CN107065605A - A kind of fault diagnosis and alarm method - Google Patents
A kind of fault diagnosis and alarm method Download PDFInfo
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- CN107065605A CN107065605A CN201710045196.XA CN201710045196A CN107065605A CN 107065605 A CN107065605 A CN 107065605A CN 201710045196 A CN201710045196 A CN 201710045196A CN 107065605 A CN107065605 A CN 107065605A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
Abstract
The present invention relates to a kind of fault diagnosis and alarm method, the data of collection are analyzed by data when this method is run by device sensor collecting device according to expert judgments rule, and analysis result provides following probability of malfunction of equipment, after probability of malfunction exceedes threshold value, and alarm.The loss of equipment stoppage in transit is this method reduce, full process automatization is carried out, and facilitates equipment user.
Description
【Technical field】
The invention belongs to computer and intelligent management field, more particularly to a kind of fault diagnosis and alarm method.
【Background technology】
In the prior art, manufacturer is after a product is sold, as fruit product goes wrong, and the user of product needs actively to join
It is manufacturer, sends technical staff to visit by manufacturer and search and solve the problems, such as.This is actually a kind of post processing pattern, because only that going out
After existing problem, user can just contact manufacturer, and now product usually can not have been used, and from the process reported for repairment to maintenance
In, a series of losses caused by substantial amounts of time, manpower, material resources, and equipment are stopped transport are wasted, it is extremely disadvantageous to user.
It is to accumulate caused because of small operation exception in the experience of maintenance, the problem of a lot, but existing pattern
Solution can not be predicted in advance.
For the disadvantages mentioned above of prior art, also without a kind of perfect solution.
【The content of the invention】
In order to solve above mentioned problem of the prior art, the present invention proposes a kind of fault diagnosis and alarm method.
The technical solution adopted by the present invention is as follows：
A kind of fault diagnosis and alarm method, this method comprise the following steps:
(1) data of multiple sensor timed collection equipment various aspects of diverse location in equipment are arranged on；
(2) sensor is collected after data every time, and collected data all are sent into data collecting instrument.
(3) sensing data of collection is packed in the data collecting instrument timing, a sensor data packet is obtained, by this
Sensor data packet sends high in the clouds data acquisition server；
(4) the high in the clouds data acquisition server receives the sensor data packet, and carries out data solution to the packet
The data that parse are assembled into a data-message according to predefined form, are sent to Message Queuing server by analysis；
(5) Message Queuing server receives the data-message, so that a data message queue is formd, according to
FIFO principle, data-message is sent to one by one Expert Rules storehouse；
(6) Expert Rules storehouse is analyzed the data-message received according to predefined expert judgments rule, according to
Analysis result is handled accordingly.
Further, the data collecting instrument has a global unique number, and the sensor data packet includes this
Unique number.
Further, the high in the clouds data acquisition server passes through the unique number identification data that is carried in packet
Acquisition Instrument type, then according to the data packet format of known the type, is parsed to the packet.
Further, each expert judgments rule is related to a kind of type of data collecting instrument, Expert Rules storehouse according to
The data collecting instrument unique number carried in data-message, judges data collecting instrument type, according to data collecting instrument type from number
According to all expert judgments rule related to the type is read in storehouse, one by one using these expert judgments rule to the data-message
Analyzed.
Further, every expert judgments rule has following citation form：
Expert judgments rule R={ Type, Rule, Output }；
Wherein, Type is the corresponding data collecting instrument types of the regular R, and Rule is R specific judgment rule, and Output is
The analysis result of the regular R outputs；
Output=T (i), P (i), Tag (i) | 1≤i≤K, i ∈ Z },
Wherein, K is the entry number of analysis result, and each entry specifies the probability of a component malfunction, and Z is integer
Collection；T (i) is unit type；P (i) is the probability broken down in the part future, if the part has occurred and that failure, should
Probability is 1；Tag (i) is whether manufacturer's mark, the i.e. part of the type are that lay down a regulation R manufacturer is produced, if
It is, then Tag (i)=1, if it is not, Tag (i)=0.
