CN108827382A - fault diagnosis method, device and system - Google Patents
fault diagnosis method, device and system Download PDFInfo
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- CN108827382A CN108827382A CN201810608031.3A CN201810608031A CN108827382A CN 108827382 A CN108827382 A CN 108827382A CN 201810608031 A CN201810608031 A CN 201810608031A CN 108827382 A CN108827382 A CN 108827382A
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- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003745 diagnosis Methods 0.000 title claims abstract description 39
- 238000012544 monitoring process Methods 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims description 44
- 238000010801 machine learning Methods 0.000 claims description 16
- 238000003860 storage Methods 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 abstract description 8
- 238000012423 maintenance Methods 0.000 description 64
- 238000004378 air conditioning Methods 0.000 description 18
- 238000004891 communication Methods 0.000 description 13
- 230000008901 benefit Effects 0.000 description 10
- 230000002159 abnormal effect Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 8
- 230000015556 catabolic process Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 230000004888 barrier function Effects 0.000 description 5
- 239000000428 dust Substances 0.000 description 5
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- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 4
- 235000003140 Panax quinquefolius Nutrition 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 4
- 238000003066 decision tree Methods 0.000 description 4
- 230000006866 deterioration Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 235000008434 ginseng Nutrition 0.000 description 4
- 230000000737 periodic effect Effects 0.000 description 4
- 230000008439 repair process Effects 0.000 description 4
- 238000004092 self-diagnosis Methods 0.000 description 4
- 238000005406 washing Methods 0.000 description 4
- 238000009826 distribution Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000012141 concentrate Substances 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 230000006837 decompression Effects 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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Abstract
The invention relates to a fault diagnosis method, a device and a system, wherein the method comprises the following steps: acquiring monitoring data of monitored equipment; and diagnosing the fault of the monitored equipment according to the monitoring data. According to the technical scheme provided by the invention, the fault of the monitored equipment is diagnosed by acquiring the monitoring data of the monitored equipment, so that a manufacturer can actively position the fault in time, and compared with the method for passively acquiring fault information in the related technology, the fault diagnosis efficiency and accuracy are improved, and the user experience is high.
Description
Technical field
The present invention relates to fault diagnosis technology fields, and in particular to a kind of method for diagnosing faults, apparatus and system.
Background technique
With universal, the household electrical appliance also more and more intelligent and networking, currently, with people's life water of communication network
Flat raising, household electrical appliance are widely used in a variety of applications, but household electrical appliances breakdown maintenance still use " user reports for repairment, manufacturer's customer service group
The after-sale service mode of this passive type of hair work order, manufacturer's maintenance staff's on-site maintenance ".The artificial fault diagnosis of this passive type
The shortcomings that method, is：Manufacturer's human input is big, and maintenance cost is high；And due to the ability of language expression of user and to household electric
The familiarity of device is different, when troublshooting, can describe not knowing guilty culprit, alternatively, having omission to failure-description, lead to maintenance
When personnel's on-site maintenance, correct maintenance tool cannot be carried, causes maintenance staff repeatedly to repair back and forth, this not only influences user
Maintenance satisfaction, also maintenance staff can be allowed to have to run around all the time wears him out, suffer untold misery.
In addition, for industrial electrical equipment, for example, Central air-conditioning unit, industry new blower, dust remover in workshop etc., according to existing
There is the artificial method for diagnosing faults of this passive type, efficiency of fault diagnosis is low, if the delay normal industrial production of client, can also give
Client brings loss, and user experience is bad.
Summary of the invention
To be overcome the problems, such as present in the relevant technologies at least to a certain extent, the present invention provides method for diagnosing faults, dress
It sets and system.
According to a first aspect of the embodiments of the present invention, a kind of method for diagnosing faults is provided, including：
Obtain the monitored data of monitored equipment；
According to the monitored data, the failure of monitored equipment is diagnosed.
Preferably, the method further includes：
The fault message being diagnosed to be is sent to intelligent terminal.
Preferably, the monitored data for obtaining monitored equipment, including：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
Preferably, described according to the monitored data, the failure of monitored equipment is diagnosed, specially：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
Preferably, the fault message that will be diagnosed to be is sent to intelligent terminal, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
Preferably, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is to have sent out by failure
Raw severity sequence is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is by failure predication
The risk class sequence that can occur is sent.
Preferably, the fault message that will be diagnosed to be is sent to intelligent terminal, passes through at least one of following form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
According to a second aspect of the embodiments of the present invention, a kind of fault diagnosis system is provided, including：
Interface server, for obtaining the monitored data of monitored equipment；
Hadoop cluster server, for diagnosing the failure of monitored equipment according to the monitored data.
