Underground pipeline simulation operation method and device based on spatial distribution

Abstract

The embodiment of the invention discloses an underground pipeline simulation operation method and device based on spatial distribution. A specific embodiment of the method comprises the steps of collecting a multi-source underground pipeline data set in a target city area; performing data standardization on each piece of multi-source underground pipeline data in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set; establishing an initial underground pipeline three-dimensional structure model; performing pipeline space alignment on the initial underground pipeline three-dimensional structure model to generate a target pipeline three-dimensional structure model; and adding the target pipeline three-dimensional structure model to a three-dimensional pipe network visual distribution diagram layer in a preset target urban area underground distribution network global twin space, and performing underground pipeline simulation operation on the three-dimensional pipe network visual distribution diagram layer according to preset pipeline operation parameters. According to the embodiment, the accuracy of the generated target pipeline three-dimensional structure model can be improved.

Description

Technical Field

[0001] The embodiments disclosed herein relate to the fields of computer technology and underground pipeline simulation operation, specifically to a method and apparatus for simulating underground pipeline operation based on spatial distribution. Background Technology

[0002] With the increasing demand for urban power supply, the scale of underground power distribution networks is growing accordingly, and the operating environment of underground power distribution networks is becoming increasingly complex, posing new requirements for power supply reliability. Constantly changing external factors increase the difficulty of operation and maintenance management of urban underground power cables. Currently, when implementing underground pipeline models, inaccurate positioning of underground pipelines often makes it difficult to accurately determine their spatial distribution, thus hindering safe construction work for the maintenance and repair of urban underground power distribution networks.

[0003] The information disclosed in this background section is only intended to enhance the understanding of the background of the inventive concept, and therefore may contain information that does not form prior art known to those skilled in the art. Summary of the Invention

[0004] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0005] Some embodiments of this disclosure propose a method and apparatus for simulating the operation of underground pipelines based on spatial distribution, in order to solve the technical problems mentioned in the background section above.

[0006] In a first aspect, some embodiments of this disclosure provide a method for simulating the operation of underground pipelines based on spatial distribution. The method includes: collecting a set of multi-source underground pipeline data within a target urban area, wherein each multi-source underground pipeline data set in the set is obtained from different data platforms; standardizing each multi-source underground pipeline data in the set to generate a standardized multi-source underground pipeline data set; and establishing an initial three-dimensional structural model of underground pipelines based on the standardized multi-source underground pipeline data set, according to the spatial distribution of underground pipelines within the target urban area. The initial three-dimensional structure model of underground pipelines consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. Based on the three-dimensional map of the preset target city area, the above-mentioned initial three-dimensional structure model of underground pipelines is spatially aligned to generate the target pipeline three-dimensional structure model. The above-mentioned target pipeline three-dimensional structure model is added to the three-dimensional pipeline network visualization distribution layer in the preset target city area underground distribution network full-domain twin space, and the underground pipeline simulation operation is performed on the above-mentioned three-dimensional pipeline network visualization distribution layer according to the preset pipeline operation parameters.

[0007] Secondly, some embodiments of this disclosure provide a spatially distributed underground pipeline simulation operation device, which includes: a data acquisition unit configured to acquire a set of multi-source underground pipeline data within a target urban area, wherein each multi-source underground pipeline data set in the set is acquired from different data platforms; a data standardization unit configured to standardize the data of each multi-source underground pipeline in the set to generate a standardized multi-source underground pipeline data set; and a construction unit configured to establish an initial three-dimensional structure model of underground pipelines based on the standardized multi-source underground pipeline data set and according to the spatial distribution of underground pipelines within the target urban area. The initial underground pipeline 3D structure model consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of the underground pipeline, and the underground pipeline edge represents the underground pipeline between two intersection points. The pipeline space alignment unit is configured to perform pipeline space alignment on the above-mentioned initial underground pipeline 3D structure model according to the 3D map of the preset target urban area to generate the target pipeline 3D structure model. The underground pipeline simulation operation unit is configured to add the above-mentioned target pipeline 3D structure model to the 3D pipeline network visualization distribution layer in the preset target urban area underground distribution network full-domain twin space, and to perform underground pipeline simulation operation on the above-mentioned 3D pipeline network visualization distribution layer according to the preset pipeline operation parameters.

[0008] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation of the first aspect above.

[0009] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.

[0010] The above-described embodiments of this disclosure have the following beneficial effects: The spatial distribution-based underground pipeline simulation operation method of some embodiments of this disclosure can accurately determine the spatial distribution of underground pipelines, thereby assisting in the safe construction work of urban underground power distribution network maintenance. Specifically, the reason why it is difficult to accurately determine the spatial distribution of underground pipelines, and thus difficult to assist in the safe construction work of urban underground power distribution network maintenance, is that: with the increasing demand for urban power supply, the scale of underground pipelines in the distribution network is growing synchronously, and the operating environment of underground pipelines in the urban power grid is becoming increasingly complex, making the location of underground pipelines inaccurate. Based on this, the spatial distribution-based underground pipeline simulation operation method of some embodiments of this disclosure, firstly, considering the problem of the complexity and difficulty in locating underground pipelines, collects a multi-source underground pipeline data set within the target urban area, wherein each multi-source underground pipeline data set in the multi-source underground pipeline data set is obtained from different data platforms. Here, by collecting underground pipelines from multiple different data platforms, mutual calibration can be used to improve the accuracy of underground pipeline location. Then, the multi-source underground pipeline data in the aforementioned multi-source underground pipeline data set are standardized to generate a standardized multi-source underground pipeline data set. Data standardization unifies data from different data platforms, facilitating data use. Next, based on the standardized multi-source underground pipeline data set, an initial three-dimensional underground pipeline structure model is established according to the spatial distribution of underground pipelines within the target city area. This initial model consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. This initial model helps to preliminarily determine the spatial distribution of underground pipelines. Then, based on a pre-defined three-dimensional map of the target city area, the initial model is spatially aligned to generate the target pipeline three-dimensional structure model. This alignment further improves the accuracy of the spatial distribution of underground pipelines in the target model. Finally, the aforementioned 3D structural model of the target pipeline is added to the 3D pipeline visualization distribution layer in the preset twin space of the underground power distribution network in the target urban area. Based on preset pipeline operation parameters, the underground pipelines in the aforementioned 3D pipeline visualization distribution layer are simulated. This allows for the accurate determination of the spatial distribution of underground pipelines, which can be used to assist in the safe construction work of urban underground power distribution network maintenance. Attached Figure Description

