Multi-line parallel high-speed railway catenary hard cross beam group replacement method and system

Abstract

The application belongs to the technical field of high-speed railway. A multi-line parallel high-speed railway catenary hard cross beam group replacement method comprises the following steps: obtaining parameter information of the hard cross beam by using relative positioning method and vertical projection method according to existing hard cross beam span, new line design coordinates and high-speed railway span ratio specification; collecting geographical data within the construction range, and obtaining a safety state evaluation report by using a time series model to predict the settlement trend; selecting an optimal installation scheme for the parameter information and the safety state evaluation report of each hard cross beam according to the parameter information of the hard cross beam, the time limit of the window point and the crane resource list, and generating a collaborative construction plan; in the process of executing the collaborative construction plan, real-time data representing the work progress and the structure safety are obtained to obtain real-time feedback data; and the subsequent construction scheme is adjusted by using a rolling horizon optimization strategy and an expert rule base according to the feedback data to form a decision instruction.

Description

Technical Field

[0001] This application belongs to the field of high-speed railway technology, and in particular relates to a method and system for grouping and replacing rigid crossbeams of multi-line parallel high-speed railway catenary. Background Technology

[0002] In the introduction of new high-speed railway lines or the capacity expansion and renovation of existing lines, the group replacement of overhead contact line rigid crossbeams alongside busy operating lines is an extremely complex challenge. The core difficulty lies in how to safely and efficiently coordinate the replacement of dozens of rigid crossbeams within a very limited maintenance window. Traditional construction management methods rely heavily on static planning based on manual experience, making it difficult to cope with rapidly changing and complex on-site situations. Specifically, the formulated construction plan cannot accurately predict and avoid potential spatial and temporal conflicts when multiple large cranes are operating in confined spaces; when schedule deviations or sudden safety risks occur, there is a lack of rapid and scientific dynamic adjustment mechanisms, often relying solely on on-site decisions by command personnel. This is not only inefficient but also poses a significant threat to the operational safety of adjacent high-speed railways.

[0003] Therefore, the industry urgently needs a method and system for grouping and replacing the rigid crossbeams of multi-line parallel high-speed railway catenary to solve the above-mentioned technical problems. Summary of the Invention

[0004] The main objective of this application is to provide a method and system for grouping and replacing the rigid crossbeams of the overhead contact system of a multi-line parallel high-speed railway, so as to solve the technical problem of low efficiency in the existing technology that relies on on-site command personnel for decision-making.

[0005] Therefore, it is necessary to provide a method and system for grouping and replacing the rigid crossbeams of the overhead contact system of multi-line parallel high-speed railways to address the aforementioned technical problems.

[0006] Firstly, this application provides a method for grouping and replacing rigid crossbeams of the overhead contact system in multi-line parallel high-speed railways, the method comprising:

[0007] Based on the existing rigid crossbeam span, the new line design coordinates, and the high-speed railway span ratio specifications, the parameter information of the rigid crossbeam is obtained by calculation using the relative positioning method and the vertical projection method. The parameter information of the rigid crossbeam includes the coordinates of the center of the foundation pit of the new line and the length data of the rigid crossbeam.

[0008] Collect geographical data within the construction area and use a time series model to predict the settlement trend to obtain a safety status assessment report. The geographical data includes at least settlement data, displacement data, and water level data.

[0009] Based on the parameter information of the rigid crossbeam, the time limit of the skylight point and the list of crane resources, for the parameter information and safety status assessment report of each rigid crossbeam, the optimal installation scheme is selected from the preset installation process database, and a collaborative construction plan is generated based on the grouped replacement scheme of multiple rigid crossbeams.

[0010] During the execution of the collaborative construction plan, data representing the progress of the work and structural safety are acquired in real time to obtain real-time feedback data, wherein the feedback data represents progress data and monitoring data;

[0011] Based on the feedback data, the subsequent construction plan is adjusted using a rolling time-domain optimization strategy and an expert rule base to form decision instructions. The expert rule base represents the response strategies formed by experts based on the construction problems.

[0012] In some feasible methods, the step of calculating the parameter information of the rigid crossbeam based on the existing rigid crossbeam span, the new line design coordinates, and the high-speed railway span ratio specifications, using the relative positioning method and the vertical projection method, includes:

[0013] Using the relative positioning method, the side column of the existing rigid crossbeam is taken as the reference point. Along the line direction, combined with the high-speed railway span ratio specification and the design coordinates of the new line, the theoretical position of the new line side foundation pit is calculated, and the center coordinates of the new line side foundation pit are obtained.

[0014] Using the vertical projection method, a laser beam is vertically projected onto the track centerline near the existing pit location on the existing line side. Through the principle of optical projection, the center point of the pit is marked at the laser vertical track position on the existing line, and the center coordinates of the pit on the existing line side are obtained.

[0015] Based on the center coordinates of the newly built line-side foundation pit and the center coordinates of the existing line-side foundation pit, the precise length data of the rigid crossbeam is obtained.

[0016] In some feasible methods, the steps of collecting geographical data within the construction area and using time series models to predict settlement trends to obtain a safety status assessment report include:

[0017] Using data acquisition equipment, geographic data of monitoring points within the construction area are collected according to preset time points to obtain a time-series geographic data stream;

[0018] The time-series geographic data stream is input into the trained time series model to obtain the subsidence and displacement trends of the monitoring points over a future period.

[0019] Based on the current measured values ​​of each monitoring point, as well as the trends of settlement and displacement, the values ​​are compared with the preset safety thresholds for the monitoring points, and a safety status assessment report is generated based on the comparison results.

[0020] In some feasible methods, the steps of selecting the optimal installation scheme from a preset installation process database based on the parameter information of the rigid crossbeam, the time limit of the skylight point, and the crane resource list, for the parameter information and safety status assessment report of each rigid crossbeam, and generating a collaborative construction plan based on the grouped replacement schemes of multiple rigid crossbeams, include:

[0021] Based on the parameter information of each rigid crossbeam and the corresponding safety status in the safety status assessment report, the optimal installation scheme with the highest matching degree is obtained by matching with the rules in the process database.

[0022] Using the time limit of the skylight point as a constraint, and based on the optimal installation scheme and the crane resource list, resources are allocated to obtain the operation scheme for each rigid crossbeam.

