CN114136998A - Microwave nondestructive testing method, device, system, equipment and medium - Google Patents
Microwave nondestructive testing method, device, system, equipment and medium Download PDFInfo
- Publication number
- CN114136998A CN114136998A CN202111629267.3A CN202111629267A CN114136998A CN 114136998 A CN114136998 A CN 114136998A CN 202111629267 A CN202111629267 A CN 202111629267A CN 114136998 A CN114136998 A CN 114136998A
- Authority
- CN
- China
- Prior art keywords
- detection area
- area
- nondestructive
- microwave signals
- aerial vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009659 non-destructive testing Methods 0.000 title claims abstract description 99
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000001514 detection method Methods 0.000 claims abstract description 189
- 230000007547 defect Effects 0.000 claims abstract description 77
- 239000000463 material Substances 0.000 claims abstract description 76
- 238000012360 testing method Methods 0.000 claims abstract description 56
- 238000007689 inspection Methods 0.000 claims description 10
- 230000002950 deficient Effects 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 230000001066 destructive effect Effects 0.000 claims description 4
- 230000002035 prolonged effect Effects 0.000 abstract description 3
- 230000005611 electricity Effects 0.000 description 11
- 230000006870 function Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000008901 benefit Effects 0.000 description 5
- 239000000523 sample Substances 0.000 description 5
- 230000007423 decrease Effects 0.000 description 4
- 238000009434 installation Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000011179 visual inspection Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 229920000049 Carbon (fiber) Polymers 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000004917 carbon fiber Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N22/00—Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more
- G01N22/02—Investigating the presence of flaws
Landscapes
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The embodiment of the application provides a microwave nondestructive testing method, a microwave nondestructive testing device, a microwave nondestructive testing system, microwave nondestructive testing equipment and a microwave nondestructive testing medium, wherein the method comprises the following steps: controlling nondestructive testing equipment to emit microwave signals to a testing area of a material to be tested, and collecting reflected microwave signals of the testing area, wherein the testing area is an area where a specified part of the material to be tested is located; and identifying whether the detection area has defects or not through the reflected microwave signals. Some embodiments of this application can treat the nondestructive test of detecting the material through unmanned aerial vehicle, realize need not to dismantle the part that detects the material and can carry out nondestructive test to save a large amount of manpower resources, prolonged the life cycle that detects the material.
Description
Technical Field
The embodiment of the application relates to the field of nondestructive testing, in particular to a microwave nondestructive testing method, a microwave nondestructive testing device, a microwave nondestructive testing system, microwave nondestructive testing equipment and a microwave nondestructive testing medium.
Background
In the related art, for a plate or a pipeline in high altitude, a defect sample can be obtained only by a maintainer working aloft, or the plate or the pipeline in high altitude needs to be taken to the ground for detection, so that a large amount of human resources are wasted, and the maintainer is often in danger to work, so that accidents are frequent.
Therefore, how to perform safety detection on the material to be detected in the air becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the application provides a microwave nondestructive testing method, a microwave nondestructive testing device, a microwave nondestructive testing system, microwave nondestructive testing equipment and a microwave nondestructive testing medium.
In a first aspect, the present application provides a microwave nondestructive testing method, applied to an unmanned aerial vehicle, the method including: controlling nondestructive testing equipment to emit microwave signals to a testing area of a material to be tested, and collecting reflected microwave signals of the testing area, wherein the testing area is an area where a specified part of the material to be tested is located; and identifying whether the detection area has defects or not through the reflected microwave signals.
Therefore, be different from prior art, treat the in-process that detects the material and carry out nondestructive test, need to wait to detect the material and dismantle usually to place and detect on ground, lead to the detection degree of difficulty big, the cycle length, and can not be clear and definite learn before detecting and wait the damaged condition of detecting the material, if dismantle the subaerial material that waits that is intact, then wasted a large amount of manpower and materials. In addition, the overhead detection operation for the equipment is limited by weather factors and the period of a production stop maintenance window of the equipment, so that the detection cannot be performed according to a preset period. This application detects the material in the high altitude through treating to detect through using unmanned aerial vehicle, can realize need not to dismantle the part that detects the material and can carry out nondestructive test to save a large amount of manpower resources, prolonged the life who detects the material.
With reference to the first aspect, in one embodiment of the present application, before the controlling the nondestructive testing apparatus to emit the microwave signal to the testing area of the material to be tested, the method further includes: acquiring a surface image of a detection area of the material to be detected, wherein the surface image is obtained by shooting the surface of the material to be detected; determining that a target detection area needing to be scanned exists in the detection area through the surface image; the method comprises the following steps of controlling nondestructive testing equipment to emit microwave signals to a detection area of a material to be detected and collecting reflected microwave signals of the detection area, wherein the method comprises the following steps: controlling nondestructive testing equipment to transmit microwave signals to the target detection area and collecting reflected microwave signals of the target detection area; the identifying whether the detection area has defects through the reflected microwave signals includes: and identifying whether the detection area has defects or not through the reflected microwave signals of the target detection area.
