CN117324320A - Steel structure rust removal system and method based on rust analysis - Google Patents
Steel structure rust removal system and method based on rust analysis Download PDFInfo
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- JEIPFZHSYJVQDO-UHFFFAOYSA-N iron(III) oxide Inorganic materials O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 title claims abstract description 417
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 66
- 239000010959 steel Substances 0.000 title claims abstract description 66
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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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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B13/00—Accessories or details of general applicability for machines or apparatus for cleaning
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B08—CLEANING
- B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
- B08B7/00—Cleaning by methods not provided for in a single other subclass or a single group in this subclass
- B08B7/0035—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like
- B08B7/0042—Cleaning by methods not provided for in a single other subclass or a single group in this subclass by radiant energy, e.g. UV, laser, light beam or the like by laser
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- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
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- G—PHYSICS
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B15/00—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons
- G01B15/04—Measuring arrangements characterised by the use of electromagnetic waves or particle radiation, e.g. by the use of microwaves, X-rays, gamma rays or electrons for measuring contours or curvatures
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- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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Abstract
The invention discloses a rust removing system and method for a steel structure based on rust analysis, wherein the rust removing system comprises the following steps: the rust identification device is used for shooting an image of the steel structure and identifying a rust area from the image; the ultrasonic detection device is used for detecting the rust area, the rust thickness and the rust depth of rust in the rust area; the laser rust removing device is used for removing rust on the steel structure through laser; the control unit is used for determining a rust degree value according to the rust area, the rust thickness and the rust depth of rust, and controlling the laser rust removing device to select corresponding rust removing working conditions according to the rust degree value to remove the rust on the steel structure. According to the rust removing device, rust identification is carried out in a visual detection mode, the rust area is specifically detected by combining the ultrasonic detection device, the control unit selects corresponding rust removing working conditions according to specific conditions of the rust area to remove rust, and therefore the rust removing efficiency is effectively improved.
Description
Technical Field
The invention relates to the technical field of rust removal, in particular to a rust removal system and method for a steel structure based on rust analysis.
Background
Steel structures are applied to various industries and fields, but because most of the steel structures are exposed to the external environment for a long time, the surfaces of the steel structures are easily corroded by the influence of environmental factors, and once the steel structures are corroded, the steel structures not only can cause the change of the appearance and the economic loss, but also can further cause the material pollution and the reduction of the product quality, the production interruption, the leakage of devices, the explosion of equipment, the serious casualties and the environmental pollution loss; therefore, the steel structure needs to be maintained regularly, so that the normal use of the steel structure is ensured.
At present, the traditional rust removing method comprises high-pressure water jet rust removing, acid washing rust removing, ultrasonic rust removing, sand blasting rust removing and the like, and has the defects of poor applicability, unsatisfactory effect, environmental pollution and the like. The laser is used as a processing tool, and can realize the rapid cleaning of the rust layer on the metal surface, the rust layer or the substrate is rapidly increased in temperature after absorbing laser energy by adopting pulse laser with high peak power, and a series of changes such as bulking, gasification, thermal shock, thermal vibration, sonic vibration and the like are further generated, so that the rust is finally separated from the substrate, and the novel rust removing technology of the workpiece is not damaged. Unlike conventional processing methods, laser has the advantages of high brightness, high monochromaticity, etc., and can realize remote non-contact cleaning, so that laser can be used for remote rust removal, such as high-voltage charging devices, nuclear devices, etc.
However, in the existing laser rust removal technology, the problems of low accuracy and poor reliability of the identification result exist in the identification of the rust area on the steel structure, so that the boundary of the rust area cannot be accurately identified, rust cannot be well removed, in the process of removing rust through laser, the laser control method is complex in process, the accuracy of controlling laser rust removal is not high, proper rust removal working conditions cannot be selected according to the specific conditions of the rust in the rust area to remove the rust, the rust cannot be well removed, the good rust removal result is not achieved, and the metal structure damaging the steel structure is more likely to occur.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rust removing system for a steel structure based on rust analysis, which comprises:
the rust identification device is used for shooting images of the steel structure and identifying rust areas from the images;
the ultrasonic detection device is used for detecting the rust area, the rust thickness and the rust depth of the rust in the rust area;
the laser rust removing device is used for removing rust on the steel structure through laser;
the control unit is respectively and electrically connected with the rust identification device, the ultrasonic detection device and the laser rust removal device, and is used for determining a rust degree value according to the rust area, the rust thickness and the rust depth of rust, and controlling the laser rust removal device to select corresponding rust removal working conditions to remove the rust on the steel structure according to the rust degree value.
