CN101192997A - Remote status monitoring and fault diagnosis system for distributed devices - Google Patents
Remote status monitoring and fault diagnosis system for distributed devices Download PDFInfo
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Abstract
A long-distance state monitoring and fault diagnosing system of a distributing equipment is based on the Internet as the network communication basis and is used for Web Service technology construction. The invention consists of a field workstation, a long-distance monitoring and diagnosing center and three sub-systems of the long-distance diagnosing workstation. The field workstation collects equipment functioning parameters, monitors the equipment functioning state at real time and diagnoses field faults of the equipment. The long-distance monitoring and diagnosing center carries out real time long-distance state monitoring to all fields, receives workstation service requests and diagnoses the equipment long-distance faults. The long-distance diagnosing workstation receives cooperation request from the long-distance monitoring and diagnosing center and cooperates to complete the equipment fault diagnosis through Web service port. The system has good universality and configurability and can conveniently and quickly establish the application system aimed at different equipment monitoring and diagnosing requirements to realize equipment long-distance state monitoring and fault diagnosing on the basis of the Internet.
Description
Technical field
The present invention relates to apparatus remote condition monitoring and fault diagnosis field.Specifically a kind of distributed apparatus remote condition monitoring and fault diagnosis system based on Web Services technology comprise work on the spot station subsystem, remote monitoring and diagnostic center subsystem, remote diagnosis work station subsystem.Each subsystem is the network communication basis with Internet, using Web Services technology integrates, make up a distributed system, have very strong versatility, configurability, can set up application system fast at different monitoring of equipments and diagnostic requirements easily, realize apparatus remote condition monitoring and fault diagnosis based on Internet.
Background technology
The monitoring of equipment and maintenance are the main means that assurance equipment normally moved, improved equipment work efficient, prolongation service life of equipment.The structure of modern main equipment becomes increasingly complex, automaticity is more and more higher; the equipment user is owing to lack enough technical forces; be difficult to satisfy the high standard requirement of equipment operation guarantee and regular maintenance; and will cause tremendous loss to the user in case significant trouble takes place; fixing a breakdown needs outer domain expert of asking and special technical staff that technical support, participation device maintenance are provided, and the equipment downtime lengthening has further strengthened economic loss of user again.On the other hand, the after-sale service personnel of device fabrication manufacturer will hurry back and forth in the scene of different user, because the region effects limit makes troubles also for the upgrading and the maintenance of system, being difficult to provides best after-sale service for the user.
The apparatus remote condition monitoring and fault diagnosis is a key technology that addresses the above problem.The Internet technology rapid development provides strong technical foundation with universal for realizing the apparatus remote condition monitoring and fault diagnosis.Pass through remote condition monitoring, device fabrication manufacturer can be in the world, operation conditions to user's field apparatus is implemented on-line monitoring, the variety of issue that occurs in the timely discovering device running, the health status of equipment is made assessment accurately, the effective residue working life and the contingent fault of predict device, guides user is formulated effective plant maintenance guarantee plan, raising equipment operational support ability after sale.By the distributed remote failure diagnosis; can concentrate numerous design specialists, diagnostician, specialized maintenance technical staff's wisdom, the knotty problem of solution equipment appearance is in time found out trouble location and failure cause jointly; propose feasible maintenance scheme, shorten Stop-Time of Device Failure.
The exploitation of apparatus remote condition monitoring and failure diagnosis system is a complicated system engineering, and standardization, networking, generalization are the technology trends of this class applied system research exploitation.Standardization promptly is that system will have good opening, compatibility, has interoperability manipulation, assembly interchangeability between different system; Networking then is to support remote condition monitoring and failure diagnosis, realizes distributed treatment and collaborative work; Generalization then requires system to have configurability, can realize quick layout, adapts to different application.
Safeguard (CBM) based on state is a kind of brand-new plant maintenance mode, it is by the real-time monitoring to equipment working state, assess the current health status of this equipment, predict its residue working life, the equipment fault that takes place maybe will take place is proposed diagnostic comments and analyzes foundation, for operation of equipment and attendant offer help.This is a kind of advanced person's a maintenance mode, can avoid effectively major accident generation, improve capacity utilization, reduce the plant maintenance total cost effectively.OSA-CBM is a kind of CBM hierachical structure system models of open architecture, it is data acquisition, data processing, status monitoring, health evaluating, pre-diagnosis, decision support, seven levels of presentation layer with the monitoring and fault diagnosis system decomposition, has defined data model, functional mode and the communication standard of each layer.For the standardization exploitation of apparatus remote condition monitoring and failure diagnosis system is had laid a good foundation.
Web Services technology is the major criterion of Distributed Calculation, also is the technological trend of following software development, by XML Web Services standard, can realize cross-platform, as to stride programming language connection and interoperability between the application software.Web Services is based on modular assembly network, distributed, and it carries out specific task, observes concrete technical specification, and these standards make different inter-modules have good interoperability.
