Construction data processing method and system based on pipeline analysis

Abstract

The invention discloses a construction data processing method and system based on pipeline analysis. The method comprises the steps that pipeline data of a plurality of associated areas of a pile foundation area preparing to implement a shield construction plan is obtained; predicting pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the multiple associated areas; according to the pipeline distribution data and a preset pile foundation risk analysis rule, a plurality of area risk marks corresponding to the pile foundation area are determined; and generating a shield construction scheme corresponding to the pile foundation area according to the multiple area risk marks and the shield construction plan. Therefore, the risk of the construction area can be predicted and marked more efficiently and intelligently, so that the construction scheme is more reasonable and safer, the labor cost is reduced, and the construction efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a construction data processing method and system based on pipeline analysis. Background Art

[0002] Shield construction is usually carried out underground. During the excavation process, many very complex pipelines and pile foundation structures will be encountered. If the early planning is not good, it is easy for the pile foundation structure to be damaged due to the destruction of some pipelines such as pressurized gas pipes or tap water pipes, resulting in construction risks or even construction accidents. In the existing shield construction process, it is often necessary to rely on manual consideration of the preliminary pipeline detection and investigation results to formulate a construction plan. It does not consider combining data analysis algorithms to achieve risk prediction and plan formulation. Therefore, the existing plan is too dependent on manual judgment, with high labor costs and prone to errors, and low efficiency. It can be seen that the existing technology has defects that need to be solved urgently. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a construction data processing method and system based on pipeline analysis, which can more efficiently and intelligently predict and mark the risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs and improve construction efficiency.

[0004] In order to solve the above technical problems, the first aspect of the present invention discloses a construction data processing method based on pipeline analysis, the method comprising: Obtain pipeline data for multiple associated areas of the pile foundation area where the shield construction plan is to be implemented; Predicting pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the plurality of associated areas; Determine a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule; A shield construction plan corresponding to the pile foundation area is generated according to the multiple regional risk labels and the shield construction plan.

[0005] As an optional embodiment, in the first aspect of the present invention, the associated area is a vicinity or a similar area of ​​the pile foundation area; the vicinity is a construction area whose distance from the pile foundation area is less than a preset first distance threshold.

[0006] As an optional implementation, in the first aspect of the present invention, the similar area is determined by the following rules: For the pending construction area, obtaining the regional parameters and shield construction route corresponding to the pending construction area; the regional parameters include the area, shape, pile foundation distribution in the area and the location of the area; Calculating the area difference between the area corresponding to the pending construction area and the area of ​​the pile foundation area; Calculating the shape difference between the area shape corresponding to the pending construction area and the shape of the pile foundation area; Calculating the distribution difference between the pile foundation distribution corresponding to the pending construction area and the pile foundation distribution of the pile foundation area; Calculating the distance between the area position corresponding to the pending construction area and the position of the pile foundation area; Calculating the route difference between the shield construction route corresponding to the pending construction area and the planned route of the shield construction plan for the pile foundation area; Calculating a weighted sum of the area difference, the shape difference, the distribution difference, the location distance and the route difference to obtain the area difference corresponding to the pending construction area; When the area difference is less than a preset difference threshold, the pending construction area is determined to be a similar area to the pile foundation area.

[0007] As an optional implementation, in the first aspect of the present invention, predicting the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the multiple associated areas includes: The pipeline data and the corresponding regional position of each of the nearby areas are input into the trained pipeline extension prediction model to obtain the regional pipeline prediction result corresponding to the pipeline data of each of the nearby areas; the pipeline extension prediction model is trained by a training data set with pipeline data of multiple training areas and corresponding nearby area pipeline extension distribution annotations; For each of the regional pipeline prediction results, a weighted average value of the similarities between the regional pipeline prediction result and the pipeline data of each of the similar regions is calculated to obtain a similarity parameter corresponding to the regional pipeline prediction result; Calculating a weight value proportional to the similarity parameter to obtain a calculation weight corresponding to the pipeline prediction result of the area; According to the calculation weights, the weighted sum average result of all the regional pipeline prediction results is calculated to obtain the pipeline distribution data corresponding to the pile foundation area.

[0008] As an optional embodiment, in the first aspect of the present invention, in the process of calculating the similarity parameters, the weighted calculation weight of the similarity between the pipeline prediction result of the region and the pipeline data of each similar region is the product of the first weight and the second weight; the first weight is inversely proportional to the line complexity of the pipeline prediction result of the region; the second weight is inversely proportional to the regional difference corresponding to the corresponding similar region.

