CN101083019A - Rapid evaluating system based on roomage state sensing - Google Patents
Rapid evaluating system based on roomage state sensing Download PDFInfo
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Abstract
The invention discloses a supporting system of auxiliary decision of computer based on rapid evaluation system of spatial situation, which is characterized by the following: integrating condition monitor, resource evaluation and analysis, conflict removal, urgency support and normal management of resource net evaluation; synthesizing some basic idea of system optimizing and knowledge and experience of resource evaluation and assembly according to some basic rules of resource distribution; constructing the knowledge base of the system; combining the distributing idea of resource evaluation and intelligent technique to form ratiocination mechanism of the system; analyzing the data information according to the conditional information of resource evaluation; modulating relative rule according to ratiocination mechanism; obtaining the final evaluation conclusion.
Description
Technical field
The invention belongs to aerospace measurement control field and expert system field.Relate to the intelligent expert system in space flight target range, and relate to space flight target range launch mission and under measure the system that the task performance of opertaing device is made assessment.
Background technology
The assessment of space mission is significant for space launch.By assessment, comprise the operation duty and the quality of each operation link such as vehicle and load and various task facilities and equipments in the accurately assurance task, thereby the reference of improvement and raising is provided for the execution of follow-up work.
The development of distributed simulation technology has made full use of a plurality of collaborative computer information processings, and for large-scale, the realization of complicated Simulation Application provides effective realization means.Distribution applications based on the distributed interactive simulation standard makes full use of existing various information processings and artificial resource, realizes the intercommunication of its various information, is effective way of realization of large artificial.
The development pole the earth of artificial intelligence technology has promoted the various information processing horizontal.As one of branch of artificial intelligence technology, expert system is put domain-specialist knowledge in order processing, is converted into knowledge rule and is stored in the knowledge base in the computing machine, and utilize the inference machine of simulating human inference mechanism to realize Intelligent treatment to information.Thereby reach mutual supplement with each other's advantages, give full play to man-machine characteristics separately, realize man-machine combination effectively.
Summary of the invention
The object of the invention just provides a kind of RES(rapid evaluation system) towards space flight measurement and control, better is the service of space travel test mission.Expert system and distributed interactive simulation means are effectively applied in the decision support system (DSS), the performance of real-time decision support system (DSS) will greatly be improved, improve the reliability of spacecraft flight test mission, improve collaborative work efficient, reduce misoperation, and then improve the quality of space travel test, shorten the test period, guarantee success of the test, further strengthen our international competitiveness.
Technical scheme
The technical scheme that solves goal of the invention is to realize like this, it is a kind of RES(rapid evaluation system) based on the roomage state perception, it is characterized in that comprising information acquisition system, decision system, executive system, wherein: described information acquisition system comprises assessment resource information acquisition system and assessment demand information acquisition system, information acquisition system is responsible for collecting the status information of the measuring and controlling equipment that the observing and controlling support can be provided at present, and the attribute and the relevant observing and controlling support parameter that need the aircraft of observing and controlling support; Described information acquisition system merges the data construct assessment resource database of the gathering line data of going forward side by side; Described decision system is by inference machine, call assessment demand database from information acquisition system, and merge after data, call information from the decision system knowledge base, send instruction to executive system; Described executive system comprises situation modeling and simulating platform and situation assessment control interface, wherein:
Assessment resource requirement database: be responsible for organization and administration from the resulting data of assessment demand acquisition system, and case of emergency is accused the emergent observing and controlling resource requirement data at center, for resource requirement analysis, off-line reasoning and analysis, decision-making, planning, control provide relevant raw data, and the scheme information corresponding of being in charge of and taking measures;
The assessment resource database: negative tribute organization and administration are from the resulting data of assessment resource information acquisition system, with the form of database the assessment resource situation is described, with the form storage of database between them annexation and attribute separately.