Apparatus remote condition monitoring and failure diagnosis system based on Web Services technology, with the OSA-CBM hierarchy Model is the system global structure framework, utilizing Web Services technology that different functional modules is packaged into the standard Web service is deployed on the Internet, constitute a distributed apparatus remote condition monitoring and fault diagnosis system, this system has configurability, can realize quick layout, adapt to different application.Such apparatus remote condition monitoring and failure diagnosis system does not also appear in the newspapers at present as yet.
Summary of the invention
The purpose of this invention is to provide a kind of distributed apparatus remote condition monitoring and fault diagnosis system, can realize remote condition monitoring and distributed diagnostics equipment; Comprise work on the spot station subsystem, remote monitoring and diagnostic center subsystem and remote diagnosis work station subsystem, each subsystem is the network communication basis with Internet, use Web Services technology and integrate, be built into a distributed system, wherein:
The work on the spot station can have one or more, and each work on the spot station subsystem comprises status monitoring program, fault diagnostic program, data acquisition and issue Web service module.The real-time collecting device service data of status monitoring program wherein, extracting device status flag information calculations monitoring parameter value, monitoring equipment running status; Fault diagnostic program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, implements failure diagnosis in device context; When the field technician can not make effective diagnosis, can also utilize the remote service request function of fault diagnostic program, send data processing and failure diagnosis service request to remote monitoring and diagnostic center, carry out remote diagnosis by remote monitoring and diagnostic center; In carrying out remote diagnosis process, data acquisition and the request of issuing Web service module responds remote monitoring and diagnostic center or remote diagnosis work station provide desired initial data to them.
Be provided with a remote monitoring and diagnostic center in the system, remote monitoring and diagnostic center subsystem comprise remote condition monitoring program, remote fault diagnosis program, data processing Web service module, failure diagnosis Web service module; The remote condition monitoring program is sent request by " data acquisition and issue Web service " to the work on the spot station, the long-range equipment operating data that obtains, and extracting device status flag information calculations monitoring parameter value realizes the remote condition monitoring to strange land equipment; The remote fault diagnosis program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, and strange land equipment is implemented remote fault diagnosis; When other domain expert of needs participates in diagnosing, can utilize the Cooperative diagnosis request function of remote diagnosis procedures, send the Cooperative diagnosis request to one or more remote diagnosis work stations; Undertaken in the multipoint cooperative failure diagnostic process by Internet, data processing Web service module, failure diagnosis Web service module responds provide basic spectrum analysis, failure symptom Analysis Service from the service request of work on the spot station or remote diagnosis work station.
The remote diagnosis work station can have one or more, each remote diagnosis work station subsystem comprises remote collaboration condition monitoring and fault diagnosis program, its response is from the Cooperative diagnosis request of remote monitoring and diagnostic center, " data acquisition and issue Web service " to the work on the spot station sends request, long-rangely obtain needed initial data, " data processing Web service " and " failure diagnosis Web service " to remote monitoring and diagnostic center sends request, carry out data processing, feature extraction and diagnostic analysis, realize the strange land Cooperative diagnosis.
The idiographic flow of described status monitoring program is: the initialization data harvester, gather in real time and the memory device Monitoring Data, after the filtering noise reduction process, extracting device status flag information calculations monitoring parameter value is sent the sound and light alarm signal when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, in this page with the form show state monitoring parameter value of color histogram; The said process circulation is carried out, and realizes the uninterrupted real-time state monitoring to monitored equipment; Monitoring facilities is accepted the control command that the user sends by event driven manner, and select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, or the done state monitoring facilities.
The idiographic flow of described fault diagnostic program is: accept the control command that the field technician sends by event driven manner, select data processing algorithm, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure; When needs when remote monitoring and diagnostic center send service request, at first set up long-range the connection with remote monitoring and diagnostic center, send service request to remote monitoring and diagnostic center then, close with remote monitoring after service finishes and be connected with the long-range of diagnostic center; Service request can be divided into two kinds, and a kind of is the automation services requests, promptly sends data processing, failure diagnosis Web service request to remote monitoring and diagnostic center, utilizes the more powerful analyzing and processing ability of remote monitoring and diagnostic center to carry out more deep diagnostic analysis; Another kind is artificial diagnosis request, promptly sends remote diagnosis request to remote monitoring and diagnostic center, by the diagnostician at center equipment is carried out remote diagnosis.
Described data acquisition with the idiographic flow of issue Web service module is: the response remote service request, if request is historical data, then from database, read corresponding data, and data are returned to service requester; If what ask is real time data, then the initialization data harvester is gathered in real time also and is being stored up device data, and data are returned to service requester.
The idiographic flow of described remote condition monitoring program is: at first select to want monitoring equipment, and set up long-range the connection with corresponding work on the spot station, send request to " data acquisition and issue Web service " at work on the spot station then, obtain the also initial data of memory device running status from the work on the spot station, after the filtering noise reduction process, institute's image data is carried out analyzing and processing, extracting device status flag information calculations monitoring parameter value is sent the sound and light alarm signal when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, in this page with the form show state monitoring parameter value of color histogram; The said process circulation is carried out, and realizes the uninterrupted real time remote status monitoring to monitored equipment; The remote condition monitoring program is accepted the control command that the user sends by event driven manner, select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, finish remote condition monitoring, or finish the remote condition monitoring program current device; When the remote condition monitoring that finishes strange land equipment, close and be connected with the long-range of work on the spot station.
