In-service detection method, system, storage medium and program product for gate metal structure

Abstract

The present application provides an in-service detection method, system, storage medium and program product for gate metal structures, which relates to the technical field of in-service detection of gate metal structures. The method includes: obtaining real-time monitoring data uploaded by a high-precision sensor installed at a preset position; controlling the probe of an ultrasonic flaw detector to move along a first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal; then controlling a laser scanner to scan the gate surface along a second preset path to obtain three-dimensional point cloud data on the gate surface, thereby determining the internal defect information and surface defect information of the gate; generating an in-service detection report of the gate based on the real-time monitoring data, internal defect information and surface defect information, and performing a three-dimensional visual display. By implementing this method, real-time monitoring can be performed and the defect information of the gate interior and surface can be automatically obtained, thereby generating an in-service detection report and performing a three-dimensional visual display, thereby improving the accuracy and timeliness of the detection.

Description

Technical Field

[0001] The present application relates to the technical field of in-service detection of gate metal structures, and in particular to an in-service detection method, system, storage medium and program product for gate metal structures. Background Art

[0002] In water conservancy and hydropower projects, gates are crucial structural elements used to control water flow and adjust water levels. The structural safety of gates is directly related to the safe operation of the project and the flood control efficiency. Therefore, regular inspection and maintenance of gates are essential measures.

[0003] In related technologies, gate inspection mainly relies on visual inspection and basic mechanical tests, such as ultrasonic flaw detection, magnetic particle detection, X-ray detection, etc. These methods can detect defects in the gate structure to a certain extent, such as cracks, corrosion, etc. For example, the operator of the ultrasonic flaw detector will move the probe along a specific path and judge the internal condition of the material by analyzing the echo signal.

[0004] However, traditional gate inspection methods usually require inspection when the gate is shut down, so most inspections are done on a regular basis. This is not only inefficient, but also difficult to detect damage defects inside and outside the gate in time during the inspection interval, which poses a safety hazard to the gate. Summary of the invention

[0005] The present application provides a method, system, storage medium and program product for in-service inspection of gate metal structures, which are used to solve the problems of low inspection efficiency and untimely inspection in the traditional gate periodic inspection process.

[0006] In a first aspect, the present application provides an in-service detection method for a gate metal structure, which is applied to a gate detection system. The method comprises: Acquire real-time monitoring data uploaded by high-precision sensors installed at preset locations, the high-precision sensors including laser sensors, acceleration sensors and strain gauges; Controlling the probe of the ultrasonic flaw detector to move along a first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal; Controlling the laser scanner to scan the gate surface along a second preset path to obtain three-dimensional point cloud data of the gate surface, wherein the second preset path is not completely the same as the first preset path; Determine the internal defect information and the surface defect information of the gate respectively according to the echo signal and the three-dimensional point cloud data; An in-service inspection report of the gate is generated based on the real-time monitoring data, internal defect information and surface defect information, and a three-dimensional visual display is performed.

[0007] Through the above embodiments, the gate detection system obtains real-time monitoring data by using high-precision sensors (such as laser sensors, accelerometers and strain gauges), and combines ultrasonic flaw detectors and laser scanners to detect the gate surface along a specific path. It can perform real-time monitoring and automatically obtain defect information inside and on the surface of the gate, and then generate a detailed in-service inspection report and perform a three-dimensional visual display, which enhances the interpretability and intuitiveness of the data and improves the accuracy and timeliness of the detection.

[0008] In some embodiments, before the step of controlling the probe of the ultrasonic flaw detector to move along the first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal, the step further includes: Obtain the effective detection range of the ultrasonic flaw detector probe and the range to be detected on the gate surface; The first preset path is determined according to the effective detection range and the range to be detected, so that the time taken by the probe to detect the range to be detected is the shortest.

[0009] Through the above embodiments, the gate detection system obtains the effective detection range and the range to be detected of the ultrasonic probe, optimizes the detection path of the probe, and minimizes the time the probe covers the area to be detected, thereby improving the detection efficiency.

[0010] In some embodiments, after the step of determining the first preset path according to the effective detection range and the range to be detected so that the probe takes the shortest time to detect the range to be detected, the method further includes: Obtain historical in-service inspection report data within a preset time period; Based on the historical in-service inspection report data, determine the high-risk areas where the gate is prone to damage; The first preset path is adjusted according to the high-risk area so that the high-risk area has at least two angles of echo signals.

[0011] Through the above embodiments, the gate detection system identifies areas of the gate that may have high risk of damage based on historical monitoring data, and ensures that these high-risk areas are fully detected by adjusting the probe detection path, thereby enhancing the targetedness and preventive nature of the detection, and can effectively prevent and promptly discover potential major defects.