[0009] As an optional implementation, in the first aspect of the present invention, the determining of a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule comprises: Determine multiple pile foundation positions and pile foundation types in the pile foundation area; the pile foundation type is a combination of one or more of a friction pile, an end-bearing pile, a non-squeezing pile, a partially squeezing pile, a squeezing pile, a single-row pile, and a multi-row pile; For each of the pile foundation positions, determining a plurality of pipelines in the pipeline distribution data whose minimum distance to the pile foundation position is less than a preset second distance threshold; Determine, according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position, a pipeline associated risk value and a risk type corresponding to the pile foundation position; The corresponding risk types are marked for all the pile foundation positions whose pipeline-associated risk values ​​are greater than a preset risk threshold, so as to obtain a plurality of regional risk markings corresponding to the pile foundation areas.

[0010] As an optional implementation, in the first aspect of the present invention, determining the foundation-associated risk value and risk type corresponding to the pile foundation position according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position includes: The pipeline type of each pipeline and the pile foundation type corresponding to the pile foundation position are input into a preset pipeline associated risk prediction model to obtain a pipeline risk value and a pipeline risk type corresponding to each pipeline; the pipeline associated risk prediction model is obtained by training a training data set including a plurality of training pipeline types and training pile foundation types and corresponding associated risk annotations; Calculate the product value of the pipeline risk value corresponding to each pipeline and the corresponding minimum distance, and determine the pipeline whose product value is greater than a preset parameter threshold as a risky pipeline; Calculate the average value of the product values ​​corresponding to all the risk pipelines to obtain the foundation-associated risk value corresponding to the pile foundation position; Filter out the pipeline risk types corresponding to all the risk pipelines whose occurrence times are greater than a preset threshold value, and obtain the risk type corresponding to the pile foundation position; the risk type includes at least one of water seepage risk, leakage risk, flammable material leakage risk, lateral stability risk and end stability risk.

[0011] As an optional implementation, in the first aspect of the present invention, generating a shield construction plan corresponding to the pile foundation area according to the multiple regional risk labels and the shield construction plan includes: Determine multiple pile foundation positions and corresponding regional risk labels along the shield construction route in the shield construction plan; Generate a visual construction drawing including the shield construction route and the corresponding multiple pile foundation positions and the corresponding regional risk markings; Determine the current construction node of the shield construction route according to the time correspondence between the current time and the shield construction route in the shield construction plan; A circular range is formed with the current construction node as the center and a preset radius, and a portion of the circular range in the visual construction drawing is determined as a construction display plan.

[0012] A second aspect of an embodiment of the present invention discloses a construction data processing system based on pipeline analysis, the system comprising: An acquisition module, used to acquire pipeline data of multiple associated areas of a pile foundation area where a shield construction plan is to be implemented; A prediction module, used for predicting pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the plurality of associated areas; A determination module, configured to determine a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule; A generation module is used to generate a shield construction plan corresponding to the pile foundation area according to the multiple regional risk labels and the shield construction plan.

[0013] As an optional embodiment, in the second aspect of the present invention, the associated area is a vicinity or a similar area of ​​the pile foundation area; the vicinity is a construction area whose distance from the pile foundation area is less than a preset first distance threshold.

[0014] As an optional implementation, in the second aspect of the present invention, the similar area is determined by the following rules: For the pending construction area, obtaining the regional parameters and shield construction route corresponding to the pending construction area; the regional parameters include the area, shape, pile foundation distribution in the area and the location of the area; Calculating the area difference between the area corresponding to the pending construction area and the area of ​​the pile foundation area; Calculating the shape difference between the area shape corresponding to the pending construction area and the shape of the pile foundation area; Calculating the distribution difference between the pile foundation distribution corresponding to the pending construction area and the pile foundation distribution of the pile foundation area; Calculating the distance between the area position corresponding to the pending construction area and the position of the pile foundation area; Calculating the route difference between the shield construction route corresponding to the pending construction area and the planned route of the shield construction plan for the pile foundation area; Calculating a weighted sum of the area difference, the shape difference, the distribution difference, the location distance and the route difference to obtain the area difference corresponding to the pending construction area; When the area difference is less than a preset difference threshold, the pending construction area is determined to be a similar area to the pile foundation area.

[0015] As an optional implementation, in the second aspect of the present invention, the prediction module predicts the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the multiple associated areas, including: The pipeline data and the corresponding regional position of each of the nearby areas are input into the trained pipeline extension prediction model to obtain the regional pipeline prediction result corresponding to the pipeline data of each of the nearby areas; the pipeline extension prediction model is trained by a training data set with pipeline data of multiple training areas and corresponding nearby area pipeline extension distribution annotations; For each of the regional pipeline prediction results, a weighted average value of the similarities between the regional pipeline prediction result and the pipeline data of each of the similar regions is calculated to obtain a similarity parameter corresponding to the regional pipeline prediction result; Calculating a weight value proportional to the similarity parameter to obtain a calculation weight corresponding to the pipeline prediction result of the area; According to the calculation weights, the weighted sum average result of all the regional pipeline prediction results is calculated to obtain the pipeline distribution data corresponding to the pile foundation area.

