CN106197522A - A kind of equipment failure diagnosis terminal based on Double Data path and diagnostic method thereof - Google Patents
A kind of equipment failure diagnosis terminal based on Double Data path and diagnostic method thereof Download PDFInfo
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- CN106197522A CN106197522A CN201610491818.7A CN201610491818A CN106197522A CN 106197522 A CN106197522 A CN 106197522A CN 201610491818 A CN201610491818 A CN 201610491818A CN 106197522 A CN106197522 A CN 106197522A
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Abstract
The invention discloses a kind of equipment failure diagnosis terminal based on Double Data path, it includes acquisition module, display module, external interface, memory module, diagnostic module, knowledge base memory module and the wireless communication module communicated with external data center；Its method includes the operational factor gathering equipment, and operational factor includes types of equipment, equipment ID, acquisition time, operational factor type and the operational parameter value of correspondence；Receive the operational factor of equipment, and according to types of equipment, operational factor is carried out statistical analysis, formed and cause barrier probabilistic knowledge table；Abnormal parameters scope knowledge table according to data center's storage judges to equip whether operational factor exists abnormal conditions；If existing, carrying out abnormity prompt, the barrier probabilistic knowledge table that causes simultaneously stored according to data center judges the fault type in operational factor and probability thereof, and carries out causing barrier prompting.
Description
Technical field
The present invention relates to fault diagnosis field, be specifically related to a kind of equipment failure diagnosis terminal based on Double Data path and
Its diagnostic method.
Background technology
At present, in the prior art, equipment failure is diagnosed process, be commonly present following problem: use in diagnosis terminal
The mode of prepackage diagnostic knowledge, during work, terminal gathers target equipment data, is analyzed in this locality, and it exists diagnostic knowledge
Fixing, can not surf the Net, the problem that knowledge is not easy to update；And after increasing communication module on diagnosis terminal, it is achieved function of surfing the Net,
During work, using terminal as intermediary, by terminal, target equipped data and be uploaded to the diagnosis mechanism in somewhere, rear end or diagnosis sets
For diagnosing, its result sends terminal again back to, and it exists network such as and interrupts, then the problem that diagnosis terminal cannot work；Meanwhile,
Diagnosis terminal of the prior art all associates closely with diagnosis object, diagnosis process, fault type, such as target types of equipment, is good for
Health pointer type, fault type change, then be difficult to carry out equipping fault diagnosis with remaining valid.
Summary of the invention
For above-mentioned deficiency of the prior art, the equipment failure diagnosis terminal based on Double Data path that the present invention provides
And diagnostic method flexibly configurable diagnosis object, monitored parameter and fault type, and without real-time interconnection.
In order to reach foregoing invention purpose, the technical solution used in the present invention is: provide a kind of based on Double Data path
Equipment failure diagnosis terminal, it includes acquisition module, is used for gathering equipment trip information；Memory module, is connect by outside
Mouth is connected with acquisition module, is used for receiving and store equipment trip information；Knowledge base memory module, is used for receiving and depositing
The information that storage external data center is uploaded；Wireless communication module, is connected with memory module and knowledge base memory module, for outward
Data center of portion carries out network service；Diagnostic module, for reading the equipment trip information in memory module and knowledge base
In memory module storage information and to equipment trip information diagnose；And display module, it is used for showing diagnosis letter
Breath.
Further, external interface include IEEE, acquisition module include respectively with equipment and STD bus connect
The standard data bus that mouth connects.
Further, external interface includes 16 road A/D Sampling Interfaces, and acquisition module includes that be arranged on equipment passes through mould
The sensor cluster that number converter and 16 road A/D Sampling Interfaces connect.
Further relating to a kind of equipment failure diagnostic method based on Double Data path, its technical scheme used includes walking as follows
Rapid:
A. gather the operational factor of equipment, operational factor include types of equipment, equipment ID, acquisition time, operational factor type and
Corresponding operational parameter value；
B. receive the operational factor of equipment, and according to types of equipment, operational factor is carried out statistical analysis, form cause barrier probability and know
Know table；
C. judge to equip whether operational factor exists abnormal conditions according to the abnormal parameters scope knowledge table of data center's storage；
If d. existing, carry out abnormity prompt；Judge in operational factor according to the cause barrier probabilistic knowledge table of data center's storage simultaneously
Fault type and probability, and carry out cause barrier remind.
Further, on abnormal parameters scope knowledge table includes that types of equipment, operational factor type, operational factor are general
, operational factor is typically next, the operational factor dangerous previous and operational factor dangerous next time.
Further, failure logging table includes equipping ID, types of equipment, fault type and guarantee time.