[0023] The work plan for each rigid crossbeam is subjected to conflict detection and collaborative optimization to generate a collaborative construction plan.

[0024] In some feasible methods, the step of acquiring data characterizing work progress and structural safety in real time during the execution of a collaborative construction plan, and obtaining real-time feedback data, includes:

[0025] During the execution of the collaborative construction plan, data representing the progress of the work is acquired in real time. The data representing the progress of the work includes key node data captured by construction workers or cameras.

[0026] During the execution of the collaborative construction plan, data characterizing structural safety are acquired in real time, wherein the structural safety data refers to data collected by acquisition devices;

[0027] The work progress data and the structural safety data are matched with the collaborative construction plan to obtain feedback data for the collaborative construction plan.

[0028] In some feasible methods, the step of adjusting the subsequent construction plan based on the feedback data using a rolling time-domain optimization strategy and an expert rule base to form decision instructions includes:

[0029] Extract the impact parameters from the feedback data, where the impact parameters represent the magnitude of their impact on the collaborative construction plan;

[0030] Based on the aforementioned influencing parameters, using a rolling time-domain optimization strategy and an expert rule base, the current time is taken as the starting point to adjust subsequent construction plans and form decision instructions.

[0031] Secondly, this application provides a group replacement system for the rigid crossbeams of the overhead contact system in multi-line parallel high-speed railways, applied to the aforementioned method for group replacement of rigid crossbeams in the overhead contact system of multi-line parallel high-speed railways, including:

[0032] The acquisition unit is used to calculate the parameter information of the rigid crossbeam based on the existing rigid crossbeam span, the design coordinates of the new line, and the high-speed railway span ratio specifications, using the relative positioning method and the vertical projection method. The parameter information of the rigid crossbeam includes the center coordinates of the foundation pit of the new line and the length data of the rigid crossbeam.

[0033] The data acquisition unit is used to collect geographical data within the construction area and use a time series model to predict the settlement trend and obtain a safety status assessment report. The geographical data includes at least settlement data, displacement data and water level data.

[0034] The optimization unit is used to select the optimal installation scheme from a preset installation process database based on the parameter information of the rigid crossbeam, the time limit of the skylight point and the crane resource list, the parameter information and safety status assessment report of each rigid crossbeam, and generate a collaborative construction plan based on the grouped replacement scheme of multiple rigid crossbeams.

[0035] The execution unit is used to acquire data representing the progress of the operation and structural safety in real time during the execution of the collaborative construction plan, and obtain real-time feedback data, wherein the feedback data represents progress data and monitoring data;

[0036] The result unit is used to adjust the subsequent construction plan based on the feedback data, using a rolling time-domain optimization strategy and an expert rule base, and to form a decision instruction. The expert rule base represents the response strategy formed by experts based on the construction problem.

[0037] Thirdly, this application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0038] Fourthly, this application provides a computer storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0039] Fifthly, this application provides a computer program that, when executed by a processor, implements the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0040] Beneficial Effects: A method for grouping and replacing rigid crossbeams in the overhead contact system of multi-line parallel high-speed railways. The method includes: calculating the parameter information of the rigid crossbeams based on the existing span, the design coordinates of the new line, and the high-speed railway span ratio specifications using relative positioning and vertical projection methods. The parameter information includes the coordinates of the center of the new line's foundation pit and the length data of the rigid crossbeams; collecting geographical data within the construction area and predicting the settlement trend using a time series model to obtain a safety status assessment report. The geographical data includes at least settlement data, displacement data, and water level data; and based on the parameter information of the rigid crossbeams, the time limit of the maintenance window and the crane... The resource list, based on parameter information and safety status assessment reports for each rigid beam, selects the optimal installation scheme from a pre-set installation process database and generates a collaborative construction plan based on the grouped replacement schemes of multiple rigid beams. During the execution of the collaborative construction plan, data representing work progress and structural safety are acquired in real time, resulting in real-time feedback data, which represents progress data and monitoring data. Based on the feedback data, a rolling time-domain optimization strategy and an expert rule base are used to adjust subsequent construction schemes and form decision instructions. The expert rule base represents the response strategies formed by experts based on construction problems. This method first uses relative positioning and vertical projection methods for accurate calculation in the initial stage, enabling the determination of the center coordinates of the new foundation pit and the length of the rigid beam before earthwork excavation. This lays the foundation for the parallel development of subsequent component prefabrication and foundation construction, effectively overcoming the problem of construction delays caused by the lag in parameter acquisition in traditional methods. Furthermore, by continuously collecting geographical data such as settlement, displacement, and water level within the construction area and using time series models for trend prediction, a scientific assessment of the existing line structure's safety status and early risk warning were achieved, elevating safety management from passive response to proactive protection. Based on this, by comprehensively considering rigid beam parameters, track maintenance window constraints, and resource lists, and using a pre-set installation process database, the optimal installation scheme was intelligently selected for each beam, generating a comprehensive collaborative construction plan. This ensured efficient collaboration and seamless integration of multiple work surfaces and crane resources under strict time and space constraints. During plan execution, feedback was generated by acquiring real-time work progress and structural safety data. A rolling time-domain optimization strategy and an expert rule base were used to dynamically adjust subsequent construction plans and generate decision-making instructions. This gave the entire construction process strong adaptability and anti-interference capabilities, enabling rapid resolution of schedule deviations and unforeseen circumstances. Ultimately, while ensuring the absolute operational safety of the adjacent high-speed railway, the efficiency of group-based replacement construction was maximized. Attached Figure Description

[0041] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application. In the drawings:

[0042] Figure 1 This is a flowchart of a method for grouping and replacing rigid crossbeams in a multi-line parallel high-speed railway contact network, as described in one embodiment. Detailed Implementation

[0043] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0044] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0045] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing this application and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0046] Furthermore, in addition to indicating location or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in some cases to indicate a certain dependency or connection relationship. Those skilled in the art can understand the specific meaning of these terms in this application based on the specific circumstances.

[0047] Furthermore, the terms "installation," "setup," "equipped with," "connection," "linked," and "socketing" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0048] The following explanations of some terms used in this application are provided to aid in understanding the application:

[0049] The relative positioning method is a method for solving the three-dimensional coordinates of ground points by analyzing the relative geometric relationships between two or more images with overlapping areas (stereo pairs). Its core idea is to build a model without relying on known ground control points, but by using the relative orientation elements (such as photographic baseline and relative pose) between the images themselves.

