and a file reading and writing method library:
the expense allocation method library is used for storing various budget project allocation method information corresponding to each budget template;
the user feedback method library is used for storing feedback requirements proposed by users and corresponding expense adjusting methods, and comprises the increase or decrease of the sum of one or more expenses and the corresponding adjusting degree;
the general calculation method library is used for storing general calculation rules in each budget allocation method, and comprises the steps of solving the maximum value and the minimum value of list data, summing the list data, rounding the data and deleting a specific value in the list;
the file reading and writing method library is used for storing rules for reading the writing budget result output file, including but not limited to an INI file;
the reasoning mechanism is as follows: the budget expert system deduces a most reasonable expense allocation scheme by combining the selected budget style, the set budget requirement and a budget knowledge base according to the acquired project information and adopting a plurality of expense project allocation methods in a method base, and when a user needs to adjust the scheme, the expert system specially adjusts the proportion and the amount of corresponding expense projects according to the actual project requirements input by the user, and deduces a new expense allocation scheme closer to the actual project requirements; the user can put forward corresponding adjustment requirements through the man-machine interaction module for multiple times according to the budget result displayed by the interaction module, and the expert system performs multiple adjustment feedback to deduce the expense allocation scheme with the highest user satisfaction degree and output the scheme in the form of a configuration file;
the budget expert system can modify and expand the knowledge base and part of the method base of the expert system through a human-computer interaction module or in a code file; the knowledge base and the method base are divided into a plurality of code files according to budget template types respectively.
2. The artificial intelligence generation method of the budget chart for the simulation research and the scientific research of the digital aircraft as claimed in claim 1, wherein the construction of the human-computer interaction module mainly comprises a developer interface, a user interface and a system interface; the method for building the human-computer interaction module mainly comprises the following steps: newly building or loading project information; setting an initial budget requirement; inputting a user budget adjustment feedback requirement; monitoring the budget adjustment result in real time, and generating a scientific research expenditure budget Word report by one key; adding, deleting or editing a Word template, and carrying out personalized setting on fonts, table frames, alignment modes and the like in the template; storing the budget result every time, wherein a subsequent user can choose to continue adjusting on the basis of a certain budget result version in the currently stored results or choose to restart reasoning on the basis of the project information to obtain the budget result for readjustment; the building human-computer interaction module comprises but is not limited to a C # human-computer interaction interface and voice recognition.
3. The artificial intelligence generation method for the budget table for the simulation research of the digital aircraft as claimed in claim 1, wherein a developer interface is mainly used for creating and modifying a budget knowledge base in a budget expert system, the user interface is used for creating a budget project, setting scientific research project information, and loading related operations required by users such as existing budget project information, and the system interface is mainly used for connecting a one-key generation budget report Word document program module.
4. The method for generating an artificial intelligence budget sheet for research and simulation of digital aircraft according to claim 1, wherein the configuration file or the configuration file in the command communication connection expert system and the human-computer interaction module includes but is not limited to an INI file, a TXT file, and an XML file;
the step of connecting the expert system and the man-machine interaction module by the configuration file or the instruction communication comprises the following steps:
the human-computer interaction module reads a budget scheme result obtained by expert system reasoning through a configuration file;
the expert system reads a project requirement instruction input by a user through a configuration file output by the man-machine interaction module to carry out reasoning; the instruction communication connection comprises that the interactive module sends a rule operation instruction to the expert system, and the expert system sends data to the interactive module.
5. The artificial intelligence generation method of the digital aircraft simulation research scientific research budget table according to claim 1, wherein the one-key generation of the budget Word report link comprises the following steps: a user selects a required template in a Word template library through the human-computer interaction module;
the man-machine interaction module calls a document one-key generation program to generate a database according to a budget result file writing report output by the expert system; the document one-key generation program can insert corresponding texts, tables and pictures at the bookmark position of the Word template selected by the user according to the report generation database, so as to output a corresponding budget expenditure Word report; the Word template library consists of a plurality of Word report templates which are added with bookmarks.
6. The method according to claim 3, wherein the scientific research project information includes but is not limited to scientific research project name, project type, financial management method used by the project, total amount of financial, budget style, number of research personnel, working hours, and project achievement type.
7. The artificial intelligence generation method for the digital aircraft simulation research scientific research budget table as claimed in claim 1, wherein a user can modify and expand the knowledge base and the method base in the expert system by adding or modifying predicates and parameters through a human-computer interaction module or an expert system file in a self-defined mode to describe facts.
8. The artificial intelligence generation method for the budget sheet for the simulation research of the digital aircraft according to claim 4, wherein the configuration file output by the expert system is a computer file written with detailed budget scheme results inferred by the expert system according to the requirements of the user; the configuration file divides a plurality of blocks according to the expense items contained in the budget template besides the item information blocks, and each block describes the specific amount of the expense item, the sub-item amount and the approximate calculation item in detail; by reading the configuration file, the man-machine interaction module can display the budget result obtained by the expert system in real time for the user to refer to, and can generate a Word detailed report of the budget result at this time by one key.
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