Described decision system comprises knowledge base and assessment inference machine, and system has adopted distributed blackboard model, carries out indirect communication and variable coupling by blackboard; Inference machine changes according to blackboard, activates, coupling knowledge base rule in good time, revises and the information in the new database more, promotes to separate step by step to construct; Knowledge base comprises emergency preplan database assessment strategy storehouse, rule base and model bank, and calling of its rule is dynamic and is real-time; Inference machine is finished the successful degree of confidence R success of the test of deriving, and calculating process is: the condition unit to current rule travels through, and checks whether mate, and certain condition unit is if mate, and then can put this condition unit and successfully drape over one's shoulders and join sign; When running into this condition unit once more,, promptly, the precondition unit then jumps to next condition unit when having mated then without repeated matching; In case certain condition unit does not match, then later condition unit is ignored, and proceeds the precondition coupling of doing washing regular; During coupling,, the variate-value in condition unit and the parameter list is mated at the relational operator of different preconditions; Have only when all preconditions of rule are all mated, just assert rule match successfully; If the match is successful, then check rule conclusion, this conclusion is added the odd-job district, when rule conclusion degree of confidence bob is " no algorithm ", then directly obtain the degree of confidence of rule conclusion; When algorithm is not " a no algorithm ", then according to (subordinate function) of respective algorithms, calculate the qualified degree of confidence of rule conclusion, and deposit this degree of confidence variable in blackboard, participate in knowledge coupling reasoning subsequently.Calculate and obtain the qualified degree of confidence of conclusion Face Changing, and add qualified degree of confidence variable to parameter list; When rule base pointer non-NULL, carry out single ergodic, if in the last traversal time rule the match is successful, then skip this rule, write down cycle index simultaneously.Begin traversal from rank Level=1; Each only the rule of same levels Level is traveled through,, finally infer the qualified degree of confidence R success of success along with determining of the qualified degree of confidence of each subsystem.
In the decision system
1), the prediction scheme storehouse is supported in emergent assessment: at special evaluate events (as rocket, equipment failure etc.), typical processing scheme is stored in the prediction scheme storehouse, to support emergent assessment;
2), assessment strategy storehouse: the strategy of the various conflicts of stores processor.Particularly these strategies are not suitable for adopting rule to represent;
3), rule base.Be the basis of system works, be used for describing appreciation information reasoning and manager and knowledge and expertise;
4) assessment models storehouse: the model of depositing assessment resource requirement, Rules of Assessment and assessment resource situation three aspects.These models can be divided into mathematical model and analogy model two big classes by its character.Mathematical model is methods such as utilization mathematical programming, and is clearer and more definite to the decision problem that faces, and influences the collision problem that factor is relatively determined, by the model that its character and rule are directly constructed, is mainly used in the decision-making of structuring and semi-structured problem;
5), inference machine: constitute by search tree, in assessment resource decision process, inference machine is selected suitable rule according to attribute, the attribute of resource and the attribute of demand of assessment for use by bidirectional research, the method of operation of employing " blackboard "+" reasoning in good time " finally proposes various processing schemes.
Described executive system is applied in whole assessment, control and the analytic process, judges that by its input demand, conditioned disjunction system is by the output of data processing, model calculation, knowledge reasoning and decision information; By assessment control interface software, the various attended operations of implementation model storehouse, knowledge base and database, and the manual intervention in the evaluation process; Described situation modeling and simulating platform and space flight test task are combined closely, provide visual interactive simulation real-time control interface, finish observing and controlling collectivity Scheme Design and checking, finish the emulation of complicated space mission flight course and the tracking situation three-dimensional visualization of land station, provide the simulation result of the space mission scheme under the various situations with means such as data, form, curve, three-dimensional animations.
Finish appreciation information acquisition system, assessment inference system and assessment executive system.
RES(rapid evaluation system) towards space flight measurement and control provided by the invention has the following advantages compared with prior art:
System has had preliminary intellectuality based on the RES(rapid evaluation system) of knowledge.
