CN112746935A - Wind turbine generator system trouble intelligent monitoring system - Google Patents
Wind turbine generator system trouble intelligent monitoring system Download PDFInfo
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- CN112746935A CN112746935A CN202110084807.8A CN202110084807A CN112746935A CN 112746935 A CN112746935 A CN 112746935A CN 202110084807 A CN202110084807 A CN 202110084807A CN 112746935 A CN112746935 A CN 112746935A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 48
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 12
- 239000010959 steel Substances 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims description 15
- 230000008878 coupling Effects 0.000 claims description 15
- 238000010168 coupling process Methods 0.000 claims description 15
- 238000005859 coupling reaction Methods 0.000 claims description 15
- 230000006870 function Effects 0.000 claims description 9
- 230000036541 health Effects 0.000 claims description 8
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000010146 3D printing Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 19
- 239000002243 precursor Substances 0.000 description 6
- 244000208734 Pisonia aculeata Species 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000013135 deep learning Methods 0.000 description 1
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- 238000009434 installation Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 229920003229 poly(methyl methacrylate) Polymers 0.000 description 1
- 239000004926 polymethyl methacrylate Substances 0.000 description 1
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- 230000035943 smell Effects 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
- B25J19/02—Sensing devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J5/00—Manipulators mounted on wheels or on carriages
- B25J5/007—Manipulators mounted on wheels or on carriages mounted on wheels
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- General Engineering & Computer Science (AREA)
- Manipulator (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses an intelligent fault monitoring system for a wind turbine generator, which relates to the technical field of wind turbine generator safety and comprises a pipeline, a robot, a server and a traction and retraction device, wherein the pipeline is a transparent pipeline and is designed and arranged according to the internal structure of a generator cabin, the pipeline is provided with a plurality of station positioning pieces, a station acquisition card is arranged in the robot, one or more sensors of a front-end vision sensor, a sound sensor, a temperature and humidity sensor or a combustible gas sensor of the robot are arranged in the pipeline, the robot is in communication connection with the server, the traction and retraction device is arranged at the port of the pipeline, and the traction and retraction device is connected with the tail end of the robot through a steel wire rope. The system has the advantages of unlimited inspection height, no obstacle of an inspection path, accurate positioning, wide monitoring range, safety, reliability and complete monitoring data acquisition and analysis.
Description
Technical Field
The invention relates to the technical field of wind turbine generator safety, in particular to an intelligent wind turbine generator fault monitoring system.
Background
The robot is commonly used in wind turbine generator system fault monitoring, and most carry on required sensor with the tracked vehicle form and monitor, because the space environment at wind turbine generator system place is fairly complicated, has a great deal of problem when tracked robot carries out fault monitoring, specifically as follows.
1. The height problem of routing inspection: generally, the vertical height of an inspection part is about 1.6m under the influence of the particularity of the environment of a cabin of a wind turbine generator, and most of track robots available in the wind turbine generator cannot be monitored in practical application.
2. The problem of the actual routing inspection path obstacle is as follows: most wind turbine generator systems are compact in cabin environment and very limited in space, hoisting or installation parts are arranged at a plurality of positions, a plurality of obstacles exist in an inspection path, and a crawler robot cannot climb over the obstacle, so that the inspection path is difficult to design, and even comprehensive inspection cannot be completed.
3. The communication problem is as follows: the existing wind turbine generator system has few vacant point positions in the engine room, most of the tracked robots are in independent communication and independent transmission, and due to the fact that the point positions are few and the independent communication is adopted, the fed-back information cannot truly reflect and feed back the current situation of the wind turbine generator system.
4. Problem of monitoring range: due to the special structure of the engine room in the wind turbine generator, many places can be shielded, so that monitoring is not comprehensive; under the influence of the height of unit equipment, the conventional tracked robot cannot realize overlook monitoring and cannot shoot pictures or animations of overlook surrounding visual effects.
