A construction progress management method and system for highway maintenance

Abstract

The application relates to the technical field of construction progress management, and particularly discloses a construction progress management method and system for highway maintenance, which comprises the following steps: generating a road condition health index atlas by collecting road condition data, dividing a maintenance priority area, and determining a maintenance demand list; splitting the maintenance demand into standard maintenance units and organizing the standard maintenance units into a maintenance work group to generate an initial maintenance construction plan containing a resource allocation scheme and a progress time node; collecting real-time construction and environmental data to form a progress quality linkage monitoring report; comparing the monitoring report with the initial plan, identifying progress deviation, and generating a multi-scenario adjustment scheme library; and selecting an optimal scheme through a comprehensive optimization algorithm to dynamically update the construction plan. The application realizes the identification of maintenance demand, the allocation of maintenance resources, the linkage monitoring of progress quality, and the intelligent optimization of construction schemes, and improves the fine management level and resource utilization efficiency of highway maintenance construction.

Description

Technical Field

[0001] This invention relates to the field of construction progress management technology, and in particular to a construction progress management method and system for highway maintenance. Background Technology

[0002] With the continuous expansion of my country's highway network and the sustained increase in its service life, the importance of highway maintenance is becoming increasingly prominent. Highway maintenance is a key measure to ensure road safety and smooth traffic flow and extend its service life. Its construction progress management directly affects the efficiency and quality of maintenance work, and is of great significance for improving the utilization rate of maintenance resources and reducing traffic disruption.

[0003] Currently, highway maintenance construction progress management mainly adopts the traditional plan-do-check model. Construction units formulate preliminary construction plans based on maintenance needs, and monitor construction progress and quality through manual inspections and periodic testing during implementation. While some regions have introduced information technology to assist progress management, overall, the existing highway maintenance construction progress management still faces the following major problems: First, traditional highway maintenance construction progress management methods lack a precise quantitative assessment system for road conditions, relying heavily on manual experience to judge the degree of pavement damage. This fails to generate intuitive road health index maps, leading to unscientific maintenance prioritization, unreasonable allocation of maintenance resources, and even under- or over-maintenance. Second, conventional maintenance planning methods are crude, lacking a standardized maintenance unit system and failing to consider the spatial concentration and technological interrelationships of maintenance operations. This prevents the formation of efficient maintenance operation organization methods, resulting in frequent site transfers and low resource utilization. Furthermore, on-site construction monitoring methods are limited, lacking multi-source data acquisition systems and a progress-quality linkage monitoring mechanism. This makes it difficult to capture construction status and quality fluctuations in real time, hindering timely problem detection and intervention. Finally, progress deviation identification lacks scientific quantitative standards and systematic methods, and a multi-scenario adjustment plan library for different deviation situations has not been established. This results in progress adjustments relying heavily on experience-based judgment, with limited and ineffective adjustment plans. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide a construction progress management method and system for highway maintenance, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a construction progress management method for highway maintenance, comprising the following steps: S1: determining a list of highway maintenance needs; S2: generating an initial maintenance construction plan; S3: generating a progress quality monitoring report; S4: generating a multi-scenario adjustment scheme library; and S5: executing construction progress management instructions.

[0006] S1: Determine the list of highway maintenance needs: Collect road condition data of the target highway and perform intelligent analysis to generate a road condition health index map. Based on the road condition health index map, divide the highway maintenance priority areas and determine the list of highway maintenance needs. S2: Generate initial maintenance construction plan: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. S3: Generate a progress and quality monitoring report: During the maintenance and construction process, collect real-time construction data and environmental impact factor data, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. S4: Generate a multi-scenario adjustment solution library: Compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan to identify progress deviations and potential risks, and generate a multi-scenario adjustment solution library; S5: Execute construction progress management instructions: Through a comprehensive optimization algorithm, select the optimal adjustment scheme from the multi-scenario adjustment scheme library, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