System brings into play under the prerequisite of decision maker's subjective experience and judgement fully in emphasis, when selecting the best decision scheme, has strengthened quick-reaction capability (QRC), has improved Decision Quality.
The conclusion form of expression of system evaluation executive system has two/three-dimensional vision, image, and data and form etc., and can form in real time, owe real-time feedback to the assessment inference system.
Description of drawings
Accompanying drawing 1 is the evaluating system structural representation;
Accompanying drawing 2 is the evaluating system flowchart
Embodiment
The present invention will be further described by the following examples.
1. appreciation information acquisition system,
With measuring and controlling equipment gather original measuring and control data carry out denoising, level and smooth and processing such as fusions grade obtains the feature description of task performance, for assessment provides the information support.Mainly comprise:
(1) acquisition subsystem of measuring and control data: comprise that all kinds of data acquisition equipments that are used for task enforcement comprise remote measurement and outer (radar and the optics) equipment of surveying.Can obtain the relevant flight path that is used for the needed task implementation process of this evaluating system and the original measuring and control data of relevant device by this subsystem, and relevant raw electrical signal sampled, processing such as filtering and analog to digital conversion, and it is had the electrical signal conversion numerical signal.
(2) transmission subsystem of measuring and control data: comprise being used for task implementation process related information transmission network.The data of obtaining that are distributed in the measuring and controlling equipment of different spatial can be transferred in the processing subsystem by this subsystem to be handled.This subsystem comprises
(3) processing subsystem of measuring and control data: comprise the software and hardware equipment that is used for data processing.The software section of this subsystem is mainly finished the measuring and control data of the rough handling of handling through acquisition subsystem is further handled, and comprises denoising, and is level and smooth and merge etc.Hardware components is made up of a plurality of high-speed high-performance messaging devices with associated treatment ability, is the platform of operating software part.
2. assessment inference system, mainly by inference machine, the emergency preplan storehouse, so the assessment strategy storehouse is composition such as storehouse and model bank then.
(1) inference machine can be according to certain knowledge rule from the existing true related conclusions of releasing.According to the characteristics that task is implemented, inference machine mainly is by forward, and reverse and forward and reverse mixed inference mechanism realizes reasoning.Mainly be by distributing the reasoning subtask to give agenda, select current will carrying out of task, call corresponding knowledge module, utilize the knowledge module to carry out reasoning, finding the solution the subtask according to the character of task.And with in the dynamic data base of the intermediate data storage in the reasoning task in inference machine.Dynamic data base is a dynamic refresh, and its operation is controlled by inference machine or rule.After drawing the reasoning conclusion, the explanation facility of inference machine can be finished the explanation to reasoning process.Inference machine is based on the computer realization of knowledge reasoning, and thinking and artificial intelligence technology in the time of will assessing resources allocation in the native system combine, the inference machine of construction system.The main task of inference machine is to select knowledge and working knowledge.Generally speaking, inference machine can only utilize the knowledge that search procedure or additive method are found out to be needed from the system of complexity, can inference machine accurately, promptly find and answer relevant knowledge, directly influence the performance of inference machine, this is a very time-consuming job, and not doing a good job to make inference machine realize.Therefore, the selection of research knowledge just becomes a key issue of inference machine.Can inference machine accurately, promptly find and answer relevant knowledge, directly influences the performance of inference machine.The performance index of inference machine are meant reasoning effect and Reasoning Efficiency, the former is an index weighing reasoning conclusion correctness, the latter can illustrate with the time that reasoning spent, but because the arithmetic speed of various computing machine has very big-difference, in order to make rational evaluation to inference method, should be the reasoning expense as an index weighing Reasoning Efficiency.In the DECISION KNOWLEDGE system, except the theory and method that will study reasoning, the more important thing is how research realizes reasoning on computers.