Preferably, the Hadoop cluster server, is also used to：The fault message being diagnosed to be is sent to intelligent terminal.
Preferably, the Hadoop cluster server includes：Management node and memory node, wherein
The memory node, for according to the monitored data, the failure of the monitored equipment of diagnosis, and the event that will be diagnosed to be
Barrier information is sent to intelligent terminal；
The management node, for storing the monitored data in the storage location of the memory node.
Preferably, the Hadoop cluster server diagnoses the failure of monitored equipment, specifically according to the monitored data
For：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
Preferably, the interface server obtains the monitored data of monitored equipment, specially：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the Hadoop cluster server, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
Preferably, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is by the serious of failure
The priority ranking of degree is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is may by failure
The risk class that can occur is sent.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the Hadoop cluster server, by following
At least one of form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
According to a third aspect of the embodiments of the present invention, a kind of trouble-shooter is provided, including：
Acquiring unit, for obtaining the monitored data of monitored equipment；
Diagnosis unit, for diagnosing the failure of monitored equipment according to the monitored data.
Preferably, described device further includes：
Transmission unit, for the fault message being diagnosed to be to be sent to intelligent terminal.
The technical solution that the embodiment of the present invention provides can include the following benefits：
By obtaining the monitored data of monitored equipment, the failure of monitored equipment is diagnosed, manufacturer is led in time
Orient guilty culprit dynamicly, compared to fault message is passively obtained in the related technology, improve fault diagnosis efficiency and
Accuracy rate, user experience are high.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is a kind of flow chart of method for diagnosing faults shown according to an exemplary embodiment；
Fig. 2 is a kind of flow chart of the method for diagnosing faults shown according to another exemplary embodiment；
Fig. 3 is a kind of schematic block diagram of fault diagnosis system shown according to an exemplary embodiment；
Fig. 4 is a kind of schematic block diagram of the fault diagnosis system shown according to another exemplary embodiment；
Fig. 5 is a kind of schematic block diagram of trouble-shooter shown according to an exemplary embodiment；
Fig. 6 is a kind of schematic block diagram of the trouble-shooter shown according to another exemplary embodiment.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistented with the present invention.On the contrary, they be only with it is such as appended
The example of device and method being described in detail in claims, some aspects of the invention are consistent.
Fig. 1 is a kind of flow chart of method for diagnosing faults shown according to an exemplary embodiment, as shown in Figure 1, the party
Method includes the following steps：
Step S11, the monitored data of monitored equipment is obtained；
Step S12, according to the monitored data, the failure of monitored equipment is diagnosed.
It should be noted that the monitored equipment includes：Industrial equipment and housed device, wherein the industrial equipment
Including but not limited to：Central air-conditioning, industry new blower, dust remover in workshop etc.；The housed device includes but is not limited to：Air-conditioning,
Refrigerator, washing machine, air purifier etc..
The monitored data includes but is not limited to：Default setting parameter, running state parameter and ambient condition parameter.Its
In, the running state parameter includes but is not limited to：Available machine time, booting duration, unused time, shutdown duration, failure occur
Time, fault type, fault parameter warning message etc.；The ambient condition parameter includes but is not limited to：Temperature parameter, humidity ginseng
Number, wind speed parameter etc..
The monitored data of monitored equipment is obtained in the step S11, can be obtained and be supervised for mode by wireless communication
Listen the monitored data of equipment, or the monitored data of monitored equipment is obtained by wired communication mode.For example, Gree is raw
When the Central air-conditioning unit factory of production all can standard configuration GPRS data acquisition module, the GPRS data acquisition module connects in central hollow
On the communication bus for adjusting unit, the long-range monitoring for Central air-conditioning unit.In this case, obtaining in the step S11
Take the monitored data of monitored equipment, so that it may obtain monitored data in such a way that GPRS data acquisition module transmits wirelessly.
For another example manufacturer can provide service in factory, in such case for some clients for purchasing in quantity industrial equipment
Under, monitored set can be directly acquired in stayed factory's deployment services device, by the wired connection of server and monitored equipment
Standby monitored data.
It should be noted that this method for diagnosing faults provided in this embodiment, can both be deployed in monitored equipment,
It can also dispose on the server.
