CN113311060A - Elevator cladding belt defect on-line detection and marking device and system - Google Patents
Elevator cladding belt defect on-line detection and marking device and system Download PDFInfo
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Abstract
The invention relates to the technical field of defect identification and fault diagnosis, and particularly discloses an elevator cladding belt defect online detection and marking device and system, which comprises an elevator cladding belt defect online detection and marking system, wherein the detection and marking system is applied to the detection and marking device, and the system specifically comprises: the magnetic flux leakage detection unit is used for generating a cladding belt internal defect signal; the visual detection unit is used for generating a cladding belt surface defect signal; a belt speed measuring unit for measuring a moving speed of the wrapping belt; the information integration unit is used for fusing data acquired by the magnetic flux leakage detection unit, the visual detection unit and the belt speed measurement unit; and the marking action execution unit is used for generating a marking instruction based on the data fused by the information integration unit. The invention provides a system and a method for detecting the defects of a cladding belt by combining artificial intelligence and a machine vision technology, which are used for comprehensively detecting the cladding belt in both inside and outside, and have comprehensive detection and high intelligent degree.
Description
Technical Field
The invention relates to the technical field of defect identification and fault diagnosis, in particular to an elevator cladding belt defect online detection and marking device and system.
Background
The elevator coating belt is used as a new elevator traction device, gradually begins to be widely applied due to the advantages of light weight, comfort and the like, and is favored by elevator manufacturers. Since it serves a special facility, the safety of the cover belt is critical to the life safety of the user, and thus, the evaluation of the safety state is very important. The visual detection method is a defect detection method with high efficiency and high reliability, can be applied to the clad belt, and achieves the purposes of safety detection and evaluation.
The detection of the aimed wrapping tape mainly has the following problems: at present, most of elevator equipment adopts a steel wire rope as a traction device, and the detection technology of a cladding belt lacks special research, so that the detection method is urgently needed to be researched. The cladding belt is divided into an inner carrier and an outer cladding. The defects of the outer cladding layer are detected by a method of artificially observing and detecting the defects, and the defects of the inner bearing body cannot be detected by the method; and aiming at the inner bearing layer, the detection personnel adopt magnetic flux leakage detection equipment, but the detection is carried out only after the field debugging is carried out manually at present.
At present, artificial intelligence is applied to various fields, and for the clad belt, the safety detection problem can be efficiently solved by adopting an artificial intelligence method. The machine learning method in the field of artificial intelligence is an intelligent method, and is based on a method for extracting data characteristics and influencing a decision making process according to the data characteristics.
Based on the existing problems, it is necessary to provide a more intelligent and comprehensive detection method for the wrapping belt. The invention provides a system and a method for detecting the defects of a cladding belt by combining artificial intelligence and a machine vision technology, which are used for comprehensively detecting the cladding belt in both inside and outside.
Disclosure of Invention
The invention aims to provide an elevator cladding belt defect online detection and marking device and system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the utility model provides an elevator cladding area defect on-line measuring and mark device, mark device specifically includes:
the shell is used for bearing the first detection assembly, the second detection assembly, the speed measurement assembly and the marking assembly; switch magnetic seats are arranged on two sides of the shell;
the first detection assembly is used for collecting a magnetic leakage signal and confirming the internal defect of the cladding belt based on the magnetic leakage signal;
the second detection assembly is used for acquiring an image signal and confirming the surface defect of the cladding belt based on the image signal;
the speed measuring component is used for acquiring the movement speed of the cladding belt; and
and the marking assembly is used for marking the defects of the cladding belt.
As the technical scheme of the invention is further limited: the first detection assembly specifically comprises:
at least one sensor group frame and a magnetic leakage sensor; and
and the telescopic rod mechanism is connected with the sensor group frame, and one side of the telescopic rod mechanism, which is far away from the sensor group frame, is connected with the shell.
As the technical scheme of the invention is further limited: the second detection assembly specifically comprises:
a light source device mounted on the housing; and
the cameras are symmetrically arranged on two sides of the light source equipment.
