Grounding grid detection method, device and equipment based on image fusion and storage medium

Abstract

The invention provides a grounding grid detection method and device based on image fusion, equipment and a storage medium. The method comprises the following steps: measuring a first detection image, a second detection image and a third detection image of a to-be-detected area; performing Laplacian pyramid fusion on the first detection image, the second detection image and the third detection image to obtain a grounding grid fusion image; performing edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image; and detecting the edge strength of the corrosion area in the edge image to represent the corrosion degree of the corrosion area. According to the invention, three imaging technologies of electrical impedance, ultrasonic wave and infrared thermal are adopted, and through image registration and Laplacian pyramid fusion, non-destructive and real-time on-line detection of the state of the grounding grid is realized, multi-dimensional information such as resistivity, structure and temperature can be comprehensively reflected, the accuracy of corrosion positioning and evaluation is effectively improved, and the reliability of the system is improved. And visual and reliable technical support is provided for safe operation and maintenance of a power system.

Description

Technical Field

[0001] The present invention relates to the technical field of grounding grid detection, and particularly to a grounding grid detection method, device, equipment and storage medium based on image fusion. Background Art

[0002] With the continuous expansion of the scale of the power system, the safety requirements for grounding grids in power plants, substations and other power facilities are constantly increasing. Traditional methods often rely only on a single detection technology, such as methods based on electrical impedance tomography, electromagnetic fields or electrochemical theory for evaluation, and it is difficult to comprehensively reflect the true state inside the grounding grid. Single technologies have problems such as insufficient data collection, low resolution, and susceptibility to environmental interference, and cannot accurately locate local corrosion or fracture sites, resulting in large errors in detection results. Moreover, detection methods such as power outage and excavation not only consume time and effort, but also interrupt power supply, bringing greater economic losses and safety hazards to enterprises.

[0003] In summary, the defects existing in the prior art need to be solved urgently. Summary of the Invention

[0004] The present invention provides a grounding grid detection method, device, equipment and storage medium based on image fusion to solve the defects in the prior art and improve the accuracy and reliability of grounding grid detection.

[0005] The present invention provides a grounding grid detection method based on image fusion, including:

[0006] Measuring the voltage of the area to be detected through an electrical impedance tomography sensor to obtain a first detection image of the area to be detected;

[0007] Performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected;

[0008] Performing infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected;

[0009] Performing Laplacian pyramid fusion on the first detection image, the second detection image and the third detection image to obtain a grounding grid fusion image;

[0010] Performing edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image;

[0011] Detecting the edge intensity of the corrosion area in the edge image, and the edge intensity is used to characterize the corrosion degree of the corrosion area.

[0012] According to a grounding grid detection method based on image fusion provided by the present invention, before the step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image, the method further includes:

[0013] Performing image registration on the first detection image, the second detection image, and the third detection image.

[0014] According to a grounding grid detection method based on image fusion provided by the present invention, the step of performing image registration on the first detection image, the second detection image, and the third detection image specifically includes:

[0015] Constructing a key point matrix based on the second-order Gaussian differential values of the first detection image, the second detection image, and the third detection image;

[0016] Selecting invariant key points in the first detection image, the second detection image, and the third detection image through the key point matrix;

[0017] Performing image registration on the first detection image, the second detection image, and the third detection image through the invariant key points.

[0018] According to a grounding grid detection method based on image fusion provided by the present invention, the impedance imaging sensor includes a plurality of electrode plates, and the step of measuring the voltage of the area to be detected through the impedance imaging sensor to obtain the first detection image of the area to be detected specifically includes:

[0019] Arranging a plurality of the electrode plates in the area to be detected;

[0020] Controlling the electrode plates to inject a preset current into the area to be detected and measuring the voltage signal generated in the area to be detected to obtain a voltage signal;

[0021] Converting the voltage signal into the first detection image of the area to be detected, and the first detection image represents the resistivity distribution of the area to be detected.

[0022] According to a grounding grid detection method based on image fusion provided by the present invention, the step of performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain the second detection image of the area to be detected specifically includes:

[0023] Transmitting an ultrasonic signal through the ultrasonic probe according to preset parameters;

[0024] Receiving the ultrasonic signal reflected back in the area to be detected to obtain an echo signal;

[0025] Convert the echo signal into a second detection image of the area to be detected, where the second detection image represents the structural information of the area to be detected.

