Intelligent detection method for anti-corrosion layer of pressure pipeline

Abstract

The invention provides an intelligent detection method for an anticorrosive coating of a pressure pipeline, a transmitter, an auxiliary positioner and a detector are respectively provided with a bidirectional ToF ranging module, the transmitter, the auxiliary positioner and the detector are connected through a wireless module, the transmitter is provided with an AI module and a storage module, the detector is provided with a signal detection module and a positioning module, and the wireless module is connected with the AI module. The detector is provided with a map drawing mode, a navigation mode and a damage point positioning mode, the transmitter is connected with a pipeline and transmits current signals with fixed frequency, the detector is used for collecting and receiving the signals, the auxiliary positioning device is fixed at the position far away from the transmitter, and the distance A and the distance C between the position of the transmitter and the auxiliary positioning device and the detector are measured. The distance between the detector and the auxiliary positioning device is B. A triangulation positioning method is adopted to construct a regional map for positioning the position of the detector, and then the working mode of the detector is switched to complete the detection of the damaged point of the pipeline anticorrosive coating, so that the pipeline detection efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of pipeline detection, and particularly relates to an intelligent detection method for the anti-corrosion coating of pressure pipelines. Background Art

[0002] Pressure pipes are used to transport oil and gas energy, and their material is steel. However, in complex underground environments, buried steel pipelines are vulnerable to corrosion threats from multiple factors. Corrosive components such as hydrogen sulfide, chloride salts, and moisture in the soil medium will undergo electrochemical reactions and chemical corrosion with the metal pipe body. This continuous corrosion will cause the wall thickness of the pipe to gradually thin, and in severe cases, penetrative defects may form, leading to medium leakage and even deflagration accidents. As the core element of the pipeline protection system, the core function of the anti-corrosion coating is to form a physical isolation barrier to effectively block the contact between the pipe body and the corrosive medium in the soil environment.

[0003] The electromagnetic detection method and ultrasonic detection method commonly used in the current industry have significant technical limitations: First, the detection range is limited by the technical principle and it is difficult to achieve long-distance continuous detection; second, the detection resolution of existing equipment is insufficient, and the recognition sensitivity to micron-level damage and early corrosion defects is relatively low. As a result, it is impossible to comprehensively and accurately evaluate the anti-corrosion coating status of the entire pipeline system. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent detection method for the anti-corrosion coating of pressure pipelines to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent detection method for the anti-corrosion coating of pressure pipelines, including a transmitter, an auxiliary locator, and a detector. The transmitter, the auxiliary locator, and the detector are all provided with a two-way ToF ranging module. The transmitter, the auxiliary locator, and the detector are all connected through a wireless module. The transmitter is provided with an AI module and a storage module. The detector is provided with a signal detection module and a positioning module. The detector has 3 working modes: map drawing mode, navigation mode, and break point positioning mode;

[0006] S1: Connect the transmitter to the pipeline, fix the auxiliary locator at a position far from the transmitter, and start the auxiliary locator;

[0007] S2: The transmitter calculates the distance A between it and the auxiliary locator through the two-way ToF ranging module;

[0008] S3: Enable the detector in the mapping mode, use the peak method to determine the pipeline position, insert the detector's foot peg into the ground every 1 - 1.5 meters along the pipeline direction, press the acquisition button of the detector. The detector calculates the distance B between it and the auxiliary locator through the bidirectional ToF ranging module, and simultaneously acquires the received signal through the signal detection module. The detector sends the distance B and the received signal to the transmitter through the wireless module;

[0009] S4: The transmitter receives the distance B and the received signal sent by the detector. The transmitter calculates the distance C between it and the detector through the bidirectional ToF ranging module, and stores the distance A, distance B, distance C and the received signal into the storage module;

[0010] S5: The AI module reads the data in the storage module, and through AI intelligent calculation, obtains the preliminary position of the pipeline anticorrosion layer break point and constructs a regional map;

