CN102937798B - Man-machine integration type numerical control machine tool fault information acquiring method - Google Patents
Man-machine integration type numerical control machine tool fault information acquiring method Download PDFInfo
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Abstract
The invention discloses a man-machine integration type numerical control machine tool fault information acquiring method. According to the method, two modes of manual acquisition and automatic acquisition of numerical control machine tool fault phenomenon features are combined, and a fault diagnosis knowledge base that a numerical control machine tool structure serves as a core is constructed to support the fault phenomenon feature sensation, extraction, analysis and storage; when the numerical control machine tool has faults, the numerical control machine tool fault information can be acquired by using a method of man-machine interaction or machine-machine connection automatic extraction or a method that the two modes are combined together; and the mutual verification of the acquisition modes and the feedback verification of the acquired information are realized.
Description
Technical field
The present invention relates to automation of machinery manufacture field, belong to information acquisition and the process of fault diagnosis system; Be specifically related to a kind of fault of numerical control machine tool information collecting method of man-computer cooperation.
Background technology
Structure of numerically controlled machine-tool is complicated, expensive; and the changeable fault of multi-source and lathe interpromoting relation in five elements are together; " shutdown loss " that produce because of various fault seriously constrains effective utilization of numerically-controlled machine, causes a large amount of economic losses, even has influence on the personal safety of operating personnel.Therefore, how to adopt the effective monitoring of a kind of method realization to the different qualities fault that numerically-controlled machine different parts shows, can accurately and timely gather failure message when fault occurs significant.
The design concept of the numerically-controlled machine of dissimilar different model, manufacture process, operating mechanism have great similarity, therefore, utilize knowwhy and experimental knowledge to carry out fault information acquisition to numerically-controlled machine in accuracy, have obvious advantage.At present, to the existing research of numerically-controlled machine fault diagnosis knowledge base, as patent CN201210240271.5 discloses a kind of construction of knowledge base method of NC Machine oriented fault diagnosis and failure prediction, the method adopts rough set to decompose with tense rough wavelet bag the method combined, and solves the problem that data are imperfect or lack.But the failure message that the sensor that the method is applicable to realize wavelet denoise obtains, cannot meet the process of human-edited's failure message and the judgement of initial acquisition information accuracy, have certain limitation.
At present, the form of expression on the one hand due to fault of numerical control machine tool phenomenon is different, the a large amount of faults that there is obvious characteristic phenomenon for such as scuffing, abnormal sound, leakage etc. by artificial face perception often more quick and precisely, but the artificial experience which utilizes fail formed effectively shift to new management mechanisms, make it be difficult to form reusable experimental knowledge.Still resting on the monitoring of numerically-controlled machine on the other hand utilizes the mode of sensor some fault signature to privileged site to carry out information acquisition, numerical control machine tool monitoring system is constructed as patent US81515077A make use of sensor group, with with the supervisory system detecting the position of cutter and workpiece, patent CN201120222090.0 constructs a kind of machining states of grinding machine, comprise the digital control system of numerically control grinder, sonar sensor, acoustic emission detection system and PLC system, achieve the monitoring of grinding machine process.Above-mentioned patent all fails to consider the artificial vital role participated in fault information acquisition process, also fail to provide fault of numerical control machine tool information manually to gather the function with fault collection Information Authentication, failure message cannot be realized efficiently, gather accurately and there is the fault that a large amount of machine cannot monitor.
Summary of the invention
For the deficiency that prior art exists, the object of the invention is to solve fault of numerical control machine tool information to be difficult to efficiently and accurately collection, knowwhy and experimental knowledge and to be difficult to effectively use for reference and in traditional acquisition method, have ignored the artificial problem participated in, propose a kind of Knowledge based engineering fault of numerical control machine tool information man-computer cooperation acquisition method.