[0026] According to a method for detecting a grounding grid based on image fusion provided by the present invention, the step of obtaining a third detection image of the area to be detected by performing infrared thermal imaging on the area to be detected through an infrared thermal imager specifically includes:

[0027] Collect infrared radiation emitted by the area to be detected through the infrared thermal imager to obtain an infrared radiation signal;

[0028] Convert the infrared radiation signal into a third detection image of the area to be detected, where the third detection image represents the temperature distribution information of the area to be detected.

[0029] According to a method for detecting a grounding grid based on image fusion provided by the present invention, the step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image specifically includes:

[0030] Construct Laplacian pyramid representations of the first detection image, the second detection image, and the third detection image respectively;

[0031] Perform weighted fusion on the corresponding image data at each pyramid level to obtain fused pyramid data;

[0032] Reconstruct a grounding grid fusion image according to the fused pyramid data.

[0033] The present invention also provides a grounding grid detection device based on image fusion, including:

[0034] A first detection module for measuring the voltage of the area to be detected through an electrical impedance imaging sensor to obtain a first detection image of the area to be detected;

[0035] A second detection module for performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected;

[0036] A third detection module for performing infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected;

[0037] An image fusion module for performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image;

[0038] An edge detection module, configured to perform edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image;

[0039] An edge intensity module, configured to detect the edge intensity of the corrosion area in the edge image, and the edge intensity is used to characterize the corrosion degree of the corrosion area.

[0040] The present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the grounding grid detection method based on image fusion as described in any one of the above is implemented.

[0041] The present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the grounding grid detection method based on image fusion as described in any one of the above is implemented.

[0042] The present invention further provides a computer program product, including a computer program. When the computer program is executed by a processor, the grounding grid detection method based on image fusion as described in any one of the above is implemented.

[0043] The grounding grid detection method, device, equipment, and storage medium based on image fusion provided by the present invention measure the first detection image, the second detection image, and the third detection image of the area to be detected; perform Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image; then perform edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image; detect the edge intensity of the corrosion area in the edge image to characterize the corrosion degree of the corrosion area. This aspect adopts three imaging technologies of electrical impedance, ultrasonic, and infrared thermography. Through image registration and Laplacian pyramid fusion, it realizes non-destructive and real-time online detection of the grounding grid state, can comprehensively reflect multi-dimensional information such as resistivity, structure, and temperature, effectively improves the accuracy of corrosion positioning and evaluation, and provides intuitive and reliable technical support for the safe operation and maintenance of the power system. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0045] Figure 1 It is a schematic flowchart of the grounding grid detection method based on image fusion provided by the present invention;

[0046] Figure 2 It is a schematic structural diagram of a grounding grid detection device based on image fusion provided by the present invention;

[0047] Figure 3 It is a schematic structural diagram of an electronic device provided by the present invention. Specific embodiments

[0048] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0049] To solve the problems in the prior art, the present invention proposes a grounding grid detection method based on image fusion to improve the accuracy and reliability of grounding grid detection. The grounding grid detection method based on image fusion will be described below, as Figure 1 shown, including but not limited to the following steps:

[0050] Step 110: Measure the voltage of the area to be detected through an electrical impedance tomography sensor to obtain a first detection image of the area to be detected.

[0051] In step 110, in this embodiment, a plurality of electrode plates are uniformly arranged in the area to be detected (such as a substation grounding grid area). Through the electrical impedance tomography sensor, a preset current is applied at each electrode plate, and the voltage signals at various points in the area to be detected are synchronously measured. Subsequently, the measured voltage signals are preprocessed (including filtering, amplification, and analog-to-digital conversion), and an image reconstruction algorithm (such as the finite element method or other suitable numerical algorithms) is used to convert the voltage data into an image reflecting the resistivity distribution, that is, the first detection image. This image can intuitively display the resistivity distribution inside the area to be detected, thereby providing an electrical information basis for subsequent fault and corrosion location.

[0052] Step 120: Perform ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected.

[0053] In step 120, an ultrasonic probe is used to image the area to be detected. First, the ultrasonic probe emits ultrasonic signals according to preset parameters (such as operating frequency, emission amplitude, and pulse width). Due to the discontinuity of the grounding grid structure and the surrounding medium in the area to be detected, echo signals will be generated at different interfaces. After the ultrasonic probe receives the echo signals, the analog signals are converted into digital signals through an analog-to-digital converter, and a series of signal processing (such as amplification, filtering, noise reduction, etc.) is performed. Using a suitable image reconstruction algorithm (such as DSC imaging processing), the processed digital signals are converted into a two-dimensional image, that is, the second detection image. This image mainly reflects the structural information in the area to be detected and can display abnormal structures such as the outline of the grounding grid, internal fractures, or corrosion.