With reference to the first aspect, in an embodiment of the present application, the surface image includes at least one image, and each image in the at least one image corresponds to one candidate detection region; the determining the target detection area through the surface image comprises: performing preliminary detection on each image in the at least one image to obtain a preliminary detection result; and if the preliminary detection result is confirmed to be that the preliminary defect exists, judging the corresponding candidate detection area as the target detection area.
Therefore, the embodiment of the application carries out preliminary detection on the surface image before scanning the detection area, can judge the damage condition of the material to be detected in advance, thereby obtaining an accurate defect area and improving the efficiency and accuracy of nondestructive detection.
With reference to the first aspect, in an embodiment of the present application, the nondestructive testing apparatus is detachably connected to the unmanned aerial vehicle; wherein the acquiring of the surface image of the detection area of the material to be detected comprises: under the condition that the unmanned aerial vehicle does not carry the nondestructive testing equipment, acquiring a surface image of a detection area of the material to be detected; the control nondestructive testing equipment transmits microwave signals to the detection area of the material to be detected, and comprises: and after the unmanned aerial vehicle carries the nondestructive testing equipment and determines that the unmanned aerial vehicle reaches the target detection area, controlling the nondestructive testing equipment to transmit microwave signals to the detection area of the material to be detected.
Therefore, this application embodiment obtains the surface image through not carrying nondestructive test equipment earlier, can alleviate unmanned aerial vehicle's flight burden, increases unmanned aerial vehicle single time and takes off duration, guarantees unmanned aerial vehicle safety at the flight in-process when expanding preliminary detection area image search area.
With reference to the first aspect, in an embodiment of the present application, the identifying whether the detection area has a defect by the reflected microwave signal includes: and sending the reflected microwave signal to ground identification equipment so that the ground identification equipment identifies the reflected microwave signal to obtain whether the detection area has defects.
Therefore, this application embodiment carries out defect identification through transmitting reflection microwave signal to ground discernment position, can reduce unmanned aerial vehicle's processing burden, guarantees the safety of unmanned aerial vehicle at the in-process of returning a journey.
With reference to the first aspect, in an embodiment of the present application, the identifying whether the detection area has a defect by the reflected microwave signal includes: and identifying the reflected microwave signals to obtain whether the detection area has defects.
Therefore, this application embodiment handles reflection microwave signal through unmanned aerial vehicle self, can improve detection speed to realize high-efficient microwave detection.
In a second aspect, the present application provides a microwave nondestructive testing's device, is applied to unmanned aerial vehicle, the device includes: the control module is configured to control the nondestructive testing equipment to emit microwave signals to a testing area of a material to be tested, and collect reflected microwave signals of the testing area, wherein the testing area is an area where a specified part of the material to be tested is located; and the result acquisition module is configured to identify whether the detection area has defects or not through the reflected microwave signals.
With reference to the second aspect, in one embodiment of the present application, the control module is further configured to: acquiring a surface image of a detection area of the material to be detected, wherein the surface image is obtained by shooting the surface of the material to be detected; determining that a target detection area needing to be scanned exists in the detection area through the surface image; wherein the control module is further configured to: controlling nondestructive testing equipment to transmit microwave signals to the target detection area and collecting reflected microwave signals of the target detection area; the result acquisition module is further configured to: and identifying whether the detection area has defects or not through the reflected microwave signals of the target detection area.
With reference to the second aspect, in one embodiment of the present application, the surface image includes at least one image, and each image of the at least one image corresponds to one candidate detection region; the control module is further configured to: performing preliminary detection on each image in the at least one image to obtain a preliminary detection result; and if the preliminary detection result is confirmed to be that the preliminary defect exists, judging the corresponding candidate detection area as the target detection area.
With reference to the second aspect, in one embodiment of the present application, the nondestructive testing device is detachably connected to the unmanned aerial vehicle; wherein the control module is further configured to: under the condition that the unmanned aerial vehicle does not carry the nondestructive testing equipment, acquiring a surface image of a detection area of the material to be detected; the control module is further configured to: and after the unmanned aerial vehicle carries the nondestructive testing equipment and determines that the unmanned aerial vehicle reaches the target detection area, controlling the nondestructive testing equipment to transmit microwave signals to the detection area of the material to be detected.
With reference to the second aspect, in an embodiment of the present application, the result obtaining module is further configured to: and sending the reflected microwave signal to ground identification equipment so that the ground identification equipment identifies the reflected microwave signal to obtain whether the detection area has defects.
With reference to the second aspect, in an embodiment of the present application, the result obtaining module is further configured to: and identifying the reflected microwave signals to obtain whether the detection area has defects.
In a third aspect, the present application provides a microwave nondestructive testing system, comprising: the nondestructive testing equipment is detachably arranged below the unmanned aerial vehicle and is used for transmitting microwave signals to a testing area of the material to be tested and collecting reflected microwave signals of the testing area; the drone is configured to perform the method as described in the first aspect and any implementation manner of the first aspect.