[0011] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0012] Figure 1 This is a flowchart of some embodiments of the spatially distributed underground pipeline simulation operation method according to this disclosure;

[0013] Figure 2 This is a schematic diagram of the spatial distribution structure of underground pipelines;

[0014] Figure 3 A diagram illustrating the relative position adjustment;

[0015] Figure 4 This is a schematic diagram of the structure of some embodiments of the spatially distributed underground pipeline simulation operation device according to the present disclosure;

[0016] Figure 5 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation

[0017] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0018] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0019] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0020] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0021] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0022] This disclosure will now be described in detail with reference to the accompanying drawings and embodiments.

[0023] Figure 1 A flow chart 100 of some embodiments of the spatially distributed underground pipeline simulation operation method according to this disclosure is shown. This spatially distributed underground pipeline simulation operation method includes the following steps:

[0024] Step 101: Collect a set of multi-source underground pipeline data within the target city area.

[0025] In some embodiments, the execution entity (e.g., a computing device) of the spatially distributed underground pipeline simulation operation method can collect a set of multi-source underground pipeline data within a target urban area via wired or wireless means. Each multi-source underground pipeline data set is acquired from a different data platform. Here, each multi-source underground pipeline data set can correspond to a single data platform. Multi-source underground pipeline data can characterize the spatial distribution of an underground pipeline.

[0026] In some optional implementations of certain embodiments, the above-mentioned execution entity collecting a set of multi-source underground pipeline data within the target urban area may include the following steps:

[0027] According to the preset platform data interface group, multi-source underground pipeline data groups are obtained from each platform data interface to obtain a multi-source underground pipeline data group set. Among them, each platform data interface corresponds to a data platform, and each platform data interface in the platform data interface group corresponds to at least one of the following data platforms: power pipeline platform, water supply pipeline platform, gas pipeline platform, and communication pipeline platform.

[0028] Here, each multi-source underground pipeline data set corresponds to a data platform. Specifically, the multi-source underground pipeline data set corresponding to the power pipeline platform can characterize the spatial distribution of electrical circuit pipelines. The multi-source underground pipeline data set corresponding to the water supply pipeline platform can characterize the spatial distribution of water supply pipelines. The multi-source underground pipeline data set corresponding to the gas pipeline platform can characterize the spatial distribution of gas pipelines. The multi-source underground pipeline data set corresponding to the communication pipeline platform can characterize the spatial distribution of fiber optic pipelines.

[0029] In practice, considering the difficulty in accurately controlling the spatial distribution when locating a single type of underground pipeline, multiple underground pipelines are introduced for coordinated location. This avoids pipeline overlap caused by excessive positioning deviation when locating a single type of pipeline.

[0030] It should be noted that the aforementioned computing devices can be either hardware or software. When the computing device is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device is software, it can be installed on the hardware devices listed above. It can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here.

[0031] Step 102: Standardize the data of each multi-source underground pipeline in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set.

[0032] In some embodiments, the aforementioned implementing entity may standardize the data of each multi-source underground pipeline in the aforementioned multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set.

[0033] In some optional implementations of certain embodiments, the multi-source underground pipeline data in the multi-source underground pipeline data set includes a pipeline attribute field group and the field values ​​corresponding to each pipeline attribute field. The execution entity performs data standardization on each multi-source underground pipeline data in the aforementioned multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set, which may include the following steps:

[0034] The first step is to standardize the format of the multi-source underground pipeline data in the aforementioned multi-source underground pipeline data set to obtain a standard format pipeline data set. This can be achieved using data conversion tools to convert the multi-source underground pipeline data into data files of the same format.

[0035] Specifically, the pandas library can be used to convert multi-source underground pipeline data in formats such as CSV (Comma-Separated Values), Excel, and JSON into a unified format.

[0036] The second step involves mapping the pipeline attribute fields in the standard format pipeline data set, based on a pre-established field mapping table and following a preset field arrangement order, to obtain a mapped pipeline data set. The mapped pipeline data in this set includes mapped attribute field groups, which in turn include mapped attribute fields corresponding to the underground pipeline route coordinate sets. The field mapping table can include field names and standard field names from various multi-source underground pipeline data from different data platforms. This field mapping allows for standardized naming of pipeline attribute fields in various standard format pipeline data sets, resulting in the mapped pipeline data set.

[0037] The third step involves interpolating the coordinates of each underground pipeline route included in the mapped pipeline data set to obtain an interpolated pipeline data set. This interpolated pipeline data set includes a set of interpolated pipeline route coordinates. Here, a pre-defined interpolation algorithm can be used to interpolate the coordinates of each underground pipeline route included in the mapped pipeline data set to obtain the interpolated pipeline data set. In practice, considering the different scales of pipeline route coordinates across different platforms and the possibility of missing data, an interpolation algorithm can be used to supplement missing values ​​and coordinate spacing.

