Drilling, jacking and pulling combined pipeline laying intelligent construction method and system

Abstract

The invention relates to the technical field of intelligent construction, and provides a drilling, jacking and pulling combined pipeline laying intelligent construction method and system. The method comprises the steps that geological exploration information of a pipeline laying area is obtained through a geological exploration device; drilling and sampling are carried out in the pipeline laying area based on an initial design path of pipeline laying, and drilling and sampling data information is obtained; constructing a geological environment model of the pipeline laying area based on the geological exploration information and the drilling sampling data information; optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; generating construction control parameter information based on the target design path and the geological environment model; and performing pipeline laying in the pipeline laying area based on the target design path and the construction control parameter information. The method is helpful for avoiding risks caused by neglecting geological conditions in traditional manual construction.

Description

Technical Field

[0001] This application relates to the field of intelligent construction technology, and particularly to an intelligent construction method and system for pipe laying by combining drilling from the top and pulling Background Art

[0002] Pipe laying is an important link in the construction of infrastructure such as energy, water supply, drainage, and communication, and is widely used in industries such as oil, natural gas, electricity, water service, and communication. At present, traditional pipe laying schemes mainly rely on manual construction. In complex geological conditions, such as soft soil layers, rock layers, or areas with rich groundwater, this method cannot accurately predict and respond to geological changes, and problems such as inappropriate paths, construction process delays, and equipment damage are likely to occur. Summary of the Invention

[0003] This application provides an intelligent construction method and system for pipe laying by combining drilling from the top and pulling to solve the problems raised in the above background art.

[0004] In a first aspect, this application provides an intelligent construction method for pipe laying by combining drilling from the top and pulling, including: Obtaining geological exploration information of the pipe laying area through a geological exploration device; Performing drilling sampling in the pipe laying area based on the initial design path of the pipe laying to obtain drilling sampling data information; Constructing a geological environment model of the pipe laying area based on the geological exploration information and the drilling sampling data information; Optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; Generating construction control parameter information based on the target design path and the geological environment model; Laying pipes in the pipe laying area based on the target design path and the construction control parameter information.

[0005] In a possible implementation manner, the performing drilling sampling in the pipe laying area based on the initial design path of the pipe laying to obtain drilling sampling data information includes: Widening the mapping path of the initial design path mapped to the ground surface in the pipe laying area to obtain a drilling sampling area; Performing segmentation processing on the drilling sampling area to obtain a plurality of drilling sampling sub-areas; Performing drilling sampling processing on each of the drilling sampling sub-areas respectively to obtain the drilling sampling data information.

[0006] In a possible implementation manner, optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path includes: Determining an initial virtual path corresponding to the initial design path in the geological environment model; Determining an adjustable area of the initial virtual path based on a preset path deviation index; Generating a plurality of intermediate virtual paths of the initial virtual path within the adjustable area based on a preset fuzzy algorithm; Judging whether there are high-risk areas for each of the virtual paths based on the geological environment model; the virtual paths include the initial virtual path and each of the intermediate virtual paths; Deleting the virtual paths with high-risk areas to obtain target virtual paths; Generating path costs for each of the target virtual paths respectively based on a preset path cost generation method; Determining the target virtual path with the minimum path cost as the target design path.

[0007] In a possible implementation manner, generating path costs for each of the target virtual paths respectively based on the preset path cost generation method includes: For each of the target virtual paths, determining a plurality of curvature measurement points in the virtual path based on a preset path step length, respectively obtaining the curvatures corresponding to the curvature measurement points, and obtaining the path length of the target virtual path; For each of the target virtual paths, generating the path cost of the target virtual path based on the curvatures and the path length corresponding to the target virtual path.

[0008] In a possible implementation manner, generating the path cost of the target virtual path based on the curvatures and the path length corresponding to the target virtual path includes: Determining a target curvature among the curvatures corresponding to the target virtual path; the target curvature is greater than a preset curvature; Determining the maximum curvature among the target curvatures, obtaining the standard deviation of the target curvatures, and multiplying the maximum curvature by the reciprocal of the standard deviation to obtain a target product; Performing weighted summation on the target product and the path length to obtain the path cost.