Further, judged whether to give a warning according to the analysis result of step 6, including：
(6.1) assume for a unit type T, N number of analysis knot answered with the type T-phase has been obtained after analysis
Really, i.e. Outputi={ T, Pi, Tagi, 1≤i≤N；Each PiAnd TagiAll it is to be obtained according to an expert judgments rule analysis
Probability of malfunction and manufacturer mark；
(6.2) if there is a PiEqual to 1, then give a warning immediately, alert unit type T and there occurs failure, sentence
It is disconnected to terminate；Otherwise following step is continued；
(6.3) following final probable value E are calculated, i.e.,：
WhereinW1And W2It is predefined weighted value, and meets W1+W2=1；
(6.4) if E is more than predefined threshold value, give a warning, alerting unit type T will break down.
Further, the connection of the data collecting instrument and high in the clouds data acquisition server is long-range connection, and this remotely connects
Connected WIFI, GRPS, 3G, 4G or satellite interface channel.
Further, the Expert Rules storehouse is the regulation engine for possessing a database, in advance by expert judgments rule
It is stored in the database, the regulation engine takes charge of the explanation these expert judgments rule, according to expert judgments rule to input
Data-message analyzed, then export analysis result.
Further, the warning is included by internet push alert message, or to equipment user and the hand of manufacturer
Machine sends short message.
Further, the data of collection are put and shared on an open platform by high in the clouds data acquisition server, and each manufacturer can
To obtain the data of demand by the open platform.
Beneficial effects of the present invention include：The probability of malfunction with reporting facility is estimated in advance, is given a warning and is started in time
Troubleshooting, reduces the loss of equipment stoppage in transit, and full process automatization is carried out, and facilitates equipment user.
【Brief description of the drawings】
Accompanying drawing described herein be for providing a further understanding of the present invention, constituting the part of the application, but
Inappropriate limitation of the present invention is not constituted, in the accompanying drawings：
Fig. 1 is the system construction drawing that the inventive method is applied.
【Embodiment】
Describe the present invention in detail below in conjunction with accompanying drawing and specific embodiment, illustrative examples therein and say
It is bright to be only used for explaining the present invention but not as a limitation of the invention.
Illustrate the fault diagnosis and alarm method of the present invention using ship as specific embodiment below, referring to accompanying drawing 1, its
Show the specific environment that the inventive method is applied, including multiple ship sensors, ships data Acquisition Instrument, high in the clouds number
According to acquisition server, Message Queuing server, Expert Rules storehouse and open platform.
Based on the embodiment environment, method of the invention is comprised the following steps that：
(1) data of multiple ship sensor timed collections of diverse location ship various aspects on ship are arranged on.
Diverse location of the multiple ship sensor on ship, the different ships data for obtaining, for example
Cylinder pressure of engines, oil pressure, combustion pressure, and outside ocean temperature, ship swing situation etc., so as to detect on ship
The state of all parts and the external environment condition data of vessel motion.Timed collection therein refers to each ship sensor
Data are collected according to identical time interval, for example, collected a data every 1 minute.
(2) the ship sensor is collected after data every time, and collected data all are sent into ships data Acquisition Instrument.
A ships data Acquisition Instrument is also provided with the ship, the data for collecting all ship sensors.The number
It is connected according to Acquisition Instrument with the multiple ship sensor, specific connected mode can use wireless connection or wired connection.Often
Individual ship sensor timed collection data, and transmit data to the ships data Acquisition Instrument.The ships data Acquisition Instrument
Also there is a global unique number, by the unique number, other equipment can recognize the data collecting instrument, and further know
The not other ship.
(3) sensing data of collection is packed in the ships data Acquisition Instrument timing, obtains a sensor data packet,
The sensor data packet is sent into high in the clouds data acquisition server.