Further, the control unit includes:
the acquisition module is respectively and electrically connected with the rust identification device and the ultrasonic detection device, and is used for acquiring data of the rust identification device and the ultrasonic detection device and transmitting the data to the processing module;
the processing module is connected with the acquisition module and is used for setting a working state instruction of the laser rust removing device according to the acquired data;
the control module is connected with the processing module and is electrically connected with the laser rust removing device, and the control module is used for controlling the laser rust removing device according to the working state instruction set by the processing module.
Further, the processing module is used for obtaining a rust degree value delta G of a rust area, and the control module is used for controlling rust removal working conditions of the laser rust removal device;
the processing module is also used for setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a rust removal working condition of the laser rust removal device according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a derusting working condition of the laser derusting device;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as the derusting working condition of the laser derusting device;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as the derusting working condition of the laser derusting device;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as the derusting working condition of the laser derusting device;
when the ith preset derusting working condition matrix Ai is selected as the derusting working condition of the laser derusting device, the control module controls the laser derusting device to work at the ith preset laser power Ai, the control module also controls the laser derusting device to work at the ith preset laser wavelength bi, and the control module also controls the laser derusting device to work at the ith preset laser pulse width ci, wherein i=1, 2,3 and 4.
Further, the rust recognition device includes:
the shooting module is used for shooting images of the steel structure;
the identification module is connected with the shooting module and is used for carrying out gray processing on the shot image and determining a rust area in the gray image according to preset conditions.
The invention also provides a rust removing method of the steel structure based on rust analysis, which comprises the following steps:
acquiring an image of the steel structure, and carrying out graying treatment on the image of the steel structure to obtain a gray level image;
traversing the gray level diagram, and determining a rust area in the gray level diagram according to a preset condition;
detecting rust in the rust area, and determining a rust degree value of the rust area;
and selecting corresponding laser rust removal working conditions according to the rust degree value of the rust area.
Further, the traversing the gray scale map, determining the rusted area in the gray scale map according to a preset condition, includes:
traversing the gray level map according to a pane with a preset size;
acquiring a gray value of each pane in the gray map, and setting a preset gray threshold;
and carrying out threshold segmentation on the gray level image according to a preset gray level threshold value, and extracting a rust area from the image after threshold segmentation by an edge detection method.
Further, the detecting the rust in the rust area, determining the rust degree value of the rust area, includes:
detecting the rust area, the rust thickness and the rust depth of rust in the rust area;
respectively giving corresponding weights to the rust area, the rust thickness and the rust depth of the rust;
and comprehensively calculating according to the rust area, the rust thickness and the rust depth of the rust and the corresponding weights of the rust area, the rust thickness and the rust depth of the rust to obtain the rust degree value of the rust area.
Further, the calculation formula of the rust degree value of the rust area is as follows:
△G＝a＊X+b＊Y+c＊Z，
wherein X is the rust area, Y is the rust thickness, Z is the rust depth, a is the weight of the rust area, b is the weight of the rust thickness, and c is the weight of the rust depth.
Further, the selecting the corresponding laser rust removing working condition according to the rust degree value of the rust area specifically includes:
acquiring a rust degree value delta G of a rust area;
setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a laser rust removal working condition according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a laser derusting working condition;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as a laser derusting working condition;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as a laser derusting working condition;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as a laser derusting working condition;
when the ith preset derusting working condition matrix Ai is selected as a laser derusting working condition, the ith preset laser power Ai is used for working, the ith preset laser wavelength bi is used for working, and the ith preset laser pulse width ci is used for working, wherein i=1, 2,3 and 4.
Compared with the prior art, the rust removing system for the steel structure based on rust analysis has the beneficial effects that:
according to the rust identification device, the rust identification device is used for identifying the rust area in a visual detection mode, the rust area on the steel structure can be accurately identified, the ultrasonic detection device is combined for specifically detecting the rust area, the rust thickness and the rust depth of the rust area, the detected parameters are guaranteed to be detailed, after the detection is finished, the control unit is used for selecting corresponding laser power, laser wavelength and laser pulse width according to the specific conditions of the rust area, so that the rust is removed, the rust can be accurately removed, the rust removal efficiency is effectively improved, and the metal structure of the steel structure is not damaged.