[0050] Vertical projection is a method of orthogonally projecting three-dimensional surface information onto a two-dimensional reference plane (usually a horizontal plane). Its core characteristic is that the projected rays remain perpendicular to the projection plane at all times.

[0051] Rolling time-domain optimization strategy specifically refers to a closed-loop decision-making method that starts from the current construction status, divides the remaining time windows into consecutive short time windows, and dynamically re-solves for the optimal work sequence and resource allocation scheme within each window based on real-time feedback data (such as schedule deviations and settlement warnings), thereby generating subsequent dynamic adjustment instructions. This method, through a "prediction-optimization-execution-feedback" cyclical mechanism, enables the collaborative construction plan to have adaptive capabilities to cope with unexpected on-site situations.

[0052] like Figure 1 As shown, in a first aspect, this application provides a method for grouping and replacing rigid crossbeams of a multi-line parallel high-speed railway contact network, comprising:

[0053] S100, based on the existing rigid crossbeam span, the new line design coordinates, and the high-speed railway span ratio specifications, uses the relative positioning method and the vertical projection method to calculate the parameter information of the rigid crossbeam.

[0054] The rigid crossbeam parameter information includes the center coordinates of the newly built foundation pit and the length data of the rigid crossbeam.

[0055] The purpose of step S100 is to accurately determine the geometric parameters of the new rigid crossbeam and the spatial location of the two foundation pits while ensuring the safe operation of the existing high-speed railway. Using the existing structure as a benchmark, relative measurements are performed based on geometric principles to avoid frequent interference with the existing line and to obtain the precise length of the rigid crossbeam in advance, thus shortening the construction period.

[0056] Specifically, obtaining the parameter information of the rigid crossbeam may include the following steps:

[0057] S101. Using the relative positioning method, the side column of the existing rigid crossbeam is taken as the reference point. Along the line direction, combined with the high-speed railway span ratio specification and the design coordinates of the new line, the theoretical position of the new line side foundation pit is calculated, and the center coordinates of the new line side foundation pit are obtained.

[0058] Specifically, the center point of the new foundation pit is marked on the ground beside the new construction line. The principle is to use the stable existing structure as a reference and deduce the location through relative geometric relationships.

[0059] For example, during the site investigation phase, the locations of all existing electrical equipment are first marked on the drawings. The actual span between the two end posts of the existing rigid crossbeam (i.e., the distance along the track direction) is measured on-site. This data is used to verify the accuracy of the construction drawings and to provide a basis for subsequent calculations. Next, on the site adjacent to the new line, the end posts of the existing rigid crossbeam are used as reliable reference points. Along the track direction, based on the coordinates of the new line centerline given in the design drawings and combined with the high-speed railway specifications for the span of the rigid crossbeam (ensuring that the rigid crossbeam can effectively support the contact wire), the centerline position of the new foundation pit is calculated and preliminarily marked on the ground, starting from the existing end posts.

[0060] At the initially marked points, measurements are taken using surveying instruments (such as a total station) in a direction perpendicular to the track. Based on the design requirements for the new crossbeam side clearance (i.e., the minimum safe distance between the rigid crossbeam structure and the centerline of the new track), the final location of the center point of the new track side pit in the direction perpendicular to the track is determined and marked on the ground. This marked point is the center coordinate of the new track side pit.

[0061] Using the above method, the location of the new side foundation pit can be determined in the early stage of construction without waiting for the foundation pit to be excavated.

[0062] S102 uses the vertical projection method to project a laser beam vertically onto the track centerline near the existing pit location on the existing line side. Through the principle of optical projection, the center point of the pit is marked at the laser vertical track position on the existing line, and the center coordinates of the pit on the existing line side are obtained.

[0063] Specifically, in sensitive areas adjacent to operating lines, the center of the existing line side pit is determined using non-intrusive marking. The principle is to use optical vertical projection to transfer the reference of the existing structure above to the ground.

[0064] For example, on the side of the existing line, the existing rigid beam foundation or its supports are identified as the superordinate reference. The location of this structure is stable and known. Next, a plumb line or laser plumb line is set up near the location of the existing foundation pit. The instrument is precisely aligned with the superordinate reference (such as the center of the existing foundation or a specific marked point). The laser is activated, generating a vertically downward laser beam. The position of the laser beam spot on the ground represents the vertical projection of the superordinate reference point.

[0065] It should be noted that, to ensure the clearance of the new rigid crossbeam is consistent with the existing line, the projection point needs to be associated with the track centerline. The vertical distance between the laser beam projection point and the existing track centerline is measured and confirmed to meet the existing clearance requirements. Finally, the point where this laser beam is vertically projected onto the ground is marked as the center point of the existing line's side pit, thus obtaining its center coordinates. This method minimizes direct contact and interference with the existing line, ensuring operational safety.

[0066] S103. Based on the center coordinates of the newly built line-side foundation pit and the center coordinates of the existing line-side foundation pit, the precise length data of the rigid crossbeam is obtained.

[0067] Specifically, once the center coordinates of the two foundation pits are determined, the length of the rigid crossbeam can be calculated geometrically.

[0068] Obtain the coordinates of the center of the new foundation pit (point A) and the center of the existing foundation pit (point B). Calculate the horizontal distance between points A and B. This distance is the theoretical net length of the required rigid crossbeam.

[0069] Using the above method, the precise length of the rigid beam can be calculated before the excavation of the foundation pit. This allows the procurement and production cycle of the rigid beam to be shortened and carried out in parallel with the foundation construction, thereby saving approximately 30 days of critical construction time for the entire project and solving the bottleneck problem of "waiting for the foundation to be completed before measurement" in traditional methods.

[0070] S200 collects geographical data within the construction area and uses time series models to predict settlement trends, thereby obtaining a safety status assessment report.

[0071] The geographic data includes at least settlement data, displacement data, and water level data.

[0072] In step S200, continuous data collection and analysis of the construction area are conducted to dynamically predict the deformation trend of the structure, thereby issuing early warnings before potential risks occur and generating guiding safety assessment reports.

[0073] Specifically, obtaining a safety status assessment report may include the following steps:

[0074] S201: Using acquisition equipment, geographic data of monitoring points within the construction area are collected according to preset time points to obtain a time-series geographic data stream.

