CN110658789A - Intelligent remote diagnosis system and method - Google Patents
Intelligent remote diagnosis system and method Download PDFInfo
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- CN110658789A CN110658789A CN201910833453.5A CN201910833453A CN110658789A CN 110658789 A CN110658789 A CN 110658789A CN 201910833453 A CN201910833453 A CN 201910833453A CN 110658789 A CN110658789 A CN 110658789A
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- 238000004171 remote diagnosis Methods 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000003745 diagnosis Methods 0.000 claims abstract description 45
- 238000012423 maintenance Methods 0.000 claims abstract description 44
- 238000004891 communication Methods 0.000 claims abstract description 39
- 230000002457 bidirectional effect Effects 0.000 claims abstract description 19
- 238000007405 data analysis Methods 0.000 claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 7
- 238000011160 research Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4184—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31088—Network communication between supervisor and cell, machine group
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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]
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Abstract
The invention discloses an intelligent remote diagnosis system and method, which comprises a data acquisition unit, a manual operation service unit, a communication unit and a remote diagnosis system, wherein the output end of the data acquisition unit is connected with the input end of the communication unit, the manual operation service unit is in bidirectional connection with the communication unit, the communication unit is in bidirectional connection with the remote diagnosis system, and the remote diagnosis system comprises a data receiving module, a data analysis module, a processor and a personal center. The intelligent remote diagnosis system and the intelligent remote diagnosis method can generate a diagnosis scheme according to the actual situation speed of the machine, can communicate with maintenance personnel in time, ensure the remote diagnosis effect of the machine, can also communicate with the maintenance personnel in real time when an expert diagnoses, can well control a fault machine, and can continuously perfect a database in the remote diagnosis system.
Description
Technical Field
The invention relates to the technical field of remote diagnosis, in particular to an intelligent remote diagnosis system and method.
Background
The remote diagnosis system is taken as a complex interdisciplinary system, relates to a plurality of research fields, is always valued by scientific research personnel and governments of various countries, and invests a large amount of funds to develop researches on basic theories and application products. Because a lot of uncertain factors exist in a manufacturing field, various faults inevitably occur in the operation process of equipment, so that the remote diagnosis system is very important in automatic equipment, but the existing remote diagnosis system has poor diagnosis efficiency and poor communication with equipment workers, so that the diagnosis process is easy to have problems, and a maintenance message cannot be sent to the machine at regular time.
The traditional remote diagnosis system cannot generate a diagnosis scheme according to the actual condition speed of a machine, cannot communicate with maintenance personnel in time, reduces the overall diagnosis efficiency, is difficult to ensure the remote diagnosis effect of the machine, cannot communicate with the maintenance personnel in real time when an expert diagnoses, cannot well control a fault machine, wastes the overall diagnosis time, cannot continuously perfect a database in the remote diagnosis system, and is difficult to ensure the effect of the remote diagnosis system.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent remote diagnosis system and method, which solve the problems of low efficiency and poor communication effect of a remote diagnosis system.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: an intelligent remote diagnosis system and method, including data acquisition unit, manual operation service unit, communication unit and remote diagnosis system, the output of the data acquisition unit is connected with the input of the communication unit, the manual operation service unit is connected with the communication unit in both directions, and the communication unit is connected with the remote diagnosis system in both directions, the remote diagnosis system includes a data receiving module, a data analysis module, a processor and a personal center, the output of the data receiving module is connected with the input of the data analysis module, and the output of the data analysis module is connected with the input of the processor, the output of the processor is connected with the input of the diagnosis plan generation module, and the output of the diagnosis plan generation module is connected with the input of the debugging opinion generation module, the output of the debugging opinion generation module is connected with the input of the debugging request module, the output end of the remote diagnosis system is connected with the input end of the maintenance suggestion generation module, the output end of the maintenance suggestion generation module is connected with the input end of the maintenance request module, and the output end of the maintenance request module is connected with the input end of the manual operation service unit.
Preferably, the communication unit is connected with the controller in a bidirectional mode, and the input end of the communication unit is connected with the output end of the real-time state monitoring unit.
Preferably, the processor and the storage module are connected in a bidirectional mode, and the processor and the large database are connected in a bidirectional mode.
Preferably, the personal center comprises a maintenance record query module, a machine state query module and a feedback module.
Preferably, the remote diagnosis system and the wireless transceiver module are connected in a bidirectional manner, and the wireless transceiver module and the remote diagnosis expert system are connected in a bidirectional manner.
