505 results about "Underground pipeline" patented technology

The invention belongs to the technical field of underground pipeline detection and defect identification, and particularly discloses an underground pipeline defect detection method based on image and point cloud data fusion, and the method comprises the following steps: collecting a video image and laser radar point cloud data of the inner wall of an underground pipeline, and carrying out the synchronous pairing of an image frame and a point cloud frame based on a timestamp; performing defect identification on the synchronized image frames to obtain a defect region ROI; based on a pre-calibrated external parameter matrix of a camera and a laser radar, converting the synchronously acquired point cloud data coordinates into an image coordinate system, calculating through internal parameters of the camera to obtain pixel coordinates, and screening out a point cloud point set falling into a defect region of interest (ROI) as a defect point cloud subset; and sequentially carrying out denoising, registration and clustering segmentation on the defect point cloud subset to obtain a three-dimensional point cloud structure of the defect, and calculating a quantization parameter of the defect based on the three-dimensional point cloud structure. According to the invention, automatic real-time detection and accurate quantification of pipeline defects can be effectively realized.

The invention relates to the technical field of information management, in particular to an underground pipeline gallery risk monitoring method and device. According to the method, a heterogeneous sensing terminal network is used for sensing a target underground pipeline gallery according to a fast and slow time sequence, and a pipeline gallery monitoring anchor point set is determined; performing cross-modal interaction on a heterogeneous sensing terminal network based on the pipeline and pipe gallery monitoring anchor point set to obtain a pipeline and pipe gallery monitoring anchor point multi-modal fusion feature set; performing anchor point risk assessment according to the pipeline and pipe gallery monitoring anchor point multi-modal fusion feature set, and obtaining a pipeline and pipe gallery monitoring anchor point risk factor set according to an assessment result; and when the pipeline and pipe gallery monitoring anchor point risk factor set is greater than or equal to a preset anchor point risk factor threshold value, triggering a risk early warning instruction. According to the method, accurate identification and dynamic early warning of the key risk points of the underground pipeline gallery are achieved through fast and slow time sequence sensing and cross-modal feature fusion processing based on the monitoring anchor points.

The invention provides an underground pipeline leakage detection method and system based on physical enhancement thermal inertia imaging, and belongs to the technical field of pipeline detection, and the method comprises the steps: obtaining an earth surface thermal field and environment meteorological parameters of a current target area; the surface thermal field and the environmental meteorological parameters are input into a double-flow physical information neural network model, a predicted background thermal field is obtained, the double-flow physical information neural network model is obtained through training based on leakage-free historical data and a total loss function, and the total loss function comprises physical loss items determined based on a one-dimensional heat conduction partial differential equation; calculating a space-time residual image of the earth surface thermal field and the predicted background thermal field, and obtaining an apparent thermal inertia distribution map of the earth surface based on the space-time residual image and environmental meteorological parameter inversion; and detecting whether the underground pipeline in the target area leaks based on the space-time residual map, the apparent thermal inertia distribution map and a preset condition. According to the invention, the accuracy of underground pipeline leakage detection can be improved.

The invention provides a line migration and modification scheme optimization evaluation method based on a multi-dimensional constraint condition, and the method comprises the steps: obtaining the position information of an urban underground pipeline, extracting the buried depth of an unlabeled pipeline and an intersection point according to the position information of the underground pipeline, carrying out the labeling, and obtaining the pipeline distribution data containing a three-dimensional coordinate and the buried depth deviation; pipeline horizontal distance information in the preliminarily optimized layering scheme is extracted, whether the distance meets the safety requirement or not is judged through a space geometry algorithm, and if not, horizontal distance parameters are adjusted, and adjusted horizontal distance parameters are obtained; acquiring damage degree data of the protection layer, and if the damage degree exceeds a preset threshold value, establishing a pipeline layout model with real-time response by dynamically updating a vertical layering standard and a horizontal spacing parameter; and according to the optimized pipeline collaborative distribution scheme, calculating a pipeline space utilization efficiency index, and carrying out iterative updating on the pipeline layout model to obtain a pipeline layout optimization result adapted to the dynamic environment.

