CN114380166A - Dynamic quantitative evaluation device and method for elevator steel belt damage - Google Patents
Dynamic quantitative evaluation device and method for elevator steel belt damage Download PDFInfo
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- CN114380166A CN114380166A CN202210070834.4A CN202210070834A CN114380166A CN 114380166 A CN114380166 A CN 114380166A CN 202210070834 A CN202210070834 A CN 202210070834A CN 114380166 A CN114380166 A CN 114380166A
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- 238000001914 filtration Methods 0.000 description 7
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B7/00—Other common features of elevators
- B66B7/12—Checking, lubricating, or cleaning means for ropes, cables or guides
- B66B7/1207—Checking means
- B66B7/1215—Checking means specially adapted for ropes or cables
- B66B7/1223—Checking means specially adapted for ropes or cables by analysing electric variables
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
Abstract
The invention discloses a dynamic quantitative evaluation device and a dynamic quantitative evaluation method for elevator steel belt damage, wherein the device comprises a guide wheel assembly, a guide wheel and a steel belt synchronously move, so that a detection device keeps the position unchanged; the machine vision damage detection module is used for rapidly acquiring a steel belt surface photo; the eddy current thermal imaging detection module comprises an induction heating coil surrounding a steel strip, two front infrared thermal imagers arranged at the front end of the induction heating coil and two rear infrared thermal imagers arranged at the rear end of the induction heating coil, wherein the front infrared thermal imagers shoot unheated steel strips, and the rear infrared thermal imagers shoot the heated steel strips; the position detection module is used for detecting the movement position information of the steel belt; and the alarm module is used for alarming in a grading way. The dynamic detection device and the quantitative evaluation method for the damage of the elevator steel belt can perform dynamic damage detection and quantitative evaluation on the damage degree of the polyurethane coating on the surface of the steel belt and the steel wire rope in the steel belt, and monitor the health condition of the elevator.
Description
Technical Field
The invention relates to a dynamic quantitative evaluation device and method for elevator steel belt damage, which can be used for respectively carrying out damage detection and positioning on a polyurethane coating layer on the surface of a steel belt and a steel wire rope in the steel belt, so as to realize dynamic quantitative evaluation on the damage degree of the steel belt.
Background
The elevator steel belt is a novel transmission and bearing component developed from a traditional steel wire rope, and the core of bearing a heavy object is the steel wire ropes arranged in the steel belt at equal intervals side by side. Compared with the traditional elevator steel wire rope, the steel wire rope is completely wrapped by the polyurethane coating layer coated on the outer surface of the steel belt, so that the steel wire rope has insulating property, can protect the inner steel wire rope, reduces the occurrence of corrosion and abrasion of the inner side-by-side steel wire rope, has the advantages of good abrasion resistance, good flexibility, long service life, high traction force, capability of effectively reducing vibration and noise during elevator operation, reduction of the size of an elevator traction wheel and the like, and is more and more widely applied to the elevator industry. As an elevator bearing component, when the elevator steel belt is used, the polyurethane coating layer on the outer part of the steel belt is abraded and broken under the long-term stress bearing effect, and the steel wire ropes arranged side by side in the steel belt are damaged by structural deformation, wire breakage and the like. At present, the nondestructive detection technology for the steel belt is still imperfect, so that quantitative real-time damage detection for the inside and the outside of the elevator steel belt is carried out, the health condition of the elevator steel belt is timely and accurately monitored, the replacement time of the steel belt can be determined, and the nondestructive detection method has important significance for avoiding economic loss and ensuring the operation safety of an elevator.
Patent No. CN201510903150.8 discloses a device and a method for detecting a composite traction steel belt of an elevator, which utilizes a high-frequency voltage source and a power detection module, and a judgment module compares the received power with the initial value power, thereby obtaining the wear condition of a steel wire rope. This patent can not carry out effectual detection to the damaged of the outside polyurethane coating of wire rope, and this patent installation difficulty simultaneously detects the precision error great.