[0007] Preferably, the steps for determining the highway maintenance needs list are as follows: S11: Deploy multi-source data acquisition equipment to perform an all-round scan of the target highway, acquire road surface data, internal structure data and dynamic response data, and form the original road condition dataset of the target highway. The acquisition equipment includes vehicle-mounted laser scanner, ground-penetrating radar and high-definition road surface image acquisition device. S12: Clean and fuse the original road condition dataset of the target highway, apply DeepLabv3+ semantic segmentation network to identify road surface defects, determine the type, location, area and severity of various defects, and generate standardized road condition assessment data; S13: Based on standardized road condition assessment data and combined with highway technical grade and service life parameters, calculate the road health index value HI. After obtaining the road health index value, construct a road condition health index map that includes spatial distribution and temporal evolution. S14: Based on the road health index map, combined with traffic flow data and regional climate characteristics, the decision tree algorithm is applied to divide the target highway into three types of maintenance priority areas: emergency maintenance area, planned maintenance area and monitoring maintenance area, and the maintenance time window for each area is determined. S15: For areas with different maintenance priorities, based on the maintenance technology standard library, automatically match applicable maintenance processes and material solutions to generate a list of highway maintenance requirements that includes maintenance type, scope, process parameters and material requirements.

[0008] Preferably, the steps for generating the initial maintenance construction plan are as follows: S21: The maintenance work in the highway maintenance demand list is divided into standard maintenance units. Each standard maintenance unit corresponds to a specific road surface and a specific maintenance process. A standard maintenance unit resource demand dataset is established based on historical maintenance data. The standard maintenance unit resource demand dataset includes the number of personnel, equipment type, material usage and standard construction period required for each maintenance unit. S22: Based on the regional distribution of maintenance priority of the target highway, standard maintenance units are combined according to the principle of regional concentration to form maintenance work groups. The overall resource requirements and basic construction period of each maintenance work group are obtained, and a maintenance work group sequence list is generated. S23: Based on the maintenance work group sequence list, analyze the spatial adjacency and process dependency relationships between each maintenance work group, establish a maintenance work group connection network, determine the execution order and parallel possibility of the maintenance work groups, and generate a maintenance work group scheduling scheme. S24: Based on the maintenance work group scheduling plan and combined with the total available resources constraint, assign specific start and end times to each maintenance work group, determine the allocation plan for various resources, and form an initial maintenance construction plan that includes resource allocation schemes and schedule time nodes.

[0009] Preferably, the steps for generating the progress quality monitoring report are as follows: S31: Deploy a data acquisition system at the maintenance construction site to collect real-time data on construction operation location, construction process image data, material quality parameters and construction environment data, forming the original monitoring dataset for maintenance construction. S32: Perform spatiotemporal calibration and data filtering on the original monitoring dataset of maintenance construction, remove outliers and redundant information, and integrate data from different sources according to timestamps and geographical locations to generate a structured construction monitoring dataset containing construction progress information and quality information. S33: Based on the structured construction monitoring dataset, the actual workload of each maintenance work group is statistically analyzed, including the completed maintenance area or length, as well as the material usage and equipment working time. At the same time, the material parameters and construction process of the completed road sections are tested and evaluated according to the maintenance technical specifications, and the actual construction progress table and quality inspection data table are generated. S34: Conduct correlation analysis between the actual construction schedule and quality inspection data and environmental monitoring data, record changes in environmental conditions and construction operation status during construction, and integrate them to form a maintenance construction progress and quality linkage monitoring report that includes actual progress data, quality inspection results and environmental impact records.