[0009] In a possible implementation manner, generating construction control parameter information based on the target design path and the geological environment model includes: Controlling a preset virtual guiding drill bit to perform guiding drilling in the geological environment model based on the target design path to obtain a virtual pipeline laying route, and in the process of the virtual guiding drill bit performing guiding drilling, obtaining the first multi-sensor data information of the virtual guiding drill bit in real time, and generating guiding drilling control parameter information based on the first multi-sensor data information; Controlling a preset virtual reaming drill bit with jacking force to perform reaming treatment on the virtual pipeline laying route, and in the process of performing reaming treatment on the virtual pipeline laying route, obtaining the second multi-sensor data information of the virtual reaming drill bit with jacking force in real time, and generating reaming control parameter information based on the second multi-sensor data information; Controlling a preset virtual pipe puller to lay a virtual pipeline in the virtual pipeline laying route after reaming, and in the process of laying the virtual pipeline, obtaining the third multi-sensor data information of the pipe puller in real time, and generating pipe pulling control parameter information based on the third multi-sensor data information; the guiding drilling control parameter information, the reaming control parameter information, and the pipe pulling control parameter information constitute the construction control parameter information.

[0010] In a second aspect, the present application provides an intelligent construction system for pipe laying by combining drilling, jacking, and pulling, including: An acquisition module, configured to acquire geological exploration information of a pipe laying area through a geological exploration device; A drilling and sampling module, configured to perform drilling and sampling in the pipe laying area based on an initial design path of pipe laying to obtain drilling and sampling data information; A construction module, configured to construct a geological environment model of the pipe laying area based on the geological exploration information and the drilling and sampling data information; A path optimization module, configured to optimize the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; A generation module, configured to generate construction control parameter information based on the target design path and the geological environment model; A pipe laying module, configured to lay a pipeline in the pipe laying area based on the target design path and the construction control parameter information.

[0011] The present application provides an intelligent construction method and system for pipe laying by combining drilling, jacking, and pulling. The method includes: acquiring geological exploration information of a pipe laying area through a geological exploration device; performing drilling and sampling in the pipe laying area based on an initial design path of pipe laying to obtain drilling and sampling data information; constructing a geological environment model of the pipe laying area based on the geological exploration information and the drilling and sampling data information; Optimize the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; generate construction control parameter information based on the target design path and the geological environment model; lay a pipeline in the pipeline laying area based on the target design path and the construction control parameter information. By combining geological exploration information, borehole sampling data information, and an intelligent path optimization algorithm, this method can achieve more accurate planning and control during pipeline laying. First, through geological exploration devices and borehole sampling, geological environment data of the pipeline laying area can be accurately obtained, providing a scientific basis for construction path optimization and avoiding risks caused by ignoring geological conditions in traditional manual construction. Second, the path optimization algorithm based on the geological environment model can adjust the path for complex geological conditions, effectively avoiding problems such as inappropriate paths, construction delays, and equipment damage. Finally, the generated construction control parameter information can guide the construction process in real time, improve construction accuracy and safety, ensure the smooth progress of pipeline laying in various geological environments, thereby reducing construction risks, shortening the construction period, and saving costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0013] Figure 1 It is a schematic flowchart of the intelligent construction method for combined drilling, jacking, and pulling pipeline laying provided by the embodiment of the present application; Figure 2 It is a schematic block diagram of the structure of the intelligent construction system for combined drilling, jacking, and pulling pipeline laying provided by the embodiment of the present application; Figure 3 It is a schematic block diagram of the structure of the terminal device provided by the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0015] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0016] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0017] It should be further understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0018] In conjunction with the accompanying drawings, some real-time methods of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0019] See also Figure 1 , Figure 1 A schematic diagram of the process of the intelligent construction method for drilling top pulling combined with pipeline laying provided in the embodiment of the present application is shown in FIG. Figure 1 As shown, the drilling and pulling combined with pipeline laying intelligent construction method provided in the embodiment of the present application includes steps S1 to S6.

[0020] Step S1: obtaining geological exploration information of the pipeline laying area through a geological exploration device.

[0021] Step S2: drilling and sampling are performed in the pipeline laying area based on the initial design path of pipeline laying to obtain drilling and sampling data information.

[0022] Step S3: constructing a geological environment model of the pipeline laying area based on the geological exploration information and the drilling sampling data information.

[0023] Step S4: optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path.

[0024] Step S5: generating construction control parameter information based on the target design path and the geological environment model.

[0025] Step S6: Laying the pipeline in the pipeline laying area based on the target design path and the construction control parameter information.