With reference to the third aspect, in one embodiment of the present application, the nondestructive testing apparatus includes: a nondestructive gantry; and the vacuum chuck is arranged on the fulcrum of the nondestructive scanning frame and is used for adsorbing the nondestructive scanning frame on the surface of the material to be detected.
With reference to the third aspect, in an embodiment of the present application, the unmanned aerial vehicle further includes: and the holder interface is used for connecting the body with the nondestructive testing equipment.
Therefore, this application embodiment can use unmanned aerial vehicle's flight function through the unmanned aerial vehicle who installs nondestructive test equipment, combines nondestructive test equipment's detection function, detects the material that detects that is in the height in the sky, has reduced the wasting of resources owing to disassemble and wait to detect the material and bring.
In a third aspect, the present application provides an electronic device, comprising: a processor, a memory, and a bus; the processor is connected to the memory via the bus, and the memory stores computer readable instructions for implementing the method according to the first aspect and any embodiment of the first aspect when the computer readable instructions are executed by the processor.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program for implementing the method as described in the first aspect and any implementation manner of the first aspect when executed.
Drawings
Fig. 1 is a schematic view of an unmanned aerial vehicle according to an embodiment of the present application;
FIG. 2 is a schematic view of a nondestructive testing apparatus according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a microwave nondestructive testing method according to an embodiment of the present disclosure;
FIG. 4 is a flowchart illustrating a microwave nondestructive testing method according to an embodiment of the present disclosure;
FIG. 5 is a block diagram of an apparatus for microwave nondestructive testing according to an embodiment of the present disclosure;
fig. 6 is an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application can be applied to nondestructive testing of materials to be detected in high altitude, and in order to solve the problem in the background art, in some embodiments of the application, an unmanned aerial vehicle moves to the surface of the materials to be detected in high altitude, and controls nondestructive testing equipment to collect reflected microwave signals of the materials to be detected, and then identifies whether the detection area has defects or not by reflecting the microwave signals.
For example, in some embodiments of the present application, the unmanned aerial vehicle first visually inspects the material to be detected in the air without carrying the nondestructive testing device, and if the result of the visual inspection indicates that there is a defect, the unmanned aerial vehicle flies back to the ground to install the nondestructive testing device, and then continues to fly back to the material to be detected in the air to perform nondestructive testing, so as to determine whether there is a defect in the testing area. The above-mentioned embodiment of this application can need not to dismantle the part that detects the material and can carry out nondestructive test to save a large amount of manpower resources, prolonged the life who detects the material.
It should be noted that the material to be detected is a part of equipment working in high altitude, and may be any plate or pipe. As a specific embodiment of the present application, the material to be detected may be a wind blade on a wind power generation device, or may be a component on an overhead power transmission device. The embodiments of the present application are not limited thereto.
It will be appreciated that the presence or absence of a defect in the inspection area is determined by the reflected microwave signal and is information relating to what defects are present in the inspection area of the material being inspected. And under the condition that the detection area has defects, simultaneously obtaining the defect types and the defect positions of the materials to be detected. The detecting whether the area has the defect includes detecting that the area has the defect and detecting that the area has no defect.
The nondestructive testing system in the embodiment of the present application is described in detail below with reference to the accompanying drawings by taking the material to be tested as a wind turbine blade as an example.
Different from the embodiment of the application, in the related art, for a plate or a pipeline in high altitude, a defect sample can be obtained only by high-altitude operation of a maintainer, or the high-altitude plate or the pipeline needs to be taken to the ground for detection, so that a large amount of manpower resources are wasted, and the maintainer is often in danger to operate, so that accidents are frequent.
At least in order to solve the above problem, the present application provides a microwave nondestructive testing system, which includes the drone 120 shown in fig. 1 and the nondestructive testing device 210 shown in fig. 2. Specifically, as shown in fig. 1, the drone 120 includes a camera 121 and a pan-tilt interface 122. As shown in fig. 2, the nondestructive testing apparatus 210 includes a nondestructive gantry 211, a vacuum chuck 212, a test probe 213, and an interface 214.
That is, the unmanned aerial vehicle 120 first performs a visual inspection of the detection area of the wind turbine blade by the camera 121 after reaching the detection area without installing the nondestructive testing device 210. And under the condition that the unmanned aerial vehicle determines that the detection area has defects, returning to the ground to install the nondestructive testing device 210, wherein the holder interface 122 of the unmanned aerial vehicle 120 is connected with the interface 214 of the nondestructive testing device 210, so that the installation of the nondestructive testing device 210 is realized. Afterwards, unmanned aerial vehicle reachs wind-powered electricity generation blade's detection area again after, nondestructive test equipment 210 adsorbs on wind-powered electricity generation blade through vacuum chuck 212, and two test probe 213 are through reciprocating motion on nondestructive scanning frame 211, gather reflection microwave signal, realize nondestructive test.