The idiographic flow of described remote fault diagnosis program is: if initiatively certain strange land equipment is carried out failure diagnosis, then at first to select to want diagnostic device, set up long-range the connection with the work on the spot station of selected equipment then, if be subjected to the invitation at work on the spot station to carry out remote fault diagnosis, then directly set up long-range the connection with this work on the spot station.Accept center technical staff's control command then by event driven manner, select data processing algorithm, " data acquisition and issue Web service " to the work on the spot station sends request, the long-range status monitoring data of obtaining, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure; When the remote fault diagnosis that finishes strange land equipment, if be subjected to the work on the spot station to invite the remote diagnosis that carries out, then diagnostic result is fed back to the work on the spot station, close then with the long-range of work on the spot station and be connected; When remote monitoring and diagnostic center technical staff think when needing to invite other diagnostician to participate in diagnosing, can send the Cooperative diagnosis request to the remote diagnosis work station, at first select the remote diagnosis work station and set up long-range connection with it, then also being issued this remote diagnosis work station by the information of diagnostic device, after obtaining the Cooperative diagnosis result, close with the long-range of remote diagnosis work station and be connected; Remote monitoring and diagnostic center can connect with a plurality of remote diagnosis work stations simultaneously, realize the multiparty collaboration diagnosis.
The idiographic flow of described data processing Web service module is: the response remote service request, the data that reception will be handled are carried out basic spectrum analysis according to the service request appointed method to these data and are handled, and result is returned to service requester.
The idiographic flow of described failure diagnosis Web service module is: the response remote service request, the data that reception will be analyzed are carried out the failure symptom analysis according to the service request appointed method to these data, and result is returned to service requester.
The idiographic flow of described remote collaboration fault diagnostic program is: the request of response remote monitoring and diagnostic center, accept the remote collaboration diagnostic task.At first set up long-range the connection with the work on the spot station of want monitoring equipment, accept the control command that the user sends by event driven manner then, select data processing algorithm, " data acquisition and issue Web service " to the work on the spot station sends request, the long-range status monitoring data of obtaining, " data processing Web service " to remote monitoring and diagnostic center sends request, Monitoring Data carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, send request to " the failure diagnosis Web service " of remote monitoring and diagnostic center, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure.Diagnosis finishes the back diagnostic result is returned to remote monitoring and diagnostic center, and closes and being connected of work on the spot station.
The invention solves following several key technologies:
1) the present invention has realized a standardized CBM system-based framework, can design and develop a standardization, networking, unitized apparatus remote condition monitoring and failure diagnosis system on this basis easily.
2) the present invention has realized the encapsulation fully of Distributed Storage, access mechanism, can provide full impregnated bright database service to the upper layer application system, design and develop, dispose installation, operation maintenance and the expansion that are very easy to apparatus remote condition monitoring and fault diagnosis application system be upgraded.
3) the present invention has realized carrying out between the supported application system functional module asynchronous mechanism of long-range interoperability, this is a kind of unblock, asynchronous extending type data exchange ways, can make interoperability and exchanges data between distribution application system more flexible, more efficient.
4) the present invention has realized one based on Web Services The Application of Technology system development support platform, can support data sharing and exchange between interdepartmental system, the cross-platform application system effectively.
The present invention is a support main equipment remote condition monitoring and diagnosis application system, and its core technology is CBM technology, Web Services technology, equipment condition monitoring and fault diagnosis technology.It has following advantage:
1) standardization
The present invention has made up a standardized infrastructure framework based on the OSA-CBM architectural model, for the standardization exploitation of application system is had laid a good foundation.
2) versatility
The present invention uses signal processing, artificial intelligence, failure diagnosis, COM middleware Technology, integrated rich data processing, health evaluating and fault diagnosis algorithm, and can constantly expand, have very strong versatility.
3) high efficiency
The present invention uses Web Services technology, and the definition by the Web service object class has encapsulated data distributed store, visit and remote switch function.The transparent enclosure of this bottom technology can improve the development efficiency of application system effectively, improves the reliability of system.
4) opening
CBM technology and Web Services technology that the present invention uses have been given the native system great vitality.Can realize interdepartmental system, cross-platform interconnection, have good opening.
5) fail safe
The Internet network TCP/IP technique guarantee that the present invention adopts the correctness of data communication, land checking by user security and guaranteed legitimacy the field data visit.
Description of drawings
Fig. 1 is system global structure figure.
Fig. 2 is work on the spot station structure figure.
Fig. 3 is the status monitoring program flow diagram.
Fig. 4 is the fault diagnostic program flow chart.
Fig. 5 is data acquisition and the fast flow chart of issue Web service mould.
Fig. 6 is remote monitoring and diagnostic center structure chart.
Fig. 7 is the remote condition monitoring program flow diagram.
Fig. 8 is the remote fault diagnosis program flow diagram.
