CN1243987A - Method for development environment of agricultural expert system - Google Patents
Method for development environment of agricultural expert system Download PDFInfo
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- CN1243987A CN1243987A CN99114227A CN99114227A CN1243987A CN 1243987 A CN1243987 A CN 1243987A CN 99114227 A CN99114227 A CN 99114227A CN 99114227 A CN99114227 A CN 99114227A CN 1243987 A CN1243987 A CN 1243987A
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Abstract
A method for the development environment of agricultural expert system is composed of compiler DET, excuting system, database acquisition system DAT, soil nutrients space information system SIIS and application system AES. All systems can perform own tasks individually. The information is transmitted by virtual data channel.
Description
The present invention relates to a kind of method that is used for development environment of agricultural expert system, particularly a kind of by the computer-controlled method that is used for development environment of agricultural expert system.
Agriculture specialist system is the part in artificial intelligence study field, be intelligent behavior with the computer simulation expert, find the solution some problems of agricultural production management according to agricultural experts' the knowledge and the inference mechanism of internal system, allow computer generation replace agricultural experts to carry out work.The early stage exploitation of agriculture specialist system is based on AI researchist, needs to spend the considerable time on stream between AI researchist and the agriculture field expert to exchange, and this process is called as " knowledge acquisition ".In a very long time, " knowledge acquisition " is considered to " bottleneck " problem in the ASE application development process, along with going deep into and expansion of ASE application, people wish that not only AI researchist develops practical ASE application system fast, wish that more AI researchist can provide a kind of and can cross over the industry boundary, allow the agriculture field expert oneself finish the exploitation of ASE application system and the method that the existing renewal of knowledge is expanded, thereby avoid the restriction of " bottleneck ".
In agriculture specialist system computer software research, how complete quite a few notice of people be to be placed on to represent agricultural knowledge with computerese, how to simulate agricultural experts' thinking and behavior disposal route effectively.In the research of agriculture specialist system, once showed with the comprehensive knowledge body surface of production rule group, framework+rule that method finished the application and development work of some agriculture specialist systems, solve the problem in many agriculture specialist systems, but between the extension speech of agricultural, always existed some gaps.Because the closure of each agriculture specialist system software self does not have information channel between many softwares, can not borrow other people strong point is a big agriculture specialist system service in addition.
In order to overcome the above problems, the objective of the invention is to use the technology such as principle, Geographic Information System, database of artificial intelligence, provide a kind of agricultural experts to develop the instrument of sending out of agriculture specialist system for the non-computer field, this developing instrument is to solve the software that has advantage in a certain respect with what different language was worked out, when not destroying these software configurations, give full play to their effect, specialized designs the external software interface, can make the source go out different software and in same environment, bring into play separately advantage.
Technical scheme of the present invention is: a kind of method that is used for development environment of agricultural expert system, this method by DET compile machine, carry out the machine system, the DAT database obtains system, SIIS soil nutrient space information system, AES application system are formed, it is characterized in that: knowledge base generates virtual machine code by compiling generation machine compiling back, and inference machine and virtual machine code are carried out engineering link, carry out the machine system and explain virtual machine code and carry out corresponding operation; Soil nutrient space information system, database obtain system and are responsible for obtaining the needed agricultural feelings document data base of expert system, and provide the spatiality inquiry system to provide basic data to the execution machine with API in the DET database and SIIS; These systems can finish the task of oneself independently of one another, transmit information by virtual data channel, and mutual restriction is auxiliary mutually, thereby finish agricultural experts' development environment work of AES application system;
Described compiling machine, execution machine system adopt open strategy, the interface of multiple external progress is provided, database being obtained the vertical and multimedia of system moves by the external dedicated service processes, system is undertaken by data channel with the exchanges data of external progress, data channel is the passage of DET system synchronization service processes swap data, it is the pipeline of two-way exchange data between two processes, and the compiling machine generates the virtual code of interface;
In described DET, not only treat as an agent relating to the knowledge reasoning object, also some specific functions such as data base manipulation, rule sets calculating, multimedia service etc. are all purchased part as the agent of an individual packages, they are relatively independent, have the interface that carries out exchanges data with the telegon communication, the interface workflow can be divided into three parts:
(1). set-up procedure, set up data channel, prepare necessary parameter;
(2). start external progress, system self selects asynchronous or runs simultaneously, and then hangs up self as waiting for that external progress is finished;
(3). sending message to system, is asynchronous suspended state as system, then arouses self, reads operation result or feedback by data channel.