[0012] In some embodiments, after the step of acquiring real-time monitoring data uploaded by a high-precision sensor installed at a preset location, the method further includes: Get the current water flow information, including pressure, temperature and pH; Determine a risk level based on the water flow information and the real-time monitoring data, wherein the risk level corresponds to a detection period one by one; The detection cycle of the ultrasonic flaw detector and the laser scanner is determined according to the risk level, and the detection cycle is inversely correlated with the risk level.

[0013] Through the above embodiments, after acquiring sensor data, the gate detection system also acquires information related to water flow (such as pressure, temperature, and pH), and evaluates the risk level based on this information. By adjusting the detection cycle according to the risk level, the detection activities can respond more flexibly to environmental changes and potential risks, thereby improving the safety and predictability of the detection.

[0014] In some embodiments, the step of determining the internal defect information and the surface defect information of the gate respectively according to the echo signal and the three-dimensional point cloud data specifically includes: According to the intensity and time delay of the echo signal, the position and size of the internal defect of the gate are determined, and the internal defect information is generated; Preprocessing and feature extraction of the three-dimensional point cloud data are performed by image processing software to determine the surface features of the gate, wherein the preprocessing includes filtering and denoising, data alignment and normalization; The defect area on the surface of the gate is determined based on the set threshold and identification criteria, and surface defect information is generated.

[0015] Through the above embodiments, the gate detection system processes point cloud data through advanced image processing techniques (such as filtering and denoising, data alignment and normalization) and extracts defect features, making defect detection more accurate and detailed, and improving the quality and reliability of detection data.

[0016] In some embodiments, the step of performing three-dimensional visualization display specifically includes: Generating a three-dimensional model of the gate according to the three-dimensional point cloud data; The real-time monitoring data, the internal defect information and the surface defect information are marked and displayed at corresponding positions of the three-dimensional model.

[0017] Through the above embodiments, the gate detection system generates a three-dimensional model of the gate and marks monitoring data and defect information on the model, so that relevant personnel can intuitively understand complex data and detection results.

[0018] In some embodiments, after the step of generating an in-service inspection report of the gate based on the real-time monitoring data, the internal defect information and the surface defect information, and performing a three-dimensional visual display, the following step is further included: Based on the real-time monitoring data, the internal defect information and the surface defect information, it is determined whether there is a high-risk area exceeding the corresponding preset threshold value; If so, a risk warning is issued and displayed in the three-dimensional model; If not, continue monitoring using high-precision sensors, ultrasonic flaw detectors and laser scanners.

[0019] Through the above embodiments, after generating the detection report and three-dimensional visualization display, the gate detection system further analyzes the data to determine whether there are high-risk areas exceeding the preset threshold, and issues risk warnings accordingly, providing a dynamic risk assessment mechanism that can issue warnings in a timely manner, thereby enhancing the system's responsiveness and the timeliness of preventive measures.

[0020] In a second aspect, the present application provides a gate detection system, the gate detection system comprising: one or more processors and a memory; The memory is coupled to the one or more processors, and is used to store computer program code, which includes computer instructions. The one or more processors call the computer instructions so that the gate detection system can implement a gate metal structure in-service detection method provided in the above embodiment, which will not be repeated here.

[0021] In a third aspect, the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a gate detection system, the gate detection system can implement a gate metal structure in-service detection method provided in the above-mentioned embodiment, which will not be described in detail here.

[0022] In a fourth aspect, the present application provides a computer program product. When the computer program product runs on a gate detection system, the gate detection system can implement a gate metal structure in-service detection method provided in the above embodiment, which will not be repeated here.

[0023] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The gate detection system obtains real-time monitoring data by using high-precision sensors (such as laser sensors, accelerometers and strain gauges), and combines ultrasonic flaw detectors and laser scanners to detect the gate surface along a specific path. It can perform real-time monitoring and automatically obtain defect information inside and on the surface of the gate, and then generate detailed in-service inspection reports to improve the accuracy and timeliness of inspection.

[0024] 2. Through precise calculation and historical data analysis, the detection path of the probe is optimized, which improves the detection efficiency and pertinence. It not only shortens the time required for detection, but also ensures that high-risk areas are monitored, effectively improving the efficiency and safety of the entire detection process. In addition, by using data analysis of the effective detection range and the range to be detected, combined with historical damage data, the probe path is intelligently adjusted to make the detection more systematic and accurate.