Drawings
FIG. 1 is a schematic diagram of a rust removal system for steel structures based on rust analysis in an embodiment of the invention;
fig. 2 is a schematic diagram of the composition of a control unit of a rust removing system for a steel structure based on rust analysis in the embodiment of the present invention;
fig. 3 is a schematic flow chart of a rust removal method for a steel structure based on rust analysis in an embodiment of the invention.
Detailed Description
The detailed description of the present application is further described in detail below with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate description of the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
As shown in fig. 1, in an embodiment of the present application, there is provided a rust removing system for a steel structure based on rust analysis, comprising: the rust identification device is used for shooting images of the steel structure and identifying rust areas from the images; the ultrasonic detection device is used for detecting the rust area, the rust thickness and the rust depth of the rust in the rust area; the laser rust removing device is used for removing rust on the steel structure through laser; the control unit is respectively and electrically connected with the rust identification device, the ultrasonic detection device and the laser rust removal device, and is used for determining a rust degree value according to the rust area, the rust thickness and the rust depth of rust, and controlling the laser rust removal device to select corresponding rust removal working conditions to remove the rust on the steel structure according to the rust degree value.
Furthermore, the rust identification device is used for identifying the rust area in a visual detection mode, the rust area on the steel structure can be accurately identified, the rust area, the rust thickness and the rust depth of the rust area are specifically detected by combining the ultrasonic detection device, the detected parameters are ensured to be detailed, after the detection is finished, the control unit is used for selecting corresponding laser power, laser wavelength and laser pulse width according to the specific conditions of the rust area to remove the rust, the rust can be accurately removed, the rust removal efficiency is effectively improved, and the metal structure of the steel structure is not damaged.
As shown in fig. 2, in an embodiment of the present application, there is provided a rust removing system for a steel structure based on rust analysis, the control unit including: the acquisition module is respectively and electrically connected with the rust identification device and the ultrasonic detection device, and is used for acquiring data of the rust identification device and the ultrasonic detection device and transmitting the data to the processing module; the processing module is connected with the acquisition module and is used for setting a working state instruction of the laser rust removing device according to the acquired data; the control module is connected with the processing module and is electrically connected with the laser rust removing device, and the control module is used for controlling the laser rust removing device according to the working state instruction set by the processing module.
In the embodiment of the application, a rust removing system for a steel structure based on rust analysis is provided, the processing module is used for obtaining a rust degree value delta G of a rust area, and the control module is used for controlling rust removing working conditions of the laser rust removing device;
the processing module is also used for setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a rust removal working condition of the laser rust removal device according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a derusting working condition of the laser derusting device;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as the derusting working condition of the laser derusting device;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as the derusting working condition of the laser derusting device;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as the derusting working condition of the laser derusting device;
when the ith preset derusting working condition matrix Ai is selected as the derusting working condition of the laser derusting device, the control module controls the laser derusting device to work at the ith preset laser power Ai, the control module also controls the laser derusting device to work at the ith preset laser wavelength bi, and the control module also controls the laser derusting device to work at the ith preset laser pulse width ci, wherein i=1, 2,3 and 4.
In an embodiment of the present application, there is provided a rust removing system for a steel structure based on rust analysis, the rust recognition device including: the shooting module is used for shooting images of the steel structure; the identification module is connected with the shooting module and is used for carrying out gray processing on the shot image and determining a rust area in the gray image according to preset conditions.
As shown in fig. 3, in an embodiment of the present application, there is provided a rust removing method for a steel structure based on rust analysis, including: acquiring an image of the steel structure, and carrying out graying treatment on the image of the steel structure to obtain a gray level image; traversing the gray level diagram, and determining a rust area in the gray level diagram according to a preset condition; detecting rust in the rust area, and determining a rust degree value of the rust area; and selecting corresponding laser rust removal working conditions according to the rust degree value of the rust area.
In an embodiment of the present application, a rust removing method for a steel structure based on rust analysis is provided, the traversing the gray scale map, determining a rust area in the gray scale map according to a preset condition, includes: traversing the gray level map according to a pane with a preset size; acquiring a gray value of each pane in the gray map, and setting a preset gray threshold; and carrying out threshold segmentation on the gray level image according to a preset gray level threshold value, and extracting a rust area from the image after threshold segmentation by an edge detection method.