Fig. 9 is a data processing Web service module flow chart.
Figure 10 is a failure diagnosis Web service module flow chart.
Figure 11 is the remote diagnosis work station structure diagram.
Figure 12 is a remote collaboration diagnostic program flow chart.
Figure 13 is the frame construction drawing of Web service module.
Embodiment
The present invention is a kind of apparatus remote condition monitoring and failure diagnosis system based on Web Services technology, and it supports Distributed Application based on the OSA-CBM architectural model, has very strong versatility.Specific as follows:
As shown in Figure 1, this system is made of work on the spot station, remote monitoring and diagnostic center and remote diagnosis work station three parts, each part cloth of system is in different regions, with Internet is the network communication platform, be connected together by WebServices technical battery, constitute a distribution application system.Wherein: the work on the spot station can have one or more, realizes the presence states monitoring and fault diagnosis to distinct device; Remote monitoring and diagnostic center are the central hubs of whole distribution application system, it can initiatively connect with any one work on the spot station, realization is to the remote condition monitoring and the failure diagnosis of equipment, also can accept the request at any one work on the spot station, passive remote condition monitoring and the failure diagnosis of finishing equipment, when needed, it can also send the Cooperative diagnosis request to any one remote diagnosis work station; The remote diagnosis work station also can have one or more, and it accepts the request of cooperating of remote monitoring and diagnostic center, participates in the remote diagnosis to certain equipment, solves difficult problems jointly.
As shown in Figure 2, each work on the spot station subsystem comprises status monitoring program, fault diagnostic program, data acquisition and issue Web service module.The real-time collecting device service data of status monitoring program wherein, extracting device status flag information calculations monitoring parameter value, monitoring equipment running status.Fault diagnostic program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, implements failure diagnosis in device context; When the field technician can not make effective diagnosis, can also utilize the remote service request function of fault diagnostic program, send data processing and failure diagnosis service request to remote monitoring and diagnostic center, carry out remote diagnosis by remote monitoring and diagnostic center.In carrying out remote diagnosis process, data acquisition and the request of issuing Web service module responds remote monitoring and diagnostic center or remote diagnosis work station provide desired initial data to them.
Work on the spot station subsystem needs a monitoring computer and an application server at least, and the two is linked to be a LAN and inserts Internet, therefore all needs to have legal IP address.Lay various vibrating sensors, temperature sensor, speed probe etc. on monitored equipment as required, monitoring computer connects various transducers by data acquisition unit, constitution equipment operating state signal acquisition channel.The present embodiment data acquisition unit adopts the multi-functional DAQ data collecting card of the PXI bus system 4472B of American National instrument company (NI), monitoring computer adopts the embedded PXI-8168 controller of NI company, application server adopts the perfectly sound T100 level PC of the working group server of association, the network switch adopts 8 mouthfuls of 100 m ethernet switches of D-LinkDES-1008D Table top type, adopts ADSL to insert Internet.
Monitoring running state program and fault diagnostic program on monitoring computer.The status monitoring program adopts the Virtual Instrument Development instrument LabView7.0 independent development of NI company, realizes the device context status monitoring; Fault diagnostic program is united employing MatLab developing instrument and the independent development of Microsoft.NET development platform C# language, realizes the device context failure diagnosis; Data acquisition is adopted the independent development of Microsoft.NET development platform ASP.NET developing instrument with issue Web service module.
Need service data base management system (DBMS) and Web server on the application server, present embodiment adopts MS SQL Server2000 as the background data base server, the equipment state initial data that responsible storage is gathered and the result data of various analyzing and processing; Adopt Microsoft Internet Information Server 5.0 (IIS) as Web server, be responsible for data acquisition and the issue and the operation of issuing Web service.Data acquisition is adopted the independent development of Microsoft.NET development platform ASP.NET developing instrument with issue Web service module, and be packaged into Web service and be published among the IIS, accept the teledata of remote monitoring and diagnostic center or remote diagnosis work station and obtain service request, devices needed state initial data is provided for it.
As shown in Figure 3, the idiographic flow of described status monitoring program is: the initialization data harvester, gather in real time and the memory device Monitoring Data, after the filtering noise reduction process, institute's image data is handled, extracting device status flag information calculations monitoring parameter value, the concurrent visual alarm of speaking of record warning message when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, with the form show state monitoring parameter value of color histogram, green expression monitoring parameter value is in normal range (NR), yellow represents that the monitoring parameter value is lower than the setting lower threshold, red expression monitoring parameter value is higher than the setting threshold values upper limit in this page; The said process circulation is carried out, and realizes the uninterrupted real-time state monitoring to monitored equipment.The status monitoring program can be accepted the control command that the user sends by event driven manner, and select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, or the done state monitoring facilities.