If be deployed in monitored equipment, monitored equipment is equivalent to fault self-diagnosis function, manufacturer's failure dimension
When repairing, it is no longer necessary to manually carry out fault location, can directly be repaired according to monitored equipment fault self diagnosis result.This
The advantages of kind method, is that it is possible to improve efficiency of fault diagnosis, and manufacturer does not need deployment storage resource and carries out data storage, manufacturer
Backstage hardware input cost is low；It is reported the disadvantage is that, user is needed manually to carry out failure, manufacturer, which can not concentrate, realizes failure prison
Control.
If this method for diagnosing faults provided in this embodiment, dispose on the server, the advantage is that manufacturer administrator
Member can recognize the fault condition of each monitored equipment by server centered, arrange maintenance staff to repair in time, factory
The long-range monitoring to the concentration of monitored equipment may be implemented in quotient, and fault diagnosis and maintenance efficiency are all high, and it is full to can be improved user
Meaning degree；The disadvantage is that, manufacturer, which needs enough memory spaces, carries out fault message storage, hardware input cost is high.
It should be noted that this method for diagnosing faults provided in this embodiment is examined if be deployed in monitored equipment
Disconnected fault message out can be by reporting of user to manufacturer, and manufacturer repairs the distribution of task again.If being deployed in service
On device, manufacturer can directly acquire the fault message being diagnosed to be and carry out the distribution of maintenance task, for example, passing through phone to maintenance
Personnel assignment maintenance task, by sending fault message, distribution maintenance task etc. to the intelligent terminal of maintenance staff.It is diagnosed to be
How fault message is applied to breakdown maintenance service, and manufacturer can according to need carry out flexible setting.
Technical solution provided in this embodiment diagnoses monitored equipment by obtaining the monitored data of monitored equipment
Failure allows manufacturer initiatively to orient guilty culprit in time, compared to passively obtaining fault message in the related technology,
The efficiency and accuracy rate of fault diagnosis are improved, user experience is high.
Preferably, the monitored data for obtaining monitored equipment, including：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
It should be noted that this method for diagnosing faults provided by the invention, either real-time reception is monitored equipment
Monitored data the case where (corresponding monitored equipment sending monitored data in real time), being also possible to the period receives monitored equipment
Monitored data (the case where corresponding monitored equipment periodic sends monitored data).It both can the online monitored equipment hair of real-time reception
The monitored data sent can also read the monitored data for the monitored equipment being locally stored under off-line state.It is arranged in this way
Benefit is to have not occurred failure when last moment is monitored equipment, but current time breaks down, and can not network with server
When, it is ensured that server carries out fault diagnosis according to the off-line data that last moment stores, it is ensured that system worked well improves
System stability.
Preferably, described according to the monitored data, the failure of monitored equipment is diagnosed, specially：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
It should be noted that the failure of monitored equipment is diagnosed, either diagnosing the event that monitored equipment has occurred and that
Barrier, is also possible to diagnose the nonevent failure of monitored equipment, i.e. progress failure occurrence risk early warning.The preset engineering
Practising algorithm includes but is not limited to：Cluster algorithm, artificial neural network algorithm, decision tree etc..
It is understood that carrying out fault diagnosis by preset machine learning algorithm, the failure of monitored equipment is obtained
Prediction and diagnostic message, it can be determined that be monitored whether equipment is in abnormal operation, the position of abnormal components, state out
The development trend etc. of deterioration improves user experience to realize that look-ahead alerts.
Preferably, the method further includes：
The fault message being diagnosed to be is sent to intelligent terminal.
It is understood that the fault message being diagnosed to be can both be sent to the intelligent terminal of maintenance staff, can also send out
The intelligent terminal of user is given, the intelligent terminal of maintenance staff can also be simply sent to, sending method can be according to manufacturer's needs
It is configured.The fault message being diagnosed to be is sent to intelligent terminal, maintenance staff can be made to understand in time by intelligent terminal
It to fault message, visits solve failure problems in time, improve user satisfaction.
Preferably, the fault message that will be diagnosed to be is sent to intelligent terminal, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
Preferably, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is to have sent out by failure
Raw severity sequence is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is by failure predication
The risk class sequence that can occur is sent.
It is understood that sending rule by formulating fault message, intelligent terminal user, such as maintenance people can be made
Member, is preferably concerned about critical failure information urgently to be resolved, can remind maintenance staff preferentially solve fault degree it is high or
The high failure of risk class, can be improved breakdown maintenance efficiency and user satisfaction.
