Method for analyzing crimping quality of power transmission crimping fitting

Abstract

The invention discloses a power transmission crimping fitting crimping quality analysis method, which comprises the following steps: acquiring surface and internal characteristic data of a crimping fitting by using an ultrasonic imaging technology, and monitoring key parameters including pressure, temperature and displacement in a crimping process through a real-time sensor; performing comprehensive analysis on surface defects, heat distribution and internal structure characteristics of the crimping fitting through an artificial intelligence model in combination with the collected multi-modal data; a photoelastic analysis technology is adopted to detect residual stress distribution of a crimping area, and working parameters of the detection device are adaptively adjusted according to temperature, humidity and illumination changes of a detection environment. According to the invention, the quality analysis capability of the crimping fitting is improved from multiple aspects of accuracy, real-time performance, adaptability and the like, and a technical guarantee is provided for safe operation of a power transmission line.

Description

Technical Field

[0001] The invention relates to the technical field of crimping quality analysis of power transmission voltage connection fittings, and in particular to a crimping quality analysis method of power transmission voltage connection fittings. Background Art

[0002] During the construction and maintenance of power transmission lines, the crimping quality of crimping fittings is crucial to the safe operation of the lines. At present, the quality inspection methods for crimping fittings mainly include appearance size inspection, grip strength test and X-ray inspection. However, these traditional methods have obvious shortcomings. For example, appearance inspection cannot reflect the internal crimping status, grip strength test is a destructive test, and can only predict some samples, while X-ray inspection equipment is bulky, lacks penetration, and has radiation risks, making it unsuitable for outdoor high-altitude operations. These technical limitations make it difficult to detect potential quality problems in the operation of power transmission lines in a timely manner, which may cause equipment failures or even safety accidents. Therefore, there is an urgent need for a method that can quickly, non-contactly and accurately detect the crimping quality of crimping fittings to meet the needs of efficient and safe inspection. Summary of the invention

[0003] In view of the above existing problems, the present invention is proposed.

[0004] Therefore, the present invention provides a method for analyzing the crimping quality of power transmission connectors, which solves the following technical problems: how to quickly obtain the surface and internal feature data of crimping hardware through non-contact technology; how to monitor and analyze key mechanical and thermal parameters in real time during the crimping process; how to comprehensively evaluate the crimping quality through the fusion analysis of multi-modal data; how to accurately detect the residual stress distribution in the crimping area; and how to maintain the stability and accuracy of the detection equipment in complex field environments. The technical solution of the present invention comprehensively improves the scientificity and practicality of crimping quality detection from data acquisition and analysis to environmental adaptability optimization.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions, a method for analyzing the crimping quality of power transmission connection fittings, comprising:

[0006] Use ultrasonic imaging technology to obtain surface and internal feature data of crimping hardware, and use real-time sensors to monitor key parameters of the crimping process, including pressure, temperature and displacement;

[0007] Combining the collected multimodal data, the surface defects, thermal distribution and internal structural characteristics of the crimping hardware are comprehensively analyzed through the artificial intelligence model;

[0008] Photoelastic analysis technology is used to detect the residual stress distribution in the crimping area, and the working parameters of the detection device are adaptively adjusted according to changes in temperature, humidity and light in the detection environment.

[0009] As a preferred solution of the method for analyzing the crimping quality of power transmission voltage connection fittings described in the present invention, the ultrasonic imaging technology includes using an ultrasonic probe to emit high-frequency ultrasonic signals, and generating three-dimensional internal imaging of the crimping fittings by receiving reflected waves and scattered waves to identify internal gaps, cracks and poor contact points.

[0010] As a preferred solution of the method for analyzing the crimping quality of power transmission connectors described in the present invention, the three-dimensional internal imaging includes: an ultrasonic probe emitting a high-frequency ultrasonic signal to the detection area of ​​the crimping connector, the ultrasonic wave propagates inside the connector and reflects and scatters with materials of different densities or interfaces, and a receiving device records the time delay information and amplitude changes of the reflected echo, converts it into signal data, calculates the length of the ultrasonic propagation path in combination with the echo time delay data, analyzes the material interface characteristics through amplitude changes, and uses a volume reconstruction algorithm to perform three-dimensional grid processing on the collected multi-point signal data to generate a structural distribution model inside the connector to display the continuity of the internal material and possible changes in geometric characteristics.

[0011] As a preferred solution of the method for analyzing the crimping quality of power transmission connection fittings described in the present invention, the real-time sensor monitoring includes: embedding a pressure sensor at the node position of the crimping equipment to monitor the instantaneous pressure and continuous pressure value applied during the crimping process; a temperature sensor is arranged near the contact area to record the temperature rise during the crimping process; a displacement sensor is installed on the moving part to capture the movement trajectory and displacement amplitude of the crimping tool;

[0012] The sensor synchronously collects data during the crimping operation and transmits the real-time data to the data acquisition module for preprocessing. The data acquisition module normalizes and synchronizes the sensor signals, and transmits the processed data stream to the upper processing unit via wired or wireless means for subsequent analysis and calculation.

