CN118032810A - Geometric feature identification method for detecting diseases in pipeline optics with measurement scales - Google Patents
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Abstract
The invention provides a geometric feature recognition method for detecting diseases in pipeline optics with measurement scales, which belongs to the technical field of water supply pipeline detection, and comprises the following steps of: adjusting the focal length and starting to record the internal defect state of the lens; the method comprises the steps of firstly capturing defects, recording horizontal or vertical readings of the defects, and detecting the position and pitch angle of the camera equipment; after the equipment runs for a certain distance, the focal length is adjusted, the data are recorded again, and according to the data obtained by the two detection processes, the analysis processing is carried out, so that the identification of the geometric characteristics of the diseases is completed.
Description
Technical Field
The invention belongs to the technical field of water supply pipeline detection, and relates to a geometric characteristic identification method for detecting diseases in pipeline optics with measurement scales.
Background
In the existing internal detection technology of water supply pipelines, optical systems including Closed Circuit Television (CCTV) camera systems, photographing systems and the like are gradually applied to monitoring the internal conditions of the pipelines, but the prior art cannot effectively measure the geometric dimensions of internal diseases in the process of carrying out image acquisition, and has limitations in the aspect of identifying the characteristics of the diseases in the pipelines. Currently, the prior art can only utilize these images to rely on operators to perform visual estimation and interpretation by capturing visual images of the condition of the pipeline, and lacks necessary quantitative coordinate data and reference systems, so that specific geometric features and severity of diseases cannot be accurately estimated. The existing pipeline optical internal detection technology depends on a subjective visual judgment method of personnel, so that on one hand, the subjectivity of a detection result is increased, on the other hand, the accuracy and reliability of judgment are reduced, and meanwhile, the data processing workload is large, the process is complex and the accuracy is poor.
Furthermore, some of the prior art techniques identify in a two-time redrawn coordinate system approach, but because it is difficult to provide accurate measurement locations and geometries with in-pipe detection techniques, this severely limits accurate assessment of the extent of defects in the pipe. Meanwhile, CCTV systems in-pipeline monitoring have limited flexibility in allowing adjustment of focal length and viewing angle in adapting to different detection requirements, and especially when facing in-pipeline or pipe wall diseases with changeable forms or complicated positions, the above limitations further highlight the problems and limitations of the prior art.
Therefore, the prior art has obvious defects in the aspects of accuracy, subjectivity and adaptability of the detection of the diseases in the water supply pipeline in the optical internal detection technology of the water supply pipeline, which promotes the requirements of more efficient, objective and accurate detection technology so as to improve the identification precision of the characteristics of the diseases of the water supply pipeline and be used for guiding the implementation of scientific maintenance and efficient management of the buried pipeline network.
Disclosure of Invention
The invention aims to provide a geometric characteristic identification method for detecting diseases in pipeline optics with measurement scales, which is characterized by comprising the steps of designing a reticle with measurement scales for geometric characteristic identification of detecting diseases in pipeline optics;
the reticle comprises a circumferential scale, a transverse scale, a longitudinal scale and an annular standard size frame, wherein the circumferential scale, the transverse scale and the longitudinal scale are all arranged in the annular standard size frame, the circumferential scale and the annular standard size frame are concentrically arranged, the transverse scale and the longitudinal scale are mutually perpendicular, and the intersection point is coincident with the circle center of the circumferential scale;
the geometric feature recognition method for detecting the diseases in the pipeline optics comprises the following steps:
S1: installing a reticle with measurement scales at a lens of the pipeline optical internal detection camera device;
s2: adjusting the focal length of the pipeline optical internal detection camera equipment to enable the section size of the pipeline to coincide with the annular standard size frame, and starting to record the internal defect state of the lens of the camera equipment;
S3: when the field of view of the image pickup device captures the defect for the first time, recording the horizontal or vertical reading of the defect in the mirror surface at the moment and recording as h 1, and recording the position of the detection image pickup device in the pipeline optics at the moment and the pitch angle alpha 1 at the moment;
s4: the forward running distance L 1 of the pipeline optical internal detection camera equipment is ensured to be overlapped with the annular standard size frame, the same disease defect marked at the same position is captured again, the horizontal or vertical reading of the disease defect in the mirror surface at the moment is recorded and is recorded as h 2, and the position of the pipeline optical internal detection camera equipment at the moment and the pitch angle alpha 2 at the moment are recorded;
s5: for the annular disease defects developed along the pipe wall, adopting the method in S4, and recording annular scale readings corresponding to the annular disease defects for a plurality of times;
s6: for the disease defects, analyzing and processing according to the data measured twice in S4 and S5; and for the annular defect, taking the average value of the circumferential graduations measured for a plurality of times to extract geometric features, and completing the identification of geometric features of the detected defect in the pipeline optics.