Solve the problems of the technologies described above, the present invention adopts following technical scheme: a kind of fault of numerical control machine tool information collecting method of man-computer cooperation, it is characterized in that, fault diagnosis knowledge base is built based on structure of numerically controlled machine-tool and fault signature knowledge and relation, when numerically-controlled machine breaks down, use that knowledge base realizes the artificial collection of phenomenon of the failure characteristic information, machine gathers automatically and manually, machine Collect jointly;
Take structure of numerically controlled machine-tool as core, adopt the fault knowledge method for expressing of " lathe position+fault signature ", and obtain knowledge, editor's fault knowledge inference rule by numerically-controlled machine correlation technique data, then utilize inference machine to realize integrality and the consistency check of knowledge base.
Further, comprise the steps:
Step 1: according to structure of numerically controlled machine-tool and fault signature, builds fault diagnosis knowledge base;
Step 2: by being arranged at digital control system, PLC control system or the Sensor monitoring on lathe, perception also judges numerically-controlled machine whether fault; By human perception, judge whether lathe occurs exception;
Step 3: when lathe breaks down, if arranged digital control system, PLC supervisory system and Sensor monitoring, has then automatically extracted and has pushed failure message to fault information acquisition system; If do not arrange monitoring and the phenomenon of the failure of manually energy perception, then by the mode typing failure message of human-edited; If there is monitoring and human perception simultaneously, then automatically extract and editor's failure message simultaneously;
Step 4: the failure message collected is carried out isomorphism process, be converted into the unified representation of knowledge form that knowledge base is expressed, then reasoning tool is utilized to carry out reasoning, in reasoning output procedure, utilize the assessment parameters such as fault frequency, Failure risk degree, failure proof difficulty, realize the arrangement adjustment that fault reasoning sequence knowledge exports;
Step 5: according to fault knowledge reasoning output sequence, sequentially through the further feature of the mode validation fault of artificial or sensing, by repeatedly carrying out the coupling of fault signature and inspection to determine fault;
Step 6: transfer the out of Memory determining fault, preserves this information to system database.
Wherein, described construction of knowledge base process is as follows:
1) the diagnosing faults of numerical control machine representation of knowledge: first, resolves numerically-controlled machine tool system, parts, assembly and design of part and relation; Then rely on machine tool structure to build fault signature knowledge and relation, form fault knowledge concept and conceptual relation in diagnosing faults of numerical control machine knowledge base;
2) diagnosing faults of numerical control machine knowledge acquisition: according to technical information such as numerically-controlled machine design, manufacture, installation, test, maintenance maintenances, extracts fault diagnosis knowledge and forms inference rule and be added in knowledge base described in step 1); Simultaneously according to numerically-controlled machine that is dissimilar or different model, add knowledge base example;
3) numerically-controlled machine knowledge store: by standardization, formal knowledge according to the rule of knowledge store stored in knowledge base;
4) numerically-controlled machine knowledge base maintenance: utilize knowledge base edit tool to carry out add, change, or delete to newly-increased knowledge, and utilize inference machine to test to the consistance of knowledge base after amendment and integrality.
Further, the failure message also comprising collection merges, and uses standard semantic to describe, and set up semantic base in knowledge base; When machine gathers fault-signal automatically, Lookup protocol transform mode, the fault-signal collected by machine is automatically converted into standard semantic and describes; During artificial collection, the fault signature knowledge that the statement of choice criteria semanteme gathers.
Further again, also comprise the feedback validation to Information Monitoring, fault knowledge incidence relation is built in knowledge base, when inferring failure cause by phenomenon of the failure, other phenomenon of the failure relevant to reason is acquired according to incidence relation simultaneously, then combines by automatic feedback, manual type or two kinds of modes the checking carrying out phenomenon of the failure feature.