[0011] S6: Enable the detector in the navigation mode. The transmitter sends the preliminary position of the pipeline anticorrosion layer break point, the regional map and the distance A to the detector through the wireless module. The detector calculates the distance C between it and the transmitter in real time through the bidirectional ToF ranging module. The detector calculates the distance B between it and the auxiliary locator in real time through the bidirectional ToF ranging module. The positioning module calculates the position of the detector in the regional map in real time according to the preliminary position, the regional map, the distance A, the distance B and the distance C, and moves the detector to the preliminary position by moving;

[0012] S7: Enable the detector in the break point positioning mode. With the preliminary position as the center, insert the detector's foot peg on both sides of the preliminary position along the pipeline length direction respectively. Obtain the received signal through the signal detection module and compare it using the peak method to determine the position of the pipeline anticorrosion layer break point.

[0013] Preferably, S5 further includes: If the preliminary position of the pipeline anticorrosion layer break point calculated by the AI module is equal to zero, a detection - passed prompt sound signal is emitted, otherwise a warning prompt sound is emitted.

[0014] Preferably, S1 further includes: Initially determine the direction of the pipeline to be measured. The included angle range between the line L connecting the transmitter and the auxiliary locator and the pipeline direction is 45° - 135°, and the distance between the transmitter and the auxiliary locator is 5 - 10 meters.

[0015] Preferably, the detector is provided with a depth detection module. S7 further includes: After determining the position of the pipeline anticorrosion layer break point, the depth detection module obtains the buried depth of the pipeline.

[0016] Preferably, a horizontal detection module is built into the detector. S3 further includes: after inserting the feet of the detector into the ground, the horizontal detection module detects the horizontal state of the detector. If the detector is not in a horizontal state, the acquisition button function of the detector is locked, and a warning prompt sound is emitted.

[0017] An intelligent detection system for the anticorrosion layer of a pressure pipeline, which uses the method described above;

[0018] The transmitter, the auxiliary locator, and the detector are all built with a bidirectional ToF ranging module and a wireless communication module, and the three realize data transmission through the wireless communication module;

[0019] The transmitter is also integrated with an AI module and a storage module, which are used to receive and store the distance data and signal detection data sent by the detector, and calculate the preliminary position of the damaged point of the pipeline anticorrosion layer and construct a regional map through the AI module;

[0020] The detector includes a signal detection module, a positioning module, a horizontal detection module, and a depth detection module, and is configured with a map drawing mode, a navigation mode, and a damaged point positioning mode;

[0021] In the map drawing mode, the detector combines the ranging data of the auxiliary locator and the transmitter through the bidirectional ToF ranging module, and combines the pipeline signals collected by the signal detection module to generate pipeline path information;

[0022] In the navigation mode, the detector dynamically calculates its own position according to the preliminary position of the damaged point, the regional map, and the real-time bidirectional ToF ranging data sent by the transmitter, and navigates to the target area;

[0023] In the damaged point positioning mode, the detector accurately locates the damaged point based on the peak comparison method of the signal detection module, and obtains the buried depth of the pipeline through the depth detection module.

[0024] Compared with the prior art, the beneficial effects of the present invention are:

[0025] In the present invention, the transmitter is connected to the pipeline and emits a current signal with a fixed frequency. The detector is used to collect the received signal. The auxiliary locator is fixed at a position far from the transmitter. By measuring the distance A between the transmitter and the auxiliary locator, the distance B between the detector and the auxiliary locator, and the distance C between the transmitter and the auxiliary locator, the triangulation method is used to construct a regional map for positioning the position of the detector. Then, by switching the working mode of the detector, the detection of the damaged point of the pipeline anticorrosion layer is completed, improving the pipeline detection efficiency and the accuracy of pipeline detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the implementation layout of the present invention.