In the embodiment of the application, a steel structure rust removing method based on rust analysis is provided, the rust in the rust area is detected, the rust degree value of the rust area is determined, and the method comprises the following steps: detecting the rust area, the rust thickness and the rust depth of rust in the rust area; respectively giving corresponding weights to the rust area, the rust thickness and the rust depth of the rust; and comprehensively calculating according to the rust area, the rust thickness and the rust depth of the rust and the corresponding weights of the rust area, the rust thickness and the rust depth of the rust to obtain the rust degree value of the rust area.
In the embodiment of the application, a steel structure rust removing method based on rust analysis is provided, and the calculation formula of the rust degree value of the rust area is as follows:
△G＝a＊X+b＊Y+c＊Z，
wherein X is the rust area, Y is the rust thickness, Z is the rust depth, a is the weight of the rust area, b is the weight of the rust thickness, and c is the weight of the rust depth.
In the embodiment of the application, a rust removing method for a steel structure based on rust analysis is provided, and the corresponding laser rust removing working conditions are selected according to the rust degree value of the rust area, and specifically include:
acquiring a rust degree value delta G of a rust area;
setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a laser rust removal working condition according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a laser derusting working condition;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as a laser derusting working condition;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as a laser derusting working condition;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as a laser derusting working condition;
when the ith preset derusting working condition matrix Ai is selected as a laser derusting working condition, the ith preset laser power Ai is used for working, the ith preset laser wavelength bi is used for working, and the ith preset laser pulse width ci is used for working, wherein i=1, 2,3 and 4.
In summary, the embodiment of the invention provides a rust removing system and method for a steel structure based on rust analysis, comprising the following steps: the rust identification device is used for shooting an image of the steel structure and identifying a rust area from the image; the ultrasonic detection device is used for detecting the rust area, the rust thickness and the rust depth of rust in the rust area; the laser rust removing device is used for removing rust on the steel structure through laser; the control unit is used for determining a rust degree value according to the rust area, the rust thickness and the rust depth of rust, and controlling the laser rust removing device to select corresponding rust removing working conditions according to the rust degree value to remove the rust on the steel structure. According to the rust removing device, rust identification is carried out in a visual detection mode, the rust area is specifically detected by combining the ultrasonic detection device, the control unit selects corresponding rust removing working conditions according to specific conditions of the rust area to remove rust, and therefore the rust removing efficiency is effectively improved.
Finally, it should be noted that: it will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
The foregoing is merely an example of the present invention and is not intended to limit the scope of the present invention, and all changes made in the structure according to the present invention should be considered as falling within the scope of the present invention without departing from the gist of the present invention. It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the further embodiments shown in the drawings, but it is readily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.
Claims (9)
1. Steel construction rust cleaning system based on corrosion analysis, characterized in that includes:
the rust identification device is used for shooting images of the steel structure and identifying rust areas from the images;
the ultrasonic detection device is used for detecting the rust area, the rust thickness and the rust depth of the rust in the rust area;
the laser rust removing device is used for removing rust on the steel structure through laser;
the control unit is respectively and electrically connected with the rust identification device, the ultrasonic detection device and the laser rust removal device, and is used for determining a rust degree value according to the rust area, the rust thickness and the rust depth of rust, and controlling the laser rust removal device to select corresponding rust removal working conditions to remove the rust on the steel structure according to the rust degree value.
2. A rust removal system for steel structures based on rust analysis according to claim 1, wherein said control unit comprises:
the acquisition module is respectively and electrically connected with the rust identification device and the ultrasonic detection device, and is used for acquiring data of the rust identification device and the ultrasonic detection device and transmitting the data to the processing module;
the processing module is connected with the acquisition module and is used for setting a working state instruction of the laser rust removing device according to the acquired data;
the control module is connected with the processing module and is electrically connected with the laser rust removing device, and the control module is used for controlling the laser rust removing device according to the working state instruction set by the processing module.
3. A rust removing system for steel structures based on rust analysis according to claim 1, wherein,
the processing module is used for obtaining a rust degree value delta G of a rust area, and the control module is used for controlling rust removal working conditions of the laser rust removal device;
the processing module is also used for setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a rust removal working condition of the laser rust removal device according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a derusting working condition of the laser derusting device;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as the derusting working condition of the laser derusting device;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as the derusting working condition of the laser derusting device;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as the derusting working condition of the laser derusting device;
when the ith preset derusting working condition matrix Ai is selected as the derusting working condition of the laser derusting device, the control module controls the laser derusting device to work at the ith preset laser power Ai, the control module also controls the laser derusting device to work at the ith preset laser wavelength bi, and the control module also controls the laser derusting device to work at the ith preset laser pulse width ci, wherein i=1, 2,3 and 4.