Preferably, the fault message that will be diagnosed to be is sent to intelligent terminal, passes through at least one of following form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
It is understood that can ensure intelligent terminal user, such as maintenance using various faults information sender formula
Personnel are preferably concerned about fault message using receiving party's formula that oneself is accustomed to.
Technical solution provided in this embodiment is examined by failure of the preset machine learning algorithm to monitored equipment
It is disconnected, and diagnostic result is informed by maintenance staff by intelligent terminal in time, not only maintenance staff is enable accurately to recognize failure
Information saves artificial fault location link, additionally it is possible to and so that maintenance staff is carried out maintenance of visiting in time, reduces user's loss,
Improve satisfaction after sale.
Fig. 2 is a kind of flow chart of the method for diagnosing faults shown according to another exemplary embodiment, as shown in Fig. 2, should
Method includes the following steps：
Step S21, the monitored data of monitored equipment is obtained.
It should be noted that the monitored equipment includes：Industrial equipment and housed device, wherein the industrial equipment
Including but not limited to：Central air-conditioning, industry new blower, dust remover in workshop etc.；The housed device includes but is not limited to：Air-conditioning,
Refrigerator, washing machine, air purifier etc..
The monitored data includes but is not limited to：Default setting parameter, running state parameter and ambient condition parameter.Its
In, the running state parameter includes but is not limited to：Available machine time, booting duration, unused time, shutdown duration, failure occur
Time, fault type, fault parameter warning message etc.；The ambient condition parameter includes but is not limited to：Temperature parameter, humidity ginseng
Number, wind speed parameter etc..
The monitored data of monitored equipment is obtained in the step S21, can be obtained and be supervised for mode by wireless communication
Listen the monitored data of equipment, or the monitored data of monitored equipment is obtained by wired communication mode.For example, Gree is raw
When the Central air-conditioning unit factory of production all can standard configuration GPRS data acquisition module, the GPRS data acquisition module connects in central hollow
On the communication bus for adjusting unit, the long-range monitoring for Central air-conditioning unit.In this case, obtaining in the step S21
Take the monitored data of monitored equipment, so that it may obtain monitored data in such a way that GPRS data acquisition module transmits wirelessly.
For another example manufacturer can provide service in factory, in such case for some clients for purchasing in quantity industrial equipment
Under, monitored set can be directly acquired in stayed factory's deployment services device, by the wired connection of server and monitored equipment
Standby monitored data.
Preferably, the monitored data for obtaining monitored equipment, including：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
It should be noted that this method for diagnosing faults provided by the invention, either real-time reception is monitored equipment
Monitored data the case where (corresponding monitored equipment sending monitored data in real time), being also possible to the period receives monitored equipment
Monitored data (the case where corresponding monitored equipment periodic sends monitored data).It both can the online monitored equipment hair of real-time reception
The monitored data sent can also read the monitored data for the monitored equipment being locally stored under off-line state.It is arranged in this way
Benefit is to have not occurred failure when last moment is monitored equipment, but current time breaks down, and can not network with server
When, it is ensured that server carries out fault diagnosis according to the off-line data that last moment stores, it is ensured that system worked well improves
System stability.
Step S22, the monitored data is analyzed using preset machine learning algorithm, diagnoses monitored equipment
Failure.
It should be noted that the failure of monitored equipment is diagnosed, either diagnosing the event that monitored equipment has occurred and that
Barrier, is also possible to diagnose the nonevent failure of monitored equipment, i.e. progress failure occurrence risk early warning.The preset engineering
Practising algorithm includes but is not limited to：Cluster algorithm, artificial neural network algorithm, decision tree etc..
It is understood that carrying out fault diagnosis by preset machine learning algorithm, the failure of monitored equipment is obtained
Prediction and diagnostic message, it can be determined that be monitored whether equipment is in abnormal operation, the position of abnormal components, state out
The development trend etc. of deterioration improves user experience to realize that look-ahead alerts.
If step S23, the described fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is by event
Hinder the severity sequence having occurred and that be sent；If the fault message shows that failure predication can occur, it is determined that failure
The transmission rule of information is sent for the risk class sequence that can occur by failure predication.
It is understood that sending rule by formulating fault message, intelligent terminal user, such as maintenance people can be made
Member, is preferably concerned about critical failure information urgently to be resolved, can remind maintenance staff preferentially solve fault degree it is high or
The high failure of risk class, can be improved breakdown maintenance efficiency and user satisfaction.
Step S24, the fault message is sent to intelligent terminal by the transmission rule.