Described database obtains system and adopts the technology programming that Delphi3 and OOP face resemble object, and system design is three parts: data are obtained, data gather, report printing.With Delphi DAO member application program and database are coupled together.Set up the virtual interface channel of data source and application program, to simplify the operation that database, chart or record are positioned.Thereby the agricultural feelings database of the required use of expert system is carried out full screen input and editor, and Customizing User Interface is that system can create new data automatically and obtain inputting interface, the types of databases of statistics township, county, province according to the change of data structure.
Described soil nutrient space information system, this program is made up of three parts: [1] .CLIET/SERVER is the mapinfo interactive system of core; [2] .SQL is the searching of core, video data storehouse; [3] .OLE-Autonation is the visual application interface of core; The OLE of system by VB5.0 embeds and generates the Mapinfo object, and adds it self not available function button to object, utilizes call back function MCALLBACK to carry out the message exchange of AM/BAM.Geographical figure and soil information hierarchical classification are shown and manage independently.Can extract relationship type and vector type database simultaneously, to soil nutrient attribute, space inquire about, analyze, modification etc.
Below in conjunction with accompanying drawing most preferred embodiment is elaborated.
Fig. 1 is intelligent agriculture software development environment general structure block scheme.Fig. 2 is distributed reasoning structure block scheme.Fig. 3 is compiling, execution machine workflow diagram.Fig. 4 is that code is carried out the machine block diagram.Fig. 5 is a soil nutrient space information system attribute data block scheme.Fig. 6 is that soil nutrient space information system software program figure Fig. 7 is that database obtains the represented process flow diagram that gets of system program.
Fig. 1 is intelligent agriculture software development environment general structure block scheme, and intelligent agriculture software development environment is obtained system and formed by compiling generation system, execution machine system platform, soil nutrient space information system, database.
Knowledge base generates virtual machine code efficiently by after the compiler compiling, and inference machine and virtual machine code are carried out engineering is connected, and finishes the design effort of expert system application program.Execution machine system explains virtual code and carries out corresponding operation; Soil nutrient space information system, database obtain system and are responsible for obtaining the needed agricultural feelings document data base of expert system, and this farming feelings document data base comprises popularization situation, soil height above sea level, weather rainfall, fertilizer situation, pesticide herbicide, mother-beef breed, water-land rice varieties, corn variety, wheat breed, flue-cured tobacco cultivars, banana kind, apple variety.
These systems can finish the task of oneself independently of one another, transmit information by virtual data channel, and mutual restriction is auxiliary mutually, finally finishes the exploitation and the practical application of agriculture specialist system application software.
The intelligent agriculture specialist system Software Development Platform of DET has designed the medelling knowledge representation method and based on the distributed inference engine system of medelling case, provides multiple functional language, inner mathematics to contain number, standard operation symbol.Formation integrates editor, compiling, carries out the Integrated Development Environment of debugging.The user can be according to certain representation of knowledge form direct compilation, modification, preservation knowledge base text and project file under this system, and has very strong mistake function.Designed the various software information channel, cross-platform function is provided, file can be worked in the interpreter in varying environment after compiling.The knowledge base standard form of paddy rice, corn, wheat, banana, flue-cured tobacco, six kinds of crops of apple and a kind of aquaculture is provided in the exploitation the integration environment at random.The user can call at any time, for your guidance.
Fig. 2 is distributed reasoning structure block scheme.The DET developing instrument adopts distributed inference mode..DET the thought of Multi-Agentd1 is adopted in internal structure, utilizes the method for dividing and rule, and a complication system is divided into a plurality of subtasks, submits to corresponding Agent and go to realize its subtask under the coordination of reasoning telegon.In actual applications, to the knowledge of complexity character, be broken down into several knowledge bases according to knowledge source, to each sub-knowledge base, different inference mechanisms can be arranged, solved each sub-knowledge, result with them carries out analysis-by-synthesis again, just can draw the answer of whole problem.This problem can resolve into two levels: the reasoning of (1) subproblem is found the solution.(2) to the scheduling of (1) and analysis-by-synthesis to (1) result.(2) are regarded as another level on (1), on macroscopic view, assign the task to the subproblem inference machine, carry out communication, therefore can regard it as the meta-reasoning machine with the subproblem inference machine.
