A defect detection device and a defect detection method for a drawn steel strip
By using multimodal detection devices and algorithm fusion technology, the problems of accuracy and comprehensiveness in traction steel belt detection have been solved, enabling efficient and accurate detection of damage to traction steel belts and improving elevator safety and detection efficiency.
Patent Information
- Application Number
- CN202510401315.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-01
- Publication Date
- 2025-12-16
- Estimated Expiration
- 2045-04-01
AI Technical Summary
Existing methods for inspecting traction steel belts are insufficient to comprehensively and accurately assess their health status, failing to meet the demands of modern elevators for efficient and safe inspections, especially in detecting deep defects and composite material structures.
A multimodal detection device combining visual inspection, magnetic flux leakage detection, and eddy current detection is adopted. The magnetic field excitation module and the detection module are time-division multiplexed and switched. The defect feature fusion analysis is performed by combining deep learning algorithms, and the excitation current and excitation frequency are dynamically adjusted to eliminate magnetic field interference.
It enables comprehensive and accurate detection of both visible and hidden damage to traction steel strips, improving detection efficiency and accuracy, reducing the false negative rate, and enhancing the comprehensiveness and applicability of the detection.
Smart Images

Figure CN120084870B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of elevator operation status detection and maintenance technology, and more specifically, to a defect detection device and defect detection method for traction steel belts. Background Technology
[0002] As a new type of load-bearing transmission component in elevators, the reliability and safety of traction steel belts are directly related to the normal operation of elevators and the safety of personnel. Therefore, damage detection of traction steel belts is an urgent need to ensure elevator safety and promote the development of the elevator industry.
[0003] Currently, the methods for inspecting traction steel strips are relatively limited, mainly including visual inspection, magnetic flux leakage (MF) testing, and eddy current testing. Visual inspection relies on worker experience and can only identify visible defects on the steel strip surface, resulting in low recognition rates and poor efficiency, making it difficult to detect hidden damage. MF testing assesses damage by detecting the magnetic flux leakage signal after energization, but it often uses a single-sided permanent magnet excitation method, resulting in a fixed magnetic field strength and difficulty in effectively detecting deep defects. Eddy current testing relies on high-frequency alternating magnetic fields to induce eddy currents to identify surface and near-surface defects, but it is limited by the skin effect, has weak detection capabilities for deep defects, and is susceptible to material inhomogeneity in the inspection of composite material steel strips, leading to a high false detection rate. Furthermore, vibration, slippage, and other factors during the inspection process can cause noise interference, affecting the accuracy of the inspection.
[0004] In summary, these methods each have their limitations, making it difficult to comprehensively and accurately assess the health condition of the steel strip, and thus failing to meet the demands of modern elevators for efficient and safe testing. Summary of the Invention
[0005] In view of the above-mentioned technical problems, this application proposes a defect detection device and defect detection method for traction steel belts, aiming to comprehensively, accurately and efficiently detect explicit and implicit damage to traction steel belts, improve detection efficiency and accuracy, and thus promote the development of the modern elevator industry.
[0006] First, this application proposes a defect detection device for traction steel strips, comprising:
[0007] A frame assembly includes an upper frame and a lower frame disposed opposite each other, with a receiving space between the upper frame and the lower frame for accommodating a traction steel strip;
[0008] A guide wheel assembly is disposed on at least one of the upper frame and the lower frame, the guide wheel assembly being used to guide the traction steel belt to move relative to the frame assembly;
[0009] A vision inspection module is mounted on the frame assembly, and the vision inspection module is used to perform visual recognition and inspection on the traction steel belt;
[0010] Two magnetic field excitation modules are arranged opposite to each other, and the two magnetic field excitation modules are respectively arranged on the upper frame and the lower frame. The magnetic field excitation modules are used to generate a magnetic field in the accommodating space.
[0011] Two magnetic field detection modules are arranged opposite each other, with the two magnetic field detection modules respectively located on the upper frame and the lower frame. The magnetic field detection modules are used to detect magnetic field signals.
[0012] In some embodiments, the device further includes an encoder assembly disposed on the rack assembly, the encoder assembly being disposed near the outlet end of the rack assembly.
