CN103439944A - Intelligent fault diagnosis system and method for engineering machinery and engineering machinery - Google Patents
Intelligent fault diagnosis system and method for engineering machinery and engineering machinery Download PDFInfo
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- CN103439944A CN103439944A CN201310379246XA CN201310379246A CN103439944A CN 103439944 A CN103439944 A CN 103439944A CN 201310379246X A CN201310379246X A CN 201310379246XA CN 201310379246 A CN201310379246 A CN 201310379246A CN 103439944 A CN103439944 A CN 103439944A
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- 238000010295 mobile communication Methods 0.000 claims description 3
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses an engineering machine intelligent fault diagnosis system and method and an engineering machine. The system comprises: the vehicle-mounted main controller is used for acquiring and outputting working state parameters of the engineering machinery; and the fault diagnosis equipment is used for receiving the working state parameters and carrying out fault diagnosis on the engineering machinery according to the working state parameters. Through the technical scheme, the vehicle-mounted main controller in the cab of the engineering machine can be directly used for collecting the working state parameters for fault diagnosis, a single chip microcomputer or other control equipment does not need to be additionally arranged for collection, the cost is low, the development period is short, fault diagnosis can be effectively carried out on the engineering machine, the maintenance level is improved, and the shutdown loss is reduced.
Description
Technical field
The present invention relates to engineering machinery field, particularly, relate to a kind of engineering machinery Intelligent Fault Diagnose Systems, method and engineering machinery.
Background technology
Many engineering machinery (for example, excavator) mostly are open work, are subject to for a long time wind and rain, Exposure to Sunlight, dust etc. to affect and corrode, construction environment is severe, and its mechanical, electrical, liquid integrated structure is increasingly sophisticated, once break down, maintenance difficult, will cause very large time and economic loss.Therefore, excavator is carried out to fault diagnosis research, contribute to improve the maintenance level, reduce shutdown loss.
Yet existing fault diagnosis system need be added the equipment such as single-chip microcomputer or other controllers and be carried out image data, and this method causes the cost of whole fault diagnosis system higher, and need carry out corresponding hardware drive program exploitation for collecting device, and the construction cycle is long.
Summary of the invention
The purpose of this invention is to provide a kind of engineering machinery Intelligent Fault Diagnose Systems, method and engineering machinery, with lower cost, realize the fault diagnosis to engineering machinery.
To achieve these goals, the invention provides a kind of engineering machinery Intelligent Fault Diagnose Systems, this system comprises: vehicle-mounted master controller, for gathering and export the working status parameter of described engineering machinery; And failure diagnosis apparatus, for receiving described working status parameter, and according to described working status parameter, described engineering machinery is carried out to fault diagnosis.
Preferably, described vehicle-mounted master controller is supported CAN bus communication pattern, described failure diagnosis apparatus support of wireless communication pattern, and described system also comprises: communication mode changeover means, with the CAN bus, with described vehicle-mounted master controller, be connected, and be connected with described failure diagnosis apparatus with wireless mode, for making, between described vehicle-mounted master controller and described failure diagnosis apparatus, can communicate by letter.
Preferably, described failure diagnosis apparatus is mobile communication equipment (MID).
Preferably, described failure diagnosis apparatus also, for after described engineering machinery is carried out to fault diagnosis, provides corresponding fault handling method.
Preferably, described failure diagnosis apparatus is also for carrying out failure prediction according to described working status parameter to described engineering machinery.
Preferably, described failure diagnosis apparatus comprises camera head.
The present invention also provides a kind of engineering machinery that comprises said system.
The present invention also provides a kind of engineering machinery intelligent failure diagnosis method, and the method comprises: utilize vehicle-mounted master controller collection and export the working status parameter of described engineering machinery; And utilize failure diagnosis apparatus to receive described working status parameter, and according to described working status parameter, described engineering machinery is carried out to fault diagnosis.
Preferably, export described working status parameter in CAN bus communication mode, and receive described working status parameter with communication, and described method also comprises: communicate the pattern conversion between described vehicle-mounted master controller and described failure diagnosis apparatus.
