A method and apparatus for detecting a twisted tube of a tubular belt conveyor

Abstract

The application provides a tubular belt conveyor pipe twisting detection method and device, and the method comprises the following steps: collecting a picture of a pipe overlapping position of a tubular belt conveyor; extracting feature pixel points of the pipe overlapping position in the picture; retaining the feature pixel points located in the middle position as judgment pixel points; judging whether there is an intersection point between the judgment pixel points and a detection mark area, if there is an intersection point, it indicates that the pipe overlapping position exceeds the allowed range; if there is no intersection point, it indicates that the pipe overlapping position meets the requirements. The detection device comprises a camera for shooting a picture of a pipe overlapping position of a tubular belt conveyor; a picture information processing unit connected with the camera and adopting the above tubular belt conveyor pipe twisting detection method to judge whether the belt conveyor has a pipe twisting fault. The system operation efficiency is improved, the service life of the equipment is prolonged, and the operation and maintenance cost of the enterprise is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pipe belt conveyor pipe detection, in particular to a pipe belt conveyor pipe detection method and device. BACKGROUND

[0002] At present, the belt conveyor is widely used in the fields of electric power, steel, coal, water conservancy, chemical industry, metallurgy, building materials and the like. The pipe belt conveyor in the belt conveyor series has the advantages of closed conveying, flexible arrangement, environmental protection and the like, and has been more widely used in various industries.

[0003] The pipe belt conveyor refers to a kind of belt conveyor that the conveying belt is wound into a circular tube with edge lap by the support roller. Normally, the lap joint position of the pipe conveying belt is located directly above the upper pipe and directly below the lower pipe, but when improper installation, mechanical structure deformation, uneven rigidity of the conveying belt and the like occur, the lap joint of the pipe conveying belt will deviate from the normal position, and the farther the deviation from the normal position, the more prone to pipe twisting accidents. The pipe twisting of the pipe belt conveyor will cause the edge of the conveying belt to be worn or clamped into the support roller, resulting in tearing of the conveying belt, material scattering or damage to the mechanical structure and the like.

[0004] The existing determination method mostly uses a mechanical switch type sensor close to the circular tube conveying belt for installation. When the conveying belt is twisted, the lap joint point of the conveying belt touches the mechanical switch to make the switch act, and at the same time, the signal is transmitted to the control system for identification and judgment. However, this method has the problems of easy damage of the mechanical switch, easy interference of the signal, poor reliability, high requirement for installation precision and the like. Therefore, a non-contact determination method is developed to monitor the position of the lap joint point of the conveying belt in real time, so as to determine whether the pipe belt conveyor has the pipe twisting phenomenon, which can effectively avoid the problems existing in the contact type method, and has important practical significance for reducing the number of accidents, prolonging the service life of the equipment, improving the system operation efficiency and reducing the operation and maintenance cost of the enterprise. SUMMARY

[0005] The present application aims to at least solve one of the technical problems in the prior art that there is a lack of effective and reliable method for detecting pipe twisting fault of the pipe belt conveyor, and the mechanical switch of the traditional mechanical switch type sensor detection method is easy to be damaged, the signal is easy to be interfered, the reliability is poor, and the requirement for installation precision is high.

[0006] Therefore, the first aspect of the present application provides a pipe belt conveyor pipe detection method.

[0007] The second aspect of the present application provides a pipe belt conveyor pipe detection device.

[0008] The pipe belt conveyor pipe detection method provided by the present application comprises the following steps:

[0009] S1, collect a picture of the overlap position of the conveying belt of the tubular belt conveyor;

[0010] S2, extract feature pixel points of the overlap position of the conveying belt in the picture;

[0011] S3, retain the feature pixel points located in the middle position as determination pixel points;

[0012] S4, judge whether there is an intersection between the determination pixel points and the detection mark area, if there is an intersection, it indicates that the overlap position of the conveying belt exceeds the allowed range, if there is no intersection, it indicates that the overlap position of the conveying belt meets the requirements.

[0013] According to the tubular belt conveyor pipe twisting detection method provided by the present application, the above technical scheme can further have the following additional technical features:

[0014] In the above technical scheme, in S1, after collecting the picture of the overlap position of the conveying belt of the tubular belt conveyor, the collected picture is subjected to gray scale processing and / or noise reduction processing and / or enhancement processing.