Preferably, the remote diagnosis expert system comprises a data checking module, a remote observation and debugging module, a diagnosis suggestion generation module and a real-time communication module, wherein the output end of the data checking module is connected with the input end of the remote observation and debugging module, and the output end of the remote observation and debugging module is connected with the input end of the diagnosis suggestion generation module.
The invention also discloses an intelligent remote diagnosis method, which comprises the following steps:
s1, when the machine is in fault, the data acquisition unit and the real-time state monitoring unit transmit the real-time state and parameters of the machine to the communication unit and then to the remote diagnosis system, at the moment, the data receiving module receives the information of the fault machine and then transmits the information to the data analysis module for analysis, and then transmits the information to the processor, the processor diagnoses the fault under the support of the big database, then generates diagnosis information through the diagnosis scheme generation module, transmits the diagnosis information to the debugging suggestion generation module to generate debugging suggestions of the machine, and further transmits the debugging suggestions to the debugging request module, so that the information of the debugging request module is fed back to the manual operation service unit through the communication unit, and a worker can debug and maintain the machine according to the debugging suggestions;
s2, when the machine fault can not be maintained through the remote diagnosis system, the information can be transmitted to the remote diagnosis expert system through the wireless transceiver module, the data information of the fault machine can be checked by the data checking module and then transmitted to the remote observation and debugging module, so that the controller can be controlled through the remote diagnosis system and the communication unit, the fault machine can be controlled by the controller, then the expert can generate the diagnosis information of the fault machine through the diagnosis suggestion generation module, and in the diagnosis process, the expert can communicate with the maintenance personnel through the real-time communication module;
s3, when the expert enters the remote diagnosis system to diagnose, the expert can enter the personal center, then the maintenance record of the machine can be checked through the maintenance record inquiry module, and the running state of the machine can also be known through the machine state inquiry module;
and S4, after the maintenance is finished, the maintenance condition is summarized, and the summarized maintenance condition can be uploaded to a remote diagnosis system, so that a large database can be enriched conveniently.
(III) advantageous effects
The invention provides an intelligent remote diagnosis system and method. The method has the following beneficial effects:
(1) the intelligent remote diagnosis system and the method thereof, through the remote diagnosis system comprising a data receiving module, a data analysis module, a processor and a personal center, the output end of the data receiving module is connected with the input end of the data analysis module, the output end of the data analysis module is connected with the input end of the processor, the output end of the processor is connected with the input end of a diagnosis scheme generation module, the output end of the diagnosis scheme generation module is connected with the input end of a debugging suggestion generation module, the output end of the debugging suggestion generation module is connected with the input end of a debugging request module, the output end of the remote diagnosis system is connected with the input end of a maintenance suggestion generation module, a diagnosis scheme can be generated according to the actual situation speed of a machine, and can be communicated with maintenance personnel in time, the whole diagnosis efficiency is improved, and the remote diagnosis effect of the machine is ensured, when the expert diagnoses, the expert can also communicate with maintenance personnel in real time, and can well control a fault machine, so that the time of integral diagnosis is saved.
(2) The intelligent remote diagnosis system and the intelligent remote diagnosis method comprise a data checking module, a remote observation and debugging module, a diagnosis suggestion generation module and a real-time call module through a remote diagnosis expert system, wherein the output end of the data checking module is connected with the input end of the remote observation and debugging module, the output end of the remote observation and debugging module is connected with the input end of the diagnosis suggestion generation module, a processor is in bidirectional connection with a storage module, and the processor is in bidirectional connection with a large database, so that the database in the remote diagnosis system can be continuously perfected, and the effect of the remote diagnosis system is ensured.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
fig. 2 is a schematic block diagram of the personal center architecture of the present invention.