It is understood that the fault message being diagnosed to be can both be sent to the intelligent terminal of maintenance staff, can also send out
The intelligent terminal of user is given, the intelligent terminal of maintenance staff can also be simply sent to, sending method can be according to manufacturer's needs
It is configured.The fault message being diagnosed to be is sent to intelligent terminal, maintenance staff can be made to understand in time by intelligent terminal
It to fault message, visits solve failure problems in time, improve user satisfaction.
Preferably, the fault message that will be diagnosed to be is sent to intelligent terminal, passes through at least one of following form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
It is understood that can ensure intelligent terminal user, such as maintenance using various faults information sender formula
Personnel are preferably concerned about fault message using receiving party's formula that oneself is accustomed to.
It should be noted that this method for diagnosing faults provided in this embodiment, can both be deployed in monitored equipment,
It can also dispose on the server.
If be deployed in monitored equipment, monitored equipment is equivalent to fault self-diagnosis function, manufacturer's failure dimension
When repairing, it is no longer necessary to manually carry out fault location, can directly be repaired according to monitored equipment fault self diagnosis result.This
The advantages of kind method, is that it is possible to improve efficiency of fault diagnosis, and manufacturer does not need deployment storage resource and carries out data storage, manufacturer
Backstage hardware input cost is low；It is reported the disadvantage is that, user is needed manually to carry out failure, manufacturer, which can not concentrate, realizes failure prison
Control.
If this method for diagnosing faults provided in this embodiment, dispose on the server, the advantage is that manufacturer administrator
Member can recognize the fault condition of each monitored equipment by server centered, arrange maintenance staff to repair in time, factory
The long-range monitoring to the concentration of monitored equipment may be implemented in quotient, and fault diagnosis and maintenance efficiency are all high, and it is full to can be improved user
Meaning degree；The disadvantage is that, manufacturer, which needs enough memory spaces, carries out fault message storage, hardware input cost is high.
Technical solution provided in this embodiment is examined by failure of the preset machine learning algorithm to monitored equipment
It is disconnected, and diagnostic result is informed by maintenance staff by intelligent terminal in time, not only maintenance staff is enable accurately to recognize failure
Information saves artificial fault location link, additionally it is possible to and so that maintenance staff is carried out maintenance of visiting in time, reduces user's loss,
Improve satisfaction after sale.
Fig. 3 is a kind of schematic block diagram of the fault diagnosis system 100 shown according to another exemplary embodiment, such as Fig. 3 institute
Show, which includes：
Interface server 101, for obtaining the monitored data of monitored equipment；
Hadoop cluster server 102, for diagnosing the failure of monitored equipment according to the monitored data.
Optionally, after interface server 101 obtains monitored data, data deciphering, decompression are carried out, after parsing, using disappearing
Middleware kafka and flume component is ceased, the data after parsing are sent to Hadoop cluster server, data warehouse is arrived in storage
In.
It should be noted that the monitored equipment includes：Industrial equipment and housed device, wherein the industrial equipment
Including but not limited to：Central air-conditioning, industry new blower, dust remover in workshop etc.；The housed device includes but is not limited to：Air-conditioning,
Refrigerator, washing machine, air purifier etc..
The monitored data includes but is not limited to：Default setting parameter, running state parameter and ambient condition parameter.Its
In, the running state parameter includes but is not limited to：Available machine time, booting duration, unused time, shutdown duration, failure occur
Time, fault type, fault parameter warning message etc.；The ambient condition parameter includes but is not limited to：Temperature parameter, humidity ginseng
Number, wind speed parameter etc..
Interface server 101 obtains the monitored data of monitored equipment, can obtain and be supervised for mode by wireless communication
Listen the monitored data of equipment, or the monitored data of monitored equipment is obtained by wired communication mode.For example, Gree is raw
When the Central air-conditioning unit factory of production all can standard configuration GPRS data acquisition module, the GPRS data acquisition module connects in central hollow
On the communication bus for adjusting unit, the long-range monitoring for Central air-conditioning unit.In this case, interface server 101 can
Monitored data is obtained in a manner of transmitting wirelessly by GPRS data acquisition module.
It is understood that since the monitored data quantity received is big, and between each other, relevance is strong, if therefore in failure
The data that diagnosis link discovery receives are unavailable, and operation is easy to cause to collapse, so setting interface server and Hadoop collection
The respective independent work of group's server, interface server is responsible for receiving monitored data, and is by the monitored data received processing
After Hadoop cluster server available formats, be transmitted to Hadoop cluster server, it is ensured that fault diagnostic program it is normal
Operation, meanwhile, the reception of monitored data does not influence the diagnosis of failure, and system performance is more excellent, and framework is more stable.