The patent No. CN201811621110.4 discloses a dynamic quantitative evaluation device and a detection method for elevator steel belt damage, which analyze the stress distribution of steel belt acting on a guide wheel and the stress condition among steel belts through a strain gauge to analyze the broken wire number of an internal steel wire rope.
Patent No. CN202020239944.5 provides an intelligent elevator steel band damage dynamic quantitative evaluation device, and whether the internal wire rope has broken wires is judged mainly by carrying out magnetic flux analysis on the steel band through a magnetic sensor. Because the polyurethane coating layer on the surface of the steel strip has no ferromagnetism, the fracture and abrasion of the steel strip cannot be detected, and the damaged part cannot be calibrated.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a dynamic detection device and a quantitative evaluation method for elevator steel belt damage, which can perform dynamic damage detection and quantitative evaluation on the damage degree of a polyurethane coating on the surface of a steel belt and a steel wire rope in the steel belt, realize real-time rapid detection and dynamic quantitative evaluation on the damage degree and damage positioning of the elevator steel belt, and monitor the health condition of an elevator. The device is simple to operate, high in efficiency, high in speed and high in reliability, and can realize graded alarm and guarantee the operation safety of the elevator.
In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:
a dynamic and quantitative evaluation device for damage of an elevator steel belt comprises a guide wheel assembly, a machine vision damage detection module, an eddy current thermal imaging detection module, an information transmission module, a position detection module, an alarm module and a PC (personal computer) processing end, wherein the elevator steel belt consists of an elevator steel belt surface coating layer and an internal steel wire rope;
the guide wheel assembly comprises an upper partition plate, a lower partition plate and guide wheels, wherein the upper partition plate and the lower partition plate are symmetrically arranged on the upper side and the lower side of the steel strip, and the guide wheels are arranged on the two partition plates;
the machine vision damage detection module is used for rapidly acquiring a steel strip surface photo so as to acquire steel strip surface coating layer damage information;
the eddy current thermal imaging detection module is used for acquiring damage information of the steel wire rope in the steel belt;
the position detection module is used for detecting the movement position information of the steel belt;
the information transmission module comprises a data transmission module and a thermal imaging graph transmission module and is used for transmitting the data obtained by the machine vision damage detection module, the eddy current thermal imaging detection module and the position detection module to a PC processing end in real time;
and the PC processing end carries out real-time online processing and analysis to respectively obtain the damage information of the steel belt surface coating layer and the damage information of the steel wire rope in the steel belt, carries out coupling processing to determine whether the steel wire has defects or is scrapped, and carries out graded alarm through the alarm module according to the damage degree.
The eddy current thermal imaging detection module comprises an induction heating coil surrounding a steel strip, two front thermal imagers and two rear thermal imagers, wherein the front end of the induction heating coil is respectively installed on an upper partition plate and a lower partition plate, the two front thermal imagers and the two rear thermal imagers are respectively installed on the upper partition plate and the lower partition plate, the front thermal imagers shoot unheated steel strips, and the rear thermal imagers shoot the heated steel strips.
The guide wheel includes:
two front guide wheels which are arranged oppositely up and down and two rear guide wheels which are arranged oppositely up and down.
The machine vision damage detection module comprises two identical industrial high-speed cameras which are respectively arranged on the upper partition plate and the lower partition plate.
The position detection module comprises a coding wheel and an encoder, wherein the coding wheel and the guide wheel assembly synchronously rotate, and the encoder is in signal connection with the coding wheel.
The thermal imager is an infrared thermal imager.
The coating layer material on the surface of the steel belt is polyurethane.