As chief coordinator's device, then submit to corresponding Agent to solve the driving process of corresponding element inference machine or module for the solution of subproblem.Total system constitutes the distribution reasoning pattern according to chief coordinator's device and each a plurality of Agent collaborative works, and telegon is dispatched the workflow of a plurality of Agent reasonings, and itself also possesses control and turns to and computing power.
In DET, not only treat as an Agent, also some specific functions such as data base manipulation, rule sets calculating, multimedia service etc. are all purchased part as the Agent of an individual packages relating to the knowledge reasoning object.They are relatively independent, have the interface that carries out exchanges data with the telegon communication.
Fig. 3 is compiling, execution machine workflow diagram.This compiling system is the center with the grammatical analysis, carries out grammer, lexical analysis by it when calling syntactic analyser cutting word, and then generates the virtual machine sign indicating number.When finding grammer, semantic error, the call error routine analyzer.In compilation process,, set up the contact of logining and searching between the information according to the pointer variable construction data form of variable name, attribute and sensing data field.According to the corresponding built-in command sign indicating number that generates of keyword, set up virtual machine, the implementation of simulator program action.
The virtual machine system is core and the gordian technique that DET realizes multitask.In fact it be made up of a series of order codes, is used to carry out the concrete work of each subtask.Be in charge of storage allocation space, device drives and environmental variance by virtual machine manager.Compiling machine system is made up of Lexical Analysis Module, syntax Analysis Module, code generation module, fault processing module, form generation module, memory management module etc.
Fig. 4 is that code is carried out the machine block diagram.The course of work that code is carried out machine is with the virtual code execution that makes an explanation, and reaches a conclusion at last.The DET executive system adopts Open architecture, and it is made up of virtual machine interpre(ta)tive system, reasoning telegon, action execution machine.Get in touch by the database passage between the above two, the main work of reasoning telegon is the relation of coordinating between kernel and the virtual machine explanation.Its workflow is: PROBLEM DECOMPOSITION-Task Distribution-interpretation of result.At first carry out PROBLEM DECOMPOSITION, carry out Task Distribution then, submit to corresponding Agent to go to handle to the task of each subproblem, and carry out analysis-by-synthesis according to result.Will be to the result that do not obtain the expert consulting suggestion according to different situations, once more to problem related among this result decompose, Task Distribution, the such cyclic process of interpretation of result, till finally reaching the expert consulting suggestion.Total system has constituted the distribution reasoning pattern according to chief coordinator and each Agent collaborative work, and telegon not only can be dispatched the workflow of a plurality of Agent reasonings, itself also possesses control and turns to and computing power.
Fig. 5 is a soil nutrient space information system attribute data block scheme.Relate to the soil information that substantial connection is arranged with geographical space in agricultural production in large quantities, using a computer for the necessary nutrient situation description of crop growths such as nitrogen, phosphorus, potassium and obtaining generally is divided into three phases.Phase one is the digital form performance of DBF data file, and this form can only obtain local data, can't show whole distribution; Subordinate phase adopts the BMP form bitmap of several the various distributions of expression to superpose in computing machine, get rank value on each width of cloth figure by a position, it is painted that this method requires to contain the necessary classification of spirogram, error free stack, and can't know the specific geographic of this point, can not do special layer at the rank of a certain soil nutrient and extract, and whole distribution situation.Phase III is the introduction of GIS technology.
The GIS Geographic Information System is to handle with computer graphical image, and database technology is used to handle all resource environments relevant with the geographical space distribution etc. with spacial analytical method for the basis.This system utilizes the VB5.0 language as the front end developing instrument, and Mapinfo is as background server, and server executes and again execution result sent it back the foreground after the order and show.The user of service can be as required, advances in the various new or existing systems map object is integrated, thereby guarantee the opening and the versatility of geography information and map datum.The user can just set up the data in the attribute database before using the SIIS system.Existing database information and soil geography information are combined, so that better carry out analysis decision.
Fig. 6 is soil nutrient space information system software program figure.The program of this software is made up of three parts: the Mapinfo interactive system that with CLIENT/SERVER is core; With SQL is inquiry, the video data storehouse of core; With OLE-Autonation is the visual application interface of core.System embeds and generates the Mapinfo object by VB5.0, then this object is navigated on the MAPFOSM F window of native system and start Mapinfo, and add it self not available function button to object, utilize back culvert number MCALLBACK to carry out the message exchange of AM/BAM.