5. Safety: the wind turbine generator is influenced by wind acting force and vibrates with a transmission system, and the crawler robot is easy to overturn, block or fall due to the fact that the platform is high or low, so that the wind turbine generator is greatly influenced.
6. Monitoring for incompleteness and lack of data acquisition and analysis: the inspection system needs 24 hours to monitor the wind turbine generator so as to perform daily early warning, analysis, acquisition, storage, comparison and other functions on various unsafe factors or problematic components of the wind turbine generator, the inspection system and the wind turbine generator should be in linkage coordination with data of the wind turbine generator, and the conventional tracked robot or the inspection system cannot achieve the target.
Disclosure of Invention
Therefore, the invention provides an intelligent monitoring system for faults of a wind turbine generator, which aims to solve the technical problems.
In order to achieve the above purpose, the invention provides the following technical scheme:
an intelligent wind turbine generator system fault monitoring system, comprising:
the transparent pipeline is designed and arranged according to the internal structure of the unit cabin, and is provided with a plurality of station positioning sheets which are distributed at intervals along the length direction;
the robot that can follow the pipeline was marchd, the built-in website collection card of robot, the front end of robot is equipped with adjustable pitch angle and can be perpendicular to pitch angle regulation axis rotation 360 cloud platforms, the cloud platform is equipped with one or more sensors in vision sensor, sound transducer, temperature and humidity sensor or the combustible gas sensor, the robot is connected with the server communication with the website information of transmission website collection card collection and the monitoring data of sensor collection.
Furthermore, the pipeline is provided with a plurality of pipelines which cover each monitoring point of the wind turbine generator, and each pipeline is internally provided with one robot.
Further, the robot includes precursor, after-body, drive wheel and driving motor, the precursor with after-body coupling, the drive wheel is equipped with six, six the drive wheel sets up respectively in the front end left and right sides of precursor, after-body rear end left and right sides and body coupling department left and right sides, driving motor is equipped with threely, and three driving motor sets up respectively in the front portion of precursor, after-body rear portion and body coupling department, and three driving motor is connected with adjacent a certain drive wheel transmission respectively.
Further, the front body and the rear body are printed and formed by adopting a 3D printing technology.
Further, the robot further comprises a deformation motor, the deformation motor is arranged at the body coupling position, a motor shaft of the deformation motor is connected with a driving motor located at the body coupling position, the deformation motor is fixedly connected with the front body or the rear body, the driving motor located at the body coupling position is fixedly connected with the front body or the rear body, and the driving motor located at the body coupling position is fixedly connected with different bodies.
Further, the robot is still including setting up in the every single move motor and the corner motor at precursor middle part, the cloud platform includes shoulder neck and head, shoulder neck hub connection in the front end of precursor, just the cross axle that the shoulder neck can follow the left right direction rotates, shoulder neck with the every single move motor transmission is connected, the head set up in the front end of shoulder neck, just the head can be followed the vertical axis rotation of perpendicular to cross axle, the head with the corner motor transmission is connected.
Furthermore, wind turbine generator system trouble intelligent monitoring system still includes the cable, the cable includes power cord, control line and data line, the power cord is connected with website collection card, each motor and each sensor, the control line is connected with each motor and each sensor, the data line is connected with website collection card and each sensor.
Further, wind turbine generator system trouble intelligent monitoring system still includes pulls the pull-back device and wire rope, pull the pull-back device set up in the port department of pipeline, wire rope's one end connect in pull the pull-back device, wire rope's the other end connect in the tail end of robot, it can receive and release to pull the pull-back device wire rope.
Furthermore, the server has the functions of creating a health model according to the data, comparing and analyzing the new data and the health model, automatically identifying the abnormity and alarming under the condition of over-running.