Further, in above-mentioned steps a, connect equipment data-interface by the data/address bus of standard, directly obtain equipment
Operational factor.
Further, in above-mentioned steps a, the analogue signal that sensor cluster transmits directly is connect after analog digital conversion and draws
In diagnosis terminal.
The invention have the benefit that examining of this equipment failure diagnosis terminal based on Double Data path and diagnostic method thereof
Target is filled by the data center that disconnected process relies on network backend powerful as support, the diagnostic knowledge formed according to data center
For diagnosing, diagnostic configuration is flexible；Data message needed for diagnosis process can periodically or non-periodically from data center obtain
And be stored in knowledge base memory module, when failed cluster diagnoses, the data being stored in knowledge base memory module can be directly utilized,
At failure diagnostic process without real-time interconnection.
Accompanying drawing explanation
Fig. 1 is the block schematic illustration of equipment failure diagnosis terminal based on Double Data path.
Fig. 2 is the formation flow chart causing barrier knowledge table of equipment failure diagnostic method based on Double Data path.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only an embodiment of the present invention rather than whole embodiments wholely.Based on this
Embodiment in invention, the every other reality that those of ordinary skill in the art are obtained under not making creative work premise
Execute example, broadly fall into protection scope of the present invention.
For the sake of simplicity, herein below eliminates the technology general knowledge well known to this technical field technical staff.
As it is shown in figure 1, display module, external interface should be included, deposit by equipment failure diagnosis terminal based on Double Data path
Storage module, diagnostic module, acquisition module, wireless communication module and knowledge base memory module；Wherein, acquisition module, it is used for gathering
Equipment trip information；Memory module, is connected with acquisition module by external interface, runs for receiving and store equipment
Parameter information；Knowledge base memory module, for receiving and store the information that external data center is uploaded；Wireless communication module, with
Memory module and knowledge base memory module connect, for carrying out network service with external data center；Diagnostic module, is used for reading
In memory module equipment trip information and knowledge base memory module in storage information and to equipment trip information
Diagnose；And display module, it is used for showing diagnostic message.
In being embodied as, stored the equipment trip information collected by acquisition module by memory module, and
Compare with the knowledge of knowledge base memory module storage, and comparison information is shown by display module；At networking shape
Under state, knowledge base memory module can directly from data center obtain needed for data, diagnostic configuration is flexible；In failed cluster state
Under, the data being stored in knowledge base memory module can be directly utilized, at failure diagnostic process without real-time interconnection.
The preferred embodiments of the present invention are: external interface include IEEE, acquisition module include respectively with equipment
The standard data bus connected with IEEE, is directly realized by the transmission of information by standard data bus.
The preferred embodiments of the present invention are: external interface includes 16 road A/D Sampling Interfaces, and acquisition module includes being arranged on dress
The standby upper sensor cluster connected by analog-digital converter and 16 road A/D Sampling Interfaces, single-chip microcomputer passes through A/D converter
Read the information of sensor cluster in real time, and be transferred to diagnosis terminal, there is higher real-time.
Further relating to a kind of equipment failure diagnostic method based on Double Data path, its technical scheme used includes walking as follows
Rapid:
A. the operational factor of equipment is gathered, in being embodied as, when equipment operational factor includes types of equipment, equipment ID, collection
Between, operational factor type and the operational parameter value of correspondence；It can connect equipment data-interface by the data/address bus of standard, directly
Obtain equipment operational factor, it is possible to the analogue signal that sensor cluster transmits directly connect after analog digital conversion and guide to diagnosis eventually
In end.
B. receive the operational factor of described equipment, and according to types of equipment, operational factor is carried out statistical analysis, formed and cause
Barrier probabilistic knowledge table；
In being embodied as, abnormal parameters scope knowledge table and failure logging table in data center, it are previously stored；Its parameter is different
Often scope knowledge table includes that types of equipment, operational factor type, operational factor are the most previous, operational factor is typically next, runs
Parameter is dangerous previous and operational factor danger next, and in implementation process, abnormal ranges knowledge table is by equipment Specialist manual configuration；
Failure logging table includes equipping ID, types of equipment, fault type and guarantee time；In implementation process, failure logging table is by tieing up
Repair engineer to arrange.