It should be noted that the pan/tilt head interface 122 may be a carbon fiber connecting rod. When nondestructive test equipment 210 is connected with unmanned aerial vehicle 120, can also link the three cloud platform interface of installation on unmanned aerial vehicle, correspond two fulcrums at nondestructive scan frame 211 horizontal pole both ends and a fulcrum of montant one end respectively. The nondestructive scanning frame 211 further comprises two motors for driving the two detection probes 213 to scan respectively. The vacuum chuck 212 is tightened on the surface of the wind blade by electric vacuum.
Therefore, this application embodiment can use unmanned aerial vehicle's flight function through the unmanned aerial vehicle who installs nondestructive scanning, combines nondestructive test equipment's scanning function, detects the material that detects that is in the high sky, has reduced the wasting of resources owing to disassemble and wait to detect the material and bring.
The following describes in detail the steps of the microwave nondestructive testing method performed by the unmanned aerial vehicle in the embodiment of the present application, with reference to the attached drawings, taking the material to be tested as a wind turbine blade as an example.
As shown in fig. 3, some embodiments of the present application provide a method of microwave non-destructive testing, comprising:
s310, controlling the nondestructive testing equipment to transmit microwave signals to a testing area of the material to be tested, and collecting reflected microwave signals of the testing area; and S320, identifying whether the detection area has defects or not by reflecting the microwave signals.
It should be noted that the detection area is an area where the designated position of the wind turbine blade is located. The designated position can be a high-risk fault position of the wind power blade, and can also be any position designated by operation and maintenance personnel according to actual conditions.
The method has the advantages that the defects caused by material fatigue and natural aging easily occur in the operation process of the blade part in the wind generating set, so that the microwave nondestructive testing method is used for identifying the defects of the wind power blade under the condition that the wind power blade is not disassembled.
In an embodiment of the application, before the unmanned aerial vehicle executes S310, the detection area of the wind turbine blade needs to be preliminarily detected, and then S310 and S320 are executed, wherein the specific implementation process is as follows:
the method comprises the following steps: before S310, a surface image of the detection area of the material to be detected is acquired, and it is determined from the surface image that a target detection area to be scanned exists in the detection area.
That is to say, unmanned aerial vehicle shoots the surface image on wind-powered electricity generation blade surface on wind-powered electricity generation blade's detection area before control nondestructive test equipment gathers reflection microwave signal to whether there is the defect in analysis wind-powered electricity generation blade surface. And if the surface image has defects, judging that a target detection area needing to be scanned exists in the detection area.
It should be noted that, whether the surface of the wind power blade has defects or not is analyzed through the surface image, and the defects can be identified by a processor of the unmanned aerial vehicle; or the ground equipment can monitor the surface image shot by the unmanned aerial vehicle in real time for identification; the unmanned aerial vehicle can also be shot and then stored, and then fly back to the ground and be identified by ground equipment.
It is understood that the surface image may be a plurality of pictures or a video monitored in real time.
In addition, if the situation that the wind power blade has no defects is judged through the surface image, the unmanned aerial vehicle directly returns to the ground.
It is understood that the surface image may have defects such as cracks, weld unevenness, or peeling. The embodiments of the present application are not limited thereto.
In one embodiment of the present application, the surface image includes at least one image, and each image of the at least one image corresponds to one candidate detection region. The process of obtaining the target detection area through the surface image comprises the following steps:
firstly, each image in at least one image is preliminarily detected to obtain a preliminary detection result.
That is, the camera on the drone collects at least one image at different positions on the surface of the detection area, each image in the at least one image corresponding to a block of area (i.e., a candidate detection area). And performing preliminary detection on each image, namely performing preliminary detection on each candidate detection area to obtain a preliminary detection result of each candidate detection area.
For example, a camera on the unmanned aerial vehicle captures 3 surface images at different positions on the surface of the detection area, where each surface image corresponds to one candidate detection area (i.e., a first surface image corresponds to a first candidate detection area, a second surface image corresponds to a second candidate detection area, and a third surface image corresponds to a third candidate detection area). And then carrying out primary detection on the 3 surface images to obtain detection results, namely a first primary detection result corresponding to the first surface image, a second primary detection result corresponding to the second surface image and a third primary detection result corresponding to the third surface image.
And then, if the preliminary detection result is determined to be that the preliminary defect exists, judging the corresponding candidate detection area as the target detection area.
That is to say, when the preliminary detection result has a defect, it indicates that the wind turbine blade corresponding to the candidate detection area has a defect, and further nondestructive detection is required to be performed to obtain an accurate defect type and a defect position. Then, the candidate detection area that needs to be further detected is the target detection area.
For example: in the above step, if the first preliminary detection result and the second preliminary detection result are non-defective and the third preliminary detection result is defective, then the third candidate detection area corresponding to the third preliminary detection result is determined as the target detection area.