[0054] Step 130: Use an infrared thermal imager to perform infrared thermal imaging on the area to be detected to obtain the third detection image of the area to be detected.

[0055] In step 130, an infrared thermal imager is used to image the area to be detected. The infrared thermal imager collects the infrared radiation emitted by the target area through its built-in infrared detector. After being focused by the optical system, the infrared radiation signal is converted into an electrical signal and then converted into a digital image through a dedicated image processing module, that is, the third detection image. This image intuitively reflects the temperature distribution of the area to be detected. When there is local corrosion or fracture in the grounding grid, it usually causes temperature anomalies (such as local temperature increase or decrease), thus providing thermal characteristic information for fault location.

[0056] Step 140: Perform Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a fused grounding grid image.

[0057] After obtaining the first detection image, the second detection image, and the third detection image, in order to make full use of the multimodal information obtained by the three imaging technologies, Laplacian pyramid fusion technology is used for image fusion. The specific operations are as follows:

[0058] Construct Laplacian pyramids for the three detection images respectively. Each layer contains the detailed information and low-frequency background information of the image;

[0059] On each pyramid level, according to the preset weighting rules (such as based on image local features, brightness, or gradient information), the image data of the corresponding level is weighted and fused to obtain the fused pyramid data;

[0060] Perform inverse reconstruction according to the fused pyramid data to generate the final fused grounding grid image.

[0061] The fused image will comprehensively reflect multi-dimensional information such as resistivity distribution, structural anomalies, and temperature distribution, providing a more comprehensive image basis for detecting grounding grid faults.

[0062] Step 150: Perform edge detection on the fused grounding grid image to obtain an edge image corresponding to the fused grounding grid image.

[0063] In step 150, edge detection processing is performed on the fused grounding grid image obtained in step 140 to extract the contours of the corroded or faulty areas in the image. Common methods include edge detection operators such as Sobel and Canny. Through edge detection operations, an edge image is obtained, in which the boundaries of each area of the grounding grid and the edge information of the abnormal areas are clearly marked. In the edge image, the continuity and intensity changes of the edges can reflect the unevenness or defects on the surface of the grounding grid caused by corrosion and other reasons.

[0064] Step 160: Detect the edge intensity of the corroded areas in the edge image, and the edge intensity is used to characterize the corrosion degree of the corroded areas.

[0065] In step 160, by analyzing the corroded areas in the edge image, the edge intensity is detected. The specific methods include:

[0066] Calculate the gray gradient amplitude of each edge pixel in the edge image, or use other suitable image processing methods to quantitatively analyze the intensity of the edges;

[0067] Take the detected edge intensity as an index to characterize the corrosion degree of the corresponding area. Generally, the higher the edge intensity, the greater the surface unevenness of the area, and there may be more serious corrosion or structural damage;

[0068] According to the preset determination criteria, the detection results are corresponded to the corrosion grades, providing a basis for subsequent fault warning and maintenance decision-making.

[0069] In the above embodiments, each step can be executed independently, or necessary adjustments and optimizations can be made according to the actual detection scenario. For example, in actual engineering, the electrical impedance tomography, ultrasonic imaging, and infrared thermal imaging devices can select different models and parameter configurations according to the on-site conditions. At the same time, the image fusion and edge detection algorithms can also be improved accordingly according to the data characteristics. This embodiment is only a preferred embodiment of the present invention, and its technical solution is not limited thereto. Any alternative solutions with the same or equivalent structures and functions in the art should be included in the protection scope of the present invention.

[0070] Through the above specific embodiments, the present invention can conduct a comprehensive, real-time, and non-destructive detection of the grounding grid through multi-source imaging technology without power outage or excavation, and accurately evaluate the corrosion area, thereby providing strong technical support for the safe operation of the power system.

[0071] As an alternative embodiment, before the step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain the grounding grid fusion image, the method further includes:

[0072] Performing image registration on the first detection image, the second detection image, and the third detection image.

[0073] In this embodiment, before performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain the grounding grid fusion image, the method further includes performing image registration on the above detection images to ensure that the detection images are aligned within the same coordinate system, thereby improving the accuracy of the subsequent fusion effect.