As in figure 2 it is shown, in being embodied as, data center collects received all equipment operational factors, according to equipment
Type is classified；According to abnormal ranges knowledge table, to each class equipment according to operational factor is abnormal or abnormal combination is carried out
Packet, the abnormal number NUM (E) of statistics, refering to failure logging table, the fault of equipment is carried out classified statistic, statistics is in certain fault
Under type, when same equipment breaks down, its first 10 days abnormal number of times UNE (B.E) occurred of intrinsic parameter, according to formula P (B/
E)=NUM (B.E)/NUM (E) statistics causes barrier probability, completes Fault traversal, repeats under different fault types, the cause barrier of equipment
Probability, completes the traversal of exception or a combination thereof, according to probability height sequence, arranges and causes barrier knowledge table；Wherein, P (B/E) represents different
The often probability of meeting causing trouble, P (E) is the probability broken down, and P (B.E) is fault and abnormal simultaneous probability.
C. judge to equip whether operational factor exists abnormal feelings according to the abnormal parameters scope knowledge table of data center's storage
Condition；In being embodied as, got parms abnormal ranges knowledge table be stored in knowledge from data center by wireless communication module
Library storage module, compares the trip information collected with the parameter information in abnormal parameters scope knowledge table, obtains
Abnormal conditions in fetching received shipment line parameter.
If d. existing, carry out abnormity prompt；Judge to run ginseng according to the cause barrier probabilistic knowledge table of data center's storage simultaneously
Fault type in number and probability thereof, and carry out causing barrier prompting；In being embodied as, by wireless communication module from data center
Obtain and cause barrier probabilistic knowledge table.
The first embodiment of the present invention is: when recording operational factor, according to 5,020,10,1500,
The form of 20160511093015 carries out record；Wherein 020 is the model (if 020 type equipment is vehicle) equipped, and 5 is numbering,
10 is parameter (as No. 10 parameters represent engine speed), and 20160511093015 is the time of record, is expressed as in 2016 years
30 points of 15 seconds records during 11 days 9 May.
The second embodiment of the present invention is: when arrangement abnormalities scope knowledge table, according to 020,10,5000,700,7000,
The form of 500 configures；Wherein 020 be equipment model, 10 be parameter, 5000 be rotating speed the most previous, 700 be rotating speed
General next, 7000 be the danger of rotating speed previous and 500 be rotating speed the dangerous next time, it may be assumed that normal interval is normally at 700-
5000(turns), represent abnormal when exceeding this scope, especially, the most different when this index is more than 7000 turns or less than 500 turns
Often.
The third embodiment of the present invention is: when recording failure logging table, according to 5,020,3,20160515083000
Form carries out record；Wherein 020 is the model equipped, and 5 is numbering, and 3 is tracing trouble type (if 3 classes are driving),
20160515083000 is time of reporting for repairment, is expressed as when 15 days 8 May in 2016 30 points and reports for repairment for 0 second.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.
Multiple amendment to these embodiments will make it will be apparent that defined herein one for those skilled in the art
As principle can without departing from invention spirit or scope in the case of, realize in other embodiments.Therefore, the present invention will not
Can be limited and the embodiments shown herein, and be to fit to consistent with principles disclosed herein and novel features
The widest scope.
Claims (8)
1. an equipment failure diagnosis terminal based on Double Data path, it is characterised in that including:
Acquisition module, is used for gathering equipment trip information；
Memory module, is connected with described acquisition module by external interface, is used for receiving and store described equipment operational factor
Information；
Knowledge base memory module, for receiving and store the information that external data center is uploaded；
Wireless communication module, is connected with described memory module and knowledge base memory module, for carrying out net with external data center
Network communicates；
Diagnostic module, deposits for reading in the equipment trip information in described memory module and described knowledge base memory module
Storage information and to equipment trip information diagnose；And
Display module, is used for showing diagnostic message.
Equipment failure diagnosis terminal based on Double Data path the most according to claim 1, it is characterised in that: described outside
It is total with the normal data that equipment and IEEE are connected respectively that interface includes that IEEE, described acquisition module include
Line.
Equipment failure diagnosis terminal based on Double Data path the most according to claim 1, it is characterised in that: described outside
Interface includes 16 road A/D Sampling Interfaces, described acquisition module include being arranged on equipment by analog-digital converter and 16 road A/D
The sensor cluster that Sampling Interface connects.
4. a diagnosis side based on the arbitrary described equipment failure diagnosis terminal based on Double Data path of claim 1 ~ 3
Method, it is characterised in that: comprise the following steps:
A. gathering the operational factor of equipment, described operational factor includes types of equipment, equipment ID, acquisition time, operational factor class
Type and the operational parameter value of correspondence；
B. receive the operational factor of described equipment, and according to types of equipment, operational factor is carried out statistical analysis, formed and cause barrier generally
Rate knowledge table；
C. judge to equip whether operational factor exists abnormal conditions according to the abnormal parameters scope knowledge table of data center's storage；
If d. existing, carry out abnormity prompt；Judge in operational factor according to the cause barrier probabilistic knowledge table of data center's storage simultaneously
Fault type and probability, and carry out cause barrier remind.