As the technical scheme of the invention is further limited: the marking assembly specifically comprises:
a roller frame;
a marking roller wheel mounted on the roller frame; and
a linear motor connected with the shell and used for driving the roller frame to move up and down
An elevator cladding belt defect on-line detecting and marking system is applied to the device and specifically comprises:
the magnetic flux leakage detection unit is used for generating a cladding belt internal defect signal;
the visual detection unit is used for generating a cladding belt surface defect signal;
a belt speed measuring unit for measuring a moving speed of the wrapping belt;
the information integration unit is used for fusing data acquired by the magnetic flux leakage detection unit, the visual detection unit and the belt speed measurement unit;
and the marking action execution unit is used for generating a marking instruction based on the data fused by the information integration unit.
As the technical scheme of the invention is further limited: the magnetic leakage detection unit specifically comprises:
the acquisition module is used for acquiring magnetic leakage signals and filtering the magnetic leakage signals;
the fusion module is used for connecting the filtered magnetic flux leakage signals;
and the processing execution module is used for extracting the characteristics of the connected magnetic leakage signals, generating corresponding amplitude angles and confirming the internal defect types and the defect amount based on the amplitude angles.
As the technical scheme of the invention is further limited: the visual detection unit specifically includes:
the image acquisition module is used for acquiring an image signal;
the image positioning module is used for positioning the defect points based on the image signals and generating defect areas;
and the defect classification module is used for identifying the defect area and confirming the surface defect type based on the identification result.
As the technical scheme of the invention is further limited: the information integration unit specifically comprises;
the information reading module is used for reading the defect type and the defect amount confirmed by the magnetic flux leakage detection unit, reading the classification result obtained by the visual detection unit and reading the movement speed obtained by the belt speed measurement unit;
a data fusion module for integrating the data and generating a defect report, wherein the defect report at least comprises an execution mark category and an execution time point
As the technical scheme of the invention is further limited: the marking action execution unit specifically comprises:
the report reading module is used for receiving the defect report and reading the execution mark type and the corresponding execution time point based on the defect report;
and the instruction generating module is used for generating a marking instruction based on the defect position.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a system and a method for detecting the defects of a cladding belt by combining artificial intelligence and a machine vision technology, which are used for comprehensively detecting the cladding belt in both inside and outside, and have comprehensive detection and high intelligent degree.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a schematic structural diagram of an elevator cladding belt defect online detection and marking device.
Fig. 2 is a schematic structural diagram of a telescopic rod mechanism in the elevator cladding belt defect online detection and marking device.
Fig. 3 is an architecture diagram of an elevator cladding belt defect on-line detection and marking system.
Fig. 4 is a diagram showing a mounting position of the magnetic flux leakage sensor.
Fig. 5 is a signal base circle constructed according to the installation position of the leakage magnetic sensor.
In the figure: the device comprises a shell 1, a magnetic leakage sensor 2, a sensor frame 3, a light source device 4, a camera 5, a marking roller 6, a linear motor 7, a roller frame 8, a switching magnetic seat 9, a speed sensor 10, a roller shaft 11 and a parallelogram telescopic mechanism 12.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
FIG. 1 shows a schematic structural diagram of an elevator cladding belt defect online detection and marking device;
fig. 2 shows a schematic structural diagram of a telescopic rod mechanism in the elevator cladding belt defect online detection and marking device.
Referring to fig. 1-2, an elevator belt defect online detection and marking device is provided, which specifically includes:
the device comprises a shell 1, a first detection assembly, a second detection assembly, a speed measurement assembly and a marking assembly, wherein the shell is used for bearing the first detection assembly, the second detection assembly, the speed measurement assembly and the marking assembly; the two sides of the shell 1 are provided with switch magnetic seats 9;
the first detection assembly is used for collecting a magnetic leakage signal and confirming the internal defect of the cladding belt based on the magnetic leakage signal;
the second detection assembly is used for acquiring an image signal and confirming the surface defect of the cladding belt based on the image signal;
the speed measuring component is used for acquiring the movement speed of the cladding belt; and
and the marking assembly is used for marking the defects of the cladding belt.