The invention further discloses a dynamic quantitative damage assessment and detection method for the elevator steel belt, which is based on the dynamic quantitative damage assessment device for the elevator steel belt and comprises the following steps:
s1, acquiring a steel strip surface coating picture based on an industrial high-speed camera;
s2, acquiring a temperature distribution map of the steel wire rope in the steel belt based on an infrared thermal imager;
s3, acquiring a detection position based on the encoding wheel and the encoder;
s4, processing and analyzing the acquired image to obtain a steel belt surface coating layer damage outline area and a steel belt internal steel wire rope damage outline area;
s5, quantitatively evaluating the damage;
s51, respectively setting a damage threshold and a scrap threshold for the steel belt surface coating layer and the steel belt internal steel wire rope; the damage threshold comprises a first damage threshold and a second damage threshold, the retirement threshold comprises a first retirement threshold and a second retirement threshold, wherein,
setting the first damage threshold value as zero, setting the second damage threshold value as a pre-eddy current thermal imaging instrument to obtain a temperature distribution diagram of the interior of the unheated steel strip, and processing the temperature distribution diagram to obtain a contour area through the step S4;
the first scrapping threshold is set as the area of the contour after the surface coating is shot by an industrial camera by taking the scrapped steel strip as a reference and the surface coating is processed in the step S4;
the second scrapping threshold is set as the scrapped steel strip to be subjected to eddy current heating, and the obtained temperature distribution graph is processed in the step S4 to obtain the outline area;
s52, if the damage outline area of the steel belt surface coating layer obtained in the step S3 is larger than a first damage threshold value, or the damage outline area of the steel rope in the steel belt is larger than a second damage threshold value, the step S43 is carried out, otherwise, the output steel belt is not damaged;
s53, if the damage area of the coating layer on the surface of the steel strip is larger than a first scrap threshold value, or the damage outline area of the steel wire rope in the steel strip is larger than a second scrap threshold value, outputting the steel strip scrap, and performing secondary alarm, otherwise, outputting the steel strip damage, and performing primary alarm;
s54, the coding wheel and the elevator steel belt keep synchronous movement, a signal is output once when the elevator steel belt rotates once by taking the initial detection position as an original point, the encoder converts displacement information into a digital signal and transmits the digital signal to the PC end through the transmission module, and when damage alarm occurs, damage position information is output and recorded.
The invention has the beneficial effects that:
(1) this device is equipped with leading directive wheel, rearmounted directive wheel and encoding wheel, adopts the rubber gyro wheel with the steel band is the same wide, plays the pretension effect, when the steel band motion, keeps and steel band simultaneous movement, makes detection device fixed, reinforcing detection device stability, improves and detects the precision to the realization is to the steel band nondestructive test, and simultaneously, through encoding wheel real-time recording steel band positional information, provides accurate damage positional information for the maintainer, so that maintenance and further detection.
(2) The method comprises the steps of obtaining a polyurethane coating image on the surface of a steel strip and an internal steel wire rope temperature distribution diagram through a high-speed industrial camera and an infrared thermal imager, transmitting the polyurethane coating image and the internal steel wire rope temperature distribution diagram to a PC (personal computer) end processing module through a transmission module, carrying out image graying, image noise reduction, edge detection, opening operation, closing operation and connected domain analysis processing on the polyurethane coating image on the surface of the steel strip and the internal steel wire rope temperature distribution diagram respectively based on python-opencv to obtain the damaged outline area, carrying out quantitative evaluation analysis based on the outline area as a reference, obtaining a polyurethane coating scrapping threshold on the surface of the steel strip and a steel wire rope scrapping threshold inside the steel strip respectively by taking the scrapped steel strip as a reference, and carrying out comprehensive evaluation on damage and scrapping of the steel strip by comparing the outline area with the scrapping threshold. Compared with the traditional nondestructive detection, the method couples the machine vision and the eddy current thermal imaging technology, can detect the damage positions of the inner steel belt and the outer steel belt in real time, greatly increases the detection accuracy and speed, carries out quantitative evaluation on the damage degree by setting the scrapping threshold value, realizes the damage and scrapping monitoring of the elevator steel belt, improves the detection anti-jamming capability and the alarm capability, and effectively monitors the health condition of the elevator steel belt.