[0013] As a preferred solution of the method for analyzing the crimping quality of power transmission connection fittings described in the present invention, the upper processing unit includes analyzing the mechanical and thermal data collected in real time based on a preset parameter range and a machine learning algorithm to determine abnormal conditions that may occur during the crimping process.

[0014] As a preferred solution of the method for analyzing the crimping quality of power transmission voltage connection fittings described in the present invention, the artificial intelligence model includes extracting multimodal feature data of crimping fittings by combining image recognition, infrared thermal imaging and acoustic wave signal analysis, and comprehensively evaluating appearance defects, uneven heat distribution and internal structural defects through a deep learning model.

[0015] As a preferred solution of the method for analyzing the crimping quality of power transmission connection fittings described in the present invention, the deep learning model includes a feature extraction network and a classification judgment network. The feature extraction network performs multi-layer convolution processing on multimodal data to extract key features, and the classification judgment network outputs the crimping quality evaluation results through a fully connected layer.

[0016] As a preferred solution of the method for analyzing the crimping quality of power transmission connectors described in the present invention, the residual stress distribution includes using photoelastic analysis technology to apply polarized light on the surface of the crimping connector to generate a residual stress distribution map, and analyzing the stress concentration area in combination with an image processing algorithm.

[0017] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of a method for analyzing the crimping quality of a voltage transmission connection fitting are implemented.

[0018] A computer-readable storage medium stores a computer program thereon, characterized in that when the computer program is executed by a processor, the steps of a method for analyzing the crimping quality of a voltage transmission connection fitting are implemented.

[0019] Beneficial effects of the present invention: The present invention provides a comprehensive method for analyzing the crimping quality of power transmission connection fittings, which realizes non-contact internal structure detection through ultrasonic imaging technology, eliminating the radiation risk of traditional methods; real-time sensor monitoring combined with machine learning algorithms can dynamically capture abnormal trends in the crimping process and optimize detection efficiency; multimodal artificial intelligence analysis improves the comprehensive evaluation capabilities of the crimping surface, thermal distribution and internal defects; photoelastic residual stress detection technology further enhances the identification of potential fatigue points; at the same time, the detection device has environmental adaptability and can maintain stable operation under complex conditions. On the whole, the present invention improves the quality analysis capabilities of crimping fittings in terms of accuracy, real-time and adaptability, providing technical guarantees for the safe operation of power transmission lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0021] Figure 1 A schematic flow chart of a method for analyzing crimping quality of power transmission voltage connection fittings provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0025] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0026] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the 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 direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0027] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0028] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a method for analyzing the crimping quality of a power transmission voltage connection fitting, comprising:

[0029] S1: Use ultrasonic imaging technology to obtain surface and internal feature data of crimping hardware, and use real-time sensors to monitor key parameters during the crimping process, including pressure, temperature and displacement.

[0030] S2: Combined with the collected multimodal data, the surface defects, thermal distribution and internal structural characteristics of the crimping hardware are comprehensively analyzed through the artificial intelligence model.

[0031] S3: Photoelastic analysis technology is used to detect the residual stress distribution in the crimping area, and the working parameters of the detection device are adaptively adjusted according to the changes in temperature, humidity and light in the detection environment.

[0032] The ultrasonic imaging technology includes using an ultrasonic probe to emit high-frequency ultrasonic signals, and by receiving reflected waves and scattered waves, generating three-dimensional internal imaging of the crimping hardware to identify internal gaps, cracks and poor contact points.

[0033] The three-dimensional internal imaging includes: an ultrasonic probe emitting a high-frequency ultrasonic signal to a detection area of ​​the crimping hardware; the ultrasonic wave propagates inside the hardware and reflects and scatters with materials of different densities or at interfaces; a receiving device records the time delay information and amplitude change of the reflected echo, converts it into signal data, calculates the length of the ultrasonic wave propagation path in combination with the echo time delay data, analyzes the material interface characteristics through the amplitude change, and uses a volume reconstruction algorithm to perform three-dimensional grid processing on the collected multi-point signal data to generate a structural distribution model inside the hardware, showing the continuity of the internal material and possible changes in geometric characteristics.

[0034] The real-time sensor monitoring includes embedding pressure sensors at the node positions of the crimping equipment to monitor the instantaneous pressure and continuous pressure values ​​applied during the crimping process; temperature sensors are arranged near the contact area to record the temperature rise during the crimping process; displacement sensors are installed on the moving parts to capture the movement trajectory and displacement amplitude of the crimping tool;

[0035] The sensor synchronously collects data during the crimping operation and transmits the real-time data to the data acquisition module for preprocessing. The data acquisition module normalizes and synchronizes the sensor signals, and transmits the processed data stream to the upper processing unit via wired or wireless means for subsequent analysis and calculation.