The invention discloses an underground pipeline intelligent leakage detection method and device, and relates to the field of intelligent leakage detection.The method comprises the steps that a high-frequency pressure sequence of a target pipe section is collected, and based on the Boltzmann superposition principle, the high-frequency pressure sequence is used for constructing a neural lag operator network by taking the environment temperature as a heat rheological regulation factor; taking the full historical stress-strain memory field tensor as input, carrying out non-local memory characteristic and hysteresis loop analysis, carrying out point-by-point differential processing on a high-frequency pressure sequence and the intrinsic nonlinear hysteresis response signal of the pipe, stripping non-stationary background fluctuation, avoiding modulation interference of material nonlinearity on a fluid signal, and obtaining a non-linear hysteresis response signal of the pipe. The method comprises the following steps: extracting the abnormal residual error of the fidelity fluid dynamics, constructing a spatio-temporal evolution Poincare section, inputting the spatio-temporal evolution Poincare section into a convolutional neural network, judging the real leakage negative pressure wave and the random drift of the sensor through the morphological difference of attractors on the spatio-temporal evolution Poincare section, and eliminating the periodic false alarm caused by the rheological property of the material.

The invention relates to an underground pipeline disease intelligent detection and evaluation method and system, and the method comprises the following steps: S1, obtaining underground pipeline multi-source heterogeneous data, and constructing an underground pipeline detection knowledge graph; s2, according to the detection task instruction, based on a multi-modal detection robot, obtaining a pipeline multi-modal original data set; s3, preprocessing the obtained multi-modal original data set of the pipeline to obtain a structured feature data set; s4, constructing an intelligent recognition model, performing defect detection, and outputting a final defect intelligent recognition result through a multi-modal data fusion decision algorithm; s5, performing three-dimensional space positioning on each identified defect according to an intelligent defect identification result, automatically marking the three-dimensional space on a digital pipe network map, and quantifying an RBI risk index of each defect; and S6, according to the RBI risk index of each defect, calling the underground pipeline detection knowledge graph to intelligently match the optimal trenchless repair scheme, and obtaining a detection report. According to the invention, the speed of underground pipeline disease detection and the consistency of evaluation are effectively improved.

The invention discloses a sound wave detection method and system for an underground pipeline, and the method comprises the following steps: 1, dynamically adjusting the detection height in the radial direction of a pipeline through a lifting adjustment device of a first sound wave detection mechanism, and enabling a sound wave transmitting end to adapt to the inner walls of pipelines with different pipe diameters; 2, a rotation driving device of a second sound wave detection mechanism controls a sound wave transmitting end to conduct multi-angle rotation scanning around the axis of the pipeline, and the circumferential area of the cross section of the pipeline is covered; 3, based on the pipeline inner diameter D, the material acoustic characteristics and the preset coverage rate eta, motion parameters are generated through a dynamic optimization algorithm; 4, collecting a reflected sound wave signal and carrying out multi-stage processing; through the implementation of the method, a dynamic optimization algorithm of full-dimensional scanning coverage enables the screw pitch error of a spiral track to be small, 100% non-blind area coverage of the cross section of the pipeline is achieved, the self-adaptive focusing lens controls the sound beam focusing angle error to be within + / -2 degrees, and the detection sensitivity of the thin-walled pipe is improved.

