CN203164691U - Remote fault diagnosis device based on engineering machine - Google Patents
Remote fault diagnosis device based on engineering machine Download PDFInfo
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- CN203164691U CN203164691U CN2013200161377U CN201320016137U CN203164691U CN 203164691 U CN203164691 U CN 203164691U CN 2013200161377 U CN2013200161377 U CN 2013200161377U CN 201320016137 U CN201320016137 U CN 201320016137U CN 203164691 U CN203164691 U CN 203164691U
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- engineering machine
- acquisition system
- engineering machinery
- data acquisition
- industrial computer
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
Provided is a remote fault diagnosis device based on an engineering machine, comprising a GPS emitter, a data acquisition system and an industrial control computer which are arranged in an engineering machine; the data acquisition system is composed of a frequency converter and a sensor arranged on executive components of the engineering machine; the data acquisition system is in connection with an industrial control computer through a PLC controller and an RS485/RS232 interface, wherein the industrial control computer is in connection with a data exchanger through the GPS emitter and a GPRS wireless network; the data exchanger is in connection with a diagnosis terminal. The remote fault diagnosis device can perform real time collection and monitoring on operation parameters of the engineering machine and realize remote control and is in favor of reducing engineering machine maintenance response time and raising engineering machine product after-sale service quality and economic benefits.
Description
Technical field
The utility model relates to a kind of failure diagnosis apparatus, relates in particular to a kind of remote fault diagnosis equipment based on engineering machinery.
Background technology
Engineering machinery is comparatively complicated mechanical-electrical-hydraulic integration system, and along with the develop rapidly of science and technology, engineering machinery tends to high speed, high power, high reliability, high-intelligentization gradually.Because the operation operating mode of engineering machinery is very complicated, can produce various faults inevitably, cause the essential information of engineering machinery and warning message etc. to gather in real time, and can't monitor and analyze running status in real time, causing the most at last can not be in time to diagnosing malfunction and repair process.Particularly when user and equipment supplier's apart from each other, the corresponding problem of more difficult timely solution, thus bring loss on economy and the benefit.
Chinese patent 201110208816.X discloses a kind of long-distance intelligent Analysis Service system based on technology of Internet of things for engineering machinery, it at first will be gathered failure message, again that data acquisition system (DAS) is relevant with engineering equipment characteristic information and above-mentioned failure message compare, for already present failure message in the database, system can identify automatically, analyzes and will be sent to the analysis expert knowledge base for the raw information of failing to identify automatically.This method can solve the fault remote diagnosis of engineering machinery to a certain extent fast, but because the operating mode of equipment is very complicated, and the origin cause of formation of fault is very many, automatic diagnosis efficient is very low.
The utility model content
The technical problems to be solved in the utility model is, overcomes the above-mentioned defective that prior art exists, and provides a kind of diagnosis efficiency the high remote fault diagnosis equipment based on engineering machinery.
The technical scheme that its technical matters that solves the utility model adopts is:
A kind of remote fault diagnosis equipment based on engineering machinery, comprise GPS transmitter, data acquisition system (DAS), industrial computer, data acquisition system (DAS), industrial computer and GPS transmitter place engineering machinery inside, data acquisition system (DAS) is made up of the frequency converter on the execution unit that places engineering machinery and sensor, data acquisition system (DAS) links to each other with industrial computer by PLC controller, RS485/RS232 interface, industrial computer links to each other with data exchange unit with the GPRS wireless network by the GPS transmitter, and data exchange unit is connected with diagnosis terminal.
Further, described diagnosis terminal comprise interior, in, outer three layers: outer for data filtering layer, middle level be that data-switching layer, internal layer are the data allocations transport layer.
Sensor with the external parameter gathered, frequency converter with the inner parameter of gathering, by being uploaded to the PLC controller after the A/D conversion.Industrial computer sends the packet file by GPS transmitter and GPRS wireless network, and diagnosis terminal is connected with the GPRS wireless network by data exchange unit and download the packet file that is transmitted by industrial computer.
