CN107704668A - A kind of sensor optimization layout method based on testability modeling and analysis - Google Patents
A kind of sensor optimization layout method based on testability modeling and analysis Download PDFInfo
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Abstract
The present invention relates to a kind of sensor optimization layout method based on testability modeling and analysis, system testing model is established using multi-signal flow graph, it includes S1：System testing node is established, the system testing node includes several；S2：The system testing node link is formed by system testing model by directed line segment；S3：Testability analysis is carried out to the system testing model and exports testability analysis result；S4：If the testability result meets to require, testability model is exported；If the testability result is unsatisfactory for requiring, repeat step S1 to S3, until testability result meets to require.When the method for the present invention carries out the sensor placement adjustment of computer model aspect, sensor placement recruitment evaluation can be obtained immediately, can the design of adjoint system testability be synchronous carries out, before placement scheme determines, physical system need not be changed, can adjoint system scheme synchronously carry out, can easily and fast, economically realize more wheel iteration optimizations.
Description
Technical field
The invention belongs to aeronautic measurement design field, more particularly to a kind of sensor based on testability modeling and analysis are excellent
Change layout method.
Background technology
It is in prognostic and health management PHM (Prognostic and Health Management) technology, it is necessary to big
The sensor of amount carries out state information acquisition to system and equipment, so that system reaches testability design objective, failure is quick
It is positioned in Field Replaceable Unit LRU (Line Replaceable Unit), improves the maintainability and protection of system.Pass
Sensor arrangement is excessive, may decline PHM system reliabilities, cause system resource waste；Sensor is difficult to reach again using deficiency
To condition monitoring and the target of fault detect, and the problems such as easily cause failure missing inspection and false-alarm.Sensor placement optimizes
The important method of system testing and reliability is improved, is one of core technology of PHM technologies.
Whether sensor placement is reasonable, and traditional evaluation method is after the completion of physical system structure, is made engineering is actual
In, a large amount of, prolonged field test is carried out, passes through the statistics of fault-detecting ability, trouble isolation serviceability and false alarm condition
Data and analysis show that evaluation cycle is long, input is big, and after confirming that layout is unreasonable, carry out sensor placement adjustment and more
When changing, it may be necessary to redesign system and carry out correlation test, new departure is also possible to further improve in the application, developed
On the premise of cycle and funds are limited, iteration optimizations of taking turns almost turn into impossible more, and it is excellent to lack fast and effectively sensor placement
Change, evaluating and optimizing in advance to sensing layout at the beginning of the method for inspection, and scheme Design.
The content of the invention
The purpose of the present invention is exactly to solve problem above, there is provided a kind of sensor based on testability modeling and analysis
Optimal Deployment Method.
To achieve the above object, a kind of sensor optimization layout method based on testability modeling and analysis of the invention,
System testing model is established using multi-signal flow graph, it includes：
S1：System testing node is established, the system testing node includes several；
S2：The system testing node link is formed by system testing model by directed line segment；
S3：Testability analysis is carried out to the system testing model and exports testability analysis result；
S4：If the testability result meets to require, testability model is exported；Will if the testability result is unsatisfactory for
Ask, then repeat step S1 to S3, until testability result meets to require.
Further, the system testing node includes system component units and system dependence test index.
Further, the directed line segment represents relation between systemic-function signal flow direction and/or system component units.
Further, the system testing node can receive some directed line segments, and the system testing node
Some directed line segments can be sent.
Further, the testability analysis result includes not detecting failure, Fault Isolation ambiguity group, redundancy testing row
Table.
Further, it is described to adjust the part type, quantity, test point for including adjustment system component units.
System of the sensor optimization layout method based on multi-signal flow graph based on testability modeling with analysis of the present invention
Testability modeling and analysis, the sensor placement adjustment of computer model aspect is carried out, sensor placement effect can be obtained immediately
Assess, can the design of adjoint system testability is synchronous carries out,, being capable of adjoint system without changing physical system before placement scheme determines
System scheme is synchronously carried out, and can easily and fast, economically realize more wheel iteration optimizations, sensor is realized with low cost, high reliability
The function of system.
Brief description of the drawings
Fig. 1 is the sensor optimization layout flow chart based on testability modeling with analysis of the present invention.
Fig. 2 is the testability modeling schematic diagram based on multi-signal flow graph of one embodiment of the invention.
Fig. 3 is the model schematic after the distributing adjustment of one embodiment of the invention.
Fig. 4 is the model schematic after the layout optimization of one embodiment of the invention.
Embodiment
To make the purpose, technical scheme and advantage that the present invention is implemented clearer, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is further described in more detail.
The present invention is described in further details by taking the sensor placement of certain electricity generation system as an example below.
The basic procedure of the sensor optimization layout method based on testability modeling and analysis of the present invention is referring to Fig. 1 institutes
Show, it comprises the following steps：
First：System testing node is established, the system testing node includes several；
Second：The system testing node link is formed by system testing model by directed line segment；
3rd：Testability analysis is carried out to the system testing model and exports testability analysis result；
4th：If the testability result meets to require, testability model is exported；If the testability result is unsatisfactory for
It is required that then repeat step first to the 3rd, until testability result meets to require.
