CN105298823A - Large pump unit on-line monitoring and diagnosis system - Google Patents
Large pump unit on-line monitoring and diagnosis system Download PDFInfo
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Abstract
The invention discloses a large pump unit on-line monitoring and diagnosis system. The large pump unit on-line monitoring and diagnosis system comprises an air gap sensor, an electric eddy sensor, an acceleration sensor, a temperature sensor, a signal conditioner, a signal processor, a WEB server, a data server, a user client, a fire wall, a router and a remote expert sub-system. Information collected by the four sensors is conditioned through the signal conditioner and then sent to the signal processor, data processed through the signal processor are transmitted to the WEB server, the data server and the user client, the data of the user client are checked by a user, and the data of the WEB server are sent to the remote expert sub-system through the fire wall and the router; the remote expert sub-system provides corresponding maintenance measures according to the operation state of a unit. The large pump unit on-line monitoring and diagnosis system can monitor the operation conditions of the unit in real time, monitor the changes of the air gap and the magnetic flux of a motor, predict faults of the unit, shorten the stop time and reduce the overhaul cost.
Description
Technical field
The invention belongs to the unit maintenance technical field of large pumping station, relate to a kind of online monitoringand diagnose system, especially relate to a kind of magna pump unit online monitoringand diagnose system.
Background technique
On-line monitoring system is a kind of system integrating record, monitoring, analysis and prediction.At present, still " periodical repair, correction maintenance ", the development that pump assembly compared by same domestic water, fire, nuclear power generating sets extensive use Condition Monitoring Technology relatively falls behind in the maintenance of the unit of large pumping station.The monitoring system that repair and maintenance company of Canada (VibroSystM) produces is widely used in large-scale ore deposit, water, fire, nuclear power machine unit, but is not applied on magna pump unit.
Summary of the invention
In order to solve the technical problem existing for prior art, the invention provides one be applied on magna pump unit running state and parameter recorded, monitor, analysis and prediction, whether judgment device exists failure symptom, determine the character of fault, classification, degree, reason, position, point out that trend and the consequence of development occur fault, propose to control the measure that fault continues development, formulate the online monitoringand diagnose system of overhauling project and scheme.
The technical solution adopted in the present invention is: a kind of magna pump unit online monitoringand diagnose system, is characterized in that: comprise air gap sensors, current vortex sensor, acceleration transducer, temperature transducer, signal conditioner, signal processor, WEB server, data server, user side, fire-wall, router, Remote subtense angle;
Described air gap sensors, current vortex sensor, acceleration transducer, temperature transducer are separately positioned on the motor stator of pump assembly, in the frame of unit, on the immobilizing foundation of frame, between bearing bush;
Described air gap sensors, current vortex sensor, acceleration transducer, temperature transducer collection to the conditioning of information respectively through described signal conditioner after send described signal processor to, signal processor processes obtains data and sends described WEB server, data server, user side respectively to, wherein the data of user side are checked for user, the data of described WEB server are by sending to described Remote subtense angle after described fire-wall, router, Remote subtense angle proposes corresponding maintenance measure according to the running state of unit.
As preferably, described signal processor comprises data reception module, data initialization module, message loop puocessing module, display modular, parameter adjustment module, unit monitoring modular, exits monitoring modular, password authentication module, the first data memory module, terminate module, hot file read module, analysis and processing module, data processing module, renewal unit picture module, unit abnormal judge module, acoustooptic alarm module, the second data memory module;
The data that described data reception module obtains from described signal conditioner enter in message loop puocessing module after data initialization module initialization, described message loop puocessing module respectively with described display modular, parameter adjustment module, unit monitoring modular, exit monitoring modular both-way communication, described display modular is used for from message loop puocessing module, taking out data and showing various waveform and frequency spectrum picture, described parameter adjustment module obtains different set states for adjusting unit parameter, described unit monitoring modular is for obtaining the working state of every platform unit, when needs exit monitoring, send exit name by the described monitoring modular that exits, and after described password authentication module verification passes through, there is described first data memory module in related data, exits monitoring system finally by described end module, if described password authentication module verification not by, then continued the state of monitoring unit by described message loop puocessing module,
Described message loop puocessing module is connected successively with described hot file read module, analysis and processing module, data processing module, renewal unit picture module, the abnormal judge module of unit, acoustooptic alarm module, the second data memory module, forms a closed loop subtense angle; Automatically from described message loop puocessing module, hot file is read in real time with described hot file read module, again through described analysis and processing module, data processing module, upgrade after completing and send into described renewal unit picture module, judge through the abnormal judge module of described unit again, if do not have fault directly to store related data by described second data memory module, finally related data is sent into described message loop puocessing module; If there is fault, after being reported to the police by described acoustooptic alarm module, then store related data by described second data memory module, finally related data is sent into described message loop puocessing module.