Fig. 7 is that database obtains the represented process flow diagram of system program.Overall system design is divided into three parts: data are obtained, data gather, report printing.Through to the analysis of above-mentioned functions realization mechanism and abstract, 11 generic modules have been divided.Passed through class succession and all kinds of between share out the work and help one another and finish the allomeric function requirement.
The database of use DBF form can be general on the present type of China, and shortcoming is that data directory managing queries mode speed is slow.For addressing this problem, use Delphi DAO member.Application program and database are coupled together, set up the virtual interface channel of data source and application program, simplify the operation that database, chart or record are positioned.
Major function is presented as: 1. the Agricultural resource database of pair required use of expert system (the popularization situation, Soil height above sea level, weather rainfall, fertilizer situation, pesticide herbicide, mother-beef breed, water-land rice product Kind, corn variety, wheat breed, flue-cured tobacco cultivars, banana kind, apple variety) to carry out full screen defeated Enter and edit. 2. Customize User Interface: system can be according to the change of structure and automatically creates new data Obtain inputting interface. 3. add up the types of databases of township, county province.
The invention has the beneficial effects as follows:
In the design of knowledge representation and reasoning mechanism with the medelling of generally using in China's agricultural production
The representation of knowledge in cultivation and the artificial intelligence, inference mechanism organically combine, and have set up pattern knowledge
The distributed inference engine system of method for expressing and Schema-based case.
2. for we have designed compiler and the instruction generation that can be independent of concrete machine in the processing of knowledge base
Code collection, tool software is had can be cross-platform, easy transplanting specific.
3. the method that connects of the mixed compiling by many knowledge bases has solved a plurality of expertise conflicts, superfluous Surplus problem.
4. adopt component technology, constructed system-level component GIS: DAO
Member; Set up the virtual link passage of data source and application program; The external module interface can make
The source goes out different functional software and bring into play separately advantage in same environment, guarantees the opening of system
Property and versatility.
5. utilize the thought of Multi-Agent, designed various software information channel and concurrent process.Can
Multiple formatted file is directly operated.Knowledge model produces under the influence of multichannel message
Optimum rationalization cultivation mode, and can remember this prioritization scheme, for utilizing again.
6. paddy rice, corn, wheat, banana, flue-cured tobacco, six kinds of crops of apple and a kind of aquaculture are provided
The knowledge base standard form.
7. utilize this method to develop paddy rice, corn, wheat, banana, flue-cured tobacco, apple six kinds of crops
The AES application system.
The method of development environment of agricultural expert system is by utilization Artificial Intelligence and Geographic Information System.Technology such as database have been constructed an integrated environment that is common to agriculture field.This development environment partly is made up of agriculture specialist system development platform DET, agricultural feelings document data base management tool DAT, soil nutrient space querying system SIIS, application system AES.Separate on the structure, organically combine on the function, can exchange information.
The agricultural experts of each Production Regional of China and technician are after having grasped developing instrument, can carry out the exploitation of agriculture specialist system application software in conjunction with the situation of this locality, and can be at any time according to the variation of working condition, make amendment to using software, replenish, perfect, thereby, make the peasant be easy to reception, easy operating with the popularization of agricultural production knowledge, the simplification of complexity.
Claims (4)
1. method that is used for development environment of agricultural expert system, this method by DET compile machine, carry out the machine system, the DAT database obtains system, SIIS soil nutrient space information system, AES application system are formed, it is characterized in that: knowledge base generates virtual machine code by compiling machine compiling back, and inference machine and virtual machine code are carried out engineering link, carry out the machine system and explain virtual machine code and carry out corresponding operation; Database obtains system, soil nutrient space information system, is responsible for obtaining the needed agricultural feelings document data base of expert system, and provides the spatiality inquiry system to provide basic data to the execution machine with API in the DET database and SIIS; These systems can finish the task of oneself independently of one another, transmit information by virtual data channel, and mutual restriction is auxiliary mutually, thereby finish agricultural experts' development environment work of AES application system.