[0027] Labels in the figure: Transmitter 1, auxiliary locator 2, detector 3. Detailed implementation mode

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0029] Embodiment 1:

[0030] As Figure 1, an intelligent detection method for the anti-corrosion layer of a pressure pipeline provided by the present invention includes a transmitter 1, an auxiliary locator 2, and a detector 3. The transmitter 1, the auxiliary locator 2, and the detector 3 are all provided with a bidirectional ToF ranging module. The transmitter 1, the auxiliary locator 2, and the detector 3 are all connected through a wireless module. The transmitter 1 is provided with an AI module and a storage module. The detector 3 is provided with a signal detection module and a positioning module. The detector 3 is provided with 3 working modes: a map drawing mode, a navigation mode, and a break point positioning mode; S1: Connect the transmitter 1 to the pipeline, fix the auxiliary locator at a position far from the transmitter 1, and start the auxiliary locator 2; S2: The transmitter 1 calculates the distance A between it and the auxiliary locator 2 through the bidirectional ToF ranging module; S3: Enable the map drawing mode of the detector 3, use the peak method to determine the position of the pipeline, and insert the foot nails of the detector 3 into the ground every 1 - 1.5 meters along the direction of the pipeline. Press the acquisition button of the detector 3. The detector 3 calculates the distance B between it and the auxiliary locator 2 through the bidirectional ToF ranging module, and at the same time collects the received signal through the signal detection module. The detector 3 sends the distance B and the received signal to the transmitter 1 through the wireless module; S4: After receiving the distance B and the received signal sent by the detector 3, the transmitter 1 calculates the distance C between it and the detector 3 through the bidirectional ToF ranging module, and stores the distance A, the distance B, the distance C, and the received signal in the storage module; S5: The AI module reads the data in the storage module, and through AI intelligent calculation, obtains the preliminary position of the break point of the pipeline anti-corrosion layer and constructs a regional map; S6: Enable the navigation mode of the detector 3. The transmitter 1 sends the preliminary position of the break point of the pipeline anti-corrosion layer, the regional map, and the distance A to the detector 3 through the wireless module. The detector 3 calculates the distance C between it and the transmitter 1 in real time through the bidirectional ToF ranging module. The detector 3 calculates the distance B between it and the auxiliary locator 2 in real time through the bidirectional ToF ranging module. The positioning module calculates the position of the detector 3 in the regional map in real time according to the preliminary position, the regional map, the distance A, the distance B, and the distance C, and moves the detector 3 to the preliminary position by moving; S7: Enable the break point positioning mode of the detector 3. With the preliminary position as the center, insert the foot nails of the detector 3 on both sides of the preliminary position along the length direction of the pipeline respectively, obtain the received signal through the signal detection module and compare it using the peak method to determine the position of the break point of the pipeline anti-corrosion layer. S5 further includes: If the preliminary position of the break point of the pipeline anti-corrosion layer calculated by the AI module is equal to zero, a detection passed prompt sound signal is emitted, otherwise a warning prompt sound is emitted. S1 further includes: Initially determining the trend of the pipeline to be measured. The included angle range between the connection line L between the transmitter 1 and the auxiliary locator and the pipeline trend is 45° - 135°, and the distance between the transmitter 1 and the auxiliary locator is 5 - 10 meters. The detector 3 is provided with a depth detection module. S7 further includes: After determining the position of the break point of the pipeline anti-corrosion layer, the depth detection module obtains the buried depth of the pipeline.The detector 3 is built-in with a horizontal detection module. S3 also includes: after inserting the foot of the detector 3 into the ground, the horizontal detection module detects the horizontal state of the detector 3. If the detector 3 is not in a horizontal state, the function of the acquisition button of the detector 3 is locked, and a warning prompt sound is emitted.

[0031] An intelligent detection system for the anti-corrosion layer of pressure pipelines uses the above detection method; the transmitter 1, the auxiliary locator 2, and the detector 3 are all built-in with two-way ToF ranging modules and wireless communication modules, and the three realize data transmission through the wireless communication modules; the transmitter 1 is also integrated with an AI module and a storage module, which are used to receive and store the distance data and signal detection data sent by the detector 3, and calculate the preliminary position of the damaged point of the pipeline anti-corrosion layer and construct a regional map through the AI module; the detector 3 includes a signal detection module, a positioning module, a horizontal detection module, and a depth detection module, and is configured with a map drawing mode, a navigation mode, and a damaged point positioning mode; in the map drawing mode, the detector 3 combines the ranging data of the two-way ToF ranging module with the auxiliary locator 2 and the transmitter 1, and combines the pipeline signals collected by the signal detection module to generate pipeline path information; in the navigation mode, the detector 3 dynamically calculates its own position according to the preliminary position of the damaged point, the regional map, and the real-time two-way ToF ranging data sent by the transmitter 1 and navigates to the target area; in the damaged point positioning mode, the detector 3 accurately locates the damaged point based on the peak comparison method of the signal detection module and obtains the buried depth of the pipeline through the depth detection module.