[0015] In the above technical scheme, in S2, when extracting the feature pixel points of the overlap position of the conveying belt in the picture, the continuous pixel points are screened as the feature pixel points.

[0016] In the above technical scheme, the method of screening the continuous pixel points as the feature pixel points includes:

[0017] S21, obtain all the pixel points of the overlap position of the conveying belt;

[0018] S22, judge whether the pixel points are continuous, if yes, scan column by column along the first direction, record the number of pixel points, and define the recorded pixel points as feature pixel points, if not, execute the next step;

[0019] S23, along the first direction, judge whether there are at least three adjacent pixel points around each pixel point, if yes, retain the pixel point, and return to S22, if not, delete the pixel point, and return to S22.

[0020] In the above technical scheme, S3 includes the following steps:

[0021] S31, judge whether the number of feature pixel points in each column is odd or even;

[0022] S32, when the number of feature pixel points in the column is odd, only retain the feature pixel points in the middle row as determination pixel points;

[0023] S33, when the number of the column characteristic pixel points is even, then the middle two rows of pixel points are reserved, and the remaining pixel points are deleted; the distance of the two rows of reserved pixel points from the nearest judgment pixel point is judged, the pixel point with the smallest distance from the judgment pixel point is reserved, and the remaining pixel points are deleted; the reserved pixel point is taken as the judgment pixel point.

[0024] In the above technical solution, the fixed position camera or the movable camera is used to shoot the picture of the pipe belt conveyor in S1.

[0025] In the above technical solution, when the judgment pixel point intersects with the detection mark area in S4, the pipe belt conveyor issues an alarm prompt or stops.

[0026] In the above technical solution, when the detection mark area is entered or contacted by the pipe belt conveyor, the pipe belt conveyor is prone to pipe twisting failure.

[0027] The pipe belt conveyor pipe twisting detection device provided by the application comprises:

[0028] The camera is used to shoot the picture of the pipe belt conveyor.

[0029] The picture information processing unit is connected with the camera, and adopts the pipe belt conveyor pipe twisting detection method in any one of the above technical solutions to judge whether the pipe belt conveyor has pipe twisting failure.

[0030] As described above, due to the adoption of the above technical features, the application has the following beneficial effects:

[0031] The pipe belt conveyor pipe twisting detection method provided by the application can realize real-time collection of pipe belt joint point information, analysis and judgment of whether the pipe belt conveyor has pipe twisting phenomenon, and timely tracking and processing by maintenance personnel, and completely replaces manual inspection, avoids the disadvantages of personnel operation, and avoids the problems of mechanical switch damage, signal interference, poor reliability, high installation precision requirement in the detection method of traditional mechanical switch type sensor, improves system operation efficiency, prolongs equipment service life, and reduces enterprise operation and maintenance cost.

[0032] Additional aspects and advantages of the application will become apparent from the following description, or will be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0033] The above and / or additional aspects and advantages of the application will become apparent and be readily understood by considering the following detailed description, including the accompanying drawings, in which:

[0034] Fig. 1is a flow of a pipe belt conveyor pipe twisting detection method according to an embodiment of the present application;

[0035] Fig. 2 is a schematic diagram of the pipe belt conveyor pipe twisting detection method according to an embodiment of the present application;

[0036] Fig. 3 is a schematic diagram of the pipe belt conveyor pipe twisting detection method according to an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0038] In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application, however, the present application can also be implemented in other different ways from those described herein, therefore, the protection scope of the present application is not limited by the specific embodiments disclosed below.

[0039] Some embodiments of the present application provide a pipe belt conveyor pipe twisting detection method and device according to some embodiments of the present application. Figs. 1 to 3 Some embodiments of the present application provide a pipe belt conveyor pipe twisting detection method and device according to some embodiments of the present application.

[0040] Some embodiments of the present application provide a pipe belt conveyor pipe twisting detection method.

[0041] The first embodiment of the present application provides a pipe belt conveyor pipe twisting detection method, the detection method comprising the following steps:

[0042] S1, collecting a pipe belt conveyor belt lap position picture; in S1, a fixed position camera or a movable camera can be used to shoot a pipe belt conveyor belt lap position picture. In S1, after collecting the pipe belt conveyor belt lap position picture, the collected picture is subjected to gray scale processing and / or noise reduction processing and / or enhancement processing.