(2) rule base: rule base is mainly deposited the dependency rule of inference machine.The main employing has the production rule of confidence factor as inference rule in native system.Its rule is defined as follows:
IF prerequisite THEN conclusion＜CR 〉
CR is a confidence factor, and its span is for being [0,1], and wherein 0 is insincere, and 1 for credible fully.
(3) model bank: model bank is mainly deposited the mathematics computing model of each generic task assessment.Mainly comprise the foundation of model, revise, management such as interpolation and deletion; The operation control of model, functions such as model interface control.
(4) emergency preplan storehouse: the emergency preplan of each generic task is mainly deposited in the emergency preplan storehouse.Mainly comprise the foundation of prediction scheme, revise, management such as interpolation and deletion.Wherein,, provide emergency measure, comprise the deployment of equipment, personnel's the tissue and the use of related resource etc. at all kinds of states of affairs that set in advance
(5) assessment strategy storehouse: assessment strategy mainly is meant according to dissimilar tasks adopt what evaluation criteria, evaluation system and assessment order etc.The assessment strategy storehouse mainly comprises to be set up assessment strategy, revises, add and management such as deletion and with the interface in the external world.In decision support system (DSS), design of Knowledge Base and construction are key jobs, and it not only has knowledge reasoning ability qualitatively, and has the quantitative calculation function, is two kinds of functions are organically combined, and is more powerful than the function of general expert system.Related knowledge is extensive, and existing knowledge base specific knowledge has modeling knowledge and method for solving technology again, knowledge base can be defined as " set of knowledge " through taxonomic organization.Native system considers to assess the knowledge and experience in the resources allocation, some cardinal rules of resources allocation, and some basic thoughts of system optimization etc. integrate, and are configured to the knowledge base of system.
3. assessment executive system mainly is divided into two parts of aerospacecraft simulation subsystem and emulation director estrade system, and aerospacecraft subsystem aerospacecraft simulation subsystem mainly comprises system emulation software and hardware treatment facility.Wherein software comprises the flight modeling, flight simulation and distributed emulation software.Mainly finish the design of simulating scenes, the performance of flight environment of vehicle, the foundation of three-dimensional model and conversion and based on the functions such as flight simulation of data-driven; Hardware components mainly comprises the high speed information treatment facility and the distributed emulation application hardware environment that can be used for information processing.
Referring to as shown in Figure 2, based on the RES(rapid evaluation system) of roomage state perception, its processing procedure is as follows:
(1) obtains the assessment resource state information by assessment resource information acquisition system, obtain to participate in the resource information of evaluation tasks;
(2) obtain the assessment resource situation that current needs provide support by assessment resource requirement analytic system, obtain assessing resource requirement information;
(3) information creating assessment resource database and the assessment demand database that obtains according to information acquisition system, and according to the relevant data of database carry out modelling or model perfect;
(4) experimental knowledge that relevant assessment result generates in the utilization system, and various assessment result generation models, by Qualitative Knowledge reasoning and quantitative model numerical evaluation, and man-machine interaction mode, in conjunction with appraiser's subjective decision, produce assessment result;
(5) deposit assessment result generation scheme and the assessment result generative process that forms in knowledge base, perhaps knowledge base is enriched;
(6) according to assessment result, drive executive system, promptly provide auxiliary to evaluation decision and support by visual and man-machine interactive system.