As shown in Figure 4, the idiographic flow of described failure diagnosis preface is: accept the control command that the field technician sends by event driven manner, select data processing algorithm (data processing algorithm of present embodiment realization comprises Fourier transform, amplitude spectrum, power spectrum, cepstrum, refinement spectrum, resonance and demodulation spectrum), Monitoring Data is carried out analyzing and processing, and result is shown with graphics mode; (analytical method of present embodiment realization comprises autocorrelation analysis to select the failure symptom analytical method, Envelope Analysis, wavelet analysis, analysis of orbit, joint time frequency analysis, three-dimensional time frequency analysis), carry out the failure symptom analysis, and analysis result shown with graphics mode, auxiliary field technician carries out failure diagnosis, can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure, present embodiment adopts the wavelet neural network fault diagnosis algorithm to imbalance, impact and rub, flexural buckling, rigid curved, oil whirl, pedestal is loosening, resonance, rotating stall and most common failure such as misalign and provide diagnosis.When the field technician thinks when needing remote monitoring and diagnostic center that Diagnosis Service is provided, can utilize fault diagnostic program to set up long-range the connection with remote monitoring and diagnostic center, send service request to remote monitoring and diagnostic center then, close with remote monitoring after service finishes and be connected with the long-range of diagnostic center.Service request can be divided into two kinds, and a kind of is the automation services requests, promptly sends data processing, failure diagnosis Web service request to remote monitoring and diagnostic center, utilizes the more powerful analyzing and processing ability of remote monitoring and diagnostic center to carry out more deep diagnostic analysis; Another kind is artificial diagnosis request, promptly sends remote diagnosis request to remote monitoring and diagnostic center, by the diagnostician at center equipment is carried out remote diagnosis.
As shown in Figure 5, described data acquisition with the idiographic flow of issue Web service module is: the response remote service request, if request is historical data, then from database, read corresponding data, and data are returned to service requester; If request is real time data, then the initialization data harvester is gathered and storage device data in real time, and data are returned to service requester.
As shown in Figure 6, be provided with a remote monitoring and diagnostic center in the system, remote monitoring and diagnostic center subsystem comprise remote condition monitoring program, remote fault diagnosis program, data processing Web service module, failure diagnosis Web service module.The remote condition monitoring program is sent request by " data acquisition and issue Web service " to the work on the spot station, the long-range equipment operating data that obtains, and extracting device status flag information calculations monitoring parameter value realizes the remote condition monitoring to strange land equipment.The remote fault diagnosis program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, and strange land equipment is implemented remote fault diagnosis; When other domain expert of needs participates in diagnosing, can utilize the Cooperative diagnosis request function of remote diagnosis procedures, send the Cooperative diagnosis request to one or more remote diagnosis work stations.Undertaken in the multipoint cooperative failure diagnostic process by Internet, data processing Web service module, failure diagnosis Web service module responds provide basic spectrum analysis, failure symptom Analysis Service from the service request of work on the spot station or remote diagnosis work station.
Remote monitoring and diagnostic center subsystem need a remote monitoring computer and an application server at least, and the two is linked to be a LAN and inserts Internet, therefore all need to have legal IP address.Present embodiment remote monitoring computer adopts two mini-computers, configuration P43.0GCPU, 512M internal memory, 80G hard disk, DVD-Combo CD-ROM drive, 17 " LCD, 100M network interface card; Adopt the perfectly sound T350 department level PC server of association with server, the network switch adopts the D-LinkDES-1024R+10/100M workgroup hub, inserts Inernet by enterprise network.
Operation remote condition monitoring program and remote fault diagnosis program on the remote monitoring computer.Remote condition monitoring program and remote fault diagnosis program are united employing MatLab developing instrument and the independent development of Microsoft.NET development platform C# language, realize the apparatus remote condition monitoring and fault diagnosis.
Need service data base management system (DBMS) and Web server on the application server, present embodiment adopts MS SQL Server2000 as the background data base server, the equipment state initial data that responsible storage is obtained and the result data of various analyzing and processing; Adopt Microsoft Internet Information Server5.0 (IIS) as Web server, be responsible for the issue and the operation of data processing Web service, failure diagnosis Web service.These Web service modules adopt the independent development of Microsoft.NET development platform ASP.NET developing instrument, and be packaged into Web service and be published among the IIS, accept the remote service request of work on the spot station or remote diagnosis work station, needed data processing and failure diagnosis service are provided for it.
As shown in Figure 7, the idiographic flow of described remote condition monitoring program is: at first select to want monitoring equipment, and set up long-range the connection with corresponding work on the spot station, send request to " data acquisition and issue Web service " at work on the spot station then, obtain the also initial data of memory device running status from the work on the spot station, after the filtering noise reduction process, institute's image data is handled, extracting device status flag information calculations monitoring parameter value is sent the sound and light alarm signal when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, with the form show state monitoring parameter value of color histogram, green expression monitoring parameter value is in normal range (NR), yellow represents that the monitoring parameter value is lower than the setting lower threshold, red expression monitoring parameter value is higher than the setting threshold values upper limit in this page; The said process circulation is carried out, and realizes the uninterrupted real time remote status monitoring to monitored equipment.The remote condition monitoring program is accepted the control command that the user sends by event driven manner, select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, finish remote condition monitoring, or finish the remote condition monitoring program current device.When the remote condition monitoring that finishes strange land equipment, close and be connected with the long-range of work on the spot station.
