Method and apparatus for processing deformation data

Abstract

The application provides a deformation data processing method and device. A plurality of pipeline monitoring points and a plurality of road monitoring points are obtained through a camera array to obtain a first image set and a second image set, and a deformation variable of the pipeline monitoring points and the road monitoring points is obtained according to the first image set and the second image set. The deformation type is scientifically determined according to the deformation variable, and a repair strategy is accurately formulated according to the deformation type, so that the pertinence and effectiveness of pipeline deformation processing can be improved, blind repair can be avoided, and the utilization efficiency of repair resources is greatly improved.

Description

Technical Field

[0001] This application relates to the field of image processing technology, and in particular to a method and apparatus for processing deformation data. Background Technology

[0002] Existing pipeline deformation measurements (such as water, gas, and oil pipelines) typically only detect the magnitude of the deformation without distinguishing the causes of the deformation. The maintenance strategies for deformation caused by different factors vary significantly. If the deformation maintenance strategy is not tailored to the cause, it may fall into a cycle of detection-maintenance-re-detection-re-maintenance, which cannot effectively solve the pipeline deformation problem. Summary of the Invention

[0003] This application provides a method and apparatus for processing deformation data. By acquiring the deformation data of pipeline monitoring points and road monitoring points, the deformation type can be accurately determined, and then a maintenance strategy can be accurately formulated based on the deformation type. This can improve the pertinence and effectiveness of pipeline deformation treatment, avoid blind maintenance, and greatly improve the efficiency of maintenance resource utilization.

[0004] In a first aspect, this application provides a method for processing deformation data, applied to a server of a deformation measurement system. The deformation measurement system includes the server and a deformation measurement device, the deformation measurement device including a camera array and a mobile platform. The method includes: acquiring a first image set of multiple pipeline monitoring points through the camera array; and acquiring a second image set of multiple road monitoring points through the camera array; the pipeline monitoring points are monitoring points set on pipelines, and the road monitoring points are monitoring points set along the pipeline laying route; calculating the pipeline deformation amount of each pipeline monitoring point based on the first image set, and generating a pipeline deformation curve of the pipeline based on the pipeline deformation amount; calculating the road deformation amount of each road monitoring point based on the second image set, and generating a road deformation curve of the pipeline laying route based on the road deformation amount; determining the deformation type of abnormal pipeline monitoring points that have undergone deformation based on the pipeline deformation curve and the road deformation curve, the deformation type including geological deformation, equipment deformation, and composite deformation; and determining a maintenance strategy for each abnormal pipeline monitoring point based on the deformation type.

[0005] Secondly, this application provides a deformation data processing apparatus applied to a server of a deformation measurement system. The deformation measurement system includes the server and a deformation measurement device, the deformation measurement device including a camera array and a mobile platform. The processing apparatus includes: an acquisition unit, configured to acquire a first image set of multiple pipeline monitoring points through the camera array; and to acquire a second image set of multiple road monitoring points through the camera array; the pipeline monitoring points are monitoring points set on pipelines, and the road monitoring points are monitoring points set along the pipeline laying route; a processing unit, configured to calculate the pipeline deformation of each pipeline monitoring point based on the first image set, and generate a pipeline deformation curve of the pipeline based on the pipeline deformation; and to calculate the road deformation of each road monitoring point based on the second image set, and generate a road deformation curve of the pipeline laying route based on the road deformation; and to determine the deformation type of abnormal pipeline monitoring points that have undergone deformation based on the pipeline deformation curve and the road deformation curve, the deformation type including geological deformation, equipment deformation, and composite deformation; and to determine a maintenance strategy for each abnormal pipeline monitoring point based on the deformation type.

[0006] Thirdly, this application provides a deformation measurement system, which includes a server and a deformation measurement device, the deformation measurement device including a camera array and a moving platform; the server is used to execute the step instructions in the method as described in any of the first aspects.

[0007] Fourthly, this application provides a server including a processor and a memory, wherein the memory stores a computer program, and the processor executes step instructions in the method as described in any one of the first aspects when it invokes the computer program in the memory.

[0008] As can be seen, in this embodiment, the server of the deformation measurement system first acquires a first image set of multiple pipeline monitoring points and a second image set of multiple road monitoring points through a camera array; wherein, the pipeline monitoring points are monitoring points set on the pipeline; and the road monitoring points are monitoring points set along the pipeline laying route; secondly, the pipeline deformation of each pipeline monitoring point and the road deformation of each road monitoring point are calculated based on the first and second image sets, and pipeline deformation curves and road deformation curves are generated based on the pipeline deformation and road deformation curves; then, the deformation type of the abnormal pipeline monitoring point that has undergone deformation is determined based on the pipeline deformation curve and the road deformation curve, and the deformation type includes geological deformation, equipment deformation, and composite deformation; finally, the maintenance strategy for each abnormal pipeline monitoring point is determined based on the deformation type. Therefore, in this application, by acquiring the deformation of pipeline monitoring points and road monitoring points, accurately determining the deformation type, and then accurately formulating maintenance strategies based on the deformation type, the pertinence and effectiveness of pipeline deformation handling can be improved, blind maintenance can be avoided, and the efficiency of maintenance resource utilization can be greatly improved. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly described below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 A structural block diagram of a deformation measuring device provided in an embodiment of this application; Figure 2 A schematic diagram of a pipeline deformation measurement scenario provided in an embodiment of this application; Figure 3 A structural block diagram of a deformation measurement system provided in an embodiment of this application; Figure 4 A structural block diagram of a server provided in an embodiment of this application; Figure 5 A flowchart illustrating the deformation data processing method provided in this application embodiment; Figure 6 Example diagrams of pipeline deformation curves and road deformation curves are provided for embodiments of this application; Figure 7 This is a functional unit structure block diagram of a deformation data processing device provided in an embodiment of this application. Detailed Implementation

[0010] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present application.

[0011] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but in some embodiments includes steps or units not listed, or in some embodiments includes other steps or units inherent to these processes, methods, products, or apparatuses.

[0012] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0013] In the embodiments of this application, "and / or" describes the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist simultaneously; B exists alone. Among them, A and B can be singular or plural.

[0014] In this embodiment, the symbol " / " can indicate that the preceding and following objects are in an "or" relationship. Alternatively, the symbol " / " can also represent a division sign, i.e., performing a division operation. For example, A / B can mean A divided by B.

