CN117514646A - Dynamic inspection analysis method and system for ground type fan blade - Google Patents
Dynamic inspection analysis method and system for ground type fan blade Download PDFInfo
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- CN117514646A CN117514646A CN202311561268.8A CN202311561268A CN117514646A CN 117514646 A CN117514646 A CN 117514646A CN 202311561268 A CN202311561268 A CN 202311561268A CN 117514646 A CN117514646 A CN 117514646A
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- 238000007689 inspection Methods 0.000 title claims abstract description 42
- 238000004458 analytical method Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 8
- 230000004927 fusion Effects 0.000 claims abstract description 4
- 230000007547 defect Effects 0.000 claims description 14
- 238000013523 data management Methods 0.000 claims description 13
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 230000007797 corrosion Effects 0.000 claims description 3
- 238000005260 corrosion Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 239000003973 paint Substances 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims 1
- 230000018109 developmental process Effects 0.000 claims 1
- 230000009194 climbing Effects 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000001174 ascending effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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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
-
- 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
- F03D7/00—Controlling wind motors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The invention discloses a dynamic inspection analysis method and a dynamic inspection analysis system for a ground fan blade, which belong to the technical field of fan blade inspection and comprise a hardware data acquisition module and a software data processing module, wherein the hardware data acquisition module comprises a laser remote sensing module, a laser data modeling module, a multi-axis linkage holder module and a high-speed camera module, the laser remote sensing module is arranged at a ground position, and the laser remote sensing module is used for confirming blade coordinates by measuring the distance between rotating blades; the laser data modeling is used for carrying out fusion modeling on the data of the laser remote sensing module, and acquiring three-dimensional space position information of the fused blade; the personnel climbing is avoided, the risk caused by accidental impact of the inspection equipment on the fan is avoided, and the inspection operation efficiency can be greatly improved.
Description
Technical Field
The invention relates to the field of fan blade inspection, in particular to a dynamic inspection analysis method and system for a ground type fan blade.
Background
At present, for fan inspection, a main stream inspection mode still adopts a manual telescope for inspection or an unmanned aerial vehicle for shutdown inspection. Moreover, because the automation level is insufficient, the fan is required to stop in the current inspection, and the problems that the time for stopping the fan for inspection is long, part of defects are difficult to evaluate when the blades do not rotate, and the risk of high-altitude operation of personnel or equipment exists are needed to be solved.
The invention discloses an intelligent inspection system for fan blades and an inspection method for fan blades, wherein the intelligent inspection system comprises a task management system, a task processing system, a data analysis system and a data acquisition system, wherein the task management system is in signal connection with the task processing system, and the task management system is used for carrying out unified planning management on inspection tasks and enabling the tasks to reach the task processing system. The problem of need for shutdown inspection is still not solved.
Disclosure of Invention
The invention discloses a dynamic inspection analysis system for a ground fan blade, which comprises a hardware data acquisition module and a software data processing module, wherein the hardware data acquisition module comprises a laser remote sensing module, a laser data modeling module, a multi-axis linkage holder module and a high-speed camera module, the laser remote sensing module is arranged at a ground position, and the laser remote sensing module is used for determining the coordinates of the blade by measuring the distance between the rotating blade; the laser data modeling is used for carrying out fusion modeling on the data of the laser remote sensing module, and acquiring three-dimensional space position information of the fused blade; the multi-axis linkage holder module is used for adjusting the position of the high-speed camera module installed together with the multi-axis linkage holder module according to the rotating position of the blade, and driving the high-speed camera module to rotate with the blade at the same frequency.
Further, the software processing module comprises a patrol control module, a data management module, an artificial intelligent algorithm module and a patrol report module, wherein the patrol control module is used for adjusting the rotation speed of the multi-axis linkage holder module by predicting the rotation speed of the fan blade and controlling the high-speed camera module to shoot; the data management module is used for storing and managing the data of the laser remote sensing module and the fan image data acquired by the high-speed camera module; the artificial intelligent algorithm module is used for splicing the image data of the fan, training and identifying the defect types; the inspection report module is used for generating an inspection report and analyzing and displaying inspection results.
Further, the multi-axis linkage tripod head module is provided with three groups of linkage units, each group of linkage units is provided with a group of high-speed camera modules, the multi-axis linkage tripod head module controls the high-speed camera modules to perform circumferential rotation, and the multi-axis linkage tripod head module can adjust shooting positions of the blades in rotation of the high-speed camera modules.
Further, the laser data modeling processes the blade coordinates acquired by the laser remote sensing module to generate position information of a three-dimensional space of the blade, and the position information is used for controlling the multi-axis linkage holder module to control, track and shoot the fan blade.
A dynamic inspection analysis method for a ground fan blade comprises,
step S1, measuring distance of the rotating blade through a laser remote sensing module, and converting coordinate positions of distance measurement data to obtain position information of the blade in a three-dimensional space.
And S2, adjusting the position of the high-speed camera module through the multi-axis linkage holder module, driving the high-speed camera module to rotate, keeping the rotation frequency consistent with the rotation frequency of the blades, and photographing each blade at one by one position, wherein each position comprises a front edge, a windward side, a leeward side and a rear edge.