4. A rust removal system for steel structures based on rust analysis as set forth in claim 1, wherein said rust identification means comprises:
the shooting module is used for shooting images of the steel structure;
the identification module is connected with the shooting module and is used for carrying out gray processing on the shot image and determining a rust area in the gray image according to preset conditions.
5. The rust removing method for the steel structure based on rust analysis is characterized by comprising the following steps of:
acquiring an image of the steel structure, and carrying out graying treatment on the image of the steel structure to obtain a gray level image;
traversing the gray level diagram, and determining a rust area in the gray level diagram according to a preset condition;
detecting rust in the rust area, and determining a rust degree value of the rust area;
and selecting corresponding laser rust removal working conditions according to the rust degree value of the rust area.
6. The rust removing method for steel structures based on rust analysis according to claim 5, wherein the traversing the gray scale map and determining the rust area in the gray scale map according to a preset condition comprises:
traversing the gray level map according to a pane with a preset size;
acquiring a gray value of each pane in the gray map, and setting a preset gray threshold;
and carrying out threshold segmentation on the gray level image according to a preset gray level threshold value, and extracting a rust area from the image after threshold segmentation by an edge detection method.
7. The rust removing method for steel structures based on rust analysis according to claim 5, wherein the detecting rust in the rust area to determine the rust degree value of the rust area comprises:
detecting the rust area, the rust thickness and the rust depth of rust in the rust area;
respectively giving corresponding weights to the rust area, the rust thickness and the rust depth of the rust;
and comprehensively calculating according to the rust area, the rust thickness and the rust depth of the rust and the corresponding weights of the rust area, the rust thickness and the rust depth of the rust to obtain the rust degree value of the rust area.
8. The rust removing method for steel structures based on rust analysis according to claim 7, wherein the rust degree value of the rust area is calculated as follows:
△G＝a＊X+b＊Y+c＊Z，
wherein X is the rust area, Y is the rust thickness, Z is the rust depth, a is the weight of the rust area, b is the weight of the rust thickness, and c is the weight of the rust depth.
9. The rust removing method for steel structures based on rust analysis according to claim 5, wherein the selecting the corresponding laser rust removing working condition according to the rust degree value of the rust area specifically comprises:
acquiring a rust degree value delta G of a rust area;
setting a first preset corrosion degree value G1, a second preset corrosion degree value G2, a third preset corrosion degree value G3 and a fourth preset corrosion degree value G4, wherein G1 is more than G2 and less than G3 and less than G4; the processing module is also used for setting a first preset derusting working condition matrix A1 (A1, b1 and c 1), a second preset derusting working condition matrix A2 (A2, b2 and c 2), a third preset derusting working condition matrix A3 (A1, b1 and c 1) and a fourth preset derusting working condition matrix A4 (A4, b4 and c 4), wherein A1-A4 is sequentially from first to fourth preset laser power, A1 is more than A2 and less than A3 and less than A4, b1-b4 sequentially from first to fourth preset laser wavelength, b1 is more than b2 and less than b3 and less than b4, c1-c4 sequentially from first to fourth preset laser pulse width, and c1 is more than c2 and less than c3 and less than c4;
selecting a preset rust removal working condition matrix A as a laser rust removal working condition according to the acquired relationship between the rust degree value delta G of the rust area and a preset rust degree value Gi;
when the delta G is less than or equal to G1, selecting the first preset derusting working condition matrix A1 as a laser derusting working condition;
when G1 < [ delta ] G is less than or equal to G2, selecting the second preset derusting working condition matrix A2 as a laser derusting working condition;
when G2 < [ delta ] G is less than or equal to G3, selecting the third preset derusting working condition matrix A3 as a laser derusting working condition;
when G3 < [ delta ] G is less than or equal to G4, selecting the fourth preset derusting working condition matrix A4 as a laser derusting working condition;
when the ith preset derusting working condition matrix Ai is selected as a laser derusting working condition, the ith preset laser power Ai is used for working, the ith preset laser wavelength bi is used for working, and the ith preset laser pulse width ci is used for working, wherein i=1, 2,3 and 4.
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| CN202311045779.4A CN117324320A (en) | 2023-08-17 | 2023-08-17 | Steel structure rust removal system and method based on rust analysis |
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| CN202311045779.4A CN117324320A (en) | 2023-08-17 | 2023-08-17 | Steel structure rust removal system and method based on rust analysis |
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