[0015] In the embodiments of this application, "at least one item" or its similar expression refers to any combination of these items, including any combination of a single item or a plurality of items. "One or more" means one or more, while "multiple" means two or more. For example, "at least one item" of a, b, or c can represent the following seven cases: a, b, c; a and b; a and c; b and c; a, b, and c. Each of a, b, and c can be an element or a set containing one or more elements.

[0016] In the embodiments of this application, "equal to" can be used with "greater than" and is applicable to technical solutions used when "greater than" is used; it can also be used with "less than" and is applicable to technical solutions used when "less than" is used. When "equal to" is used with "greater than", it is not used with "less than"; when "equal to" is used with "less than", it is not used with "greater than".

[0017] Pipeline deformation can be caused by geological or equipment deformation. Geological deformation primarily refers to the direct tensile and compressive forces exerted on underground pipelines by ground subsidence or uplift, leading to pipeline deformation. Equipment deformation mainly refers to the aging and damage of pipelines and their components, as well as the deformation of other pipelines through connections. If the cause of pipeline deformation is not promptly identified and effectively addressed, it may lead to leaks, ruptures, and other accidents, resulting in serious consequences such as media leakage, environmental pollution, and personal injury. Furthermore, failing to accurately determine the cause of pipeline deformation may necessitate a comprehensive inspection and maintenance of the entire pipeline system, wasting significant human, material, and financial resources.

[0018] To address the aforementioned technical problems, this application provides a method and apparatus for processing deformation data. By distinguishing the causes of deformation and then formulating targeted maintenance strategies, the targeting and effectiveness of pipeline deformation treatment can be improved, blind maintenance can be avoided, and maintenance resource utilization efficiency can be greatly improved.

[0019] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0020] Please see Figure 1 , Figure 1 This is a structural block diagram of a deformation measuring device provided in an embodiment of this application. Figure 1 As shown, the deformation measuring device 1 is equipped with a moving platform 10, and a camera array 20 is mounted on the moving platform 10. The camera array 20 contains camera groups 201, and the number and focal length of the camera groups 201 are not limited; it can include one or more camera groups 201, and each camera in the camera array 20 is fixedly connected to each other. When one camera group 201 is set, the camera array 20 sequentially photographs the pipeline monitoring point and the road monitoring point. When multiple camera groups 201 are set, the shooting direction of each camera group 201 can be different, and the pipeline monitoring point and the road monitoring point can be photographed through different camera groups 201.

[0021] Please see Figure 2 , Figure 2This is a schematic diagram of a pipeline deformation measurement scenario provided in an embodiment of this application, such as... Figure 2 As shown, the pipeline is laid along the road, and pipeline monitoring points are set on the pipeline. Road monitoring points are set on the line R1 along the pipeline. The mobile platform 10 in the deformation measuring device 1 travels on the line R2. The camera array 20 includes a first camera group and a second camera group. The first camera group is used to photograph the pipeline monitoring points, and the second camera group is used to photograph the road monitoring points.

[0022] In some embodiments, pipeline monitoring points and road monitoring points are set up correspondingly. In other embodiments, pipeline monitoring points and road monitoring points may not need to be set up correspondingly. The reason is that this application measures the deformation of pipeline and road monitoring points, and then generates pipeline deformation curves based on the deformation of pipeline monitoring points and road deformation curves based on the deformation of road monitoring points. This allows for a holistic understanding of the deformation of pipelines and roads, rather than being limited to comparing the deformation of each monitoring point of each pipeline and road. It accurately grasps the deformation trends and patterns of both from a macroscopic perspective, breaking through the limitations of traditional point-by-point comparison and effectively improving the comprehensiveness and adaptability of deformation analysis.

[0023] Please see Figure 3 , Figure 3 A structural block diagram of a deformation measurement system provided in this application embodiment is shown below. Figure 3 As shown, the deformation measurement system 3 includes a deformation measurement device 1 and a server 2.

[0024] In this process, after the mobile platform 10 travels to the monitoring location, it sends a control signal to the camera array 20. After receiving the control signal, the camera array 20 controls the first camera group and the second camera group to take pictures of the pipeline monitoring point and the road monitoring point, respectively, to obtain a first image set and a second image set. The first image set and the second image set are then sent to the server 2 for processing. After receiving the image set, the server 2 analyzes and processes it according to the steps and instructions of the following method embodiment to obtain the three-dimensional deformation of the monitoring point and the maintenance strategy.

[0025] For specific implementation details, please refer to [link / reference]. Figure 4 , Figure 4 A structural block diagram of a server provided in an embodiment of this application, such as Figure 4 As shown, server 2 includes processor 21, memory 23, communication interface 22, and one or more programs 231. The one or more programs 231 are stored in memory 23 and configured to be executed by processor 21. The one or more programs 231 include instructions for performing any step in one of the following embodiments of a method for processing deformed data.

[0026] Based on the above hardware structure, a method for processing deformation data is proposed in the embodiments of this application.

[0027] Please see Figure 5 , Figure 5 This is a flowchart illustrating the deformation data processing method provided in the embodiments of this application, as shown below. Figure 5 As shown, the method is applied to the server of a deformation measurement system, and the method includes the following steps S501-S505: Step S501: Acquire a first image set of multiple pipeline monitoring points through the camera array; and acquire a second image set of multiple road monitoring points through the camera array.

[0028] The pipeline monitoring point is a monitoring point set on the pipeline, and the road monitoring point is a monitoring point set along the pipeline laying route.

[0029] The first image set includes images of pipeline monitoring points acquired during the first and second inspection processes, and the second image set includes images of road monitoring points acquired during the first and second inspection processes. This application does not limit the time interval between the first and second inspection processes; that is, the first and second inspection processes can be two consecutive inspection processes, or there can be one or more inspection processes in between. This application does not impose any restrictions on this.

[0030] In the embodiments of this application, the mobile platform may be a mobile monitoring vehicle, a mobile monitoring vessel, a mobile aircraft, etc., and the mobile platform may be equipped with positioning devices, such as odometers, positioning systems, etc., or with pose measurement devices, such as inertial navigation systems, gyroscopes, etc. This application does not limit this.

[0031] In some embodiments, monitoring locations for the mobile platform are set along its travel route. During the mobile platform's journey, upon detecting that it has reached a monitoring location, the camera array is controlled to capture images of the pipeline and road monitoring points. After capturing images, the mobile platform is controlled to move to the next monitoring location for further capturing, until all monitoring points within the area to be monitored have been processed.

[0032] The location of the mobile platform can be recorded through manual marking, recording odometer readings, or using a positioning system, etc., without limitation. Furthermore, the markings at monitoring points can utilize natural features or be manually coordinated, without limitation.