Compared to existing technology, the present invention has following beneficial effect:
1, the phenomenon of the failure of the present invention according to numerically-controlled machine different qualities and the difference of perceptive mode thereof, the mode that have employed man-computer cooperation carries out fault information acquisition, not only take full advantage of and manually had specific aim advantage is gathered automatically to the perception advantage of obvious fault characteristic phenomenon and machine, achieve complementation and the checking mutually of acquisition mode, and according to the reasoning of knowledge base to local Information Monitoring, its Output rusults is that the selection gathering position and acquisition mode provides guidance.
2, the present invention adopts and supports fault information acquisition in the mode of knowledge base and knowledge reasoning, have employed the Unified Expression of fault of numerical control machine tool knowledge, the investigation that various technical information realizes fault can be effectively utilized, greatly reduce the time that failure message confirms, realize sharing and reusing of historical experience information, also for artificial experience is converted into diagnosis and repair Knowledge Creation condition, the refinement of artificial experience knowledge and sharing of knowledge is convenient to.
3, the present invention adopts the fault knowledge reasoning in knowledge based storehouse and carries out information feed back checking based on the mode of man-computer cooperation, achieve the quick position of fault of numerical control machine tool and accuracy, the integrity verification of fault information acquisition, avoid because of sensor fault or monitoring be not set and make the problem that failure message cannot gather, while Obtaining Accurate failure message, also demonstrate the practicality of acquisition mode.
Accompanying drawing explanation
Fig. 1 is knowledge base structure block diagram of the present invention;
Fig. 2 is structure of numerically controlled machine-tool of the present invention and fault knowledge concept and graph of a relation;
Fig. 3 is fault knowledge Attributed Relational Graps of the present invention;
Fig. 4 is the fault of numerical control machine tool information collecting method theory diagram of a kind of man-computer cooperation of the present invention;
Fig. 5 is example studies object hobbing machine YS3120CNC6 of the present invention;
Fig. 6 is numerically-controlled machine YS3120CNC6 knowledge base Ontological concept graph of a relation of the present invention;
Fig. 7 a is knowledge base prot é g é hobbing machine knowledge concepts structure realization figure of the present invention;
Fig. 7 b is knowledge base prot é g é hobbing machine knowledge concepts relational implementation figure of the present invention;
Fig. 8 is the collecting flowchart figure of the fault of numerical control machine tool information collecting method of a kind of man-computer cooperation of the present invention;
Fig. 9 is the phenomenon of the failure feedback screening of the fault of numerical control machine tool information collecting method of a kind of man-computer cooperation of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
The fault of numerical control machine tool information collecting method of man-computer cooperation of the present invention is the knowledge base by building based on structure of numerically controlled machine-tool and fault signature knowledge and relation, for supporting the artificial collection of phenomenon of the failure characteristic information, machine automatically gather and manually, machine Collect jointly.Wherein, the building mode of described knowledge base take structure of numerically controlled machine-tool as core, adopt the fault knowledge method for expressing based on body, and obtain knowledge, editor's fault knowledge inference rule by numerically-controlled machine correlation technique data, then utilize inference machine to realize integrality and the consistency check of knowledge base; Construction of knowledge base process is as follows:
1) the diagnosing faults of numerical control machine representation of knowledge: first, resolves numerically-controlled machine tool system, parts, assembly and design of part and relation; Then rely on machine tool structure to build fault signature knowledge and relation, form fault knowledge concept and conceptual relation in diagnosing faults of numerical control machine knowledge base;
2) diagnosing faults of numerical control machine knowledge acquisition: according to technical information such as numerically-controlled machine design, manufacture, installation, test, maintenance maintenances, extracts fault diagnosis knowledge and forms inference rule and be added into 1) in described knowledge base; Simultaneously according to numerically-controlled machine that is dissimilar or different model, add knowledge base example;
3) numerically-controlled machine knowledge store: by standardization, formal knowledge according to the rule of knowledge store stored in knowledge base;
4) numerically-controlled machine knowledge base maintenance: utilize knowledge base edit tool to carry out add, change, or delete to newly-increased knowledge, and utilize inference machine to test to the consistance of knowledge base after amendment and integrality.