[0038] As an example, the interpolation algorithm may include, but is not limited to, at least one of the following: linear interpolation algorithm, inverse distance weighting method, kriging method, or spline function method, etc.

[0039] The fourth step involves performing coordinate transformation on the coordinates of each underground pipeline route in the interpolated pipeline data set, resulting in a standardized multi-source underground pipeline data set. Coordinate transformation is used to convert the coordinates of underground pipeline routes in different coordinate systems to the same coordinate system. Here, a preset coordinate transformation method can be used to transform the coordinates of each underground pipeline route from its original coordinate system to the preset target city's three-dimensional coordinate system.

[0040] As examples, coordinate transformation methods may include ArcGIS (Arc Geographic Information System) coordinate system transformation methods, QGIS (On the Fly Reprojection) coordinate system transformation methods, etc. The target city's three-dimensional coordinate system may be a geocentric coordinate system that includes the aforementioned target city region.

[0041] Step 103: Based on the standardized multi-source underground pipeline data set, establish an initial three-dimensional structure model of underground pipelines according to the spatial distribution of underground pipelines within the target city area.

[0042] In some embodiments, the aforementioned implementing entity may establish an initial three-dimensional structure model of underground pipelines based on the aforementioned standardized multi-source underground pipeline data set, according to the spatial distribution of underground pipelines within the target urban area. This initial three-dimensional structure model of underground pipelines consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points.

[0043] In some optional implementations of certain embodiments, the aforementioned execution entity, based on the aforementioned standardized multi-source underground pipeline data set, establishes an initial three-dimensional structural model of underground pipelines according to the spatial distribution of underground pipelines within the target urban area, including:

[0044] The first step, for each standardized multi-source underground pipeline data set in the above-mentioned standardized multi-source underground pipeline data set, is to perform the following construction steps:

[0045] The first sub-step involves fitting the interpolated pipeline route coordinate set included in the standardized multi-source underground pipeline data set to obtain a set of underground pipeline equations. This fitting can be performed using either the least squares method or a polynomial fitting method. Furthermore, each underground pipeline equation can characterize the three-dimensional spatial distribution of an underground pipeline.

[0046] Sub-step two involves determining the pipeline intersection points and critical points of each underground pipeline equation in the aforementioned set of underground pipeline equations as underground pipeline nodes, thus obtaining a set of underground pipeline nodes. Each underground pipeline equation can be projected onto a horizontal plane in the target city's three-dimensional coordinate system. Then, the coordinates of the intersecting pipeline equations after projection can be used to determine the pipeline intersection points. Here, the critical point can be the intersection of a pre-selected coordinate region boundary and the projected pipeline equation.

[0047] Sub-step three involves identifying the pipelines between every two underground pipeline nodes in the aforementioned underground pipeline equation set as underground pipeline edges, thus obtaining a set of underground pipeline edges. Within the preset 3D coordinate system of the target city, the aforementioned underground pipeline node set and the aforementioned underground pipeline edge set constitute a single-attribute underground pipeline spatial distribution structure map. The single attribute is the pipeline attribute corresponding to the aforementioned standardized multi-source underground pipeline data set. This single-attribute underground pipeline spatial distribution structure map represents the distribution of underground pipelines corresponding to a specific data platform (single pipeline category).

[0048] As an example, such as Figure 2 As shown. Figure 2 Figure (1) is a spatial distribution diagram of underground pipelines corresponding to the power pipeline platform, which represents the distribution of underground power supply pipelines in the target city area. Figure 2 Figure (2) in the figure is a spatial distribution structure diagram of underground pipelines corresponding to the water supply pipeline platform, which represents the distribution of underground water supply pipelines in the target city area. Figure 2 Figure (3) is a spatial distribution diagram of underground pipelines corresponding to the gas pipeline platform, which represents the distribution of underground gas pipelines in the target city area. Figure 2Figure (4) is a spatial distribution diagram of the underground pipelines of the corresponding communication pipeline platform, which represents the distribution of underground communication (fiber optic) pipelines in the target city area.

[0049] The second step involves overlaying the spatial distribution maps of underground pipelines corresponding to each standardized multi-source underground pipeline data set to obtain a three-dimensional structure map of the multi-source underground pipelines. This pipeline structure overlay can be achieved by binding the spatial distribution maps of each underground pipeline to obtain an overall structure map of the multi-source pipelines, which serves as the three-dimensional structure map of the multi-source underground pipelines.

[0050] The third step involves using the mapped attribute fields of the corresponding pipeline data from the aforementioned standardized multi-source underground pipeline data set to fill the data in the 3D structure diagram of the multi-source underground pipeline, thereby generating an initial 3D structure model of the underground pipeline. Specifically, mapped attribute fields representing pipeline dimensions can be selected to fill the data on the corresponding underground pipeline edges in the 3D structure diagram. In practice, the 3D structure diagram of multi-source underground pipelines only represents the spatial distribution of various underground pipelines and fails to reflect pipeline parameters (e.g., pipeline diameter). Therefore, to facilitate subsequent underground pipeline simulation operations based on this, data filling is used to assign actual pipeline parameters to each underground pipeline edge in the 3D structure diagram of the multi-source underground pipeline, resulting in the initial 3D structure model of the underground pipeline.

[0051] Optionally, the aforementioned executing entity determines the pipeline intersections and critical points of each underground pipeline equation in the aforementioned underground pipeline equation set as underground pipeline nodes, thereby obtaining an underground pipeline node set, which may include the following steps:

[0052] The first step is to determine the underground pipeline connection information for each underground pipeline equation based on the mapped attribute fields corresponding to each underground pipeline equation in the aforementioned underground pipeline equation set. This connection information includes the pipeline class identifier and pipeline connection identifier for each underground pipeline equation. Here, the mapped attribute field representing the pipeline connection relationship can be selected from the mapped attribute fields as the target attribute field. The field values ​​of the target attribute field (i.e., the pipeline class identifier and pipeline connection identifier) ​​are then used to determine the underground pipeline connection information for each underground pipeline equation. Each underground pipeline equation can correspond to one pipeline class identifier and one pipeline connection identifier. The pipeline class identifier represents the transport level of the underground pipeline. The pipeline connection identifier represents the identifier indicating the connection between one underground pipeline and other underground pipelines.