[0032] Through the above technical solution, the present invention connects the transmitter 1 to the pipeline and emits a current signal with a fixed frequency, uses the detector 3 to collect the received signal, fixes the auxiliary locator 2 at a position far from the transmitter 1, and measures the distance A between the position of the transmitter and the auxiliary locator 2, the distance B between the detector 3 and the auxiliary locator 2, and the distance C between the transmitter 1 and the auxiliary locator 2, and uses the triangulation method to construct a regional map for positioning the position of the detector 3, and then completes the detection of the damaged point of the pipeline anti-corrosion layer by switching the working mode of the detector 3, improving the pipeline detection efficiency and the accuracy of pipeline detection.

[0033] Embodiment 2:

[0034] As Figure 1 , the present invention uses three main devices: the transmitter 1, the auxiliary locator 2, and the detector 3. Each device is equipped with a two-way ToF ranging module and a wireless communication module to achieve accurate distance measurement and data transmission. The transmitter 1 also includes an AI module and a data storage module for data processing and analysis. The detector 3 is equipped with a signal detection module and a positioning module, and has three working modes: map drawing mode, navigation mode, and damaged point positioning mode.

[0035] At the beginning of the detection process, the operator connects the transmitter 1 to the pressure pipeline to be detected. The transmitter 1 sends current signals to the pipeline through the connection point, and these signals propagate along the pipeline. The operator fixedly installs the auxiliary locator 2 at a position far from the transmitter 1. After the auxiliary locator 2 is started, the transmitter 1 measures the distance to the auxiliary locator 2 through its bidirectional ToF ranging module, denoted as distance A. This distance serves as the basis for subsequent triangulation calculations.

[0036] Subsequently, the operator activates the mapping mode of the detector 3. In this mode, the detector 3 first determines the exact position of the pipeline using the peak method. The peak method is a commonly used pipeline positioning technique that determines the pipeline position by finding the point with the maximum signal strength. After determining the pipeline position, the operator inserts the feet of the detector 3 into the ground every 1 to 1.5 meters along the pipeline to fix the position of the detector 3. After each fixation, the operator presses the acquisition button on the detector 3 to trigger a series of automated operations.

[0037] The detector 3 first calculates the distance to the auxiliary locator 2 through its bidirectional ToF ranging module, denoted as distance B. At the same time, the signal detection module of the detector 3 collects the current signals transmitted from the pipeline. These data, including distance B and the received signal strength, are transmitted to the transmitter 1 through the wireless module.

[0038] After receiving the data sent by the detector 3, the transmitter 1 immediately calculates the distance to the detector 3 through its own bidirectional ToF ranging module, denoted as distance C. The transmitter 1 stores data such as distance A, B, C, and the received signal strength in its storage module. This process is repeated at multiple points along the pipeline to collect sufficient data to draw a detailed pipeline detection map.

[0039] After completing the data acquisition, the AI module of the transmitter 1 starts to process the data in the storage module. The AI module uses machine learning algorithms to analyze these data and calculates the preliminary position where the pipeline anti-corrosion layer is damaged. At the same time, the AI module also constructs a detailed area map based on the collected data.

[0040] Next, the operator switches the detector 3 to the navigation mode. In this mode, the transmitter 1 sends the preliminary position where the pipeline anti-corrosion layer may be damaged, the constructed area map, and distance A calculated previously to the detector 3 through the wireless module. The detector 3 enters the autonomous navigation state and calculates the distance C to the transmitter 1 and the distance B to the auxiliary locator 2 in real time through the bidirectional ToF ranging module. The positioning module of the detector 3 combines these real-time distance data, preliminary damage position information, area map, and distance A, and uses the triangulation algorithm to accurately calculate the current position of the detector 3 in the area map.