[0016] As an optional embodiment, in the second aspect of the present invention, in the process of calculating the similarity parameters, the weighted calculation weight of the similarity between the pipeline prediction result of the region and the pipeline data of each similar region is the product of the first weight and the second weight; the first weight is inversely proportional to the line complexity of the pipeline prediction result of the region; the second weight is inversely proportional to the regional difference corresponding to the corresponding similar region.

[0017] As an optional implementation, in the second aspect of the present invention, the determination module determines the specific manner of multiple regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and the preset pile foundation risk analysis rules, including: Determine multiple pile foundation positions and pile foundation types in the pile foundation area; the pile foundation type is a combination of one or more of a friction pile, an end-bearing pile, a non-squeezing pile, a partially squeezing pile, a squeezing pile, a single-row pile, and a multi-row pile; For each of the pile foundation positions, determining a plurality of pipelines in the pipeline distribution data whose minimum distance to the pile foundation position is less than a preset second distance threshold; Determine, according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position, a pipeline associated risk value and a risk type corresponding to the pile foundation position; The corresponding risk types are marked for all the pile foundation positions whose pipeline-associated risk values ​​are greater than a preset risk threshold, so as to obtain a plurality of regional risk markings corresponding to the pile foundation areas.

[0018] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the foundation-associated risk value and risk type corresponding to the pile foundation position according to the pipeline types of the multiple pipelines and the pile foundation type corresponding to the pile foundation position includes: The pipeline type of each pipeline and the pile foundation type corresponding to the pile foundation position are input into a preset pipeline associated risk prediction model to obtain a pipeline risk value and a pipeline risk type corresponding to each pipeline; the pipeline associated risk prediction model is obtained by training a training data set including a plurality of training pipeline types and training pile foundation types and corresponding associated risk annotations; Calculate the product value of the pipeline risk value corresponding to each pipeline and the corresponding minimum distance, and determine the pipeline whose product value is greater than a preset parameter threshold as a risky pipeline; Calculate the average value of the product values ​​corresponding to all the risk pipelines to obtain the foundation-associated risk value corresponding to the pile foundation position; Filter out the pipeline risk types corresponding to all the risk pipelines whose occurrence times are greater than a preset threshold value, and obtain the risk type corresponding to the pile foundation position; the risk type includes at least one of water seepage risk, leakage risk, flammable material leakage risk, lateral stability risk and end stability risk.

[0019] As an optional implementation, in the second aspect of the present invention, the specific manner in which the generating module generates the shield construction scheme corresponding to the pile foundation area according to the multiple regional risk labels and the shield construction plan includes: Determine multiple pile foundation positions and corresponding regional risk labels along the shield construction route in the shield construction plan; Generate a visual construction drawing including the shield construction route and the corresponding multiple pile foundation positions and the corresponding regional risk markings; Determine the current construction node of the shield construction route according to the time correspondence between the current time and the shield construction route in the shield construction plan; A circular range is formed with the current construction node as the center and a preset radius, and a portion of the circular range in the visual construction drawing is determined as a construction display plan.

[0020] The third aspect of the present invention discloses another construction data processing system based on pipeline analysis, the system comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute part or all of the steps in the construction data processing method based on pipeline analysis disclosed in the first aspect of the present invention.

[0021] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the construction data processing method based on pipeline analysis disclosed in the first aspect of the present invention.

[0022] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The present invention can automatically predict the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple related areas, and then analyze the risks of multiple areas corresponding to the pile foundation area based on the pipeline distribution data, so as to generate a shield construction plan corresponding to the pile foundation area, thereby being able to more efficiently and intelligently predict and mark the risks of the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of a construction data processing method based on pipeline analysis disclosed in an embodiment of the present invention.

[0025] Figure 2 It is a structural schematic diagram of a construction data processing system based on pipeline analysis disclosed in an embodiment of the present invention.

[0026] Figure 3 It is a structural schematic diagram of another construction data processing system based on pipeline analysis disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0029] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0030] The present invention discloses a construction data processing method and system based on pipeline analysis, which can automatically predict the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple associated areas, and then analyze the risks of multiple areas corresponding to the pile foundation area based on the pipeline distribution data, so as to generate a shield construction plan corresponding to the pile foundation area, so as to more efficiently and intelligently predict and mark the risks of the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency. The following are detailed descriptions.

[0031] Embodiment 1 See also Figure 1 , Figure 1 : is a flow chart of a construction data processing method based on pipeline analysis disclosed in an embodiment of the present invention. Figure 1 The construction data processing method based on pipeline analysis described above can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 1 As shown, the construction data processing method based on pipeline analysis may include the following operations: 101. Obtain pipeline data for multiple associated areas of the pile foundation area where the shield construction plan is to be implemented.