As preferably, described Remote subtense angle comprises Universal Database, each unit private database, static database, dynamic data base, interpreter, processed offline module, symptoms abstraction module, reasoning module, parameter adjustment module, online help module, study subtense angle, fault go through memory module, human-computer interaction interface module, context memory module; Described static database is for storing the relevant parameter of unit, and dynamic data base is for storing the running state data of unit;
Data or be directly presented in described human-computer interaction interface module after being explained by described interpreter in described Universal Database, each unit private database, or by after finding corresponding sign after described reasoning module reasoning in described Universal Database, each unit private database, extracting sign with this through being presented in described human-computer interaction interface module after described context memory module, symptoms abstraction module, processed offline resume module;
Described parameter adjustment module is for revising the relevant parameter in described human-computer interaction interface module, described online help module is used for described human-computer interaction interface module and checks that data in described static database, dynamic data base are to obtain help, described study subtense angle enriches the particular content in described static database, dynamic data base for described human-computer interaction interface module, the fault learning to obtain by described study subtense angle is gone through after fault goes through memory module storage and also can be presented in described human-computer interaction interface module.
Tool of the present invention has the following advantages:
1. can Real-Time Monitoring unit operation situation;
2. can monitor the change of motor air gap and magnetic flux;
3. predict the fault of unit;
4. the power generating ratio time, reduce the cost of overhaul;
5. have fault diagnosis system, can partly replace manually carrying out fault diagnosis.
Accompanying drawing explanation
Fig. 1: be the system construction drawing of the embodiment of the present invention.
Fig. 2: be the signal processor structure figure of the embodiment of the present invention.
Fig. 3: be the Remote subsystem structure figure of the embodiment of the present invention.
Embodiment
Understand for the ease of those of ordinary skill in the art and implement the present invention, below in conjunction with drawings and Examples, the present invention is described in further detail, should be appreciated that exemplifying embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Ask for an interview Fig. 1, a kind of magna pump unit online monitoringand diagnose system provided by the invention, comprises air gap sensors 1, current vortex sensor 2, acceleration transducer 3, temperature transducer 4, signal conditioner 6, signal processor 8, WEB server 9, data server 10, user side 11, fire-wall 12, router one 4, Remote subtense angle 15; Air gap sensors 1, current vortex sensor 2, acceleration transducer 3, temperature transducer 4 are separately positioned on the motor stator of pump assembly, in the frame of unit, on the immobilizing foundation of frame, between bearing bush; Air gap sensors 1, current vortex sensor 2, acceleration transducer 3, temperature transducer 4 gather to the conditioning of information respectively through signal conditioner 6 after send signal processor 8 to, signal processor 8 process obtains data and sends WEB server 9, data server 10, user side 11 respectively to, wherein the data of user side 11 are checked for user, the data of WEB server 9 are by sending to Remote subtense angle 15 after fire-wall 12, router one 4, and Remote subtense angle 15 proposes corresponding maintenance measure according to the running state of unit.
The air gap sensors 1 of the present embodiment, current vortex sensor 2, acceleration transducer 3, temperature transducer 4, signal conditioner 6 form now monitor layer 5, signal processor 8 forms information processing layer 7, and WEB server 9, data server 10, user side 11, fire-wall 12 form application service layer 13.