[0075] Specifically, a high-frequency, high-precision data acquisition network will be built to provide a reliable data foundation for trend prediction.

[0076] For example, monitoring points are set up at key locations (such as the edge of existing trackside pits, the roadbed and track of existing lines, and around the pits of newly constructed lines) using automated monitoring equipment. The equipment used at these monitoring points may include:

[0077] Settlement monitoring points: Install static level or high-precision settlement gauges to measure vertical displacement.

[0078] Displacement monitoring point: Install a total station prism or GPS displacement monitoring station to measure horizontal displacement.

[0079] Water level monitoring point: A water level gauge is installed in or near the foundation pit to monitor changes in the groundwater level.

[0080] During data acquisition, a uniform data acquisition frequency is set for all acquisition devices (e.g., once every hour). During critical construction periods (such as foundation pit excavation and dewatering), the acquisition frequency can be increased as needed. Furthermore, the acquisition devices can transmit data to a unified management platform via IoT technology. This unified management platform will then generate a continuous, timestamped, time-series geographic data stream, reducing human intervention and ensuring the real-time nature and objectivity of the data.

[0081] S202, input the time-series geographic data stream into the trained time series model to obtain the subsidence and displacement change trends of the monitoring points over a future period.

[0082] Specifically, accumulated time-series geographic data streams (such as settlement, displacement, and water level data from the past week) are input into a time-series model for training. The task of the time-series model is to learn the intrinsic correlation between changes in geographic data and construction activities (such as excavation and dewatering) and environmental factors (such as time). For example, the time-series model will learn a potential pattern such as "for every 1 meter of excavation in a foundation pit, the settlement rate of the adjacent roadbed typically increases by X%." Once the time-series model is trained, the latest time-series geographic data stream is input. Based on the learned patterns, the time-series model will predict the settlement and displacement trends of each monitoring point over a future period (e.g., the next 24 hours). The prediction result is typically a curve showing the possible direction and range of data development, rather than just a single point value.

[0083] S203, Based on the current measured value of each monitoring point, as well as the settlement and displacement change trend, compare it with the preset safety threshold of the monitoring point, and generate a safety status assessment report based on the comparison result.

[0084] Specifically, the system automatically compares the current measured value and predicted future trend value of each monitoring point with preset multi-level safety thresholds. These thresholds are divided into three levels:

[0085] Warning value (yellow): The rate of change accelerates or the cumulative amount reaches 70% of the preset value, indicating that close attention is needed.

[0086] Alarm value (orange): The cumulative amount or rate of change is approaching the safety limit, indicating that engineering intervention is required.

[0087] Control value (red): If the maximum value allowed by the design is reached, work must be stopped immediately and the emergency plan must be activated.

[0088] Based on the comparison results, the system automatically generates a security status assessment report. The report includes not only a data list but also:

[0089] Visual charts: Display historical data curves and future forecast curves for key monitoring points, making trends clear at a glance.

[0090] Risk point identification: Highlight the locations of monitoring points that exceed the threshold on the construction plan.

[0091] It should be noted that the safety status assessment report can be pre-built with a template, which includes a visualization conversion of historical data curves and future prediction curves of key monitoring points to form a visual chart. The construction site plan is loaded into the safety status assessment report, and monitoring points are marked on the construction site plan. When the data of a monitoring point is abnormal and exceeds the threshold, it will be highlighted on the construction site plan.

[0092] S300: Based on the parameter information of the rigid crossbeam, the time limit of the skylight point, and the list of crane resources, and for each rigid crossbeam, the optimal installation scheme is selected from the preset installation process database, and a collaborative construction plan is generated based on the grouped replacement schemes of multiple rigid crossbeams.

[0093] It should be noted that the purpose of the S300 step is to intelligently select the safest and most efficient installation method for each group of rigid crossbeams with different working conditions, under limited skylight time and crane resources, and to coordinate all work tasks to form a collaborative construction plan that is conflict-free in both time and space and maximizes parallel efficiency.

[0094] Specifically, generating a collaborative construction plan may include the following steps:

[0095] S301. Based on the parameter information of each rigid crossbeam and the corresponding safety status in the safety status assessment report, the optimal installation scheme with the highest matching degree is obtained by matching with the rules in the process database.

[0096] Specifically, this involves customizing an installation plan for each rigid crossbeam. A database containing various mature technologies is established, and clear rules are set. The specific conditions of the current beam are then matched against these rules to select the optimal solution.

[0097] A process database is constructed, which is a rule base storing various verified installation processes and their applicable conditions. In other words, this process database includes matching conditions and corresponding installation processes, which have been verified through historical experience and conform to the building process flow. Key processes include:

[0098] Crossbeam insertion process: This is suitable for scenarios where rigid crossbeams need to pass between multiple existing overhead contact line cables. Its core rules may include: Applicable conditions: Sufficient spacing between new and existing lines, and adequate gaps between cables.

[0099] The beam rotation process is suitable for scenarios where the working space is narrow and direct hoisting is not possible. Its core principle is: Applicable conditions: the working space is limited, but there is an assembly area on one side of the line.

[0100] Crossbeam offset lifting technology: This technique is used when the center of gravity of a rigid crossbeam is not centered. It is an auxiliary technique in the process of interlocking or rotating the beam. Rules include: Applicable conditions: the center of gravity of the beam is offset; function: to adjust the lifting posture and prevent collision with existing equipment.

[0101] Obtain parameter information for each rigid crossbeam (such as length, weight, and center of gravity position), its foundation pit safety assessment report (such as settlement stability), and environmental information of the beam's location (such as the number of power lines it crosses and proximity to high-voltage lines). Next, match this information with the process database, comparing the input parameters with the rules in the database. For example:

[0102] Rule 1: If a rigid crossbeam needs to cross 4 or more main lines and there are no high-voltage lines obstructing the surrounding area, the "crossbeam insertion process" shall be used as the first choice.

[0103] Rule 2: If the rigid crossbeam crosses a few lines but the working space is extremely limited, or is near a 110KV high-voltage line (extreme caution is required even if there is a power outage), then the "crossbeam rotation process" should be used as the first choice.

[0104] Rule 3: If the safety assessment report shows that the settlement rate of a certain foundation pit is close to the warning value, when selecting a scheme for the rigid crossbeam on that side, the process that causes great disturbance to the foundation should be excluded, and the scheme with short operation time and stable hoisting should be given priority.