The invention relates to a spraying anti-corrosion device for an underground pipeline of a building, and belongs to the technical field of pipeline spraying equipment. The spraying anti-corrosion device for the underground pipeline of the building comprises a frame body, a movable frame and a first air cylinder, the frame body and the movable frame are connected in an inserted mode, and the first air cylinder is fixedly installed on the frame body; free adjustment can be conducted according to the anti-corrosion spraying position of the underground pipeline, free switching of two states is conducted, in-pipe locking and positioning can be conducted on the underground pipeline when anti-corrosion spraying is conducted on the outer wall of the underground pipeline in the first state, it is ensured that the underground pipeline is in a stable rotating state when the outer wall of the underground pipeline is sprayed, and the underground pipeline is matched with a horizontally-moving movable spraying head; and in the first state, efficient and stable operation of anti-corrosion spraying of the outer wall of the underground pipeline is achieved, in the second state, one positioning mechanism is disconnected with the underground pipeline, the other positioning mechanism can be matched with the spraying mechanism to conduct anti-corrosion spraying on the inner wall of the underground pipeline, and the device can conduct anti-corrosion spraying operation on the two different positions of the inner wall and the outer wall of the underground pipeline.

The invention relates to the technical field of underground pipeline detection, in particular to an underground nonmetal pipeline detection positioning method and system. The method comprises the steps that multi-source heterogeneous data such as road surface vibration, echo imaging, a thermal radiation sequence and environment field intensity in a target area are acquired and preprocessed, and an original observation set containing spatio-temporal information is constructed; time-frequency joint representation of vibration and echo is realized based on a self-supervised multi-mode feature coding network, thermal radiation texture anomaly is extracted by a space-time convolution converter, and domain-invariant high-dimensional features are formed; conformal attention cross-modal alignment is adopted, the features are mapped to a unified hidden space, key boundaries are screened through gating mutual information, and a comprehensive feature map containing dielectric constant gradient and elastic wave guiding characteristics is generated through fusion; and carrying out topological reasoning by combining a graph neural network with a as-built graph and facility position priori, generating a candidate pipeline network, checking pruning by ray tracing arrival time consistency and a thermal diffusion time delay rule, and outputting pipeline space distribution and three-dimensional coordinates.

The invention discloses a channel structure analysis method and system based on multi-modal data, and the method comprises the steps: obtaining the multi-source data of a target region, building a three-dimensional geological structure model of the target region based on the multi-source data, generating a point distribution scheme through a space optimization algorithm, generating a monitoring network based on the point distribution scheme, and carrying out the analysis of the three-dimensional geological structure model. Different types of tracers are injected into the injection points by adopting a graded injection strategy, monitoring data are collected, an underground structure model is generated based on the monitoring data, hydraulic parameters are calculated, the underground structure model is dynamically corrected based on the hydraulic parameters, and an underground pipeline three-dimensional model is obtained; and grading channel structures in the underground pipeline three-dimensional model by using a preset channel grading standard, and generating a channel three-dimensional map based on a grading result. According to the method, the three-dimensional model of the underground pipeline is generated through comprehensive analysis of the multi-modal data, and the structural analysis precision of the underground water pollution channel is improved.

The invention belongs to the technical field of underground pipeline detection, and discloses an underground pipeline CCTV camera auxiliary control method and device based on deep learning, and the method comprises the steps: firstly obtaining continuous real-time image frames, and obtaining the results of a disease type, detection confidence, a detection frame position and the like through a pipeline disease object detection model; starting tracking after a disease is detected for the first time, associating subsequent frame results according to a category consistency and position similarity rule, and constructing a continuous frame detection result set; based on the set, time stability and space stability are judged in sequence, and control-level confirmable diseases are screened out; and calculating an effective shooting angle interval by combining the transverse coordinate distribution range of the detection frame and the field angle parameter of the camera, and finally controlling the camera to execute rotary shooting in the interval. The method can reduce the false triggering rate, improve the disease imaging quality and detection efficiency, reduce the manual dependence and guarantee the reliability of the detection result.