[0032] 102. According to pipeline data of multiple associated areas, predict pipeline distribution data corresponding to the pile foundation area.

[0033] 103. Based on the pipeline distribution data and the preset pile foundation risk analysis rules, multiple regional risk labels corresponding to the pile foundation area are determined.

[0034] 104. Based on the risk labels of multiple areas and the shield construction plan, generate the shield construction plan corresponding to the pile foundation area.

[0035] It can be seen that the above-mentioned embodiment of the invention can automatically predict the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple related areas, and then analyze the risks of multiple areas corresponding to the pile foundation area based on the pipeline distribution data, so as to generate a shield construction plan corresponding to the pile foundation area, thereby being able to more efficiently and intelligently predict and mark the risks of the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0036] As an optional embodiment, in the above steps, the associated area is a vicinity or a similar area of ​​the pile foundation area; the vicinity is a construction area whose distance from the pile foundation area is less than a preset first distance threshold.

[0037] It can be seen that through the above optional embodiments, the type of associated area is defined, which can be used to more accurately characterize the related areas with the target pile foundation area, facilitate the subsequent generation of a safer and more comprehensive shield construction plan, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0038] As an optional embodiment, in the above steps, the similar area is determined by the following rules: For the pending construction area, obtain the regional parameters and shield construction route corresponding to the pending construction area; optionally, the regional parameters include the area, shape, pile foundation distribution in the area and the location of the area; Calculate the area difference between the area corresponding to the pending construction area and the area of ​​the pile foundation area; Calculate the shape difference between the area shape corresponding to the pending construction area and the shape of the pile foundation area; Calculate the distribution difference between the pile foundation distribution corresponding to the pending construction area and the pile foundation distribution in the pile foundation area; Calculate the position distance between the area position corresponding to the pending construction area and the position of the pile foundation area; Calculate the route difference between the shield construction route corresponding to the undetermined construction area and the planned route of the shield construction plan for the pile foundation area; Calculate the weighted sum of area difference, shape difference, distribution difference, location distance and route difference to obtain the regional difference corresponding to the pending construction area; When the regional difference is less than a preset difference threshold, the pending construction area is determined to be a similar area to the pile foundation area.

[0039] It can be seen that through the above-mentioned optional embodiments, the difference between the pending construction area and the target pile foundation area can be determined based on the difference calculation of regional parameters and shield construction routes, so as to determine more reasonable and similar similar areas, which is convenient for the subsequent accurate prediction of pipeline distribution in the pile foundation area, and assists in realizing more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0040] As an optional embodiment, in the above step, predicting the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple associated areas includes: The pipeline data and the corresponding regional position of each nearby area are input into the trained pipeline extension prediction model to obtain the regional pipeline prediction result corresponding to the pipeline data of each nearby area; optionally, the pipeline extension prediction model is trained by a training data set with pipeline data of multiple training areas and corresponding nearby area pipeline extension distribution annotations; For each regional pipeline prediction result, a weighted sum average of the similarities between the regional pipeline prediction result and the pipeline data of each similar region is calculated to obtain a similarity parameter corresponding to the regional pipeline prediction result; Calculate the weight value proportional to the similarity parameter to obtain the calculation weight corresponding to the pipeline prediction result in the area; According to the calculation weights, the weighted sum average result of the pipeline prediction results in all regions is calculated to obtain the pipeline distribution data corresponding to the pile foundation area.

[0041] It can be seen that through the above optional embodiments, the extension of pipelines in nearby areas to the target pile foundation area can be predicted through the trained pipeline extension prediction model, and the calculation weight of the prediction result can be determined by the similarity of pipeline data in similar areas, so as to finally determine the pipeline distribution data corresponding to the pile foundation area through weighted average calculation, so as to facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in realizing more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0042] As an optional embodiment, in the above steps, during the calculation of the similarity parameters, the weighted calculation weight of the similarity between the pipeline prediction result of the region and the pipeline data of each similar region is the product of the first weight and the second weight; the first weight is inversely proportional to the line complexity of the pipeline prediction result of the region; the second weight is inversely proportional to the regional difference corresponding to the corresponding similar region.

[0043] It can be seen that through the above-mentioned optional embodiments, the weight rules in the process of calculating the similarity parameters corresponding to the regional pipeline prediction results are defined, and the line complexity of the prediction results and the regional differences of similar areas can be combined to accurately adjust the proportion of each similarity result, so as to finally accurately calculate the pipeline distribution data corresponding to the pile foundation area, facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0044] As an optional embodiment, in the above steps, according to the pipeline distribution data and the preset pile foundation risk analysis rules, multiple regional risk labels corresponding to the pile foundation area are determined, including: Determine multiple pile foundation positions and pile foundation types in the pile foundation area; optionally, the pile foundation type is a combination of one or more of a friction pile, an end-bearing pile, a non-squeezing pile, a partially squeezing pile, a squeezing pile, a single-row pile, and a multi-row pile; For each pile foundation position, determining a plurality of pipelines in the pipeline distribution data whose minimum distance to the pile foundation position is less than a preset second distance threshold; According to the pipeline types of the multiple pipelines and the pile foundation type corresponding to the pile foundation position, determine the pipeline associated risk value and risk type corresponding to the pile foundation position; The corresponding risk types are marked for all pile foundation locations where the pipeline-associated risk values ​​are greater than a preset risk threshold, and multiple regional risk markings corresponding to the pile foundation areas are obtained.