It should be noted that the preliminary defect is a preliminary result judged by the surface image, which indicates that further nondestructive testing is required. After the inspection area is judged to be a preliminary defect, it may be judged as being either free of a defect or defective during further non-destructive inspection.
Therefore, the embodiment of the application carries out preliminary detection on the surface image before scanning the detection area, can judge the damage condition of the material to be detected in advance, thereby obtaining an accurate defect area and improving the efficiency and accuracy of nondestructive detection.
In another embodiment of the application, after a certain number of wind power blade surface images are accumulated, the wind power blade surface images are automatically and quickly selected through an artificial intelligence identification method, so that the detection efficiency is further improved.
Step two: and controlling the nondestructive testing equipment to transmit microwave signals to the target testing area, and collecting reflected microwave signals of the target testing area.
That is to say, after the target detection area is determined in the step one, the unmanned aerial vehicle controls the nondestructive testing device to transmit microwave signals on the wind power blade corresponding to the target detection area, the wind power blade transmits reflected microwave signals to the nondestructive testing device after receiving the microwave signals, and the nondestructive testing device collects the reflected microwave signals.
Step three: and determining whether the detection area has defects or not through the reflected microwave signals of the target detection area.
In an embodiment of the application, the unmanned aerial vehicle sends the reflected microwave signal to the ground identification device, so that the ground identification device identifies the reflected microwave signal to obtain whether the detection area has defects.
That is to say, because unmanned aerial vehicle's computing power is limited, can not bear the great computational complexity in the nondestructive test process, so unmanned aerial vehicle is after obtaining the reflection microwave signal, sends the reflection microwave signal to ground identification equipment in, ground identification equipment is after receiving the reflection microwave signal, confirms wind-powered electricity generation blade's defect type and defect position through the reflection microwave signal. And moreover, a loss compensation scheme is obtained according to the defect type, and the wind power blade is compensated in time.
In another specific embodiment of this application, unmanned aerial vehicle directly returns ground after gathering and obtaining the reflection microwave signal, returns ground again after, ground identification equipment passes through the last memory of unmanned aerial vehicle and acquires reflection microwave signal to acquire defect type and defect position through reflection microwave signal.
Therefore, this application embodiment carries out defect identification through transmitting reflection microwave signal to ground discernment position, can reduce unmanned aerial vehicle's processing burden, guarantees the safety of unmanned aerial vehicle at the in-process of returning a journey.
In another embodiment of the present application, the processor of the drone identifies the reflected microwave signal to obtain whether the detection area has a defect.
That is to say, in the less reflection microwave signal information of acquireing, do not need under the circumstances that great calculation power supported, unmanned aerial vehicle's treater can directly discern and analysis the reflection microwave signal, obtains defect type and defect position. And, after obtaining defect type and defect position, can also send the instruction for other benefit decreases unmanned aerial vehicle, benefit decreases unmanned aerial vehicle and after obtaining the instruction, carries benefit and decreases equipment and arrives defect position and mend and decrease.
Therefore, this application embodiment handles reflection microwave signal through unmanned aerial vehicle self, can improve detection speed to realize high-efficient microwave detection.
The unmanned aerial vehicle can carry out nondestructive testing on the wind power blade in two modes, namely, after a surface image is acquired without carrying nondestructive testing equipment, the unmanned aerial vehicle flies back to the ground and is provided with the nondestructive testing equipment, and then flies back to the wind power blade for nondestructive testing; the other is to carry the nondestructive testing equipment directly for nondestructive testing.
Specifically, in an embodiment of this application, nondestructive test equipment detachable connects on unmanned aerial vehicle. And under the condition that the unmanned aerial vehicle does not carry nondestructive testing equipment, acquiring a surface image of a detection area of the material to be detected. After the unmanned aerial vehicle carries the nondestructive testing equipment and determines that the unmanned aerial vehicle reaches a target detection area, the nondestructive testing equipment is controlled to transmit microwave signals to the detection area of the material to be detected.
That is, the non-destructive testing process as shown in fig. 4 includes:
s410 ground debugging of various flight functions of the unmanned aerial vehicle.
That is, images are transmitted in real time by installing a high-definition camera (i.e., a camera) on the drone.
And S420, the unmanned aerial vehicle takes off after being provided with the high-definition camera equipment.
S430 performs a preliminary detection on the detection region by the real-time image.
That is, after taking off, the high-risk fault part of the wind power blade is subjected to primary surface condition visual inspection, and a target detection area is selected according to an inspection result.
S440, the unmanned plane returns to the ground and lands.
S450, installing nondestructive testing equipment on the unmanned aerial vehicle through the holder interface.
That is to say, get back to ground at unmanned aerial vehicle after, the nondestructive test equipment of reloading, be about to nondestructive test equipment's interface and the cloud platform interface on the unmanned aerial vehicle be connected and realize the installation.
And S460, taking off the unmanned aerial vehicle and going to a target detection area.