[0026] In this embodiment, it specifically includes: In the above step S1, geological exploration information of the pipeline laying area is obtained through a ground penetrating radar, a geological wave detector, etc. The geological exploration information includes, but is not limited to, geological structure, lithology, and groundwater level.

[0027] In the above step S2, first, the mapped path obtained by mapping the initial design path to the ground surface in the pipeline laying area is widened to obtain a borehole sampling area. Then, the borehole sampling area is segmented to obtain a plurality of borehole sampling sub-areas. Finally, borehole sampling is performed on each of the borehole sampling sub-areas to obtain the borehole sampling data information. The borehole sampling data information includes, but is not limited to, formation lithology, soil quality, and water content.

[0028] In the above step S3, a geological environment model of the pipeline laying area is constructed based on the geological exploration information and the borehole sampling data information by using three-dimensional geological modeling software.

[0029] In the above step S4, first, an adjustable area of the initial virtual path is determined based on a preset path deviation index. Then, a plurality of intermediate virtual paths of the initial virtual path are generated within the adjustable area based on a preset fuzzy algorithm. Next, based on the geological environment model, it is determined whether there are high-risk areas for each virtual path. If there are high-risk areas for some virtual paths, these virtual paths are deleted to obtain the target virtual path. Subsequently, based on a preset path cost generation method, the path costs of each target virtual path are generated respectively. Finally, the target virtual path with the minimum path cost is determined as the target design path.

[0030] In the above step S5, first, a preset virtual guiding drill bit is controlled to perform guiding drilling in the geological environment model based on the target design path to obtain a virtual pipeline laying route. During the process of guiding drilling by the virtual guiding drill bit, the first multi-sensor data information of the virtual guiding drill bit is obtained in real time, and guiding drilling control parameter information is generated based on the first multi-sensor data information. Then, a preset virtual reaming drill bit is controlled to ream the virtual pipeline laying route, and during the process of reaming the virtual pipeline laying route, the second multi-sensor data information of the virtual reaming drill bit is obtained in real time, and reaming control parameter information is generated based on the second multi-sensor data information. Finally, a preset virtual pipe puller is controlled to lay a virtual pipeline in the virtual pipeline laying route after reaming. During the process of laying the virtual pipeline, the third multi-sensor data information of the pipe puller is obtained in real time, and pipe pulling control parameter information is generated based on the third multi-sensor data information. The guiding drilling control parameter information, the reaming control parameter information, and the pipe pulling control parameter information constitute the construction control parameter information.

[0031] In the above step S6, based on the target design path and the construction control parameter information, control the pipeline laying equipment to lay pipelines in the pipeline laying area.

[0032] The method provided in this embodiment can achieve more accurate planning and control during the pipeline laying process by combining geological exploration information, borehole sampling data information, and intelligent path optimization algorithms. First, through the geological exploration device and borehole sampling, the geological environment data of the pipeline laying area can be accurately obtained, providing a scientific basis for the optimization of the construction path and avoiding the risks brought by ignoring geological conditions in traditional manual construction. Secondly, the path optimization algorithm based on the geological environment model can adjust the path for complex geological conditions (such as soft soil layers, rock layers, or areas with rich groundwater), effectively avoiding problems such as inappropriate paths, construction delays, and equipment damage. Finally, the generated construction control parameter information can guide the construction process in real time, improve construction accuracy and safety, ensure that the pipeline laying can proceed smoothly in various geological environments, thereby reducing construction risks, shortening the construction period, and saving costs.

[0033] In some embodiments, the method of obtaining borehole sampling data information by performing borehole sampling on the initial design path of the pipeline laying in the pipeline laying area includes the following steps: Widen the mapping path of the initial design path mapped to the ground surface in the pipeline laying area to obtain a borehole sampling area; Perform segmentation processing on the borehole sampling area to obtain a plurality of borehole sampling sub-areas; Perform borehole sampling processing on each of the borehole sampling sub-areas to obtain the borehole sampling data information.

[0034] The method provided in this embodiment helps to ensure the representativeness and accuracy of the samples by widening the mapping path of the initial design path and dividing it into multiple borehole sampling sub-areas, performing borehole sampling on the geological conditions in different sub-areas, so as to obtain more accurate borehole sampling data information, avoiding potential errors caused by insufficient samples or lack of representativeness. By refining the borehole sampling area, it helps to improve the accuracy of geological exploration, further optimize the pipeline laying path, and provide more reliable basic data for subsequent path optimization and construction control. This process can effectively improve the scientificity and safety of construction, reduce risks and problems caused by geological differences, and thus reduce the uncertainty during the construction process.