Drawings
FIG. 1 is a schematic illustration of the application of a coupled industrial high speed camera and eddy current thermal imaging inspection method to a steel strip;
FIG. 2 is a schematic view of a steel strip structure;
FIG. 3 is a schematic diagram of eddy current testing of wire rope damage;
FIG. 4 is a schematic view of a comprehensive detection flow of damage to a steel strip;
FIG. 5 is a schematic flow chart of a method for detecting surface damage of a steel strip by an industrial high-speed camera;
FIG. 6 is a schematic flow chart of eddy current thermal imaging detection of steel wire ropes inside a steel belt;
wherein: 1-a steel belt; 2-leading guide wheel; 3-high speed industrial cameras; 4-a data transmission module; 5-PC processing end; 6-a position monitoring module; 7-thermal imaging image sensing module; 8-high frequency induction excitation source; 9-cooling system of high-frequency heater; 10-rear guide wheel; 11-a rear thermal imager; 12-an induction heating coil; 13-rear thermal imager; 14-a lower baffle; 15-upper partition board; 16-steel belt polyurethane coating; 17-steel belt built-in steel wire rope; 18-a steel cord; 19-an induction heating coil; 20-thermal imaging camera; 21-PC processing end; 22-damaged part of the steel wire rope; 23-vortex flow;
detailed description of the preferred embodiments
In order to facilitate a better understanding of the invention, the invention is described in further detail below with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, 2 and 3, the device is coupled to carry out comprehensive damage detection on a steel strip 1 to be detected based on two technologies of an industrial high-speed camera and eddy current thermal imaging, the steel strip is mainly divided into two parts, namely a steel strip surface polyurethane coating layer 13 and a steel strip internal steel wire rope 14, and the device comprises a steel strip guide wheel assembly, a position detection module 6, an industrial high-speed camera 3, infrared thermal imaging instruments 11 and 13 and a high-frequency alternating current heating system 12. The following describes each part:
the guide wheel assembly comprises a front guide wheel 2 and a rear guide wheel 10, is arranged on the upper partition plate 14 and the lower partition plate 15 of the steel strip in parallel and keeps synchronous motion with the steel strip, and has relative stability so as to ensure that the industrial high-speed camera 3 can shoot high-quality pictures and the induction heating coil can uniformly heat the steel strip.
And the position detection module 6 comprises a coding wheel and a position encoder, wherein the position coding wheel and the steel belt synchronously move, and can send a signal once every revolution to record the movement position information.
And the industrial high-speed camera 3 is characterized in that industrial cameras with 1600 ten thousand pixels and a frame rate of 150fps are selected and arranged on the front side and the back side of the steel strip in parallel to obtain the complete view of the polyurethane coating on the surface of the rapidly moving steel strip.
Infrared thermal imaging system, including leading infrared thermal imaging system 11 and rearmounted thermal imaging system 13, install at last baffle 15 and lower baffle 16, leading thermal imaging system 11 mainly shoots and obtains the not heated temperature distribution diagram of steel band as the reference, prevents that the steel band from producing the temperature rise partially when the rapid movement, shoots the temperature distribution diagram that the steel band obtained after the heating to rearmounted thermal imaging system, production is disturbed, makes damage detection accuracy descend.
A high-frequency alternating current heating system comprises an induction heating coil 17, a high-frequency heating excitation source 8 and a cooling system 9 of a high-frequency heating machine, wherein a part of a steel strip needing to be heated is locally heated, the high-frequency heating excitation source provides alternating current with the frequency of 240Khz to the induction heating coil 17, the induction heating coil 17 generates an alternating magnetic field, and because a steel wire rope in the steel strip has ferromagnetism, eddy current can be generated, as shown in figure 3, the steel wire rope 15 in the steel strip is wholly heated, if abrasion occurs, the temperature of an abrasion part is lower than that of a non-abrasion area, and the eddy current density at a broken wire position is increased, so that the local temperature is increased and is higher than that of the non-broken wire area. Thereby judging the damage form.
The induction heating coil 12 surrounds the steel strip by a copper pipe with a proper pitch, can uniformly heat the steel strip all around, can change the number of turns of the induction heating coil 12, heats the steel strips with different widths, and the higher the number of turns, the faster the heating rate.
And a cooling system 9 of the high-frequency heater is connected with the induction heating coil 17 and the high-frequency heating excitation source 8, and the intermediate cooling water circularly flows to play a role in cooling protection.