Ask for an interview Fig. 2, the signal processor 8 of the present embodiment comprise data reception module 16, data initialization module 17, message loop puocessing module 18, display modular 19, parameter adjustment module 20, unit monitoring modular 21, exit monitoring modular 22, password authentication module 23, first data memory module 24, terminate module 25, hot file read module 26, analysis and processing module 27, data processing module 28, upgrade unit picture module 29, unit abnormal judge module 30, acoustooptic alarm module 31, second data memory module 32; The data that data reception module 16 obtains from signal conditioner 6 enter in message loop puocessing module 18 after data initialization module 17 initialization, message loop puocessing module 18 respectively with display modular 19, parameter adjustment module 20, unit monitoring modular 21, exit monitoring modular 22 both-way communication, display modular 19 for taking out data and showing various waveform and frequency spectrum picture from message loop puocessing module 18, parameter adjustment module 20 obtains different set states for adjusting unit parameter, and unit monitoring modular 21 is for obtaining the working state of every platform unit; When needs exit monitoring, send exit name by exiting monitoring modular 22, and after password authentication module 23 is verified, there is the first data memory module 24 in related data, exit monitoring system finally by end module 25; If password authentication module 23 verify not by, then by message loop puocessing module 18 continue monitoring unit state; Message loop puocessing module 18 and hot file read module 26, analysis and processing module 27, data processing module 28, upgrade unit picture module 29, the abnormal judge module 30 of unit, acoustooptic alarm module 31, second data memory module 32 be connected successively, forms a closed loop subtense angle; Automatically from message loop puocessing module 18, hot file is read in real time with hot file read module 26, puocessing module 27, data processing module 28 by analysis again, upgrade after completing to send into and upgrade unit picture module 29, judge through the abnormal judge module 30 of unit again, if do not have fault directly to store related data by the second data memory module 32, finally related data is sent into message loop puocessing module 18; If there is fault, after being reported to the police by acoustooptic alarm module 31, then stores related data by the second data memory module 32, finally related data is sent into message loop puocessing module 18.
Ask for an interview Fig. 3, the Remote subtense angle 15 of the present embodiment comprises Universal Database 33, each unit private database 34, static database 35, dynamic data base 36, interpreter 37, processed offline module 38, symptoms abstraction module 39, reasoning module 40, parameter adjustment module 41, online help module 42, study subtense angle 43, fault go through memory module 44, human-computer interaction interface module 45, context memory module 46; Static database 35 is for storing the relevant parameter of unit, and dynamic data base 36 is for storing the running state data of unit; Data or be directly presented in human-computer interaction interface module 45 after being explained by interpreter 37 in Universal Database 33, each unit private database 34, or be presented at human-computer interaction interface module 45 in through context memory module 46, symptoms abstraction module 39, processed offline module 38 after processing with this after finding corresponding sign after reasoning module 40 reasoning in Universal Database 33, each unit private database 34, extracting sign; Parameter adjustment module 41 is for revising the relevant parameter in human-computer interaction interface module 45, for human-computer interaction interface module 45, online help module 42 checks that data in static database 35, dynamic data base 36 are to obtain help, study subtense angle 43 enriches the particular content in static database 35, dynamic data base 36 for human-computer interaction interface module 45, the fault learning to obtain by study subtense angle 43 is gone through after fault goes through memory module 44 storage and also can be presented in human-computer interaction interface module 45.
The present embodiment includes computer technology, sensor technology, signal processing technology and artificial intelligence technology, contains whole scopes of business (Real-Time Monitoring, data analysis, early warning and alarming, data management, automatic analysis diagnostic function, equipment state evaluation etc.) of status monitoring.
The sensor technology of the present embodiment comprises tradition and is used for, outside the acceleration of measurement mechanical vibration, displacement and current vortex sensor, further comprises the capacitive transducer for measuring motor field and air gap.