The invention has the following advantages:
the pipeline is used as a carrier of the robot, the robot can move in the pipeline to monitor equipment on the side of the pipeline, and the pipeline can be arranged at different heights due to the fact that the pipeline is designed and arranged according to the internal structure of a machine unit cabin, so that the problem of inspection height is solved; meanwhile, the robot walks in the pipeline, and the obstacle on the routing inspection path can be avoided only by designing and arranging the pipeline according to the internal structure of the machine unit cabin and bypassing the obstacle when the pipeline is laid; the pipeline designed and arranged according to the internal structure of the machine unit cabin can be laid around the equipment in all directions, namely front, back, left, right, upper and lower directions, can cover all monitoring points, and solves the problem of monitoring range; the robot moves in the pipeline, the situations of overturning, blocking or falling and the like can not occur, and the safety is improved; the pipeline is provided with the station positioning sheet, the station is identified through the station acquisition card of the robot, the positioning is accurate, and the current condition of the wind turbine generator can be truly reflected and fed back; the robot sends the detection data to the server, analyzes the data through the server, avoids the problems of incompleteness and missing of data acquisition and analysis, can also accurately identify abnormality, and gives an alarm under the condition of over-running.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope covered by the contents disclosed in the present invention.
Fig. 1 is a schematic diagram of an intelligent monitoring system for a fault of a wind turbine generator according to an embodiment of the present invention;
fig. 2 is a front view of a robot of the intelligent wind turbine fault monitoring system according to the embodiment of the present invention;
fig. 3 is a top view of a robot of the intelligent wind turbine fault monitoring system according to the embodiment of the present invention;
fig. 4 is a perspective view of a robot of the intelligent wind turbine fault monitoring system according to the embodiment of the present invention;
FIG. 5 is a cross-sectional view taken along line A-A of FIG. 2;
FIG. 6 is a cross-sectional view taken along line B-B of FIG. 2;
FIG. 7 is a cross-sectional view taken along line C-C of FIG. 2;
FIG. 8 is a cross-sectional view taken along line D-D of FIG. 2;
FIG. 9 is a cross-sectional view taken along line E-E of FIG. 3;
FIG. 10 is a cross-sectional view taken along line F-F of FIG. 3;
fig. 11 is a sectional view taken along line G-G in fig. 3.
In the figure: 1-pipe, 2-robot, 3-traction-pullback device, 4-wire rope, 5-server, 6-cable, 21-front body, 22-back body, 23-drive wheel, 24-drive motor, 25-deformation motor, 26-pitch motor, 27-corner motor, 28-pan-tilt, 281-shoulder-neck, 282-head, 283-sensor.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present specification, the terms "upper", "lower", "left", "right", "middle", and the like are used for clarity of description, and are not intended to limit the scope of the present invention, and changes or modifications in the relative relationship may be made without substantial changes in the technical content.
As shown in fig. 1, an intelligent monitoring system for wind turbine generator system faults includes a plurality of pipelines 1, a plurality of robots 2, a plurality of traction and retraction devices 3, a plurality of steel wire ropes 4, a server 5 and a plurality of cables 6. A robot 2 is arranged in each pipeline 1, the tail end of each robot 2 is connected with a steel wire rope 4 and a cable 6, the steel wire rope 4 is connected with a traction and pull-back device 3 positioned at the port of the pipeline 1, and the cable 6 is connected with a server 5 of a remote monitoring station. The server 5 may be a fixed computer or a handheld electronic device.
The server 5 has the functions of establishing a health model according to data, comparing and analyzing the new data and the health model, automatically identifying abnormity and alarming under the condition of over-running. Software is installed in the server 5, the server has a self-learning function, the server is mainly used for recording, acquiring and analyzing data fed back by various sensors 283 in the first inspection process of the robot 2, the data acquired from the second inspection is compared and analyzed with the first data, and by analogy, the health model data of the wind generating set can be acquired in a certain period, and when the wind generating set has a problem, accurate analysis and alarm prompt can be made according to the self-learned health model; specifically, the automatic identification of the abnormal state of the equipment is realized by utilizing the established database of images, audios, smells and the like of the cabin of the wind turbine generator through the technologies of machine learning, deep learning and the like, the field automatic inspection of the wind turbine generator is realized, and the alarm can be given in time when the conditions of oil leakage, abnormal sound, overtemperature and the like exceeding the operation conditions occur. Software is developed according to functions to be realized, and although new design or code writing is performed, the software is based on the existing computer technology and is not described in detail herein. In an alternative embodiment, the software can also be integrated in a microcomputer in the robot 2.