[0033] Step S502: Calculate the pipe deformation of each pipe monitoring point based on the first image set, and generate the pipe deformation curve of the pipe based on the pipe deformation.

[0034] In some embodiments, the first image set includes a first image taken during the first inspection and a second image taken during the second inspection; calculating the pipe deformation of each pipe monitoring point based on the first image set includes the following steps a1-a3: Step a1: Determine the pixel change of each of the plurality of pipeline monitoring points based on the first image and the second image.

[0035] Specifically, for each pipeline monitoring point, the first pixel coordinates of the pipeline monitoring point in the first image are obtained, and the second pixel coordinates of the pipeline monitoring point in the second image are obtained. The pixel change of the pipeline monitoring point is obtained based on the first pixel coordinates and the second pixel coordinates.

[0036] For example, for the first pipeline monitoring point p1, the homogeneous coordinates of the first pixel coordinates are: The homogeneous coordinates of the second pixel are Then the change in pixel coordinates of the first pipeline monitoring point p1 is The calculation formula is as follows:

[0037] Step a2: Obtain the world coordinates of the multiple pipeline monitoring points during the first inspection; and obtain the extrinsic parameter matrix and intrinsic parameter matrix of the camera array.

[0038] Among them, the intrinsic parameter matrix is ​​associated with the angle between the optical axis of the camera and the horizontal plane and the object surface resolution, while the extrinsic parameter matrix is ​​associated with the six degrees of freedom motion of the deformation measurement device. The six degrees of freedom motion includes the settlement, roll change, longitudinal displacement of the deformation measurement device along the travel direction, horizontal displacement, pitch angle change, and yaw change of the deformation measurement device.

[0039] Among them, the object surface resolution is the magnification factor of the image captured by the camera at the pipeline monitoring point.

[0040] Step a3, obtaining the deformation of each pipeline monitoring point based on the pixel change, the world coordinates, the extrinsic parameter matrix, and the intrinsic parameter matrix, specifically includes: Obtain the imaging equation, and establish the deformation equation based on the imaging equation; The deformation of each pipeline monitoring point is obtained based on the deformation equation, the pixel change, the world coordinates, the extrinsic parameter matrix, and the intrinsic parameter matrix.

[0041] In practical implementation, based on the central view projection model, the following first imaging equation can be established during the first deformation survey:

[0042] Among them, subscript Refers to a generalized camera station subscript This refers to the first survey. This refers to the scale factor, which physically refers to the scale factor of a generalized camera station during the first survey. to the measuring point The projected length of the straight-line distance along the camera's optical axis. This refers to the measuring points during the first survey. Two-dimensional image coordinates expressed in homogeneous form in the image coordinate system. Refers to generalized camera stations The camera's intrinsic parameter matrix, where, for the same fixed-focus camera, once the intrinsic parameter matrix is ​​calibrated, it can be considered to remain unchanged. Refers to the generalized camera station during the first survey. The camera's extrinsic parameter matrix, This refers to the measuring points during the first survey. Three-dimensional coordinates expressed in homogeneous form in the world coordinate system.

[0043] Based on the central view projection model, the following second imaging equation can be established during the second deformation survey:

[0044] Among them, subscript Refers to a generalized camera station subscript This refers to the second survey. This refers to the scale factor, which physically refers to the scale factor of the generalized camera station during the second survey. to the measuring point The projected length of the straight-line distance along the camera's optical axis. This refers to the measuring points during the second survey. Two-dimensional image coordinates expressed in homogeneous form in the image coordinate system. Refers to generalized camera stations The camera's intrinsic parameter matrix, Refers to the generalized camera station during the second survey. The camera's extrinsic parameter matrix, This refers to the measuring points during the second survey. Three-dimensional coordinates expressed in homogeneous form in the world coordinate system.

[0045] Since the camera was not replaced during the multiple surveys, its intrinsic parameters remained unchanged. Alternatively, the camera's intrinsic parameters can be obtained beforehand through camera calibration, meaning the camera's intrinsic parameters can be known constants. Furthermore, even if the trajectory of the deformation measuring device during the first survey differs from that during the current survey, the deformation measuring device moves continuously, and the camera array continuously captures images during this movement. Therefore, one or more generalized camera stations can always be found within the current survey. Compared with the generalized camera station during the first survey. The locations are close. In other words: even the generalized camera stations during the current survey... Compared with the generalized camera station at the initial survey There are differences in location between them, that is, there is a certain distance, but this distance is relative to the measuring point. To generalized camera stations The distance is negligible. Therefore, it can be assumed that the scale factor is a constant. = = , It is a constant.

[0046] Because the motion trajectories of deformation measuring equipment are different, the generalized camera station during the first survey... Compared with the generalized camera stations during the current survey The position and orientation changed during this process, which can be represented by six degrees of freedom variations: By using the changes in position and attitude represented by the above six degrees of freedom, a system can be established. and The relationship between them: Formula (1) Assuming a second survey Compared to the first survey At that time, measuring point Cumulative deformation has occurred, and this three-dimensional deformation can be expressed as: Formula (2) Based on the imaging equations from the first and second surveys, the measurement points can be obtained. The deformation variables are: Formula (3) In formula (3), It is a measuring point The amount of pixel change generated in an image can be obtained through image localization algorithms.

[0047] Substituting equations (1) and (2) into equation (3), we obtain the deformation equation:

[0048] In the deformation equation, the first survey Time Generalized Camera Station The transformation relationship between the world coordinate system and the external parameter matrix (i.e., the transformation relationship between the world coordinate system and the external parameter matrix) ), and measuring points Coordinates in the world coordinate system This can be obtained during the initial calibration phase. Only generalized camera stations... The six degrees of freedom of motion occurred and measuring points Three-dimensional motion It is the quantity to be demanded.

[0049] The process of generating the pipe deformation curve based on the pipe deformation can be carried out through steps such as data preprocessing, coordinate construction, and curve fitting. The specific method adopts existing technology, and this application does not limit it.

[0050] As can be seen, in this embodiment, discrete pipeline deformation data is transformed into continuous deformation curves, which intuitively reflect the spatial distribution, trend and characteristics of pipeline deformation, providing a basis for pipeline safety assessment.

[0051] Step S503: Calculate the road deformation of each road monitoring point based on the second image set, and generate the road deformation curve of the pipeline laying route based on the road deformation.