The invention provides an intelligent deviation correction control method and system for box culvert pushing, and relates to the technical field of underground engineering construction.The method comprises the steps that a box culvert three-dimensional model is constructed by collecting construction related data; simulating the space change trend of the attitude structure of the box culvert under different working condition parameters by utilizing a virtual construction technology, generating a correction control instruction by combining with the box culvert three-dimensional model, and collecting attitude data of the box culvert after executing the instruction so as to adjust the attitude structure of the box culvert in the box culvert three-dimensional model to obtain a corrected box culvert three-dimensional model; and performing correlation analysis on the corrected box culvert three-dimensional model, the position data of the existing line, the trend data of the underground pipeline and the burial depth data to adjust the correction control instruction until the actual attitude deviation of the corrected box culvert three-dimensional model meets a preset box culvert construction condition. Intelligent deviation correction control over the box culvert in the incremental launching construction process is achieved, and the real-time sensing capacity and structural safety of box culvert incremental launching construction in complex underground engineering are improved.

This invention belongs to the field of surface settlement monitoring technology, and relates to a surface settlement prediction method based on a hybrid model of feature selection and GWO optimization. The method includes: acquiring monitoring data of a target foundation pit project; performing Pearson correlation analysis on the monitoring data, and selecting monitoring points of other monitoring items whose correlation with the target predicted surface settlement point is greater than a set threshold as key feature inputs; the monitoring points of the other monitoring items include at least: pile top vertical displacement monitoring points, settlement monitoring points of surrounding buildings, and settlement monitoring points of underground pipelines around the foundation pit; inputting the key features from the monitoring data into a CNN-GRU-Attention model based on an improved GWO optimization to predict the surface settlement value of the target surface settlement monitoring point. The method and system provided by this invention can accurately and efficiently predict future surface settlement of foundation pits, facilitating effective monitoring of surface settlement and early warning of engineering problems associated with surface settlement.

This invention relates to an underground pipeline drainage monitoring system and method based on distributed fiber optic acoustic sensing. The system includes sensing optical fibers deployed along the underground water pipeline, distributed fiber optic acoustic sensing equipment, a preprocessing module for preprocessing received signals, a feature extraction module, a status recognition module, an anomaly tracing module, and a display and early warning module. This invention utilizes sensing optical fibers deployed along drainage manholes and pipe sections to acquire acoustic and vibration responses under different operating conditions during pipeline network operation. It automatically identifies and locates abnormal discharge behavior under rainless conditions, enabling long-distance distributed sensing along the drainage network and is suitable for long-term online monitoring of urban drainage networks.

The application discloses an underground pipeline water flushing detection machine, which comprises a main unit and a handheld working unit; the handheld working unit comprises a holding part and a working long pipe; the holding part is provided with a switching cavity and a switching handle; one side of the switching cavity is provided with a mud interface and a water interface; the mud interface is connected with a suction inlet through a first hose; the water interface is connected with a water outlet through a second hose; the other side of the switching cavity is communicated with the working long pipe; a sealing block which can be rotated to block the mud interface and the water interface is arranged in the switching cavity; the sealing block is connected with the switching handle; the underground pipeline water flushing detection machine can flush and suck the underground pipeline in the detection hole for multiple times through the single working long pipe; the switching between the sucking and the flushing can flush the impurities adhered or retained in the working long pipe, so that the mud sucking efficiency is improved.

The invention discloses an underground pipeline detection device with a cleaning function and a using method, and relates to the technical field of pipeline detection.The underground pipeline detection device comprises a movable frame and detection equipment, an air cylinder is installed on the upper portion of the movable frame, a supporting frame is installed at the output end of the air cylinder, and a cleaning assembly is arranged on the supporting frame and the movable frame jointly; the cleaning assembly comprises first transmission belts symmetrically and movably connected to the bottom of the supporting frame, a plurality of cleaning brushes installed on the outer sides of the first transmission belts, fifth supporting rods symmetrically and rotationally connected to the bottom of the supporting frame, a plurality of fan blades and scraping rods installed on the outer sides of the fifth supporting rods correspondingly, and a first transmission unit and a second transmission unit arranged on the supporting frame. The supporting frame is driven by the air cylinder to move downwards, the cleaning brush is made to make contact with the ground, then the cleaning brush is driven to rotate, impurities such as scrap iron on the ground are swept to the two sides of the moving frame, interferents on the ground of a detection area can be removed, and false interference of the impurities on detection equipment is avoided.