Preferably, described method also comprises: after described engineering machinery is carried out to fault diagnosis, provide corresponding fault handling method.
Preferably, described method also comprises: according to described working status parameter, described engineering machinery is carried out to failure prediction.
Pass through technique scheme; can directly utilize vehicle-mounted master controller collection in pilothouse in the engineering machinery working status parameter for fault diagnosis; and gathered without additionally setting up single-chip microcomputer or other opertaing devices; cost is low; construction cycle is short; can effectively to engineering machinery, carry out fault diagnosis, improve the maintenance level, reduce shutdown loss.
Other features and advantages of the present invention will partly be described in detail in embodiment subsequently.
The accompanying drawing explanation
Accompanying drawing is to be used to provide a further understanding of the present invention, and forms the part of instructions, is used from explanation the present invention with following embodiment one, but is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the structural drawing of engineering machinery Intelligent Fault Diagnose Systems according to the embodiment of the present invention;
Fig. 2 is the process flow diagram of engineering machinery intelligent failure diagnosis method according to the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is elaborated.Should be understood that, embodiment described herein only, for description and interpretation the present invention, is not limited to the present invention.
Fig. 1 shows the structural drawing of engineering machinery Intelligent Fault Diagnose Systems according to the embodiment of the present invention.As shown in Figure 1, this system can comprise: vehicle-mounted master controller 100, for gathering and export the working status parameter of described engineering machinery; And failure diagnosis apparatus 200, for receiving described working status parameter, and according to described working status parameter, described engineering machinery is carried out to fault diagnosis.Wherein, the working status parameter for fault diagnosis can comprise engine parameter, hydraulic system parameters, electrical system parameter, equipment parameter and other parameters etc.
Thus; can directly utilize vehicle-mounted master controller collection in pilothouse in the engineering machinery working status parameter for fault diagnosis; and gathered without additionally setting up single-chip microcomputer or other opertaing devices; cost is low; construction cycle is short; can effectively to engineering machinery, carry out fault diagnosis, improve the maintenance level, reduce shutdown loss.
Described vehicle-mounted master controller 100 can be supported CAN bus communication pattern, and described failure diagnosis apparatus 200 can the support of wireless communication pattern.In order to make can to communicate between the two, described system can also comprise communication mode changeover means 300, with the CAN bus, with described vehicle-mounted master controller 100, be connected, and be connected with described failure diagnosis apparatus 200 with wireless mode, carry out format conversion for the working status parameter to vehicle-mounted master controller 100 outputs, then with wireless mode, be sent to failure diagnosis apparatus 200.Thus, failure diagnosis apparatus 200 can receive data with wireless transmission method, rather than adopts the wired connection mode to communicate, and is applicable in several work operating modes such as heavy－duty, heavy grade and revolutions.
Preferably, described failure diagnosis apparatus 200 can be for example mobile communication equipment (MID), hand-holdable, is convenient for carrying.The operating system of this MID is for example Android operating system.
Failure diagnosis apparatus 200, after receiving working status parameter, can carry out fault diagnosis according to these working status parameter.Particularly, at first failure diagnosis apparatus 200 can (for example carry out the data processing to the parameter received, mould/number conversion etc.), carry out subsequently feature extraction, and compare with the priori data in knowledge base, to find out the priori data (fault reasoning process) be complementary, and extract the failure code corresponding with the priori data mated.Failure diagnosis apparatus 200 can be shown this failure code, and the user can understand the failure condition of current system after seeing this code.
Described failure diagnosis apparatus 200 can also, after carrying out fault diagnosis, provide corresponding fault handling method.For example, after obtaining failure code, search the fault handling method corresponding with this failure code from database.May there be a plurality of fault handling methods for a kind of fault, can carry out the priority sequence to fault handling method according to priori, in the situation that failure diagnosis apparatus 200 finds out a plurality of fault handling methods, it can be shown to the user by these fault handling methods according to the priority order, with for reference.In addition, failure diagnosis apparatus 200 can also provide user's selection function.For example, for a kind of fault, may belong in electric information fault, hydraulic pressure class fault and power category fault at least both, the different fault handling method of dissimilar lower correspondence.In this case, user's selection function that the user can provide by failure diagnosis apparatus 200 selects to want the classification of checking, afterwards, failure diagnosis apparatus 200 can show the fault handling method under this classification.