[0025] 3. By visually displaying defects and risk areas in a 3D model, complex technical data becomes easy to understand and operate. In addition, dynamic risk assessment can timely adjust the warning threshold and detection frequency based on the latest detection data, providing strong data support for maintenance decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of an in-service detection method of a gate metal structure in an embodiment of the present application; Figure 2 is another flow chart of an in-service detection method for a gate metal structure in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of a physical device of the gate detection system in the embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0028] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0029] For ease of understanding, the following is a flow chart of the method provided in this implementation. Figure 1 The figure is a flow chart of a method for in-service inspection of gate metal structure in an embodiment of the present application.

[0030] S101, obtaining real-time monitoring data uploaded by a high-precision sensor installed at a preset location.

[0031] The gate detection system collects data in real time through a variety of high-precision sensors deployed at key positions of the gate to establish a global dynamic monitoring image of the gate. Among them, the laser sensor can measure the distance and displacement changes on the gate surface in a non-contact manner to monitor the deformation of the gate. For example, by installing laser sensors on both sides of the gate, when the distance between the two sides of the gate changes due to force deformation, the laser sensor can accurately measure this change. In addition, the vibration acceleration of the gate can be measured by installing accelerometers on the gate support structure and welds, or the material strain can be directly measured by strain gauges to reflect the local stress state. For example, when the vibration amplitude of the gate increases abnormally due to water flow impact or frequent opening and closing, the system can promptly detect this abnormality and evaluate the impact of vibration on the integrity of the gate structure through data analysis of accelerometers deployed on the gate panel, support arm and other parts; for another example, the lower support point of a gate is in a high stress state for a long time. By continuously monitoring the strain data at this point, once the strain continues to increase and exceeds the preset threshold, the system will determine that there is a risk of cracking at this point and prompt for repair as soon as possible.

[0032] S102, controlling the probe of the ultrasonic flaw detector to move along a first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal.

[0033] The gate detection system establishes a connection with the ultrasonic flaw detector and uses ultrasonic flaw detection technology to actively detect internal defects of the gate. Specifically, the gate detection system controls the probe of the ultrasonic flaw detector to emit high-frequency sound waves to the gate, and receives the echo generated by the sound waves at the internal defects of the gate to determine the location and size of the defects. In addition, in order to fully cover the key areas of the gate, the system pre-plans the detection path of the probe (i.e., the first preset path). The setting of this path needs to comprehensively consider factors such as the geometric structure of the gate, the distribution law of typical defects, and the detection blind area of ​​the probe. For example, for a plane gate, the probe can be detected in the horizontal and vertical directions respectively, with the horizontal direction focusing on the weld and the vertical direction focusing on the corrosion-prone area. For a curved gate, the probe path also needs to match the gate surface to reduce the detection blind spot. In addition, the path planning should try to avoid the gate's reinforcement ribs, bolt holes and other structures that will hinder the propagation of sound waves, which are not limited here.

[0034] Furthermore, relevant technical personnel can construct a moving track of the ultrasonic flaw detector according to the first preset path, and control the probe of the ultrasonic flaw detector to perform ultrasonic detection along the track of the first preset path through an electric drive device.

[0035] It is understandable that after the gate detection system controls the probe to transmit ultrasonic waves to the gate, it can determine the defect information inside the gate based on the corresponding echo signal. For example, the return time of the echo signal reflects the burial depth of the defect, the echo amplitude corresponds to the size of the defect, and multiple echoes reflect the shape of the defect. By decoding and analyzing the various parameters of the echo signal, the gate detection system can perform qualitative and quantitative evaluations on the type, location, size, and shape of internal defects.

[0036] S103, controlling the laser scanner to scan the gate surface along a second preset path to obtain three-dimensional point cloud data of the gate surface.

[0037] The gate detection system establishes a connection with the laser scanner and controls the laser scanner to obtain the three-dimensional morphological data of the gate surface. Specifically, the gate detection system controls the laser scanner to emit a laser beam and receive its reflection on the gate surface to measure the distance, and at the same time cooperates with a precise angle measurement device to obtain the spatial coordinates of each sampling point, and finally forms a three-dimensional point cloud model of the gate surface. In addition, similar to the ultrasonic flaw detection path (first preset path), the planning of the scanning path "second preset path" also needs to comprehensively consider the gate structure and scanning efficiency, but due to the different working principles and applicable scenarios of laser scanners and ultrasonic flaw detectors, the two paths are not completely consistent, and are not limited here.