The pipeline 1 material adopts polymethyl methacrylate (organic glass) and PVC pipeline 1 to combine, and it has characteristics such as transparency, stability and thermoplasticity, and its high transparency has realized that high definition camera can clear each monitoring point of observation equipment at 1 inner wall of pipeline, and the thermoplasticity can realize pipeline 1's route change requirement, successfully avoids the inside device obstacle of cabin, accomplishes the detection task to each monitoring point. In addition, the organic glass has lower density, thereby reducing the weight of the pipeline 1. The pipelines 1 are designed and arranged according to the internal structure of the unit cabin, and a plurality of pipelines 1 pass through the periphery of components including a main shaft bolt, a gear box, a generator, a cabin cabinet and the like in the unit cabin, or are high, low, front, back, left and right in a surrounding mode, so that a routing inspection path which is enough to cover each monitoring point is provided for the robot 2. The pipe 1 is provided with a plurality of station spacers spaced apart along its length to provide accurate positioning.
The robot 2 is provided within the pipeline 1 and can travel along the pipeline 1. The robot 2 is internally provided with a site acquisition card, and the positioning function is realized by acquiring magnetic steel signal information through the site acquisition card; meanwhile, the robot 2 is driven by a motor, and a motor encoder for counting the number of rotation turns of the motor is arranged on the motor, so that a dual positioning function is achieved.
As shown in fig. 2-11, a pan tilt 28 capable of adjusting the pitch angle and rotating 360 ° perpendicular to the pitch angle adjustment axis is disposed at the front end of the robot 2, the pan tilt 28 is disposed with one or more sensors 283 among a vision sensor, a sound sensor, a temperature and humidity sensor, or a combustible gas sensor, and the robot 2 is in communication connection with the server 5 to transmit site information collected by the site collection card and monitoring data collected by the sensor 283.
The robot 2 includes a front body 21, a rear body 22, a driving wheel 23, and a driving motor 24. The front body 21 and the rear body 22 are printed and formed by adopting a 3D printing technology so as to reduce the quality and facilitate driving and traction. The front body 21 is coupled to the rear body 22. The number of the driving wheels 23 is six, the six driving wheels 23 are respectively arranged on the left side and the right side of the front end of the front body 21, the left side and the right side of the rear end of the rear body 22 and the left side and the right side of a body shaft joint, the number of the driving motors 24 is three, the three driving motors 24 are respectively arranged on the front portion of the front body 21, the rear portion of the rear body 22 and the body shaft joint, and the three driving motors 24 are respectively in transmission connection with one adjacent driving wheel 23. The robot 2 further comprises a deformation motor 25, the deformation motor 25 is arranged at the body coupling position, a motor shaft of the deformation motor 25 is connected with a driving motor 24 located at the body coupling position, the deformation motor 25 is fixedly connected with the front body 21 or the rear body 22, the driving motor 24 located at the body coupling position is fixedly connected with the front body 21 or the rear body 22, and the driving motor 24 located at the body coupling position and the deformation motor 25 are fixedly connected with different bodies. When the robot 2 is pulled back in the pipeline 1, the driving motor 24 gives up control, so that the driving wheel 23 rotates freely, and the pulling back is convenient; when the robot 2 moves forward, the motor shaft of the deformation motor 25 rotates by a certain angle, so that the robot 2 is in a V shape or an inverted V shape, and the driving wheel 23 is attached to the inner wall of the pipeline 1 and is beneficial to walking. In order to make the robot 2 more stable in the pipeline 1, an inverted V shape is generally adopted, two driving wheels 23 in the middle are abutted against the upper side of the inner wall of the pipeline 1, the other four driving wheels 23 are abutted against the lower side of the inner wall of the pipeline 1, and simultaneously, the driving motor 24 in the middle and the front and rear driving motors 24 rotate in opposite directions so as to make the robot 2 normally walk. The robot 2 adopts a direct-current brushless servo motor as a driving motor 24, can accurately control the rotating speed and the torque of the robot 2, and achieves the purpose of stability and controllability of the robot 2 moving on the inner wall of the pipeline 1.