Failure diagnosis apparatus 200 is except can carrying out fault diagnosis and providing the respective handling method, and it can also be predicted fault.For example, utilize the working status parameter in previous a plurality of moment to predict next working status parameter constantly, and next doped working status parameter is constantly carried out to fault diagnosis, to realize failure prediction, avoid the generation of accident.Method for failure prediction has a lot, for example expert system, neural network, gray system theory etc.
In addition, described failure diagnosis apparatus 200 can also comprise camera head, and for example, the 3D high-definition camera, taken pictures with the working site to engineering machinery, facilitates producer to add up in all directions product bug information and operation conditions.
Except the function of foregoing description, failure diagnosis apparatus 200 can also have the functions such as parameter testing (user can set a few thing parameter by failure diagnosis apparatus 200), alarm indication while being about to break down (break down or reported to the police), history data store.
Above-described be all between fault diagnostic device 200 and vehicle-mounted master controller 100 direct communication to carry out the example of inline diagnosis, but the invention is not restricted to this, failure diagnosis apparatus 200 provided by the invention also can be realized the off-line diagnosis by with vehicle-mounted master controller 100, carrying out indirect communication.For example, in the middle of utilizing, monitor supervision platform is sent to failure diagnosis apparatus 200 by working status parameter, rather than directly receive by this failure diagnosis apparatus 200 working status parameter that vehicle-mounted master controller 100 gathers, thus, failure diagnosis apparatus provided by the invention also can carry out the off-line diagnosis in the situation that with vehicle-mounted master controller, do not carry out direct communication.
The present invention also is applied to engineering machinery by said system.
Fig. 2 shows the process flow diagram of engineering machinery intelligent failure diagnosis method according to the embodiment of the present invention.As shown in Figure 2, the method can comprise: step 201, and utilize vehicle-mounted master controller collection and export the working status parameter of described engineering machinery; Step 202, utilize failure diagnosis apparatus to receive described working status parameter, and according to described working status parameter, described engineering machinery carried out to fault diagnosis.
Wherein, can export described working status parameter in CAN bus communication mode, and receive described working status parameter with communication, in this case, described method can also comprise (after step 201, before step 202): step 203 is converted to wireless communications mode by CAN bus communication pattern.
In addition, described method can also comprise: step 204, after described engineering machinery is carried out to fault diagnosis, provides corresponding fault handling method.
In addition, although not shown in the drawings, described method can also comprise: according to described working status parameter, described engineering machinery is carried out to failure prediction.
Thus; by engineering machinery Intelligent Fault Diagnose Systems provided by the invention, method and engineering machinery; can directly utilize vehicle-mounted master controller collection in pilothouse in the engineering machinery working status parameter for fault diagnosis; and gathered without additionally setting up single-chip microcomputer or other opertaing devices; cost is low, and the construction cycle is short, can effectively to engineering machinery, carry out fault diagnosis; improve the maintenance level, reduce shutdown loss.
Below describe by reference to the accompanying drawings the preferred embodiment of the present invention in detail; but; the present invention is not limited to the detail in above-mentioned embodiment; in technical conceive scope of the present invention; can carry out multiple simple variant to technical scheme of the present invention, these simple variant all belong to protection scope of the present invention.
It should be noted that in addition each the concrete technical characterictic described in above-mentioned embodiment, in reconcilable situation, can be combined by any suitable mode.For fear of unnecessary repetition, the present invention is to the explanation no longer separately of various possible array modes.
In addition, between various embodiment of the present invention, also can carry out combination in any, as long as it is without prejudice to thought of the present invention, it should be considered as content disclosed in this invention equally.
Claims (11)
1. an engineering machinery Intelligent Fault Diagnose Systems, is characterized in that, this system comprises:
Vehicle-mounted master controller, for gathering and export the working status parameter of described engineering machinery; And
Failure diagnosis apparatus, for receiving described working status parameter, and carry out fault diagnosis according to described working status parameter to described engineering machinery.