[0038] It is understandable that the gate detection system can extract gate surface defect information from the laser point cloud data. For example, by comparing the constructed 3D point cloud model with the ideal model, the undulation distribution of the gate surface can be calculated, and then the deformation state of the gate can be determined; the loss rate of gate surface material can be quantified and the aging degree of the gate can be evaluated through the difference analysis of the scanning results at different periods; and the color information of the point cloud can also distinguish rust, cracks and other subtle damages that are difficult to detect with the naked eye.

[0039] S104, determining the internal defect information and the surface defect information of the gate respectively according to the echo signal and the three-dimensional point cloud data.

[0040] The gate detection system conducts in-depth qualitative and quantitative analysis on the flaw detection data (i.e., echo signals) and scanning data (i.e., three-dimensional point cloud data), and ultimately forms the gate defect diagnosis results.

[0041] Specifically, for ultrasonic echo signals, the gate detection system identifies key parameters that reflect defect characteristics, such as echo amplitude, frequency, phase, etc., and compares them with standard parameters. The system can infer internal defect information such as defect type, location, size, and shape. For example, high-amplitude, low-frequency echoes usually correspond to larger solid defects such as incomplete welding; clustered echoes with obvious differences in flight time suggest the presence of cracks; and messy echoes with a wide distribution range and obvious changes in reflection coefficients may be caused by uneven material organization. In addition, the system can also evaluate the remaining life of the gate by tracking the expansion trend of defects within a preset time period.

[0042] For three-dimensional point cloud data, the gate detection system can measure the global geometric dimensions of the gate with high precision and quantify the degree of deformation of the gate through point cloud model reconstruction. It can also detect and identify various performance degradation signs such as rust, cracks, erosion, and wear on the gate surface by extracting the color, texture and other features of the point cloud. By establishing a finite element simulation model for the gate surface, it can also analyze the force response of these defects under dynamic conditions such as water flow impact, and then predict the development trend of the defects.

[0043] S105. Generate an in-service inspection report of the gate based on the real-time monitoring data, internal defect information and surface defect information, and perform a three-dimensional visual display.

[0044] The gate inspection system integrates various inspection data, including real-time monitoring data, internal defect information and surface defect information, to form an in-service inspection report, which provides a decision-making reference for the maintenance and management of the gate. Among them, the in-service inspection report can record in detail the various performance parameters of the gate and their changing trends in the form of text, tables, etc., such as the statistical values ​​of monitoring indicators such as strain, vibration, displacement, and the number, distribution, and level of internal and external defects; it can also convert massive inspection data into vivid three-dimensional visualization scenes to intuitively display the defect distribution map and health thermodynamic map of the gate.

[0045] For example, the gate detection system can build a high-precision three-dimensional solid model of the gate based on laser point cloud data and mark various defects at the corresponding positions. When the user selects a specific defect, the system will display the ultrasonic flaw detection map of the defect and recommend the corresponding crack propagation simulation animation. For example, when the system detects that the strain level in a certain area is close to the dangerous threshold, the visualization interface will automatically render the area in red and pop up an alarm prompt. At the same time, it will simulate possible damage scenarios in the three-dimensional model to prompt maintenance measures that need to be taken urgently.

[0046] In the above embodiment, the gate detection system obtains real-time monitoring data by using high-precision sensors (such as laser sensors, accelerometers and strain gauges), and combines ultrasonic flaw detectors and laser scanners to detect the gate surface along a specific path. It can perform real-time monitoring and automatically obtain defect information inside and on the surface of the gate, and then generate a detailed in-service inspection report and perform a three-dimensional visual display, which enhances the interpretability and intuitiveness of the data and improves the accuracy and timeliness of the detection.

[0047] The following is a more detailed description of the process of the method provided by this embodiment. Figure 2 As shown, it is another flow chart of a method for in-service detection of gate metal structure in an embodiment of the present application.

[0048] S201. Acquire real-time monitoring data and current water flow information uploaded by a high-precision sensor installed at a preset location.

[0049] The gate detection system obtains real-time monitoring data from high-precision sensors pre-installed at key positions of the gate, and also obtains current water flow information, including parameters such as water flow pressure, temperature, and pH. The water flow information can be obtained through special water quality monitoring equipment, or data can be shared with the hydrological department. The method for obtaining real-time monitoring data has been explained in step S101 and will not be repeated here.

[0050] S202. Determine the risk level based on water flow information and real-time monitoring data.

[0051] After obtaining real-time monitoring data and water flow information, the gate detection system analyzes and evaluates the risk level currently faced by the gate. Among them, the risk level assessment is based on preset rules. Specifically, relevant technical experts first formulate a set of risk determination rules and thresholds based on engineering experience and industry standards. For example, the initial risk level is set to "normal". When the water pressure exceeds 80% of the design value, the risk level is automatically increased by one level (low risk); when the strain value exceeds the warning line, the risk level is increased by two levels (high risk), etc. On this basis, the risk level of the numerical combination range corresponding to different water flow information and real-time monitoring data can also be set, which is not limited here.

