CN105160081B - A kind of method for diagnosing faults based on three-dimensional cognitive environment - Google Patents
A kind of method for diagnosing faults based on three-dimensional cognitive environment Download PDFInfo
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- CN105160081B CN105160081B CN201510498189.6A CN201510498189A CN105160081B CN 105160081 B CN105160081 B CN 105160081B CN 201510498189 A CN201510498189 A CN 201510498189A CN 105160081 B CN105160081 B CN 105160081B
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Abstract
The present invention discloses a kind of method for diagnosing faults based on three-dimensional cognitive environment, and one：Build the three dimensional virtual models of process system；Two：Three dimensional virtual models are subjected to hierarchical links, the level of part, component, device, subsystem and system is formed, establishes three-dimensional cognitive environment；Three：Distinguish link model attribute library for each part of three dimensional virtual models, component, device, subsystem and system；Model attributes library includes that abnormality confirms relationship, upper lower threshold value and fault signature；Four：Fault diagnosis is carried out based on three-dimensional cognitive environment；Five：The three-dimensional enhancing cognition for carrying out fault diagnosis result, completes the fault diagnosis based on three-dimensional cognitive environment.Three-dimensional cognitive environment provided by the invention can provide the user with more intuitive, flexible fault diagnosis mode.
Description
Technical field
The present invention relates to the fault diagnosis technologies of complication system to lead city, and in particular to one kind being based on three-dimensional cognitive environment
Method for diagnosing faults.
Background technology
Method for diagnosing faults includes mainly qualitative fault diagnosis and quantitative fault diagnosis two major classes.Qualitative method for diagnosing faults
Including expert system method, qualitative reasoning method, Graph-theoretical Approach etc..Quantitative method for diagnosing faults includes signal processing method, number
Learn model method, neural network method and mode identification method etc..These methods need to build perfect fault model or pass through
Mass data trains recognition mode, is not easy to intuitively reflect abnormality phenomenon and logical relation, and fault diagnosis system constructs ratio
It is more complex.
With the development of three-dimensional virtual reality technology, virtual reality technology is gradually combined with fault diagnosis technology.But two
The existing combination of person is concentrated mainly on transmits data or scene by modes such as networks, and virtual reality technology is only as display
The three-dimensional feature of representation system is carried out to auxiliary maintaining, not by the process of fault diagnosis and result and virtual reality technology in interface
Deeply combine.
Invention content
In view of this, the object of the present invention is to provide a kind of method for diagnosing faults based on three-dimensional cognitive environment, this
The three-dimensional cognitive environment that invention provides can provide the user with more intuitive, flexible fault diagnosis mode.
Realize that technical scheme is as follows：
A kind of method for diagnosing faults based on three-dimensional cognitive environment, the specific steps are：
Step 1: the three dimensional virtual models of structure process system；
Step 2: three dimensional virtual models are carried out hierarchical links, the layer of part, component, device, subsystem and system is formed
Grade, establishes three-dimensional cognitive environment；
Step 3：Distinguish link model for each part of three dimensional virtual models, component, device, subsystem and system
Attribute library；Model attributes library includes that abnormality confirms relationship, upper lower threshold value and fault signature；
Step 4：Fault diagnosis is carried out based on three-dimensional cognitive environment；
Detailed process is as follows：
Step 41：By the testing number corresponding to each part, component, device, subsystem and system in three dimensional virtual models
According to input three-dimensional cognitive environment；
Step 42：It will be in the model attributes library of the detection data and each part, component, device, subsystem and system
Upper lower threshold value compared, if without departing from upper lower threshold value, continue to detect；If exceeding upper lower threshold value, which is
The exception status flag of the abnormality detection data is further arranged in abnormality detection data；
Step 43：Each part, component, device, subsystem in interrogation model attribute library corresponding to abnormality detection data with
And the abnormality of system confirms relationship, such as there is abnormality and confirms relationship, then is stored in exception status flag simultaneously different
Part, component, device, subsystem and system corresponding to normal detection data and the zero of relationship is confirmed with abnormality with it
Part, component, device, subsystem and system model attributes library in；Abnormality is such as not present and confirms relationship, then by abnormal shape
State mark is only stored in the model attributes library of the corresponding each part of abnormality detection data, component, device, subsystem and system
In；
In step 44, traversal same time point upper each part, component, device, subsystem and system model attribute library
Exception status flag, pre-stored fault signature in comparison model attribute library, such as meets certain fault signature, then output is corresponding
Fault diagnosis result realizes fault diagnosis；
Step 5：The three-dimensional enhancing cognition for carrying out fault diagnosis result, is completed based on three-dimensional cognitive environment
Fault diagnosis.
Further, model attributes library further includes essential information and hierarchical information；Essential information includes that process system is specific
Object oriented, information of dispatching from the factory and safeguard information；Hierarchical information includes membership and connection relation.