Technical solution provided in this embodiment diagnoses monitored equipment by obtaining the monitored data of monitored equipment
Failure allows manufacturer initiatively to orient guilty culprit in time, compared to passively obtaining fault message in the related technology,
The efficiency and accuracy rate of fault diagnosis are improved, user experience is high.
Referring to fig. 4, it is preferable that the Hadoop cluster server 102 includes：Management node 1021 and memory node
1022, wherein
The memory node 1022 for diagnosing the failure of monitored equipment according to the monitored data, and will be diagnosed to be
Fault message be sent to intelligent terminal；
The management node 1021, for storing the monitored data in the storage location of the memory node 1022.
It should be noted that the management node and memory node can be according to the data volumes of the monitored data got
Size is set as multiple, for example, management node is set as 2, memory node is set as 13 etc..Hadoop cluster server
This distributed frame, it is ensured that huge monitored data is quickly obtained place by the more memory nodes run parallel
Reason, efficiently diagnosis is out of order, and improves system response time, reduces period of reservation of number, improves user satisfaction.
Preferably, the interface server 101 obtains the monitored data of monitored equipment, specially：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
It should be noted that this fault diagnosis system provided by the invention, either real-time reception is monitored equipment
Monitored data the case where (corresponding monitored equipment sending monitored data in real time), being also possible to the period receives monitored equipment
Monitored data (the case where corresponding monitored equipment periodic sends monitored data).It both can the online monitored equipment hair of real-time reception
The monitored data sent can also read the monitored data for the monitored equipment being locally stored under off-line state.It is arranged in this way
Benefit is to have not occurred failure when last moment is monitored equipment, but current time breaks down, and can not network with server
When, it is ensured that server carries out fault diagnosis according to the off-line data that last moment stores, it is ensured that system worked well improves
System stability.
Preferably, the Hadoop cluster server 102 diagnoses the failure of monitored equipment according to the monitored data,
Specially：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
It should be noted that the failure of monitored equipment is diagnosed, either diagnosing the event that monitored equipment has occurred and that
Barrier, is also possible to diagnose the nonevent failure of monitored equipment, i.e. progress failure occurrence risk early warning.The preset engineering
Practising algorithm includes but is not limited to：Cluster algorithm, artificial neural network algorithm, decision tree etc..
It is understood that carrying out fault diagnosis by preset machine learning algorithm, the failure of monitored equipment is obtained
Prediction and diagnostic message, it can be determined that be monitored whether equipment is in abnormal operation, the position of abnormal components, state out
The development trend etc. of deterioration improves user experience to realize that look-ahead alerts.
Preferably, the Hadoop cluster server 102, is also used to：The fault message being diagnosed to be is sent to intelligent end
End.
It is understood that the fault message being diagnosed to be can both be sent to the intelligent terminal of maintenance staff, can also send out
The intelligent terminal of user is given, the intelligent terminal of maintenance staff can also be simply sent to, sending method can be according to manufacturer's needs
It is configured.The fault message being diagnosed to be is sent to intelligent terminal, maintenance staff can be made to understand in time by intelligent terminal
It to fault message, visits solve failure problems in time, improve user satisfaction.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the Hadoop cluster server 102, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
Preferably, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is by the serious of failure
The priority ranking of degree is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is may by failure
The risk class that can occur is sent.
It is understood that sending rule by formulating fault message, intelligent terminal user, such as maintenance people can be made
Member, is preferably concerned about critical failure information urgently to be resolved, can remind maintenance staff preferentially solve fault degree it is high or
The high failure of risk class, can be improved breakdown maintenance efficiency and user satisfaction.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the Hadoop cluster server 102, by with
At least one of lower form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
It is understood that can ensure intelligent terminal user, such as maintenance using various faults information sender formula
Personnel are preferably concerned about fault message using receiving party's formula that oneself is accustomed to.
Technical solution provided in this embodiment is examined by failure of the preset machine learning algorithm to monitored equipment
It is disconnected, and diagnostic result is informed by maintenance staff by intelligent terminal in time, not only maintenance staff is enable accurately to recognize failure
Information saves artificial fault location link, additionally it is possible to and so that maintenance staff is carried out maintenance of visiting in time, reduces user's loss,
Improve satisfaction after sale.
Fig. 5 is a kind of schematic block diagram of trouble-shooter 200 shown according to an exemplary embodiment.It, should referring to Fig. 5
Device 200 includes：
Acquiring unit 201, for obtaining the monitored data of monitored equipment；
Diagnosis unit 202, for diagnosing the failure of monitored equipment according to the monitored data.