Further, the circumferential scale comprises three hundred sixty-one scales, each scale represents one degree and corresponds to an integer between zero and three hundred sixty in sequence, wherein the zero scale and the third hundred sixty scale are located at the uppermost part, and one to three hundred fifty-nine scales are arranged clockwise by taking the zero scale as an initial part.
Further, the three hundred sixty-one scales are divided into a main scale and a secondary scale, the main scale is an integer multiple of 5, and the other scales are secondary scales.
Further, the transverse graduation and the longitudinal graduation comprise a plurality of main graduations which are arranged at equal intervals, and one of the main graduations is positioned at the circle center; a plurality of secondary scales are arranged between each two primary scales at equal intervals.
Further, the number of the main scales is twenty, and the number of the secondary scales between every two adjacent main scales is ten.
Further, in S1, the in-pipe optical detection imaging device lens is specifically a fixed focus lens.
Further, in the step S6, the analysis processing specifically includes: based on the two recorded sizes acquired by the cameras corresponding to the defect defects, the movement distance of the inner detection device and the standard focal length corresponding to the pipe diameter, the geometric size of the target defect defects and the distance between the inner detection device and the defect are estimated, and the calculated formula is expressed as follows:
α＝α2-α1
Wherein D is the inner diameter of the tube, D is the standard size of the annular direction in the mirror, H is the defect size of the disease, L is the eye distance, L 1 is the distance between the disease and the inner detection device during the first observation, L 2 is the distance between the disease and the inner detection device during the second observation, H 1 is the defect size in the mirror during the first observation, H 2 is the defect size in the mirror during the second observation, alpha 1 is the pitch angle during the first observation, alpha 2 is the pitch angle during the second observation, x is the distance between the two observation positions, and f is the focal length.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the disease characteristics detected and collected in the pipeline optics are obtained by installing the reticle with scales on the camera, so that the geometric dimension of the disease defects in the pipeline can be directly estimated, and the detection efficiency and accuracy are greatly improved. The method not only can quantify defects such as cracks and corrosion along the pipe wall, but also can accurately measure the defect sizes of the section of the pipe, such as the length and the width of the barrier, the angular position along the circumferential direction and the like.
2. According to the invention, through standardized scale reading, dependence on experience and subjective judgment of an operator in a traditional CCTV (continuous casting) imaging method for detecting in-optical pipeline is reduced, so that objectivity and reliability of a detection result are enhanced; the method simplifies the detection data acquisition process in the pipeline optics, determines the disease size by directly reading the scale, improves the detection efficiency, and further reduces the maintenance cost and the required time.
Drawings
FIG. 1 is a schematic illustration of the graduation of a reticle in a method for identifying geometric features of a detected lesion in a pipeline with a measurement graduation according to the present invention.
FIG. 2 is a schematic diagram of the moving position of the pipeline optical internal detection camera device in the method of the invention.
FIG. 3 is a schematic diagram of the method for observing disease defects.
Fig. 4 is a schematic view of the first observation of the defect size in the lens by the method of the present invention.
FIG. 5 is a schematic view showing the size of the defect in the lens observed again by the method of the present invention.