[0013] In some embodiments, the encoder component includes:
[0014] The first bracket is disposed on the upper frame;
[0015] An encoder roller is rotatably connected to the first bracket, and the encoder roller is configured to rotate relative to the first bracket under the drive of the traction steel belt;
[0016] An incremental encoder is connected to the first bracket and located on one side of the encoder roller.
[0017] In some embodiments, the guide wheel assembly includes:
[0018] The first guide wheel assembly includes two first guide wheels spaced apart on the upper frame, with the two first guide wheels located at the inlet end and outlet end of the frame assembly, respectively.
[0019] The second guide wheel group is arranged opposite to the first guide wheel group. The second guide wheel group includes two second guide wheels spaced apart on the lower frame. The two second guide wheels are located at the inlet end and the outlet end of the frame assembly, respectively.
[0020] In some embodiments, the vision inspection module includes an industrial camera and a second bracket, the second bracket being connected to the rack assembly and the industrial camera being mounted on the second bracket; and the vision inspection module is positioned near the inlet end of the rack assembly.
[0021] In some embodiments, two vision detection modules are provided, which are arranged opposite to each other and respectively located on the upper rack and the lower rack.
[0022] In some embodiments, the magnetic field excitation module includes a U-shaped high-frequency low-loss ferrite and winding coils disposed on both sides of the U-shaped high-frequency low-loss ferrite.
[0023] In some embodiments, the magnetic field detection module includes a third bracket and a Hall sensor array acquisition board, the third bracket being connected to the rack assembly, and the Hall sensor array acquisition board being detachably connected to the third bracket.
[0024] Secondly, this application also proposes a defect detection method for traction steel belts, which is applied to the defect detection device of any of the above embodiments, and the method includes the following steps:
[0025] The traction steel belt is subjected to leakage magnetic field detection and eddy current detection through the visual detection module, the magnetic field excitation module, the magnetic field detection module and the encoder assembly, and the leakage magnetic field signal, eddy current signal, position information and image information of the traction steel belt are collected.
[0026] An MCU is used to preprocess and control the leakage magnetic field signal, the eddy current signal, the position information and the image information, and a MOSFET switching circuit is used to realize the time-division multiplexing switching between the leakage magnetic field detection DC excitation mode and the eddy current detection AC high-frequency excitation mode.
[0027] The processed data is uploaded to the host computer via wireless communication, and defect feature fusion analysis is performed using deep learning algorithms, pattern recognition algorithms, or support vector machines.
[0028] The excitation current, excitation frequency, and data acquisition rate are dynamically adjusted based on the detection status, and the residual magnetic field interference is eliminated through a demagnetization module controlled by closed-loop feedback.
[0029] In some implementations, the time-division multiplexing switching of leakage flux detection DC excitation mode and eddy current detection AC high-frequency excitation mode via MOSFET switching circuit includes: switching the excitation mode via MOSFET switching circuit combined with diode.
[0030] In some implementations, the eddy current detection uses a DDS signal source to generate a high-frequency excitation signal, which drives the detection coil via a power amplifier, and the signal quality is optimized using an RC filter.
[0031] In some implementations, the magnetic flux leakage detection is powered by an adjustable DC power supply, and its sensitivity is enhanced by a signal amplifier.
[0032] In some implementations, the demagnetizing module uses an MCU to control an H-bridge circuit for PWM modulation, combines this with a DAC to generate a damped oscillation signal, and uses a Hall sensor to monitor the residual magnetic field in real time to form a closed-loop control.
[0033] In some implementations, the preprocessing of the eddy current signal includes: bandpass filtering, phase-sensitive demodulation, RMS conversion, and ADC sampling.
[0034] In some implementations, the preprocessing of the leakage magnetic signal includes low-pass filtering and ADC sampling.