As shown in Figure 8, the idiographic flow of described remote fault diagnosis program is: if initiatively certain strange land equipment is carried out failure diagnosis, then at first to select to want diagnostic device, set up long-range the connection with the work on the spot station of selected equipment then, if be subjected to the invitation at work on the spot station to carry out remote fault diagnosis, then directly set up long-range the connection with this work on the spot station.Accept the control command that the center technical staff sends by User Interface by event driven manner then, select data processing algorithm (data processing algorithm of present embodiment realization comprises Fourier transform, amplitude spectrum, power spectrum, cepstrum, refinement spectrum, resonance and demodulation spectrum), send data acquisition and issue Web service request to the work on the spot station, the long-range status monitoring data of obtaining, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; (analytical method of present embodiment realization comprises autocorrelation analysis to select the failure symptom analytical method, Envelope Analysis, wavelet analysis, analysis of orbit, joint time frequency analysis, three-dimensional time frequency analysis), carry out the failure symptom analysis, and analysis result shown with graphics mode, auxiliary field technician carries out failure diagnosis, can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure, present embodiment adopts the wavelet neural network fault diagnosis algorithm to imbalance, impact and rub, flexural buckling, rigid curved, oil whirl, pedestal is loosening, resonance, rotating stall and most common failure such as misalign and provide diagnosis.The center technical staff utilizes above-mentioned functions to being carried out multi-faceted analyzing and diagnosing by diagnostic device, finishes by the remote fault diagnosis of diagnostic device.When the center technical staff thinks that needs invite other diagnostician to participate in diagnosing, can send the Cooperative diagnosis request to the remote diagnosis work station by the remote fault diagnosis program, at first select the remote diagnosis work station and set up long-range connection with it, then also being issued this remote diagnosis work station by the information of diagnostic device, after obtaining the Cooperative diagnosis result, close with the long-range of remote diagnosis work station and be connected.The center can connect with a plurality of remote diagnosis work stations simultaneously, realizes the multiparty collaboration diagnosis.When the remote fault diagnosis that finishes strange land equipment, if be subjected to the work on the spot station to invite the remote diagnosis that carries out, then diagnostic result is fed back to the work on the spot station, close then with the long-range of work on the spot station and be connected.
As shown in Figure 9, the idiographic flow of described data processing Web service module is: the response remote service request, the data that reception will be handled are carried out basic spectrum analysis according to the service request appointed method to these data and are handled, and result is returned to service requester.
As shown in figure 10, the idiographic flow of described failure diagnosis Web service module is: the response remote service request, the data that reception will be analyzed are carried out the failure symptom analysis according to the service request appointed method to these data, and result is returned to service requester.
As shown in figure 11, each remote diagnosis work station subsystem comprises remote collaboration condition monitoring and fault diagnosis program, its response is from the Cooperative diagnosis request of remote monitoring and diagnostic center, " data acquisition and issue Web service " to the work on the spot station sends request, long-rangely obtain needed initial data, " data processing Web service " and " failure diagnosis Web service " to remote monitoring and diagnostic center sends request, carry out data processing, feature extraction and diagnostic analysis, realize the strange land Cooperative diagnosis.
The remote diagnosis work station only needs a remote diagnosis computer, but will have legitimate ip address, can insert Internet, and present embodiment remote diagnosis computer adopts IBM ThinkPad R60 notebook computer, inserts Internet by enterprise network.。
Operation remote collaboration condition monitoring and fault diagnosis program on the remote diagnosis computer, remote collaboration condition monitoring and fault diagnosis program adopts the independent development of Microsoft.NET development platform C# language.
As shown in figure 12, the idiographic flow of described remote collaboration condition monitoring and fault diagnosis program is: the request of response remote monitoring and diagnostic center, accept the remote collaboration diagnostic task.At first set up long-range the connection with the work on the spot station of want monitoring equipment, accept the control command that the user sends by event driven manner then, (data processing algorithm of present embodiment realization comprises Fourier transform to select data processing algorithm, amplitude spectrum, power spectrum, cepstrum, the refinement spectrum, the resonance and demodulation spectrum), send data acquisition and issue Web service request to the work on the spot station, the long-range status monitoring data of obtaining, send data processing Web service request to remote monitoring and diagnostic center, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; Select failure symptom analytical method (analytical method of present embodiment realization comprises autocorrelation analysis, Envelope Analysis, wavelet analysis, analysis of orbit, joint time frequency analysis, three-dimensional time frequency analysis), send failure diagnosis Web service request to remote monitoring and diagnostic center, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure, present embodiment adopt the wavelet neural network fault diagnosis algorithm to imbalance, impact and rub, flexural buckling, rigid curved, oil whirl, pedestal become flexible, resonance, rotating stall and most common failure such as misalign and provide diagnosis.Diagnosis finishes the back diagnostic result is returned to remote monitoring and diagnostic center, and closes and being connected of work on the spot station.
