CN104267711A - Running state monitoring and failure diagnosis method for tobacco logistics system - Google Patents

Running state monitoring and failure diagnosis method for tobacco logistics system Download PDF

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Publication number
CN104267711A
CN104267711A CN201410609967.XA CN201410609967A CN104267711A CN 104267711 A CN104267711 A CN 104267711A CN 201410609967 A CN201410609967 A CN 201410609967A CN 104267711 A CN104267711 A CN 104267711A
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fault
equipment
failure
running state
diagnosis
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CN104267711B (en
Inventor
张宝
廖伦彪
李学军
杨丰
陶栩
周向阳
孙长建
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China Tobacco Sichuan Industrial Co Ltd
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SICHUAN TOBACCO INDUSTRY Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • G05B19/4185Total 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], computer integrated manufacturing [CIM] characterised by the network communication
    • G05B19/4186Total 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], computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • G05B19/4189Total 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], computer integrated manufacturing [CIM] characterised by the transport system
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a running state monitoring and failure diagnosis method for a tobacco logistics system. The method comprises the following steps: (1) acquiring the whole running state information of the logistics system in real time on line through a data acquisition system; (2) remotely monitoring the state of common logistics system equipment in real time, and performing failure diagnosis; (3) firstly, determining various combination modes of the failure reasons of each key logistics equipment, and secondly, inputting a diagnosis rule into an SQL (Structured Query Language) database of a failure diagnosis server, wherein the diagnosis rule serves as the source of a failure experience knowledge base; (4) storing failure result information which is obtained by automatic diagnosis through the failure diagnosis server and serves as alarm information into a failure alarm record base, triggering a wireless alarm module, and informing an on-duty equipment maintainer of failure information immediately in a short message mode. According to the method, the failure burst rate of the tobacco logistics system is effectively reduced, the failure maintenance efficiency is improved, and the equipment maintenance cost is reduced.

Description

The monitoring of tobacco flow system running state and method for diagnosing faults
Technical field
The present invention relates to monitoring running state and the fault diagnosis field of logistics system, be specifically related to the monitoring of a kind of tobacco flow system running state and method for diagnosing faults.
Background technology
Tobacco flow system is a kind of comprehensive production logistics system of complexity, has certain singularity.Because cigar mill's profits tax is relatively high, especially the large-scale cigarette factory technological transformation starting point of cigarette annual production more than 500,000 casees and target localization all very high, in addition the abundance of capital, its logistics system has led industrial advanced level, some logistics equipments with high content of technology obtain the application that takes the lead in, as shuttle, solid overhead warehouse, industrial robot, automatic guided vehicle (AGV) etc. are obtained for widespread use in cigarette factory logistics system at tobacco business.The modern logistics control system being applied to tobacco business at present more bias toward managed article are followed the tracks of, statistics and analysis, fruitful failure monitoring and warning function are but lacked to machine operation, lack the reliable operating statistic of equipment, perfect operating analysis data cannot be provided, necessary fault diagnosis subsidiary function cannot be provided for maintainer, thus cause maintainer carry out equipment maintenance be often in passive, maintenance inefficiency.