The present invention establishes system testing model using multi-signal flow graph, and multi-signal flow graph is a kind of layered modeling method,
Based on signal flow diagram, the node link in system is got up by directed line segment, forms oriented grid.These nodes
The component units of system and the dependence test index of system etc. are illustrated, and directed line segment then illustrates the stream of systemic-function signal
To and component units between relation.Multi-signal flow graph model can establish easily, be depicted each component units of system (or
Part) failure route of transmission, and influence of the fault mode to each component units of system.
Multi-signal flow graph is modeled with System Working Principle and system failure mode, influence and HAZAN FMECA
(Failure Mode, Effects and Criticism Analysis, abbreviation FMECA) result is input, can carry out system
Model, synchronous with scheme Design can also carry out afterwards.Passed with three-level generator in certain ac power supply system in the present embodiment
Exemplified by sensor layout optimization process, the sensor placement optimization method based on testability modeling is introduced.Generator is as power supply system
The Field Replaceable Unit LRU of system, it is necessary to which Fault Isolation is positioned in the LRU in PHM Technology designs.The present embodiment
Certain electricity generation system FMECA the results are shown in Table 1.
Certain electric power system FMECA of table 1 (by taking master section as an example)
(model is level as shown in Figure 2 for the system initial state multi-signal flow graph testability model signal established according to table 1
Change structure, herein only by taking generator as an example, the other LRU of electric power system are not illustrated).
By carrying out testability analysis to the model established, 2 are the results are shown in Table.
The electric power system initial testing result of table 2
The analysis result of testability modeling can also include not detecting failure, Fault Isolation ambiguity group, redundancy testing etc..Through
Cross inquiry labor result and understand that " permanent magnetic motor output voltage is exceeded ", " exciting current is exceeded " in testability model are arranged
Not detect failure (exemplified by generator, the other LRU of electric power system, which are omitted, to be not illustrated) herein, system failure inspection have impact on
The testability index such as survey rate and Percent Isolated.This analysis result can be directed to, adjusts electric power system testability model, not examine
The corresponding test point of fault configuration is surveyed, i.e., corresponding malfunction monitoring identification sensor is set in system schema, and in system design
The adjustment of the sensor types such as current sensor, voltage sensor and quantity is carried out in scheme.System testing mould after adjustment
Generator part is as shown in Figure 3.
Testability analysis is carried out to amended system testing model, as a result such as table 3.
The electric power system initial testing result of table 3
From the analysis result of table 3, increase fault test point newly, the fault detect rate of system, Percent Isolated all on
Rise, system testing is improved, and sensor placement scheme corresponding to Fig. 3 is better than Fig. 2.Labor result is inquired about to understand,
By Fault Isolation during generator this LRU, in testability model " testing current 2 " is listed in redundancy testing.I.e.
When by fault location in LRU levels, in testability model " testing current 2 " is to system failure detection rate, Percent Isolated
Not contributing, although sensor placement scheme shown in Fig. 3 improves the testability of system, but due to adding unnecessary biography
Sensor, cause PHM system reliabilities, economy to reduce, fault location is isolated in LRU and do not helped.
According to testability analysis result, generator internal fault testing scheme, testability model such as Fig. 4 are adjusted.System now
Measurement results are shown in Table 4.
The electric power system initial testing result of table 4
Testability analysis result shows, cancels test point in LRU, and sensor use can be reduced in conceptual design, is improved
PHM system reliabilities and economy, also do not influence system testing.
The major advantage of sensor optimization layout method of the testability modeling with analyzing based on the present invention is as follows：
1) testability modeling and testability analysis in the present invention, model adjustment process, it is relative with system design scheme
Should, completed in computer model aspect, compare the analysis result of testability modeling, with clearly defined objective carry out sensor placement tune
It is whole, and can adjust and be mutually authenticated with system schema, quickly, conveniently, layout recruitment evaluation is quick, concise for process；
2) system testing model is established using multi-signal flow graph, be provided simultaneously with " dependence model " and " structural model "
The advantage of testability modeling, the signal relation without accurate quantification can model, and when multisystem is crosslinked, is laminated, interface definition is clear
It is clear, to influence transitive relation clear and definite, you can parallel modeling, be adapted to larger, complicated, multiple subsystem crosslinking operation, more
The testability modeling of the large scale system of people's collaborative design, according to testability analysis result can rapid evaluation sensor in subsystem
With the placement scheme of whole system, modeling easily and fast, is applied in large-scale complicated system, advantage becomes apparent；
3) distributing adjustment of sensor and checking are based entirely on microcomputer modelling and analysis, without changing original department of physics
System, it is not required that carry out field experiment, in the short time i.e. can light, convenient, low cost progress take turns Optimized Iterative more, can be
The layout of sensor is evaluated and optimized in advance at the beginning of system design, also can the design of adjoint system testability is synchronous carries out,
Scheme Design and change can be rapidly adapted to, easily and fast, high reliability, inexpensive optimization are laid out for economic drawing
Scheme；
4) multi-signal flow graph modeling method is a simple and effective Knowledge Representation Method, and it is substantially in structural model
On cover rely on model set.From design data and properties of product obtain system attribute (properity, interface etc.),
Multi signal stream relies on model, it is allowed to which structure or information flow close relation is oriented in the more natural system according to holding of modeler
The form acquisition system information of figure, modeling process is easily understood, is easily operated, without departing from the complexity outside scheme Design
Calculate and analyze, can be completed by testability modeling software.