Detailed Description
A method for identifying geometric characteristics of a measured-scale pipe optical internal inspection for disease according to the present invention will be described in more detail with reference to the accompanying drawings, wherein preferred embodiments of the present invention are shown, and it should be understood that the present invention described herein can be modified by those skilled in the art while still achieving the advantageous effects of the present invention, and therefore, the following description should be construed as broadly known to those skilled in the art and not as limiting the present invention.
As shown in FIG. 1, a method for identifying geometric features of detected diseases in pipeline optics with measurement scales is provided, a new measurement scale reticle is designed, and the reticle is arranged at a lens of the detection camera equipment in the pipeline optics, and comprises circumferential scales, transverse scales, longitudinal scales and an annular standard size frame for calibrating the measurement geometric features.
The circumferential scale is set to an integer between zero and three hundred sixty-one. The scales are divided into a main scale and a secondary scale, and the main scale is marked every 4 degrees so as to quickly position the basic angle. The secondary scales are uniformly distributed between the adjacent primary scales, and each secondary scale represents one degree so as to improve the accuracy and uniformity of measurement.
The transverse and longitudinal scales each comprise twenty primary scales. Every two adjacent main scales are further subdivided into ten small scales. The transverse graduations and the longitudinal graduations intersect at the original point to form a clear reading coordinate system.
The circle center of the annular standard size frame is positioned at the origin and is positioned at the intersection point of the transverse scale and the longitudinal scale.
Referring to fig. 2-5, the geometric feature recognition method for detecting the diseases in the pipeline optics specifically comprises the following steps:
Step 1
The imaging system of the pipeline optical internal detection equipment adopts a fixed focus lens, and when the focal length is adjusted to enable the section size of the far pipeline to coincide with the annular standard size frame, the internal defect state of the lens is recorded.
Step 2
When the defect is captured by the field of view in the image capturing device for the first time, the horizontal or vertical reading of the defect in the mirror surface at the moment is recorded and is recorded as h 1, and the position of the inner detection device at the moment and the pitch angle alpha 1 at the moment.
Step 3
After the recording device moves forward by a distance L 1, the section size of the far pipeline is ensured to be coincident with the annular standard size frame, the same disease defect marked at the same position is captured again, and the horizontal or vertical reading number of the disease defect in the mirror surface at the moment is recorded as h 2, and the position of the inner detection device at the moment and the pitch angle alpha 2 at the moment are recorded.
Step 4
For the development of circumferential defects along the pipe wall, recording circumferential scale readings corresponding to diseases, and particularly, taking the average value of the circumferential scales measured for multiple times to extract geometric features.
Step 5
According to the data measured in the front and back two times, analysis processing is carried out, specifically: based on the acquired size of the camera corresponding to the disease defect recorded twice, the movement distance of the inner detection device and the standard focal length corresponding to the pipe diameter, the geometric size of the target disease defect and the distance between the inner detection device and the disease can be estimated, and the calculation expression is as follows:
α＝α2-α1
Wherein D is the inner diameter of the tube, D is the standard size of the annular direction in the mirror, H is the defect size of the disease, L is the eye distance, L 1 is the distance between the disease and the inner detection device during the first observation, L 2 is the distance between the disease and the inner detection device during the second observation, H 1 is the defect size in the mirror during the first observation, H 2 is the defect size in the mirror during the second observation, alpha 1 is the pitch angle during the first observation, alpha 2 is the pitch angle during the second observation, x is the linear distance between the two observation positions, and f is the fixed focus of the camera lens.
The foregoing is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any person skilled in the art will make any equivalent substitution or modification to the technical solution and technical content disclosed in the invention without departing from the scope of the technical solution of the invention, and the technical solution of the invention is not departing from the scope of the invention.