[0052] In some embodiments, the second image set includes a third image taken during the first survey and a fourth image taken during the second survey. The step of calculating the road deformation of each road monitoring point based on the second image set includes the following steps b1-b3: Step b1: Determine the pixel change of each road monitoring point among the plurality of road monitoring points based on the third image and the fourth image; Step b2: Obtain the world coordinates of the multiple road monitoring points during the first survey, and obtain the extrinsic parameter matrix and intrinsic parameter matrix of the camera array; Step b3: Obtain the deformation of each pipeline monitoring point based on the pixel change, the world coordinates, the extrinsic parameter matrix, and the intrinsic parameter matrix.

[0053] The specific implementation steps of steps b1-b3 are described in the specific embodiments of steps a1-a3, and will not be repeated here.

[0054] The process of generating the road deformation curve for the pipeline laying route based on road deformation can be carried out through steps such as data preprocessing, coordinate construction, and curve fitting. The specific method adopts existing technology, and this application does not limit it.

[0055] As can be seen, in this embodiment, the deformation of the pipeline and road monitoring points is used to generate overall deformation curves, which can accurately grasp the deformation trends and patterns of the two from a macroscopic level. This breaks through the limitations of traditional point-by-point comparison, effectively improves the comprehensiveness and adaptability of deformation analysis, and can more efficiently identify the correlation and potential risks of pipeline and road deformation, providing a more holistic and scientific basis for the formulation of subsequent maintenance strategies.

[0056] For example, please refer to Figure 6 , Figure 6 Example diagrams of pipeline deformation curves and road deformation curves are provided for embodiments of this application, such as... Figure 6 As shown in the example, pipeline monitoring points and road monitoring points are set accordingly. The horizontal axis represents the monitoring point number, and the vertical axis represents the deformation. The deformation is equal to the difference between the pixel coordinates in the second survey process and the survey coordinates in the first survey process.

[0057] Of course, in other examples, pipeline monitoring points and road monitoring points may not be set to correspond, with the horizontal axis representing the mileage of the pipeline laying route and the vertical axis representing the deformation.

[0058] Step S504: Determine the deformation type of the abnormal pipeline monitoring point that has undergone deformation based on the pipeline deformation curve and the road deformation curve.

[0059] The deformation types include geological deformation, equipment deformation, and composite deformation.

[0060] Geological deformation refers to pipeline deformation caused by geological activities such as ground subsidence and uplift, and it generally exhibits regional characteristics. Maintenance strategies mainly include foundation reinforcement, pipeline adjustment, and monitoring and early warning systems.

[0061] Equipment deformation is caused by problems with the pipeline itself, such as flange wear, pipeline corrosion, and support damage, and is mostly a localized issue. Maintenance strategies encompass localized repairs, equipment replacement, and condition monitoring.

[0062] Complex deformation refers to deformation caused by the combined effects of geological factors and localized equipment problems. Its maintenance strategy follows a collaborative approach, including a weighted priority principle and a time-sequential principle. The weighted priority principle determines the priority of treatment based on the relative weights of geological and equipment factors. The time-sequential principle determines the order of treatment based on the situation; generally, geological reinforcement is implemented first, followed by equipment repair after the strata stabilize. If an equipment malfunctions urgently, the equipment is addressed first. Combined maintenance schemes include geological reinforcement + equipment repair and pipeline modification + strata monitoring, each suitable for complex deformations with different weight ratios.

[0063] Therefore, the main differences among the three are as follows: First, their causes differ. Geological deformation is mainly caused by geological activities such as ground subsidence, uplift, and soil slippage; equipment deformation mainly stems from damage to the pipeline itself, such as aging of flange seals, pipeline corrosion, and support damage; composite deformation is the result of the combined effects of geological factors and equipment problems. Second, their scope of impact differs. Geological deformation has a wider impact, exhibiting regional characteristics and usually involving long pipeline sections; equipment deformation is mostly localized, mainly concentrated in specific parts of the pipeline, such as flange connections, corrosion points, and support locations; the scope of impact of composite deformation combines the characteristics of both, with both regional geological impacts and localized equipment problem impacts. Third, their maintenance priorities differ. The maintenance priority for geological deformation is to reinforce and stabilize the geological environment, adjust the pipeline to adapt to geological changes, and strengthen monitoring and early warning; the maintenance priority for equipment deformation is to repair or replace damaged equipment components and restore the normal function of the equipment; the maintenance priority for composite deformation is to coordinate the handling of both geological and equipment issues, determining the order and plan of treatment based on the weight and urgency of both.

[0064] In some embodiments, determining the deformation type of the abnormal pipeline monitoring point that has undergone deformation based on the pipeline deformation curve and the road deformation curve includes the following steps c1-c3: Step c1: Calculate the trend characteristic parameters of the pipeline deformation curve and the road deformation curve.

[0065] The trend characteristic parameters include a trend consistency index, which is used to characterize the correlation between the changing trends of the pipeline deformation curve and the road deformation curve.

[0066] Among them, the trend characteristic parameters are used to measure the overall trend correlation between the pipeline deformation curve and the road deformation curve. This mainly includes the Trend Consistency Index (TCI): reflecting the overall trend correlation between pipeline and road deformation, directly reflecting the influence of geological factors, with a value range of [-1, 1]. Its calculation is based on equally spaced sampling data after normalization of the two curves. A formula quantifies the consistency of pipeline and road deformation in the overall direction and rate of change; the closer the value is to 1, the more consistent the trends of the two. Geological factors are dominant, directly reflecting the influence of geological activities (such as ground subsidence and uplift) on pipeline deformation. For example, when TCI ≥ 0.7, it indicates that pipeline deformation is most likely dominated by geological factors; when TCI ≤ 0.4, it indicates that the influence of geological factors is weak, and it is more likely a localized equipment problem.

[0067] The calculation steps for TCI are as follows: The pipeline deformation curve and the road deformation curve are normalized to unify their value range to [0,1]. The normalized curves are then sampled at equal intervals (the sampling interval is determined based on the curve accuracy, generally 10-20 sampling points) to obtain the pipeline deformation sequence. and road deformation sequence Calculate TCI using the following formula:

[0068] in, The average value of the pipeline deformation sequence. This represents the average value of the road deformation series. The closer the absolute value of TCI is to 1, the stronger the consistency of the trends between the two curves.

[0069] Step c2: Calculate the local characteristic parameters of the pipeline deformation curve and the road deformation curve.

[0070] The local feature parameters include the anomaly point offset ratio and the local correlation coefficient. The anomaly point offset ratio is used to characterize the degree of deviation between the deformation of the abnormal pipeline monitoring point and the normal pipeline monitoring point. The local correlation coefficient is used to characterize the correlation between the pipeline deformation and the road deformation in the local area where the abnormal pipeline monitoring point is located.