[0035] The defect detection device for traction steel belt according to an embodiment of this application includes a frame assembly, a guide wheel assembly, a vision inspection module, two magnetic field excitation modules and two magnetic field detection modules arranged opposite to each other. The frame assembly includes an upper frame and a lower frame arranged opposite to each other, with a receiving space between the upper and lower frames for accommodating the traction steel belt. The guide wheel assembly is disposed on at least one of the upper and lower frames and is used to guide the traction steel belt to move relative to the frame assembly. The vision inspection module is disposed on the frame assembly and is used to perform visual recognition detection on the traction steel belt. The two magnetic field excitation modules are respectively disposed on the upper and lower frames and are used to generate a magnetic field within the receiving space. The two magnetic field detection modules are respectively disposed on the upper and lower frames and are used to detect magnetic field signals. Therefore, the defect detection device for traction steel belts in this application embodiment can fully utilize the deep damage identification capability of magnetic flux leakage detection, the surface damage detection advantage of eddy current detection, and the intuitive identification capability of visual inspection for external wear, cracks, and other defects. This enables comprehensive detection of internal and external damage to the traction steel belt, improving detection accuracy and applicability, and effectively compensating for the shortcomings of single detection methods. Furthermore, by setting up two opposing magnetic field excitation modules and two magnetic field detection modules, this application embodiment can effectively enhance the uniformity of the magnetic field distribution, improve the comprehensiveness of defect detection, and greatly reduce the possibility of missed detections. Attached Figure Description
[0036] The accompanying drawings are provided to further understand this application and form part of the specification. They are used together with the following detailed description to explain this application, but do not constitute a limitation thereof.
[0037] Figure 1 This is a schematic diagram of the defect detection device according to an embodiment of this application;
[0038] Figure 2 This is an exploded view of the defect detection device according to an embodiment of this application;
[0039] Figure 3 This is a perspective view of the defect detection device according to an embodiment of this application;
[0040] Figure 4 A schematic diagram of a magnetic field detection module of one specification configured for the defect detection device according to an embodiment of this application;
[0041] Figure 5 A schematic diagram of a magnetic field detection module of another specification configured for the defect detection device of this application embodiment.
[0042] The accompanying drawings may not be drawn to scale.
[0043] Figure label:
[0044] 1-Rack assembly; 11-Upper rack; 12-Lower rack;
[0045] 2-Guide wheel assembly; 21-First guide wheel; 22-Second guide wheel;
[0046] 3-Vision inspection module; 31-Industrial camera; 32-Second bracket;
[0047] 4-Magnetic field excitation module; 41-U-shaped high-frequency low-loss ferrite; 42-Winding coil;
[0048] 5-Magnetic field detection module; 51-Third bracket; 52-Hall sensor array acquisition board; 53-Screw; 54-Screw;
[0049] 6-Encoder assembly; 61-First support; 62-Encoder roller; 63-Incremental encoder;
[0050] 7-Traction steel belt; 8-Snap fastener; 9-Hinge; 10-Roller bearing limit wheel. Detailed Implementation
[0051] The specific embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this application.
[0052] In this application, unless otherwise stated, directional terms such as "inner" and "outer" refer to the inner and outer contours of each component. The X direction can correspond to the left-right direction, the Y direction to the front-back direction, and the Z direction to the up-down direction, i.e., the direction of gravity of the refrigerator. The terms "first," "second," etc., are used to distinguish one element from another and do not indicate sequence or importance. Furthermore, in the following description, when referring to the accompanying drawings, the same reference numerals in different drawings denote the same or similar elements, which will not be elaborated upon in this application.
[0053] like Figures 1 to 5As shown, this application proposes a defect detection device for a traction steel belt 7, which includes a frame assembly 1, a guide wheel assembly 2, a vision inspection module 3, a magnetic field excitation module 4, and a magnetic field detection module 5. The frame assembly 1 includes an upper frame 11 and a lower frame 12 arranged opposite to each other, with a receiving space between the upper frame 11 and the lower frame 12 for accommodating the traction steel belt 7. The guide wheel assembly 2 is disposed on at least one of the upper frame 11 and the lower frame 12, and is used to guide the traction steel belt 7 to move relative to the frame assembly 1. The vision inspection module 3 is disposed on the frame assembly 1 and is used to perform visual recognition detection on the traction steel belt 7. Two magnetic field excitation modules 4 are provided, arranged opposite to each other and respectively disposed on the upper frame 11 and the lower frame 12, and are used to generate a magnetic field within the receiving space. Similarly, two magnetic field detection modules 5 are also provided, respectively disposed on the upper frame 11 and the lower frame 12, and are used to detect magnetic field signals.
[0054] The frame assembly 1 serves as the main support for the defect detection device, comprising an upper frame 11 and a lower frame 12. The upper frame 11 and lower frame 12 can be connected in various ways, including detachable and non-detachable connections. For example, in this embodiment, the upper frame 11 and lower frame 12 can be detachably connected, such as using clips 8 and hinges 9. This facilitates the complete disassembly of the frame assembly 1, enabling subsequent maintenance and parts replacement of the defect detection device.
[0055] The guide wheel assembly 2 is disposed on at least one of the upper frame 11 and the lower frame 12. That is, the guide wheel assembly 2 can be disposed on the upper frame 11, or on the lower frame 12, or both the upper frame 11 and the lower frame 12 can be provided with the guide wheel assembly 2.
[0056] The guide wheel assembly 2 is used to guide the traction steel belt 7 so that the traction steel belt 7 moves relative to the frame assembly 1. In some embodiments, the guide wheel assembly 2 may be connected to a drive device, which drives the guide wheel assembly 2 to rotate via a transmission system, thereby guiding the movement of the traction steel belt 7. Exemplarily, the drive device may be a motor.
[0057] The guide wheel assembly 2 can be made of various materials, such as non-magnetic materials or composite materials. For example, in this application, the guide wheel assembly 2 can be made of high-strength engineering plastics, such as polyoxymethylene (POM), nylon, etc., or non-magnetic metals, such as aluminum, stainless steel, etc.
[0058] In some embodiments, the guide wheel assembly 2 includes a first guide wheel group 21 and a second guide wheel group 22. The first guide wheel group 21 includes two first guide wheels 21 spaced apart on the upper frame 11, with the two first guide wheels 21 located at the inlet end and the outlet end of the frame assembly 1, respectively. The second guide wheel group 22 is arranged opposite to the first guide wheel group 21, and includes two second guide wheels 22 spaced apart on the lower frame 12, with the two second guide wheels 22 located at the inlet end and the outlet end of the frame assembly 1, respectively.
[0059] It is understood that the inlet end of the rack assembly 1 refers to the end where the traction steel belt 7 enters the rack assembly 1, and the outlet end of the rack assembly 1 refers to the end where the traction steel belt 7 leaves the rack assembly 1. For example, in... Figure 1 and Figure 2 In this context, the inlet end should refer to the left end of rack assembly 1, and the outlet end should refer to the right end of rack assembly 1.
[0060] At the inlet and outlet ends of the frame assembly 1, there is a first guide wheel 21 and a second guide wheel 22 respectively arranged opposite to each other. The traction steel belt 7 is located between the first guide wheel 21 and the second guide wheel 22, which helps to form a stable traction on the traction steel belt 7, reduces the probability of the traction steel belt 7 deviating and vibrating, and improves the stability of the detection process.
[0061] In some embodiments, the defect detection device may further include a limiting mechanism disposed on the frame assembly 1. The limiting mechanism can limit the traction steel belt 7 in its width direction to further prevent the traction steel belt 7 from vibrating and slipping, thereby improving the stability and detection accuracy during the detection process. For example, in this application, the limiting mechanism may include at least four roller bearing limiting wheels 10, which can limit and guide the traction steel belt 7 and minimize friction.
[0062] The vision inspection module 3 is installed on the frame assembly 1. The vision inspection module 3 can visually identify the visible external damage of the traction steel belt 7. The vision inspection module 3 may include a camera, industrial camera, etc.
[0063] In some embodiments, the vision inspection module 3 may include an industrial camera 31 and a second bracket 32, the second bracket 32 being connected to the frame assembly 1 and the industrial camera 31 being mounted on the second bracket 32.
[0064] The second bracket 32 is connected to the frame assembly 1, and the connection method can be either a fixed connection or a detachable connection, which is not limited in this application. Similarly, the industrial camera 31 is mounted on the second bracket 32, and the mounting method can also be a fixed connection or a detachable connection.
[0065] Furthermore, the vision inspection module 3 can be positioned close to the inlet end of the frame assembly 1. For example, during inspection, vision inspection can prioritize the identification of surface damage to the traction steel belt 7, such as cracks, peeling, and wear, facilitating the removal of obvious defects and preventing severely damaged traction steel belts 7 from entering subsequent inspection stages. This reduces interference from complex signals and improves overall inspection accuracy. In addition, vision inspection is faster, quickly identifying potentially problematic portions of the traction steel belt 7, allowing subsequent inspection stages to focus on defective areas, reducing unnecessary data processing and improving overall inspection efficiency.
[0066] In some embodiments, two vision inspection modules 3 may be configured, with the two vision inspection modules 3 arranged opposite each other and respectively located on the upper frame 11 and the lower frame 12. Having two vision inspection modules 3 facilitates visual recognition and inspection of both sides of the traction steel belt 7, effectively expanding the inspection range and improving the accuracy of the inspection.
[0067] In some embodiments, the magnetic field excitation module 4 may include a U-shaped high-frequency low-loss ferrite 41 and winding coils 42 disposed on both sides of the U-shaped high-frequency low-loss ferrite 41. In leakage magnetic field detection mode, a direct current is applied to the winding coils 42, forming a strong closed magnetic circuit through the U-shaped high-frequency low-loss ferrite 41, effectively improving the magnetization efficiency and leakage magnetic field strength of the steel strip. In eddy current detection mode, a high-frequency AC excitation signal is applied to the winding coils 42, utilizing the low-loss characteristics of the U-shaped high-frequency low-loss ferrite 41 to constrain the alternating magnetic field distribution, enhancing eddy current density and suppressing energy dissipation. The magnetic field excitation module 4 of the embodiments of the application can provide dual-mode magnetic field detection requirements, improving the diversity and flexibility of detection. For example, in this application, the U-shaped high-frequency low-loss ferrite 41 may be a PC95.
[0068] In some embodiments, the magnetic field detection module 5 includes a third bracket 51 and a Hall sensor array acquisition board 52. The third bracket 51 is connected to the rack assembly 1, and the Hall sensor array acquisition board 52 is detachably connected to the third bracket 51.
[0069] The third bracket 51 can be fixedly connected to the frame assembly 1 or it can be detachably connected; this application does not impose any restrictions on this.
[0070] The Hall sensor array acquisition board 52 can monitor and acquire magnetic field strength and distribution data at multiple locations in real time. Through multi-channel synchronous processing, it achieves high-precision magnetic field measurement, thereby enabling circumferential positioning of defects in the traction steel belt 7. The Hall sensor array acquisition board 52 is detachably connected to the third bracket 51, allowing for easy adaptation to different specifications of Hall sensor array acquisition boards 52 based on the width of the traction steel belt 7, thus enhancing the monitoring and acquisition capabilities of the magnetic field signal. For example, Figure 4and Figure 5 The numbers in the middle represent 60mm and 30mm specifications, respectively.
[0071] As a specific example, the third bracket 51 can be fixed to the frame assembly 1 with screws 53, and the Hall sensor array acquisition board 52 can be fixed to the third bracket 51 with screws 54.
[0072] In some embodiments, the defect detection device may further include an encoder assembly 6 disposed on the frame assembly 1, with the encoder assembly 6 positioned near the outlet end of the frame assembly 1. The encoder assembly 6 facilitates real-time detection of the movement position, speed, and direction of the traction steel belt 7, thereby enabling axial positioning of the defect location and achieving high-precision positioning and tracking of the defect location.
[0073] In some embodiments, the encoder assembly 6 includes a first bracket 61, an encoder roller 62, and an incremental encoder 63. The first bracket 61 is disposed on the upper frame 11. The encoder roller 62 is rotatably connected to the first bracket 61 and is configured to rotate relative to the first bracket 61 under the drive of the traction steel belt 7. The incremental encoder 63 is connected to the first bracket 61 and is located on one side of the encoder roller 62.
[0074] The first bracket 61 and the upper frame 11 can be connected by a thread to facilitate the disassembly of the encoder assembly 6 from the frame assembly 1, thereby adjusting the position of the encoder assembly 6. The encoder roller 62 is rotatably connected to the first bracket 61, and the rotatable connection can take various forms, such as a shaft connection. The incremental encoder 63 is used for precise positioning and monitoring of defect locations.
[0075] Therefore, the defect detection device for traction steel belts in this application embodiment can provide defect detection functions in multiple modes. By integrating multi-modal detection methods, it can not only make full use of the deep damage identification capability of magnetic flux leakage detection, but also take advantage of the surface damage detection capability of eddy current detection, as well as the intuitive identification capability of visual inspection for external wear, cracks and other defects. This achieves comprehensive detection of internal and external damage of traction steel belts, significantly improves detection accuracy and applicability, and effectively makes up for the shortcomings of single detection methods.
[0076] Secondly, this application also proposes a defect detection method, which is applied to the defect detection device of any of the above embodiments. The defect detection device includes an encoder assembly, and the method includes the following steps:
[0077] Step 1: The traction steel belt is subjected to visual inspection, magnetic field excitation, magnetic field detection and encoder assembly through visual inspection module, magnetic field excitation module, magnetic field detection module and encoder assembly, and the image information, magnetic field leakage signal, eddy current signal and position information of traction steel belt are collected;
[0078] Step 2: A microcontroller unit (MCU) is used to preprocess and control the leakage magnetic field signal, eddy current signal, position information and image information, and a time-division multiplexing switching between the leakage magnetic field detection DC excitation mode and the eddy current detection AC high-frequency excitation mode is realized through a MOSFET switching circuit.
[0079] Step 3: Upload the processed data to the host computer via wireless communication, and perform defect feature fusion analysis using deep learning algorithms, pattern recognition algorithms, or support vector machines;
[0080] Step 4: Dynamically adjust the excitation current, excitation frequency, and data acquisition rate based on the detection status, and eliminate residual magnetic field interference through a demagnetization module controlled by closed-loop feedback.
[0081] Understandably, the MCU, as the core controller, is responsible for sensor data acquisition, signal mode switching, demagnetization control, and wireless communication management. After processing by the MCU, various data can be transmitted to a host computer via a wireless LAN. The host computer then uses deep learning algorithms, pattern recognition algorithms, or Support Vector Machines (SVM) to determine defects and displays the detection results on a visual interface. Furthermore, the MCU can adaptively adjust the excitation current, excitation frequency, and data acquisition rate based on the detection status to optimize detection performance and reduce power consumption.
[0082] In this method, eddy current testing is suitable for detecting defects in conductive materials on and near the surface, while magnetic flux leakage testing is suitable for detecting defects in deep ferromagnetic materials. Combining the two testing methods can effectively improve the comprehensiveness and accuracy of detecting internal and external defects in traction steel strips.
[0083] In some embodiments, the time-division multiplexing switching between leakage flux detection DC excitation mode and eddy current detection AC high-frequency excitation mode is achieved by using a MOSFET switching circuit. This may include: using a MOSFET switching circuit combined with a diode to achieve excitation mode switching, which can effectively avoid signal interference during mode switching.
[0084] In some embodiments, eddy current detection can use a Direct Digital Synthesis (DDS) signal source to generate a high-frequency excitation signal, which drives the detection coil through a power amplifier, and the signal quality is optimized through an RC filter.
[0085] In some embodiments, the magnetic flux leakage detection can be powered by an adjustable DC power supply, and the sensitivity can be enhanced by a signal amplifier.
[0086] In some embodiments, the demagnetizing module can use an MCU to control an H-bridge circuit to perform PWM (Pulse Width Modulation) modulation, combine it with a digital-to-analog converter (DAC) to generate a damped oscillation signal, and use a Hall sensor to monitor the residual magnetic field in real time to form a closed-loop control.
[0087] In some embodiments, preprocessing of eddy current signals may include: bandpass filtering, phase-sensitive demodulation, RMS (Root Mean Square) transformation, and ADC (Analog-to-Digital Converter Sampling).
[0088] In some embodiments, the preprocessing of the leakage magnetic signal may include low-pass filtering and ADC sampling.
[0089] In the above detailed description, reference has been made to the accompanying drawings, which illustrate, by way of illustration, specific aspects of this disclosure that may be practiced. Since components of the described device can be positioned in a number of different orientations, directional terms are used for illustrative purposes and not for limitation. It should be understood that other aspects may be utilized and structural or logical changes may be made without departing from the concept of this disclosure. Therefore, the following detailed description should not be considered limiting.
[0090] It should be understood that, unless otherwise specifically indicated, features of various embodiments of this disclosure described herein can be combined with each other. As used herein, the term “and / or” includes any one of the relevant listed items and any combination of any two or more; similarly, “at least one of…” includes any one of the relevant listed items and any combination of any two or more.
[0091] It should be understood that, unless otherwise expressly specified and limited, the terms "joining," "attaching," "installing," "connecting," "linking," "fixing," etc., used in the embodiments of this disclosure should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms herein based on the specific circumstances.
[0092] Furthermore, the term "above" as used herein with respect to components, elements, or material layers formed or located "above" a surface may be used to indicate that the component, element, or material layer is "indirectly" positioned (e.g., placed, formed, deposited, etc.) on the surface such that one or more additional components, elements, or layers are arranged between the surface and the component, element, or material layer. However, the term "above" as used with respect to components, elements, or material layers formed or located "above" a surface may also optionally have a specific meaning: that the component, element, or material layer is "directly" positioned (e.g., placed, formed, deposited, etc.) on the surface, for example, in direct contact with the surface.
[0093] Although terms such as “first,” “second,” and “third” may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. Rather, these terms are used only to distinguish one component, part, region, layer, or section from another. Therefore, without departing from the teachings of the examples described herein, the first component, part, region, layer, or section mentioned in the examples may also be referred to as the second component, part, region, layer, or section. Furthermore, the terms “first” and “second” are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as “first” or “second” may explicitly or implicitly include at least one of that feature. In the description herein, “a plurality” means at least two, such as two, three, etc., unless otherwise explicitly specified.
[0094] It should be understood that spatial relative terms, such as “above,” “upper,” “below,” and “lower,” are used herein to describe the relationship between one element and another shown in the figures. In addition to the orientation depicted in the figures, these spatial relative terms are also intended to encompass different orientations of the device in use or operation. For example, if the device in the figures is flipped, an element described as “above” or “upper” relative to another element would be “below” or “lower” relative to that other element. Thus, depending on the spatial orientation of the device, the term “above” encompasses both above and below orientations. Devices may have other orientations (e.g., rotated 90 degrees or in other orientations), and the spatial relative terms used herein should be interpreted accordingly.
[0095] Furthermore, the term “exemplary” is used herein to mean serving as an example, instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as advantageous compared to other aspects or designs. Rather, the use of the term “exemplary” is intended to present the concept in a concrete manner. As used herein, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless otherwise specified or clear from the context, “X applies A or B” is intended to mean any of the natural inclusive arrangements. That is, “X applies A or B” satisfies any of the foregoing instances if X applies A; X applies B; or both X applies A and B. Additionally, unless otherwise specified or clear from the context to refer to the singular form, the articles “a” and “an” as used in this application and the appended claims are generally understood to mean “one or more.”
[0096] Similarly, although this disclosure has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding the specification and drawings. This disclosure includes all such modifications and variations and is limited only by the scope of the claims. In particular, with respect to the various functions performed by the components described above (e.g., elements, resources, etc.), unless otherwise indicated, the terminology used to describe such components is intended to correspond to any component (functionally equivalent) that performs the specific function of the described component, even if structurally not equivalent to the disclosed structure. Furthermore, although specific features of this disclosure may have been disclosed with respect to only one of several implementations, such features may be combined with one or more other features of other implementations, as may be desired and advantageous to any given or particular application. Moreover, with regard to the terms “comprising,” “owning,” “having,” “having,” or variations thereof as used in the detailed description or claims, such terms are intended to be inclusive in a manner similar to the term “including.”
[0097] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.
[0098] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.
Claims
1. A defect detection device for traction steel strips, characterized in that, include: A frame assembly includes an upper frame and a lower frame disposed opposite each other, with a receiving space between the upper frame and the lower frame for accommodating a traction steel strip; A guide wheel assembly is disposed on at least one of the upper frame and the lower frame, the guide wheel assembly being used to guide the traction steel belt to move relative to the frame assembly; A vision inspection module is mounted on the frame assembly, and the vision inspection module is used to perform visual recognition and inspection on the traction steel belt; Two magnetic field excitation modules are arranged opposite to each other, and the two magnetic field excitation modules are respectively arranged on the upper frame and the lower frame. The magnetic field excitation modules are used to generate a magnetic field in the accommodating space. Two magnetic field detection modules are arranged opposite to each other, and the two magnetic field detection modules are respectively set on the upper frame and the lower frame. The magnetic field detection modules are used to detect magnetic field signals. The magnetic field excitation module includes a U-shaped high-frequency low-loss ferrite and winding coils disposed on both sides of the U-shaped high-frequency low-loss ferrite; the leakage flux detection DC excitation mode and the eddy current detection AC high-frequency excitation mode are time-division multiplexed switching is realized through a MOSFET switching circuit. The magnetic field detection module includes a third bracket and a Hall sensor array acquisition board. The third bracket is connected to the rack assembly, and the Hall sensor array acquisition board is detachably connected to the third bracket. The Hall sensor array acquisition board of different specifications can be adapted to the different widths of the traction steel belt.
2. The defect detection device for traction steel strips according to claim 1, characterized in that, The device further includes an encoder assembly disposed on the rack assembly, the encoder assembly being disposed near the outlet end of the rack assembly.
3. The defect detection device for traction steel strips according to claim 2, characterized in that, The encoder component includes: The first bracket is disposed on the upper frame; An encoder roller is rotatably connected to the first bracket, and the encoder roller is configured to rotate relative to the first bracket under the drive of the traction steel belt; An incremental encoder is connected to the first bracket and located on one side of the encoder roller.
4. The defect detection device for traction steel strip according to claim 1, characterized in that, The guide wheel assembly includes: The first guide wheel assembly includes two first guide wheels spaced apart on the upper frame, with the two first guide wheels located at the inlet end and outlet end of the frame assembly, respectively. The second guide wheel group is arranged opposite to the first guide wheel group. The second guide wheel group includes two second guide wheels spaced apart on the lower frame. The two second guide wheels are located at the inlet end and the outlet end of the frame assembly, respectively.
5. The defect detection device for traction steel strip according to claim 1, characterized in that, The vision inspection module includes an industrial camera and a second bracket, the second bracket being connected to the frame assembly, and the industrial camera being mounted on the second bracket; and The visual inspection module is located near the inlet end of the rack assembly.
6. The defect detection device for traction steel strip according to claim 5, characterized in that, The visual inspection module is configured as two, which are arranged opposite to each other and respectively located on the upper rack and the lower rack.
7. A method for defect detection of traction steel belts, applied to the defect detection device as described in any one of claims 1 to 6, wherein the defect detection device includes an encoder assembly, characterized in that, The method includes: The traction steel belt is visually inspected, magnetic flux leakage is detected, and eddy current is detected by the visual inspection module, the magnetic field excitation module, the magnetic field detection module, and the encoder assembly, and image information, magnetic flux leakage signal, eddy current signal and position information of the traction steel belt are collected. An MCU is used to preprocess and control the leakage magnetic field signal, the eddy current signal, the position information, and the image information. A MOSFET switching circuit is used to realize the time-division multiplexing switching between the leakage magnetic field detection DC excitation mode and the eddy current detection AC high-frequency excitation mode. The magnetic field excitation module includes a U-shaped high-frequency low-loss ferrite and winding coils disposed on both sides of the U-shaped high-frequency low-loss ferrite. The processed data is uploaded to the host computer via wireless communication, and defect feature fusion analysis is performed using deep learning algorithms, pattern recognition algorithms, or support vector machines. The excitation current, excitation frequency, and data acquisition rate are dynamically adjusted based on the detection status, and the residual magnetic field interference is eliminated through a demagnetization module controlled by closed-loop feedback.
8. The defect detection method for traction steel strips according to claim 7, characterized in that, The time-division multiplexing switching between leakage flux detection DC excitation mode and eddy current detection AC high-frequency excitation mode via MOSFET switching circuit includes: switching the excitation mode via MOSFET switching circuit combined with diode; or The eddy current detection uses a DDS signal source to generate a high-frequency excitation signal, which drives the detection coil through a power amplifier, and the signal quality is optimized using an RC filter; or The magnetic flux leakage detection is powered by an adjustable DC power supply, and its sensitivity is enhanced by a signal amplifier; or The demagnetizing module uses an MCU to control an H-bridge circuit for PWM modulation, combined with a DAC to generate a damped oscillation signal, and a Hall sensor to monitor the residual magnetic field in real time to form a closed-loop control; or The preprocessing of the eddy current signal includes: bandpass filtering, phase-sensitive demodulation, RMS conversion, and ADC sampling; or The preprocessing of the leakage magnetic signal includes low-pass filtering and ADC sampling.
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