[0041] Based on these calculation results, the operator can accurately move the detector 3 to the preliminary damage position predicted by the AI module. This precise navigation greatly reduces the search time and improves the detection efficiency.

[0042] Finally, when the detector 3 reaches the preliminary damage position, the operator switches it to the damage point positioning mode. In this mode, the detector 3 conducts a more refined scan. The operator inserts the foot studs of the detector 3 into the ground multiple times on both sides along the length direction of the pipeline with the preliminary position as the center. After each insertion, the signal detection module of the detector 3 collects the received signal. The detector 3 analyzes these signals using the peak method and finally determines the precise position of the damaged point of the pipeline anti-corrosion layer by comparing the signal intensities at different positions.

[0043] Embodiment 3:

[0044] As Figure 1 In the process of pipeline detection of the present invention, after the AI module analyzes and processes the collected data, it will calculate the preliminary position of the damaged point of the pipeline anti-corrosion layer. This position information is an important detection result, directly reflecting the integrity status of the pipeline anti-corrosion layer.

[0045] To enable the operator to intuitively and quickly obtain the detection result, the method adds a sound prompt function after the AI module completes the calculation. Specifically, when the preliminary position of the damaged point of the pipeline anti-corrosion layer calculated by the AI module is equal to zero, it means that no damaged point is detected, and the system will automatically emit a prompt sound of "detection passed".

[0046] On the contrary, if the preliminary position calculated by the AI module is not equal to zero, it means that a potential damaged point of the anti-corrosion layer is detected, and the system will emit a warning prompt sound. This warning sound usually adopts a relatively harsh sound, such as a short beep, to attract the operator's attention.

[0047] The realization of the sound prompt function depends on the speaker module equipped on the transmitter 1. After the AI module completes the calculation, it will send a corresponding control signal to the speaker module to trigger the preset sound. These sound files are pre-stored in the storage module of the transmitter 1 and can be customized according to needs.

[0048] In addition, to adapt to different working environments, the volume of the sound prompt can be adjusted. In a noisy field, the volume of the prompt sound can be increased; while in a relatively quiet environment, the volume can be appropriately reduced to avoid disturbing others.

[0049] The addition of the voice prompt function has greatly improved the human-machine interaction efficiency during the detection process. The operator does not need to always stare at the display screen and can quickly judge the detection result just by hearing. This is especially useful in complex on-site environments, allowing the operator to focus more attention on other important tasks.

[0050] Embodiment 4:

[0051] As Figure 1 , the present invention further optimizes the layout requirements of the transmitter 1 and the auxiliary locator 2. Before starting the detection, correctly setting the position of the detection device is crucial for obtaining accurate detection results. First, the operator needs to preliminarily determine the orientation of the pipeline to be measured. This is usually done through on-site investigation or by referring to the pipeline layout diagram. After determining the pipeline orientation, the next step is to reasonably arrange the positions of the transmitter 1 and the auxiliary locator 2. According to the requirements of this method, the angle between the connection line L of the transmitter 1 and the auxiliary locator 2 and the pipeline orientation should be maintained within the range of 45° to 135°. This angle range is set based on the principle of triangulation, aiming to optimize the positioning accuracy. When the angle is within this range, a relatively ideal triangular measurement reference can be formed, which is beneficial to improving the accuracy of subsequent positioning calculations. During specific operations, the operator can use a compass or other angle measurement tools to ensure that the angle meets the requirements. For example, a reference line can be determined along the pipeline orientation first, and then, with this as a reference, the positions of the transmitter 1 and the auxiliary locator 2 can be adjusted until the angle between their connection line and the reference line falls within the specified range. In addition to the angle requirement, the distance between the transmitter 1 and the auxiliary locator 2 also needs to be controlled within the range of 5 to 10 meters. This distance range is set considering multiple factors. On the one hand, the distance cannot be too close, otherwise it will affect the accuracy of triangulation; on the other hand, the distance cannot be too far to prevent the signal strength from being too weak to affect the detection effect. The range of 5 to 10 meters has been proven to be a relatively ideal compromise in practice.