[0035] In some embodiments, the method of optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path includes the following steps: Determine the initial virtual path corresponding to the initial design path in the geological environment model; Determine the adjustable region of the initial virtual path based on a preset path deviation index; Generate multiple intermediate virtual paths of the initial virtual path within the adjustable region based on a preset fuzzy algorithm; Based on the geological environment model, determine whether there are high-risk regions in each of the virtual paths; the virtual paths include the initial virtual path and each of the intermediate virtual paths; the high-risk regions include faults, soft strata, etc.; Delete the virtual paths with high-risk regions to obtain the target virtual paths; Generate the path costs of each of the target virtual paths respectively based on a preset path cost generation method; Determine the target virtual path with the minimum path cost as the target design path.

[0036] For the method provided in this embodiment, on the one hand, by generating multiple intermediate virtual paths and determining whether there are high-risk regions in each path, potential dangerous geological conditions can be effectively avoided to ensure the safety of pipeline laying. On the other hand, using the fuzzy algorithm to process the path deviation within the adjustable region makes the path optimization more flexible and adaptable to changes in different geological environments, thereby improving the accuracy of path optimization. On the other hand, by evaluating the costs of different virtual paths through the path cost generation method and selecting the target virtual path with the minimum path cost as the final design path, not only can the construction economy be improved, but also the construction risks and costs can be effectively reduced.

[0037] Among them, the generating the path costs of each of the target virtual paths respectively based on a preset path cost generation method includes the following steps: For each of the target virtual paths, determine multiple curvature measurement points in the virtual path based on a preset path step length, and respectively obtain the curvatures corresponding to each of the curvature measurement points, and obtain the path length of the target virtual path; For each of the target virtual paths, generate the path cost of the target virtual path based on each curvature and the path length corresponding to the target virtual path.

[0038] Among them, the generating the path cost of the target virtual path based on each curvature and the path length corresponding to the target virtual path includes the following steps: Determine a target curvature among the curvatures corresponding to the target virtual path; the target curvature is greater than a preset curvature; Determine the maximum curvature among the target curvatures, and obtain the standard deviation of each of the target curvatures, and multiply the maximum curvature by the reciprocal of the standard deviation to obtain a target product; Perform a weighted sum of the target product and the path length to obtain the path cost.

[0039] Understandably, for the method of generating the path cost of the target virtual path based on the curvatures and path lengths corresponding to the target virtual path, on the one hand, by determining the target curvature, the path curvature can be effectively identified, which helps to avoid construction difficulties and potential risks caused by excessive curvature. On the other hand, calculating the target product based on the reciprocal of the maximum curvature and the standard deviation helps to quantify the stability and variation range of the path curvature, further improving the accuracy of path cost evaluation. On the other hand, by performing a weighted sum of the target product and the path length, the curvature and length of the path can be comprehensively considered, so as to obtain a reasonable path cost evaluation, ensuring that the selected target virtual path has good economy during construction and can ensure the feasibility and safety of construction.

[0040] In some embodiments, generating the construction control parameter information based on the target design path and the geological environment model includes: Controlling a preset virtual guiding drill bit to perform guiding drilling in the geological environment model based on the target design path to obtain a virtual pipeline laying route, and in the process of the virtual guiding drill bit performing guiding drilling, real-time obtaining first multi-sensor data information of the virtual guiding drill bit, and generating guiding drilling control parameter information based on the first multi-sensor data information; wherein, the first multi-sensor data information includes but is not limited to spatial position change information, attitude change information, and force state change information; Controlling a preset virtual reaming drill bit to perform reaming on the virtual pipeline laying route, and in the process of reaming the virtual pipeline laying route, real-time obtaining second multi-sensor data information of the virtual reaming drill bit, and generating reaming control parameter information based on the second multi-sensor data information; wherein, the second multi-sensor data information includes but is not limited to spatial position change information, attitude change information, and force state change information; Controlling a preset pipe pulling device to lay a virtual pipeline in the virtual pipeline laying route after reaming, and in the process of laying the virtual pipeline, real-time obtaining third multi-sensor data information of the pipe pulling device, and generating pipe pulling control parameter information based on the third multi-sensor data information; the guiding drilling control parameter information, the reaming control parameter information, and the pipe pulling control parameter information constitute the construction control parameter information; wherein, the third multi-sensor data information includes but is not limited to spatial position change information, attitude change information, and force state change information.