In an embodiment of the present invention, the housing 1 is a base of an integral device, the switch magnetic bases 9 are arranged on two sides of the housing 1, the switch magnetic bases 9 and the housing 1 are integrated, and for a specific connection mode, the connection mode may be a fixed connection or a detachable connection, wherein the simplest of the detachable connection modes is a threaded connection; the first detection assembly is matched with the second detection assembly to respectively confirm the internal defects of the wrapping belt and confirm the surface defects of the wrapping belt; the speed measuring component is used for marking the cladding belt in cooperation with the marking component, and actually, the speed measuring component can be regarded as a component of the marking component, but the speed measuring component and the marking component are of a separated structure.
As shown in fig. 1-2, as a preferred embodiment of the present invention, the first detecting component specifically includes:
at least one set of sensor group frame and magnetic leakage sensor 2; and
and the telescopic rod mechanism is connected with the sensor group frame, and one side of the telescopic rod mechanism, which is far away from the sensor group frame, is connected with the shell 1.
In an embodiment of the present invention, the telescopic rod mechanism is a parallelogram telescopic mechanism 12, the magnetic flux leakage sensor 2 is installed on the sensor holder 3 by bolt connection, the sensor holder 3 is installed at a diagonal position of the parallelogram telescopic mechanism 12 by bolt connection, the left end of the parallelogram telescopic mechanism 12 is installed on a screw hole at the front end of the housing 1 by bolt connection, the other end is installed on a length control at the front end of the housing 1 by screw connection, and the telescopic length of the parallelogram telescopic mechanism 12 can be adjusted by adjusting the bolt at this position. As for the specific structure of the telescopic rod mechanism, it is not necessary to be integrated in practice, for example, in a case where a fixed block is provided in the middle and two symmetrical telescopic rod mechanisms are provided at two sides of the fixed block, the working principle of this way is different from that of the above-mentioned parallelogram telescopic mechanism 12, which is also a feasible solution.
As a preferred embodiment of the present invention, the second detecting component specifically includes:
a light source device 4 mounted on the housing 1; and
and the cameras 5 are symmetrically arranged at two sides of the light source equipment 4.
In one embodiment of the present invention, the light source device 4, the camera 5 and the housing 1 are fixed above the housing 1 by bolts; it is worth mentioning that the bolt connection in the above process is not necessary, and some bolt-nut fit connection is also feasible; the light source device 4 is arranged at the center, and the cameras 5 are symmetrically arranged at the sides of the light source device 4, so that the difference of the working environment of each camera 5 is reduced.
As a preferred embodiment of the present invention, the marking assembly specifically includes:
a roller frame 8;
a marking roller 6 mounted on the roller frame 8; and
and the linear motor 7 is connected with the shell 1 and is used for driving the roller frame 8 to move up and down in a translation manner.
In one embodiment of the present invention, the linear motor 7 is mounted on the telescopic rod mechanism by bolt connection, and the output shaft of the linear motor 7 and the roller frame 8 can be flexibly connected, i.e. have elasticity, so as to prevent the cladding belt from being damaged in the marking process; it is worth mentioning that the purpose of the linear motor 7 driving the roller frame 8 is actually to drive the marking roller 6 to move. Wherein, the marking roller 6 and the roller frame 8 are concentrically connected by a roller shaft 11.
It should be mentioned that the most commonly used speed measuring component is the speed sensor 10, the speed sensor 10 can be installed on the housing 1, or can be installed on the roller frame 8, or even can be installed at the light source device 4, and only the speed of the cladding belt needs to be measured, and generally, the plane where the speed measuring component is located is perpendicular to the plane of the cladding belt.
Fig. 3 shows an architecture diagram of an elevator cladding belt defect on-line detection and marking system.