Along with the production-scale expansion of tobacco enterprise, the increase of product variety, the introducing of sophisticated equipment, automaticity improves constantly, and this also certainly will have higher requirement to the maintaining of tobacco flow system equipment itself and safety management.Day by day fierce market competition also makes numerous tobacco enterprise more pay attention to equipment maintenance and management, to reduce enterprise's production cost, improves product competitiveness.For ensureing logistics system safety, economy, stable operation, the malfunction monitoring diagnosis of logistics equipment is the mode of benchmark by being converted to from the mode taking time as benchmark with state, its content comprises condition monitoring and fault diagnosis two aspects: the former provides maintenance foundation by the characteristic signal extracting fault for State Maintenance, latter analysis, processes the status information gathered.Present stage is because 3 D monitoring technology is not yet ripe and high expensive, the domestic status monitoring towards tobacco flow system still more adopts the two-dimentional configuration software such as Intouch, wincc, iFIX, Intouch industrial automation configuration software, Wonderware Products.The iFIX scrap prodn. line supervisory system of related system as the tobacco flow Automatic monitoring systems based on Intouch software, the primary processing line supervisory system based on Intouch9.0 configuration software, Qingdao cigarette cigar mill, the chain furnace monitoring system etc. based on wincc of Jinan general tobacco group.These systemic-functions are complete, stable performance, played concrete effect in actual production; But interface roughness, poor intuition, visualization are low, significantly reduce the practicality of system.Along with the continuous maturation of fault diagnosis technology and in China's aviation, chemical industry, metallurgical, the successful Application of the industries such as electric power, towards tobacco business Fault Diagnosis of Mechanical Equipment also rudiment just like the mushrooms after rain produce, related system is as the tobacco machine remote fault diagnosis service system of sing on web, the tobacco equipment status monitoring of Yunnan Kunming Shipbuilding Design & Research Institute's exploitation and predictive maintenance system, the storage sorting arrangement fault monitoring system of office of Qingdao City exploitation, the stacking machine for tunnel with track fault diagnosis system etc. of mechanical & electrical technology research institute of Lanzhou Jiaotong University research, these systems have easy malfunction monitoring, diagnosis or forecast function, improve equipment failure maintenance efficiency to a certain extent and reduce equipment failure rate, but cannot carry out analysing in depth and Precise Diagnosis for catastrophic failure, complex fault, effective fault handling can not be provided to help to maintenance personal.
Summary of the invention
Instant invention overcomes the deficiencies in the prior art, provide a kind of tobacco flow system running state to monitor and method for diagnosing faults and system, it can realize the comprehensive eye exam to tobacco flow equipment state, improves the accuracy of tobacco flow equipment fault diagnosis.
For solving above-mentioned technical matters, the present invention by the following technical solutions:
A kind of tobacco flow system running state monitoring and method for diagnosing faults, described method comprises the following steps:
(1), by data acquisition system (DAS) online real time collecting logistics system overall operation status information;
(2), for common logistics equipment, based on the running state data gathered, adopt the visual logistics method for supervising based on Intouch, configuration realizes the remote real time monitoring of logistics system equipment state, and adopts the simple and easy method for diagnosing faults that compares to carry out fault diagnosis;
(3), for key stream equipment, first according to operation logic and the electrical principle of each key stream equipment, on the basis knowing the basic failure mode of each key stream equipment, set up the fault tree of each key stream equipment, analysis may cause the various factors of each key stream equipment failure, determines the various array modes of each key stream equipment failure reason; Then according to the cause-effect relationship between the level of fault propagation in each key stream Fault tree and father, child node, the diagnostic rule of " IF THEN " type of employing embodies the forward Chain of Causation between each father, child node, and by the SQL database of described diagnostic rule input fault diagnosis server, as the source of fault experience knowledge base; For the catastrophic failure problem that each key stream equipment is new, characteristic information in each key stream equipment failure data stream is obtained by carrying out on-line analysis to the fault data of each key stream equipment, described characteristic information is carried out rule match, adopt and with the method for diagnosing faults of rule-based reasoning, fault diagnosis is carried out to each key stream equipment of logistics system based on fault tree: mate knowledge in fault experience knowledge base or rule by reasoning, obtain the information with the new catastrophic failure problem of each key stream equipment with most similar features, solve diagnosis problem;
(4) the fail result information, fault diagnosis server automatic diagnosis drawn is saved to fault alarm record storehouse as warning message, and trigger Wireless alarm module simultaneously, with short message way, the failure message very first time is informed plant maintenance personnel on duty.
Further technical scheme is that data acquisition system (DAS) described in step (1) is by on-the-spot logistics equipment controller real-time collecting, tabulating equipment service data, adopt OPC technology, in conjunction with the access mechanism that opc server is supported, fault diagnosis server, by independently having write OPC client, realizes the real-time, interactive of information between relative application software and bottom dissimilar logistics equipment.
Further technical scheme is that the visual logistics method for supervising based on Intouch described in step (2) realizes by monitor workstation, and its step comprises:
A. according to field apparatus practical layout situation, the interface element needed for monitoring interface and the layout information in Intouch thereof is determined;
B. adopt SolidWorks draw production scene equipment and carry out integral layout to monitoring interface, adopt 3DMax to play up drawn bitmap, and it can be used as Basic Elements of Graphic User Interface to import Intouch;
C. according to the field apparatus running state data of data acquisition system, the status information of the interface element in production scene status information of equipment and Intouch is matched.