The magnetic field of the present embodiment monitoring function main involving vibrations waveform vibration of cylindrical shell, thrust-bearing (comprise lower bearing bracket on water pump, lead up and down), frequency spectrum, axle center locus, cycloid attitude (comprising the swing that water pump bearing, up and down water are led) and motor and air gap (magnetic field between motivation stators and rotators and air gap).
The data analysis of the present embodiment comprises waveform analysis, phase diagram analysis, power spectrumanalysis, trajectory analysis, spatial axis, Waterfall plot analysis, polar coordinates, pertinent trends analysis.
The early warning and alarming of the present embodiment according to the trend of signal and the trend of signal structure being carried out to the value predicting subsequent period, and to there being out-of-limit possible carrying out report to the police and diagnose.
The present embodiment can realize the continuous monitoring of 24 hours every days, comprises historical data management, trend data management, Surveillance data management.
The automatic analysis diagnostic function of the present embodiment refers to the expert system combined based on artificial neural network, fuzzy control Sum fanction system can realize online, off-line intelligent trouble diagnosis.
The equipment state of the present embodiment is evaluated pin and is referred to evaluate set state, provides appraisal report, and provides detailed evaluating method and the standard of use.
Although this specification more employs air gap sensors 1, current vortex sensor 2, acceleration transducer 3, temperature transducer 4, now monitor layer 5, signal conditioner 6, information processing layer 7, signal processor 8, WEB server 9, data server 10, user side 11, fire-wall 12, application service layer 13, router one 4, Remote subtense angle 15, data reception module 16, data initialization module 17, message loop puocessing module 18, display modular 19, parameter adjustment module 20, unit monitoring modular 21, exit monitoring modular 22, password authentication module 23, first data memory module 24, terminate module 25, hot file read module 26, analysis and processing module 27, data processing module 28, upgrade unit picture module 29, the abnormal judge module 30 of unit, acoustooptic alarm module 31, second data memory module 32, Universal Database 33, each unit private database 34, static database 35, dynamic data base 36, interpreter 37, processed offline module 38, symptoms abstraction module 39, reasoning module 40, parameter adjustment module 41, online help module 42, study subtense angle 43, fault goes through memory module 44, human-computer interaction interface module 45, term such as context memory module 46 grade, but do not get rid of the possibility using other terms.Use these terms to be only used to describe essence of the present invention more easily, the restriction that they are construed to any one additional is all contrary with spirit of the present invention.
Should be understood that, the part that this specification does not elaborate all belongs to prior art.
Should be understood that; the above-mentioned description for preferred embodiment is comparatively detailed; therefore the restriction to scope of patent protection of the present invention can not be thought; those of ordinary skill in the art is under enlightenment of the present invention; do not departing under the ambit that the claims in the present invention protect; can also make and replacing or distortion, all fall within protection scope of the present invention, request protection domain of the present invention should be as the criterion with claims.
Claims (3)
1. a magna pump unit online monitoringand diagnose system, is characterized in that: comprise air gap sensors (1), current vortex sensor (2), acceleration transducer (3), temperature transducer (4), signal conditioner (6), signal processor (8), WEB server (9), data server (10), user side (11), fire-wall (12), router (14), Remote subtense angle (15);
Described air gap sensors (1), current vortex sensor (2), acceleration transducer (3), temperature transducer (4) are separately positioned on the motor stator of pump assembly, in the frame of unit, on the immobilizing foundation of frame, between bearing bush;
Described air gap sensors (1), current vortex sensor (2), acceleration transducer (3), temperature transducer (4) gather to the conditioning of information respectively through described signal conditioner (6) after send described signal processor (8) to, signal processor (8) process obtains data and sends described WEB server (9) respectively to, data server (10), user side (11), wherein the data of user side (11) are checked for user, the data of described WEB server (9) are by described fire-wall (12), described Remote subtense angle (15) is sent to after router (14), Remote subtense angle (15) proposes corresponding maintenance measure according to the running state of unit.