And the PC processing end 5 is used for respectively processing and analyzing the polyurethane coating layer image on the surface of the steel belt and the temperature distribution map of the steel wire rope in the steel belt, acquiring the damage position and form, carrying out damage positioning according to the motion information, integrating the damage conditions of the polyurethane coating layer image and the steel wire rope in the steel belt, and setting an alarm system.
In this embodiment, the data processing terminal is a PC terminal 5, which is connected to the data transmission module 4 and the thermal imaging graph sensor 7, the industrial high-speed camera 3 is connected to the data transmission module 4 through a serial port with the position detection module 6, and the front infrared thermal imager 13 and the rear infrared thermal imager 11 are connected to the thermal imaging graph sensor 7 through serial ports.
Further, as shown in fig. 3, a defect distribution diagram of the surface of the steel wire rope 16 inside the steel belt to be detected is shown, wherein reference numeral 20 is a defect portion, and the temperature distribution can be seen through the distribution characteristics of the defect vortex 21 on the surface of the steel wire rope 16 to be detected. The concrete expression is as follows: since the worn portion is heated at a lower efficiency than the non-defective portion, the temperature at the defective portion exhibits a locally low temperature upon induction heating. The temperature of the broken wire part is higher than that of the broken wire part due to the increase of the eddy current density, so that the broken wire part is locally high in temperature during induction heating, and the outline area is obtained by processing the temperature distribution diagram.
As shown in fig. 4, 5 and 6, the method for detecting the elevator steel strip couples two technologies of an industrial high-speed camera and eddy current thermal imaging to perform quantitative damage detection, evaluation and analysis on the steel strip, and comprises the following steps:
first, installation device
The steel belt 1 is used as a steel belt to be detected, the guide wheels 2 and 10 are pre-tightened to keep the guide wheels and the steel belt to move synchronously, and the high-speed industrial cameras 2 are symmetrically arranged on two sides of the steel belt to shoot a polyurethane coating on the surface of the steel belt. The front thermal imaging camera 11 and the rear thermal imaging camera 13 are symmetrically arranged on two sides of the induction heating coil to obtain a temperature distribution diagram of the steel strip.
And secondly, when the image is acquired and the steel belt 1 is transmitted to move rapidly, the guide wheels 2 and 10 and the steel belt 1 move synchronously to fix the position of the steel belt and keep the stability. The industrial high-speed camera 2 can continuously shoot original images of the polyurethane coating on the surface of the steel strip, and the front infrared thermal imager and the rear infrared thermal imager respectively shoot a distribution diagram of the temperature and the temperature before and after the steel strip is not heated at the same position. And respectively transmitted to the PC processing end 5 in real time through the data transmission module 4 and the thermal imaging image sensor 7.
Position and motion information
When the steel belt moves rapidly, the coding wheel and the steel belt keep synchronous motion, a signal is sent out once every rotation of one circle, the position monitoring module 6 records a signal once and converts the signal into displacement information through a pulse signal so as to mark a damage position.
Fourth, damage detection
Based on python-opencv, the method comprises five steps of image graying, bilateral filtering, image edge detection, open operation and close operation processing and connected domain analysis, and the damage is calibrated and identified.
The method comprises the following steps: graying the image, namely converting the original image into a grayscale image by using a weighted average method, wherein the image graying processing formula is as follows;
H(x,y)＝0.299×R(x,y)+0.578×G(x,y)+0.144×B(x,y)
where R (x, y) represents a red pixel value, G (x, y) represents a green pixel value, and B (x, y) blue pixel value.
The invention adopts a weighted average method, different weights are given to R, G, B three channels on an original image, and then the operation of weighted average is adopted to obtain the gray value of each pixel point. The weighting coefficients are taken to be 0.299, 0.578 and 0.144, respectively, thereby obtaining a grayscale image.