[0045] It can be seen that through the above-mentioned optional embodiments, it is possible to calculate the pipeline-related risks of the pile foundation positions in the pile foundation area, screen out high-risk pile foundation positions for marking and forming risk markings, so as to facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0046] As an optional embodiment, in the above steps, determining the foundation-associated risk value and risk type corresponding to the pile foundation position according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position includes: The pipeline type of each pipeline and the pile foundation type corresponding to the pile foundation position are input into a preset pipeline associated risk prediction model to obtain the pipeline risk value and pipeline risk type corresponding to each pipeline; optionally, the pipeline associated risk prediction model is obtained by training a training data set including a plurality of training pipeline types and training pile foundation types and corresponding associated risk annotations; Calculate the product of the pipeline risk value and the corresponding minimum distance corresponding to each pipeline, and determine the pipeline whose product value is greater than a preset parameter threshold as a risky pipeline; Calculate the average of the product values ​​corresponding to all risk pipelines to obtain the foundation-associated risk value corresponding to the pile foundation position; Filter out the pipeline risk types corresponding to all risky pipelines whose occurrence times are greater than a preset threshold value, and obtain the risk type corresponding to the pile foundation position; the risk type includes at least one of water seepage risk, leakage risk, flammable material leakage risk, lateral stability risk and end stability risk.

[0047] It can be seen that through the above optional embodiments, the type and degree of risk that dangerous pipelines may cause to pile foundations can be predicted through the pipeline-associated risk prediction model, so as to accurately determine the foundation-associated risk value and risk type corresponding to the pile foundation position, facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0048] As an optional embodiment, in the above steps, generating a shield construction plan corresponding to the pile foundation area according to the risk labels of multiple areas and the shield construction plan includes: Along the shield construction route in the shield construction plan, determine the locations of multiple pile foundations and the corresponding regional risk markings; Generate a visual construction drawing including the shield construction route and the corresponding multiple pile foundation locations and corresponding regional risk annotations; According to the current time and the time correspondence between the shield construction route in the shield construction plan, determine the current construction node of the shield construction route; A circular range is formed with the current construction node as the center and a preset radius, and the part of the circular range in the visual construction drawing is determined as the construction display plan.

[0049] It can be seen that through the above-mentioned optional embodiments, it is possible to determine a visual construction drawing through a plurality of pile foundation positions passed by the shield construction route in the shield construction plan and the corresponding risk markings of the area, and in the real-time construction process, the visual construction drawing that needs to be paid attention to corresponding to the construction progress at the current time is determined as a display plan to assist construction operators to construct more safely and achieve more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0050] Embodiment 2 See also Figure 2 , Figure 2 : is a schematic diagram of a construction data processing system based on pipeline analysis disclosed in an embodiment of the present invention. Figure 2 The construction data processing system based on pipeline analysis described above can be applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 2 As shown, the construction data processing system based on pipeline analysis may include: The acquisition module 201 is used to acquire pipeline data of multiple associated areas of the pile foundation area where the shield construction plan is to be implemented.

[0051] The prediction module 202 is used to predict the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple associated areas.

[0052] The determination module 203 is used to determine a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and the preset pile foundation risk analysis rules.

[0053] The generation module 204 is used to generate a shield construction plan corresponding to the pile foundation area according to the risk labels of multiple areas and the shield construction plan.

[0054] It can be seen that the above-mentioned embodiment of the invention can automatically predict the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple related areas, and then analyze the risks of multiple areas corresponding to the pile foundation area based on the pipeline distribution data, so as to generate a shield construction plan corresponding to the pile foundation area, thereby being able to more efficiently and intelligently predict and mark the risks of the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0055] As an optional embodiment, the associated area is a vicinity or a similar area of ​​the pile foundation area; the vicinity is a construction area whose distance from the pile foundation area is less than a preset first distance threshold.