In the figure, 1, a data acquisition unit; 2. a manual operation service unit; 3. a communication unit; 4. a remote diagnostic system; 41. a data receiving module; 42. a data analysis module; 43. a processor; 44. a personal hub; 441. a maintenance record query module; 442. a machine state query module; 443. a feedback module; 45. a diagnostic protocol generation module; 46. a debugging suggestion generation module; 47. a debugging request module; 48. a storage module; 49. a large database; 5. a maintenance suggestion generation module; 6. a maintenance request module; 7. a control machine; 8. a real-time status monitoring unit; 9. a wireless transceiver module; 10. a remote diagnostic expert system; 101. a document viewing module; 102. a remote observation debugging module; 103. a diagnostic opinion generation module; 104. and a real-time call module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a technical solution: an intelligent remote diagnosis system and method, including data acquisition unit 1, manual operation service unit 2, communication unit 3 and remote diagnosis system 4, the output of data acquisition unit 1 is connected with the input of communication unit 3, the manual operation service unit 2 is connected with communication unit 3 in both directions, and communication unit 3 is connected with remote diagnosis system 4 in both directions, remote diagnosis system 4 includes data receiving module 41, data analysis module 42, processor 43 and personal center 44, the output of data receiving module 41 is connected with the input of data analysis module 42, and the output of data analysis module 42 is connected with the input of processor 43, the output of processor 43 is connected with the input of diagnosis scheme generation module 45, and the output of diagnosis scheme generation module 45 is connected with the input of debugging suggestion generation module 46, the output end of the debugging opinion generating module 46 is connected with the input end of the debugging request module 47, the output end of the remote diagnosis system 4 is connected with the input end of the maintenance opinion generating module 5, the output end of the maintenance opinion generating module 5 is connected with the input end of the maintenance request module 6, and the output end of the maintenance request module 6 is connected with the input end of the manual operation service unit 2.
In the invention, the communication unit 3 and the controller 7 are connected in a bidirectional way, and the input end of the communication unit 3 is connected with the output end of the real-time state monitoring unit 8.
In the present invention, a bidirectional connection is implemented between the processor 43 and the storage module 48, and a bidirectional connection is implemented between the processor 43 and the large database 49.
In the present invention, the personal hub 44 includes a maintenance records query module 441, a machine status query module 442, and a feedback module 443.
In the invention, the remote diagnosis system 4 and the wireless transceiver module 9 are connected in a bidirectional way, and the wireless transceiver module 9 and the remote diagnosis expert system 10 are connected in a bidirectional way.
In the present invention, the remote diagnosis expert system 10 includes a data viewing module 101, a remote observation and debugging module 102, a diagnosis opinion generating module 103 and a real-time communication module 104, wherein an output end of the data viewing module 101 is connected with an input end of the remote observation and debugging module 102, and an output end of the remote observation and debugging module 102 is connected with an input end of the diagnosis opinion generating module 103.
The invention also discloses an intelligent remote diagnosis method, which specifically comprises the following steps:
s1, when the machine is in fault, the data acquisition unit 1 and the real-time state monitoring unit 8 transmit the real-time state and parameters of the machine to the communication unit 3, and then transmit the real-time state and parameters to the remote diagnosis system 4, at this time, the data receiving module 41 receives the information of the fault machine, and then transmits the information to the data analysis module 42 for analysis, and then transmits the information to the processor 43, the processor 43 diagnoses the fault under the support of the big database 49, then generates diagnosis information through the diagnosis scheme generating module 45, transmits the diagnosis information to the debugging opinion generating module 46 to generate debugging opinions of the machine, and further transmits the debugging opinions to the debugging request module 47, so that the information of the debugging request module 47 is fed back to the manual operation service unit 2 through the communication unit 3, and a worker can debug and maintain the machine according to the debugging;
s2, when the machine fault can not be maintained through the remote diagnosis system 4, the information is transmitted to the remote diagnosis expert system 10 through the wireless transceiver module 9, the data checking module 101 checks the data information of the fault machine, and transmits the checked data information to the remote observation and debugging module 102, so that the controller 7 can be controlled through the remote diagnosis system 4 and the communication unit 3, the controller 7 can control the fault machine, then the expert can generate the diagnosis information of the fault machine through the diagnosis suggestion generation module 103, and in the diagnosis process, the expert can communicate with the maintenance personnel through the real-time communication module 104;
s3, when the expert enters the remote diagnosis system 4 for diagnosis, the expert may enter the personal center 44, and then check the maintenance record of the machine through the maintenance record query module 441, or learn the operation state of the machine through the machine state query module 442;
and S4, after the maintenance is finished, the maintenance condition is summarized, and the summarized maintenance condition can be uploaded to the remote diagnosis system 4, so that the large database 49 can be enriched conveniently.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. An intelligent remote diagnosis system comprises a data acquisition unit (1), a manual operation service unit (2), a communication unit (3) and a remote diagnosis system (4), wherein the output end of the data acquisition unit (1) is connected with the input end of the communication unit (3), the manual operation service unit (2) and the communication unit (3) are connected in a two-way mode, and the communication unit (3) and the remote diagnosis system (4) are connected in a two-way mode, and the intelligent remote diagnosis system is characterized in that: the remote diagnosis system (4) comprises a data receiving module (41), a data analysis module (42), a processor (43) and a personal center (44), wherein the output end of the data receiving module (41) is connected with the input end of the data analysis module (42), the output end of the data analysis module (42) is connected with the input end of the processor (43), the output end of the processor (43) is connected with the input end of a diagnosis scheme generation module (45), the output end of the diagnosis scheme generation module (45) is connected with the input end of a debugging opinion generation module (46), the output end of the debugging opinion generation module (46) is connected with the input end of a debugging request module (47), the output end of the remote diagnosis system (4) is connected with the input end of a maintenance opinion generation module (5), and the output end of the maintenance opinion generation module (5) is connected with the input end of a maintenance request module (6), the output end of the maintenance request module (6) is connected with the input end of the manual operation service unit (2).