[0052] It is understandable that parameters such as water flow pressure, temperature and pH directly affect the stress condition and corrosion rate of the gate. For example, high water pressure will aggravate the deformation and fatigue damage of the gate, while water with low pH value will accelerate the electrochemical corrosion of metal. Secondly, the sensor data reflects the actual health status of the gate. If there is obvious deformation, vibration or stress abnormality, it means that the gate may have structural defects or damage. In addition, static information such as the service life of the gate and historical maintenance records will also affect the health status of the gate.

[0053] S203. Determine the inspection cycle of the ultrasonic flaw detector and the laser scanner according to the risk level.

[0054] After determining the risk level of the gate, the gate detection system formulates a detailed inspection plan accordingly. Specifically, under normal circumstances, gate inspections usually follow a fixed time plan, such as ultrasonic flaw detection and laser scanning once a week. However, when the risk level increases, the inspection cycle is shortened accordingly. The system can preset a detection cycle threshold table to associate the risk level with the inspection frequency. For example, when the risk level is low risk, the ultrasonic flaw detection cycle may be shortened to once every 5 days; when the risk level is medium risk, the laser scanning cycle may be shortened to once every 3 days. If the risk level reaches high risk, it can be set to perform a comprehensive inspection every day or every few hours.

[0055] In the above embodiment, after acquiring sensor data, the gate detection system also acquires information related to water flow (such as pressure, temperature, and pH), and evaluates the risk level based on this information. Adjusting the detection cycle according to the risk level enables detection activities to respond more flexibly to environmental changes and potential risks, thereby improving the safety and predictability of detection.

[0056] S204: Obtain the effective detection range of the ultrasonic flaw detector probe and the range to be detected on the gate surface.

[0057] Specifically, the gate detection system obtains the effective detection range of the probe used by consulting the equipment parameters or measured data. For example, a certain type of probe may only be able to detect defects within 20 centimeters in the depth direction, and may only cover a 30-degree sector area in the angle direction. In addition, the range of the gate surface to be inspected depends on the geometric dimensions of the gate and the distribution of key areas. For example, a gate that is 10 meters wide and 5 meters high has a total surface area of ​​100 square meters (including the front and back surfaces). However, considering the characteristics of stress and corrosion, some areas (such as welds, water surfaces, etc.) have a higher risk of defects and need to be inspected in detail; while some areas (such as the middle of the gate) have a lower probability of defects, and the inspection density can be relatively reduced. Among them, the collection of all areas that need to be inspected is the range of the gate surface to be inspected.

[0058] S205 , determining a first preset path according to the effective detection range and the range to be detected, so that the time taken by the probe to detect the range to be detected is the shortest.

[0059] After obtaining the two key parameters of the effective detection range of the probe and the range of the gate to be detected, the gate detection system can further optimize the detection path based on the traveling salesman problem (TSP) algorithm to achieve full coverage of the range to be detected in the shortest time.

[0060] Specifically, the gate detection system calculates the optimal probe detection position distribution based on the effective detection range of the probe and the range of the gate to be detected, that is, using the least number of probes to cover the largest area to be detected; secondly, the system searches for a path with the shortest total moving time between these detection positions as the actual movement trajectory of the probe (the first preset path).

[0061] S206: Obtain historical in-service inspection report data within a preset time period.

[0062] The gate detection system reads historical detection report data within a certain time range (such as the past year) from a database or storage device. These data include the regular inspection results of the gates over the past period of time, and record the status information of various parts of the gates, such as the integrity of the internal materials, the degree of wear of the surface coating, etc. By analyzing the data change trend over a period of time, the weak points that are prone to problems during the long-term use of the gates can be predicted.

[0063] S207. Determine high-risk areas where gates are prone to damage based on historical in-service inspection report data.

[0064] The gate detection system determines the change trend of each data parameter based on the historical in-service inspection report data within a preset time period (such as 1 year), and then combines the preset thresholds corresponding to each data parameter to obtain the high-risk area on the gate where damage may occur first.

[0065] In the above embodiment, the gate detection system identifies areas of the gate that may have high risk of damage based on historical monitoring data, and ensures that these high-risk areas are fully detected by adjusting the probe detection path, thereby enhancing the targeted and preventive nature of the detection, and can effectively prevent and promptly detect potential major defects.

[0066] S208. Adjust the first preset path according to the high-risk area so that the high-risk area has at least two angles of echo signals.