S470, the unmanned aerial vehicle descends on the blade and is adsorbed on the surface of the target detection area through the vacuum chuck.
That is to say, the unmanned aerial vehicle returns to the target detection area position after taking off again to land on the target detection area surface of wind-powered electricity generation blade. Through the equipped vacuum chuck, the nondestructive test equipment is fixed on the surface of the wind power blade.
And S480, collecting the reflected microwave signals, and flying back to the ground after the collection is finished.
That is to say, after fixing nondestructive test equipment, unmanned aerial vehicle need not fly, after gathering the completion, carries the reflection microwave signal and returns to the journey, and ground personnel are connected reflection microwave signal storage equipment and computer and are carried out analysis and judgement of testing result again. And finally determining the defect type of the target detection area, judging whether a large potential safety hazard exists according to the defect type, and ensuring the safe operation of the wind power equipment.
Therefore, this application embodiment acquires the surface image through not carrying nondestructive test equipment earlier, can alleviate unmanned aerial vehicle's flight burden, guarantees unmanned aerial vehicle safety at the flight in-process.
Specifically, in another embodiment of this application, under the condition that unmanned aerial vehicle carried nondestructive test equipment, obtain the surface image of the detection area of wind-powered electricity generation blade, confirm through the surface image that wind-powered electricity generation blade has the condition of defect under, obtain the target detection area, later direct control nondestructive test equipment launches the microwave signal to the target detection frequency of wind-powered electricity generation blade to gather reflection microwave signal.
That is to say, the clear camera of superelevation can direct mount in unmanned aerial vehicle body top or the place ahead, and unmanned aerial vehicle flies to the detection area of wind-powered electricity generation blade after the nondestructive test equipment is accomplished in the installation, acquires real-time surface image through the camera, and then ground carries out real-time monitoring to real-time surface image, obtains the target detection area that needs further nondestructive test. And then, directly collecting the reflected microwave signals emitted by the wind power blades in the target detection area.
Therefore, the nondestructive testing device is directly carried to perform nondestructive testing, the ground replacement testing device does not need to be returned, and subsequent microwave nondestructive testing can be directly performed in a target testing area.
The foregoing describes a microwave nondestructive testing method and system in an embodiment of the present application, and the following describes an apparatus in an embodiment of the present application.
As shown in fig. 5, an apparatus 500 for microwave nondestructive testing includes: a control module 510 and a result acquisition module 520.
In an embodiment of this application, this application provides a microwave nondestructive test's device, is applied to unmanned aerial vehicle, the device includes: a control module 510 configured to control a nondestructive testing apparatus to emit a microwave signal to a detection area of a material to be tested, and collect a reflected microwave signal of the detection area, wherein the detection area is an area where a designated portion of the material to be tested is located; and a result obtaining module 520 configured to identify whether the detection area has a defect through the reflected microwave signal.
In one embodiment of the present application, the control module 510 is further configured to: acquiring a surface image of a detection area of the material to be detected, wherein the surface image is obtained by shooting the surface of the material to be detected; determining that a target detection area needing to be scanned exists in the detection area through the surface image; wherein the control module 510 is further configured to: controlling nondestructive testing equipment to transmit microwave signals to the target detection area and collecting reflected microwave signals of the target detection area; the result acquisition module 520 is further configured to: and identifying whether the detection area has defects or not through the reflected microwave signals of the target detection area.
In one embodiment of the present application, the surface image includes at least one image, and each image of the at least one image corresponds to one candidate detection region; the control module 510 is further configured to: performing preliminary detection on each image in the at least one image to obtain a preliminary detection result; and if the preliminary detection result is confirmed to be that the preliminary defect exists, judging the corresponding candidate detection area as the target detection area.
In one embodiment of the application, the nondestructive testing device is detachably connected to the unmanned aerial vehicle; wherein the control module 510 is further configured to: under the condition that the unmanned aerial vehicle does not carry the nondestructive testing equipment, acquiring a surface image of a detection area of the material to be detected; the control module 510 is further configured to: and after the unmanned aerial vehicle carries the nondestructive testing equipment and determines that the unmanned aerial vehicle reaches the target detection area, controlling the nondestructive testing equipment to transmit microwave signals to the detection area of the material to be detected.
In an embodiment of the present application, the result obtaining module 520 is further configured to: and sending the reflected microwave signal to ground identification equipment so that the ground identification equipment identifies the reflected microwave signal to obtain whether the detection area has defects.
In an embodiment of the present application, the result obtaining module 520 is further configured to: and identifying the reflected microwave signals to obtain whether the detection area has defects.
In the embodiment of the present application, the module shown in fig. 5 can implement each process in the method embodiments of fig. 1 to 4. The operations and/or functions of the respective modules in fig. 5 are respectively for implementing the corresponding flows in the method embodiments in fig. 1 to 4. Reference may be made specifically to the description of the above method embodiments, and a detailed description is appropriately omitted herein to avoid redundancy.