2. The intelligent remote diagnosis system according to claim 1, wherein: the communication unit (3) is in bidirectional connection with the control machine (7), and the input end of the communication unit (3) is connected with the output end of the real-time state monitoring unit (8).
3. The intelligent remote diagnosis system according to claim 1, wherein: the processor (43) is connected with the storage module (48) in a bidirectional mode, and the processor (43) is connected with the large database (49) in a bidirectional mode.
4. The intelligent remote diagnosis system according to claim 1, wherein: the personal hub (44) includes a maintenance record query module (441), a machine state query module (442), and a feedback module (443).
5. The intelligent remote diagnosis system according to claim 1, wherein: the remote diagnosis system (4) is in bidirectional connection with the wireless transceiver module (9), and the wireless transceiver module (9) is in bidirectional connection with the remote diagnosis expert system (10).
6. The intelligent remote diagnosis system according to claim 5, wherein: the remote diagnosis expert system (10) comprises a data viewing module (101), a remote observation and debugging module (102), a diagnosis opinion generating module (103) and a real-time call module (104), wherein the output end of the data viewing module (101) is connected with the input end of the remote observation and debugging module (102), and the output end of the remote observation and debugging module (102) is connected with the input end of the diagnosis opinion generating module (103).
7. An intelligent remote diagnosis method is characterized in that: the method specifically comprises the following steps:
s1, when the machine has a fault, the data acquisition unit (1) and the real-time state monitoring unit (8) can transmit the real-time state and parameters of the machine to the communication unit (3), then the information is transmitted to a remote diagnosis system (4), at the moment, the data receiving module (41) receives the information of the fault machine, then the data are transmitted to a data analysis module (42) for analysis, and then the data are transmitted to a processor (43), the processor (43) diagnoses the fault under the support of a large database (49), then generating diagnosis information through a diagnosis scheme generating module (45), transmitting the diagnosis information to a debugging opinion generating module (46) to generate debugging opinions of the machine, the information of the debugging request module (47) is fed back to the manual operation service unit (2) through the communication unit (3), and a worker can debug and maintain the machine according to debugging opinions;
s2, when the machine fault can not be maintained through the remote diagnosis system (4), the information is transmitted to the remote diagnosis expert system (10) through the wireless transceiver module (9), the data information of the fault machine can be checked by the data checking module (101), and then transmitted to the remote observation and debugging module (102), so that the controller (7) can be controlled through the remote diagnosis system (4) and the communication unit (3), the controller (7) can control the fault machine, then the expert can generate the diagnosis information of the fault machine through the diagnosis suggestion generation module (103), and in the diagnosis process, the diagnosis information can be communicated with the maintenance personnel through the real-time communication module (104);
s3, when the expert enters the remote diagnosis system (4) to diagnose, the expert can enter the personal center (44), then the maintenance record of the machine is checked through the maintenance record inquiry module (441), and the running state of the machine can be known through the machine state inquiry module (442);
and S4, after the maintenance is finished, the maintenance condition is summarized, and the summarized maintenance condition can be uploaded to a remote diagnosis system (4) so as to enrich the large database (49).
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111754649A (en) * | 2020-06-04 | 2020-10-09 | 上海皓卡网络技术有限公司 | Financial IC card personalized equipment maintenance method based on artificial intelligence |
| CN111857082A (en) * | 2020-08-14 | 2020-10-30 | 昆山同日工业自动化有限公司 | Intelligent workshop remote diagnosis control system based on 5G network |
| CN114069067A (en) * | 2021-10-21 | 2022-02-18 | 深圳蓝信电气有限公司 | Software control implementation method for intelligent remote maintenance system of storage battery |
| CN114751273A (en) * | 2022-04-26 | 2022-07-15 | 菱王电梯有限公司 | Elevator debugging method and device based on real-time communication system |
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