The step that the remote failure equipment based on engineering machinery of use the utility model carries out fault diagnosis is as follows:
(1) data acquisition system (DAS) is gathered the inner parameter of engineering machinery by frequency converter, gathers the external parameter of engineering machinery by sensor, and will collect inner parameter and external parameter is uploaded to the PLC controller;
(2) the PLC controller transmits industrial computer with the middle inner parameter of gathering of step (1) and external parameter by the RS485/RS232 interface, and industrial computer records inner parameter and the external parameter of uploading and storage so that the form of spectral line is automatic;
(3) industrial computer will be stored in its inner inner parameter and external parameter automatically compression be packaged into packet, and directly be sent to data exchange unit by GPS transmitter and GPRS wireless network, and received by diagnosis terminal;
(4) diagnosis terminal is with the packet decompress(ion) that receives and carry out being sent to the staff after the analyzing and processing, and the staff provides diagnostic result and solution based on practical engineering experience and theoretical evaluation and analysis;
(5) diagnosis terminal is fed to industrial computer with solution with reverse the returning of form compression packing of indicating, to instruct after industrial computer decompresses and reach the PLC controller by the RS485/RS232 interface, the corresponding execution unit of control engineering machinery is carried out with solution and is operated accordingly.
Further, in the described step (1), the inner parameter of the engineering machinery that frequency converter collects comprises electric current, voltage, frequency, electromagnetism intensity etc., and the external parameter of the engineering machinery that collects by sensor comprises displacement, speed, moment of torsion, pressure, flow rate etc.
Further, in the described step (4), behind the packet decompress(ion), the concrete steps that the data message that diagnosis terminal obtains after to decompress(ion) carries out analyzing and processing are: the data message that diagnosis terminal obtains after to decompress(ion) carries out time frequency analysis, detect the signal intensity of data message simultaneously, when signal intensity surpassed setting threshold, detected data message was judged to be abnormal signal, described abnormal signal is admitted to the middle level of diagnosis terminal, otherwise passes through the outer filtering of diagnosis terminal automatically; The abnormal signal of skin input is amplified in the middle level of diagnosis terminal, and disposes the internal layer that corresponding Time And Frequency parameter is sent to diagnosis terminal; The data message that the internal layer of diagnosis terminal imports the middle level into is classified according to signal kinds (as electric type, mechanical, hydraulic pressure class etc.), and corresponding data message is sent to the staff.
Further, experiment was determined before described threshold value was dispatched from the factory by the experience of factory and engineering machinery.
Use the utility model, can gather in real time and monitor the engineering machinery operational factor, realize Long-distance Control, by the professional and technical personnel related data is carried out remote analysis and diagnosis, be conducive to reduce the engineering mechanical maintenance response time, improve construction machinery product after sale service quality and economic benefit.
Description of drawings
Fig. 1 is that the utility model remote fault diagnosis device structure is formed synoptic diagram;
Fig. 2 is engineering machinery parameter acquisition system architecture sketch.
Embodiment
Below in conjunction with drawings and Examples the utility model is described in further detail.
With reference to Fig. 1, a kind of remote fault diagnosis equipment based on engineering machinery comprises GPS transmitter 4, data acquisition system (DAS) 1, industrial computer 3, data acquisition system (DAS) 1, industrial computer 3 places engineering machinery 2 inside (Fig. 1 with GPS transmitter 4, for being known, each parts illustrates, industrial computer 3 and GPS transmitter 4 are shifted out engineering machinery 1, represent, in the reality, industrial computer 3 is to be built in engineering machinery inside with GPS transmitter 4), data acquisition system (DAS) 1 is made up of the frequency converter 1-1 on the execution unit that places engineering machinery 2 and sensor 1-2, data acquisition system (DAS) 1 is by PLC controller 8, RS485/RS232 interface 9(is referring to Fig. 2) link to each other with industrial computer 3, industrial computer 3 links to each other with data exchange unit 6 with GPRS wireless network 5 by GPS transmitter 4, and data exchange unit 6 is connected with diagnosis terminal 7.
That described diagnosis terminal comprises is interior, in, outer three layers: outer for data filtering layer, middle level be that data-switching layer, internal layer are the data allocations transport layer.