The invention provides a construction method, device and system, a storage medium and a computer program product, and relates to the technical field of engineering assistance, the construction method is used for a server, and the construction method comprises the following steps: receiving current ground pipe buried line information and current geographic position information of a construction area uploaded by a construction terminal; updating an underground pipeline three-dimensional map according to the current underground pipeline embedding information and the current geographic position information; and sending the updated underground pipeline three-dimensional map to a construction terminal, so that the construction terminal displays the updated underground pipeline three-dimensional map. According to the method, the three-dimensional map of the underground pipeline is updated by utilizing the current underground pipeline burying information and the current geographic position information acquired by adopting a high-precision positioning technology, so that the pipeline is displayed in real time in a manner that what you see is what you get; therefore, the technical problems of extremely low positioning precision, response lag and limited coverage range of the mode of detecting the position of the underground pipeline during movable soil operation are effectively solved.

The utility model discloses a multi-tuning fork mechanical leakage listening rod, which relates to the technical field of pipeline detection and comprises a supporting rod, a mounting rod is mounted at the top of the supporting rod, a leakage listening assembly is arranged at the bottom of the supporting rod, and a connecting rod for adjusting the use length is arranged at the top of the supporting rod. And sound transmission rods are arranged in the connecting rod and the mounting rod. The beneficial effects of the utility model are that the first flange plate and the second flange plate are fixed through the bolts, and the connecting rod can be installed between the supporting rod and the installation rod, thereby achieving the effect of adjusting the use length, avoiding the problem of insufficient length during the detection of a deeper underground pipeline, and improving the detection precision through arranging a plurality of groups of tuning forks. The sound frequency can be distinguished more finely, the sensitivity and accuracy of water leakage detection are improved, the tuning fork transmits sound to the sound transmission rod through the sound listening rod, and the sound amplification cover amplifies the sound transmitted by the sound transmission rod.

The invention discloses a pipe ditch supporting device and a using method thereof, and belongs to the technical field of underground pipeline construction. The device core comprises supporting units symmetrically arranged and a transverse adjusting assembly connecting the supporting units. Each supporting unit is composed of a vertical supporting mechanism, a bottom fixing mechanism and a protection buffering mechanism, flexible adjustment of the height and the width is achieved through a second hydraulic cylinder and a first hydraulic cylinder, the supporting units adapt to different pipe ditch sizes, bottom pulleys are convenient to move, and the stability is enhanced through anchoring piles. The protective layer has buffering and waterproof functions, and the transverse adjusting assembly provides controllable supporting force through a horizontal hydraulic cylinder and a pressure sensor. And the using method of the hydraulic supporting device comprises the steps of hoisting in place, hydraulic adjustment, anchoring and fixing, real-time monitoring and the like, and rapid and safe supporting operation in segmented excavation is achieved.

The application discloses a kind of underground pipeline detection method and system based on multiple information sources, which comprises the following steps: pipeline detection system obtains the historical information of regional pipeline, arranges pipeline detection sensor;Establish detection sub-region, obtain pipeline characteristic parameter;Design regional fault detection algorithm, obtain health center point, calculate regional fault coefficient, determine fault sub-region;Pipe robot is put into fault sub-region, design adaptive fault point detection algorithm, detect fault point, record fault point position;Output pipeline detection result, notify pipeline inspection personnel;The scheme realizes the fault detection of underground pipeline by using multiple information sources, improves the detection efficiency by using the historical information of pipeline and establishing the arrangement scheme of pipeline detection sensor, divides the entire pipeline by establishing sub-region, detects each sub-region separately, improves the detection efficiency and accuracy of pipeline fault, and reduces the safety risk caused by pipeline fault.