[0053] The second step involves determining the pipeline intersection points of each underground pipeline equation based on the aforementioned underground pipeline connection information, thus obtaining a set of pipeline intersection points. First, the coordinates connecting the equations (underground pipeline equations) between every two underground pipelines corresponding to each pipeline connection identifier can be used as the initial intersection points, resulting in an initial intersection point set. Second, this initial intersection point set can be deduplicated to obtain the final pipeline intersection point set. Here, the number of initial intersection points whose relative distance is less than a preset distance threshold can be counted. Then, the initial intersection point with the largest count is removed, and the count is repeated. Finally, if no initial intersection point has a relative distance less than the preset distance threshold, deduplication is considered complete. The remaining initial intersection points are then designated as the pipeline intersection point set.

[0054] In practice, when there are no pipeline connection markers but the underground pipeline equations of underground pipelines have intersecting coordinates in a plane, it indicates that the two underground pipelines are simply set in the same or similar positions (for example, the two underground pipelines are placed one above the other), and there is no interaction between the pipelines.

[0055] The third step is to determine the critical points of each underground pipeline equation in the above-mentioned underground pipeline equation set based on the value boundaries of the three-dimensional coordinate system of the target city, thus obtaining the critical point set. Here, the critical point is the coordinate position of the underground pipeline equation on the value boundaries.

[0056] The fourth step is to identify each pipeline intersection point in the above pipeline intersection point set and each critical point in the above critical point set as underground pipeline nodes, thus obtaining the underground pipeline node set.

[0057] In practice, simulating individual pipelines separately can easily lead to difficulties in merging them, and even if merging is possible, pipeline deviation is likely. Therefore, the above-described implementation of this application uses pipeline intersections and critical points as underground pipeline nodes, which can be used to initially locate the spatial structure of underground pipelines, facilitating the establishment of the relative positional relationships of multiple pipelines. This improves the accuracy of constructing the initial three-dimensional structural model of underground pipelines.

[0058] Step 104: Based on the preset 3D map of the target city area, perform pipeline spatial alignment on the initial underground pipeline 3D structure model to generate the target pipeline 3D structure model.

[0059] In some embodiments, the aforementioned execution entity may perform pipeline spatial alignment on the initial underground pipeline three-dimensional structure model based on a preset three-dimensional map of the target urban area to generate a target pipeline three-dimensional structure model.

[0060] Optionally, before generating the target pipeline three-dimensional structure model by aligning the initial underground pipeline three-dimensional structure model with the three-dimensional map of the preset target city area, the execution entity may further include the following steps:

[0061] The first step is to acquire a pre-collected point cloud dataset of underground pipelines within the target city area. This point cloud dataset can be obtained using LiDAR when the underground pipeline construction is completed. Each point cloud dataset can correspond to a specific data platform, representing a particular type of underground pipeline (e.g., an underground pipeline for power supply).

[0062] The second step involves performing the following correction steps for each underground pipeline spatial distribution structure diagram and corresponding underground pipeline point cloud data in the initial three-dimensional underground pipeline structure model:

[0063] Sub-step one involves extracting underground pipeline features from the underground pipeline point cloud data corresponding to the aforementioned underground pipeline spatial distribution structure map to generate underground pipeline point cloud data. This can be done using a preset point cloud extraction algorithm. Here, the underground pipeline point cloud data can be point cloud data corresponding to the location of the underground pipeline.

[0064] As an example, the point cloud extraction algorithm mentioned above may include, but is not limited to, at least one of the following: threshold-based point cloud segmentation algorithm, region growing algorithm, model-based fitting algorithm, or machine learning algorithm, etc.

[0065] Sub-step two involves feature aggregation of the aforementioned underground pipeline point cloud data to generate characteristic equations for the underground pipeline point cloud. Specifically, a cylinder fitting method can be used to fit the underground pipeline point cloud data to obtain the cylinder parameters. Then, the axis equation of the cylinder is determined as the characteristic equation of the underground pipeline point cloud.

[0066] In addition, the skeletonization algorithm can be used to aggregate features of the underground pipeline point cloud data to generate feature equations for the underground pipeline point cloud.

[0067] Optionally, the above-mentioned underground pipeline point cloud data can be aggregated using a mean shift algorithm to generate feature equations for the underground pipeline point cloud.

[0068] Sub-step three: Based on the underground pipeline nodes in the above underground pipeline node set, segment the underground pipeline point cloud characteristic equation to generate a segmented pipeline group set.

[0069] The third step involves using the segmented pipeline set to correct the morphology of each underground pipeline edge in the above-mentioned underground pipeline spatial distribution structure map, thereby generating a corrected 3D pipeline structure model. Specifically, for each underground pipeline edge, it can be fused with the corresponding segmented pipeline to obtain the corrected underground pipeline edge. Here, the pipeline centerline of the underground pipeline edge and the segmented pipeline can be fitted. Then, after fusing each underground pipeline edge with the corresponding segmented pipeline, a moving average filtering algorithm is used to filter the overall centerline of the underground pipeline containing that edge, in order to eliminate segmentation fusion errors. Finally, using the mapped attribute fields of the corresponding pipeline data from the above-mentioned standardized multi-source underground pipeline data set again, the corrected underground pipeline edges are filled with data to obtain the corrected 3D pipeline structure model.