Advantageous effect：
1, three-dimensional cognitive environment of the invention uses the three dimensional virtual models of virtual reality technology structure system, can
To realize the intuitive display of the three-dimensional of fault diagnosis system, the cognitive efficiency for failure is improved；
2, present invention employs Info Link methods, by the essential information, hierarchical information and failure diagnosis information etc. of model
Model attributes are organically integrated in three dimensional virtual models, are enhanced the information content of three-dimensional cognitive environment, are made three-dimensional
Cognitive environment covers more comprehensive information, convenient for carrying out management and information extraction automatically to system；
3, three dimensional virtual models of the invention carry out the process of fault diagnosis, it is contemplated that model itself abnormality and model
Mutual influence relationship, can distinguish Single Point of Faliure and the system failure, have the characteristics that it is general, expansible, convenient for large size
The realization of Fault Diagnosis of Complex System；
4, while abnormality of the invention triggering fault diagnosis, the dynamic abnormal feature of threedimensional model is also triggered, it can
To show that position, evolution and coverage occur for failure, the recognition efficiency of fault diagnosis is improved.
Description of the drawings
Fig. 1 is three-dimensional cognitive environment composition schematic diagram.
Fig. 2 is the failure diagnostic process based on three-dimensional cognitive environment.
Specific implementation mode
The present invention will now be described in detail with reference to the accompanying drawings and examples.
The present invention provides a kind of method for diagnosing faults based on three-dimensional cognitive environment, detailed process is as follows：
Step 1: building the three dimensional virtual models of process system using virtual reality technology；
In 3-D graphic Software for producing, such as 3DS MAX, Maya, Pro/Engineer, it is three-dimensional empty to create process system
Analog model, the three dimensional virtual models include multiple systems, and each system includes multiple subsystems, and each subsystem includes multiple dresses
It sets, each device includes multiple components, and each component includes multiple parts.The three dimensional virtual models created and the figure provided
Paper is consistent, and appearance is consistent with finding in kind, and each part, component, device, subsystem and system are closed according to space in kind
System carry out assembly connection so that three dimensional virtual models meet equipment material object relative position, in three dimensional virtual models each part,
Component, device, subsystem and system title be defined, form the full edition inventory of title.
Step 2：Three dimensional virtual models are subjected to layering connection, form the layer of part, component, device, subsystem and system
Grade, and establish three-dimensional cognitive environment；
Using VC++ as programming language, figure application programming interface API (Application Programming are called
Interface), such as OpenGL and Direct3D, to load created three dimensional virtual models, by three dimensional virtual models hierarchical
It is linked, forms the levels such as part, component, device, subsystem and system；It is substantially first using the various figures supported in API
Element and graphic feature effect (such as shading value, texture mapping, Z bufferings, antialiasing, illumination model, visibility cutting and blanking)
Three dimensional virtual models are made to realize：
1, process system scene effect illustrates, such as view angle switch, scaling rotation all around adjust, automatic roaming is a variety of
Three-dimensional scenic mapping function；
2, the standard shows of three dimensional virtual models, highlight (highlighted or flicker), desalination, the functions such as hide；
3, the Three-Dimensional Dynamic characterization of three dimensional virtual models, as mechanical movement, instrument registration are shown, gas flows, liquid flow
Phenomena such as dynamic, particle spraying.
In this way, being formed the three-dimensional cognitive environment based on virtual reality technology as unified platform, such as Fig. 1 institutes
Show.
Step 3：Distinguish link model for each part of three dimensional virtual models, component, device, subsystem and system
Attribute library；
It is integrated in each part, component, device, subsystem and the system of the three dimensional virtual models of three-dimensional cognitive environment
In VC++ by way of structured data pointer link model attribute library, the content in model attributes library include essential information,
Hierarchical information and failure diagnosis information；Essential information includes the specific object oriented of process system, information of dispatching from the factory, safeguards information etc.；
Hierarchical information includes membership and connection relation etc., determines the level on-link mode (OLM) of the model；Failure diagnosis information includes
Data flow relation, abnormality confirm relationship, data probable value, upper lower threshold value, fault signature, failure influence etc.；Model attributes library
In content stored using structural database mode.The data flow contextual definition relationship of data call and storage.
Step 4：Fault diagnosis based on three-dimensional cognitive environment
As shown in Fig. 2, the detailed process that process system carries out fault diagnosis based on three-dimensional cognitive environment is as follows：In figure
Dotted line indicate data transmission, solid line indicate system motion flow；
Step 41：By the testing number corresponding to each part, component, device, subsystem and system in three dimensional virtual models
According to input three-dimensional cognitive environment；
Step 42：Upper lower threshold value in the failure diagnosis information of calling model attribute library, by the detection data and each zero
Part, component, device, subsystem and system model attributes library in upper lower threshold value compared, if without departing from upper lower threshold value,
It then returns and continues to detect；If exceeding upper lower threshold value, which is abnormality detection data, and the abnormality detection is further arranged
The exception status flag of data；Exception status flag include it is abnormal occur position, anomaly pattern etc., anomaly pattern include fluctuation,
Mutation, drift, fluctuation, mutation, drift are all to the further analysis result of detection data beyond upper lower threshold value；
Step 43：Each part, component, device, subsystem in interrogation model attribute library corresponding to abnormality detection data with
And the abnormality of system confirms relationship, such as there is abnormality and confirms relationship, then is stored in exception status flag simultaneously different
Part, component, device, subsystem and system corresponding to normal detection data and the zero of relationship is confirmed with abnormality with it
Part, component, device, subsystem and system model attributes library in；Abnormality is such as not present and confirms relationship, then by abnormal shape
State mark is only stored in the model attributes library of the corresponding each part of abnormality detection data, component, device, subsystem and system
In；
In step 44, traversal same time point upper each part, component, device, subsystem and system model attribute library
Exception status flag, pre-stored fault signature in comparison model attribute library, such as meets certain fault signature, then output is corresponding
Fault diagnosis result, i.e. fault mode, reason, positioning, influence, control measure etc. realize fault diagnosis.