[0067] After identifying the high-risk area, the gate detection system dynamically optimizes and adjusts the first preset path in step S203 so that the ultrasonic probe can detect the high-risk area from at least two different angles. Specifically, the detection system will input information such as the coordinate position of the high-risk area into the path planning module of the system, and solve an optimal path through intelligent algorithms (such as A* algorithms, genetic algorithms, etc.) so that the probe can complete a multi-angle scan of the high-risk area in the shortest time. At the same time, the system will also consider the physical characteristics of the probe (such as the size, shape, beam width, etc. of the probe) to calculate the optimal incident angle to achieve the ideal acoustic wave coupling effect. In the actual detection process, the system controls the speed and trajectory of the probe motion platform to ensure that the detection task is performed strictly according to the optimized path.

[0068] S209. Determine the location and size of the internal defects of the gate based on the intensity and time delay of the echo signal, and generate internal defect information.

[0069] After the ultrasonic probe completes the scanning of the gate according to the optimized path, the gate detection system analyzes and processes the collected echo signal data. By measuring the amplitude strength and time delay of the echo signal, the system can infer the reflection of the sound wave when it encounters a defect during the propagation inside the gate. Among them, the larger the signal amplitude, the larger the defect size; and the length of the time delay reflects the depth of the defect from the gate surface. Using this information, the gate detection system uses professional ultrasonic data interpretation software to perform three-dimensional imaging and positioning of the specific location and size of the defect. According to parameters such as material sound velocity, probe frequency, and sound path, the time-space coordinate mapping relationship of the sound wave path is established, and the time information in the echo signal is converted into spatial distance. At the same time, the system can also improve the signal-to-noise ratio of the defect echo by applying signal enhancement, noise suppression and other technologies, so that it can stand out from the background signal as much as possible, so that the system can finally generate a detailed internal defect report and identify key information such as the three-dimensional coordinates, size, and shape characteristics of each defect.

[0070] S210, obtaining three-dimensional point cloud data of the gate surface through a laser scanner.

[0071] The gate detection system uses a laser scanner to scan the gate surface along a preset path. The laser scanner emits a laser beam, which is received by the receiver after being reflected on the gate surface. By measuring the time delay and angle deviation of the reflected laser, the three-dimensional coordinates of the laser click position can be calculated. Through continuous and rapid scanning, the scanner can obtain high-density three-dimensional point cloud data on the gate surface. These point cloud data accurately record the geometric shape characteristics of the gate surface.

[0072] S211. Preprocess and extract features of the three-dimensional point cloud data using image processing software to determine the surface features of the gate.

[0073] After obtaining the original point cloud data, the gate detection system uses professional point cloud processing software to perform a series of pre-processing operations on the data, including noise removal, data smoothing, alignment and splicing, to improve data quality. Afterwards, the system analyzes the point cloud data through feature extraction algorithms to identify key features of the gate surface, such as planes, edges, holes, protrusions, etc. The spatial distribution of these geometric features can reflect the overall shape and local details of the gate surface.

[0074] For example, the gate detection system uses deep learning-based point cloud semantic segmentation technology to classify and mark gate point cloud data according to different structural elements. The system uses a trained 3D convolutional neural network model to input a large number of gate point cloud samples and annotate feature categories, so that the model can automatically identify the characteristic composition of the gate. The application of this model can quickly and accurately divide the messy point cloud data into different components such as gate panels, support frames, transmission devices, etc., and extract the key geometric feature parameters of each component.

[0075] S212: Determine the defect area on the surface of the gate based on the set threshold and identification standard, and generate surface defect information.

[0076] After extracting the gate surface features, the gate detection system evaluates and screens the feature parameters according to the preset defect judgment criteria, identifies abnormal areas, and defines the defect range. Gate surface defects include but are not limited to rust, cracks, deformation, wear, etc. The system sets thresholds for indicators such as size, shape, and texture, and combines the defect patterns in the expert knowledge base to automatically locate and classify defect areas. The located defect areas, together with the location and type information, form complete surface defect information data.

[0077] In the above embodiment, the gate detection system processes point cloud data through advanced image processing techniques (such as filtering and denoising, data alignment and normalization) and performs defect feature extraction, so that defect detection is more accurate and detailed, and the quality and reliability of the detection data are improved.

[0078] S213, generating a three-dimensional model of the gate based on the three-dimensional point cloud data.

[0079] Using the acquired gate surface point cloud data, the gate detection system generates a high-precision 3D model of the gate through 3D reconstruction technology. The 3D model forms the geometric entity and surface mesh of the gate by connecting and fitting the point cloud data.