The connection of ships data Acquisition Instrument and high in the clouds data acquisition server is long-range connection, for example can by WIFI,
The interface channels such as GRPS, 3G, 4G, satellite, a variety of interface channels can also be used simultaneously.Should also in the sensor data packet
Include the unique number of the ships data Acquisition Instrument.
(4) the high in the clouds data acquisition server receives the sensor data packet, and carries out data solution to the packet
The data that parse are assembled into a data-message according to predefined form, are sent to Message Queuing server by analysis.
Because the data produced by different sensors, different data acquisition instrument are different from, therefore high in the clouds data acquisition takes
Business device serves a parsing and the effect of disposal data herein, and it can recognize it by the unique number of data collecting instrument
The data that it sends then according to the data packet format of known the type, are parsed, finally according to predefined by type
Form assemble again.So, no matter sensor and data collecting instrument are any types, beyond the clouds on data acquisition server all most
A unified data format is formd eventually, to facilitate follow-up processing.
(5) Message Queuing server receives the data-message, so that a data message queue is formd, according to
FIFO principle, data-message is sent to one by one Expert Rules storehouse.
The high in the clouds data acquisition server can have multiple, for example, can set a high in the clouds data acquisition with different regions
Data-message has all been sent to Message Queuing server by server, these high in the clouds data acquisition servers, so as to constitute number
According to message queue.
(6) Expert Rules storehouse is analyzed the data-message received according to predefined expert judgments rule, according to
Analysis result is handled accordingly.
The Expert Rules storehouse is the regulation engine for possessing a database, and expert judgments rule is stored in by system in advance
In the database, expert judgments rule essence is a kind of data judgment rule, and regulation engine takes charge of the explanation these expert judgments rule
Then, the data-message of input is analyzed according to expert judgments rule, then output data analysis result.
Each expert judgments rule is related to a kind of type of data collecting instrument, and regulation engine is taken according in data-message
The data collecting instrument unique number of band, judges data collecting instrument type, read according to data collecting instrument type from database with
The related all expert judgments rule of the type, is analyzed the data-message using these expert judgments rule one by one.
According to a preferred embodiment of the present invention, the analysis result may determine that whether some parts occur on ship
Failure, can also estimate the probability that some parts futures may break down on ship, in the event of failure, or described
Probability is more than predefined threshold value, then sends and alert to ship user, alerted while being sent to related manufacturer.For example,
Whether can judge whether engine there occurs failure in normal range (NR) according to the cylinder pressure of engine, oil pressure, combustion pressure, such as
Fruit be able to may break down all in normal range (NR) according to the deviation situation of these data and expected data to calculate its future
Probability.
Warning transmission can have diversified forms, for example, push alert message by internet, or to user and manufacturer
Mobile phone sends short message etc..User and manufacturer can just start corresponding troubleshooting process after alert message is received.
According to a preferred embodiment of the present invention, the expert judgments rule can be each in ship manufacturer or ship
The manufacturer of individual part is formulated, and each manufacturer can formulate and toward adding new expert judgments rule in Expert Rules storehouse at any time.Often
Bar expert judgments rule has following citation form：
Expert judgments rule R={ Type, Rule, Output }；
Wherein, Type is the corresponding data collecting instrument types of the regular R, and Rule is R specific judgment rule, and Output is
The analysis result of the regular R outputs, specifically, Output form is as follows：
Output=T (i), P (i), Tag (i) | 1≤i≤K, i ∈ Z },
Wherein, K is the entry number of analysis result, and each entry specifies the probability of a component malfunction, and Z is integer
Collection.
T (i) is unit type；P (i) is the probability broken down in the part future, if the part has occurred and that failure,
Then the probability is 1；Tag (i) is whether manufacturer's mark, the i.e. part of the type are that lay down a regulation R manufacturer is produced, such as
It is really, then Tag (i)=1, if it is not, Tag (i)=0.
It is that, in order to distinguish the accuracy of manufacturer's rule, the expert judgments rule that a manufacturer formulates may determine that using Tag
The probability of malfunction of multiple parts, but typically, if the product of manufacturer oneself production, its judged result accuracy compared with
Height, otherwise accuracy is relatively low.