[0056] It can be seen that through the above optional embodiments, the type of associated area is defined, which can be used to more accurately characterize the related areas with the target pile foundation area, facilitate the subsequent generation of a safer and more comprehensive shield construction plan, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0057] As an optional embodiment, similar areas are determined by the following rules: For the pending construction area, obtain the regional parameters and shield construction route corresponding to the pending construction area; optionally, the regional parameters include the area, shape, pile foundation distribution in the area and the location of the area; Calculate the area difference between the area corresponding to the pending construction area and the area of ​​the pile foundation area; Calculate the shape difference between the area shape corresponding to the pending construction area and the shape of the pile foundation area; Calculate the distribution difference between the pile foundation distribution corresponding to the pending construction area and the pile foundation distribution in the pile foundation area; Calculate the position distance between the area position corresponding to the pending construction area and the position of the pile foundation area; Calculate the route difference between the shield construction route corresponding to the undetermined construction area and the planned route of the shield construction plan for the pile foundation area; Calculate the weighted sum of area difference, shape difference, distribution difference, location distance and route difference to obtain the regional difference corresponding to the pending construction area; When the regional difference is less than a preset difference threshold, the pending construction area is determined to be a similar area to the pile foundation area.

[0058] It can be seen that through the above-mentioned optional embodiments, the difference between the pending construction area and the target pile foundation area can be determined based on the difference calculation of regional parameters and shield construction routes, so as to determine more reasonable and similar similar areas, which is convenient for the subsequent accurate prediction of pipeline distribution in the pile foundation area, and assists in realizing more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0059] As an optional embodiment, the prediction module predicts the pipeline distribution data corresponding to the pile foundation area according to the pipeline data of multiple associated areas, including: The pipeline data and the corresponding regional position of each nearby area are input into the trained pipeline extension prediction model to obtain the regional pipeline prediction result corresponding to the pipeline data of each nearby area; optionally, the pipeline extension prediction model is trained by a training data set with pipeline data of multiple training areas and corresponding nearby area pipeline extension distribution annotations; For each regional pipeline prediction result, a weighted sum average of the similarities between the regional pipeline prediction result and the pipeline data of each similar region is calculated to obtain a similarity parameter corresponding to the regional pipeline prediction result; Calculate the weight value proportional to the similarity parameter to obtain the calculation weight corresponding to the pipeline prediction result in the area; According to the calculation weights, the weighted sum average result of the pipeline prediction results in all regions is calculated to obtain the pipeline distribution data corresponding to the pile foundation area.

[0060] It can be seen that through the above optional embodiments, the extension of pipelines in nearby areas to the target pile foundation area can be predicted through the trained pipeline extension prediction model, and the calculation weight of the prediction result can be determined by the similarity of pipeline data in similar areas, so as to finally determine the pipeline distribution data corresponding to the pile foundation area through weighted average calculation, so as to facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in realizing more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0061] As an optional embodiment, in the process of calculating the similarity parameters, the weighted calculation weight of the similarity between the pipeline prediction result of the region and the pipeline data of each similar region is the product of the first weight and the second weight; the first weight is inversely proportional to the line complexity of the pipeline prediction result of the region; the second weight is inversely proportional to the regional difference corresponding to the corresponding similar region.

[0062] It can be seen that through the above-mentioned optional embodiments, the weight rules in the process of calculating the similarity parameters corresponding to the regional pipeline prediction results are defined, and the line complexity of the prediction results and the regional differences of similar areas can be combined to accurately adjust the proportion of each similarity result, so as to finally accurately calculate the pipeline distribution data corresponding to the pile foundation area, facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0063] As an optional embodiment, the determination module determines the specific method of multiple regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and the preset pile foundation risk analysis rules, including: Determine multiple pile foundation positions and pile foundation types in the pile foundation area; optionally, the pile foundation type is a combination of one or more of a friction pile, an end-bearing pile, a non-squeezing pile, a partially squeezing pile, a squeezing pile, a single-row pile, and a multi-row pile; For each pile foundation position, determining a plurality of pipelines in the pipeline distribution data whose minimum distance to the pile foundation position is less than a preset second distance threshold; According to the pipeline types of the multiple pipelines and the pile foundation type corresponding to the pile foundation position, determine the pipeline associated risk value and risk type corresponding to the pile foundation position; The corresponding risk types are marked for all pile foundation locations where the pipeline-associated risk values ​​are greater than a preset risk threshold, and multiple regional risk markings corresponding to the pile foundation areas are obtained.

[0064] It can be seen that through the above-mentioned optional embodiments, it is possible to calculate the pipeline-related risks of the pile foundation positions in the pile foundation area, screen out high-risk pile foundation positions for marking and forming risk markings, so as to facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0065] As an optional embodiment, the specific manner in which the determination module determines the foundation-associated risk value and risk type corresponding to the pile foundation position according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position includes: The pipeline type of each pipeline and the pile foundation type corresponding to the pile foundation position are input into a preset pipeline associated risk prediction model to obtain the pipeline risk value and pipeline risk type corresponding to each pipeline; optionally, the pipeline associated risk prediction model is obtained by training a training data set including a plurality of training pipeline types and training pile foundation types and corresponding associated risk annotations; Calculate the product of the pipeline risk value and the corresponding minimum distance corresponding to each pipeline, and determine the pipeline whose product value is greater than the preset parameter threshold as a risky pipeline; Calculate the average of the product values ​​corresponding to all risk pipelines to obtain the foundation-associated risk value corresponding to the pile foundation position; Filter out the pipeline risk types corresponding to all risky pipelines whose occurrence times are greater than a preset threshold value, and obtain the risk type corresponding to the pile foundation position; the risk type includes at least one of water seepage risk, leakage risk, flammable material leakage risk, lateral stability risk and end stability risk.