Equipment failure diagnostic method based on Double Data path the most according to claim 4, it is characterised in that: described parameter
Abnormal ranges knowledge table includes that types of equipment, operational factor type, operational factor are the most previous, operational factor is typically next, fortune
Line parameter is dangerous previous and operational factor danger next.
Equipment failure diagnostic method based on Double Data path the most according to claim 5, it is characterised in that: described fault
Log includes equipping ID, types of equipment, fault type and guarantee time.
Equipment failure diagnostic method based on Double Data path the most according to claim 6, it is characterised in that: above-mentioned steps
In a, connect equipment data-interface by the data/address bus of standard, directly obtain equipment operational factor.
Equipment failure diagnostic method based on Double Data path the most according to claim 6, it is characterised in that: above-mentioned steps
In a, the analogue signal that sensor cluster transmits directly is connect after analog digital conversion and guides in diagnosis terminal.
Priority Applications (1)
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| CN201610491818.7A CN106197522B (en) | 2016-06-29 | 2016-06-29 | A kind of equipment failure diagnostic method based on Double Data access |
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| CN201610491818.7A CN106197522B (en) | 2016-06-29 | 2016-06-29 | A kind of equipment failure diagnostic method based on Double Data access |
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| CN106197522B CN106197522B (en) | 2018-11-20 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108303645A (en) * | 2018-04-16 | 2018-07-20 | 南方电网科学研究院有限责任公司 | Method and device for diagnosing faults of switching-on and switching-off coils |
| CN108646707A (en) * | 2018-04-27 | 2018-10-12 | 重庆车云金服科技股份有限公司 | A kind of method and system of the neighbouring repair shop of voice prompt |
| CN108762230A (en) * | 2018-05-29 | 2018-11-06 | 江南大学 | One kind being based on Embedded Portable automobile failure diagnosis device and method |
| CN112861077A (en) * | 2021-01-20 | 2021-05-28 | 湖南联科科技有限公司 | Vehicle diagnosis data stream analysis method, system, server and storage medium |
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| US7477960B2 (en) * | 2005-02-16 | 2009-01-13 | Tokyo Electron Limited | Fault detection and classification (FDC) using a run-to-run controller |
| US7324193B2 (en) * | 2006-03-30 | 2008-01-29 | Tokyo Electron Limited | Measuring a damaged structure formed on a wafer using optical metrology |
| CN101672723A (en) * | 2009-10-28 | 2010-03-17 | 北京中能联创风电技术有限公司 | Method and system for analyzing vibration and diagnosing failure for wind generating set |
| CN102183945B (en) * | 2011-01-17 | 2012-11-14 | 武汉理工大学 | Multifunctional remote fault diagnosis system for electric control automobile |
| CN102073319B (en) * | 2011-01-25 | 2013-02-27 | 武汉理工大学 | Multifunctional comprehensive type electric control automobile fault diagnosis system |
| CN102368634B (en) * | 2011-09-14 | 2013-12-11 | 文存润 | Unified information platform system for state monitoring of intelligent transformer substation |
| CN102566503B (en) * | 2012-01-17 | 2014-05-07 | 江苏高精机电装备有限公司 | Remote monitoring and fault diagnosis system for numerical control machine tool |
| CN103823458A (en) * | 2014-03-17 | 2014-05-28 | 广东华南计算技术研究所 | Remote diagnosis device, method and system for equipment |
| CN105391800B (en) * | 2015-12-11 | 2019-03-29 | 四川信息职业技术学院 | Based on " internet+" medical equipment failure self-test and repair system |
| CN105446328B (en) * | 2016-01-15 | 2017-12-12 | 东莞团诚自动化设备有限公司 | Generating set remote fault diagnosis and health monitoring systems and data capture method |
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2016
- 2016-06-29 CN CN201610491818.7A patent/CN106197522B/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108303645A (en) * | 2018-04-16 | 2018-07-20 | 南方电网科学研究院有限责任公司 | Method and device for diagnosing faults of switching-on and switching-off coils |
| CN108646707A (en) * | 2018-04-27 | 2018-10-12 | 重庆车云金服科技股份有限公司 | A kind of method and system of the neighbouring repair shop of voice prompt |
| CN108762230A (en) * | 2018-05-29 | 2018-11-06 | 江南大学 | One kind being based on Embedded Portable automobile failure diagnosis device and method |
| CN112861077A (en) * | 2021-01-20 | 2021-05-28 | 湖南联科科技有限公司 | Vehicle diagnosis data stream analysis method, system, server and storage medium |
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| CN106197522B (en) | 2018-11-20 |
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