As shown in figure 13, the frame structure of aforementioned each Web service module is formed by exchanges data, data processing, storage three parts.Exchanges data comprises module input interface and module output interface, when a Web service module during as client, quotes other Web service by the module input interface and forms proxy class, to use function corresponding, obtains needed data; When a Web service module during,, quote for other module by module output interface definition module output function Web service communication interface class as service end.Data processing comprises function service and Data Format Transform, the function service realizes different processing capacities by calling com component, and Data Format Transform partly is responsible for finishing the data of com component I/O, the data of database storage and the format conversion work between the internal storage data object three.Storage is a database access interface, realizes equipment condition monitoring initial data and storage and the visit of result data in Universal Database.
Claims (10)
1. distributed apparatus remote condition monitoring and fault diagnosis system is characterized in that: be the network communication platform with Internet, based on the distributed system architecture of Web Services technique construction; Comprising:
Work on the spot station subsystem, the running state parameter of collecting device, the operation conditions of real-time watch device, the equipment that unusual condition occurs is carried out field diagnostic, carry out exchanges data and service request by Web service interface and remote monitoring and diagnostic center, realize presence states monitoring and fault diagnosis distinct device;
Remote monitoring and diagnostic center subsystem, central hub as whole distribution application system, each on-the-spot equipment operation condition is carried out the real time remote status monitoring, and can accept the service request at work on the spot station, field apparatus is carried out remote fault diagnosis, can propose the Cooperative diagnosis request to the remote diagnosis work station by the Web service interface when needed;
Remote diagnosis work station subsystem is accepted the request of cooperating of remote monitoring and diagnostic center, is connected with diagnostic center with work on the spot station, remote monitoring by the Web service interface, the collaborative equipment fault diagnosis task of finishing.
2. according to described distributed apparatus remote condition monitoring of claim 1 and fault diagnosis system, it is characterized in that: described work on the spot station can have one or more, and each work on the spot station subsystem comprises status monitoring program, fault diagnostic program, data acquisition and issue Web service module; The real-time collecting device service data of status monitoring program wherein, extracting device status flag information calculations monitoring parameter value, monitoring equipment running status; Fault diagnostic program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, implements failure diagnosis in device context; When the field technician can not make effective diagnosis, can also utilize the remote service request function of fault diagnostic program, send data processing and failure diagnosis service request to remote monitoring and diagnostic center, carry out remote diagnosis by remote monitoring and diagnostic center; In carrying out remote diagnosis process, data acquisition and the request of issuing Web service module responds remote monitoring and diagnostic center or remote diagnosis work station provide desired initial data to them.
3. according to described distributed apparatus remote condition monitoring of claim 1 and fault diagnosis system, it is characterized in that: described remote monitoring and diagnostic center subsystem comprise remote condition monitoring program, remote fault diagnosis program, data processing Web service module, failure diagnosis Web service module; The remote condition monitoring program is sent request by " data acquisition and issue Web service " to the work on the spot station, the long-range equipment operating data that obtains, and extracting device status flag information calculations monitoring parameter value realizes the remote condition monitoring to strange land equipment; The remote fault diagnosis program uses various frequency spectrum analysis methods that equipment operating data is handled, and uses various analytical methods to carry out the failure symptom analysis, and strange land equipment is implemented remote fault diagnosis; When other domain expert of needs participates in diagnosing, can utilize the Cooperative diagnosis request function of remote diagnosis procedures, send the Cooperative diagnosis request to one or more remote diagnosis work stations; Undertaken in the multipoint cooperative failure diagnostic process by Internet, data processing Web service module, failure diagnosis Web service module responds provide basic spectrum analysis, failure symptom Analysis Service from the service request of work on the spot station or remote diagnosis work station.
4. according to described distributed apparatus remote condition monitoring of claim 1 and fault diagnosis system, it is characterized in that: described remote diagnosis work station can have one or more, each remote diagnosis work station subsystem comprises remote collaboration condition monitoring and fault diagnosis program, its response is from the Cooperative diagnosis request of remote monitoring and diagnostic center, " data acquisition and issue Web service " to the work on the spot station sends request, long-rangely obtain needed initial data, " data processing Web service " and " failure diagnosis Web service " to remote monitoring and diagnostic center sends request, carry out data processing, feature extraction and diagnostic analysis are realized the strange land Cooperative diagnosis.
5. according to described distributed apparatus remote condition monitoring of claim 2 and fault diagnosis system, it is characterized in that: the idiographic flow of described status monitoring program is: the initialization data harvester, gather in real time and the memory device Monitoring Data, after the filtering noise reduction process, extracting device status flag information calculations monitoring parameter value is sent the sound and light alarm signal when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, in this page with the form show state monitoring parameter value of color histogram; The said process circulation is carried out, and realizes the uninterrupted real-time state monitoring to monitored equipment; Monitoring facilities is accepted the control command that the user sends by event driven manner, and select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, or the done state monitoring facilities.