[0052] Embodiment 5:

[0053] As Figure 1, the detector 3 of the present invention is provided with a depth detection module. After determining the location of the damaged point of the pipeline anticorrosion layer, the depth detection module will obtain the buried depth of the pipeline. Specifically, the detector 3 adopts a depth detection module based on time-of-flight (ToF) technology. This module includes a transmitting unit and a receiving unit. The transmitting unit can generate and transmit high-frequency electromagnetic wave signals, and the receiving unit is responsible for receiving the signals reflected from the pipeline surface. When the detector 3 determines the location of the damaged point of the anticorrosion layer, the operator will activate the depth detection module. The depth detection module first emits a narrowband electromagnetic wave signal underground through the transmitting unit. This signal penetrates the soil, is reflected after reaching the pipeline surface, and is captured by the receiving unit. Using the measured time difference and the selected propagation speed, the depth detection module calculates through the internal microprocessor to obtain the distance of the round-trip of the electromagnetic wave signal. Since the signal propagates back and forth, the actual buried depth of the pipeline is half of the calculated distance. To improve the measurement accuracy, the depth detection module will perform multiple measurements continuously, and conduct statistical analysis on the results, exclude outliers, and finally obtain an average buried depth data. This data will be displayed on the liquid crystal screen of the detector 3, and at the same time transmitted to the transmitter 1 through the wireless communication module, and saved by the data storage module of the transmitter 1. The buried depth data obtained through the depth detection module, combined with the previously determined damaged point location information, provides an important basis for subsequent pipeline maintenance and anticorrosion layer repair work. Accurate buried depth data can help maintenance personnel accurately locate the construction position, reduce the unnecessary excavation range, improve the repair efficiency, and reduce costs.

[0054] Embodiment Six:

[0055] As Figure 1 , the detector 3 of the present invention is built-in with a horizontal detection module. After inserting the foot studs of the detector 3 into the ground, the horizontal detection module will detect the horizontal state of the detector 3. If the detector 3 is not in a horizontal state, the acquisition button function of the detector 3 will be locked, and a warning prompt sound will be emitted.

[0056] The horizontal detection module of the detector 3 adopts the tilt sensor technology. This sensor can measure the tilt angles simultaneously in two directions of the X-axis and the Y-axis. The horizontal detection module also includes a microprocessor for processing the sensor data and controlling related functions. When the operator inserts the foot studs of the detector 3 into the ground, the horizontal detection module will immediately start the detection program. The tilt sensor continuously monitors the tilt angles of the detector 3 on the X-axis and the Y-axis and transmits the data to the microprocessor in real time. The microprocessor determines whether the detector 3 is in a horizontal state according to the preset threshold. The threshold is set to ±1 degree. If the tilt angles of both the X-axis and the Y-axis are within the range of ±1 degree, it is considered that the detector 3 is in a horizontal state, and the microprocessor will not take any intervention measures. However, if the tilt angle of any axis exceeds ±1 degree, the microprocessor will determine that the detector 3 is not in a horizontal state. At this time, the horizontal detection module will trigger two actions: First, it will send a signal to the main control unit of the detector 3 to indicate locking the function of the acquisition button. So that when the operator presses the acquisition button, the detector 3 will not perform the data acquisition operation. Second, the horizontal detection module will activate the speaker of the detector 3 to emit a preset warning prompt tone to remind the operator to adjust the position of the detector 3. At the same time, a graphical level interface will appear on the liquid crystal display screen of the detector 3 to visually display the current tilt state. This interface includes a graph simulating a bubble level, as well as the specific tilt angle values of the X-axis and the Y-axis. The operator can adjust the position of the detector 3 according to this visual information. This design of the horizontal detection module ensures that each data acquisition is carried out when the detector 3 is in a horizontal state, effectively avoiding measurement errors of the bidirectional ToF ranging module caused by the tilt of the detector 3. This is crucial for improving the accuracy and reliability of the overall detection results, especially when performing precise signal strength measurements and pipeline depth measurements.