[0070] Here, during pipeline morphology correction, the underground pipeline edges corresponding to each underground pipeline equation can be corrected sequentially according to the corresponding pipeline level identifier, from high to low level. Furthermore, before the final data filling, constraints can be added during the pipeline morphology correction process to allow for the cancellation of corrections where the corrected underground pipeline edges do not meet the constraints, enabling a re-correction of the pipeline morphology. Here, the constraint can be that the coordinate error between the endpoint of the corrected underground pipeline edge and the connecting endpoint of another corrected underground pipeline edge corresponding to the same underground pipeline node is less than a preset error threshold. This limits overfitting during the pipeline morphology correction process.

[0071] In some optional implementations of certain embodiments, the execution entity performs pipeline spatial alignment on the initial underground pipeline three-dimensional structure model based on a preset three-dimensional map of the target urban area to generate a target pipeline three-dimensional structure model, which may include the following steps:

[0072] The first step is to extract key points from the aforementioned 3D map to generate a set of pipeline key point coordinates. Each map element in the 3D map (e.g., streetlights, buildings, roads, manhole covers) has a corresponding element identifier. Therefore, the element identifiers for the corresponding manhole covers can be extracted from the 3D map. The coordinates of the manhole covers are then used as the coordinates of the pipeline key points, resulting in the pipeline key point coordinate set. Here, the manhole covers can be those for power supply pipelines, water supply pipelines, gas pipelines, and communication pipelines.

[0073] The second step involves classifying the key point coordinates in the above-mentioned pipeline key point coordinate set based on the corrected 3D pipeline structure model, thereby obtaining a set of single-attribute pipeline key point coordinate groups. This classification can be done by categorizing the key point coordinates in the above-mentioned pipeline key point coordinate set according to different pipeline types. Specifically, the coordinates of each pipeline key point corresponding to the same pipeline type (e.g., a power supply pipeline) can be determined as a single-attribute pipeline key point coordinate group.

[0074] The third step involves adjusting the underground pipeline spatial distribution structure map corresponding to each single-attribute pipeline key point coordinate group in the aforementioned set of single-attribute pipeline key point coordinate groups to generate the adjusted three-dimensional pipeline structure model. This pipeline adjustment involves separately adjusting the underground pipeline spatial distribution structure map for each single attribute. First, the correspondence between underground pipeline nodes and single-attribute pipeline key point coordinates in the underground pipeline spatial distribution structure map can be determined using location identifiers. Then, for each underground pipeline node and its corresponding single-attribute pipeline key point coordinate, if the relative distance is greater than a preset difference, a point on the line connecting the underground pipeline node and its corresponding single-attribute pipeline key point coordinate can be used as the corrected underground pipeline node. This point on the line connecting the underground pipeline node and its corresponding single-attribute pipeline key point coordinate can be selected according to a preset ratio. Thus, pipeline adjustments can be performed on each underground pipeline node in the corresponding underground pipeline spatial distribution structure map of the aforementioned corrected three-dimensional pipeline structure model to generate the adjusted three-dimensional pipeline structure model.

[0075] In practice, considering the different relative positional relationships between the key point coordinates of each manhole cover's single-attribute pipeline and the underground pipeline nodes, the threshold values ​​corresponding to different underground pipeline nodes can be different when adjusting pipelines.

[0076] The fourth step involves adjusting the relative positions of the multi-source underground pipelines in the adjusted 3D structure model of the pipeline based on the coordinate relationships between different single-attribute pipeline key point coordinate groups. This adjustment generates the target pipeline 3D structure model. Specifically, the relative position adjustment of the multi-source pipelines involves adjusting the spatial distribution structure of each single-attribute underground pipeline. First, for each single-attribute pipeline key point coordinate, the nearest single-attribute pipeline key point coordinate from each different single-attribute pipeline key point coordinate group is selected as a reference coordinate group. Then, the corrected underground pipeline nodes corresponding to each reference coordinate in the reference coordinate group are determined as the underground pipeline node group to be adjusted. Finally, the relative position vector from the centroid of the polygon enclosed by each reference coordinate in the reference coordinate group to each reference coordinate is determined, resulting in the first relative position vector group. Simultaneously, the relative position vector from the centroid of the polygon formed by each underground pipeline node to be adjusted in the group of underground pipeline nodes to be adjusted is determined, resulting in a second set of relative position vectors. Then, the vector similarity between the first relative position vector and the corresponding second relative position vector is determined. If the vector similarity is less than a preset similarity threshold, a relative positional error is determined between the corresponding underground pipeline node to be adjusted and the reference coordinates. Therefore, the underground pipeline nodes to be adjusted can be adjusted so that the vector similarity between the first relative position vector and the corresponding second relative position vector is less than or equal to the preset similarity threshold. This achieves the adjustment of the relative positions of the underground pipeline nodes to be adjusted in the multi-source underground pipeline 3D structure diagram of the adjusted pipeline 3D structure model, thereby generating the target pipeline 3D structure model.

[0077] In addition, underground pipeline nodes can be the endpoints of underground pipeline edges. During the correction and adjustment of underground pipeline nodes, the underground pipeline edges corresponding to the underground pipeline nodes are also adjusted accordingly.

[0078] As an example, refer to Figure 3 . Figure 3 This is a diagram illustrating the relative position adjustment. Figure 3 The left figure in the diagram is a schematic diagram of the relative position vector (dashed line with arrows) between the centroid (black dot in the figure) of the polygon enclosed by each reference coordinate in the reference coordinate group and each reference coordinate.

[0079] Figure 3 The right image in the diagram is a schematic diagram showing the relative position vector from the centroid of the polygon formed by the underground pipeline nodes to be adjusted in the group of underground pipeline nodes to each node. Specifically, there is a significant positional deviation between the two coordinates corresponding to the red dot in the lower right corner of the two images.