Because every expert judgments rule can export the probability of malfunction of multiple different parts, therefore, the sensor of ship
Data are after the analysis by all expert judgments rule, and each part of ship may obtain multiple different probabilities of malfunction.
The present invention is according to these probabilities of malfunction, and to judge whether to give a warning, specific determination methods step is as follows：
(6.1) assume for a unit type T, N number of analysis knot answered with the type T-phase has been obtained after analysis
Really, i.e. Outputi={ T, Pi, Tagi, 1≤i≤N.Each PiAnd TagiAll it is to be obtained according to an expert judgments rule analysis
Probability of malfunction and manufacturer mark；
(6.2) if there is a PiEqual to 1, then give a warning immediately, alert unit type T and there occurs failure, sentence
It is disconnected to terminate；Otherwise following step is continued；
(6.3) following final probable value E are calculated, i.e.,：
WhereinW1And W2It is predefined weighted value, i.e. W1It is unit type T factory
The weighted value of business, W2It is the weighted value of other manufacturers, and meets W1+W2=1.
By above-mentioned formula, T production firm and nonproductive manufacturer have different judgement weighted values, the meter of probability of malfunction
Consider the judgement of both types manufacturer, improve the reliability of judgement.Specific weighted value can be by system pipes
Reason person is set according to demand, it is preferred that W1=0.7, W2=0.3.
(6.4) if E is more than predefined threshold value, give a warning, alerting unit type T will break down.
Specific threshold value can according to demand be set by system manager, and threshold value is lower, and the susceptibility of system is higher, still
The probability of false alarm can also increase；Threshold value is higher, and susceptibility is lower, but the possibility for omitting alarm is also higher.It is preferred that, should
Threshold value is 0.85.
Present invention also offers an open platform, the data of collection are placed on open platform by high in the clouds data acquisition server
Upper shared, each manufacturer can obtain the data of demand by the open platform, carry out routine analysis and research.
Described above is only the better embodiment of the present invention, therefore all constructions according to described in present patent application scope,
The equivalent change or modification that feature and principle are done, is included in the range of present patent application.
Claims (10)
1. a kind of fault diagnosis and alarm method, it is characterised in that this method comprises the following steps:
(1) data of multiple sensor timed collection equipment various aspects of diverse location in equipment are arranged on；
(2) sensor is collected after data every time, and collected data all are sent into data collecting instrument.
(3) sensing data of collection is packed in the data collecting instrument timing, obtains a sensor data packet, this is sensed
Device packet sends high in the clouds data acquisition server；
(4) the high in the clouds data acquisition server receives the sensor data packet, and carries out data parsing to the packet, right
The data parsed are assembled into a data-message according to predefined form, are sent to Message Queuing server；
(5) Message Queuing server receives the data-message, so that a data message queue is formd, according to FIFO
Principle, data-message is sent to Expert Rules storehouse one by one；
(6) Expert Rules storehouse is analyzed the data-message received according to predefined expert judgments rule, according to analysis
As a result handled accordingly.
2. fault diagnosis according to claim 1 and alarm method, it is characterised in that the data collecting instrument has one
Global unique number, the sensor data packet includes the unique number.
3. fault diagnosis according to claim 2 and alarm method, it is characterised in that the high in the clouds data acquisition server
By the unique number identification data Acquisition Instrument type carried in packet, then according to the packet of known the type
Form, is parsed to the packet.
4. fault diagnosis according to claim 3 and alarm method, it is characterised in that each expert judgments rule and one
The type for planting data collecting instrument is related, and Expert Rules storehouse judges according to the data collecting instrument unique number carried in data-message
Data collecting instrument type, all expert judgments rule related to the type are read according to data collecting instrument type from database
Then, the data-message is analyzed using these expert judgments rule one by one.