[0057] Embodiment Seven:

[0058] As Figure 1, the intelligent detection system for the anti-corrosion layer of the pressure pipeline of the present invention includes a transmitter 1, an auxiliary locator 2, and a detector 3. This system applies the detection methods of Embodiments 1 to 6, and realizes the detection of the anti-corrosion layer of the pipeline with long distance and high precision through the combination of multi-point positioning and signal analysis. As the core device of the system, the transmitter 1 is connected to the pressure pipeline to be detected and emits a current signal with a fixed frequency as the detection signal source. The transmitter 1 is built-in with a two-way ToF (Time of Flight) ranging module and a wireless communication module, which can accurately measure the distance from other devices and transmit data. In addition, the transmitter 1 also integrates an AI module and a storage module. The AI module is responsible for analyzing the received data, calculating the preliminary position of the break point of the pipeline anti-corrosion layer, and constructing a map of the detection area. The storage module is used to save the distance data and signal detection data sent by the detector 3. The auxiliary locator 2 is fixed at a position far from the transmitter 1 and serves as a reference point for spatial positioning. It is also built-in with a two-way ToF ranging module and a wireless communication module, which can perform ranging and data interaction with the transmitter 1 and the detector 3. The presence of the auxiliary locator 2 significantly improves the positioning accuracy of the system. The detector 3 is the mobile detection unit in the system, and is equipped with multiple functional modules to meet different detection needs. In addition to the two-way ToF ranging module and the wireless communication module, the detector 3 also includes a signal detection module, a positioning module, a horizontal detection module, and a depth detection module. The signal detection module is used to collect and analyze the received pipeline signals; the positioning module calculates the real-time position of the detector 3 using multi-point ranging data; the horizontal detection module ensures that the detector 3 remains horizontal during movement to improve the detection accuracy; the depth detection module is used to measure the buried depth of the pipeline. The detector 3 has three working modes:

[0059] Map drawing mode, navigation mode, and break point positioning mode.

[0060] In the map drawing mode, the detector 3 moves along the pipeline path, obtains the distance data from the auxiliary locator 2 and the transmitter 1 through the two-way ToF ranging module, and at the same time uses the signal detection module to collect pipeline signals. By combining and analyzing these data, the detector 3 can generate accurate pipeline path information.

[0061] In the navigation mode, the detector 3 receives the preliminary position of the break point and the area map information sent by the transmitter 1.

[0062] Combined with the real-time two-way ToF ranging data, the detector 3 dynamically calculates its own position through the positioning module and autonomously navigates to the target area.

[0063] This mode greatly improves the detection efficiency and reduces the need for manual operations. In the damage point location mode, the detector 3 enables the peak comparison method of the signal detection module to conduct a detailed analysis of the pipeline signal. By comparing the signal intensities and characteristics at different positions, the detector 3 can accurately locate the damage point of the anti-corrosion layer. At the same time, the depth detection module measures and records the buried depth of the pipeline at this position, providing an important reference for subsequent maintenance work. The entire system realizes data transmission between various devices through the wireless communication module. The transmitter 1 receives and stores the distance data and signal detection data sent by the detector 3, and then uses the AI module for data analysis and processing. This design not only improves the efficiency of data transmission but also enables real-time data analysis and decision-making.

[0064] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the existence of additional identical elements in the process, method, article or device comprising the element.

[0065] As described above, it is only used to illustrate the technical solution of the present invention and not to limit it. Other modifications or equivalent replacements made by those of ordinary skill in the art to the technical solution of the present invention shall be covered by the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solution of the present invention.