It should be noted that after acquiring unit 201 obtains monitored data, after carrying out data deciphering, decompression, parsing, benefit
With message-oriented middleware kafka and flume component, the data after parsing are sent to Hadoop cluster server, data are arrived in storage
In warehouse.
It should be noted that the monitored equipment includes：Industrial equipment and housed device, wherein the industrial equipment
Including but not limited to：Central air-conditioning, industry new blower, dust remover in workshop etc.；The housed device includes but is not limited to：Air-conditioning,
Refrigerator, washing machine, air purifier etc..
The monitored data includes but is not limited to：Default setting parameter, running state parameter and ambient condition parameter.Its
In, the running state parameter includes but is not limited to：Available machine time, booting duration, unused time, shutdown duration, failure occur
Time, fault type, fault parameter warning message etc.；The ambient condition parameter includes but is not limited to：Temperature parameter, humidity ginseng
Number, wind speed parameter etc..
Acquiring unit 201 obtains the monitored data of monitored equipment, can obtain for mode by wireless communication monitored
The monitored data of equipment, or the monitored data of monitored equipment is obtained by wired communication mode.For example, Gree produces
Central air-conditioning unit factory when all can standard configuration GPRS data acquisition module, the GPRS data acquisition module connects in central air-conditioning
Long-range monitoring on the communication bus of unit, for Central air-conditioning unit.In this case, acquiring unit 201 can lead to
The mode for crossing GPRS data acquisition module wireless transmission obtains monitored data.
Technical solution provided in this embodiment diagnoses monitored equipment by obtaining the monitored data of monitored equipment
Failure allows manufacturer initiatively to orient guilty culprit in time, compared to passively obtaining fault message in the related technology,
The efficiency and accuracy rate of fault diagnosis are improved, user experience is high.
Preferably, the acquiring unit 201 obtains the monitored data of monitored equipment, specially：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored what equipment was sent
Monitored data.
It should be noted that this fault diagnosis system provided by the invention, either real-time reception is monitored equipment
Monitored data the case where (corresponding monitored equipment sending monitored data in real time), being also possible to the period receives monitored equipment
Monitored data (the case where corresponding monitored equipment periodic sends monitored data).It both can the online monitored equipment hair of real-time reception
The monitored data sent can also read the monitored data for the monitored equipment being locally stored under off-line state.It is arranged in this way
Benefit is to have not occurred failure when last moment is monitored equipment, but current time breaks down, and can not network with server
When, it is ensured that server carries out fault diagnosis according to the off-line data that last moment stores, it is ensured that system worked well improves
System stability.
Preferably, the diagnosis unit 202 diagnoses the failure of monitored equipment, specially according to the monitored data：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
It should be noted that the failure of monitored equipment is diagnosed, either diagnosing the event that monitored equipment has occurred and that
Barrier, is also possible to diagnose the nonevent failure of monitored equipment, i.e. progress failure occurrence risk early warning.The preset engineering
Practising algorithm includes but is not limited to：Cluster algorithm, artificial neural network algorithm, decision tree etc..
It is understood that carrying out fault diagnosis by preset machine learning algorithm, the failure of monitored equipment is obtained
Prediction and diagnostic message, it can be determined that be monitored whether equipment is in abnormal operation, the position of abnormal components, state out
The development trend etc. of deterioration improves user experience to realize that look-ahead alerts.
Referring to Fig. 6, it is preferable that described device 200 further includes：
Transmission unit 203, for the fault message being diagnosed to be to be sent to intelligent terminal.
It is understood that the fault message being diagnosed to be can both be sent to the intelligent terminal of maintenance staff, can also send out
The intelligent terminal of user is given, the intelligent terminal of maintenance staff can also be simply sent to, sending method can be according to manufacturer's needs
It is configured.The fault message being diagnosed to be is sent to intelligent terminal, maintenance staff can be made to understand in time by intelligent terminal
It to fault message, visits solve failure problems in time, improve user satisfaction.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the transmission unit 203, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
Preferably, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is by the serious of failure
The priority ranking of degree is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is may by failure
The risk class that can occur is sent.
It is understood that sending rule by formulating fault message, intelligent terminal user, such as maintenance people can be made
Member, is preferably concerned about critical failure information urgently to be resolved, can remind maintenance staff preferentially solve fault degree it is high or
The high failure of risk class, can be improved breakdown maintenance efficiency and user satisfaction.