Step 5：Carry out the three-dimensional enhancing cognition of fault diagnosis result.
When in the model attributes library of certain part in process system three dimensional virtual models, component, device, subsystem and system
When there is exception status flag, failure corresponding with the exception status flag is influenced output by model attributes library, is controlled three-dimensional empty
There is the part of exception status flag, the dynamic characterization of component, device, subsystem and system in quasi- cognitive environment.According to not
Same exception status flag triggers different dynamic characterizations.If the exception status flag of certain instrument fluctuates for one point data, then trigger
Dynamic characterization be the instrument display data bounce, flicker show the instrument；It is closed if there is confirming with multiple abnormalities
The leakage failure exception status mark of system, the then dynamic characterization triggered are the particle spraying for revealing position, and flicker display is because of leakage
Instrument with abnormality caused by failure, be highlighted with abnormality confirm the part of relationship, component, device,
Subsystem and system.
In conclusion the above is merely preferred embodiments of the present invention, being not intended to limit the scope of the present invention.
All within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in the present invention's
Within protection domain.
Claims (2)
1. a kind of method for diagnosing faults based on three-dimensional cognitive environment, which is characterized in that include the following steps：
Step 1: the three dimensional virtual models of structure process system；
Step 2: three dimensional virtual models are carried out hierarchical links, the level of part, component, device, subsystem and system is formed,
Establish three-dimensional cognitive environment；
Step 3：Distinguish link model attribute for each part of three dimensional virtual models, component, device, subsystem and system
Library；Model attributes library includes that abnormality confirms relationship, upper lower threshold value and fault signature；
Step 4：Fault diagnosis is carried out based on three-dimensional cognitive environment；
Detailed process is as follows：
Step 41：Detection data corresponding to each part, component, device, subsystem and system in three dimensional virtual models is defeated
Enter three-dimensional cognitive environment；
Step 42：By the detection data with it is upper in the model attributes library of each part, component, device, subsystem and system
Lower threshold value is compared, if without departing from upper lower threshold value, continues to detect；If exceeding upper lower threshold value, which is abnormal
The exception status flag of the abnormality detection data is further arranged in detection data；
Step 43：Each part, component, device, subsystem in interrogation model attribute library corresponding to abnormality detection data and it is
The abnormality of system confirms relationship, such as there is abnormality and confirms relationship, then exception status flag is stored in abnormal inspection simultaneously
Part, component, device, subsystem and system corresponding to measured data and with its with abnormality confirm relationship part,
Component, device, subsystem and system model attributes library in；Abnormality is such as not present and confirms relationship, then by abnormality
Mark is only stored in the model attributes library of the corresponding each part of abnormality detection data, component, device, subsystem and system；
Exception in step 44, traversal same time point upper each part, component, device, subsystem and system model attribute library
Status Flag, pre-stored fault signature in comparison model attribute library, such as meets certain fault signature, then exports corresponding failure
Diagnostic result realizes fault diagnosis；
Step 5：The three-dimensional enhancing cognition for carrying out fault diagnosis result, completes the failure based on three-dimensional cognitive environment
Diagnosis.
2. a kind of method for diagnosing faults based on three-dimensional cognitive environment as described in claim 1, which is characterized in that described
Model attributes library further includes essential information and hierarchical information；Essential information includes the specific object oriented of process system, manufacture information
With safeguard information；Hierarchical information includes membership and connection relation.
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| CN105565103B (en) * | 2016-03-16 | 2018-10-16 | 日立楼宇技术（广州）有限公司 | Elevator faults detection method and device |
| CN108764502A (en) * | 2018-06-15 | 2018-11-06 | 北京明略软件系统有限公司 | A kind of Train Parts Fault Locating Method and server |
| CN112959367B (en) * | 2021-03-26 | 2023-03-17 | 深圳市优必选科技股份有限公司 | Abnormity detection method and abnormity detection device for moving part |
| CN116224977B (en) * | 2023-05-10 | 2023-09-05 | 长城汽车股份有限公司 | Vehicle fault diagnosis method and device, vehicle and storage medium |
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| CN103527194A (en) * | 2013-10-15 | 2014-01-22 | 淮北矿业（集团）有限责任公司 | Real-time monitoring and intelligent evaluation system for health degree of electric traction coal mining machine and method thereof |
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