[0036] The upper processing unit includes, based on a preset parameter range and a machine learning algorithm, analyzing the mechanical and thermal data collected in real time to determine abnormal conditions that may occur during the crimping process.

[0037] The artificial intelligence model includes combining image recognition, infrared thermal imaging and acoustic wave signal analysis to extract multimodal feature data of crimping hardware, and conducts a comprehensive assessment of appearance defects, uneven heat distribution and internal structural defects through a deep learning model.

[0038] The deep learning model includes a feature extraction network and a classification judgment network. The feature extraction network performs multi-layer convolution processing on multimodal data to extract key features, and the classification judgment network outputs the evaluation results of the crimping quality through a fully connected layer.

[0039] The residual stress distribution includes using photoelastic analysis technology to apply polarized light on the surface of the crimping hardware to generate a residual stress distribution map, and analyzing the stress concentration area in combination with an image processing algorithm.

[0040] The image processing algorithm quantifies the abnormal areas in the residual stress distribution map through pixel gradient analysis and region segmentation algorithm, and generates structural data related to the stress characteristics of the crimping area.

[0041] The detection device includes an integrated temperature and humidity sensor, a light sensor and an environmental compensation module. The environmental compensation module adjusts the laser power, imaging exposure time or detection sensitivity of the detection device according to real-time monitored environmental parameters to adapt to environmental changes.

[0042] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0043] Example 2

[0044] The second embodiment of the present invention is different from the previous embodiment in that:

[0045] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0046] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0047] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0048] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0049] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0050] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for analyzing the crimping quality of power transmission connection fittings, characterized in that: include, Use ultrasonic imaging technology to obtain surface and internal feature data of crimping hardware, and use real-time sensors to monitor key parameters of the crimping process, including pressure, temperature and displacement; Combining the collected multimodal data, the surface defects, thermal distribution and internal structural characteristics of the crimping hardware are comprehensively analyzed through the artificial intelligence model; Photoelastic analysis technology is used to detect the residual stress distribution in the crimping area, and the working parameters of the detection device are adaptively adjusted according to changes in temperature, humidity and light in the detection environment.

2. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 1, characterized in that: The ultrasonic imaging technology includes using an ultrasonic probe to emit high-frequency ultrasonic signals, and by receiving reflected waves and scattered waves, generating three-dimensional internal imaging of the crimping hardware to identify internal gaps, cracks and poor contact points.

3. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 2, characterized in that: The three-dimensional internal imaging includes: an ultrasonic probe emitting a high-frequency ultrasonic signal to a detection area of ​​the crimping hardware; the ultrasonic wave propagates inside the hardware and reflects and scatters with materials of different densities or at interfaces; a receiving device records the time delay information and amplitude change of the reflected echo, converts it into signal data, calculates the length of the ultrasonic wave propagation path in combination with the echo time delay data, analyzes the material interface characteristics through the amplitude change, and uses a volume reconstruction algorithm to perform three-dimensional grid processing on the collected multi-point signal data to generate a structural distribution model inside the hardware, showing the continuity of the internal material and possible changes in geometric characteristics.

4. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 3, characterized in that: The real-time sensor monitoring includes embedding pressure sensors at the node positions of the crimping equipment to monitor the instantaneous pressure and continuous pressure values ​​applied during the crimping process; temperature sensors are arranged near the contact area to record the temperature rise during the crimping process; displacement sensors are installed on the moving parts to capture the movement trajectory and displacement amplitude of the crimping tool; The sensor synchronously collects data during the crimping operation and transmits the real-time data to the data acquisition module for preprocessing. The data acquisition module normalizes and synchronizes the sensor signals, and transmits the processed data stream to the upper processing unit via wired or wireless means for subsequent analysis and calculation.

5. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 4, characterized in that: The upper processing unit includes, based on a preset parameter range and a machine learning algorithm, analyzing the mechanical and thermal data collected in real time to determine abnormal conditions that may occur during the crimping process.

6. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 5, characterized in that: The artificial intelligence model includes combining image recognition, infrared thermal imaging and acoustic wave signal analysis to extract multimodal feature data of crimping hardware, and conducts a comprehensive assessment of appearance defects, uneven heat distribution and internal structural defects through a deep learning model.

7. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 6, characterized in that: The deep learning model includes a feature extraction network and a classification judgment network. The feature extraction network performs multi-layer convolution processing on multimodal data to extract key features, and the classification judgment network outputs the evaluation results of the crimping quality through a fully connected layer.

8. A method for analyzing the crimping quality of power transmission voltage connection fittings according to claim 7, characterized in that: The residual stress distribution includes using photoelastic analysis technology to apply polarized light on the surface of the crimping hardware to generate a residual stress distribution map, and analyzing the stress concentration area in combination with an image processing algorithm.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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