6. according to described distributed apparatus remote condition monitoring of claim 2 and fault diagnosis system, it is characterized in that: the idiographic flow of described fault diagnostic program is: accept the control command that the field technician sends by event driven manner, select data processing algorithm, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure; When needs when remote monitoring and diagnostic center send service request, at first set up long-range the connection with remote monitoring and diagnostic center, send service request to remote monitoring and diagnostic center then, close with remote monitoring after service finishes and be connected with the long-range of diagnostic center; Service request can be divided into two kinds, and a kind of is the automation services requests, promptly sends data processing, failure diagnosis Web service request to remote monitoring and diagnostic center, utilizes the more powerful analyzing and processing ability of remote monitoring and diagnostic center to carry out more deep diagnostic analysis; Another kind is artificial diagnosis request, promptly sends remote diagnosis request to remote monitoring and diagnostic center, by the diagnostician at center equipment is carried out remote diagnosis.
7. according to described distributed apparatus remote condition monitoring of claim 3 and fault diagnosis system, it is characterized in that: the idiographic flow of described remote condition monitoring program is: at first select to want monitoring equipment, and set up long-range the connection with corresponding work on the spot station, send request to " data acquisition and issue Web service " at work on the spot station then, obtain the also initial data of memory device running status from the work on the spot station, after the filtering noise reduction process, institute's image data is carried out analyzing and processing, extracting device status flag information calculations monitoring parameter value is sent the sound and light alarm signal when the monitoring parameter value exceeds the setting threshold values; When current display page is the data acquisition page, in this page, show the oscillogram after initial data oscillogram and the Filtering Processing simultaneously, when current display page is the status monitoring page, in this page with the form show state monitoring parameter value of color histogram; The said process circulation is carried out, and realizes the uninterrupted real time remote status monitoring to monitored equipment; The remote condition monitoring program is accepted the control command that the user sends by event driven manner, select data acquisition channel, select filter function, set the monitoring parameter threshold values, switch current display page, finish remote condition monitoring, or finish the remote condition monitoring program current device; When the remote condition monitoring that finishes strange land equipment, close and be connected with the long-range of work on the spot station.
8. according to described distributed apparatus remote condition monitoring of claim 3 and fault diagnosis system, it is characterized in that: the idiographic flow of described remote fault diagnosis program is: if initiatively certain strange land equipment is carried out failure diagnosis, then at first to select to want diagnostic device, set up long-range the connection with the work on the spot station of selected equipment then, if be subjected to the invitation at work on the spot station to carry out remote fault diagnosis, then directly set up long-range the connection with this work on the spot station; Accept center technical staff's control command then by event driven manner, select data processing algorithm, " data acquisition and issue Web service " to the work on the spot station sends request, the long-range status monitoring data of obtaining, Monitoring Data is carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure; When the remote fault diagnosis that finishes strange land equipment, if be subjected to the work on the spot station to invite the remote diagnosis that carries out, then diagnostic result is fed back to the work on the spot station, close then with the long-range of work on the spot station and be connected; When the center technical staff thinks that needs invite other diagnostician to participate in diagnosing, can send the Cooperative diagnosis request to the remote diagnosis work station, at first select the remote diagnosis work station and set up long-range connection with it, then also being issued this remote diagnosis work station by the information of diagnostic device, after obtaining the Cooperative diagnosis result, close with the long-range of remote diagnosis work station and be connected; The center can connect with a plurality of remote diagnosis work stations simultaneously, realizes the multiparty collaboration diagnosis.
9. according to described distributed apparatus remote condition monitoring of claim 4 and fault diagnosis system, it is characterized in that: the idiographic flow of described remote collaboration condition monitoring and fault diagnosis program is: the request of response remote monitoring and diagnostic center, accept the remote collaboration diagnostic task; At first set up long-range the connection with the work on the spot station of want monitoring equipment, accept the control command that the user sends by event driven manner then, select data processing algorithm, " data acquisition and issue Web service " to the work on the spot station sends request, the long-range status monitoring data of obtaining, " data processing Web service " to remote monitoring and diagnostic center sends request, Monitoring Data carried out analyzing and processing, and result is shown with graphic form; Select the failure symptom analytical method, send request to " the failure diagnosis Web service " of remote monitoring and diagnostic center, carry out the failure symptom analysis, auxiliary field technician carries out failure diagnosis; Can carry out automatic diagnosis with the intelligent diagnostics algorithm to most common failure; Diagnosis finishes the back diagnostic result is returned to remote monitoring and diagnostic center, and closes and being connected of work on the spot station.
10. according to claim 2,3 described distributed apparatus remote condition monitoring and fault diagnosis systems, it is characterized in that: described data acquisition has the united frame structure with issue Web service module, data processing Web service module and failure diagnosis Web service module, is made up of exchanges data, data processing, storage three parts; Exchanges data comprises module input interface and module output interface, when a Web service module during as client, quotes other Web service by the module input interface and forms proxy class, to use function corresponding, obtains needed data; When a Web service module during,, quote for other module by module output interface definition module output function Web service communication interface class as service end; Data processing comprises service of clothes function and Data Format Transform, the function service realizes different processing capacities by calling com component, and Data Format Transform partly is responsible for finishing the data of com component input and output, the data of database storage and the format conversion work between the internal storage data object three; Storage is a database access interface, realizes equipment condition monitoring initial data and storage and the visit of result data in Universal Database.
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