[0105] By matching rules, the optimal installation scheme with the highest matching degree is output for each rigid crossbeam, and its key construction steps and precautions are clearly defined.

[0106] S302, using the time limit of the skylight point as a constraint, and according to the optimal installation scheme and the crane resource list, resource allocation is performed to obtain the operation scheme for each rigid crossbeam.

[0107] Specifically, the determined installation plan is transformed into an executable work plan, especially by completing all resource allocation within a strict timeframe (skylight).

[0108] For example, time estimation: Based on the optimal installation plan determined in S301, analyze its work process (e.g., site preparation, beam assembly, cable relocation, hoisting and positioning, adjustment and restoration, etc.) and estimate the standard operating time required for each process step. Resource matching and allocation: Refer to the crane resource list (e.g., number of available cranes, model, tonnage, boom length) to allocate appropriate cranes for each work plan. For example, for heavy, long-span rigid beams, large-tonnage cranes must be allocated; for complex working conditions requiring multiple cranes, multiple cranes with matching performance should be allocated. In addition, the required manpower teams, special tools (e.g., sway ropes, lever hoists), and other resources can be allocated as needed.

[0109] Work scheduling within the track maintenance window: The track maintenance window time limit (e.g., 0:00-4:00 AM, a total of 240 minutes) is used as an absolute constraint, employing a "reverse scheduling" method. Starting from the end time of the track maintenance window, the start and end times for each work phase are arranged, allowing time for phases such as "construction preparation," "line restoration," and "equipment removal." The final work plan for each rigid crossbeam includes the track maintenance window date, work content, crane number used, responsible person, start time, and end time.

[0110] S303 performs conflict detection and collaborative optimization on the operation plan for each rigid crossbeam, generating a collaborative construction plan.

[0111] Specifically, in step S302, after the operation plan for each rigid crossbeam is determined, spatiotemporal conflict detection is required. Spatiotemporal conflict detection includes spatial conflicts, temporal conflicts, and logical conflicts.

[0112] Spatial conflict: Check whether there is a risk of mutual interference between the booms and working radii of cranes on different work surfaces. For example, check whether the booms of two adjacent cranes will collide when they are working simultaneously.

[0113] Time conflict: Check if the same critical equipment (such as a single large-tonnage crane) is assigned to perform two different tasks within the same time window.

[0114] Logical conflicts: Check the logical sequence of work processes. For example, an old rigid crossbeam can only be removed after a set of rigid crossbeams has been installed and the existing overhead contact wires have been moved to the new beams. This sequence cannot be reversed.

[0115] After confirming that no conflicts have occurred during the detection, further collaborative optimization is still required:

[0116] Grouping and Parallel Operations: Non-conflicting replacement operations of rigid crossbeams are grouped and scheduled for parallel construction within the same maintenance window. For example, replacing 10 groups of rigid crossbeams can be coordinated by 5 cranes working simultaneously, significantly reducing the overall construction period.

[0117] Process coupling: Closely link related processes. For example, the processes of "removing the old rigid crossbeams and supports" and "connecting the new anchors" can be completed consecutively within the same maintenance window, reducing repeated impacts on train operation.

[0118] Resource smoothing: Optimize resource usage curves to avoid peaks and troughs in demand for resources such as cranes, thus maintaining stable and efficient utilization.

[0119] Finally, a collaborative construction plan is generated. This plan can be presented in the form of a Gantt chart and a construction layout plan, clearly showing the start and end times, logical relationships, resource allocation, and spatial location of all rigid beam replacement operations.

[0120] It should be noted that the essence of spatiotemporal conflict detection is to prevent interference between the crane boom / load and existing equipment. This includes spatial conflicts, temporal conflicts, and logical conflicts. Manually checking for these conflicts would be extremely time-consuming and prone to oversights. Therefore, spatiotemporal conflict detection can include the following steps:

[0121] Obtain the parameter information of each rigid crossbeam, the optimal installation scheme matching it, the parameters of each crane, and the coordinates of the construction site to obtain a task list with spatial attributes and a list of spatially exclusive task pairs.

[0122] For each task in the collaborative construction plan, an initial timeline is generated, and a preliminary start and end time is arranged for all tasks according to the logical constraints of the tasks to form an initial construction schedule. Then, using a list of spatially mutually exclusive task pairs, a conflict scan is performed on the initial construction schedule to obtain the initial construction schedule sequence diagram and a spatiotemporal conflict detection report.

[0123] In the initial construction plan sequence diagram, the tasks in the initial construction plan sequence diagram are optimized using a task list with spatial attributes to generate a collaborative construction plan.

[0124] It should be noted that, firstly, the physical elements and work plans of the construction site are transformed into a standard data model that can be recognized and processed by a computer, and the spatial conflict relationships between all tasks are determined in advance.

[0125] Input information sorting and standardization:

[0126] Rigid crossbeam parameters and installation scheme: Obtain the precise length, weight, center of gravity position of each rigid crossbeam, and determine the optimal installation scheme (such as "interlacing process" or "rotation process").

[0127] Crane parameters: Collect key performance parameters for each available crane, such as model, maximum rated lifting capacity, maximum working radius, and boom combination working condition table.

[0128] Construction site coordinates: Clearly define the center coordinates of the new line side foundation pit, the center coordinates of the existing line side foundation pit, and the planned crane station coordinates for each rigid crossbeam.

[0129] Construct a task list with spatial attributes, specifically including the following:

[0130] Task package creation: Create a separate task package for each rigid crossbeam replacement and code it accordingly. Each task package contains the following core properties:

[0131] Task ID: A unique identifier.

[0132] Required crane model: Specifies the type of crane that must be used to perform this task.

[0133] Operation duration: The pure operation time estimated based on the complexity of the process.

[0134] Crane planned position coordinates (X,Y,Z): The position of the crane outriggers.

[0135] Logical prerequisites: Clearly define which tasks must be completed before this task can begin (e.g., the new beam must be installed before the old beam can be removed).

[0136] Spatial envelope calculation: Based on crane parameters and station coordinates, a safe operating spatial envelope is calculated for each task. This envelope can be simplified into a three-dimensional region, representing the maximum spatial range that the crane boom and load may sweep through during operation. This is the geometric basis for determining spatial conflicts.