[0074] As an alternative embodiment, the step of performing image registration on the first detection image, the second detection image, and the third detection image specifically includes:

[0075] Constructing a key point matrix based on the second-order Gaussian differential values of the first detection image, the second detection image, and the third detection image;

[0076] Selecting invariant key points in the first detection image, the second detection image, and the third detection image through the key point matrix;

[0077] Performing image registration on the first detection image, the second detection image, and the third detection image through the invariant key points.

[0078] In this embodiment, the second-order Gaussian differential values of the first detection image, the second detection image, and the third detection image are calculated respectively, and a key point matrix of each image is constructed using these differential values. This matrix contains the feature information of each local region in the image and provides a basis for the subsequent extraction of key points.

[0079] By analyzing the constructed key point matrix, invariant key points with respect to translation, rotation, scaling, and noise changes are selected in the first detection image, the second detection image, and the third detection image. This step ensures that the extracted key points have high stability and representativeness in multi-source images.

[0080] Using the selected invariant key points, corresponding key points among the images are matched through a feature matching algorithm (such as an improved DS-SIFT algorithm). According to the matching results, geometric transformation parameters between the images (such as affine transformation or perspective transformation) are calculated, and the first detection image, the second detection image, and the third detection image are spatially aligned to ensure that the images accurately coincide within the same coordinate system, thereby providing accurate and aligned image data support for subsequent Laplacian pyramid fusion.

[0081] As an alternative embodiment, the electrical impedance tomography sensor includes a plurality of electrode patches. The step of obtaining the first detection image of the area to be detected by measuring the voltage of the area to be detected through the electrical impedance tomography sensor specifically includes:

[0082] Arranging a plurality of the electrode patches within the area to be detected;

[0083] Controlling the electrode patches to inject a preset current into the area to be detected and measuring the voltage signal generated within the area to be detected to obtain a voltage signal;

[0084] Converting the voltage signal into the first detection image of the area to be detected, where the first detection image characterizes the resistivity distribution of the area to be detected.

[0085] In this embodiment, a plurality of electrode patches are uniformly arranged within the area to be detected according to a predetermined spacing and layout to ensure representative positions within the covered area for comprehensively collecting electrical information within the area. Controlling the electrode patches to inject a preset current into the area to be detected and simultaneously measuring the voltage signals through each electrode patch to obtain the voltage distribution data of each point within the area to be detected. This process requires ensuring the stability of current injection and the high precision of the measuring device to ensure that the obtained voltage signal has a high signal-to-noise ratio and reliability. The measured voltage signal is subjected to signal preprocessing (including steps such as filtering, amplification, and analog-to-digital conversion), and an image reconstruction algorithm (such as the finite element method) is used to convert the voltage signal into the first detection image reflecting the resistivity distribution of the area to be detected. The first detection image intuitively characterizes the resistivity distribution within the area to be detected and provides basic electrical data for subsequent grounding grid status analysis and corrosion detection.

[0086] As an alternative embodiment, the step of obtaining the second detection image of the area to be detected by performing ultrasonic imaging on the area to be detected through an ultrasonic probe specifically includes:

[0087] Transmitting an ultrasonic signal through the ultrasonic probe according to preset parameters;

[0088] Receiving the ultrasonic signal reflected back within the area to be detected to obtain an echo signal;

[0089] Convert the echo signal into a second detection image of the area to be detected, where the second detection image represents the structural information of the area to be detected.

[0090] In this embodiment, an ultrasonic probe is used to transmit an ultrasonic signal into the area to be detected according to preset parameters (such as operating frequency, pulse width, transmission amplitude, etc.) to ensure that the signal can cover the entire area to be detected.

[0091] When the ultrasonic signal encounters different medium interfaces or structural discontinuities in the area to be detected, reflections are generated, and the ultrasonic probe receives these reflected echo signals. Appropriate amplification and filtering measures are adopted during the reception process to obtain echo signals with high signal-to-noise ratio.

[0092] The received echo signal is subjected to analog-to-digital conversion and digital signal processing, and the processed signal is converted into a two-dimensional image using an appropriate image reconstruction algorithm (such as DSC imaging processing), that is, the second detection image is obtained. This second detection image intuitively represents the structural information in the area to be detected, providing structural data support for subsequent grounding grid detection and anomaly location.