[0071] The Local Correlation Coefficient (LCC) calculates the correlation between pipeline deformation and road deformation within a local area (e.g., 3-5 adjacent points centered on the anomaly). Its value ranges from -1 to 1, reflecting the synchronicity of deformation between the two within the local area. For example, an LCC ≥ 0.6 indicates high synchronicity between pipeline and road deformation within the local area, possibly dominated by geological factors; an LCC ≤ 0.3 indicates weak local correlation, more likely due to equipment issues.

[0072] The calculation steps for LCC are as follows: Obtain the pipeline deformation sequence and road deformation sequence Based on factors such as pipe material and geological conditions, a normal fluctuation range for deformation is set. For example, for metal pipes, the normal fluctuation threshold can be set to ±3mm (i.e., deformation between -3mm and 3mm is considered normal). Monitoring points where deformation exceeds the normal fluctuation threshold are marked as abnormal points. The calculation formula for LCC is as follows:

[0073] Where i is the location number of the anomaly point, for example, if the anomaly point is located at position number 8, then i=8; j is the number of the monitoring point in the local area, ranging from im to i+m; m is the half width of the local area (generally 1-2 adjacent points), that is, the number of monitoring points contained on both sides of the anomaly point (i.e., the local area contains 3-5 points). If m=1 and i=8, then the local area is j=7,8,9. Identify the deformation of the j-th pipeline monitoring point within a local area; Identify the deformation of the j-th road monitoring point within the local area, and compare it with that of the pipeline monitoring point. Corresponding in spatial location; This represents the average value of the pipe deformation within a local area. This represents the average value of road deformation within a local area.

[0074] Outlier Offset Ratio (ODR): the ratio of outlier offset (OD) to the region average offset. The ratio of ODR to the average value of an anomaly point's deformation relative to the surrounding area is used to identify abrupt deformations caused by local equipment failures (such as flange wear or support damage). Anomaly point offset refers to the absolute value of the deviation of a monitoring point's deformation from the average deformation of two adjacent points; the regional average offset is the average of the offsets of all points within that local area (e.g., 3-5 adjacent points centered on the anomaly point). For example, an ODR ≥ 2.5 indicates that the anomaly point's deformation is much greater than the surrounding average level, and is most likely due to equipment deformation; an ODR ≤ 1.8 indicates that the local deformation is relatively uniform, and is more likely related to geological factors.

[0075] For each point j (including outlier point i) within the local region, the deviation of j from the mean of its two adjacent deformation variables is calculated. , and for The deformation of two adjacent points, then outliers, n=2m+1 of , and outlier The shape of two adjacent points.

[0076] Step c3: Determine the deformation type of the abnormal pipeline monitoring point based on the trend feature parameters and the local feature parameters.

[0077] In some embodiments, determining the deformation type of the abnormal pipeline monitoring point based on the trend characteristic parameters and the local characteristic parameters includes: If the trend consistency index is detected to be greater than or equal to a first preset threshold, geological deformation verification is performed. If the trend consistency index is detected to be less than or equal to the second preset threshold, equipment deformation verification is performed. If the trend consistency index is detected to be less than the first preset threshold and greater than the second preset threshold, the deformation type is determined to be the composite deformation.

[0078] In one possible example, the first preset threshold is 0.7, and the second preset threshold is 0.4. It should be noted that the TCI threshold needs to be adjusted to adapt to different geological conditions, while the LCC and ODR thresholds can remain unchanged. For example, in conventional areas, the first preset threshold is 0.7; in soft soil areas, the first preset threshold can be set to 0.6; and in rocky areas, the first preset threshold can be set to 0.8.

[0079] In determining the deformation type of abnormal pipeline monitoring points, the first step is to conduct a preliminary screening using TCI. If TCI ≥ 0.7, then geological deformation verification is performed; if TCI ≤ 0.4, then equipment deformation verification is performed; if 0.4 < TCI < 0.7, then it is directly determined to be a composite deformation.

[0080] In some embodiments, the step of detecting that the trend consistency index is greater than or equal to a first preset threshold and performing geological deformation verification includes: If the local correlation coefficient is detected to be greater than or equal to a third preset threshold, or if the anomaly point offset ratio is detected to be less than or equal to a fourth preset threshold, the deformation type is determined to be the geological deformation. If the local correlation coefficient is found to be less than the third preset threshold and the anomaly point offset ratio is greater than the fourth preset threshold, the deformation type is determined to be the composite deformation.

[0081] In one possible example, the third preset threshold is 0.6 and the fourth preset threshold is 2.0.

[0082] When verifying geological deformation, if LCC ≥ 0.6 or ODR ≤ 2.0, the deformation type is determined to be geological deformation; if LCC < 0.6 and ODR > 2.0, the deformation type is determined to be composite deformation.

[0083] In some embodiments, the step of detecting that the trend consistency index is less than or equal to a second preset threshold and performing device deformation verification includes: If the local correlation coefficient is detected to be less than or equal to a fifth preset threshold, or if the anomaly point offset ratio is detected to be greater than or equal to a sixth preset threshold, the deformation type is determined to be the equipment deformation. It is detected that the local correlation coefficient is greater than the fifth preset threshold, and the outlier offset ratio is less than the sixth preset threshold, then the deformation type is determined as the composite deformation.

[0084] In a possible example, the fifth preset threshold is 0.3 and the sixth preset threshold is 2.5.

[0085] When performing device deformation verification, if LCC≤0.3, or ODR≥2.5, the deformation type is determined as device deformation; if LCC>0.3 and ODR<2.5, the deformation type is determined as composite deformation.

[0086] In summary, in the present application, the deformation types are judged as shown in Table 1 below, and Table 1 is a deformation type judgment table provided by the embodiments of the present application.

[0087] Table 1 Deformation Type Judgment Table

[0088] Specific explanations are given below: TCI distinguishes the dominant overall factor. When geological activities such as ground settlement and uplift occur, they will drive the simultaneous deformation of the pipeline and the road, so the overall trends of the two are highly consistent, which is represented as TCI≥0.7; equipment failures (such as flange wear and bracket damage) only affect the local part of the pipeline and are not related to road deformation, so the overall trends of the two differ greatly, which is represented as TCI≤0.4. When both geological factors and equipment factors act simultaneously, the overall trend is neither completely synchronized nor completely unrelated, so 0.4<TCI<0.7. For example, when regional geological settlement is superimposed with local pipeline corrosion deformation, TCI may be between 0.5 and 0.6.