Sensor 1-2 with the external parameter gathered, frequency converter 1-1 with the inner parameter of gathering, by being uploaded to PLC controller 8 after the A/D conversion.Industrial computer 3 sends the packet file by GPS transmitter 4 and GPRS wireless network 5, and diagnosis terminal 7 is connected with GPRS wireless network 5 by data exchange unit 6 and download the packet file that is transmitted by industrial computer 3.
The step that the remote failure equipment based on engineering machinery of use the utility model carries out fault diagnosis is as follows:
(1) data acquisition system (DAS) is gathered the inner parameter of engineering machinery by frequency converter 1-1, gathers the external parameter of engineering machinery by sensor 1-2, and will collect inner parameter and external parameter is uploaded to PLC controller 8;
(2) PLC controller 8 transmits industrial computers 3 with the middle inner parameter of gathering of step (1) and external parameter by RS485/RS232 interface 9, and industrial computer 3 records inner parameter and the external parameter of uploading and storage so that the form of spectral line is automatic;
(3) industrial computer 3 will be stored in its inner inner parameter and external parameter automatically compression be packaged into packet, and directly be sent to data exchange unit 6 by GPS transmitter 4 and GPRS wireless network 5, and received by diagnosis terminal 7;
(4) diagnosis terminal is with the packet decompress(ion) that receives and carry out being sent to the staff after the analyzing and processing, and the staff provides diagnostic result and solution based on practical engineering experience and theoretical evaluation and analysis;
(5) diagnosis terminal 7 is fed to industrial computer 3 with solution with reverse the returning of form compression packing of indicating, to instruct after industrial computer 3 decompresses and reach PLC controller 8 by RS485/RS232 interface 9, the corresponding execution unit of control engineering machinery 2 is carried out with solution and is operated accordingly.
Further, in the described step (1), the inner parameter of the engineering machinery that frequency converter 1-1 collects comprises electric current, voltage, frequency, electromagnetism intensity etc., and the external parameter of the engineering machinery that collects by sensor 1-2 comprises displacement, speed, moment of torsion, pressure, flow rate etc.
In the described step (4), behind the packet decompress(ion), the concrete steps that the data message that diagnosis terminal obtains after to decompress(ion) carries out analyzing and processing are: the data message that diagnosis terminal obtains after to decompress(ion) carries out time frequency analysis, detect the signal intensity of data message simultaneously, when signal intensity surpasses setting threshold, detected data message is judged to be abnormal signal, and described abnormal signal is admitted to the middle level of diagnosis terminal, otherwise passes through the outer filtering of diagnosis terminal automatically; The abnormal signal of skin input is amplified in the middle level of diagnosis terminal, and disposes the internal layer that corresponding Time And Frequency parameter is sent to diagnosis terminal; The data message that the internal layer of diagnosis terminal imports the middle level into is classified according to signal kinds (as electric type, mechanical, hydraulic pressure class etc.), and corresponding data message is sent to the staff.
Experiment was determined before described threshold value was dispatched from the factory by the experience of factory and engineering machinery.
Claims (1)
1. remote fault diagnosis equipment based on engineering machinery, it is characterized in that, comprise GPS transmitter, data acquisition system (DAS), industrial computer, data acquisition system (DAS), industrial computer and GPS transmitter place engineering machinery inside, data acquisition system (DAS) is made up of the frequency converter on the execution unit that places engineering machinery and sensor, data acquisition system (DAS) links to each other with industrial computer by PLC controller, RS485/RS232 interface, industrial computer links to each other with data exchange unit with the GPRS wireless network by the GPS transmitter, and data exchange unit is connected with diagnosis terminal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2013200161377U CN203164691U (en) | 2013-01-14 | 2013-01-14 | Remote fault diagnosis device based on engineering machine |
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| CN2013200161377U CN203164691U (en) | 2013-01-14 | 2013-01-14 | Remote fault diagnosis device based on engineering machine |
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| CN203164691U true CN203164691U (en) | 2013-08-28 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103048981A (en) * | 2013-01-14 | 2013-04-17 | 陈海波 | Remote fault diagnosis equipment and method based on engineering machine |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103048981A (en) * | 2013-01-14 | 2013-04-17 | 陈海波 | Remote fault diagnosis equipment and method based on engineering machine |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130828 Termination date: 20160114 |