[0066] It can be seen that through the above optional embodiments, the type and degree of risk that dangerous pipelines may cause to pile foundations can be predicted through the pipeline-associated risk prediction model, so as to accurately determine the foundation-associated risk value and risk type corresponding to the pile foundation position, facilitate the subsequent generation of safer and more comprehensive shield construction plans, and assist in more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0067] As an optional embodiment, the generation module generates a specific method of a shield construction plan corresponding to the pile foundation area according to the risk labels of multiple areas and the shield construction plan, including: Along the shield construction route in the shield construction plan, determine the locations of multiple pile foundations and the corresponding regional risk markings; Generate a visual construction drawing including the shield construction route and the corresponding multiple pile foundation locations and corresponding regional risk annotations; According to the current time and the time correspondence between the shield construction route in the shield construction plan, determine the current construction node of the shield construction route; A circular range is formed with the current construction node as the center and a preset radius, and the part of the circular range in the visual construction drawing is determined as the construction display plan.

[0068] It can be seen that through the above-mentioned optional embodiments, it is possible to determine a visual construction drawing through a plurality of pile foundation positions passed by the shield construction route in the shield construction plan and the corresponding risk markings of the area, and in the real-time construction process, the visual construction drawing that needs to be paid attention to corresponding to the construction progress at the current time is determined as a display plan to assist construction operators to construct more safely and achieve more efficient and intelligent prediction and marking of risks in the construction area, so as to make the construction plan more reasonable and safe, reduce labor costs, and improve construction efficiency.

[0069] Embodiment 3 See also Figure 3 , Figure 3 It is another construction data processing system based on pipeline analysis disclosed in an embodiment of the present invention. Figure 3 The described construction data processing system based on pipeline analysis is applied to a data processing system / data processing device / data processing server (wherein the server includes a local processing server or a cloud processing server). Figure 3 As shown, the construction data processing system based on pipeline analysis may include: A memory 301 storing executable program codes; a processor 302 coupled to the memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the construction data processing method based on pipeline analysis described in the first embodiment.

[0070] Embodiment 4 An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the construction data processing method based on pipeline analysis described in the first embodiment.

[0071] Embodiment 5 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the construction data processing method based on pipeline analysis described in the first embodiment.

[0072] The above describes specific embodiments of the present specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily have to be performed in the specific order or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0073] The systems, devices, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0074] For the convenience of description, the above device is described in various units according to their functions. Of course, when implementing this specification, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0075] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification may be in the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0076] This specification is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of this specification. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0079] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0080] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0081] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0082] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0083] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media including storage devices.

[0084] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0085] Finally, it should be noted that the construction data processing method and system based on pipeline analysis disclosed in the embodiment of the present invention only discloses the preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A construction data processing method based on pipeline analysis, characterized in that: The method comprises: Obtain pipeline data for multiple associated areas of the pile foundation area where the shield construction plan is to be implemented; Predicting pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the plurality of associated areas; Determine a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule; A shield construction plan corresponding to the pile foundation area is generated according to the multiple regional risk labels and the shield construction plan.

2. The construction data processing method based on pipeline analysis according to claim 1 is characterized in that: The associated area is a vicinity or a similar area to the pile foundation area; the vicinity is a construction area whose distance from the pile foundation area is less than a preset first distance threshold.

3. The construction data processing method based on pipeline analysis according to claim 2 is characterized in that: The similarity area is determined by the following rules: For the pending construction area, obtaining the regional parameters and shield construction route corresponding to the pending construction area; the regional parameters include the area, shape, pile foundation distribution in the area and the location of the area; Calculating the area difference between the area corresponding to the pending construction area and the area of ​​the pile foundation area; Calculating the shape difference between the area shape corresponding to the pending construction area and the shape of the pile foundation area; Calculating the distribution difference between the pile foundation distribution corresponding to the pending construction area and the pile foundation distribution of the pile foundation area; Calculating the distance between the area position corresponding to the pending construction area and the position of the pile foundation area; Calculating the route difference between the shield construction route corresponding to the pending construction area and the planned route of the shield construction plan for the pile foundation area; Calculating a weighted sum of the area difference, the shape difference, the distribution difference, the location distance and the route difference to obtain the area difference corresponding to the pending construction area; When the area difference is less than a preset difference threshold, the pending construction area is determined to be a similar area to the pile foundation area.