Below in conjunction with embodiment to construction of knowledge base and fault information acquisition, be described further:
1. construction of knowledge base;
Described construction of knowledge base mode take structure of numerically controlled machine-tool as core, the fault knowledge based on body is adopted to represent, and obtaining knowledge by numerically-controlled machine correlation technique data, editor's fault knowledge inference rule, then utilizes inference machine to realize integrality and the consistency check of knowledge base.As shown in Figure 1, construction of knowledge base process is as described below:
1) the diagnosing faults of numerical control machine representation of knowledge is:
Wherein
represent machine tool structure,
expression fault signature knowledge (as
phenomenon of the failure,
phenomenon of the failure,
),
expression incidence relation (as
structural relation,
fault knowledge relation),
represent example,
represent inference rule.
First numerically-controlled machine tool system, parts, assembly and design of part and relation is resolved; Then rely on machine tool structure to build fault signature knowledge and relation, with the expression-form of " subject term+predicate ", form fault knowledge concept and conceptual relation in diagnosing faults of numerical control machine knowledge base, as shown in Figure 2.
2) diagnosing faults of numerical control machine knowledge acquisition.According to technical information such as numerically-controlled machine design, manufacture, installation, test, maintenance maintenances, adopt the expression-form of " actional verb+predicate ", extract fault diagnosis knowledge inference rule and be added into 1) in described knowledge base, as shown in Figure 3; Simultaneously according to numerically-controlled machine that is dissimilar or different model, add knowledge base example.
3) numerically-controlled machine knowledge store.By standardization, formal knowledge according to the rule of knowledge store stored in knowledge base.
4) numerically-controlled machine knowledge base maintenance.Utilize knowledge base edit tool to carry out add, change, or delete to newly-increased knowledge, and utilize inference machine to test to the consistance of knowledge base after amendment and integrality.
2. fault information acquisition;
The fault of numerical control machine tool information collecting method of described man-computer cooperation comprises the source of trouble, manually gathers, automatically gathers knowledge base, knowledge reasoning, Information Monitoring checking, result output and information storage, as shown in Figure 4.
When numerically-controlled machine breaks down, manually collection, machine gather automatically or two kinds of modes combine obtains phenomenon of the failure information; Then the failure message gathered is merged, in knowledge base, use standard semantic to describe, and set up semantic base.When machine gathers fault-signal automatically, Lookup protocol transform mode, the fault-signal collected by machine is automatically converted into standard semantic and describes; During artificial collection, the fault signature knowledge that the statement of choice criteria semanteme gathers, and realize knowledge reasoning according to knowledge base, obtain possible breakdown reason; Then the feedback validation of Information Monitoring is carried out, fault knowledge incidence relation is built in knowledge base, when inferring failure cause by phenomenon of the failure, other phenomenon of the failure relevant to reason is acquired according to incidence relation simultaneously, then by automatic feedback, manual type or two kinds of modes combine carry out phenomenon of the failure feature be verified Information Authentication, realize the screening of fault reason information; Finally, export Information Monitoring after determining fault and preserve.
Below with Chongqing lathe company produce chain digital control gear hobbing machine YS3120CNC6 for objective for implementation, the inventive method is described in further detail, see Fig. 5.
In order to realize fault of numerical control machine tool efficient information, accurate acquisition, the present invention adopts the mode of knowledge base and knowledge reasoning to express failure message, phenomenon of the failure is divided into machine perceptual phenomena and human perception phenomenon, according to different fault signatures, gathered by the mode of man-computer cooperation and confirm fault of numerical control machine tool.The present invention mainly comprises foundation, the fault information acquisition of diagnosing faults of numerical control machine knowledge base and verifies two parts, is specifically described as follows:
1) foundation of fault diagnosis knowledge base, its structure is as shown in Figure 1;
Embodiment of the present invention knowledge base is set up with structure of numerically controlled machine-tool knowledge as core, build phenomenon of the failure feature knowledge and failure cause feature knowledge, and build fault knowledge concept and conceptual relation with the form of " machine tool structure+fault signature ", express fault level, maintenance personal, maintenance mode knowledge, its relational model as shown in Figure 6 simultaneously.