Claims (4)
1, a kind of RES(rapid evaluation system) based on the roomage state perception, it is characterized in that comprising information acquisition system, decision system, executive system, wherein: described information acquisition system comprises assessment resource information acquisition system and assessment demand information acquisition system, information acquisition system is responsible for collecting the status information of the measuring and controlling equipment that the observing and controlling support can be provided at present, and the attribute and the relevant observing and controlling support parameter that need the aircraft of observing and controlling support; Described information acquisition system merges the data construct assessment resource database of the gathering line data of going forward side by side; Described decision system is by inference machine, call assessment demand database from information acquisition system, and merge after data, call information from the decision system knowledge base, send instruction to executive system; Described executive system comprises situation modeling and simulating platform and situation assessment control interface, wherein:
Assessment resource requirement database: be responsible for organization and administration from the resulting data of assessment demand acquisition system, and case of emergency is accused the emergent observing and controlling resource requirement data at center, for resource requirement analysis, off-line reasoning and analysis, decision-making, planning, control provide relevant raw data, and the scheme information corresponding of being in charge of and taking measures;
The assessment resource database: negative tribute organization and administration are from the resulting data of assessment resource information acquisition system, with the form of database the assessment resource situation is described, with the form storage of database between them annexation and attribute separately.
2, a kind of RES(rapid evaluation system) based on the roomage state perception according to claim 1 is characterized in that: described decision system comprises knowledge base and assessment inference machine, and system has adopted distributed blackboard model, carries out indirect communication and variable coupling by blackboard; Inference machine changes according to blackboard, activates, coupling knowledge base rule in good time, revises and the information in the new database more, promotes to separate step by step to construct; Knowledge base comprises emergency preplan database assessment strategy storehouse, rule base and model bank, and calling of its rule is dynamic and is real-time; Inference machine is finished the successful degree of confidence R success of the test of deriving, and calculating process is: the condition unit to current rule travels through, and checks whether mate, and certain condition unit is if mate, and then can put this condition unit and successfully drape over one's shoulders and join sign; When running into this condition unit once more,, promptly, the precondition unit then jumps to next condition unit when having mated then without repeated matching; In case certain condition unit does not match, then later condition unit is ignored, and proceeds the precondition coupling of doing washing regular; During coupling,, the variate-value in condition unit and the parameter list is mated at the relational operator of different preconditions; Have only when all preconditions of rule are all mated, just assert rule match successfully; If the match is successful, then check rule conclusion, this conclusion is added the odd-job district, when rule conclusion degree of confidence bob is " no algorithm ", then directly obtain the degree of confidence of rule conclusion; When algorithm is not " a no algorithm ", then according to (subordinate function) of respective algorithms, calculate the qualified degree of confidence of rule conclusion, and deposit this degree of confidence variable in blackboard, participate in knowledge coupling reasoning subsequently.Calculate and obtain the qualified degree of confidence of conclusion Face Changing, and add qualified degree of confidence variable to parameter list; When rule base pointer non-NULL, carry out single ergodic, if in the last traversal time rule the match is successful, then skip this rule, write down cycle index simultaneously; Begin traversal from rank Level=1; Each only the rule of same levels Level is traveled through,, finally infer the qualified degree of confidence R success of success along with determining of the qualified degree of confidence of each subsystem.
3 a kind of RES(rapid evaluation system)s based on the roomage state perception according to claim 2 is characterized in that: in the decision system
1), the prediction scheme storehouse is supported in emergent assessment: at special evaluate events (as rocket, equipment failure etc.), typical processing scheme is stored in the prediction scheme storehouse, to support emergent assessment;
2), assessment strategy storehouse: the strategy of the various conflicts of stores processor.Particularly these strategies are not suitable for adopting rule to represent;
3), rule base.Be the basis of system works, be used for describing appreciation information reasoning and manager and knowledge and expertise;
4) assessment models storehouse: the model of depositing assessment resource requirement, Rules of Assessment and assessment resource situation three aspects.These models can be divided into mathematical model and analogy model two big classes by its character.Mathematical model is methods such as utilization mathematical programming, and is clearer and more definite to the decision problem that faces, and influences the collision problem that factor is relatively determined, by the model that its character and rule are directly constructed, is mainly used in the decision-making of structuring and semi-structured problem;
5), inference machine: constitute by search tree, in assessment resource decision process, inference machine is selected suitable rule according to attribute, the attribute of resource and the attribute of demand of assessment for use by bidirectional research, the method of operation of employing " blackboard "+" reasoning in good time " finally proposes various processing schemes.