2. magna pump unit online monitoringand diagnose system according to claim 1, it is characterized in that: described signal processor (8) comprises data reception module (16), data initialization module (17), message loop puocessing module (18), display modular (19), parameter adjustment module (20), unit monitoring modular (21), exit monitoring modular (22), password authentication module (23), first data memory module (24), terminate module (25), hot file read module (26), analysis and processing module (27), data processing module (28), upgrade unit picture module (29), the abnormal judge module (30) of unit, acoustooptic alarm module (31), second data memory module (32),
The data that described data reception module (16) obtains from described signal conditioner (6) enter in message loop puocessing module (18) after data initialization module (17) initialization, described message loop puocessing module (18) respectively with described display modular (19), parameter adjustment module (20), unit monitoring modular (21), exit monitoring modular (22) both-way communication, described display modular (19) for taking out data and showing various waveform and frequency spectrum picture from message loop puocessing module (18), described parameter adjustment module (20) obtains different set states for adjusting unit parameter, described unit monitoring modular (21) is for obtaining the working state of every platform unit, when needs exit monitoring, send exit name by the described monitoring modular (22) that exits, and after described password authentication module (23) is verified, there is described first data memory module (24) in related data, exits monitoring system finally by described end module (25), if the checking of described password authentication module (23) not by, then monitored the state of unit by the continuation of described message loop puocessing module (18),
Described message loop puocessing module (18) and described hot file read module (26), analysis and processing module (27), data processing module (28), upgrade unit picture module (29), the abnormal judge module (30) of unit, acoustooptic alarm module (31), the second data memory module (32) be connected successively, forms a closed loop subtense angle; Automatically from described message loop puocessing module (18), hot file is read in real time with described hot file read module (26), again through described analysis and processing module (27), data processing module (28), upgrade after completing and send into described renewal unit picture module (29), judge through the abnormal judge module (30) of described unit again, if do not have fault directly to store related data by described second data memory module (32), finally related data is sent into described message loop puocessing module (18); If there is fault, after being reported to the police by described acoustooptic alarm module (31), then stores related data by described second data memory module (32), finally related data is sent into described message loop puocessing module (18).
3. magna pump unit online monitoringand diagnose system according to claim 1, it is characterized in that: described Remote subtense angle (15) comprises Universal Database (33), each unit private database (34), static database (35), dynamic data base (36), interpreter (37), processed offline module (38), symptoms abstraction module (39), reasoning module (40), parameter adjustment module (41), online help module (42), study subtense angle (43), fault goes through memory module (44), human-computer interaction interface module (45), context memory module (46), described static database (35) is for storing the relevant parameter of unit, and dynamic data base (36) is for storing the running state data of unit,
Data or be directly presented on described human-computer interaction interface module (45) after being explained by described interpreter (37) in described Universal Database (33), each unit private database (34), or be presented at described human-computer interaction interface module (45) on through described context memory module (46), symptoms abstraction module (39), processed offline module (38) after processing with this by find corresponding sign, extraction sign after described reasoning module (40) reasoning in described Universal Database (33), each unit private database (34) after;
Described parameter adjustment module (41) is for revising the relevant parameter in described human-computer interaction interface module (45), described online help module (42) checks described static database (35) for described human-computer interaction interface module (45), data in dynamic data base (36) are to obtain help, described study subtense angle (43) enriches described static database (35) for described human-computer interaction interface module (45), particular content in dynamic data base (36), the fault obtained by described study subtense angle (43) study is gone through after fault goes through memory module (44) storage and also can be presented on described human-computer interaction interface module (45).
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| CN111458142A (en) * | 2020-04-02 | 2020-07-28 | 苏州智传新自动化科技有限公司 | Sliding bearing fault diagnosis method based on generation of countermeasure network and convolutional neural network |
| CN111639742A (en) * | 2020-05-22 | 2020-09-08 | 安徽科技学院 | System and method for diagnosing state fault of desulfurization and denitrification circulating pump |
| CN114526127A (en) * | 2022-01-07 | 2022-05-24 | 呼伦贝尔安泰热电有限责任公司海拉尔热电厂 | Steam turbine valve flow characteristic test system |
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