Embodiment of the present invention knowledge base realizes by prot é g é 3.4.4 tool software, by hobbing machine fault knowledge (comprising structuring, semi-structured, unstructured knowledge) formalization Unified Expression, build fault domain body model, and form the knowledge base of the OWL DL language description meeting RDF/RDFS specification; Utilize Open Source Code FACT++ inference machine to realize Analysis of Knowledge Bases Reasoning to deduce, as shown in Figure 7.
2) fault information acquisition and checking;
The iTouch-150-TA panel computer that embodiment of the present invention hardware system adopts Chongqing Hitec ASA to produce integrated (MIPS structure, band serial ports, touch-screen, numeric keypad), (SuSE) Linux OS; Developing instrument adopts QT4, Sqlite3 database.
As shown in Figure 8, concrete steps are as follows for embodiment fault information acquisition and checking flow process:
Step one: by being arranged at digital control system, PLC control system or the Sensor monitoring on lathe, perception also judges hobbing machine whether fault; By human perception, judge whether lathe occurs exception;
Step 2: when lathe breaks down, if arranged digital control system, PLC supervisory system and Sensor monitoring, has then automatically extracted and has pushed failure message to fault information acquisition system; If do not arrange monitoring and the phenomenon of the failure of manually energy perception, then by the mode typing failure message of human-edited; If there is monitoring and human perception simultaneously, then can automatically extract and edit failure message simultaneously;
Step 3: the failure message collected is carried out isomorphism process, be converted into the unified representation of knowledge form that knowledge base is expressed, then FACT++ instrument is utilized to carry out reasoning, in reasoning output procedure, utilize the assessment parameters such as fault frequency, Failure risk degree, failure proof difficulty, realize the arrangement adjustment that fault reasoning sequence knowledge exports;
Step 4: according to fault knowledge reasoning output sequence, sequentially through the further feature of the mode validation fault of artificial or sensing, by repeatedly carrying out the coupling of fault signature and inspection to determine fault, when Figure 9 shows that feedback validation after reasoning, the screening process of phenomenon of the failure;
Step 5: transfer the out of Memory determining fault, preserves this information to system database.
What finally illustrate is, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from aim and the scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (2)
1. the fault of numerical control machine tool information collecting method of a man-computer cooperation, it is characterized in that, fault diagnosis knowledge base is built based on structure of numerically controlled machine-tool and fault signature knowledge and relation, when numerically-controlled machine breaks down, use that knowledge base realizes the artificial collection of phenomenon of the failure characteristic information, machine gathers automatically and manually, machine Collect jointly; Take structure of numerically controlled machine-tool as core, adopt the fault knowledge method for expressing of " lathe position+fault signature ", and obtain knowledge, editor's fault knowledge inference rule by numerically-controlled machine correlation technique data, then utilize inference machine to realize integrality and the consistency check of knowledge base;
Concrete steps comprise:
Step 1: according to structure of numerically controlled machine-tool and fault signature, builds fault diagnosis knowledge base;
Step 2: by being arranged at digital control system, PLC control system or the Sensor monitoring on lathe, perception also judges numerically-controlled machine whether fault; By human perception, judge whether lathe occurs exception;
Step 3: when lathe breaks down, if arranged digital control system, PLC supervisory system and Sensor monitoring, has then automatically extracted and has pushed failure message to fault information acquisition system; If do not arrange monitoring and the phenomenon of the failure of manually energy perception, then by the mode typing failure message of human-edited; If there is monitoring and human perception simultaneously, then automatically extract and editor's failure message simultaneously;