As shown in fig. 6, an embodiment of the present application provides an electronic device 600, including: a processor 610, a memory 620 and a bus 630, wherein the processor is connected to the memory through the bus, the memory stores computer readable instructions, when the computer readable instructions are executed by the processor, for implementing the method according to any one of the above embodiments, specifically, the description of the above embodiments of the method can be referred to, and the detailed description is omitted here to avoid repetition.
Wherein the bus is used for realizing direct connection communication of the components. The processor in the embodiment of the present application may be an integrated circuit chip having signal processing capability. The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory stores computer readable instructions that, when executed by the processor, perform the methods described in the embodiments above.
It will be appreciated that the configuration shown in fig. 6 is merely illustrative and may include more or fewer components than shown in fig. 6 or have a different configuration than shown in fig. 6. The components shown in fig. 6 may be implemented in hardware, software, or a combination thereof.
Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed, the method in any of the above-mentioned all embodiments is implemented, in particular, refer to the description in the above-mentioned method embodiments, and in order to avoid repetition, detailed description is appropriately omitted here.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. A microwave nondestructive testing method is applied to an unmanned aerial vehicle, and comprises the following steps:
controlling nondestructive testing equipment to emit microwave signals to a testing area of a material to be tested, and collecting reflected microwave signals of the testing area, wherein the testing area is an area where a specified part of the material to be tested is located;
and identifying whether the detection area has defects or not through the reflected microwave signals.
2. The method of claim 1, wherein prior to the controlling the non-destructive inspection apparatus to emit the microwave signal to the inspection region of the material to be inspected, the method further comprises:
acquiring a surface image of a detection area of the material to be detected, wherein the surface image is obtained by shooting the surface of the material to be detected;
determining that a target detection area needing to be scanned exists in the detection area through the surface image;
the method comprises the following steps of controlling nondestructive testing equipment to emit microwave signals to a detection area of a material to be detected and collecting reflected microwave signals of the detection area, wherein the method comprises the following steps:
controlling nondestructive testing equipment to transmit microwave signals to the target detection area and collecting reflected microwave signals of the target detection area;
the identifying whether the detection area has defects through the reflected microwave signals includes:
and identifying whether the detection area has defects or not through the reflected microwave signals of the target detection area.
3. The method of claim 2, wherein the surface image comprises at least one image, each of the at least one image corresponding to a candidate detection region;
the determining the target detection area through the surface image comprises:
performing preliminary detection on each image in the at least one image to obtain a preliminary detection result;
and if the preliminary detection result is confirmed to be that the preliminary defect exists, judging the corresponding candidate detection area as the target detection area.
4. The method of claim 2 or 3, wherein the non-destructive inspection device is removably connected to the drone;
wherein the acquiring of the surface image of the detection area of the material to be detected comprises:
under the condition that the unmanned aerial vehicle does not carry the nondestructive testing equipment, acquiring a surface image of a detection area of the material to be detected;
the control nondestructive testing equipment transmits microwave signals to the detection area of the material to be detected, and comprises:
and after the unmanned aerial vehicle carries the nondestructive testing equipment and determines that the unmanned aerial vehicle reaches the target detection area, controlling the nondestructive testing equipment to transmit microwave signals to the detection area of the material to be detected.
5. The method of claim 2 or 3, wherein said identifying whether the detection area is defective by said reflected microwave signal comprises:
and sending the reflected microwave signal to ground identification equipment so that the ground identification equipment identifies the reflected microwave signal to determine whether the detection area has defects.
6. The method of claim 2 or 3, wherein said identifying whether the detection area is defective by said reflected microwave signal comprises:
and identifying the reflected microwave signals to determine whether the detection area has defects.
7. The utility model provides a microwave nondestructive test's device which characterized in that is applied to unmanned aerial vehicle, the device includes:
the control module is configured to control the nondestructive testing equipment to emit microwave signals to a testing area of a material to be tested, and collect reflected microwave signals of the testing area, wherein the testing area is an area where a specified part of the material to be tested is located;
and the result acquisition module is configured to identify whether the detection area has defects or not through the reflected microwave signals.
8. A microwave nondestructive inspection system, comprising:
the nondestructive testing equipment is detachably arranged below the unmanned aerial vehicle and is used for transmitting microwave signals to a testing area of the material to be tested and collecting reflected microwave signals of the testing area;
the drone for performing the method of any one of claims 1-6.
9. The method of claim 8, wherein the non-destructive inspection apparatus comprises:
a nondestructive gantry;
and the vacuum chuck is arranged on the fulcrum of the nondestructive scanning frame and is used for adsorbing the nondestructive scanning frame on the surface of the material to be detected.
10. The method of claim 9, wherein the drone further comprises:
and the holder interface is used for connecting the unmanned aerial vehicle with the nondestructive testing equipment.
11. An electronic device, comprising: a processor, a memory, and a bus;
the processor is connected to the memory via the bus, the memory storing computer readable instructions for implementing the method of any one of claims 1-6 when the computer readable instructions are executed by the processor.