Preferably, the fault message being diagnosed to be is sent to intelligent terminal by the transmission unit 203, by following form
At least one：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
It is understood that can ensure intelligent terminal user, such as maintenance using various faults information sender formula
Personnel are preferably concerned about fault message using receiving party's formula that oneself is accustomed to.
Technical solution provided in this embodiment is examined by failure of the preset machine learning algorithm to monitored equipment
It is disconnected, and diagnostic result is informed by maintenance staff by intelligent terminal in time, not only maintenance staff is enable accurately to recognize failure
Information saves artificial fault location link, additionally it is possible to and so that maintenance staff is carried out maintenance of visiting in time, reduces user's loss,
Improve satisfaction after sale.
It is understood that same or similar part can mutually refer in the various embodiments described above, in some embodiments
Unspecified content may refer to the same or similar content in other embodiments.
It should be noted that in the description of the present invention, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
Refer at least two.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized：With for realizing the logic gates of logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (17)
1. a kind of method for diagnosing faults, which is characterized in that including：
Obtain the monitored data of monitored equipment；
According to the monitored data, the failure of monitored equipment is diagnosed.
2. the method according to claim 1, wherein further including：
The fault message being diagnosed to be is sent to intelligent terminal.
3. the method according to claim 1, wherein the monitored data for obtaining monitored equipment, including：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored the monitoring that equipment is sent
Data.
4. the method according to claim 1, wherein described according to the monitored data, the monitored equipment of diagnosis
Failure, specially：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
5. according to the method described in claim 2, it is characterized in that, the fault message that will be diagnosed to be is sent to intelligent end
End, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
6. according to the method described in claim 5, it is characterized in that, the determining fault message transmission rule, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is had occurred and that by failure
Severity sequence is sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is that can send out by failure predication
Raw risk class sequence is sent.
7. according to the method described in claim 2, it is characterized in that, the fault message that will be diagnosed to be is sent to intelligent end
End, passes through at least one of following form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
8. a kind of fault diagnosis system, which is characterized in that including：
Interface server, for obtaining the monitored data of monitored equipment；
Hadoop cluster server, for diagnosing the failure of monitored equipment according to the monitored data.
9. system according to claim 8, which is characterized in that the Hadoop cluster server is also used to：It will be diagnosed to be
Fault message be sent to intelligent terminal.
10. system according to claim 9, which is characterized in that the Hadoop cluster server includes：Management node and
Memory node, wherein
The memory node for diagnosing the failure of monitored equipment according to the monitored data, and the failure being diagnosed to be is believed
Breath is sent to intelligent terminal；
The management node, for storing the monitored data in the storage location of the memory node.
11. system according to claim 8, which is characterized in that the Hadoop cluster server is according to the monitoring number
According to, the failure of the monitored equipment of diagnosis, specially：
The monitored data is analyzed using preset machine learning algorithm, diagnoses the failure of monitored equipment.
12. system according to claim 8, which is characterized in that the interface server obtains the monitoring of monitored equipment
Data, specially：
The monitored data for the monitored equipment being locally stored is read offline, alternatively, real-time reception is monitored the monitoring that equipment is sent
Data.
13. system according to claim 9, which is characterized in that the failure that the Hadoop cluster server will be diagnosed to be
Information is sent to intelligent terminal, including：
Determine the transmission rule of fault message；
The fault message is sent to intelligent terminal by the transmission rule.
14. system according to claim 13, the transmission rule of the determining fault message, including：
If the fault message shows that failure has occurred and that, it is determined that the transmission rule of fault message is by the severity of failure
Priority ranking sent；
If the fault message shows that failure predication can occur, it is determined that the transmission rule of fault message is that may send out by failure
Raw risk class is sent.
15. system according to claim 9, which is characterized in that the failure that the Hadoop cluster server will be diagnosed to be
Information is sent to intelligent terminal, passes through at least one of following form：
Short message, mail, wechat, calendar, note, memorandum, Visual Chart, text list.
16. a kind of trouble-shooter, which is characterized in that including：
Acquiring unit, for obtaining the monitored data of monitored equipment；
Diagnosis unit, for diagnosing the failure of monitored equipment according to the monitored data.
17. device according to claim 16, which is characterized in that further include：
Transmission unit, for the fault message being diagnosed to be to be sent to intelligent terminal.
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| CN201810608031.3A CN108827382A (en) | 2018-06-13 | 2018-06-13 | fault diagnosis method, device and system |
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