This invention relates to a method, apparatus, equipment, and computer storage medium for three-dimensional pipeline positioning, belonging to the field of underground pipeline detection technology. The three-dimensional pipeline positioning method includes: acquiring multiple real acoustic wave reflection signals reflected by the pipeline to be located; determining the extension direction of the pipeline based on the signal intensity of the multiple real acoustic wave reflection signals; constructing a three-dimensional soil-pipeline model including the depth of the pipeline to be located; and acquiring simulated acoustic wave reflection signals from simulated acoustic wave acquisition points in the three-dimensional soil-pipeline model when the pipeline is at different depths; the simulated acoustic wave acquisition points correspond to the acquisition points of the real acoustic wave reflection signals; and determining the depth of the pipeline to be located based on the correlation between the simulated acoustic wave reflection signals and the real acoustic wave reflection signals. This invention can accurately locate underground pipelines.

The embodiment of the invention discloses an airport pipeline safety monitoring method based on an airport underground three-dimensional pipeline model. A specific embodiment of the method comprises the steps of obtaining a multi-source equipment sensing data set for an airport underground pipeline, and synchronizing the multi-source equipment sensing data set to an airport underground three-dimensional pipeline model to obtain a current three-dimensional pipeline model; performing signal change analysis on multi-source equipment sensing data in the multi-source equipment sensing data set to generate a signal analysis result set; according to the current three-dimensional pipeline model, calling a corresponding camera in the underground pipeline to shoot a pipeline scene video at a corresponding position; performing pipeline scene image recognition on each shot pipeline scene video to generate pipeline environment recognition information; and updating the historical pipeline environment record table to generate an underground pipeline safety monitoring record table. According to the embodiment, the safety monitoring accuracy of the underground pipeline of the airport is improved.

The positioning method of underground pipeline laying system based on rotary permanent magnet magnetic beacon belongs to the technical field of underground navigation positioning. The present application solves the problem of low positioning accuracy and high complexity of the existing positioning method of underground pipeline laying system. The present application analyzes the magnetic induction intensity distribution law of the rotary permanent magnet magnetic beacon, and then analyzes the propagation process of the magnetic field intensity in the metal pipeline by using the boundary theory of electromagnetic field. Based on the propagation process of the magnetic field intensity in the metal pipeline, the rotary permanent magnet magnetic beacon positioning technology is established to realize the positioning service for the underground straight pipeline equipment. Since the cumulative error is avoided, the present application improves the accuracy of the position estimation of the underground pipeline laying system, and does not need the process of stopping calibration, thereby reducing the complexity of the positioning of the underground pipeline laying system and improving the positioning efficiency, and indirectly improving the efficiency of the underground pipeline laying. The present application can be applied to underground navigation positioning.

This invention relates to the field of underground pipeline detection technology and discloses a deep learning-based method for underground pipeline detection. This method transforms raw geophysical field data into an enhanced semantic field through a deep feature generation network, while simultaneously parsing pipeline attribute description data into structured constraint rules. A pipeline existence verification network couples these two methods for reasoning, identifying the potential voxel space and extracting the initial 3D morphology of the pipeline. A differentiable rendering module projects the 3D results onto 2D data, compares them with the original data, and collaboratively optimizes and iteratively updates the network parameters accordingly. This method achieves coupled reasoning guided by prior knowledge and cross-dimensional consistency optimization, improving the accuracy and physical consistency of pipeline detection under complex interference environments.

The invention provides a thermal response-seismic wave fused pipeline leakage point detection method, device and equipment, and relates to the technical field of underground pipeline leakage detection. The method comprises the following steps: acquiring seismic wave signals and time-space thermal response data obtained by detecting an underground pipeline; inputting the space-time thermal response data into a space-time convolutional neural network for space-time feature extraction to obtain a thermal field change mode of the underground pipeline; inputting the thermal field change mode into a physical information neural network for inversion to obtain first leakage source information of the underground pipeline; wherein the physical information neural network takes a heat conduction equation as a hard constraint; performing inversion on the seismic wave signal to obtain second leakage source information of the underground pipeline; and determining a leakage point detection result of the underground pipeline based on the first leakage source information and the second leakage source information. According to the invention, omnibearing accurate sensing of the deep buried leakage point from the spatial position to the leakage state can be realized, and the detection depth and the positioning precision are improved.