12. A computer-readable storage medium, having stored thereon a computer program which, when executed, implements the method of any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111629267.3A CN114136998A (en) | 2021-12-28 | 2021-12-28 | Microwave nondestructive testing method, device, system, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111629267.3A CN114136998A (en) | 2021-12-28 | 2021-12-28 | Microwave nondestructive testing method, device, system, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114136998A true CN114136998A (en) | 2022-03-04 |
Family
ID=80383771
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111629267.3A Pending CN114136998A (en) | 2021-12-28 | 2021-12-28 | Microwave nondestructive testing method, device, system, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114136998A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07333320A (en) * | 1994-06-08 | 1995-12-22 | Yupiteru Ind Co Ltd | Microwave detector |
| CN102565792A (en) * | 2010-11-30 | 2012-07-11 | 通用电气公司 | System and method for inspecting a wind turbine blade |
| CN110146521A (en) * | 2019-06-17 | 2019-08-20 | 电子科技大学 | Pipe surface corrosion default detection method and device based on microwave ultraviolet lamp |
| US20190258883A1 (en) * | 2018-02-20 | 2019-08-22 | International Business Machines Corporation | Precision aware drone-based object mapping based on spatial pattern recognition |
| WO2021241535A1 (en) * | 2020-05-29 | 2021-12-02 | 富士フイルム株式会社 | Structure inspection method and inspection system |
| WO2021241536A1 (en) * | 2020-05-29 | 2021-12-02 | 富士フイルム株式会社 | Inspection method and inspection system for structure |
-
2021
- 2021-12-28 CN CN202111629267.3A patent/CN114136998A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07333320A (en) * | 1994-06-08 | 1995-12-22 | Yupiteru Ind Co Ltd | Microwave detector |
| CN102565792A (en) * | 2010-11-30 | 2012-07-11 | 通用电气公司 | System and method for inspecting a wind turbine blade |
| US20190258883A1 (en) * | 2018-02-20 | 2019-08-22 | International Business Machines Corporation | Precision aware drone-based object mapping based on spatial pattern recognition |
| CN110146521A (en) * | 2019-06-17 | 2019-08-20 | 电子科技大学 | Pipe surface corrosion default detection method and device based on microwave ultraviolet lamp |
| WO2021241535A1 (en) * | 2020-05-29 | 2021-12-02 | 富士フイルム株式会社 | Structure inspection method and inspection system |
| WO2021241536A1 (en) * | 2020-05-29 | 2021-12-02 | 富士フイルム株式会社 | Inspection method and inspection system for structure |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110181519B (en) | Subway station door fault detection method and system based on digital twin robot | |
| CN112360699A (en) | Intelligent inspection and diagnosis analysis method for blades of full-automatic wind generating set | |
| CN108593656B (en) | Structure detection method and device and unmanned aerial vehicle system for structure detection | |
| CN104538899A (en) | Wireless-transmission-based unmanned aerial vehicle platform for power line inspection | |
| CN111161445A (en) | Electric power inspection system | |
| CN105241957B (en) | A kind of structure residual life automation fast evaluation method and system | |
| CN107481223B (en) | Method and device for automatically identifying wiring state image | |
| CN111952883B (en) | Power transmission line fault recognition system and method based on three-dimensional laser radar | |
| CN112506214B (en) | Operation flow of unmanned aerial vehicle autonomous fan inspection system | |
| WO2020232608A1 (en) | Transmission and distribution device diagnosis method, apparatus, and system, computing device, medium, and product | |
| EP3312095A1 (en) | Lightning strike inconsistency aircraft dispatch mobile disposition tool | |
| CN111122705A (en) | Ultrasonic nondestructive testing method for wind turbine blade | |
| CN112455676A (en) | Intelligent monitoring and analyzing system and method for health state of photovoltaic panel | |
| CN111899211A (en) | Transformer oil leakage fault detection system and method based on images and smell | |
| CN116866512A (en) | Photovoltaic power station inspection system and operation method thereof | |
| CN112014774A (en) | Transformer fault inspection system and method based on sound processing | |
| CN115169602A (en) | Maintenance method and device for power equipment, storage medium and computer equipment | |
| CN116824731A (en) | Intelligent inspection method and equipment for thermal power plant | |
| CN205811958U (en) | The detection device of temperature anomaly point in photovoltaic plant | |
| CN114136998A (en) | Microwave nondestructive testing method, device, system, equipment and medium | |
| Mitra et al. | A UAV Payload for Real-time Inspection of Highway Ancillary Structures | |
| CN105203315A (en) | Air blower blade monitoring device arranged on inspection vehicle | |
| CN114648510A (en) | State detection method and device of photovoltaic module, storage medium and electronic equipment | |
| CN212622315U (en) | Online non-contact detection device for fan blade defects | |
| CN114442658A (en) | Automatic inspection system for unmanned aerial vehicle of power transmission and distribution line and operation method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |