Quality detection method and equipment for hob of shield tunneling machine

Abstract

The invention provides a quality detection method and equipment for a hob of a shield tunneling machine, and the method comprises the steps: obtaining an image at the cross section of the hob, and carrying out the preprocessing of the image; performing feature recognition on the image to obtain feature information on the hob; physical performance detection is conducted on the hob, physical data of the hob are obtained, and the physical data at least comprise stress values; and based on the feature information and the physical data, constructing quality report information of the hob, and sending and recording the quality report information to a background terminal. Therefore, according to the quality detection method and equipment for the shield tunneling machine hob, the hob production process can be comprehensively controlled, the quality stability of the hob is effectively improved, the production cost is reduced, and the tunneling efficiency is improved.

Description

Technical Field

[0001] The invention relates to the technical field of shield machine cutter wheels, and in particular to a quality detection method and equipment for shield machine cutter wheels. Background Art

[0002] In the field of tunnel and underground engineering, the cutters on the shield machine are responsible for directly crushing rocks and advancing excavation. Their quality directly affects the excavation efficiency, cutter wear rate and overall service life of the shield machine. In related technologies, the cutter production system often focuses on finished product inspection, while ignoring real-time monitoring and adjustment during the production process. It is difficult to effectively prevent quality problems in the production process, resulting in a high rate of defective products and increased production costs. It also affects the excavation efficiency of the shield machine and the service life of the cutter. In addition, due to the lack of in-depth mining and analysis of production data, it is difficult to accurately identify the bottleneck links in the production process, and it is therefore impossible to implement targeted improvement measures. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, a quality detection method for a shield machine roller cutter is provided in an embodiment of the present invention, which can realize comprehensive control of the roller cutter production process, effectively improve the quality stability of the roller cutter, reduce production costs, and improve tunneling efficiency.

[0004] In addition, the present invention also provides a shield machine cutter quality inspection device, which can execute the steps of the above-mentioned shield machine cutter quality inspection method.

[0005] The quality detection method of the shield machine cutter provided by the present invention comprises the following steps:

[0006] Acquire an image at a cross section of a hob, and pre-process the image;

[0007] Performing feature recognition on the image to obtain feature information on the hob;

[0008] Performing physical property testing on the hob to obtain physical data of the hob, wherein the physical data at least includes a stress value;

[0009] Based on the characteristic information and the physical data, quality report information of the hob is constructed, sent and recorded to the backend terminal.

[0010] In some embodiments, the step of acquiring an image at a cross section of the hob includes: acquiring an image of the hob in a forging stage to acquire a tissue image on the hob;

[0011] The step of performing feature recognition on the image to obtain feature information on the hob includes: performing feature recognition on the image to obtain the tissue features on the hob cutter ring.

[0012] In some embodiments, the step of performing physical property testing on the hob to obtain physical data of the hob includes: performing stress testing on the hob in the coating preparation stage to obtain residual stress values ​​on the cross section of the hob; and constructing a residual stress distribution diagram on the cross section of the hob based on the residual stress values.

[0013] In some embodiments, the physical data also includes a hardness value, and the quality inspection method for the shield machine cutter also includes the steps of: performing a hardness inspection on the cutter to obtain hardness data on the cross section of the cutter; and constructing a hardness distribution map on the cross section of the cutter based on the hardness data.

[0014] In some embodiments, the method further includes the steps of obtaining the amount of wear at different locations on the hob, constructing a graph showing the change in wear over time, and recording the graph in the quality report information.

[0015] In some embodiments, the method further includes the steps of: using a flaw detector to identify and locate a crack defect in the hob, and recording the crack defect in the quality report information;

[0016] And / or, it also includes the steps of: obtaining the roughness value of the hob surface, and recording the roughness value in the quality report information.

[0017] In some embodiments, after the step of constructing the quality report information of the hob and sending it to the backend terminal, the method further includes the steps of:

[0018] Based on the quality report information corresponding to each hob, a hob quality database is constructed.

[0019] In some embodiments, the step of preprocessing the image includes at least image enhancement processing and denoising processing.

[0020] The quality inspection equipment for the shield machine cutter provided by the present invention comprises an image acquisition module, a physical test module and a processing module, wherein the image acquisition module is used to obtain an image at a cross section of the cutter, preprocess the image, perform feature recognition on the preprocessed image, and obtain feature information on the cutter; the physical test module is used to perform physical property inspection on the cutter to obtain physical data of the cutter, wherein the physical data at least includes stress values; the processing module is used to construct quality report information of the cutter based on the feature information and the physical data, and send and record the information to a background terminal.

[0021] In some embodiments, the shield machine cutter quality inspection device further includes a hardness inspection module, and the hardness inspection module is used to perform hardness inspection on the cutter to obtain hardness data on the cross section of the cutter. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1It is a flow chart of a quality inspection method for a shield machine cutter provided in an embodiment of the present invention.

[0023] Figure 2 It is a schematic structural diagram of a quality inspection device for a shield machine cutter provided in an embodiment of the present invention.

[0024] Reference numerals:

[0025] 100. Quality inspection equipment for the cutter of a shield machine; 10. Image acquisition module; 20. Physical testing module; 30. Processing module; 40. Hardness inspection module. DETAILED DESCRIPTION

[0026] Embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0027] like Figure 1 As shown, an embodiment of the present invention provides a method for detecting the quality of a shield machine cutter, which comprises the following steps:

[0028] S10, acquiring an image at a cross section of the hob, and preprocessing the image.

[0029] The image can at least show the geometric shape, surface texture and possible defects such as cracks and wear of the hob. The image is preprocessed by at least image enhancement and denoising to improve the clarity of the image, which helps to improve the accuracy and efficiency of subsequent feature recognition.

[0030] S20, performing feature recognition on the image to obtain feature information on the roller cutter.

[0031] The characteristic information may include the geometrical dimensions, crack distribution and internal structure of the hob, for example, the microstructure of the hob.

[0032] S30, performing a physical property test on the hob to obtain physical data of the hob, wherein the physical data at least includes a stress value. That is, when the physical data is a stress value, the stress distribution of the hob under different working conditions is monitored and recorded in real time to provide a scientific basis for subsequent quality evaluation.

[0033] S40, constructing the quality report information of the hob based on the characteristic information and the physical data, sending and recording it to the backend terminal. That is, the quality report information may include the characteristic information and physical data of each hob tested, and is stored in the backend terminal, which can facilitate subsequent quality tracing, data analysis and process improvement.

[0034] It should be noted that in the step of obtaining the image of the hob cross section, the equipment that can be used includes but is not limited to industrial cameras, optical scanning equipment, etc. The corresponding equipment can be selected according to different detection requirements and environmental conditions to provide high-quality image data, which will not be repeated here.

[0035] In summary, the shield machine cutter quality detection method provided by the embodiment of the present invention realizes the full-chain monitoring of the production and use process of the cutter by combining image feature recognition, physical property testing and intelligent analysis technology, effectively improves the quality stability of the cutter and reduces the production cost. Similarly, the shield machine cutter quality detection method can also be used for cutter failure analysis, that is, by tracing the production process of the cutter to determine the failure factor of the cutter, and then improve the production process of the cutter.

[0036] In some embodiments, the step of obtaining an image at a cross section of a hob includes: performing image acquisition on a hob in a forging stage to obtain a tissue image on the hob; the step of performing feature identification on the image to obtain feature information on the hob includes: performing feature recognition on the image to obtain tissue features on a hob ring.

[0037] Specifically, in the production process of the hob, forging is a crucial link, which directly affects the internal structure and mechanical properties of the hob. Therefore, the hob in the forging stage and after the forging is completed can be captured in real time to clearly reflect the organizational characteristics of the hob. The organizational characteristics can be that the core of the hob ring is a tempered martensite structure, and the near-surface structure is a tempered martensite structure.

[0038] In some embodiments, the step of performing material property testing on the hob to obtain material data of the hob includes: performing stress testing on the hob in the coating preparation stage to obtain residual stress values ​​on the cross section of the hob; and constructing a residual stress distribution diagram on the cross section of the hob based on the residual stress values.

[0039] Among them, coating preparation is a key step in the production process of hobs, which aims to improve the wear resistance, corrosion resistance and impact resistance of hobs by coating one or more layers of specific materials on the surface of the hobs. However, residual stress may be introduced during the coating preparation process, which may have an adverse effect on the performance of the hobs. Therefore, it is particularly important to perform stress testing on hobs during the coating preparation stage.

[0040] In the process of stress detection of the hob in the coating preparation stage, X-ray diffraction, neutron diffraction, ultrasonic method, etc. can be used to non-destructively measure the residual stress value on the hob cross section, providing accurate data for the subsequent construction of the stress distribution map. After obtaining the residual stress value on the hob cross section, the measured residual stress value can be sorted, analyzed and processed through data analysis software and visualization tools, and finally an intuitive residual stress distribution map is generated.

[0041] It should be noted that the residual stress distribution diagram can clearly show the residual stress distribution in different areas on the hob cross section, including the magnitude, direction and distribution range of the stress. By analyzing this information, the influence of the coating preparation process on the stress state of the hob can be evaluated, and then the rationality and effectiveness of the coating preparation process can be judged.

[0042] In some embodiments, the material data also includes a hardness value, and the quality inspection method for the shield machine cutter also includes the steps of: performing a hardness inspection on the cutter to obtain hardness data on the cross section of the cutter; and constructing a hardness distribution map on the cross section of the cutter based on the hardness data.

[0043] Specifically, when testing the hardness of a hob, a Rockwell hardness tester, Brinell hardness tester or Vickers hardness tester can be used to accurately measure the hardness value on the hob cross section according to the material characteristics of the hob and the testing requirements. Through hardness testing, the hardness values ​​of multiple measurement points on the hob cross section can be obtained; then, a hardness distribution map on the hob cross section can be constructed through data analysis software and visualization tools.

[0044] When drawing the hardness distribution diagram, it is necessary to interpolate and fit according to the position and hardness value of the measurement point to obtain a smoother and more accurate hardness distribution curve. At the same time, different colors or gray levels can be set as needed to represent different hardness ranges, so as to show the difference in hardness distribution more clearly. The hardness distribution diagram is usually displayed in the form of a two-dimensional or three-dimensional graph, which can intuitively reflect the hardness distribution of different areas on the hob cross section.

[0045] In some embodiments, the quality inspection method for the shield machine cutter further includes the steps of obtaining the wear amount of different parts of the cutter, constructing a curve graph of the wear amount changing over time, and recording the curve graph in the quality report information.

[0046] Among them, in order to obtain the wear amount of different parts on the hob, a variety of measurement methods can be used, such as laser scanning, three-dimensional topography measurement, contact or non-contact thickness gauge, etc. These methods can accurately measure parameters such as wear depth, width or volume on the hob surface or specific area. During the measurement process, it is necessary to ensure that the selection of measurement points is representative and can fully reflect the overall wear of the hob.

[0047] The wear data obtained by measurement is recorded and organized into a table or database for subsequent data analysis and processing. At the same time, the time of each measurement, working conditions and the use status of the roller cutter need to be recorded in order to analyze the relationship between the wear and these factors. The working conditions include excavation distance, rock type, excavation speed, etc.

[0048] Then, based on the organized wear data, use data analysis software and drawing tools to construct a graph showing the wear of different parts of the hob over time. The graph should clearly show the wear trend of each measurement point over time, as well as the difference and comparison of wear between different parts. This can then analyze the change in wear rate, the cumulative effect of wear, and the impact of different operating conditions on wear, evaluate the wear resistance of the hob, predict its remaining service life, and provide a basis for subsequent maintenance decisions and design optimization.

[0049] In some embodiments, the quality inspection method for the shield machine cutter further includes the steps of: using a flaw detector to identify and locate crack defects in the cutter, and recording the crack defects in the quality report information.

[0050] In this embodiment, first, a suitable flaw detector can be selected according to the material properties, size and detection requirements of the hob. Common flaw detectors include ultrasonic flaw detectors, magnetic particle flaw detectors, eddy current flaw detectors, etc. Each flaw detector has its own unique detection principle and applicable scope, so it is necessary to select according to the actual situation.

[0051] Then, the selected flaw detector is used to conduct a comprehensive or partial crack detection on the hob. During the detection process, it is necessary to operate according to the predetermined detection path and parameters to ensure that the key parts and potential crack areas of the hob can be covered.

[0052] Furthermore, the detected signal is analyzed and processed through the display interface of the flaw detector or the data analysis software to identify and locate the crack defect in the hob. For ultrasonic flaw detectors, it is usually necessary to judge whether there is a crack based on the characteristics of the echo signal (such as amplitude, phase, time, etc.) and determine the location, size and shape of the crack.

[0053] Finally, the identified crack defects are recorded in the quality report information, including the location, size, shape and possible degree of damage of the cracks. At the same time, the quality of the hob is evaluated based on the crack detection results to determine whether it meets the design requirements and usage standards.

[0054] In some embodiments, the method for detecting the quality of the shield machine roller cutter further comprises the following steps after the step of constructing the quality report information of the roller cutter and sending it to the backend terminal:

[0055] Based on the quality report information corresponding to each hob, a hob quality database is constructed.

[0056] Specifically, the quality report information of all shield machine cutters will be collected, and the structure of the cutter quality database will be designed. The database can contain multiple tables, each of which corresponds to different aspects of cutter quality management, such as basic information table, test data table, evaluation conclusion table, maintenance record table, etc. Then, the sorted quality report information will be entered into the cutter quality database. During the entry process, data verification is performed to ensure the accuracy and consistency of the data. The cutter quality database is maintained and updated regularly. This includes backing up database data to prevent data loss, optimizing database performance to improve query efficiency, and updating the database structure to adapt to new management needs. At the same time, as new quality report information is continuously generated, new data is entered into the database in a timely manner to maintain the timeliness and integrity of the database.

[0057] Finally, the data in the hob quality database is analyzed and mined to discover the patterns and trends of hob quality problems. This helps to formulate targeted improvement measures and optimization plans to improve the quality and reliability of the hobs. At the same time, the analysis results can be applied to various links such as hob design, production, use and maintenance to achieve full-chain quality management.

[0058] In some embodiments, the step of preprocessing the image includes at least image enhancement and denoising. The image enhancement may include contrast enhancement, brightness adjustment, and sharpening. The contrast enhancement may adjust the contrast of the image to make the details of the hob surface (such as cracks, wear marks, etc.) more clearly discernible. The brightness adjustment may be adjusted according to the overall brightness level of the image to ensure that the image is within a suitable brightness range to avoid loss of details caused by being too dark or too bright. The sharpening may enhance the edge information of the image to make the outline and details of the hob sharper, which is helpful for tasks such as edge detection and shape recognition.

[0059] The denoising process may include spatial domain filtering, frequency domain filtering, and morphological filtering. The spatial domain filtering may directly perform filtering processing on the pixel domain of the image, such as mean filtering, median filtering, Gaussian filtering, etc., to remove noise by smoothing the image. The frequency domain filtering may convert the image from the pixel domain to the frequency domain, filter the image in the frequency domain, and then convert it back to the pixel domain, which may more effectively remove specific types of noise while retaining the edges and details in the image. The morphological filtering may utilize morphological operations to remove noise in the image, and may remove small-scale noise points or noise areas while maintaining the shape and structure of the image.

[0060] In addition, if Figure 2As shown, the embodiment of the present invention also provides a shield machine cutter quality detection device 100, which can execute the steps in the shield machine cutter quality detection method provided in the above embodiment. Therefore, the beneficial effects that can be achieved by the shield machine cutter quality detection device 100 can refer to the beneficial effects corresponding to the shield machine cutter quality detection method provided above, and will not be repeated here.

[0061] The quality inspection device 100 for the shield machine roller cutter includes an image acquisition module 10, a physical test module 20 and a processing module 30. The image acquisition module 10 is used to obtain an image at the roller cutter cross section, preprocess the image, perform feature recognition on the preprocessed image, and obtain feature information on the roller cutter; the physical test module 20 is used to perform physical performance inspection on the roller cutter to obtain physical data of the roller cutter, and the physical data at least includes stress values; the processing module 30 is used to construct quality report information of the roller cutter based on the feature information and physical data, and send and record it to the background terminal. In this embodiment, the physical test module can be used to test the geometric dimensions, stress values, etc. of the roller cutter.

[0062] In summary, the shield machine cutter quality inspection device 100 provided in the embodiment of the present invention realizes comprehensive, accurate and efficient inspection of the cutter quality through a highly integrated image acquisition module 10, a physical testing module 20 and a processing module 30, thus providing a solid guarantee for ensuring the safe operation of the shield machine and the quality of the project.

[0063] Furthermore, the shield machine cutter quality inspection device 100 also includes a hardness inspection module 40, which is used to perform hardness inspection on the cutter to obtain hardness data on the cross section of the cutter, so as to intuitively understand the hardness distribution of the cutter material and provide an important basis for evaluating the quality of the cutter.

[0064] It should be noted that the image acquisition module 10 , the physical testing module 20 , the hardness detection module 40 and the processing module 30 are electrically connected to realize data transmission, command reception and transmission, etc.

[0065] In this embodiment, the processing module may be a central processing unit (CPU), or other general processing modules, digital signal processing modules (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general processing module may be a microprocessing module or any conventional processing module. The processing module is the control center of the device, and various interfaces and lines are used to connect the various parts of the entire device.

[0066] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "rear", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0067] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0068] Various embodiments of the methods described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, which may be executed and / or interpreted on a programmable system including at least one programmable processing module, which may be a dedicated or general programmable processing module, which may receive data and instructions from a storage module, at least one input device, and at least one output device, and transmit data and instructions to the storage module, the at least one input device, and the at least one output device.

[0069] The program code for implementing the method itself can be written in any combination of one or more programming languages. These program codes can be provided to a processing module or control unit of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processing module or control unit, causes the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0070] To provide interaction with a user, the methods described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0071] The methods described herein may be implemented in a computing system that includes a backend component (e.g., as a data server), or a computing system that includes a middleware component (e.g., an application server), or a computing system that includes a frontend component (e.g., a user computer with a graphical user interface or a grid browser through which a user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication grid). Examples of communication grids include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain grid.

[0072] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication grid. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server for a distributed system, or a server combined with a blockchain.

[0073] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.

[0074] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0075] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0076] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processing module, or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0077] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a storage module and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0078] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0079] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0080] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the quality of a shield machine cutter, characterized in that: The steps include: Acquire an image at a cross section of a hob, and pre-process the image; Performing feature recognition on the image to obtain feature information on the hob; Performing physical property testing on the hob to obtain physical data of the hob, wherein the physical data at least includes a stress value; Based on the characteristic information and the physical data, quality report information of the hob is constructed, sent and recorded to the backend terminal.

2. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The step of obtaining an image at a cross section of a hob includes: acquiring an image of the hob in a forging forming stage to obtain a tissue image on the hob; The step of performing feature recognition on the image to obtain feature information on the hob includes: performing feature recognition on the image to obtain the tissue features on the hob cutter ring.

3. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The step of testing the physical properties of the hob to obtain physical data of the hob includes: performing stress testing on the hob in the coating preparation stage to obtain residual stress values ​​on the cross section of the hob; and constructing a residual stress distribution diagram on the cross section of the hob based on the residual stress values.

4. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The physical data also includes a hardness value, and the quality detection method of the shield machine roller cutter also includes the steps of: performing a hardness test on the roller cutter to obtain hardness data on the roller cutter cross section; Based on the hardness data, a hardness distribution diagram on the cross section of the hob is constructed.

5. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The method also includes the steps of obtaining the wear amount of different parts of the hob, constructing a curve graph showing the wear amount changing with time, and recording the curve graph in the quality report information.

6. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The method further comprises the steps of: using a flaw detector to identify and locate crack defects in the hob, and recording the crack defects in the quality report information; And / or, it also includes the steps of: obtaining the roughness value of the hob surface, and recording the roughness value in the quality report information.

7. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: After the step of constructing the quality report information of the hob and sending it to the background terminal, the steps of: Based on the quality report information corresponding to each hob, a hob quality database is constructed.

8. The method for detecting the quality of the shield machine cutter according to claim 1, characterized in that: The step of preprocessing the image includes at least image enhancement processing and denoising processing.

9. A quality inspection device for a shield machine cutter, characterized in that: It includes: An image acquisition module, the image acquisition module is used to acquire an image at a cross section of the hob, preprocess the image, perform feature recognition on the preprocessed image, and obtain feature information on the hob; A physical testing module, the physical testing module is used to perform physical property testing on the hob to obtain physical data of the hob, the physical data at least including a stress value; A processing module is used to construct quality report information of the hob according to the characteristic information and the physical data, and send and record the quality report information to a background terminal.

10. The shield machine cutter quality inspection device according to claim 9, characterized in that: It also includes a hardness detection module, which is used to perform hardness detection on the hob to obtain hardness data on the cross section of the hob.

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