[0080] In practice, considering the decrease in accuracy of the initial 3D underground pipeline structure model due to data errors, coordinate transformation errors, and other factors during construction, and also considering that manhole covers are more clearly visible and have a more defined relative positional relationship with underground pipelines, the coordinates of manhole covers are introduced as key point coordinates for pipelines to facilitate further calibration of the initial 3D underground pipeline structure model. Specifically, firstly, based on the coordinates of each pipeline's key points, adjustments are made for each individual pipeline to improve the accuracy of the single-attribute underground pipeline spatial distribution structure map. Then, by combining the spatial distribution relationship between the coordinates of key points corresponding to different pipelines, the corrected underground pipeline nodes in the multi-source underground pipeline 3D structure map are corrected again. This significantly eliminates errors in the underground pipeline construction process, thereby further improving the accuracy of the target pipeline 3D structure model.

[0081] Step 105: Add the three-dimensional structural model of the target pipeline to the three-dimensional pipeline visualization distribution layer in the preset target city area underground distribution network twin space, and simulate the underground pipeline operation on the three-dimensional pipeline visualization distribution layer according to the preset pipeline operation parameters.

[0082] In some embodiments, the aforementioned execution entity can add the three-dimensional structural model of the target pipeline to a three-dimensional pipeline network visualization distribution layer in a preset target urban area underground power distribution network twin space, and perform underground pipeline simulation operation on the three-dimensional pipeline network visualization distribution layer according to preset pipeline operation parameters. The target urban area underground power distribution network twin space can be a simulation space established in the target city's three-dimensional coordinate system. The three-dimensional pipeline network visualization distribution layer can be a simulation layer simulating various underground pipelines. The pipeline operation parameters can be data retrieved from actual pipeline parameters, such as actual power transmission data of cables. Therefore, by simulating underground pipeline operation on the three-dimensional pipeline network visualization distribution layer, safe construction work for urban underground power distribution network maintenance can be assisted.

[0083] The above-described embodiments of this disclosure have the following beneficial effects: The spatial distribution-based underground pipeline simulation operation method of some embodiments of this disclosure can accurately determine the spatial distribution of underground pipelines, thereby assisting in the safe construction work of urban underground power distribution network maintenance. Specifically, the reason why it is difficult to accurately determine the spatial distribution of underground pipelines, and thus difficult to assist in the safe construction work of urban underground power distribution network maintenance, is that: with the increasing demand for urban power supply, the scale of underground pipelines in the distribution network is growing synchronously, and the operating environment of underground pipelines in the urban power grid is becoming increasingly complex, making the location of underground pipelines inaccurate. Based on this, the spatial distribution-based underground pipeline simulation operation method of some embodiments of this disclosure, firstly, considering the problem of the complexity and difficulty in locating underground pipelines, collects a multi-source underground pipeline data set within the target urban area, wherein each multi-source underground pipeline data set in the multi-source underground pipeline data set is obtained from different data platforms. Here, by collecting underground pipelines from multiple different data platforms, mutual calibration can be used to improve the accuracy of underground pipeline location. Then, the multi-source underground pipeline data in the aforementioned multi-source underground pipeline data set are standardized to generate a standardized multi-source underground pipeline data set. Data standardization unifies data from different data platforms, facilitating data use. Next, based on the standardized multi-source underground pipeline data set, an initial three-dimensional underground pipeline structure model is established according to the spatial distribution of underground pipelines within the target city area. This initial model consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. This initial model helps to preliminarily determine the spatial distribution of underground pipelines. Then, based on a pre-defined three-dimensional map of the target city area, the initial model is spatially aligned to generate the target pipeline three-dimensional structure model. This alignment further improves the accuracy of the spatial distribution of underground pipelines in the target model. Finally, the aforementioned 3D structural model of the target pipeline is added to the 3D pipeline visualization distribution layer in the preset twin space of the underground power distribution network in the target urban area. Based on preset pipeline operation parameters, the underground pipelines in the aforementioned 3D pipeline visualization distribution layer are simulated. This allows for the accurate determination of the spatial distribution of underground pipelines, which can be used to assist in the safe construction work of urban underground power distribution network maintenance.

[0084] Further reference Figure 4 As an implementation of the methods shown in the above figures, this disclosure provides some embodiments of a spatially distributed underground pipeline simulation operation device, which are similar to... Figure 1Corresponding to the method embodiments shown, this spatially distributed underground pipeline simulation operation device can be specifically applied to various electronic devices.

[0085] like Figure 4 As shown, some embodiments of the spatially distributed underground pipeline simulation operation device 400 include: a data acquisition unit 401, a data standardization unit 402, a construction unit 403, a pipeline spatial alignment unit 404, and an underground pipeline simulation operation unit 405. The data acquisition unit 401 is configured to acquire a set of multi-source underground pipeline data groups within a target city area, wherein each multi-source underground pipeline data group in the set is obtained from different data platforms; the data standardization unit 402 is configured to standardize the data of each multi-source underground pipeline in the set to generate a standardized multi-source underground pipeline data group set; the construction unit 403 is configured to establish an initial three-dimensional underground pipeline structure model based on the standardized multi-source underground pipeline data group set, according to the spatial distribution of underground pipelines within the target city area, wherein the initial three-dimensional underground pipeline structure model consists of at least one... The system consists of an underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. The pipeline space alignment unit 404 is configured to perform pipeline space alignment on the initial underground pipeline 3D structure model based on a preset 3D map of the target urban area to generate a target pipeline 3D structure model. The underground pipeline simulation operation unit 405 is configured to add the target pipeline 3D structure model to the 3D pipeline network visualization distribution layer in the preset target urban area underground distribution network full-domain twin space, and to perform underground pipeline simulation operation on the 3D pipeline network visualization distribution layer based on preset pipeline operation parameters.