Step two: and (3) image denoising, namely performing denoising treatment on the gray level image by adopting bilateral filtering, wherein the bilateral filtering is nonlinear filtering and adopts a weighted summation method, and a weight matrix is obtained by multiplying a Gaussian function related to a spatial distance and a Gaussian function related to a gray level distance. It can achieve the effects of keeping the edge and reducing noise and smoothing. The formula is as follows:
wherein the weighting function is expressed as:
wherein g (i, j) is the processed pixel value at the (i, j) position; f (k, l) is a pixel value at a coordinate (k, l) of the pixel coordinate system, wherein omega (i, j, k, l) is a weighting coefficient, namely the size and the position of the pixel value at (k, l) around the pixel position of (i, j) are traversed, and the occupied weight is calculated, wherein the size of the occupied weight depends on the product of a domain kernel and a value domain kernel; (i, j) and (k, l) are coordinates corresponding to (x, y); σ is the standard deviation of the Gaussian function, σdRepresents the standard deviation of the distance gaussian; sigmarRepresenting the standard deviation of a Gaussian function related to the weight value;
step three: and (3) detecting the image edge, namely performing edge processing on the noise-reduced image by using a Canny algorithm to obtain a clearer texture map so as to facilitate identification and marking, wherein the method comprises the following four steps:
(1) and 5X5 Gaussian filtering is adopted for the input image, the image is smoothed, noise is eliminated, and the error rate is reduced. The result of the filtering is as follows:
g(x,y)＝G(x,y)×f(x,y)
(2) gradient calculation, namely calculating the gradient and the direction G of each pixel point by utilizing a Sobel operatorx、Gy. Because the gradient is where the gray change is significant and the edge is where the gray change is also significant, the direction of the gradient is classified into four categories: horizontal, vertical, two diagonal directions. The formula for calculating the edge gradient and gradient direction for each pixel is as follows:
(3) non-maximum suppression, edges may be amplified during gaussian filtering. This step uses a rule to filter points that are not edges, making the width of the edge as 1 pixel point as possible: if a pixel belongs to the edge, the gradient value of the pixel in the gradient direction is the largest. Otherwise, it is not an edge, and the gray value is set to 0. The formula is as follows:
(4) dual threshold screening
After the non-maximum value is suppressed, there are still many possible edge points, and a stage of determining a true edge by further setting a dual threshold (i.e. a low threshold and a high threshold) mainly determines which edges are true after the NMS above, and which are false edges, this stage needs to set two thresholds, minVal and maxVal, and any edge strength greater than maxVal is determined to be an edge and less than minVal is determined to be a non-edge, and then discard is performed.
Step four: and performing open operation and closed operation to obtain a clear texture map. The open operation has the functions of smoothing the peripheral outline of the target object, separating more tiny elements and eliminating irrelevant detail information. The closing operation also makes the peripheral contour a little smoother, but in contrast to the opening operation it plays a role in suturing narrow breaks, removing inconspicuous relief points and adding discontinuous portions of the peripheral contour.
Step five: and judging the qualified product according to the area of the connected domain, and after the opening operation and the closing operation are carried out on the surface image of the steel belt polyurethane coating, carrying out connected domain analysis on the current image so as to mark a defect area. Through the operation of connected component analysis, the information such as the area, the perimeter, the position and the like of the target region can be obtained. The connected region refers to a region formed by pixels having the same pixel value while being adjacent in position in an image. And the connected region analysis marks each connected region in the image, and then acquires the area, length, width and minimum external rectangle information of the connected region. And finally, comparing the information of the connected region with a set threshold value, thereby realizing the identification and marking of the defect region. And judging whether the product is qualified or not by the connected area.