Further technical scheme is the simple and easy method for diagnosing faults that compares described in step (2) is pile up for smoke box in smoke box course of conveying, conveyor is failure to actuate and the simple and easy fault of Photoelectric Detection misalignment, according to smoke box actual transmission speed, between each conveyor and Photoelectric Detection on monitoring interface cigarette box conveying line road, response time threshold value is set, by after monitoring last photoelectric tube or conveyor action in given threshold time next photoelectric tube or conveyor whether regular event judges whether described simple and easy fault occurs, if be tested with fault to occur, then report to the police immediately.
Further technical scheme is that in step (3), reasoning matching process comprises: when being single fault diagnostic reasoning, then adopt heuristic rule search, according to knowledge information relevant before and after single fault described in fault tree, carry out quick diagnosis; When being complex fault diagnostic reasoning, then adopting preference for probability rule search, carrying out comprehensive diagnostic according to the child node probability size order of described complex fault in its dependent failure tree.
Further technical scheme is that step (3) also comprises described plant maintenance personnel and accesses the fail result information of checking that fault diagnosis server automatic diagnosis draws by execute-in-place terminal at any time; Described fault diagnosis server, after carrying out fault diagnosis, provides relevant treatment advice and operating process according to fault experience knowledge base to current failure, carries out fault restoration step with utility appliance maintainer.
Further technical scheme is that step (3) also comprises: when plant maintenance personnel repair by execute-in-place terminal fault, if diagnostic result is different from physical fault situation, plant maintenance personnel are according to maintenance actual conditions correction fail result information, and the fault handling object information finally preserved is uploaded to described fault experience knowledge base step by described fault diagnosis server automatically.
Further technical scheme is one or more technical documentations that fault experience knowledge base also comprises in expertise knowledge and equipment operating flow process, safe operation specification, operational maintenance rules.
Further technical scheme is that the common logistics equipment described in step (2) comprises the smoke box conveying equipments such as smoke box carrier chain machine, conveying roller machine, hoister with its attached detection photoelectric tube; Key stream equipment described in step (3) comprises robot palletizer, shuttle, piler and code extension set.
Further technical scheme is that Wireless alarm module adopts gsm wireless module, and described gsm wireless module is connected with described fault diagnosis server by serial ports; Be connected by Industrial Ethernet between described fault diagnosis server with described on-the-spot logistics equipment controller.
Compared with prior art, the invention has the beneficial effects as follows: (1) the present invention adopts OPC technology, in conjunction with the access mechanism that opc server is supported, by independently writing OPC client, the on-the-spot logistics equipment running state data of online Real-time Obtaining, effectively can solve the problem of system software and the dissimilar equipment room information interaction of bottom, achieve host computer monitoring software, communication between fault diagnosis software and on-the-spot logistics equipment, the object of real-time data transmission between each module of the system that reaches.
(2) the visual logistics method for supervising based on Intouch of the present invention's proposition, with Intouch configuration software for platform, in conjunction with Three-Dimensional Dynamic drafting method, configuration realizes the remote real time monitoring of tobacco flow system equipment status, solves the problem of existing equipment supervisory system function singleness, interface roughness, loss of learning, poor real.Adopt and three-dimensional graphics software (3DMax, Solidworks) is drawn the method that the bitmap played up imports configuration software, greatly strengthen the actual effect of Intouch configuration effect of visualization and configuration animation.
(3) the present invention breaches logistics equipment diagnostic knowledge and obtains the bottleneck difficult, knowledge quantity is few.Can automatically obtain diagnostic experiences and without the need to manually summing up and inputting, substantially increase diagnosis efficiency and accuracy, reduce diagnosis cost.
(4) the present invention is towards tobacco flow system; propose the logistics system method for diagnosing faults based on fault tree and rule match; effectively can solve the problem that the logistics equipment such as shuttle, piler fault diagnosis is difficult, stop time is long, maintenance job produces little effect; greatly fill up the blank of China's tobacco business logistics equipment intelligent trouble diagnosis; effectively reduce tobacco flow system failure burst rate; improve breakdown maintenance efficiency, reduce cost of equipment maintenance.