[0089] LCC verifies the degree of local correlation. Deformation caused by geological factors remains consistent in the local area, and the local deformation trends of the pipeline and the road are consistent, so LCC≥0.6. For example, in a local ground collapse area, the settlement changes of the pipeline and the road in this area are synchronized, and the LCC value is high. Pipeline deformation caused by equipment failure is limited to the pipeline itself and has no correlation with the deformation of the surrounding road, so LCC≤0.3. For example, the fracture of a pipeline bracket causes the pipeline to sink, and there is no settlement at the corresponding road position, so the LCC value is close to 0. If a local area is affected by both geological and equipment factors, the degree of local correlation between the pipeline and the road is between the above two cases, that is, 0.3<LCC<0.6.

[0090] ODR identifies local mutation features. Deformation caused by geological factors is gradual and uniform, and the deformation difference between an abnormal point and its surrounding points is small, so ODR ≤ 2.0. For example, in regional subsidence, the subsidence difference of each pipeline monitoring point is not significant, and ODR is close to 1. Equipment failure will cause sudden local deformation of the pipeline (e.g., pipeline sagging caused by flange falling off), which has a significant difference from the normal trend of the surrounding area, so ODR ≥ 2.5. For example, the pipeline at a certain flange sinks by 5mm, while the surrounding points only sink by 1mm, so ODR = 5, which is far greater than 2.5. If local uniform geological deformation is superimposed with equipment sudden deformation, the deviation degree is between the above two cases, that is 2.0<ODR<2.5.

[0091] Therefore, in the deformation type judgment rule of this embodiment, the dominant type is preliminarily determined by TCI. When TCI ≥ 0.7 (suspected geological deformation), geological deformation leads to local synchronization in a local area, so LCC ≥ 0.6. Alternatively, geological deformation is gradual, and the deformation difference of each point in the same area is small, so ODR ≤ 2.0. If the above conditions are not met, it is determined that there is superposition of local problems, which is composite deformation.

[0092] When TCI ≤ 0.4 (suspected equipment deformation), equipment deformation shows no correlation between pipeline deformation and road deformation in the local area, so LCC ≤ 0.3. Alternatively, equipment failure will cause sudden amplification of local pipeline deformation, which has a significant difference from the normal trend of the surrounding area, so ODR ≥ 2.5. If the above conditions are not met, it is determined that there is superposition of geological problems, which is composite deformation.

[0093] When 0.4<TCI<0.7, it indicates that the influence of geological factors and equipment factors is in a "well-matched" state, and it is directly determined as composite deformation.

[0094] It can be seen that in this embodiment, by adopting the two-layer judgment logic of "whole + local", with TCI, LCC and ODR indicators as the core judgment basis, TCI focuses on the correlation between the overall trend of pipeline deformation and road deformation, and captures the regional impact caused by geological activities; LCC and ODR start from the local perspective, respectively verify the correlation of local deformation and the deviation degree of abnormal points, so as to accurately identify the deformation type, effectively avoid misjudgment, and ensure the accuracy and effectiveness of subsequent maintenance strategies.

[0095] Step S505: determine the maintenance strategy for each abnormal pipeline monitoring point according to the deformation type.

[0096] In some embodiments, the maintenance strategy for geological deformation addresses geological problems; the maintenance strategy for equipment deformation addresses equipment problems; the process of determining the maintenance strategy for composite deformation includes: calculating the weights of geological factors and equipment factors based on the trend characteristic parameters and the local characteristic parameters; and determining the order in which to address the geological problems and the equipment problems based on the relationship between the weights of the geological factors and the weights of the equipment factors.

[0097] The maintenance strategies for different types of deformation have different focuses. For geological deformation, the maintenance strategy prioritizes addressing geological issues; for example, if geological subsidence occurs, geological reinforcement is prioritized, followed by pipeline adjustment, such as raising and repositioning the pipeline. For equipment deformation, the priority is to address equipment issues, performing localized repairs and replacements.

[0098] For complex deformation, geological and equipment issues should be addressed in a coordinated manner, following the principle of weight priority or the principle of timing coordination.

[0099] If the principle of weight priority is followed, when the weight of geological factors is greater than that of equipment factors, geological problems should be addressed first, while equipment maintenance should also be taken into account; when the weight of geological factors is less than or equal to that of equipment factors, equipment failures should be addressed first, while geological monitoring should be carried out simultaneously.

[0100] If the principle of timing coordination is followed, geological reinforcement should be tried first, and equipment repair should be carried out after the strata are stable (settlement rate <0.5mm / day); if the equipment fails urgently (such as leakage), the equipment should be dealt with first, and geological emergency repair should be carried out at the same time.

[0101] For example, assuming geological factors have a weight of 60% and equipment factors have a weight of 40%, the maintenance strategy is as follows: Days 1-7: Complete grouting and geological reinforcement treatment; Days 8-10: Monitor formation stability and confirm settlement rate <1mm / day; Days 11-15: Repair equipment (e.g., replace flanges). Finally, after combined treatment, the deformation at a certain composite deformation point decreased from 12mm to 3mm.

[0102] Among them, the weight of geological factors And equipment factor weight The calculation formula is as follows:

[0103]

[0104] As can be seen, in this embodiment, differentiated maintenance strategies were formulated based on the characteristic indicators of geological deformation, equipment deformation, and combined deformation. For geological deformation, the settlement type was determined based on indicators such as TCI and ODR, and targeted measures such as grouting reinforcement or pipeline lifting were selected. For equipment deformation, the fault location was determined based on LCC and ODR, and flange repair or pipeline segment replacement was implemented. For combined deformation, the weights of geological factors were calculated. And equipment factor weight This allows for the identification of repair urgency. This precise classification enables repair resources to be focused on critical issues, avoiding indiscriminate repairs and significantly reducing repair time.

[0105] As can be seen, in this embodiment, the server of the deformation measurement system first acquires a first image set of multiple pipeline monitoring points and a second image set of multiple road monitoring points through a camera array; wherein, the pipeline monitoring points are monitoring points set on the pipeline; and the road monitoring points are monitoring points set along the pipeline laying route; secondly, the pipeline deformation of each pipeline monitoring point and the road deformation of each road monitoring point are calculated based on the first and second image sets, and pipeline deformation curves and road deformation curves are generated based on the pipeline deformation and road deformation curves; then, the deformation type of the abnormal pipeline monitoring point that has undergone deformation is determined based on the pipeline deformation curve and the road deformation curve, and the deformation type includes geological deformation, equipment deformation, and composite deformation; finally, the maintenance strategy for each abnormal pipeline monitoring point is determined based on the deformation type. Therefore, in this application, by acquiring the deformation of pipeline monitoring points and road monitoring points, accurately determining the deformation type, and then accurately formulating maintenance strategies based on the deformation type, the pertinence and effectiveness of pipeline deformation handling can be improved, blind maintenance can be avoided, and the utilization efficiency of maintenance resources can be greatly improved.