2. system according to claim 1, is characterized in that, described vehicle-mounted master controller is supported CAN bus communication pattern, described failure diagnosis apparatus support of wireless communication pattern, and described system also comprises:
Communication mode changeover means, be connected with described vehicle-mounted master controller with the CAN bus, and be connected with described failure diagnosis apparatus with wireless mode, for making, between described vehicle-mounted master controller and described failure diagnosis apparatus, can communicate by letter.
3. system according to claim 1, is characterized in that, described failure diagnosis apparatus is mobile communication equipment (MID).
4. system according to claim 1, is characterized in that, described failure diagnosis apparatus also, for after described engineering machinery is carried out to fault diagnosis, provides corresponding fault handling method.
5. system according to claim 1, is characterized in that, described failure diagnosis apparatus is also for carrying out failure prediction according to described working status parameter to described engineering machinery.
6. according to the described system of arbitrary claim in claim 1-5, it is characterized in that, described failure diagnosis apparatus comprises camera head.
7. an engineering machinery that comprises the described system of arbitrary claim in claim 1-6.
8. an engineering machinery intelligent failure diagnosis method, is characterized in that, the method comprises:
Utilize vehicle-mounted master controller collection and export the working status parameter of described engineering machinery; And
Utilize failure diagnosis apparatus to receive described working status parameter, and according to described working status parameter, described engineering machinery is carried out to fault diagnosis.
9. method according to claim 8, is characterized in that, export described working status parameter in CAN bus communication mode, and receive described working status parameter with communication, and described method also comprises:
Communicate the pattern conversion between described vehicle-mounted master controller and described failure diagnosis apparatus.
10. method according to claim 8, is characterized in that, the method also comprises:
After described engineering machinery is carried out to fault diagnosis, provide corresponding fault handling method.
11. system according to claim 8, is characterized in that, the method also comprises:
According to described working status parameter, described engineering machinery is carried out to failure prediction.
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Cited By (8)
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| CN103640555A (en) * | 2013-12-20 | 2014-03-19 | 北京理工大学 | HEV (Hybrid Electric Vehicle) control system manager |
| CN103699120A (en) * | 2013-12-25 | 2014-04-02 | 北京航天测控技术有限公司 | Fault diagnosis system for special vehicle |
| CN104503444A (en) * | 2014-12-31 | 2015-04-08 | 中联重科股份有限公司 | Fault handling method and system for engineering machinery |
| CN105116813A (en) * | 2015-09-22 | 2015-12-02 | 宁波如意股份有限公司 | Fault diagnosis system |
| CN105511450A (en) * | 2015-12-30 | 2016-04-20 | 福建工程学院 | Method for remotely monitoring and predicting fault of forklift loader |
| CN107462425A (en) * | 2017-08-04 | 2017-12-12 | 北京航天发射技术研究所 | The failure prediction method and failure predication platform of a kind of car kits system |
| CN108561226A (en) * | 2018-03-28 | 2018-09-21 | 浙江吉利控股集团有限公司 | A kind of engine intelligent monitoring shutdown system and its monitoring method |
| CN109358549A (en) * | 2018-11-01 | 2019-02-19 | 三重机有限公司 | A kind of intelligent control method and device of excavator |
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| CN105511450A (en) * | 2015-12-30 | 2016-04-20 | 福建工程学院 | Method for remotely monitoring and predicting fault of forklift loader |
| CN107462425A (en) * | 2017-08-04 | 2017-12-12 | 北京航天发射技术研究所 | The failure prediction method and failure predication platform of a kind of car kits system |
| CN108561226A (en) * | 2018-03-28 | 2018-09-21 | 浙江吉利控股集团有限公司 | A kind of engine intelligent monitoring shutdown system and its monitoring method |
| CN109358549A (en) * | 2018-11-01 | 2019-02-19 | 三重机有限公司 | A kind of intelligent control method and device of excavator |
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Application publication date: 20131211 |