Accompanying drawing explanation
Fig. 1 is that one embodiment of the invention implements one-piece construction schematic diagram.
Fig. 2 is the implementing procedure schematic diagram of one embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further elaborated.
As shown in Figure 1 and Figure 2, the monitoring of one embodiment of the invention tobacco flow system running state and method for diagnosing faults:
This method realizes by means of monitor workstation, fault diagnosis server, execute-in-place terminal, Wireless alarm module and logistics equipment controller, is connected between fault diagnosis server with on-the-spot logistics equipment controller by Industrial Ethernet.Monitor workstation accesses described fault diagnosis server by remote desktop mode, is connected between the two by Industrial Ethernet.Execute-in-place terminal can be the panel computer of band Windows system, but is not limited in this, and execute-in-place terminal accesses described fault diagnosis server by remote desktop mode, connects communication between the two by wifi wireless network.The method of the present embodiment comprises the steps:
(1) by data acquisition system (DAS) online real time collecting logistics system overall operation status information; In this step, data acquisition system (DAS) is by on-the-spot logistics equipment controller real-time collecting, tabulating equipment service data, adopt OPC technology, in conjunction with the access mechanism that opc server is supported, fault diagnosis server, by independently having write OPC client, realizes the real-time, interactive of information between relative application software and bottom dissimilar logistics equipment.Preferably, the fault diagnosis software that relative application software comprises host computer Intouch monitoring software and independently writes, and be all installed on fault diagnosis server.
(2) for common logistics equipment, specific embodiment is, in this step, common logistics equipment comprises the smoke box conveying equipments such as smoke box carrier chain machine, conveying roller machine, hoister with its attached all kinds of detection photoelectric tubes.Based on the running state data gathered, adopt the visual logistics method for supervising based on Intouch, configuration realizes the remote real time monitoring of logistics system equipment state, and adopts the simple and easy method for diagnosing faults that compares to carry out fault diagnosis; Specific embodiment is, the visual logistics method for supervising based on Intouch in this step realizes by monitor workstation, and its step comprises:
A. according to field apparatus practical layout situation, the interface element needed for monitoring interface and the layout information in Intouch thereof is determined;
B. SolidWorks is adopted to draw production scene equipment and carry out integral layout to monitoring interface; 3DMax is adopted to play up; Bitmap after playing up is imported Intouch as Basic Elements of Graphic User Interface;
C. according to the field apparatus running state data of data acquisition system, the status information of the interface element in production scene status information of equipment and Intouch is matched.
Further, for in this step, simple and easyly compare that method for diagnosing faults pointer is piled up smoke box in smoke box course of conveying, conveyor is failure to actuate and the simple and easy fault such as Photoelectric Detection misalignment, according to smoke box actual transmission speed, between each conveyor and Photoelectric Detection on monitoring interface cigarette box conveying line road, response time threshold value is set, by after monitoring last photoelectric tube or conveyor action in given threshold time next photoelectric tube or conveyor whether regular event judges whether described simple and easy fault occurs, occur once be tested with fault, then report to the police immediately.