[0106] The above primarily describes the solutions of the embodiments of this application from the perspective of the method execution process. It is understood that, in order to achieve the above functions, the server includes the corresponding hardware structure and / or software modules for executing each function. Those skilled in the art should readily recognize that, based on the units and algorithm steps of the examples described in the embodiments provided herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0107] This application embodiment can divide the server into functional units according to the above method example. For example, each function can be divided into different functional units, or two or more functions can be integrated into one processing module. The integrated unit can be implemented in hardware or as a software program module. It should be noted that the unit division in this application embodiment is illustrative and only represents a logical functional division, while other division methods may be used in actual implementation.

[0108] In the case of using integrated units, please refer to Figure 7 , Figure 7 A functional unit structure block diagram of a deformation data processing device provided in this application embodiment is shown below. Figure 7 As shown, the deformation data processing device 7 includes: The acquisition unit 701 is used to acquire a first image set of multiple pipeline monitoring points through a camera array; and to acquire a second image set of multiple road monitoring points through the camera array; wherein the pipeline monitoring points are monitoring points set on the pipeline, and the road monitoring points are monitoring points set on the pipeline laying route; Processing unit 702 is configured to calculate the pipe deformation of each of the pipe monitoring points based on the first image set, and generate a pipe deformation curve of the pipe based on the pipe deformation; and to calculate the road deformation of each of the road monitoring points based on the second image set, and generate a road deformation curve of the pipeline laying route based on the road deformation; and to determine the deformation type of the abnormal pipe monitoring point that has undergone deformation based on the pipe deformation curve and the road deformation curve, the deformation type including geological deformation, equipment deformation and composite deformation; and to determine the maintenance strategy for each of the abnormal pipe monitoring points based on the deformation type.

[0109] As can be seen, in this embodiment, the server of the deformation measurement system first acquires a first image set of multiple pipeline monitoring points and a second image set of multiple road monitoring points through a camera array; wherein, the pipeline monitoring points are monitoring points set on the pipeline; and the road monitoring points are monitoring points set along the pipeline laying route; secondly, the pipeline deformation of each pipeline monitoring point and the road deformation of each road monitoring point are calculated based on the first and second image sets, and pipeline deformation curves and road deformation curves are generated based on the pipeline deformation and road deformation curves; then, the deformation type of the abnormal pipeline monitoring point that has undergone deformation is determined based on the pipeline deformation curve and the road deformation curve, and the deformation type includes geological deformation, equipment deformation, and composite deformation; finally, the maintenance strategy for each abnormal pipeline monitoring point is determined based on the deformation type. Therefore, in this application, by acquiring the deformation of pipeline monitoring points and road monitoring points, accurately determining the deformation type, and then accurately formulating maintenance strategies based on the deformation type, the pertinence and effectiveness of pipeline deformation handling can be improved, blind maintenance can be avoided, and the utilization efficiency of maintenance resources can be greatly improved.

[0110] In some embodiments, the first image set includes a first image taken during the first inspection and a second image taken during the second inspection; the processing unit 702 calculates the pipe deformation of each pipe monitoring point based on the first image set, including: determining the pixel change of each pipe monitoring point among the plurality of pipe monitoring points based on the first image and the second image; The acquisition unit 701 is further configured to acquire the world coordinates of the multiple pipeline monitoring points during the first inspection; and to acquire the extrinsic parameter matrix and intrinsic parameter matrix of the camera array. The processing unit 702 is also used to obtain the deformation of each pipeline monitoring point based on the pixel change, the world coordinates, the extrinsic parameter matrix, and the intrinsic parameter matrix.

[0111] In some embodiments, the processing unit 702 determines the deformation type of the abnormal pipeline monitoring point based on the pipeline deformation curve and the road deformation curve, including: calculating trend characteristic parameters of the pipeline deformation curve and the road deformation curve, the trend characteristic parameters including a trend consistency index, the trend consistency index being used to characterize the correlation between the changing trends of the pipeline deformation curve and the road deformation curve; calculating local characteristic parameters of the pipeline deformation curve and the road deformation curve, the local characteristic parameters including anomaly point offset ratio and local correlation coefficient, the anomaly point offset ratio being used to characterize the deviation of the deformation of the abnormal pipeline monitoring point from that of the normal pipeline monitoring point, the local correlation coefficient being used to characterize the correlation between the pipeline deformation and the road deformation within the local area where the abnormal pipeline monitoring point is located; and determining the deformation type of the abnormal pipeline monitoring point based on the trend characteristic parameters and the local characteristic parameters.

[0112] In some embodiments, the processing unit 702 determines the deformation type of the abnormal pipeline monitoring point based on the trend feature parameters and the local feature parameters, including: detecting that the trend consistency index is greater than or equal to a first preset threshold, and performing geological deformation verification; detecting that the trend consistency index is less than or equal to a second preset threshold, and performing equipment deformation verification; detecting that the trend consistency index is less than the first preset threshold and the trend consistency index is greater than the second preset threshold, and determining that the deformation type is the composite deformation.

[0113] In some embodiments, the processing unit 702 detects that the trend consistency index is greater than or equal to a first preset threshold and performs geological deformation verification, including: detecting that the local correlation coefficient is greater than or equal to a third preset threshold, or detecting that the anomaly point offset ratio is less than or equal to a fourth preset threshold, and determining that the deformation type is the geological deformation; detecting that the local correlation coefficient is less than the third preset threshold and the anomaly point offset ratio is greater than the fourth preset threshold, and determining that the deformation type is the composite deformation.

[0114] In some embodiments, the processing unit 702 detects that the trend consistency index is less than or equal to a second preset threshold and performs equipment deformation verification, including: detecting that the local correlation coefficient is less than or equal to a fifth preset threshold, or detecting that the anomaly point offset ratio is greater than or equal to a sixth preset threshold, and determining that the deformation type is the equipment deformation; detecting that the local correlation coefficient is greater than the fifth preset threshold and the anomaly point offset ratio is less than the sixth preset threshold, and determining that the deformation type is the composite deformation.