[0080] S214, marking and displaying the real-time monitoring data, internal defect information and surface defect information at corresponding positions of the three-dimensional model.

[0081] The gate detection system associates and maps various monitoring data obtained with the gate three-dimensional model, and displays them visually in the form of eye-catching marks at the corresponding positions of the model. Among them, real-time monitoring data such as vibration, deformation, and temperature and humidity environmental parameters are bound to the model using icons of different colors or numerical annotations. The defect location, type, and size information obtained by internal defect detection are embedded in the gate cross-sectional view in the form of semi-transparent highlighted areas. For surface defects, the system renders defect patches on the surface of the three-dimensional model according to the regional range, and pops up a defect information box for viewing.

[0082] In the above embodiment, the gate detection system generates a three-dimensional model of the gate and marks monitoring data and defect information on the model, so that relevant personnel can intuitively understand complex data and detection results.

[0083] S215: Determine whether there is a high-risk area that exceeds a corresponding preset threshold.

[0084] The gate detection system can be built with a set of scientific and reasonable risk assessment standards developed by relevant technical personnel, and set corresponding danger thresholds for different types of defects (such as cracks, corrosion, deformation, etc.). For example, for cracks, the severity can be determined based on parameters such as the length, depth, and location of the cracks; and for corrosion, it can be measured based on indicators such as corrosion area and corrosion depth.

[0085] Next, the system compares the defect data detected in each area with the preset threshold. If the defect parameters of a certain area exceed the corresponding threshold, the area will be marked as a high-risk area. For example, if a crack longer than 10 cm and deeper than 1 cm is detected at a weld, and the danger threshold of this type of crack is set to "longer than 5 cm and deeper than 0.5 cm", the weld will be judged as a high-risk area.

[0086] In addition, in practical applications, the system can also use existing algorithm models for risk judgment, such as support vector machine (SVM), random forest, etc. These algorithms can automatically learn the corresponding relationship between defect characteristics and risk levels by training a large amount of historical detection data, so as to make more accurate judgments. At the same time, the setting of thresholds can also be dynamically adjusted according to the accumulated data to adapt to the characteristics of different gates and environmental factors. No limitation is made here.

[0087] S216. Conduct risk warning and display the warning in a three-dimensional model.

[0088] When the gate detection system identifies a high-risk area that exceeds the threshold, the risk warning mechanism will be activated. During the warning process, the system will first send alarm information to management and technical personnel at different levels according to the level of risk. The alarm information contains key information such as the specific location of the risk area, defect type, and degree of danger, so that relevant personnel can check and deal with it as soon as possible. The system can also send alarms through multiple channels such as SMS, email, and APP push to ensure timely communication of information.

[0089] In addition to sending alarm information, the system also directly displays the risk area in the 3D model of the gate. By marking the corresponding position of the model in red or flashing, relevant personnel can quickly and accurately locate the problem area.

[0090] S217. Continue to use high-precision sensors, ultrasonic flaw detectors and laser scanners for monitoring.

[0091] After completing risk assessment and early warning, the gate detection system will not stop detecting, but will continue to monitor using various high-precision equipment to identify new gate damage problems in a timely manner.

[0092] In the above embodiment, after generating the detection report and three-dimensional visualization display, the gate detection system further analyzes the data to determine whether there are high-risk areas exceeding the preset threshold, and issues risk warnings accordingly, providing a dynamic risk assessment mechanism that can issue warnings in a timely manner, thereby enhancing the system's responsiveness and the timeliness of preventive measures.

[0093] The gate detection system of the embodiment of the present invention is an electronic device. Figure 3 A schematic diagram of the architecture of an electronic device suitable for implementing an embodiment of the present invention is shown.

[0094] It should be noted that Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0095] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by instructions (computer programs), or by controlling related hardware through instructions (computer programs), and the instructions can be stored in a computer-readable storage medium and loaded and executed by a processor. The electronic device of this embodiment includes a storage medium and a processor, wherein a plurality of instructions are stored in the storage medium, and the instructions can be loaded by the processor to execute any step of the method provided in the embodiment of the present invention.

[0096] Specifically, the storage medium and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, these elements can be electrically connected to each other through one or more signal lines. The storage medium stores computer execution instructions for implementing the data access control method, including at least one software function module that can be stored in the storage medium in the form of software or firmware. The processor executes various functional applications and data processing by running the software program and module stored in the storage medium. The storage medium can be, but is not limited to, random access storage medium (Random Access Memory, referred to as: RAM), read-only storage medium (Read Only Memory, referred to as: ROM), programmable read-only storage medium (Programmable Read-Only Memory, referred to as: PROM), erasable read-only storage medium (Erasable Programmable Read-Only Memory, referred to as: EPROM), electrically erasable read-only storage medium (Electric Erasable Programmable Read-Only Memory, referred to as: EEPROM), etc. Among them, the storage medium is used to store programs, and the processor executes the program after receiving the execution instruction.