(3) for key stream equipment, specific embodiment is, in this step, key stream equipment comprises robot palletizer, shuttle, piler and code extension set.First fault tree analysis is adopted, according to operation logic and the electrical principle of each key stream equipment, on the basis understanding the basic failure mode of each key stream equipment, set up the fault tree of each key stream equipment, analysis may cause each middle factor of each key stream equipment failure, determines the various array modes of each key stream equipment failure reason; Then rule model is adopted, according to the cause-effect relationship between the level of fault propagation in each key stream Fault tree and father, child node, the diagnostic rule of " IF THEN " type of employing embodies the forward Chain of Causation between each father, child node, and by the SQL database of described diagnostic rule input fault diagnosis server, as the source of fault experience knowledge base; Preferably, fault experience knowledge base also comprises the technical documentation such as expertise knowledge and equipment operating flow process, safe operation specification, operational maintenance rules.For the catastrophic failure problem that each key stream equipment is new, characteristic information in each key stream equipment failure data stream is obtained by carrying out on-line analysis to the fault data of each key stream equipment, described characteristic information is carried out rule match, adopt and with the method for diagnosing faults of rule-based reasoning, fault diagnosis is carried out to each key stream equipment of logistics system based on fault tree: mate knowledge in fault experience knowledge base or rule by reasoning, obtain the information with the new catastrophic failure problem of each key stream equipment with most similar features, solve diagnosis problem.Specific embodiment is, reasoning matching process comprises: when single fault diagnostic reasoning, then adopt heuristic rule search, according to knowledge information relevant before and after single fault described in fault tree, carry out quick diagnosis; When being complex fault diagnostic reasoning, then adopting preference for probability rule search, carrying out comprehensive diagnostic according to the child node probability size order of described complex fault in its dependent failure tree.Preferred embodiment is, plant maintenance personnel can access the fail result information of checking that fault diagnosis server automatic diagnosis draws at any time by execute-in-place terminal; Described fault diagnosis server, after carrying out fault diagnosis, provides relevant treatment advice and operating process according to fault experience knowledge base to current failure, carries out fault restoration with utility appliance maintainer.When plant maintenance personnel repair by execute-in-place terminal fault, if there is any discrepancy for diagnostic result and physical fault situation, plant maintenance personnel can voluntarily according to maintenance actual conditions correction fail result information, described fault diagnosis server is uploaded to described fault experience knowledge by finally preserving fault handling object information automatically, thus fault experience knowledge base is enriched in renewal, improves constantly diagnostic accuracy.
(4) fail result information fault diagnosis server automatic diagnosis drawn is saved to fault alarm record storehouse as warning message, and triggers Wireless alarm module simultaneously, with short message way, the failure message very first time is informed plant maintenance personnel on duty.In this step, Wireless alarm module adopts gsm wireless module, and gsm wireless module is connected with fault diagnosis server by serial ports.
Spoken of in this manual " embodiment ", " another embodiment ", " embodiment ", etc., refer to the specific features, structure or the feature that describe in conjunction with this embodiment and be included at least one embodiment of the application's generality description.Multiple place occurs that statement of the same race is not necessarily refer to same embodiment in the description.Furthermore, when describing specific features, structure or a feature in conjunction with any one embodiment, what advocate is also fall within the scope of the invention to realize this feature, structure or feature in conjunction with other embodiments.
Although with reference to the multiple explanatory embodiment of inventing, invention has been described here, but, should be appreciated that, those skilled in the art can design a lot of other amendment and embodiment, these amendments and embodiment will drop within spirit disclosed in the present application and spirit.More particularly, in the scope of the open claim of the application, multiple modification and improvement can be carried out to the building block of subject combination layout and/or layout.Except the modification of carrying out building block and/or layout is with except improvement, to those skilled in the art, other purposes also will be obvious.

Claims (10)

1. the monitoring of tobacco flow system running state and a method for diagnosing faults, is characterized in that: described method comprises the following steps:
(1), by data acquisition system (DAS) online real time collecting logistics system overall operation status information;
(2), for common logistics equipment, based on the running state data gathered, adopt the visual logistics method for supervising based on Intouch, configuration realizes the remote real time monitoring of logistics system equipment state, and adopts the simple and easy method for diagnosing faults that compares to carry out fault diagnosis;
(3), for key stream equipment, first according to operation logic and the electrical principle of each key stream equipment, on the basis knowing the basic failure mode of each key stream equipment, set up the fault tree of each key stream equipment, analysis may cause the various factors of each key stream equipment failure, determines the various array modes of each key stream equipment failure reason; Then according to the cause-effect relationship between the level of fault propagation in each key stream Fault tree and father, child node, the diagnostic rule of " IF THEN " type of employing embodies the forward Chain of Causation between each father, child node, and by the SQL database of described diagnostic rule input fault diagnosis server, as the source of fault experience knowledge base; For the catastrophic failure problem that each key stream equipment is new, characteristic information in each key stream equipment failure data stream is obtained by carrying out on-line analysis to the fault data of each key stream equipment, described characteristic information is carried out rule match, adopt and with the method for diagnosing faults of rule-based reasoning, fault diagnosis is carried out to each key stream equipment of logistics system based on fault tree: mate knowledge in fault experience knowledge base or rule by reasoning, obtain the information with the new catastrophic failure problem of each key stream equipment with most similar features, solve diagnosis problem;
(4) the fail result information, fault diagnosis server automatic diagnosis drawn is saved to fault alarm record storehouse as warning message, and trigger Wireless alarm module simultaneously, with short message way, the failure message very first time is informed plant maintenance personnel on duty.
2. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, it is characterized in that the described data acquisition system (DAS) described in step (1) is by on-the-spot logistics equipment controller real-time collecting, tabulating equipment service data, adopt OPC technology, in conjunction with the access mechanism that opc server is supported, fault diagnosis server, by independently having write OPC client, realizes the real-time, interactive of information between relative application software and bottom dissimilar logistics equipment.
3. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, it is characterized in that the visual logistics method for supervising based on Intouch described in described step (2) realizes by monitor workstation, its step comprises:
A. according to field apparatus practical layout situation, the interface element needed for monitoring interface and the layout information in Intouch thereof is determined;
B. adopt SolidWorks draw production scene equipment and carry out integral layout to monitoring interface, adopt 3DMax to play up drawn bitmap, and it can be used as Basic Elements of Graphic User Interface to import Intouch;
C. according to the field apparatus running state data of data acquisition system, the status information of the interface element in production scene status information of equipment and Intouch is matched.
4. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, it is characterized in that the simple and easy method for diagnosing faults that compares described in described step (2) piles up for smoke box in smoke box course of conveying, conveyor is failure to actuate and the simple and easy fault such as Photoelectric Detection misalignment, according to smoke box actual transmission speed, between each conveyor and Photoelectric Detection on monitoring interface cigarette box conveying line road, response time threshold value is set, by after monitoring last photoelectric tube or conveyor action in given threshold time next photoelectric tube or conveyor whether regular event judges whether described simple and easy fault occurs, if be tested with fault to occur, then report to the police immediately.
5. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, it is characterized in that in described step (3), reasoning matching process comprises: when being single fault diagnostic reasoning, then adopt heuristic rule search, according to knowledge information relevant before and after single fault described in fault tree, carry out quick diagnosis; When being complex fault diagnostic reasoning, then adopting preference for probability rule search, mating diagnosis according to the child node probability size order of described complex fault in its dependent failure tree comprehensively.
6. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, is characterized in that described step (3) also comprises described plant maintenance personnel and accesses the fail result information of checking that fault diagnosis server automatic diagnosis draws by execute-in-place terminal at any time; Described fault diagnosis server, after carrying out fault diagnosis, provides relevant treatment advice and operating process according to fault experience knowledge base to current failure, carries out fault restoration step with utility appliance maintainer.
7. tobacco flow system running state monitoring according to claim 6 and method for diagnosing faults, it is characterized in that described step (3) also comprises: when plant maintenance personnel repair by execute-in-place terminal fault, if diagnostic result is different from physical fault situation, plant maintenance personnel are according to maintenance actual conditions correction fail result information, and the fault handling object information finally preserved is uploaded to described fault experience knowledge base step by described fault diagnosis server automatically.
8. the tobacco flow system running state monitoring according to claim 1 or 7 and method for diagnosing faults, is characterized in that described fault experience knowledge base also comprises one or more technical documentations in expertise knowledge and equipment operating flow process, safe operation specification, operational maintenance rules.
9. tobacco flow system running state monitoring according to claim 1 and method for diagnosing faults, is characterized in that the described common logistics equipment described in step (2) comprises the smoke box conveying equipments such as smoke box carrier chain machine, conveying roller machine, hoister with its attached detection photoelectric tube; Key stream equipment described in step (3) comprises robot palletizer, shuttle, piler and code extension set.
10. tobacco flow system running state monitoring according to claim 2 and method for diagnosing faults, it is characterized in that the Wireless alarm module described in step (4) adopts gsm wireless module, described gsm wireless module is connected with described fault diagnosis server by serial ports; Be connected by Industrial Ethernet between described fault diagnosis server with described on-the-spot logistics equipment controller.
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