Referring to fig. 3, an elevator belt defect online detecting and marking system 100 is provided, which is applied to the device, and specifically includes:
a magnetic flux leakage detection unit 101 for generating a clad belt internal defect signal;
the magnetic leakage detection unit is installed on a first detection assembly, the first detection assembly is supported by hardware of the magnetic leakage detection unit, a specific work flow of the magnetic leakage detection unit is to collect magnetic leakage signals, filter the magnetic leakage signals, connect the filtered magnetic leakage signals, extract characteristics of the connected magnetic leakage signals, generate corresponding amplitude angles, confirm the types of internal defects and the sizes of the defects based on the amplitude angles, and the process is finished by each module of the magnetic leakage detection unit; the acquisition process of the magnetic leakage signal is completed by the magnetic leakage sensor 2, and it is conceivable that the sensitivity of the magnetic leakage sensor 2 is very high, and then the interference signal of the magnetic flux leakage acquired by the magnetic leakage sensor 2 is removed by using a wavelet denoising method; the signal fusion process is to carry out multi-directional fusion on the magnetic leakage signals after the multiple sensors are denoised, belongs to a data processing process and is a common data processing technology; the feature extraction is to extract features of the fused signals, namely a series of data, by machine learning to obtain defect types and defect amount sizes corresponding to the amplitude angles.
The magnetic leakage detection unit 101 specifically includes:
the acquisition module is used for acquiring magnetic leakage signals and filtering the magnetic leakage signals;
each pair of the magnetic leakage detectors includes 14 magnetic leakage sensors 2, and the 14 magnetic leakage sensors 2 are mounted on the mounting device as shown in fig. 4, where a real magnetic leakage signal and a noise signal exist in the acquired magnetic leakage sensor 2 signal, and the signal of the magnetic leakage sensor 2 is f (t) ═ s (t) + e (t), where s (t) is the real magnetic leakage signal and e (t) is noise. Selecting proper wavelet packet
Using the formula:
wavelet transform of the noise signal is obtained, and the wavelet coefficient of the noise signal is reduced. And then the magnetic leakage signal in the actual measurement of the sensor is the sum of the real magnetic leakage signal and the noise, so that the method comprises the following steps:
WT(a，b)＝WTs(a，b)+WTe(a，b)
therefore, a real magnetic leakage signal is obtained by using a wavelet denoising method.
The fusion module is used for connecting the filtered magnetic flux leakage signals;
fusing the magnetic leakage signals after denoising, constructing a signal base circle according to the placement position of the magnetic leakage sensor 2, dividing the signal base circle into 16 regions according to the 22.5-degree interval as shown in fig. 5, wherein the signal of each sensor corresponds to an angle, and no signal vector exists on the X axis. The 14 sensor signals acquired each time are respectively corresponding to the respective angles, so that 14 signal vectors with amplitudes and angles are obtained
The 14 signal vectors are vector-summed to obtain a fused vector, i.e.
The processing execution module is used for extracting the characteristics of the connected magnetic leakage signals, generating corresponding amplitude angles and confirming the internal defect types and the defect amount based on the amplitude angles;
and (3) constructing an RBF neural network by taking the angle and the amplitude of the fusion vector as input vectors and taking the type and the amount of the internal defect of the cladding belt as output vectors, wherein the hidden node of the RBF neural network is 14. Training a large amount of defect data, extracting a relation model fusing vector angles and amplitudes and corresponding defect types and defect amounts, and taking the model as an identification model of the internal defects of the cladding belt.
The visual detection unit 102 is used for generating a cladding belt surface defect signal;
the visual inspection unit 102 specifically includes:
the visual detection unit is installed on a second detection assembly, the second detection assembly is supported by hardware of the visual detection unit, and the specific working process of the visual detection unit is that under the condition of an active light source, a camera 5 is adopted to collect image signals, then a target positioning algorithm is utilized to carry out defect image positioning and store position information of defects on images, finally rectangular frame images which are possibly defects are intercepted, and a classification model is utilized to identify the intercepted defect area images to obtain classification results.
The image acquisition module is used for acquiring an image signal;
the hardware support of the image capturing module is the light source device 44 and the camera 55, and of course, the light source device 44 or the camera 55 may be further limited, that is, a CCD camera is used to capture the surface image of the cladding strip, and an LED lamp is used as a supplementary light source.