It is last it is to be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations.To the greatest extent
The present invention is described in detail with reference to the foregoing embodiments for pipe, it will be understood by those within the art that：It is still
Technical scheme described in foregoing embodiments can be modified, or which part technical characteristic is equally replaced
Change；And these modifications or replacement, the essence of appropriate technical solution is departed from the essence of various embodiments of the present invention technical scheme
God and scope.
Claims (6)
1. a kind of sensor optimization layout method based on testability modeling and analysis, it is characterised in that described to be based on testability
The sensor optimization layout method of modeling and analysis establishes system testing model using multi-signal flow graph, described to be based on testability
The sensor optimization layout method of modeling and analysis includes:
S1：System testing node is established, the system testing node includes several；
S2：The system testing node link is formed by system testing model by directed line segment；
S3：Testability analysis is carried out to the system testing model and exports testability analysis result；
S4：If the testability result meets to require, testability model is exported；If the testability result is unsatisfactory for requiring,
Then repeat step S1 to S3, until testability result meets to require.
2. the sensor optimization layout method according to claim 1 based on testability modeling and analysis, it is characterised in that
The system testing node includes system component units and system dependence test index.
3. the sensor optimization layout method according to claim 2 based on testability modeling and analysis, it is characterised in that
The directed line segment represents relation between systemic-function signal flow direction and/or system component units.
4. the sensor optimization layout method according to claim 3 based on testability modeling and analysis, it is characterised in that
The system testing node can receive some directed line segments, and the system testing node can send some it is oriented
Line segment.
5. the sensor optimization layout method according to claim 1 based on testability modeling and analysis, it is characterised in that
The testability analysis result includes not detecting failure, Fault Isolation ambiguity group, redundancy testing list.
6. the sensor optimization layout method according to claim 2 based on testability modeling and analysis, it is characterised in that
It is described to adjust the part type, quantity, test point for including adjustment system component units.
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| CN108460202A (en) * | 2018-02-22 | 2018-08-28 | 中国舰船研究设计中心 | Marine system testability index optimization method |
| CN111046575A (en) * | 2019-12-23 | 2020-04-21 | 中国航空工业集团公司沈阳飞机设计研究所 | Method and system for ensuring simulation consistency |
| CN111058984A (en) * | 2019-11-20 | 2020-04-24 | 中国人民武装警察部队工程大学 | Fuel supply system testability modeling method based on associated directed graph |
| CN113422713A (en) * | 2021-05-28 | 2021-09-21 | 中国航空工业集团公司沈阳飞机设计研究所 | 1394b bus network testing method |
| CN115858403A (en) * | 2023-03-01 | 2023-03-28 | 中国电子科技集团公司第十研究所 | False alarm rate prediction method of electronic system |
| CN116008896A (en) * | 2023-02-03 | 2023-04-25 | 南京玛瑜信息科技有限公司 | Motor current transformer layout detection system |
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Cited By (10)
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|---|---|---|---|---|
| CN108460202A (en) * | 2018-02-22 | 2018-08-28 | 中国舰船研究设计中心 | Marine system testability index optimization method |
| CN111058984A (en) * | 2019-11-20 | 2020-04-24 | 中国人民武装警察部队工程大学 | Fuel supply system testability modeling method based on associated directed graph |
| CN111058984B (en) * | 2019-11-20 | 2021-04-30 | 中国人民武装警察部队工程大学 | Fuel supply system testability modeling method based on associated directed graph |
| CN111046575A (en) * | 2019-12-23 | 2020-04-21 | 中国航空工业集团公司沈阳飞机设计研究所 | Method and system for ensuring simulation consistency |
| CN113422713A (en) * | 2021-05-28 | 2021-09-21 | 中国航空工业集团公司沈阳飞机设计研究所 | 1394b bus network testing method |
| CN113422713B (en) * | 2021-05-28 | 2022-08-19 | 中国航空工业集团公司沈阳飞机设计研究所 | 1394b bus network testing method |
| CN116008896A (en) * | 2023-02-03 | 2023-04-25 | 南京玛瑜信息科技有限公司 | Motor current transformer layout detection system |
| CN116008896B (en) * | 2023-02-03 | 2023-12-01 | 横县江南发电有限公司 | Three-phase full-wave brushless motor current transformer layout detection system |
| CN115858403A (en) * | 2023-03-01 | 2023-03-28 | 中国电子科技集团公司第十研究所 | False alarm rate prediction method of electronic system |
| CN115858403B (en) * | 2023-03-01 | 2023-06-02 | 中国电子科技集团公司第十研究所 | False alarm rate prediction method of electronic system |
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Application publication date: 20180216 |