[0043] S2, extracting feature pixel points of the belt lap position in the picture; in S2, when extracting the feature pixel points of the belt lap position in the picture, continuous pixel points are selected as feature pixel points.

[0044] The method of selecting continuous pixel points as feature pixel points comprises:

[0045] S21, obtaining all pixel points of the belt lap position;

[0046] S22, judging whether the pixel points are continuous, if continuous, scanning along the first direction column by column, recording the number of pixel points, and defining the recorded pixel points as feature pixel points; if not continuous, executing the next step;

[0047] S23, judging whether there are at least three adjacent pixel points around each pixel point as the center along the first direction, if yes, retaining the pixel point, and returning to S22; if not, deleting the pixel point, and returning to S22.

[0048] S3, retaining the feature pixel points located at the middle position as the judgment pixel points;

[0049] Specifically, S3 comprises the following steps:

[0050] S31, judging whether the number of feature pixel points in each column is odd or even;

[0051] S32, when the number of feature pixel points in the column is odd, retaining only the middle row of feature pixel points as the judgment pixel points;

[0052] S33, when the number of feature pixel points in the column is even, retaining the middle two rows of pixel points and deleting the remaining pixel points; judging the distance between the retained two rows of pixel points and the nearest judgment pixel points, retaining the pixel point with the minimum distance from the judgment pixel points and deleting the remaining pixel points; taking the retained pixel points as the judgment pixel points.

[0053] S4, judging whether there is an intersection between the judgment pixel points and the detection mark area, if yes, indicating that the overlap position of the conveyor belt exceeds the allowed range; if not, indicating that the overlap position of the conveyor belt meets the requirements.

[0054] The second embodiment of the present application proposes a pipe belt conveyor pipe twisting detection method, and based on the first embodiment, as shown in the figure, comprising the following steps: Fig. 1

[0055] Firstly, a fixed position camera or a movable camera is used to shoot the conveyor belt overlap position picture of the pipe belt conveyor;

[0056] Secondly, the picture collected in the first step is subjected to gray scale, noise reduction and enhancement processing;

[0057] Thirdly, the pixel points of the conveyor belt overlap position in the picture are extracted; that is, the image recognition technology is used to extract all the pixel points representing the conveyor belt overlap position in the picture;

[0058] ​Fourthly, it is judged whether the pixel points extracted in the third step are continuous, if the pixel points are continuous, scanning column by column along the first direction, the number of pixel points is recorded, and the recorded pixel points are defined as feature pixel points, if the pixel points are not continuous, taking each pixel point as the center, it is judged whether there are at least three adjacent pixel points around the pixel point, if there are, the pixel point is reserved, if not, the pixel point is deleted, until the discontinuous pixel points are removed, and then the continuous pixel points are scanned column by column along the first direction, the number of pixel points is recorded, and the recorded pixel points are defined as feature pixel points, specifically, the first direction can be from left to right, or from right to left, or other direction set according to actual situation, and whether there are adjacent pixel points around the pixel point refers to whether there are adjacent pixel points in the upper, lower, left, right, upper left, lower left, upper right and lower right directions of the pixel point, after any three directions have adjacent pixel points, the pixel point is reserved and defined as a feature pixel point, and then the next pixel point is judged.

[0059] Fifthly, it is judged whether the number of feature pixel points in each column is odd or even, if the number of feature pixel points in the column is odd, only the middle row of feature pixel points is reserved as a judgment pixel point, if the number of feature pixel points in the column is even, the middle two rows of pixel points are reserved, and the remaining pixel points are deleted, the distance between the two rows of pixel points and the nearest judgment pixel point is judged, the pixel point with the smallest distance from the judgment pixel point is reserved, and the remaining pixel points are deleted, and the reserved pixel point is used as a judgment pixel point.

[0060] Sixthly, a detection mark area is defined, Fig. 2 The overlapping position of the conveying belt of the tubular belt conveyor in normal operation is shown, Fig. 3 The overlapping position of the conveying belt of the tubular belt conveyor in the case of pipe twisting fault is shown, it can be seen that when the detection mark area is entered or contacted by the overlapping position of the conveying belt, the belt conveyor is prone to pipe twisting fault or has occurred pipe twisting fault, specifically, the detection mark area can be set artificially, and a certain margin can be reserved when setting the detection mark area, so as to identify the fault before the fault occurs.