And S3, respectively taking a group of photos at each position by using the high-speed camera module, storing the photos into the data management module according to the shooting time, and simultaneously storing the three-dimensional space position information acquired by the laser remote sensing module according to time.
And S4, the artificial intelligence algorithm module acquires stored image data in the data management module, splices the pictures, and performs defect identification on the spliced images, wherein the defect identification types comprise gel coat falling, transverse cracks, surface paint falling, appearance layering, surface damage and front edge corrosion.
Further, each group of photos is spliced with the real lengths of the three fan blades according to at least one quarter of overlapping degree, and the photos are named and stored according to shooting positions.
Compared with the prior art, the invention has the beneficial effects that: (1) According to the invention, the high-speed camera module can be controlled through the holder, the rotating fan blade is positioned and photographed, the images are spliced, the blade defect is identified through an artificial intelligent algorithm, and the inspection shutdown cost is reduced; (2) The invention can automatically complete the image acquisition, thereby avoiding personnel ascending, avoiding the risk caused by accidental impact of the inspection equipment on the fan, and greatly improving the inspection operation efficiency.
Drawings
Reference numerals: 101-a laser remote sensing module; 102-modeling laser data; 103-a multi-axis linkage holder module; 104-a high-speed camera module; 201, a patrol control module; 202-a data management module; 203-an artificial intelligence algorithm module; 204-a patrol report module.
FIG. 1 is a block diagram of a hardware data acquisition module according to the present invention.
FIG. 2 is a block diagram of the software data processing module of the present invention.
FIG. 3 illustrates an exemplary step in the blade inspection analysis of the present invention.
Detailed Description
Examples: as shown in fig. 1 and fig. 2, the system is a ground type fan blade dynamic inspection analysis system, and comprises a hardware data acquisition module and a software data processing module, wherein the hardware data acquisition module comprises a laser remote sensing module 101, a laser data modeling 102, a multi-axis linkage holder module 103 and a high-speed camera module 104, the laser remote sensing module 101 is arranged at a ground position, and the laser remote sensing module 101 is used for determining blade coordinates by measuring the distance between rotating blades; the laser data modeling 102 is used for performing fusion modeling on the data of the laser remote sensing module 101 to obtain three-dimensional space position information of the fused blade; the multi-axis linkage holder module 103 is used for adjusting the position of the high-speed camera module 104 mounted with the multi-axis linkage holder module 103 according to the rotation position of the blade, and driving the high-speed camera module 104 to rotate with the blade at the same frequency.
The software processing module comprises a patrol control module 201, a data management module 202, an artificial intelligent algorithm module 203 and a patrol report module 204, wherein the patrol control module 201 is used for adjusting the rotation speed of the multi-axis linkage holder module 103 by predicting the rotation speed of the fan blade and controlling the high-speed camera module 104 to shoot; the data management module 202 is used for storing and managing the data of the laser remote sensing module 101 and the fan image data acquired by the high-speed camera module 104; the artificial intelligence algorithm module 203 is used for splicing the fan image data, training and identifying the defect types; the inspection report module 204 is configured to generate an inspection report, and analyze and display an inspection result.
The multi-axis linkage tripod head module 103 is provided with three groups of linkage units, a group of high-speed camera modules 104 are arranged on each group of linkage units, the multi-axis linkage tripod head module 103 controls the high-speed camera modules 104 to perform circumferential rotation, and the multi-axis linkage tripod head module 103 can adjust shooting positions of the blades in rotation of the high-speed camera modules 104.
The laser data modeling 102 processes the blade coordinates acquired by the laser remote sensing module 101 to generate position information of a three-dimensional space of the blade, and the position information is used for controlling the multi-axis linkage holder module 103 to control, track and shoot the fan blade.
A dynamic inspection analysis method for a ground fan blade comprises,
step S1, measuring distance of a rotating blade through a laser remote sensing module 101, and converting coordinate positions of distance measurement data to obtain position information of the blade in a three-dimensional space;
step S2, the position of the high-speed camera module 104 is adjusted through the multi-axis linkage holder module 103, the high-speed camera module 104 is driven to rotate, the rotation frequency is consistent with that of the blades, each blade is photographed at one by one position, and one by one position comprises a front edge, a windward side, a leeward side and a rear edge;
step S3, a group of photos are respectively shot at each position by utilizing the high-speed camera module 104, the photos are stored in the data management module 202 according to shooting time, and meanwhile, the three-dimensional space position information acquired by the laser remote sensing module 101 is stored according to time;
and S4, the artificial intelligence algorithm module acquires stored image data in the data management module, splices the pictures, and performs defect identification on the spliced images, wherein the defect identification types comprise gel coat falling, transverse cracks, surface paint falling, appearance layering, surface damage and front edge corrosion.
The defect types in the steps are collected and classified manually in the earlier stage, and the artificial intelligent algorithm module is trained, so that the artificial intelligent algorithm module can accurately identify defects in the shot image.