Claims

1. An intelligent detection method for the anticorrosion layer of a pressure pipeline, comprising a transmitter, an auxiliary locator and a detector, characterized in that, The transmitter, the auxiliary locator, and the detector are all equipped with two-way ToF ranging modules. The transmitter, the auxiliary locator, and the detector are all connected via wireless modules. The transmitter is equipped with an AI module and a storage module. The detector is equipped with a signal detection module and a positioning module. The detector has 3 working modes: map drawing mode, navigation mode, and break point positioning mode; S1: Connect the transmitter to the pipeline, fix the auxiliary locator at a position far from the transmitter, and start the auxiliary locator; S2: The transmitter calculates the distance A between it and the auxiliary locator through the two-way ToF ranging module; S3: Enable the map drawing mode of the detector, use the peak method to determine the pipeline position, and insert the spikes of the detector into the ground every 1 - 1.5 meters along the pipeline direction. Press the acquisition button of the detector. The detector calculates the distance B between it and the auxiliary locator through the two-way ToF ranging module, and at the same time collects the received signal through the signal detection module. The detector sends the distance B and the received signal to the transmitter through the wireless module; S4: The transmitter receives the distance B and the received signal sent by the detector. The transmitter calculates the distance C between it and the detector through the two-way ToF ranging module, and stores the distance A, the distance B, the distance C, and the received signal in the storage module; S5: The AI module reads the data in the storage module, and through AI intelligent calculation, obtains the preliminary position of the pipeline anti-corrosion layer break point and constructs a regional map; S6: Enable the navigation mode of the detector. The transmitter sends the preliminary position of the pipeline anti-corrosion layer break point, the regional map, and the distance A to the detector through the wireless module. The detector calculates the distance C between it and the transmitter in real time through the two-way ToF ranging module. The detector calculates the distance B between it and the auxiliary locator in real time through the two-way ToF ranging module. The positioning module calculates the position of the detector in the regional map in real time according to the preliminary position, the regional map, the distance A, the distance B, and the distance C, and moves the detector to the preliminary position by moving; S7: Enable the break point positioning mode of the detector. With the preliminary position as the center, insert the spikes of the detector on both sides of the preliminary position along the pipeline length direction, obtain the received signal through the signal detection module and perform comparison using the peak method to determine the position of the pipeline anti-corrosion layer break point.

2. A method for intelligent detection of the anti-corrosion layer of a pressure pipeline according to claim 1, characterized in that, S5 also includes: If the preliminary position of the pipeline anti-corrosion layer break point calculated by the AI module is equal to zero, a detection passed prompt sound signal is emitted, otherwise a warning prompt sound is emitted.

3. An intelligent detection method for the anticorrosion layer of a pressure pipeline according to claim 1, characterized in that, S1 also includes: Preliminarily determine the direction of the pipeline to be measured. The included angle range between the connection line L of the transmitter and the auxiliary locator and the pipeline direction is 45° - 135°, and the distance between the transmitter and the auxiliary locator is 5 - 10 meters.

4. An intelligent detection method for the anticorrosion layer of a pressure pipeline according to claim 1, characterized in that, The detector is equipped with a depth detection module. S7 also includes: After determining the position of the pipeline anti-corrosion layer break point, the depth detection module obtains the buried depth of the pipeline.

5. An intelligent detection method for the anticorrosion layer of a pressure pipeline according to claim 1, characterized in that, The detector is built-in with a horizontal detection module. S3 also includes: After inserting the spikes of the detector into the ground, the horizontal detection module detects the horizontal state of the detector. If the detector is not in a horizontal state, the acquisition button function of the detector is locked, and a warning prompt sound is emitted.

6. An intelligent detection system for the anti-corrosion layer of a pressure pipeline, characterized in that, Use the method of any one of claims 1 to 5; The transmitter, the auxiliary locator, and the detector are all built-in with two-way ToF ranging modules and wireless communication modules, and the three achieve data transmission through the wireless communication modules; The transmitter is also integrated with an AI module and a storage module, which are used to receive and store the distance data and signal detection data sent by the detector, and calculate the preliminary position of the pipeline anti-corrosion layer break point and construct a regional map through the AI module; The detector includes a signal detection module, a positioning module, a horizontal detection module, and a depth detection module, and is configured with a map drawing mode, a navigation mode, and a break point positioning mode; In the map drawing mode, the detector generates pipeline path information by combining the ranging data of the two-way ToF ranging module with the auxiliary locator and the transmitter, and the pipeline signals collected by the signal detection module; In the navigation mode, the detector dynamically calculates its own position based on the preliminary break point position, the regional map, and the real-time two-way ToF ranging data sent by the transmitter and navigates to the target area; In the break point positioning mode, the detector accurately locates the break point based on the peak comparison method of the signal detection module and obtains the buried depth of the pipeline through the depth detection module.

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