[0115] In some embodiments, the maintenance strategy for geological deformation addresses geological problems; the maintenance strategy for equipment deformation addresses equipment problems; the process of determining the maintenance strategy for composite deformation includes: calculating the weights of geological factors and equipment factors based on the trend characteristic parameters and the local characteristic parameters; and determining the order in which to address the geological problems and the equipment problems based on the relationship between the weights of the geological factors and the weights of the equipment factors.

[0116] This application provides a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implement the steps of any possible embodiment of the method.

[0117] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0118] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0120] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0123] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0124] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for processing deformation data, characterized in that, A server for a deformation measurement system, the deformation measurement system including the server and a deformation measurement device, the deformation measurement device including a camera array and a moving platform; the method includes: The camera array acquires a first image set of multiple pipeline monitoring points; and the camera array acquires a second image set of multiple road monitoring points; the pipeline monitoring points are monitoring points set on the pipeline, and the road monitoring points are monitoring points set along the pipeline laying route; The pipe deformation is calculated for each pipe monitoring point based on the first image set, and the pipe deformation curve is generated based on the pipe deformation. The road deformation variable of each road monitoring point is calculated based on the second image set, and the road deformation curve of the pipeline laying route is generated based on the road deformation variable. The deformation type of the abnormal pipeline monitoring point that has undergone deformation is determined based on the pipeline deformation curve and the road deformation curve. The deformation type includes geological deformation, equipment deformation and combined deformation. The maintenance strategy for each abnormal pipeline monitoring point is determined based on the deformation type.

2. The method according to claim 1, characterized in that, The first image set includes a first image taken during the first inspection and a second image taken during the second inspection; calculating the pipe deformation at each pipe monitoring point based on the first image set includes: The pixel change of each pipeline monitoring point among the plurality of pipeline monitoring points is determined based on the first image and the second image; Obtain the world coordinates of the multiple pipeline monitoring points during the first inspection; and obtain the extrinsic parameter matrix and intrinsic parameter matrix of the camera array; The deformation of each pipeline monitoring point is obtained based on the pixel change, the world coordinates, the extrinsic parameter matrix, and the intrinsic parameter matrix.

3. The method according to claim 1, characterized in that, The process of determining the deformation type of abnormal pipeline monitoring points based on the pipeline deformation curve and the road deformation curve includes: Calculate the trend characteristic parameters of the pipeline deformation curve and the road deformation curve. The trend characteristic parameters include a trend consistency index, which is used to characterize the degree of correlation between the changing trends of the pipeline deformation curve and the road deformation curve. Calculate the local characteristic parameters of the pipeline deformation curve and the road deformation curve. The local characteristic parameters include the anomaly point offset ratio and the local correlation coefficient. The anomaly point offset ratio is used to characterize the degree of deviation between the deformation of the abnormal pipeline monitoring point and the normal pipeline monitoring point. The local correlation coefficient is used to characterize the correlation between the pipeline deformation and the road deformation in the local area where the abnormal pipeline monitoring point is located. The deformation type of the abnormal pipeline monitoring point is determined based on the trend characteristic parameters and the local characteristic parameters.

4. The method according to claim 3, characterized in that, Determining the deformation type of the abnormal pipeline monitoring point based on the trend characteristic parameters and the local characteristic parameters includes: If the trend consistency index is detected to be greater than or equal to a first preset threshold, geological deformation verification is performed. If the trend consistency index is detected to be less than or equal to the second preset threshold, equipment deformation verification is performed. If the trend consistency index is detected to be less than the first preset threshold and greater than the second preset threshold, the deformation type is determined to be the composite deformation.

5. The method according to claim 4, characterized in that, The step of detecting that the trend consistency index is greater than or equal to a first preset threshold and then performing geological deformation verification includes: If the local correlation coefficient is detected to be greater than or equal to a third preset threshold, or if the anomaly point offset ratio is detected to be less than or equal to a fourth preset threshold, the deformation type is determined to be the geological deformation. If the local correlation coefficient is found to be less than the third preset threshold and the anomaly point offset ratio is greater than the fourth preset threshold, the deformation type is determined to be the composite deformation.

6. The method according to claim 4, characterized in that, The step of detecting that the trend consistency index is less than or equal to a second preset threshold and performing equipment deformation verification includes: If the local correlation coefficient is detected to be less than or equal to a fifth preset threshold, or if the anomaly point offset ratio is detected to be greater than or equal to a sixth preset threshold, the deformation type is determined to be the equipment deformation. If the local correlation coefficient is found to be greater than the fifth preset threshold and the anomaly point offset ratio is less than the sixth preset threshold, the deformation type is determined to be the composite deformation.

7. The method according to claim 3, characterized in that, The maintenance strategy for geological deformation addresses geological problems; the maintenance strategy for equipment deformation addresses equipment problems. The process of determining the maintenance strategy for the composite deformation includes: The weights of geological factors and equipment factors are calculated based on the trend characteristic parameters and the local characteristic parameters. The order in which to solve the geological problem and the equipment problem is determined based on the relationship between the weights of the geological factors and the weights of the equipment factors.

8. A deformation data processing device, characterized in that, A server for a deformation measurement system, the deformation measurement system including the server and a deformation measurement device, the deformation measurement device including a camera array and a moving platform; the processing device includes: The acquisition unit is configured to acquire a first image set of multiple pipeline monitoring points through a camera array; and to acquire a second image set of multiple road monitoring points through the camera array; wherein the pipeline monitoring points are monitoring points set on the pipeline, and the road monitoring points are monitoring points set along the pipeline laying route; The processing unit is configured to calculate the pipe deformation of each of the pipeline monitoring points based on the first image set, and generate a pipe deformation curve of the pipeline based on the pipe deformation; and to calculate the road deformation of each of the road monitoring points based on the second image set, and generate a road deformation curve of the pipeline laying route based on the road deformation; and to determine the deformation type of the abnormal pipeline monitoring point that has undergone deformation based on the pipe deformation curve and the road deformation curve, wherein the deformation type includes geological deformation, equipment deformation and combined deformation; and to determine a maintenance strategy for each of the abnormal pipeline monitoring points based on the deformation type.

9. A deformation measurement system, characterized in that, The deformation measurement system includes a server and a deformation measurement device, the deformation measurement device including a camera array and a moving platform; the server is used to execute the step instructions in the method as described in any one of claims 1-7.

10. A server, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the step instructions of the method as described in any one of claims 1-7 when it invokes the computer program in the memory.

Images