A nondestructive evaluation system and method are provided for detecting the material type and leakage of an underground service line. An impactor applies a controlled impact to an instrumented rod in contact or proximity with the service line, inducing stress waves that propagate into the service line and surrounding soil. Sensors on the rod and / or on the ground surface detect the resulting waveforms. A processing unit analyzes time and frequency domain characteristics such as wave speed, attenuation, and vibration response to determine service line material and identify anomalies associated with leakage. The system enables accurate, real-time diagnostics of buried pipelines without excavation or fluid interruption.

The utility model belongs to underground pipeline butt joint technical field relates to a kind of mining underground roadway water pipeline quick butt joint sealing device, including pipe body, the left and right sides of pipe body are all fixedly connected butt joint pipe one, the inside of butt joint pipe one is slidably connected butt joint pipe two, butt joint pipe two is fixedly connected conveying pipe away from the side of pipe body, and four butt joint mechanisms of ring distribution are movably connected in the inside of butt joint pipe one;Butt joint mechanism includes splicing block, and splicing block is slidably connected in the middle part of the inside of butt joint pipe one, and the middle part of the back of four splicing block radian is all fixedly connected pull plate, and the two sides of the back of four splicing block radian close to pull plate are all fixedly connected compression spring one, and the periphery of butt joint pipe two is provided with four splicing slots of ring distribution. The device uses splicing block oblique design cooperation compression spring one, realizes pipeline quick butt joint;Through sealing ring three, sealing ring two and sealing ring one in the rotating process of rotary valve plate always keep close adhesion, effectively prevent water leakage.

The utility model provides a reinforced buried pipeline assembly, which relates to the technical field of buried pipelines and comprises an outer pipe, a reinforced supporting mechanism is arranged in the outer pipe and comprises arc-shaped supporting strips, and the outer side surfaces of the arc-shaped supporting strips are distributed on the inner wall of the outer pipe in an annular array and are fixedly connected with the inner wall of the outer pipe. Arc-shaped reinforcing blocks distributed in a linear array are arranged between every two adjacent arc-shaped supporting strips, inner pipes are fixedly connected to the surfaces of the inner sides of the multiple arc-shaped supporting blocks, a connection reinforcing mechanism is arranged at one end of each outer pipe, and each connection reinforcing mechanism comprises a first annular sealing connecting block. The effects that the inner pipe is supported and protected through cooperation of the arc-shaped supporting strips and the arc-shaped reinforcing blocks, the deformation degree of the outer pipe due to external extrusion is relieved, the connection strength between the pipelines is improved through insertion cooperation of the locking holes and the locking blocks, operation is convenient and fast, later-period disassembly and maintenance are convenient, and the construction efficiency is improved are achieved.

This invention relates to the field of underground pipeline location and detection technology, and discloses a method and system for underground pipeline detection based on tracer signals. The method includes: associating a tracer with an underground pipeline; acquiring underground pipeline tracer signals to obtain a target pipeline detection dataset; obtaining the target pipeline detection dataset; comparing and verifying the target pipeline detection dataset with a special identification code to obtain a verification result; acquiring the field strength and phase information of the verified tracer signals to obtain target pipeline information data; obtaining comprehensive positioning data of the target pipeline's horizontal position and burial depth based on the target pipeline information data; and comprehensively analyzing the target pipeline's identity attributes and the comprehensive positioning data to obtain the target pipeline detection result. This invention can thus integrate multi-source detection tracer signals, deeply explore the correlation between pipeline identity attributes and target pipeline location and detection results, and accurately capture special identification codes.

1. Name of the product in this design: Intelligent Marker Post (DS-C11). 2. Application of this design: for use as a path indicator for underground pipelines in the power, communication, gas, water supply, and railway sectors, and for monitoring the surrounding environment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.