[0097] Furthermore, the software programs and modules in the above-mentioned storage medium may also include an operating system, which may include various software components and / or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components. The processor may be an integrated circuit chip having signal processing capabilities. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc., which may implement or execute the various methods, steps, and logic flow diagrams disclosed in this embodiment. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0098] Since the instructions stored in the storage medium can execute the steps in any method provided in the embodiments of the present invention, the beneficial effects of any method provided in the embodiments of the present invention can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0099] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A gate metal structure in-service detection method, applied to a gate detection system, characterized in that: The method comprises: Acquire real-time monitoring data uploaded by high-precision sensors installed at preset locations, wherein the high-precision sensors include laser sensors, acceleration sensors, and strain gauges; Controlling the probe of the ultrasonic flaw detector to move along a first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal; Controlling the laser scanner to scan the gate surface along a second preset path to obtain three-dimensional point cloud data of the gate surface, wherein the second preset path is not completely the same as the first preset path; Determining internal defect information and surface defect information of the gate respectively according to the echo signal and the three-dimensional point cloud data; An in-service inspection report of the gate is generated based on the real-time monitoring data, internal defect information and surface defect information, and a three-dimensional visual display is performed.

2. The method according to claim 1, characterized in that Before the step of controlling the probe of the ultrasonic flaw detector to move along the first preset path on the gate surface and emit ultrasonic waves to obtain an echo signal, the step further includes: Obtaining the effective detection range of the ultrasonic flaw detector probe and the range to be detected on the gate surface; The first preset path is determined according to the effective detection range and the range to be detected, so that the time taken by the probe to detect the range to be detected is minimized.

3. The method according to claim 2, characterized in that After the step of determining the first preset path according to the effective detection range and the range to be detected so that the time taken by the probe to detect the range to be detected is the shortest, the method further includes: Obtain historical in-service inspection report data within a preset time period; Determine high-risk areas where gates are prone to damage based on the historical in-service inspection report data; The first preset path is adjusted according to the high-risk area so that the high-risk area has at least two angles of echo signals.

4. The method according to claim 1, characterized in that: After the step of acquiring the real-time monitoring data uploaded by the high-precision sensor installed at the preset position, the method further includes: Obtaining current water flow information, wherein the water flow information includes pressure, temperature, and pH; Determine a risk level according to the water flow information and the real-time monitoring data, wherein the risk level corresponds to a detection period one by one; The detection period of the ultrasonic flaw detector and the laser scanner is determined according to the risk level, and the detection period is inversely correlated with the risk level.

5. The method according to claim 1, characterized in that The step of respectively determining the internal defect information and the surface defect information of the gate based on the echo signal and the three-dimensional point cloud data specifically includes: Determine the position and size of the internal defect of the gate according to the intensity and time delay of the echo signal, and generate internal defect information; Preprocessing and feature extraction of the three-dimensional point cloud data by image processing software to determine the surface features of the gate, wherein the preprocessing includes filtering and denoising, data alignment and normalization; The defective area on the surface of the gate is determined based on the set threshold and identification criteria, and surface defect information is generated.

6. The method according to claim 1, characterized in that The step of performing three-dimensional visualization display specifically includes: Generating a three-dimensional model of the gate according to the three-dimensional point cloud data; The real-time monitoring data, the internal defect information and the surface defect information are marked and displayed at corresponding positions of the three-dimensional model.

7. The method according to claim 1, characterized in that After the step of generating the in-service inspection report of the gate according to the real-time monitoring data, the internal defect information and the surface defect information, and performing a three-dimensional visual display, the method further includes: Determine whether there is a high-risk area exceeding a corresponding preset threshold value based on the real-time monitoring data, the internal defect information, and the surface defect information; If so, a risk warning is issued and the warning is displayed in the three-dimensional model; If not, continue monitoring using high-precision sensors, ultrasonic flaw detectors and laser scanners.

8. A gate detection system, characterized in that: The gate detection system includes: one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, wherein the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the gate detection system to execute the method according to any one of claims 1 to 7.

9. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on a gate detection system, the gate detection system is caused to execute the method as claimed in any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product runs on a gate detection system, the gate detection system is enabled to perform the method according to any one of claims 1 to 7.

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