4, a kind of RES(rapid evaluation system) according to claim 1 based on the roomage state perception, its characteristic is, described executive system is applied in whole assessment, control and the analytic process, judge that by its input demand, conditioned disjunction system is by the output of data processing, model calculation, knowledge reasoning and decision information; By assessment control interface software, the various attended operations of implementation model storehouse, knowledge base and database, and the manual intervention in the evaluation process; Described situation modeling and simulating platform and space flight test task are combined closely, provide visual interactive simulation real-time control interface, finish observing and controlling collectivity Scheme Design and checking, finish the emulation of complicated space mission flight course and the tracking situation three-dimensional visualization of land station, provide the simulation result of the space mission scheme under the various situations with means such as data, form, curve, three-dimensional animations.
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| CN101681446A (en) * | 2007-03-01 | 2010-03-24 | 波音公司 | Human behavioral modeling and simulation framework |
| CN101887531A (en) * | 2010-06-13 | 2010-11-17 | 北京航空航天大学 | Flight data knowledge acquisition system and acquisition method thereof |
| CN101976375A (en) * | 2010-11-15 | 2011-02-16 | 南京大学 | Software middleware oriented intelligent decision supporting frame and working method thereof |
| CN102567800A (en) * | 2011-12-07 | 2012-07-11 | 国网电力科学研究院 | Decision-making modeling method for relay protection on-line condition based maintenance of power system |
| CN103150446A (en) * | 2013-03-21 | 2013-06-12 | 天津大学 | Verification and simulation realization method for near space aerocraft model |
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| CN107944691A (en) * | 2017-11-20 | 2018-04-20 | 中国运载火箭技术研究院 | A kind of roomage state assesses overall analysis system |
| CN109743255A (en) * | 2018-11-16 | 2019-05-10 | 中国西安卫星测控中心 | The design method of the space tracking telemetry and control center route system in knowledge based library |
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| CN101681446B (en) * | 2007-03-01 | 2016-04-06 | 波音公司 | Human behavioral modeling and simulation framework |
| CN101887531A (en) * | 2010-06-13 | 2010-11-17 | 北京航空航天大学 | Flight data knowledge acquisition system and acquisition method thereof |
| CN101887531B (en) * | 2010-06-13 | 2012-12-19 | 北京航空航天大学 | Flight data knowledge acquisition system and acquisition method thereof |
| CN101976375A (en) * | 2010-11-15 | 2011-02-16 | 南京大学 | Software middleware oriented intelligent decision supporting frame and working method thereof |
| CN102567800A (en) * | 2011-12-07 | 2012-07-11 | 国网电力科学研究院 | Decision-making modeling method for relay protection on-line condition based maintenance of power system |
| CN103150446A (en) * | 2013-03-21 | 2013-06-12 | 天津大学 | Verification and simulation realization method for near space aerocraft model |
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| CN106502266B (en) * | 2016-11-30 | 2023-12-19 | 中国航空工业集团公司沈阳飞机设计研究所 | Multi-machine collaborative operation command control system |
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| CN110210697A (en) * | 2018-11-21 | 2019-09-06 | 北京域天科技有限公司 | A kind of emergency communication intelligent emergent DSS |
| CN110288160A (en) * | 2019-06-27 | 2019-09-27 | 北京华如科技股份有限公司 | A kind of situation dynamic prediction method based on parallel simulation |
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| CN112419126A (en) * | 2020-12-07 | 2021-02-26 | 安徽四创电子股份有限公司 | Urban public safety video monitoring and evaluating system based on expert system |
| CN112671557A (en) * | 2020-12-07 | 2021-04-16 | 杭州东方通信软件技术有限公司 | Situation awareness based fault monitoring method and system |
| CN113627024A (en) * | 2021-08-13 | 2021-11-09 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
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