2. the method that is used for development environment of agricultural expert system according to claim 1, it is characterized in that described compiling machine, carry out the open strategy of machine system employing, the interface of multiple external progress is provided, database being obtained the vertical and multimedia of system moves by the external dedicated service processes, system is undertaken by data channel with the exchanges data of external progress, data channel is the passage of DET system synchronization service processes swap data, and it is the pipeline of two-way exchange data between two processes;
In described DET, not only treat as an agent relating to the knowledge reasoning object, also some specific functions such as data base manipulation, rule sets calculating, multimedia service etc. are all purchased part as the agent of an individual packages, they are relatively independent, have the interface that carries out exchanges data with the telegon communication, the interface workflow can be divided into three parts:
(1). set-up procedure, set up data channel, prepare necessary parameter:
(2). start external progress, system self selects asynchronous or runs simultaneously, and then hangs up self as waiting for that external progress is finished:
(3). sending message to system, is asynchronous suspended state as system, then arouses self, reads operation result or feedback by data channel.
3. the method that is used for development environment of agricultural expert system according to claim 1, it is characterized in that described database obtains system and adopts Delphi3 and OOP face to resemble the technology programming of object, system design is three parts: data are obtained, data gather, report printing.With Delphi DAO member application program and database are coupled together.Set up the virtual interface channel of data source and application program, to simplify the operation that database, chart or record are positioned.Thereby the agricultural feelings database of the required use of expert system is carried out full screen input and editor, and Customizing User Interface is that system can create new data automatically and obtain inputting interface, the types of databases of statistics township, county, province according to the change of data structure.
4. the method that is used for development environment of agricultural expert system according to claim 1 is characterized in that described soil nutrient space information system, and this program is made up of three parts: [1] .CLIET/SERVER is the mapinfo interactive system of core; [2] .SQL is the searching of core, video data storehouse; [3] .OLE-Autonation is the visual application interface of core; The OLE of system by VB5.0 embeds and generates the Mapinfo object, and adds it self not available function button to object, utilizes call back function MCALLBACK to carry out the message exchange of AM/BAM.Geographical figure and soil information hierarchical classification are shown and manage independently.Can extract relationship type and vector type database simultaneously, to soil nutrient attribute, space inquire about, analyze, modification etc.
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| Application Number | Priority Date | Filing Date | Title |
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| CN99114227A CN1119765C (en) | 1999-05-24 | 1999-05-24 | Method for development environment of agricultural expert system |
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| CN99114227A CN1119765C (en) | 1999-05-24 | 1999-05-24 | Method for development environment of agricultural expert system |
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| CN1119765C CN1119765C (en) | 2003-08-27 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105021879A (en) * | 2014-04-28 | 2015-11-04 | Ls产电株式会社 | Apparatus for monitoring leakage current of transformer-less photovoltaic inverter |
| CN108681776A (en) * | 2012-03-14 | 2018-10-19 | 西格拉姆申德勒有限公司 | Innovate expert system IES and its PTR data structure PTR-DS |
| CN109872244A (en) * | 2019-01-29 | 2019-06-11 | 汕头大学 | A kind of task instructs type wisdom agricultural planting expert system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5121496A (en) * | 1988-07-25 | 1992-06-09 | Westinghouse Electric Corp. | Method for creating, maintaining and using an expert system by recursively modifying calibration file and merging with standard file |
| JP3136928B2 (en) * | 1994-11-08 | 2001-02-19 | カシオ計算機株式会社 | Data processing device |
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1999
- 1999-05-24 CN CN99114227A patent/CN1119765C/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108681776A (en) * | 2012-03-14 | 2018-10-19 | 西格拉姆申德勒有限公司 | Innovate expert system IES and its PTR data structure PTR-DS |
| CN108681776B (en) * | 2012-03-14 | 2022-03-25 | 西格拉姆申德勒有限公司 | Innovative expert system IES and PTR data structure PTR-DS thereof |
| CN105021879A (en) * | 2014-04-28 | 2015-11-04 | Ls产电株式会社 | Apparatus for monitoring leakage current of transformer-less photovoltaic inverter |
| CN109872244A (en) * | 2019-01-29 | 2019-06-11 | 汕头大学 | A kind of task instructs type wisdom agricultural planting expert system |
| CN109872244B (en) * | 2019-01-29 | 2023-03-10 | 汕头大学 | Task guidance type intelligent agriculture planting expert system |
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