The image positioning module is used for positioning the defect points based on the image signals and generating defect areas;
the specific working flow of the image positioning module comprises the steps of firstly converting an image into a gray map, taking each steel belt area as independent segmentation, solving a gradient binarization image by using a Canny operator, and obtaining and intercepting an optimal defect contour by adopting a non-maximum suppression method.
The defect classification module is used for identifying the defect area and confirming the surface defect type based on the identification result;
constructing a classification model by using CNN, inputting 64 × 1, using 6 convolution kernels of 5 × 1 as a first layer of convolution, using 1 sliding step and 0 filling to obtain a characteristic image of 60 × 6, using 6 × 5 × 1+6 trainable parameters of 156, and using 2 convergence kernels for average convergence by using convergence layers; the second and third layers also adopt the same convolution kernel and convergence kernel, only the number of filters is different, and the activation functions all adopt Leaky ReLU functions; the fourth layer adopts a convolution kernel of 5 × 5 and outputs a characteristic diagram of 5 × 96; the fifth layer adopts a convolution kernel of 5 by 5 to map the characteristic fourth layer output characteristic graph into 96 characteristic graphs of 1 by 1; the number of the neurons of the hidden layer is 100, the output layer is composed of 12 radial basis functions, and the trainable parameters are (96+1) × 100 ═ 9700 and (100+1) × 12 ═ 1212 respectively.
A belt speed measuring unit 103 for measuring a moving speed of the wrapping belt;
the belt speed measuring unit is arranged on the speed measuring assembly, and is used for receiving and processing signals acquired by the speed sensor 10 in the speed measuring assembly to finally generate the movement speed of the cladding belt.
It should be noted that the speed sensor 10 can use laser to measure the speed, and then the belt speed measuring unit needs to perform AD conversion on the signal collected by the sensor, so that the measured signal becomes a digital signal.
The information integration unit 104 is used for integrating data acquired by the magnetic flux leakage detection unit, the visual detection unit and the belt speed measurement unit;
the information integration unit can be independently set and used for fusing data acquired by the magnetic flux leakage detection unit, the visual detection unit and the belt speed measurement unit, and is also a data processing unit, and finally calculated core data is the execution marking type and the execution time point and is sent to the marking action execution unit.
The information integration unit 104 specifically includes;
the information reading module is used for reading the defect type and the defect amount confirmed by the magnetic flux leakage detection unit, reading the classification result obtained by the visual detection unit and reading the movement speed obtained by the belt speed measurement unit;
the information integration unit is used as an upper computer in the data processing process, which may be a monitoring process, for example, when the defect type and the defect amount confirmed by the magnetic flux leakage detection unit are large, the corresponding defect type and defect amount are directly obtained without permission of the magnetic flux leakage detection unit, which is the same as that of the visual detection unit or the belt speed measurement unit.
And the data fusion module is used for integrating the data and generating a defect report, wherein the defect report at least comprises an execution mark category and an execution time point.
The data fusion module is used for integrating data and then generating a report, the purpose of generating the report is to facilitate the management of a plurality of data, the report is the simplest, the report can be an excel form, and then the degree design process can be greatly simplified by means of the operation of the excel form.
And a marking action execution unit 105, configured to generate a marking instruction based on the data merged by the information integration unit.
The marking action execution unit is arranged on the marking component, is essentially a module with an input/output function and is used for receiving the data calculated by the information integration unit and generating a marking instruction based on the data calculated by the information integration unit;
receiving a report sent by an information integration module, reading the execution mark type and the corresponding execution time point, adopting different mark signals corresponding to different defects, wherein the mark time of the internal defect signal of the cladding belt is 0.2 second, and the mark time of the external defect signal is 0.5 second; and changing the preset value of the timer according to the execution time signal transmitted by the information integration unit, so that when the timer overflows, the marking roller 6 executes the marking task under the driving of the linear motor 7.