The robot 2 further includes a pitching motor 26 and a rotation angle motor 27 which are arranged in the middle of the front body 21, the head 28 includes a shoulder neck portion 281 and a head portion 282, the shoulder neck portion 281 is connected to the front end of the front body 21 in an axial manner, the shoulder neck portion 281 can rotate along a horizontal axis in the left-right direction, the shoulder neck portion 281 is in transmission connection with the pitching motor 26, the head portion 282 is arranged at the front end of the shoulder neck portion 281, the head portion 282 can rotate along a vertical axis perpendicular to the horizontal axis, and the head portion 282 is in transmission connection with the rotation angle motor 27. Like this every single move and rotation of steerable cloud platform 28, in pipeline 1, can be to a plurality of monitoring points data acquisition around pipeline 1, the laying of many pipelines 1 of cooperation realizes multi-angle data acquisition, the monitoring to a certain monitoring point. In an alternative embodiment, a dual-spectrum high-definition camera and an infrared high-definition camera are mounted on the pan-tilt 28, and video data acquisition is performed on a monitoring point.
The cable 6 includes a power line, a control line, and a data line. The power line is connected with the site acquisition card, each motor and each sensor 283. The control lines are connected to the motors and the sensors 283. The data lines are connected to the site acquisition card and to the sensors 283. In a preferred scheme, an optical fiber communication mode is adopted to mainly complete control data interaction, data interaction (such as video, audio, thermal imaging, smoke, temperature and humidity and the like) of the sensor 283 and communication of the handheld operation terminal.
The traction and retraction device 3 is arranged at the port of the pipeline 1, one end of a steel wire rope 4 is connected to the traction and retraction device 3, the other end of the steel wire rope 4 is connected to the tail end of the robot 2, and the traction and retraction device 3 can retract and release the steel wire rope 4. When the robot 2 travels in the pipeline 1, the traction and retraction device 3 is in paying-off operation, when the robot 2 needs to be retracted, the traction and retraction device 3 slowly retracts the robot 2 according to a set speed, and at the moment, the driving motors 24 of the robot 2 all give up control to enable the driving wheels 23 to rotate freely. On one hand, the loss of the motor in the operation of the robot 2 can be reduced, and the trolley can be recycled; on the other hand, the data transmission of the robot 2 can be matched with the carrying of the robot, so that the cable 6 is prevented from being dragged, and the data transmission is more accurate and faster.
According to the intelligent monitoring system for the faults of the wind turbine generator, the pipeline 1 is used as a carrier of the robot 2, the robot 2 can travel in the pipeline 1 to monitor equipment on the edge of the pipeline 1, and the pipeline 1 can be arranged at different heights due to the fact that the pipeline 1 is designed and arranged according to the internal structure of a generator cabin, and the problem of inspection height is solved; meanwhile, the robot 2 walks in the pipeline 1, and the obstacle on the routing inspection path can be avoided only by designing and arranging the pipeline 1 according to the internal structure of the machine unit cabin and bypassing the obstacle when the pipeline 1 is laid; the pipeline 1 designed and arranged according to the internal structure of the machine unit cabin can be laid around the equipment in all directions, namely the front, the back, the left, the right, the upper and the lower directions, can cover all monitoring points, and solves the problem of monitoring range; the robot 2 moves in the pipeline 1, the situations of overturning, blocking or falling and the like can not occur, and the safety is improved; a station positioning sheet is arranged on the pipeline 1, and the station is identified through a station acquisition card of the robot 2, so that the positioning is accurate, and the current condition of the wind turbine generator can be truly reflected and fed back; the robot 2 sends the detection data to the server 5, analyzes the data through the server 5, avoids the problems of incompleteness and missing of data acquisition and analysis, can also accurately identify abnormality, and gives an alarm under the condition of over-running.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. The utility model provides a wind turbine generator system trouble intelligent monitoring system which characterized in that includes:
the transparent pipeline is designed and arranged according to the internal structure of the unit cabin, and is provided with a plurality of station positioning sheets which are distributed at intervals along the length direction;
the robot that can follow the pipeline was marchd, the built-in website collection card of robot, the front end of robot is equipped with adjustable pitch angle and can be perpendicular to pitch angle regulation axis rotation 360 cloud platforms, the cloud platform is equipped with one or more sensors in vision sensor, sound transducer, temperature and humidity sensor or the combustible gas sensor, the robot is connected with the server communication with the website information of transmission website collection card collection and the monitoring data of sensor collection.