[0041] Please refer to Figure 2 , Figure 2 which is a schematic structural block diagram of the intelligent construction system 100 for combined drilling, jacking and pipe pulling provided by the embodiment of the present application, as Figure 2As shown in the figure, the intelligent construction system 100 for pipe laying by combining drilling and pulling provided by the embodiments of the present application includes: An acquisition module 110, configured to acquire geological exploration information of the pipe laying area through a geological exploration device.

[0042] A drilling and sampling module 120, configured to perform drilling and sampling in the pipe laying area based on the initial design path of the pipe laying to obtain drilling and sampling data information.

[0043] A construction module 130, configured to construct a geological environment model of the pipe laying area based on the geological exploration information and the drilling and sampling data information.

[0044] A path optimization module 140, configured to optimize the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path.

[0045] A generation module 150, configured to generate construction control parameter information based on the target design path and the geological environment model.

[0046] A pipe laying module 160, configured to lay pipes in the pipe laying area based on the target design path and the construction control parameter information.

[0047] It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described system and each module can refer to the processes in the embodiments of the intelligent construction method for pipe laying by combining drilling and pulling described above, and will not be elaborated here.

[0048] The intelligent construction system 100 for pipe laying by combining drilling and pulling provided by the above embodiments can be implemented in the form of a computer program, and this computer program can run on a terminal device 200 as Figure 3 shown in the figure.

[0049] Please refer to Figure 3 , Figure 3 , which is a schematic block diagram of the structure of the terminal device 200 provided by the embodiments of the present application. The terminal device 200 includes a processor 201 and a memory 202. The processor 201 and the memory 202 are connected through a device bus 203. Among them, the memory 202 can include a non-volatile storage medium and an internal memory.

[0050] The non-volatile storage medium can store a computer program. This computer program includes program instructions. When the program instructions are executed by the processor 201, the processor 201 can be enabled to execute any one of the above intelligent construction methods for pipe laying by combining drilling and pulling.

[0051] The processor 201 is configured to provide computing and control capabilities to support the operation of the entire terminal device 200.

[0052] The internal memory provides an environment for the operation of a computer program in a non-volatile storage medium. When the computer program is executed by the processor 201, the processor 201 can be caused to execute any of the above-mentioned intelligent construction methods for pipeline laying by combining drilling and pulling.

[0053] Those skilled in the art can understand that Figure 3 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the terminal device 200 involved in the solution of this application. The specific terminal device 200 can include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0054] It should be understood that the processor 201 can be a central processing unit (CPU), and the processor 201 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 them, the general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0055] Among them, in some embodiments, the processor 201 is used to run a computer program stored in the memory to implement the following steps: Obtain geological exploration information of the pipeline laying area through a geological exploration device; Perform drilling sampling in the pipeline laying area based on the initial design path of the pipeline laying to obtain drilling sampling data information; Construct a geological environment model of the pipeline laying area based on the geological exploration information and the drilling sampling data information; Optimize the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; Generate construction control parameter information based on the target design path and the geological environment model; Lay the pipeline in the pipeline laying area based on the target design path and the construction control parameter information.

[0056] It should be noted that those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working process of the above-described terminal device 200 can refer to the process of the aforementioned intelligent construction method for pipe laying by combining drilling, jacking and pulling, which will not be elaborated here.

[0057] An embodiment of the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the one or more processors are caused to implement the intelligent construction method for pipe laying by combining drilling, jacking and pulling provided by the embodiment of the present application.

[0058] Among them, the computer-readable storage medium can be an internal storage unit of the terminal device 200 in the foregoing embodiment, such as the hard disk or memory of the terminal device 200. The computer-readable storage medium can also be an external storage device of the terminal device 200, such as a plug-in hard disk equipped with the terminal device 200, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc.

[0059] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or substitutions within the technical scope disclosed by the present application, and these modifications or substitutions should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An intelligent construction method for pipeline laying combined with drilling and pulling, characterized in that: include: Obtaining geological exploration information of the pipeline laying area through geological exploration equipment; Based on the initial design path of pipeline laying, drilling sampling is performed in the pipeline laying area to obtain drilling sampling data information; Constructing a geological environment model of the pipeline laying area based on the geological exploration information and the drilling sampling data information; Optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; Generate construction control parameter information based on the target design path and the geological environment model; Pipeline laying is performed in the pipeline laying area based on the target design path and the construction control parameter information.