[0086] It is understandable that the units described in the spatially distributed underground pipeline simulation operation device 400 are related to the reference... Figure 1 The steps in the described method correspond to each other. Therefore, the operations, features, and beneficial effects described above for the method are also applicable to the spatially distributed underground pipeline simulation operation device 400 and the units contained therein, and will not be repeated here.

[0087] The following is for reference. Figure 5 It illustrates a schematic diagram of the structure of an electronic device (such as a computing device) suitable for implementing some embodiments of the present disclosure. Figure 5 The electronic device shown is merely an example and should not be construed as limiting the functionality or scope of the embodiments of this disclosure. Figure 5As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The memory may include a non-volatile storage medium and internal memory. The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform any of the methods described above. The processor provides computational and control capabilities to support the operation of the entire computer device. The internal memory provides an environment for the execution of the computer program in the non-volatile storage medium; when executed by the processor, the computer program causes the processor to perform any of the methods described above. The network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present disclosure and does not constitute a limitation on the computer device to which the present disclosure is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0088] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0089] In one embodiment, the processor is configured to run a computer program stored in a memory to perform the following steps: collecting a set of multi-source underground pipeline data within a target city area, wherein each multi-source underground pipeline data set in the set is obtained from different data platforms; standardizing each multi-source underground pipeline data in the set to generate a standardized multi-source underground pipeline data set; and establishing an initial three-dimensional structural model of underground pipelines based on the standardized multi-source underground pipeline data set, according to the spatial distribution of underground pipelines within the target city area. The initial three-dimensional structure model of underground pipelines consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. Based on the three-dimensional map of the preset target city area, the above-mentioned initial three-dimensional structure model of underground pipelines is spatially aligned to generate the target pipeline three-dimensional structure model. The above-mentioned target pipeline three-dimensional structure model is added to the three-dimensional pipeline network visualization distribution layer in the preset target city area underground distribution network full-domain twin space, and the underground pipeline simulation operation is performed on the above-mentioned three-dimensional pipeline network visualization distribution layer according to the preset pipeline operation parameters.

[0090] This disclosure also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, and the method implemented when the program instructions are executed can be referred to the various embodiments of the methods described above in this disclosure.

[0091] The aforementioned computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiments, such as the hard disk or memory of the computer device. Alternatively, the aforementioned computer-readable storage medium may be an external storage device of the computer device, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the computer device.

[0092] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0093] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A method for simulating the operation of spatially distributed underground pipelines, characterized in that, include: Collect a set of multi-source underground pipeline data within the target city area, wherein each multi-source underground pipeline data set is obtained from different data platforms; Data standardization is performed on each multi-source underground pipeline data in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set. Based on the standardized multi-source underground pipeline data set, an initial three-dimensional underground pipeline structure model is established according to the spatial distribution of underground pipelines within the target city area. The initial three-dimensional underground pipeline structure model consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of the underground pipeline, and the underground pipeline edge represents the underground pipeline between two intersection points. Based on the preset 3D map of the target city area, the initial underground pipeline 3D structure model is spatially aligned to generate the target pipeline 3D structure model. The three-dimensional structural model of the target pipeline is added to the three-dimensional pipeline visualization distribution layer in the preset target urban area underground distribution network twin space, and the underground pipeline is simulated and operated on the three-dimensional pipeline visualization distribution layer according to the preset pipeline operation parameters.

2. The method according to claim 1, characterized in that, The collection of multi-source underground pipeline data sets within the target urban area includes: According to the preset platform data interface group, multi-source underground pipeline data groups are obtained from each platform data interface to obtain a multi-source underground pipeline data group set. Each platform data interface corresponds to a data platform, and each platform data interface in the platform data interface group corresponds to at least one of the following data platforms: power pipeline platform, water supply pipeline platform, gas pipeline platform, and communication pipeline platform.

3. The method according to claim 1, characterized in that, The multi-source underground pipeline data set includes pipeline attribute field groups and corresponding field values ​​for each pipeline attribute field. The step of standardizing the multi-source underground pipeline data in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set includes: The multi-source underground pipeline data in the multi-source underground pipeline data set is standardized to obtain a standard format pipeline data set; According to the pre-established field mapping table, the standard format pipeline data in the standard format pipeline data set, including pipeline attribute fields, are mapped according to the preset field arrangement order to obtain the mapped pipeline data set. The mapped pipeline data in the mapped pipeline data set includes a mapped attribute field group, which includes the mapped attribute field of the corresponding underground pipeline route coordinate set. Interpolation processing is performed on the coordinates of each underground pipeline route included in the mapped pipeline data set to obtain an interpolated pipeline data set, wherein the interpolated pipeline data in the interpolated pipeline data set includes an interpolated pipeline route coordinate set. The coordinate transformation is performed on the coordinates of each underground pipeline route in the interpolated pipeline data set to obtain a standardized multi-source underground pipeline data set. The coordinate transformation is used to convert the coordinates of underground pipeline routes in different coordinate systems to the same coordinate system.