[0093] As an alternative embodiment, the step of obtaining a third detection image of the area to be detected by performing infrared thermal imaging on the area to be detected using an infrared thermal imager specifically includes:

[0094] Collect the infrared radiation emitted by the area to be detected through the infrared thermal imager to obtain an infrared radiation signal;

[0095] Convert the infrared radiation signal into a third detection image of the area to be detected, where the third detection image represents the temperature distribution information of the area to be detected.

[0096] In this embodiment, an infrared detector of the infrared thermal imager is used to collect the infrared radiation emitted by the area to be detected to generate an infrared radiation signal. This process uses an infrared optical system to focus on the area to be detected to ensure that subtle changes in temperature information within the area are captured.

[0097] The collected infrared radiation signal is subjected to optoelectronic conversion and digital processing, and a third detection image is generated using a dedicated image processing algorithm. This third detection image intuitively represents the temperature distribution information in the area to be detected, providing thermal characteristic data support for subsequent fault diagnosis.

[0098] As an alternative embodiment, the step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image specifically includes:

[0099] Construct the Laplacian pyramid representations of the first detection image, the second detection image, and the third detection image respectively;

[0100] Perform weighted fusion on the corresponding image data at each pyramid level to obtain fused pyramid data;

[0101] Reconstruct the grounding grid fused image based on the fused pyramid data.

[0102] In this embodiment, the Laplacian pyramid representations of the first detection image, the second detection image, and the third detection image are constructed respectively. This step decomposes each image into multiple scale levels, extracts the high-frequency detail information and low-frequency background information in each level, and provides a multi-level image representation for subsequent fusion.

[0103] According to the fused pyramid data, perform an inverse reconstruction operation, stack the information of each scale layer by layer, and finally reconstruct a complete grounding grid fused image. This fused image comprehensively reflects multi-modal information such as resistivity, structure, and temperature, and provides a more intuitive and accurate image basis for grounding grid fault detection.

[0104] The grounding grid detection device based on image fusion provided by the present invention will be described below. As Figure 2 shown, the grounding grid detection device based on image fusion described below can be correspondingly referred to the grounding grid detection method based on image fusion described above.

[0105] A grounding grid detection device based on image fusion, comprising:

[0106] A first detection module 210, configured to measure the voltage of the area to be detected through an electrical impedance imaging sensor to obtain the first detection image of the area to be detected;

[0107] A second detection module 220, configured to perform ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain the second detection image of the area to be detected;

[0108] A third detection module 230, configured to perform infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain the third detection image of the area to be detected;

[0109] An image fusion module 240, configured to perform Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fused image;

[0110] An edge detection module 250, configured to perform edge detection on the grounding grid fused image to obtain an edge image corresponding to the grounding grid fused image;

[0111] An edge strength module 260 for detecting the edge strength of a corrosion area in the edge image, where the edge strength is used to characterize the corrosion degree of the corrosion area.

[0112] Figure 3 Illustrates a schematic diagram of the physical structure of an electronic device, as Figure 3 shown. The electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communication interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call logical instructions in the memory 330 to execute a grounding grid detection method based on image fusion. The method includes:

[0113] Performing voltage measurement on the area to be detected through an electrical impedance tomography sensor to obtain a first detection image of the area to be detected;

[0114] Performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected;

[0115] Performing infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected;

[0116] Performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image;

[0117] Performing edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image;

[0118] Detecting the edge strength of a corrosion area in the edge image, where the edge strength is used to characterize the corrosion degree of the corrosion area.

[0119] In addition, when the logical instructions in the above-mentioned memory 330 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 such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a 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 and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0120] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the grounding grid detection method based on image fusion provided by the above-mentioned various methods. The method includes:

[0121] Through an electrical impedance tomography sensor, voltage measurement is performed on the area to be detected to obtain a first detection image of the area to be detected;

[0122] Through an ultrasonic probe, ultrasonic imaging is performed on the area to be detected to obtain a second detection image of the area to be detected;

[0123] Through an infrared thermal imager, infrared thermal imaging is performed on the area to be detected to obtain a third detection image of the area to be detected;

[0124] Perform Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image;

[0125] Perform edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image;

[0126] Detect the edge intensity of the corrosion area in the edge image, and the edge intensity is used to characterize the corrosion degree of the corrosion area.