2. The intelligent construction method of drilling and pulling combined with pipeline laying according to claim 1 is characterized in that: The initial design path based on pipeline laying is used to perform drilling sampling in the pipeline laying area to obtain drilling sampling data information, including: Widening the mapping path of the initial design path to the ground surface in the pipeline laying area to obtain a drilling sampling area; Segmenting the drilling sampling area to obtain a plurality of drilling sampling sub-areas; The drilling sampling process is performed on each of the drilling sampling sub-areas respectively to obtain the drilling sampling data information.

3. The intelligent construction method of drilling top pulling combined with pipeline laying according to claim 1 is characterized in that: The method of optimizing the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path includes: Determining an initial virtual path corresponding to the initial design path in the geological environment model; Determining an adjustable area of ​​the initial virtual path based on a preset path deviation index; Generating a plurality of intermediate virtual paths of the initial virtual path within the adjustable area based on a preset fuzzy algorithm; Based on the geological environment model, it is determined whether each virtual path has a high-risk area; the virtual path includes the initial virtual path and each intermediate virtual path; Delete the virtual path with high-risk area to obtain the target virtual path; Generating the path cost of each target virtual path based on a preset path cost generation method; A target virtual path with the minimum path cost is determined as the target design path.

4. The intelligent construction method of drilling top pulling combined with pipeline laying according to claim 3 is characterized in that: The method for generating the path cost of each target virtual path based on a preset path cost generation method comprises: For each of the target virtual paths, a plurality of curvature measurement points are determined in the virtual path based on a preset path step length, and the curvature corresponding to each of the curvature measurement points is respectively obtained, and the path length of the target virtual path is obtained; For each of the target virtual paths, a path cost of the target virtual path is generated based on each curvature and path length corresponding to the target virtual path.

5. The intelligent construction method of drilling top pulling combined with pipeline laying according to claim 4 is characterized in that: The generating the path cost of the target virtual path based on each curvature and path length corresponding to the target virtual path includes: Determining a target curvature among the curvatures corresponding to the target virtual path; the target curvature is greater than a preset curvature; Determine the maximum curvature among the target curvatures, obtain the standard deviation of the target curvatures, and multiply the maximum curvature by the inverse of the standard deviation to obtain a target product; The target product and the path length are weightedly summed to obtain the path cost.

6. The intelligent construction method of drilling top pulling combined with pipeline laying according to claim 1 is characterized in that: The generating of construction control parameter information based on the target design path and the geological environment model includes: Controlling a preset virtual guide drill to perform guided drilling in the geological environment model based on the target design path to obtain a virtual pipeline laying route, and acquiring first multi-sensor data information of the virtual guide drill in real time during the guided drilling of the virtual guide drill, and generating guided drilling control parameter information based on the first multi-sensor data information; Controlling a preset virtual top pressure reaming drill to reame the virtual pipeline laying route, and acquiring second multi-sensor data information of the virtual top pressure reaming drill in real time during the reaming process of the virtual pipeline laying route, and generating reaming control parameter information based on the second multi-sensor data information; Control a preset virtual pipe puller to lay a virtual pipe in a virtual pipe laying route after hole expansion, and in the process of laying the virtual pipe, obtain the third multi-sensor data information of the pipe puller in real time, and generate pipe pulling control parameter information based on the third multi-sensor data information; the guided drilling control parameter information, the hole expansion control parameter information and the pipe pulling control parameter information constitute the construction control parameter information.

7. An intelligent construction system for drilling and pulling combined with pipeline laying, characterized in that: include: An acquisition module, used to acquire geological exploration information of the pipeline laying area through a geological exploration device; A drilling sampling module, used for performing drilling sampling in the pipeline laying area based on the initial design path of pipeline laying, and obtaining drilling sampling data information; A construction module, used to construct a geological environment model of the pipeline laying area based on the geological exploration information and the drilling sampling data information; A path optimization module, used to optimize the initial design path in the geological environment model based on a preset path optimization algorithm to obtain a target design path; A generation module, used to generate construction control parameter information based on the target design path and the geological environment model; A pipeline laying module is used to lay pipelines in the pipeline laying area based on the target design path and the construction control parameter information.

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