5. fault diagnosis according to claim 4 and alarm method, it is characterised in that every expert judgments rule have with
Lower citation form：
Expert judgments rule R={ Type, Rule, Output }；
Wherein, Type is the corresponding data collecting instrument types of the regular R, and Rule is R specific judgment rule, and Output is the rule
The analysis result that then R is exported；
Output=T (i), P (i), Tag (i) | 1≤i≤K, i ∈ Z },
Wherein, K is the entry number of analysis result, and each entry specifies the probability of a component malfunction, and Z is set of integers；T
(i) it is unit type；P (i) is the probability broken down in the part future, if the part has occurred and that failure, the probability
For 1；Tag (i) is whether manufacturer's mark, the i.e. part of the type are that lay down a regulation R manufacturer is produced, if it is,
Tag (i)=1, if it is not, Tag (i)=0.
6. fault diagnosis according to claim 5 and alarm method, it is characterised in that according to the analysis result of step 6 come
Judge whether to give a warning, including：
(6.1) assume for a unit type T, N number of analysis result answered with the type T-phase has been obtained after analysis, i.e.,
Outputi={ T, Pi, Tagi, 1≤i≤N；Each PiAnd TagiAll it is the failure obtained according to an expert judgments rule analysis
Probability and manufacturer's mark；
(6.2) if there is a PiEqual to 1, then give a warning immediately, alert unit type T and there occurs failure, judge knot
Beam；Otherwise following step is continued；
(6.3) following final probable value E are calculated, i.e.,：
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WhereinW1And W2It is predefined weighted value, and meets W1+W2=1；
(6.4) if E is more than predefined threshold value, give a warning, alerting unit type T will break down.
7. fault diagnosis and alarm method according to claim 1-6 any one, it is characterised in that the data acquisition
The connection of instrument and high in the clouds data acquisition server is long-range connection, and this remotely connects through WIFI, GRPS, 3G, 4G or satellite
Interface channel.
8. fault diagnosis and alarm method according to claim 1-7 any one, it is characterised in that the Expert Rules
Storehouse is the regulation engine for possessing a database, and expert judgments rule is stored in the database in advance, the regulation engine
These expert judgments rule is taken charge of the explanation, the data-message of input is analyzed according to expert judgments rule, then export analysis
As a result.
9. fault diagnosis according to claim 6 and alarm method, it is characterised in that the warning includes passing through internet
Alert message is pushed, or short message is sent to the mobile phone of equipment user and manufacturer.
10. fault diagnosis according to claim 1 and alarm method, it is characterised in that the high in the clouds data acquisition service
Device puts the data of collection to be shared on an open platform, and each manufacturer can obtain the data of demand by the open platform.
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| CN107065605A true CN107065605A (en) | 2017-08-18 |
| CN107065605B CN107065605B (en) | 2019-03-22 |
Family
ID=59598552
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110535710A (en) * | 2019-09-09 | 2019-12-03 | 锐捷网络股份有限公司 | Remote diagnosis method and system, the network equipment and Cloud Server of the network equipment |
| CN111736571A (en) * | 2020-06-16 | 2020-10-02 | 深圳科瑞技术股份有限公司 | Fault diagnosis system and method, and storage medium |
| CN112731827A (en) * | 2020-12-11 | 2021-04-30 | 国网宁夏电力有限公司吴忠供电公司 | Monitoring system for intelligent sensor for power equipment |
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| JP5115507B2 (en) * | 2009-03-23 | 2013-01-09 | トヨタ自動車株式会社 | In-cylinder pressure sensor failure diagnosis device |
| CN103472802A (en) * | 2013-09-13 | 2013-12-25 | 同济大学 | Wind generating set intelligent condition monitoring terminal and data processing method thereof |
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| CN110535710A (en) * | 2019-09-09 | 2019-12-03 | 锐捷网络股份有限公司 | Remote diagnosis method and system, the network equipment and Cloud Server of the network equipment |
| CN111736571A (en) * | 2020-06-16 | 2020-10-02 | 深圳科瑞技术股份有限公司 | Fault diagnosis system and method, and storage medium |
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