[0137] The list of mutually exclusive task pairs generated includes the following:

[0138] Conflict relationship prediction involves pairwise comparison of all task packages. Two tasks are marked as a "spatially mutually exclusive task pair" if and only if their spatial envelopes intersect. This generates a list clearly outlining all potentially spatially conflicting task combinations. This means that no pair of tasks in the list can be scheduled to execute simultaneously. This results in a list of tasks with spatial attributes and a list of spatially mutually exclusive task pairs. These two lists form the basis for subsequent automated conflict detection and intelligent optimization.

[0139] Next, a preliminary construction schedule will be developed. Generating the initial construction schedule:

[0140] Establish a timeline: Using the start time of the skylight point as the zero point, establish a timeline for the entire construction cycle.

[0141] Initial task arrangement: Based on the inherent logical constraints between tasks (i.e., the relationships between preceding tasks), a preliminary start and end time is assigned to all tasks on the timeline, thus forming an initial construction schedule. This plan is usually represented as a prototype of a Gantt chart.

[0142] A conflict scan is performed on the initial task arrangement, reading the initial construction schedule and a list of spatially mutually exclusive task pairs. The core task is to iterate through each spatially mutually exclusive task pair in the list, checking for any overlap in the execution time periods of these two tasks on the timeline. Conflict determination is then performed; once an overlap in the time periods of a mutually exclusive task pair is found, it is recorded as a spatiotemporal conflict point. This generates a spatiotemporal conflict detection report, which lists each detected conflict point, including: the conflicting task pair (Task IDA vs. Task IDB), the type of conflict (e.g., boom interference, load intrusion into the safety zone), the specific time period of the conflict, and the severity level of the conflict (which can be classified according to the magnitude of interference risk). This results in the initial construction schedule sequence diagram and the spatiotemporal conflict detection report. This report accurately identifies all the problems that need to be addressed in the initial plan.

[0143] Finally, guided by the conflict report, the task schedule was adjusted to generate an efficient and feasible final construction plan while resolving all conflicts. A strict constraint is that all task pairs listed in the "Spatial Mutually Exclusive Task Pairs List" must have completely staggered execution times in the final plan, with no overlap. Based on meeting these strict constraints, the optimization goal is to minimize the total project duration, i.e., to reduce the total time spent during skylight periods. The core of optimized execution and conflict resolution is to use time as a resource for resolving spatial conflicts. Adjusting the task start time can include:

[0144] Time offset: Delay one of the conflicting tasks by a certain amount of time until it is no longer running concurrently with the mutually exclusive task.

[0145] Interval insertion: Insert a reasonable time interval between two conflicting tasks to ensure that all equipment and personnel of the previous task have been evacuated before the equipment of the next task enters.

[0146] Parallelization check: During the adjustment process, actively look for spatially non-exclusive tasks and try to schedule them to be carried out in parallel within the same time period to improve overall efficiency.

[0147] Throughout the optimization process, the task list with spatial attributes (especially job duration and logical constraints) ensures that the adjusted plan is logically feasible; while spatially mutually exclusive tasks continuously verify whether the adjusted solution has truly eliminated conflicts.

[0148] After multiple rounds of iterative optimization, the system outputs the final collaborative construction plan. This plan is a conflict-free work instruction list, and it is usually accompanied by a visual Gantt chart and a construction layout plan, which intuitively show when, where, and what task each crane will perform.

[0149] During the execution of the collaborative construction plan, the S400 acquires data in real time that characterizes the progress of the work and the structural safety, and obtains real-time feedback data.

[0150] The feedback data represents progress data and monitoring data.

[0151] Specifically, obtaining real-time feedback data may include the following steps:

[0152] S401 acquires data representing the progress of the work in real time during the execution of the collaborative construction plan.

[0153] The work progress data refers to key milestones captured by construction workers or cameras.

[0154] Specifically, the on-site construction progress is converted into quantifiable digital information for comparison with the plan.

[0155] For example, based on the work process decomposed in the Collaborative Construction Plan, a series of key nodes are defined for each rigid beam replacement task. For example: crane positioning, completion of rigid beam ground assembly, start / completion of cable relocation, start / positioning of rigid beam hoisting, completion of bolt tightening, start / completion of old beam removal, etc.

[0156] The completion status of key milestones can be confirmed in two ways. First, manual reporting: Each work area supervisor is equipped with a mobile terminal (such as a mobile app or walkie-talkie). When a key milestone is completed, the supervisor reports the milestone completion status and timestamp with one click via the app, or broadcasts it via walkie-talkie, and relevant personnel record it. Second, fixed-point cameras are set up at key work sites for timed snapshots or video recordings. Image recognition technology automatically identifies specific states (such as the boom reaching a specific angle, the load leaving the ground, etc.) as an auxiliary means of progress verification. Cameras are deployed at key work sites to capture images and transmit them to the system. The system can use pre-deployed image recognition technology to identify the transmitted images, thereby determining the construction progress. This determination can serve as corroboration for manual reporting. It should be noted that a correspondence is established between camera IDs and specific key work sites (or rigid beam numbers). When a progress report is received from a key work site, real-time footage or the latest captured image from the associated camera can be retrieved for auxiliary verification, improving monitoring efficiency.

[0157] The received node information is integrated to form a timestamped progress data stream, i.e., work progress data.

[0158] S402 acquires data characterizing structural safety in real time during the execution of a collaborative construction plan.

[0159] The structural safety data refers to the data collected by the acquisition device.

[0160] Specifically, we will continuously monitor the impact of construction on the structural safety of existing lines to ensure that nothing goes wrong.

[0161] For example, before construction begins at the track maintenance window, settlement, displacement, and water level monitoring, already deployed in step S200, is initiated. During construction, monitoring continues, for instance, receiving and displaying readings from devices such as total stations, levels, and water level gauges in real time, converting them into rates of change, and comparing them in real time with preset warning and alarm values ​​in the safety status assessment report (from S203). This results in a real-time safety data stream that continuously reflects the settlement and displacement status of the existing track and subgrade, i.e., data on structural safety.

[0162] S403, match the work progress data and the structural safety data with the collaborative construction plan to obtain feedback data for the collaborative construction plan.

[0163] Specifically, the real-time progress data stream of S401 and the real-time safety data stream of S402 are associated with the Collaborative Construction Plan.