The marking action executing unit 105 specifically includes:
the report reading module is used for receiving the defect report and reading the execution mark type and the corresponding execution time point based on the defect report;
the core of the report reading module is about the specific operation of the table, if the report reading module is an excel table, the report reading module is a special excel table processing module, when a program is designed, the target is clear, and the used data structure is fixed;
the instruction generating module is used for generating a marking instruction based on the defect position;
the essence of the command generation module is a data conversion module which converts the data extracted from the table into control signals, ultimately controlling the linear motor 7.
The functions which can be realized by the elevator belt defect online detection and marking system are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the elevator belt defect online detection and marking system.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the berth-status display system, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, 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 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. The utility model provides an elevator cladding area defect on-line measuring and mark device which characterized in that, mark device specifically includes:
the shell is used for bearing the first detection assembly, the second detection assembly, the speed measurement assembly and the marking assembly; switch magnetic seats are arranged on two sides of the shell;
the first detection assembly is used for collecting a magnetic leakage signal and confirming the internal defect of the cladding belt based on the magnetic leakage signal;
the second detection assembly is used for acquiring an image signal and confirming the surface defect of the cladding belt based on the image signal;
the speed measuring component is used for acquiring the movement speed of the cladding belt; and
and the marking assembly is used for marking the defects of the cladding belt.
2. The elevator cladding belt defect online detection and marking device of claim 1, wherein the first detection assembly specifically comprises:
at least one sensor group frame and a magnetic leakage sensor; and
and the telescopic rod mechanism is connected with the sensor group frame, and one side of the telescopic rod mechanism, which is far away from the sensor group frame, is connected with the shell.
3. The elevator cladding belt defect on-line detecting and marking device of claim 1, wherein the second detecting component specifically comprises:
a light source device mounted on the housing; and
the cameras are symmetrically arranged on two sides of the light source equipment.
4. The elevator cladding belt defect online detection and marking device of claim 1, wherein the marking assembly specifically comprises:
a roller frame;
a marking roller wheel mounted on the roller frame; and
and the linear motor is connected with the shell and is used for driving the roller frame to move up and down.
5. An elevator cladding belt defect on-line detecting and marking system is applied to the device and specifically comprises:
the magnetic flux leakage detection unit is used for generating a cladding belt internal defect signal;
the visual detection unit is used for generating a cladding belt surface defect signal;
a belt speed measuring unit for measuring a moving speed of the wrapping belt;
the information integration unit is used for fusing data acquired by the magnetic flux leakage detection unit, the visual detection unit and the belt speed measurement unit;
and the marking action execution unit is used for generating a marking instruction based on the data fused by the information integration unit.
6. The elevator cladding belt defect on-line detecting and marking system of claim 5, wherein the magnetic flux leakage detecting unit specifically comprises:
the acquisition module is used for acquiring magnetic leakage signals and filtering the magnetic leakage signals;
the fusion module is used for connecting the filtered magnetic flux leakage signals;
and the processing execution module is used for extracting the characteristics of the connected magnetic leakage signals, generating corresponding amplitude angles and confirming the internal defect types and the defect amount based on the amplitude angles.
7. The elevator cladding belt defect on-line detecting and marking system of claim 6, wherein the visual detection unit specifically comprises:
the image acquisition module is used for acquiring an image signal;
the image positioning module is used for positioning the defect points based on the image signals and generating defect areas;
and the defect classification module is used for identifying the defect area and confirming the surface defect type based on the identification result.
8. The system for detecting and marking defects of an elevator belt as claimed in claim 7, wherein the information integration unit comprises;
the information reading module is used for reading the defect type and the defect amount confirmed by the magnetic flux leakage detection unit, reading the classification result obtained by the visual detection unit and reading the movement speed obtained by the belt speed measurement unit;
and the data fusion module is used for integrating the data and generating a defect report, wherein the report at least comprises an execution marking category and an execution time point.
9. The elevator cladding belt defect online detection and marking system of claim 8, wherein the marking action execution unit specifically comprises:
the report reading module is used for receiving the defect report and reading the execution mark type and the corresponding execution time point based on the defect report;
and the instruction generating module is used for generating a marking instruction based on the defect position.
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