4. The method according to claim 3, characterized in that, The process of establishing an initial three-dimensional structural model of underground pipelines based on the standardized multi-source underground pipeline data set, according to the spatial distribution of underground pipelines within the target city area, includes: For each standardized multi-source underground pipeline data set in the aforementioned standardized multi-source underground pipeline data set set, the following construction steps are performed: The interpolated pipeline route coordinate set included in the standardized multi-source underground pipeline data set is fitted with a route to obtain a set of underground pipeline equations. The pipeline intersections and critical points of each underground pipeline equation in the underground pipeline equation set are determined as underground pipeline nodes, thus obtaining the underground pipeline node set. The pipeline between every two underground pipeline nodes in the underground pipeline equation set is determined as an underground pipeline edge, thus obtaining an underground pipeline edge set. In the preset target city three-dimensional coordinate system, the underground pipeline node set and the underground pipeline edge set constitute a single-attribute underground pipeline spatial distribution structure map. The single attribute is the pipeline attribute corresponding to the standardized multi-source underground pipeline data set. By overlaying the spatial distribution structure maps of underground pipelines corresponding to each standardized multi-source underground pipeline data set, a three-dimensional structure map of multi-source underground pipelines is obtained. Using the mapped attribute fields of the corresponding pipeline data in the standardized multi-source underground pipeline data set, the data is filled into the three-dimensional structure map of the multi-source underground pipeline to generate an initial three-dimensional structure model of the underground pipeline.

5. The method according to claim 4, characterized in that, The process of determining the pipeline intersections and critical points of each underground pipeline equation in the underground pipeline equation set as underground pipeline nodes yields an underground pipeline node set, including: Based on the mapped attribute fields corresponding to each underground pipeline equation in the underground pipeline equation set, the underground pipeline connection relationship information of each underground pipeline equation is determined. The underground pipeline connection relationship information includes the pipeline level identifier and pipeline connection identifier of each underground pipeline equation. Based on the underground pipeline connection information, the pipeline intersection points of each underground pipeline equation are determined, resulting in a set of pipeline intersection points; Based on the value boundary of the target city's three-dimensional coordinate system, the critical points of each underground pipeline equation in the underground pipeline equation set are determined, resulting in a set of critical points, where the critical point is the coordinate position of the underground pipeline equation on the value boundary. Each pipeline intersection point in the pipeline intersection point set and each critical point in the critical point set are identified as underground pipeline nodes, thus obtaining the underground pipeline node set.

6. The method according to claim 5, characterized in that, Before generating the target pipeline three-dimensional structure model by aligning the initial underground pipeline three-dimensional structure model with the pipeline space based on the preset three-dimensional map of the target city area, the method further includes: Obtain a pre-collected point cloud dataset of underground pipelines within the target city area; For each underground pipeline spatial distribution structure diagram and corresponding underground pipeline point cloud data in the initial underground pipeline three-dimensional structure model, the following correction steps are performed: The underground pipeline feature is extracted from the underground pipeline point cloud data corresponding to the underground pipeline spatial distribution structure map to generate underground pipeline point cloud data. Feature aggregation is performed on the underground pipeline point cloud data to generate underground pipeline point cloud feature equations; Based on the underground pipeline nodes in the underground pipeline node set, the underground pipeline point cloud feature equation is segmented to generate a set of segmented pipeline groups. The segmented pipeline group set is used to correct the pipeline morphology of each underground pipeline edge in the underground pipeline spatial distribution structure diagram, so as to generate a corrected three-dimensional structure model of the pipeline.

7. The method according to claim 6, characterized in that, The step of aligning the initial underground pipeline 3D structure model with the pipeline space based on a preset 3D map of the target city area to generate the target pipeline 3D structure model includes: Key points are extracted from the 3D map to generate a set of key point coordinates for the pipeline. Based on the corrected three-dimensional structure model of the pipeline, the coordinates of the key points of the pipeline in the set of key point coordinates of the pipeline are classified to obtain a set of single-attribute key point coordinate groups of pipeline. Based on each single-attribute pipeline key point coordinate group in the set of single-attribute pipeline key point coordinate groups, the corresponding underground pipeline spatial distribution structure map in the corrected pipeline three-dimensional structure model is adjusted to generate the adjusted pipeline three-dimensional structure model. The pipeline adjustment is to adjust the underground pipeline spatial distribution structure map of each single attribute separately. Based on the coordinate position relationship between different single-attribute pipeline key point coordinate groups in the set of single-attribute pipeline key point coordinate groups, the relative positions of the multi-source underground pipelines in the adjusted pipeline three-dimensional structure model are adjusted to generate the target pipeline three-dimensional structure model. The adjustment of the relative positions of the multi-source pipelines is to make overall adjustments to the spatial distribution structure diagram of each single-attribute underground pipeline.

8. A spatially distributed underground pipeline simulation operation device, comprising: The acquisition unit is configured to acquire a set of multi-source underground pipeline data within a target urban area, wherein each multi-source underground pipeline data set is acquired from a different data platform. The data standardization unit is configured to standardize the data of each multi-source underground pipeline in the multi-source underground pipeline data set to generate a standardized multi-source underground pipeline data set. The construction unit is configured to establish an initial three-dimensional structure model of underground pipelines based on the standardized multi-source underground pipeline data set and according to the spatial distribution of underground pipelines in the target city area. The initial three-dimensional structure model of underground pipelines consists of at least one underground pipeline node and at least one underground pipeline edge. The underground pipeline node is the intersection point of underground pipelines, and the underground pipeline edge represents the underground pipeline between two intersection points. The pipeline spatial alignment unit is configured to perform pipeline spatial alignment on the initial underground pipeline three-dimensional structure model according to a preset three-dimensional map of the target urban area, so as to generate the target pipeline three-dimensional structure model. The underground pipeline simulation operation unit is configured to add the three-dimensional structural model of the target pipeline to the three-dimensional pipeline network visualization distribution layer in the preset target urban area underground distribution network full-domain twin space, and to perform underground pipeline simulation operation on the three-dimensional pipeline network visualization distribution layer according to the preset pipeline operation parameters.

9. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in any one of claims 1-7.

10. A computer-readable medium having a computer program stored thereon, wherein, When the program is executed by the processor, it implements the method as described in any one of claims 1-7.

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