[0061] Seventhly, it is judged whether there is an intersection between the judgment pixel point in the fifth step and the detection mark area in the sixth step, if there is an intersection, it indicates that the overlapping position of the conveying belt exceeds the allowed range, an alarm prompt or stop processing is given, if there is no intersection, it indicates that the overlapping position of the conveying belt meets the requirements, and the belt conveyor continues to operate.

[0062] The third embodiment of the application provides a pipe twisting detection device for a tubular belt conveyor, and based on any of the above embodiments, the device comprises a camera and a picture information processing unit.

[0063] The camera is used for taking pictures of the overlapped position of the conveying belt of the tubular belt conveyor; the picture information processing unit is connected with the camera, and a tubular belt conveyor pipe twisting detection method as described in any one of the above embodiments is used to determine whether the belt conveyor has a pipe twisting fault.

[0064] In this specification, illustrative discussions of terms are not necessarily referring to the same embodiment or example. Moreover, descriptions of particular features, structures, materials, or characteristics are not to be necessarily interpreted as limiting any one or more embodiments or examples.

[0065] Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for detecting a twisted pipe of a tubular belt conveyor, characterized by, The method comprises the following steps: S1, collecting a picture of the overlapped position of the conveying belt of the tubular belt conveyor; S2, extracting feature pixel points of the overlapped position of the conveying belt in the picture; S3, retaining feature pixel points located in the middle position as judgment pixel points; S4, judging whether the judgment pixel points and a detection mark area have intersection points, if there are intersection points, it indicates that the overlapped position of the conveying belt exceeds the allowed range, if there are no intersection points, it indicates that the overlapped position of the conveying belt meets the requirements; In S2, when extracting the feature pixel points of the overlapped position of the conveying belt in the picture, continuous pixel points are screened as feature pixel points; The method for screening continuous pixel points as feature pixel points comprises: S21, obtaining all pixel points of the overlapped position of the conveying belt; S22, judging whether the pixel points are continuous, if they are continuous, scanning column by column along a first direction, recording the number of pixel points, and defining the recorded pixel points as feature pixel points, if they are not continuous, executing the next step; S23, judging whether there are at least three adjacent pixel points around each pixel point as the center along the first direction, if there are, retaining the pixel point, and returning to S22, if there are not, deleting the pixel point, and returning to S22.

2. A method of detecting a twisted pipe of a tubular belt conveyor according to claim 1, characterized in that, In S1, after collecting the picture of the overlapped position of the conveying belt of the tubular belt conveyor, the collected picture is subjected to gray scale processing and / or noise reduction processing and / or enhancement processing.

3. A method of detecting a twisted pipe of a tubular belt conveyor according to claim 1, characterized in that, S3 comprises the following steps: S31, judging whether the number of feature pixel points in each column is odd or even; S32, when the number of feature pixel points in the column is odd, only retaining the middle row of feature pixel points as judgment pixel points; S33, when the number of feature pixel points in the column is even, retaining the middle two rows of pixel points and deleting the remaining pixel points, judging the distance between the retained two rows of pixel points and the nearest judgment pixel points, retaining the pixel point with the smallest distance from the judgment pixel point, and deleting the remaining pixel points; Retaining the pixel points as judgment pixel points.

4. A method of detecting a twisted pipe of a tubular belt conveyor according to claim 1, characterized in that, In S1, a fixed-position camera or a movable camera is used to shoot the picture of the overlapped position of the conveying belt of the tubular belt conveyor.

5. A method of detecting a twisted pipe of a tubular belt conveyor according to claim 1, characterized in that, In S4, when the judgment pixel points have intersection points with the detection mark area, the belt conveyor issues an alarm prompt or stops.

6. A method of detecting a twisted pipe of a tubular belt conveyor according to claim 1, characterized in that, The detection mark area is an area in which the belt conveyor is prone to pipe twisting failure when the overlapped position of the conveying belt enters or contacts the area.

7. A tubular belt conveyor pipe twisting detection device, characterized by It comprises: a camera for shooting a picture of the overlapped position of the conveying belt of the tubular belt conveyor; a picture information processing unit connected with the camera, which adopts a tubular belt conveyor pipe twisting detection method as claimed in any one of claims 1 to 6 to judge whether the belt conveyor has pipe twisting failure.

Images