When the images are spliced, each group of photos are spliced for the real lengths of the three fan blades according to at least one quarter of overlapping degree, the front edge, the windward side, the leeward side and the rear edge are respectively spliced, and the images are named and stored according to shooting positions, such as the rule named images of the windward side of the blade A. When defect identification is required, the stored image file is read.
Claims (6)
1. The utility model provides a ground type fan blade developments analysis system that patrols and examines, includes hardware data acquisition module and software data processing module, its characterized in that: the hardware data acquisition module comprises a laser remote sensing module (101), a laser data modeling module (102), a multi-axis linkage holder module (103) and a high-speed camera module (104), wherein the laser remote sensing module (101) is arranged at the ground position, and the laser remote sensing module (101) is used for determining the blade coordinates by measuring the distance between the rotating blades; the laser data modeling (102) is used for carrying out fusion modeling on the data of the laser remote sensing module (101) to obtain three-dimensional space position information of the fused blade; the multi-axis linkage holder module (103) is used for adjusting the position of the high-speed camera module (104) installed together with the multi-axis linkage holder module (103) according to the rotating position of the blade, and driving the high-speed camera module (104) to rotate with the blade at the same frequency.
2. The system for dynamic inspection analysis of a floor fan blade of claim 1, wherein: the software processing module comprises a patrol control module (201), a data management module (202), an artificial intelligent algorithm module (203) and a patrol report module (204), wherein the patrol control module (201) is used for adjusting the rotation speed of the multi-axis linkage holder module (103) by predicting the rotation speed of the fan blade and controlling the high-speed camera module (104) to shoot; the data management module (202) is used for storing and managing the data of the laser remote sensing module (101) and the fan image data acquired by the high-speed camera module (104); the artificial intelligence algorithm module (203) is used for splicing the fan image data, training and identifying the defect types; the inspection report module (204) is used for generating an inspection report and analyzing and displaying inspection results.
3. The system for dynamic inspection analysis of a floor fan blade of claim 1, wherein: the multi-axis linkage tripod head module (103) is provided with three groups of linkage units, each group of linkage units is provided with a group of high-speed camera modules (104), the multi-axis linkage tripod head module (103) controls the high-speed camera modules (104) to perform circumferential rotation, and the multi-axis linkage tripod head module (103) can adjust shooting positions of blades in rotation of the high-speed camera modules (104).
4. The system for dynamic inspection analysis of a floor fan blade of claim 1, wherein: the laser data modeling (102) processes the blade coordinates acquired by the laser remote sensing module (101) to generate position information of a three-dimensional space of the blade, and the position information is used for controlling the multi-axis linkage holder module (103) to control, track and shoot the fan blade.
5. A dynamic inspection analysis method for a ground fan blade comprises,
step S1, measuring distance of a rotating blade through a laser remote sensing module (101), and converting coordinate positions of distance measurement data to obtain position information of the blade in a three-dimensional space;
s2, adjusting the position of a high-speed camera module (104) through a multi-axis linkage holder module (103), driving the high-speed camera module (104) to rotate, keeping the rotation frequency consistent with that of the blades, and photographing each blade at one by one position, wherein each position comprises a front edge, a windward side, a leeward side and a rear edge;
step S3, a group of photos are shot at each position by utilizing a high-speed camera module (104), the photos are stored in a data management module (202) according to shooting time, and simultaneously, three-dimensional space position information acquired by a laser remote sensing module (101) is stored according to time;
and S4, the artificial intelligence algorithm module acquires stored image data in the data management module, splices the pictures, and performs defect identification on the spliced images, wherein the defect identification types comprise gel coat falling, transverse cracks, surface paint falling, appearance layering, surface damage and front edge corrosion.
6. The method for dynamic inspection analysis of a ground fan blade according to claim 5, wherein the method comprises the steps of: and each group of photos is spliced with the real lengths of the three fan blades according to at least one quarter of overlapping degree, and the photos are named and stored according to shooting positions.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311561268.8A CN117514646A (en) | 2023-11-22 | 2023-11-22 | Dynamic inspection analysis method and system for ground type fan blade |
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| CN202311561268.8A CN117514646A (en) | 2023-11-22 | 2023-11-22 | Dynamic inspection analysis method and system for ground type fan blade |
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| US20220195994A1 (en) * | 2019-04-24 | 2022-06-23 | Siemens Gamesa Renewable Energy A/S | Blade inspection device and a blade condition monitoring system |
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2023
- 2023-11-22 CN CN202311561268.8A patent/CN117514646A/en active Pending
Patent Citations (8)
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|---|---|---|---|---|
| US20140267693A1 (en) * | 2013-03-15 | 2014-09-18 | Digital Wind Systems, Inc. | System and method for ground based inspection of wind turbine blades |
| CN105804954A (en) * | 2016-05-05 | 2016-07-27 | 内蒙古工业大学 | Telemetering method and testing device of dynamic signals of rotating blades of wind driven generator |
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| US20220195994A1 (en) * | 2019-04-24 | 2022-06-23 | Siemens Gamesa Renewable Energy A/S | Blade inspection device and a blade condition monitoring system |
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