Step 4: the failure message collected is carried out isomorphism process, be converted into the unified representation of knowledge form that knowledge base is expressed, then reasoning tool is utilized to carry out reasoning, in reasoning output procedure, utilize fault frequency, Failure risk degree, failure proof difficulty assessment parameter, realize the arrangement adjustment that fault reasoning sequence knowledge exports;
Step 5: according to fault knowledge reasoning output sequence, sequentially through the further feature of the mode validation fault of artificial or sensing, by repeatedly carrying out the coupling of fault signature and inspection to determine fault;
Step 6: transfer the out of Memory determining fault, preserves this information to system database;
Described construction of knowledge base process is as follows:
1) the diagnosing faults of numerical control machine representation of knowledge: first, resolves numerically-controlled machine tool system, parts, assembly and design of part and relation; Then rely on machine tool structure to build fault signature knowledge and relation, form fault knowledge concept and conceptual relation in diagnosing faults of numerical control machine knowledge base;
2) diagnosing faults of numerical control machine knowledge acquisition: according to numerically-controlled machine design, manufacture, install, test, maintenance maintenance technical information, extract fault diagnosis knowledge and form inference rule and be added in knowledge base described in step 1); Simultaneously according to numerically-controlled machine that is dissimilar or different model, add knowledge base example;
3) numerically-controlled machine knowledge store: by standardization, formal knowledge according to the rule of knowledge store stored in knowledge base;
4) numerically-controlled machine knowledge base maintenance: utilize knowledge base edit tool to carry out add, change, or delete to newly-increased knowledge, and utilize inference machine to test to the consistance of knowledge base after amendment and integrality;
The failure message also comprising collection merges, and uses standard semantic to describe, and set up semantic base in knowledge base; When machine gathers fault-signal automatically, Lookup protocol transform mode, the fault-signal collected by machine is automatically converted into standard semantic and describes; During artificial collection, the fault signature knowledge that the statement of choice criteria semanteme gathers.
2. the fault of numerical control machine tool information collecting method of a kind of man-computer cooperation according to claim 1, it is characterized in that, also comprise the feedback validation to Information Monitoring, fault knowledge incidence relation is built in knowledge base, when inferring failure cause by phenomenon of the failure, other phenomenon of the failure relevant to reason is acquired according to incidence relation simultaneously, then combines by automatic feedback, manual type or two kinds of modes the checking carrying out phenomenon of the failure feature.
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| DE102015226188A1 (en) * | 2015-12-21 | 2017-06-22 | Robert Bosch Gmbh | Method for securing a use of at least one hand tool |
| JP6333868B2 (en) | 2016-01-21 | 2018-05-30 | ファナック株式会社 | Cell control device and production system for managing the operating status of a plurality of manufacturing machines in a manufacturing cell |
| CN106326472B (en) * | 2016-08-31 | 2017-06-16 | 广东京奥信息科技有限公司 | One kind investigation information integrity verification method |
| CN107169104A (en) * | 2017-05-17 | 2017-09-15 | 北京品智能量科技有限公司 | Vehicle trouble answering method and device |
| EP3683640B1 (en) * | 2017-09-30 | 2023-03-15 | Siemens Aktiengesellschaft | Fault diagnosis method and apparatus for numerical control machine tool |
| WO2019061499A1 (en) * | 2017-09-30 | 2019-04-04 | 西门子公司 | Method and apparatus for generating fault diagnosis information base of numerical control machine tool |
| CN108509483A (en) * | 2018-01-31 | 2018-09-07 | 北京化工大学 | The mechanical fault diagnosis construction of knowledge base method of knowledge based collection of illustrative plates |
| CN111026046A (en) * | 2019-11-06 | 2020-04-17 | 重庆邮电大学 | Production line equipment fault diagnosis system and method based on semantics |
| CN112036481B (en) * | 2020-08-31 | 2024-04-05 | 国家电网有限公司 | Reverse verification method for improving fusion effect |
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