Fifth, quantitative evaluation analysis
S1, acquiring a steel strip surface coating picture based on an industrial high-speed camera;
s2, acquiring a temperature distribution map of the steel wire rope in the steel belt based on an infrared thermal imager;
s3, acquiring a detection position based on the encoding wheel and the encoder;
s4, processing and analyzing the acquired image to obtain a steel belt surface coating layer damage outline area and a steel belt internal steel wire rope damage outline area;
s5, quantitatively evaluating the damage;
s51, respectively setting a damage threshold and a scrap threshold for the steel belt surface coating layer and the steel belt internal steel wire rope; the damage threshold comprises a first damage threshold and a second damage threshold, the retirement threshold comprises a first retirement threshold and a second retirement threshold, wherein,
setting the first damage threshold value as zero, setting the second damage threshold value as a pre-eddy current thermal imaging instrument to obtain a temperature distribution diagram of the interior of the unheated steel strip, and processing the temperature distribution diagram to obtain a contour area through the step S4;
the first scrapping threshold is set as the area of the contour after the surface coating is shot by an industrial camera by taking the scrapped steel strip as a reference and the surface coating is processed in the step S4;
the second scrapping threshold is set as the scrapped steel strip to be subjected to eddy current heating, and the obtained temperature distribution graph is processed in the step S4 to obtain the outline area;
s52, if the damage outline area of the steel belt surface coating layer obtained in the step S3 is larger than a first damage threshold value, or the damage outline area of the steel rope in the steel belt is larger than a second damage threshold value, the step S43 is carried out, otherwise, the output steel belt is not damaged;
s53, if the damage area of the coating layer on the surface of the steel strip is larger than a first scrap threshold value, or the damage outline area of the steel wire rope in the steel strip is larger than a second scrap threshold value, outputting the steel strip scrap, and performing secondary alarm, otherwise, outputting the steel strip damage, and performing primary alarm;
s54, the coding wheel and the elevator steel belt keep synchronous movement, a signal is output once when the elevator steel belt rotates once by taking the initial detection position as an original point, the encoder converts displacement information into a digital signal and transmits the digital signal to the PC end through the transmission module, and when damage alarm occurs, damage position information is output and recorded.
Claims (8)
1. The dynamic quantitative evaluation device for the damage of the elevator steel belt is characterized by comprising a guide wheel assembly, a machine vision damage detection module, an eddy current thermal imaging detection module, an information transmission module, a position detection module, an alarm module and a PC (personal computer) processing end, wherein the elevator steel belt consists of an elevator steel belt surface coating layer and an internal steel wire rope;
the guide wheel assembly comprises an upper partition plate, a lower partition plate and guide wheels, wherein the upper partition plate and the lower partition plate are symmetrically arranged on the upper side and the lower side of the steel strip, and the guide wheels are arranged on the two partition plates;
the machine vision damage detection module is used for rapidly acquiring a steel strip surface photo so as to acquire steel strip surface coating layer damage information;
the eddy current thermal imaging detection module is used for acquiring damage information of the steel wire rope in the steel belt;
the position detection module is used for detecting the movement position information of the steel belt;
the information transmission module comprises a data transmission module and a thermal imaging graph transmission module and is used for transmitting the data obtained by the machine vision damage detection module, the eddy current thermal imaging detection module and the position detection module to a PC processing end in real time;
and the PC processing end carries out real-time online processing and analysis to respectively obtain the damage information of the steel belt surface coating layer and the damage information of the steel wire rope in the steel belt, carries out coupling processing to determine whether the steel wire has defects or is scrapped, and carries out graded alarm through the alarm module according to the damage degree.
2. The elevator steel strip damage dynamic quantitative evaluation device according to claim 1, wherein the eddy current thermal imaging detection module comprises an induction heating coil surrounding the steel strip, two front thermal imagers disposed at a front end of the induction heating coil and respectively mounted on the upper partition plate and the lower partition plate, and two rear thermal imagers disposed at a rear end of the induction heating coil and respectively mounted on the upper partition plate and the lower partition plate, the front thermal imagers photographing unheated steel strip, and the rear thermal imagers photographing heated steel strip.
3. The elevator steel strip damage dynamic quantitative evaluation device of claim 1, wherein the guide wheel comprises:
two front guide wheels which are arranged oppositely up and down and two rear guide wheels which are arranged oppositely up and down.
4. The elevator steel strip damage dynamic quantitative evaluation device of claim 1, wherein the machine vision damage detection module comprises two identical industrial high-speed cameras mounted on the upper partition and the lower partition, respectively.