Claims (7)
1. A geometric feature recognition method for detecting diseases in pipeline optics with measurement scales is characterized in that a reticle with measurement scales is designed for geometric feature recognition of detecting diseases in pipeline optics;
the reticle comprises a circumferential scale, a transverse scale, a longitudinal scale and an annular standard size frame, wherein the circumferential scale, the transverse scale and the longitudinal scale are all arranged in the annular standard size frame, the circumferential scale and the annular standard size frame are concentrically arranged, the transverse scale and the longitudinal scale are mutually perpendicular, and the intersection point is coincident with the circle center of the circumferential scale;
the geometric feature recognition method for detecting the diseases in the pipeline optics comprises the following steps:
S1: installing a reticle with measurement scales at a lens of the pipeline optical internal detection camera device;
s2: adjusting the focal length of the pipeline optical internal detection camera equipment to enable the section size of the pipeline to coincide with the annular standard size frame, and starting to record the internal defect state of the lens of the camera equipment;
S3: when the field of view of the image pickup device captures the defect for the first time, recording the horizontal or vertical reading of the defect in the mirror surface at the moment and recording as h 1, and recording the position of the detection image pickup device in the pipeline optics at the moment and the pitch angle alpha 1 at the moment;
s4: the forward running distance L 1 of the pipeline optical internal detection camera equipment is ensured to be overlapped with the annular standard size frame, the same disease defect marked at the same position is captured again, the horizontal or vertical reading of the disease defect in the mirror surface at the moment is recorded and is recorded as h 2, and the position of the pipeline optical internal detection camera equipment at the moment and the pitch angle alpha 2 at the moment are recorded;
s5: for the annular disease defects developed along the pipe wall, adopting the method in S4, and recording annular scale readings corresponding to the annular disease defects for a plurality of times;
s6: for the disease defects, analyzing and processing according to the data measured twice in S4 and S5; and for the annular defect, taking the average value of the circumferential graduations measured for a plurality of times to extract geometric features, and completing the identification of geometric features of the detected defect in the pipeline optics.
2. The method for identifying geometric features of a pipeline optical internal detection disease with a measurement scale according to claim 1, wherein the circumferential scale comprises three hundred sixty-one standard scale, each scale represents one degree and corresponds to an integer between zero and three hundred sixty in sequence, wherein the zero scale and the third hundred sixty scale are positioned at the top, and one to three hundred fifty-nine scales are arranged clockwise with the zero scale as a starting point.
3. The graduated tube optical internal inspection of claim 2. The identification method for the geometric features of the detected diseases is characterized in that one scale of three hundred and sixty is divided into a main scale and a secondary scale, wherein the main scale is an integer multiple of 5, and the other scales are secondary scales.
4. The graduated tube optical internal inspection of claim 1. The geometric characteristic identification method for the disease detection is characterized in that the transverse graduation and the longitudinal graduation comprise a plurality of main graduations which are arranged at equal intervals, and one of the main graduations is positioned at the circle center; a plurality of secondary scales are arranged between each two primary scales at equal intervals.
5. The graduated tube optical internal inspection of claim 4. The identification method of geometric features of disease detection is characterized in that the number of main scales is twenty, and the number of secondary scales between every two adjacent main scales is ten.
6. The graduated tube optical internal inspection of claim 1. The geometric characteristic identification method for the detected disease is characterized in that in S1, a lens of the pipeline optical internal detection imaging device is specifically a fixed focus lens.
7. The graduated tube optical internal inspection of claim 1. The identification method of geometric characteristics of the detected disease is characterized in that in the step S5, the analysis processing is specifically as follows: based on the two recorded sizes acquired by the cameras corresponding to the defect defects, the movement distance of the inner detection device and the standard focal length corresponding to the pipe diameter, the geometric size of the target defect defects and the distance between the inner detection device and the defect are estimated, and the calculated formula is expressed as follows:
α＝α2-α1
Wherein D is the inner diameter of the tube, D is the standard size of the annular direction in the lens, H is the defect size of the disease, L is the eye distance, L 1 is the distance between the disease and the inner detection device during the first observation, L 2 is the distance between the disease and the inner detection device during the second observation, H 1 is the defect size in the lens during the first observation, H 2 is the defect size in the lens during the second observation, alpha 1 is the pitch angle during the first observation, alpha 2 is the pitch angle during the second observation, x is the distance between the two observation positions, and f is the fixed focus focal length of the camera lens.
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