2. The intelligent wind turbine generator system fault monitoring system according to claim 1, wherein a plurality of pipelines are provided, each pipeline covers each monitoring point of the wind turbine generator, and one robot is provided in each pipeline.
3. The wind turbine generator system fault intelligent monitoring system according to claim 1, wherein the robot comprises a front body, a rear body, driving wheels and driving motors, the front body is connected with the rear body through a shaft, the driving wheels are provided with six driving wheels, the six driving wheels are respectively arranged on the left side and the right side of the front end of the front body, the left side and the right side of the rear end of the rear body and the left side and the right side of the shaft of the body, the driving motors are three, the three driving motors are respectively arranged on the front portion of the front body, the rear portion of the rear body and the shaft of the body, and the three driving motors are respectively in transmission connection with one adjacent driving wheel.
4. The intelligent wind turbine generator system fault monitoring system according to claim 3, wherein the front body and the rear body are printed and molded by a 3D printing technology.
5. The intelligent wind turbine generator system fault monitoring system according to claim 3, wherein the robot further comprises a deformation motor, the deformation motor is arranged at the body coupling, a motor shaft of the deformation motor is connected with a driving motor located at the body coupling, the deformation motor is fixedly connected with the front body or the rear body, the driving motor located at the body coupling is fixedly connected with the front body or the rear body, and the driving motor located at the body coupling is fixedly connected with different bodies together with the deformation motor.
6. The intelligent wind turbine generator system fault monitoring system according to claim 5, wherein the robot further comprises a pitch motor and a corner motor which are arranged in the middle of the front body, the cradle head comprises a shoulder neck and a head, the shoulder neck is connected to the front end of the front body in an axial mode, the shoulder neck can rotate along a transverse axis in the left-right direction, the shoulder neck is connected with the pitch motor in a transmission mode, the head is arranged at the front end of the shoulder neck, the head can rotate along a vertical axis perpendicular to the transverse axis, and the head is connected with the corner motor in a transmission mode.
7. The intelligent wind turbine generator system fault monitoring system according to claim 6, further comprising a cable, wherein the cable comprises a power line, a control line and a data line, the power line is connected with the site acquisition card, each motor and each sensor, the control line is connected with each motor and each sensor, and the data line is connected with the site acquisition card and each sensor.
8. The intelligent monitoring system for wind turbine generator system faults as claimed in claim 7, further comprising a traction and retraction device and a steel wire rope, wherein the traction and retraction device is arranged at the port of the pipeline, one end of the steel wire rope is connected to the traction and retraction device, the other end of the steel wire rope is connected to the tail end of the robot, and the traction and retraction device can retract the steel wire rope.
9. The wind turbine generator system fault intelligent monitoring system according to any one of claims 1-8, wherein the server has functions of creating a health model according to data, comparing and analyzing new data and the health model, automatically identifying an abnormality, and alarming in an over-running condition.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
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CN101973028A (en) * | 2010-10-15 | 2011-02-16 | 北京航空航天大学 | Multi-joint series wheeled mobile robot |
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