5. The elevator steel strip damage dynamic quantitative evaluation device according to claim 1, wherein the position detection module comprises an encoding wheel rotating synchronously with the guide wheel assembly and an encoder in signal connection with the encoding wheel.
6. The elevator steel strip damage dynamic quantitative assessment device according to claim 1, characterized in that said thermal imager is an infrared thermal imager.
7. The elevator steel belt damage dynamic quantitative evaluation device according to claim 1, wherein the steel belt surface coating material is polyurethane.
8. An elevator steel belt dynamic quantitative damage assessment and detection method based on the elevator steel belt damage dynamic quantitative assessment device of any one of claims 1 to 7 is characterized by comprising the following steps:
s1, acquiring a steel strip surface coating picture based on an industrial high-speed camera;
s2, acquiring a temperature distribution map of the steel wire rope in the steel belt based on an infrared thermal imager;
s3, acquiring a detection position based on the encoding wheel and the encoder;
s4, processing and analyzing the acquired image to obtain a steel belt surface coating layer damage outline area and a steel belt internal steel wire rope damage outline area;
s5, quantitatively evaluating the damage;
s51, respectively setting a damage threshold and a scrap threshold for the steel belt surface coating layer and the steel belt internal steel wire rope; the damage threshold comprises a first damage threshold and a second damage threshold, the retirement threshold comprises a first retirement threshold and a second retirement threshold, wherein,
setting the first damage threshold value as zero, setting the second damage threshold value as a pre-eddy current thermal imaging instrument to obtain a temperature distribution diagram of the interior of the unheated steel strip, and processing the temperature distribution diagram to obtain a contour area through the step S4;
the first scrapping threshold is set as the area of the contour after the surface coating is shot by an industrial camera by taking the scrapped steel strip as a reference and the surface coating is processed in the step S4;
the second scrapping threshold is set as the scrapped steel strip to be subjected to eddy current heating, and the obtained temperature distribution graph is processed in the step S4 to obtain the outline area;
s52, if the damage outline area of the steel belt surface coating layer obtained in the step S3 is larger than a first damage threshold value, or the damage outline area of the steel rope in the steel belt is larger than a second damage threshold value, the step S43 is carried out, otherwise, the output steel belt is not damaged;
s53, if the damage area of the coating layer on the surface of the steel strip is larger than a first scrap threshold value, or the damage outline area of the steel wire rope in the steel strip is larger than a second scrap threshold value, outputting the steel strip scrap, and performing secondary alarm, otherwise, outputting the steel strip damage, and performing primary alarm;
s54, the coding wheel and the elevator steel belt keep synchronous movement, a signal is output once when the elevator steel belt rotates once by taking the initial detection position as an original point, the encoder converts displacement information into a digital signal and transmits the digital signal to the PC end through the transmission module, and when damage alarm occurs, damage position information is output and recorded.
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| CN103279765A (en) * | 2013-06-14 | 2013-09-04 | 重庆大学 | Steel wire rope surface damage detection method based on image matching |
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| CN110006338A (en) * | 2019-04-28 | 2019-07-12 | 哈尔滨工业大学（深圳） | A kind of damage of steel cable area detecting method |
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| CN214427348U (en) * | 2020-11-13 | 2021-10-19 | 杭州市特种设备检测研究院 | Multi-channel eddy current sensor for monitoring abrasion loss of traction steel belt |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279765A (en) * | 2013-06-14 | 2013-09-04 | 重庆大学 | Steel wire rope surface damage detection method based on image matching |
| WO2017219727A1 (en) * | 2016-06-24 | 2017-12-28 | 窦柏林 | Holographic detection system for steel wire rope |
| CN110006338A (en) * | 2019-04-28 | 2019-07-12 | 哈尔滨工业大学（深圳） | A kind of damage of steel cable area detecting method |
| CN111678979A (en) * | 2020-07-10 | 2020-09-18 | 成都鳌峰机电设备有限责任公司 | Method and device for detecting eddy current thermal imaging defects of steel wire rope |
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