[0127] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the grounding grid detection method based on image fusion provided by the above-mentioned various methods. The method includes:

[0128] Voltage measurements are performed on the area to be detected through an electrical impedance tomography sensor to obtain a first detection image of the area to be detected;

[0129] Ultrasonic imaging is performed on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected;

[0130] Infrared thermal imaging is performed on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected;

[0131] Laplacian pyramid fusion is performed on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image;

[0132] Edge detection is performed on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image;

[0133] The edge intensity of the corrosion area in the edge image is detected, and the edge intensity is used to characterize the corrosion degree of the corrosion area.

[0134] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0135] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence, or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A grounding grid detection method based on image fusion, characterized in that Including: Performing voltage measurement on the area to be detected through an electrical impedance tomography sensor to obtain a first detection image of the area to be detected; Performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected; Performing infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected; Performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image; Performing edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image; Detecting the edge intensity of the corrosion area in the edge image, where the edge intensity is used to characterize the corrosion degree of the corrosion area.

2. The method for detecting a grounding grid based on image fusion according to claim 1, wherein Before the step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image, the method further includes: Performing image registration on the first detection image, the second detection image, and the third detection image.

3. The method for detecting a grounding grid based on image fusion according to claim 2, wherein The step of performing image registration on the first detection image, the second detection image, and the third detection image specifically includes: Constructing a key point matrix according to the second-order Gaussian differential values of the first detection image, the second detection image, and the third detection image; Selecting invariant key points in the first detection image, the second detection image, and the third detection image through the key point matrix; Performing image registration on the first detection image, the second detection image, and the third detection image through the invariant key points.

4. The grounding grid detection method based on image fusion according to claim 1, characterized in that The electrical impedance tomography sensor includes a plurality of electrode plates. The step of performing voltage measurement on the area to be detected through the electrical impedance tomography sensor to obtain a first detection image of the area to be detected specifically includes: Arranging a plurality of the electrode plates in the area to be detected; Controlling the electrode plates to inject a preset current into the area to be detected and measuring the voltage signal generated in the area to be detected to obtain a voltage signal; Converting the voltage signal into a first detection image of the area to be detected, where the first detection image characterizes the resistivity distribution of the area to be detected.

5. The method for detecting a grounding grid based on image fusion according to claim 1, wherein The step of performing ultrasonic imaging on the area to be detected through the ultrasonic probe to obtain a second detection image of the area to be detected specifically includes: Transmitting an ultrasonic signal through the ultrasonic probe according to preset parameters; Receiving the ultrasonic signal reflected back in the area to be detected to obtain an echo signal; Converting the echo signal into a second detection image of the area to be detected, where the second detection image characterizes the structural information of the area to be detected.

6. The grounding grid detection method based on image fusion according to claim 1, wherein The step of performing infrared thermal imaging on the area to be detected through the infrared thermal imager to obtain a third detection image of the area to be detected specifically includes: Collecting the infrared radiation emitted by the area to be detected through the infrared thermal imager to obtain an infrared radiation signal; Convert the infrared radiation signal into a third detection image of the area to be detected, where the third detection image characterizes the temperature distribution information of the area to be detected.

7. The method for detecting a grounding grid based on image fusion according to claim 1, wherein The step of performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image specifically includes: Construct Laplacian pyramid representations of the first detection image, the second detection image, and the third detection image respectively; Perform weighted fusion on the corresponding image data at each pyramid level to obtain fused pyramid data; Reconstruct a grounding grid fusion image according to the fused pyramid data.

8. A grounding grid detection device based on image fusion, characterized in that, It includes: A first detection module for measuring the voltage of the area to be detected through an electrical impedance imaging sensor to obtain a first detection image of the area to be detected; A second detection module for performing ultrasonic imaging on the area to be detected through an ultrasonic probe to obtain a second detection image of the area to be detected; A third detection module for performing infrared thermal imaging on the area to be detected through an infrared thermal imager to obtain a third detection image of the area to be detected; An image fusion module for performing Laplacian pyramid fusion on the first detection image, the second detection image, and the third detection image to obtain a grounding grid fusion image; An edge detection module for performing edge detection on the grounding grid fusion image to obtain an edge image corresponding to the grounding grid fusion image; An edge intensity module for detecting the edge intensity of the corrosion area in the edge image, where the edge intensity is used to characterize the corrosion degree of the corrosion area.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the grounding grid detection method based on image fusion according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the grounding grid detection method based on image fusion according to any one of claims 1 to 7.

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