[0164] Establish a unified timeline dashboard that synchronously displays the planned task timeline, actual progress milestones, and real-time safety monitoring data.

[0165] Calculate the deviation between the actual start / end time and the planned time for each task. A progress warning is generated when the deviation exceeds a preset tolerance. For example, a tolerance of 15 minutes.

[0166] Analyze the correlation between construction activities (such as foundation pit excavation and hoisting operations) and sudden changes in safety data. For example, if a crane starts hoisting and the displacement data of a nearby track monitoring point suddenly accelerates, this correlation will be immediately marked and a safety risk warning will be generated.

[0167] Based on the above analysis, the system generates feedback data for the collaborative construction plan, which mainly includes:

[0168] Progress Status Table: Visually displays the progress of each task (e.g., on schedule, slightly delayed, seriously delayed).

[0169] Safety warning information: clearly indicates which monitoring point has abnormal data and the possible cause (related construction activities).

[0170] The above methods provide feedback data on the collaborative construction plan, which serves as a basis for on-site commanders to dynamically adjust the work rhythm, priority order, or take safety measures.

[0171] S500: Based on the feedback data, the subsequent construction plan is adjusted using a rolling time-domain optimization strategy and an expert rule base to generate decision instructions.

[0172] The expert rule base refers to the response strategies formed by experts based on construction problems.

[0173] Specifically, generating decision instructions may include the following steps:

[0174] S501, Extract the influencing parameters from the feedback data.

[0175] The influence parameter represents the magnitude of its impact on the collaborative construction plan.

[0176] Specifically, feedback data from S403 is received, which mainly contains two types of information: work progress data and structural safety data. Several parameters that significantly impact the overall plan are extracted from this data. Key variables requiring attention within the feedback data are identified. These variables can be divided into two categories: schedule impact parameters, such as critical path delay duration, non-critical path float time consumption rate, and resource idle time; and safety impact parameters, such as settlement rate exceeding limits, cumulative displacement, and the difference between these values ​​and safety thresholds.

[0177] Next, the parameters with different dimensions are normalized using an algorithm for comprehensive evaluation. For example, a "15-minute delay" is quantified as a "schedule impact coefficient = 0.75" (assuming a threshold of 1.0 for 20 minutes). This results in a set of standardized, quantified impact parameters. For example: {Schedule impact coefficient: 0.75, Safety risk level: High}. This set of parameters clearly characterizes the magnitude and nature of the current state's overall impact on the plan.

[0178] S502, based on the aforementioned influencing parameters, using a rolling time-domain optimization strategy and an expert rule base, the current time is taken as the starting point to adjust the subsequent construction plan and form a decision instruction.

[0179] Specifically, based on standardized and quantified impact parameters, starting from the "current time," the future construction process (as of the next 60 minutes) is modeled as a new optimization problem. The optimization objective is to minimize the total delay time or maximize resource utilization while satisfying safety constraints.

[0180] The rolling time-domain optimization strategy can quickly solve for multiple candidate adjustment schemes within a limited prediction time domain.

[0181] Option A: Activate the backup crane;

[0182] Option B: Borrow idle cranes from nearby work sites for support;

[0183] Option B: Adjust the order of non-critical tasks to make way for critical tasks.

[0184] The generated candidate solutions are immediately matched and validated against an expert rule base. This rule base encapsulates the experience of senior engineers, for example:

[0185] Rule: If the plan involves large equipment moving over long distances AND the remaining time at the window is less than 30 minutes, then the plan is deemed to have too low a cost-effectiveness ratio and will be rejected or downgraded.

[0186] Rule: If the safety risk level is "high", then the risk response plan should be implemented first, and related operations should be suspended.

[0187] The optimal solution that passes the verification will be transformed into one or more unambiguous structured instructions. In other words, through the above method, a set of decision instructions that can be executed immediately is obtained, such as: "Instruction 1: Crane C shall immediately move to work point B along path P2; Instruction 2: Team F shall remain in place and wait for further instructions."

[0188] Secondly, this application provides a group replacement system for the rigid crossbeams of the overhead contact system in multi-line parallel high-speed railways, applied to the aforementioned method for group replacement of rigid crossbeams in the overhead contact system of multi-line parallel high-speed railways, including:

[0189] The acquisition unit is used to calculate the parameter information of the rigid crossbeam based on the existing rigid crossbeam span, the design coordinates of the new line, and the high-speed railway span ratio specifications, using the relative positioning method and the vertical projection method. The parameter information of the rigid crossbeam includes the center coordinates of the foundation pit of the new line and the length data of the rigid crossbeam.

[0190] The data acquisition unit is used to collect geographical data within the construction area and use a time series model to predict the settlement trend and obtain a safety status assessment report. The geographical data includes at least settlement data, displacement data and water level data.

[0191] The optimization unit is used to select the optimal installation scheme from a preset installation process database based on the parameter information of the rigid crossbeam, the time limit of the skylight point and the crane resource list, the parameter information and safety status assessment report of each rigid crossbeam, and generate a collaborative construction plan based on the grouped replacement scheme of multiple rigid crossbeams.

[0192] The execution unit is used to acquire data representing the progress of the operation and structural safety in real time during the execution of the collaborative construction plan, and obtain real-time feedback data, wherein the feedback data represents progress data and monitoring data;

[0193] The result unit is used to adjust the subsequent construction plan based on the feedback data, using a rolling time-domain optimization strategy and an expert rule base, and to form a decision instruction. The expert rule base represents the response strategy formed by experts based on the construction problem.

[0194] Thirdly, this application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0195] Fourthly, this application provides a computer storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0196] Fifthly, this application provides a computer program that, when executed by a processor, implements the steps of the aforementioned method for grouping and replacing the rigid crossbeams of the multi-line parallel high-speed railway contact network.

[0197] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0198] Obviously, those skilled in the art should understand that the various units or steps of this application described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device, or fabricating them separately as individual integrated circuit modules, or fabricating multiple modules or steps into a single integrated circuit module. Thus, this application is not limited to any particular combination of hardware and software.