4. The construction data processing method based on pipeline analysis according to claim 3 is characterized in that: The predicting of pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the plurality of associated areas includes: The pipeline data and the corresponding regional position of each of the nearby areas are input into the trained pipeline extension prediction model to obtain the regional pipeline prediction result corresponding to the pipeline data of each of the nearby areas; the pipeline extension prediction model is trained by a training data set with pipeline data of multiple training areas and corresponding nearby area pipeline extension distribution annotations; For each of the regional pipeline prediction results, a weighted average value of the similarities between the regional pipeline prediction result and the pipeline data of each of the similar regions is calculated to obtain a similarity parameter corresponding to the regional pipeline prediction result; Calculating a weight value proportional to the similarity parameter to obtain a calculation weight corresponding to the pipeline prediction result of the area; According to the calculation weights, the weighted sum average result of all the regional pipeline prediction results is calculated to obtain the pipeline distribution data corresponding to the pile foundation area.

5. The construction data processing method based on pipeline analysis according to claim 4 is characterized in that: In the process of calculating the similarity parameter, the weighted calculation weight of the similarity between the pipeline prediction result of the region and the pipeline data of each similar region is the product of the first weight and the second weight; The first weight is inversely proportional to the line complexity of the pipeline prediction result of the area; the second weight is inversely proportional to the regional difference corresponding to the corresponding similar area.

6. The construction data processing method based on pipeline analysis according to claim 1 is characterized in that: Determining a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule includes: Determine multiple pile foundation positions and pile foundation types in the pile foundation area; the pile foundation type is a combination of one or more of a friction pile, an end-bearing pile, a non-squeezing pile, a partially squeezing pile, a squeezing pile, a single-row pile, and a multi-row pile; For each of the pile foundation positions, determining a plurality of pipelines in the pipeline distribution data whose minimum distance to the pile foundation position is less than a preset second distance threshold; Determine, according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position, a pipeline associated risk value and a risk type corresponding to the pile foundation position; The corresponding risk types are marked for all the pile foundation positions whose pipeline-associated risk values ​​are greater than a preset risk threshold, so as to obtain a plurality of regional risk markings corresponding to the pile foundation areas.

7. The construction data processing method based on pipeline analysis according to claim 6 is characterized in that: The determining, according to the pipeline types of the plurality of pipelines and the pile foundation type corresponding to the pile foundation position, the foundation-associated risk value and the risk type corresponding to the pile foundation position comprises: The pipeline type of each pipeline and the pile foundation type corresponding to the pile foundation position are input into a preset pipeline associated risk prediction model to obtain a pipeline risk value and a pipeline risk type corresponding to each pipeline; the pipeline associated risk prediction model is obtained by training a training data set including a plurality of training pipeline types and training pile foundation types and corresponding associated risk annotations; Calculate the product value of the pipeline risk value corresponding to each pipeline and the corresponding minimum distance, and determine the pipeline whose product value is greater than a preset parameter threshold as a risky pipeline; Calculate the average value of the product values ​​corresponding to all the risk pipelines to obtain the foundation-associated risk value corresponding to the pile foundation position; Filter out the pipeline risk types corresponding to all the risk pipelines whose occurrence times are greater than a preset threshold value, and obtain the risk type corresponding to the pile foundation position; the risk type includes at least one of water seepage risk, leakage risk, flammable material leakage risk, lateral stability risk and end stability risk.

8. The construction data processing method based on pipeline analysis according to claim 7 is characterized in that: The generating a shield construction plan corresponding to the pile foundation area according to the risk labels of the multiple areas and the shield construction plan includes: Determine multiple pile foundation positions and corresponding regional risk labels along the shield construction route in the shield construction plan; Generate a visual construction drawing including the shield construction route and the corresponding multiple pile foundation positions and the corresponding regional risk markings; Determine the current construction node of the shield construction route according to the time correspondence between the current time and the shield construction route in the shield construction plan; A circular range is formed with the current construction node as the center and a preset radius, and a portion of the circular range in the visual construction drawing is determined as a construction display plan.

9. A construction data processing system based on pipeline analysis, characterized in that: The system comprises: An acquisition module, used to acquire pipeline data of multiple associated areas of a pile foundation area where a shield construction plan is to be implemented; A prediction module, used for predicting pipeline distribution data corresponding to the pile foundation area according to the pipeline data of the plurality of associated areas; A determination module, configured to determine a plurality of regional risk labels corresponding to the pile foundation area according to the pipeline distribution data and a preset pile foundation risk analysis rule; A generation module is used to generate a shield construction plan corresponding to the pile foundation area according to the multiple regional risk labels and the shield construction plan.

10. A construction data processing system based on pipeline analysis, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the construction data processing method based on pipeline analysis as described in any one of claims 1-8.

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