[0199] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for grouping and replacing rigid crossbeams of a multi-line parallel high-speed railway contact network, characterized in that the method... The method comprises the following steps: According to the existing hard beam span, new line design coordinates, high-speed railway span ratio specification, using relative positioning method and vertical projection method for calculation, the parameter information of the hard beam is obtained, wherein the hard beam parameter information includes new line foundation pit center coordinates and hard beam length data; Collecting geographic data within the construction range, and predicting the settlement trend using a time series model to obtain a safety state evaluation report, wherein the geographic data includes at least settlement data, displacement data and water level data; According to the parameter information of the hard beam, the time limit of the skylight point and the crane resource list, for the parameter information and safety state evaluation report of each hard beam, select the optimal installation scheme in the preset installation process database, and generate a collaborative construction plan according to the group replacement scheme of multiple hard beams; In the process of executing the collaborative construction plan, real-time data representing the progress of the work and the safety of the structure are obtained to obtain real-time feedback data, wherein the feedback data represents progress data and monitoring data; According to the feedback data, a rolling horizon optimization strategy and an expert rule base are used to adjust the subsequent construction scheme to form a decision instruction, wherein the expert rule base represents the coping strategies formed by experts according to construction problems; wherein The step of collecting geographic data within the construction range and predicting the settlement trend using a time series model to obtain a safety state evaluation report comprises: Using a collection device, collect geographic data of monitoring points within the construction range according to a preset time point to obtain time series geographic data stream; Input the time series geographic data stream into the trained time series model to obtain the settlement and displacement change trend of the monitoring points in the future period of time; Compare the current measured value of each monitoring point with the preset safety threshold of the monitoring point according to the settlement and displacement change trend, and generate a safety state evaluation report according to the comparison result; The step of selecting the optimal installation scheme in the preset installation process database according to the parameter information of each hard beam and the safety state evaluation report, and generating a collaborative construction plan according to the group replacement scheme of multiple hard beams, comprises: According to the parameter information of each hard beam and the corresponding safety state in the safety state evaluation report, match with the rules in the process database to obtain the optimal installation scheme with the highest matching degree; According to the optimal installation scheme and the crane resource list, perform resource allocation by taking the time limit of the skylight point as a constraint condition to obtain the work scheme of each hard beam; Perform conflict detection and collaborative optimization on the work scheme of each hard beam to generate a collaborative construction plan.

2. The method for group replacement of hard crossbeams of multi-wire parallel overhead contact system for high-speed railways according to claim 1, characterized in that, The step of calculating the parameter information of the hard beam according to the existing hard beam span, new line design coordinates, high-speed railway span ratio specification, using relative positioning method and vertical projection method, comprises: Adopting relative positioning method, taking the side column of the existing hard crossbeam as the reference point, along the line direction, combining the span ratio specification of high-speed railway and the design coordinate of the new line, the theoretical position of the foundation pit on the new line side is calculated, and the center coordinate of the foundation pit on the new line side is obtained; Adopting vertical projection method, the laser beam is vertically projected to the track center line near the existing foundation pit position on the existing line, and the center point of the foundation pit is calibrated at the laser vertical track position on the existing line according to the optical projection principle, so as to obtain the center coordinate of the foundation pit on the existing line side; According to the center coordinate of the foundation pit on the new line side and the center coordinate of the foundation pit on the existing line side, the accurate length data of the hard crossbeam is obtained.

3. The method for group replacement of hard crossbeams of multi-wire parallel overhead contact system for high-speed railways according to claim 1, characterized in that, In the process of executing the collaborative construction plan, data representing work progress and structure safety are acquired in real time to obtain real-time feedback data, including: In the process of executing the collaborative construction plan, data representing work progress are acquired in real time, wherein the data representing work progress represent key node data captured by workers or cameras during construction; In the process of executing the collaborative construction plan, data representing structure safety are acquired in real time, wherein the data representing structure safety represent data collected by collection devices; The data representing work progress and the data representing structure safety are matched with the collaborative construction plan to obtain feedback data of the collaborative construction plan.

4. The method for group replacement of hard crossbeams of multi-wire parallel overhead contact system for high-speed railways according to claim 1, characterized in that, According to the feedback data, a rolling horizon optimization strategy and an expert rule base are used to adjust subsequent construction schemes to form decision instructions, including: Influence parameters in the feedback data are extracted, wherein the influence parameters represent the influence size on the collaborative construction plan; According to the influence parameters, a rolling horizon optimization strategy and an expert rule base are used to adjust subsequent construction schemes with the current time as the starting point to form decision instructions.

5. A multi-line parallel high-speed railway catenary hard crossbeam group replacement system, characterized in that, The method for group replacement of hard crossbeams of a multi-line parallel high-speed railway catenary according to any one of claims 1-4, comprising: An acquisition unit is configured to calculate, according to the span of an existing hard crossbeam, the design coordinate of a new line, and the span ratio specification of a high-speed railway, using a relative positioning method and a vertical projection method, to obtain parameter information of the hard crossbeam, wherein the parameter information of the hard crossbeam includes the center coordinate of a foundation pit on a new line and length data of the hard crossbeam; A collection unit is configured to collect geographical data within a construction range and predict a settlement trend using a time series model to obtain a safety state evaluation report, wherein the geographical data at least includes settlement data, displacement data, and water level data; An optimization unit is configured to select an optimal installation scheme in a preset installation process database according to the parameter information of each hard crossbeam, a time window, and a list of crane resources, and generate a collaborative construction plan according to group replacement schemes of multiple hard crossbeams; An execution unit is configured to acquire, in real time, data representing work progress and structure safety in the process of executing the collaborative construction plan to obtain real-time feedback data, wherein the feedback data represent progress data and monitoring data. A result unit is configured to adjust a subsequent construction scheme according to the feedback data by using a rolling horizon optimization strategy and an expert rule base, and form a decision instruction, wherein the expert rule base represents a coping strategy formed by an expert according to a construction problem. 6.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-5 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the multi-line parallel high-speed railway overhead line system hard cross beam group replacement method of any one of claims 1 to 4.

7. A computer storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps of the multi-line parallel high-speed railway overhead line system hard cross beam group replacement method of any one of claims 1 to 4.

8. A computer program, characterized in that, The computer program is executed by the processor to implement the steps of the multi-line parallel high-speed railway overhead line system hard cross beam group replacement method of any one of claims 1 to 4. The computer program is executed by the processor to implement the steps of the multi-line parallel high-speed railway overhead line system hard cross beam group replacement method of any one of claims 1 to 4.

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