[0010] Preferably, the steps for generating the multi-scenario adjustment scheme library are as follows: S41: Compare the actual construction progress table in the maintenance construction progress quality linkage monitoring report with the progress time nodes in the initial maintenance construction plan, calculate the progress deviation rate of each maintenance work group, and compare the progress deviation rate with the preset progress deviation threshold. When the progress deviation rate exceeds the preset threshold, it is determined that there is a deviation in the progress and it needs to be adjusted, thus forming a progress deviation identification result table. S42: Based on the schedule deviation identification result table, combined with the quality inspection results and environmental impact records in the maintenance construction schedule quality linkage monitoring report, analyze the types of causes of schedule deviation, assess the degree of impact of each type of cause, and generate a schedule deviation cause analysis table; S43: For the different types of causes identified in the schedule deviation cause analysis table, formulate corresponding adjustment strategies, design specific adjustment measures under each strategy, evaluate the feasibility and effectiveness of each adjustment measure, and generate a set of maintenance construction adjustment measures; S44: Based on the set of maintenance and construction adjustment measures, adjustment schemes are designed for different scenarios to address different degrees of schedule deviation. Each scheme clearly specifies the resource adjustment method, schedule correction target and quality assurance measures, forming a multi-scenario adjustment scheme library that can cope with different degrees of schedule deviation.

[0011] Preferably, the execution steps for the construction progress management instruction are as follows: S51: Establish a multi-objective evaluation system that includes time efficiency, resource cost and quality assurance, apply a comprehensive optimization algorithm to evaluate each scheme in the multi-scenario adjustment scheme library, calculate the comprehensive optimization score of each scheme, and select the scheme with the highest comprehensive optimization score as the optimal adjustment scheme; S52: Based on the optimal adjustment scheme, dynamically update the initial maintenance construction plan, adjust the work sequence and resource allocation of the maintenance work group, correct the schedule time nodes, and generate an updated maintenance construction plan; S53: Transform the updated maintenance and construction plan into specific execution instructions, including instructions for reallocating construction resources and instructions for adjusting the schedule, to form directly executable construction schedule management instructions.

[0012] To achieve the above objectives, the present invention provides the following technical solution: a construction progress management system for highway maintenance, comprising implementing the above-mentioned construction progress management method for highway maintenance, including: Highway maintenance demand list determination module: used to collect road condition data of target highways and perform intelligent analysis, generate road condition health index map, divide highway maintenance priority areas based on road condition health index map, and determine highway maintenance demand list. Initial maintenance construction plan generation module: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. Progress and quality monitoring report generation module: used to collect real-time construction data and environmental impact factor data during the maintenance and construction process, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. Multi-scenario adjustment scheme library generation module: used to compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan, identify progress deviations and potential risks, and generate a multi-scenario adjustment scheme library; Construction progress management instruction execution module: It is used to select the optimal adjustment scheme from the multi-scenario adjustment scheme library through a comprehensive optimization algorithm, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

[0013] As described above, the construction progress management method and system for highway maintenance provided by the present invention has at least the following beneficial effects: This invention provides a method and system for construction progress management in highway maintenance. It generates a road condition health index map by collecting road condition data, delineates maintenance priority areas, and determines a maintenance demand list. Maintenance demands are broken down into standard maintenance units and organized into maintenance work groups, establishing a work group linkage network to generate an initial maintenance construction plan. Real-time construction data and environmental impact factor data are collected to calculate actual construction progress and quality indicators, generating a progress-quality linkage monitoring report. The monitoring report is compared and analyzed with the initial plan to identify progress deviations and potential risks, generating a multi-scenario adjustment scheme library. A comprehensive optimization algorithm selects the optimal adjustment scheme, dynamically updates the construction plan, and generates resource reallocation instructions and progress adjustment instructions. This invention achieves accurate identification of maintenance demands through the road condition health index map; improves resource utilization efficiency by adopting standard maintenance units and work group organization; establishes a progress-quality linkage monitoring mechanism to achieve full-process control of construction; and ensures the scientific nature and effectiveness of construction progress adjustments through the multi-scenario adjustment scheme library and comprehensive optimization algorithm, significantly improving the level of refined management and resource utilization efficiency in highway maintenance construction. Attached Figure Description

[0014] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0015] Figure 1 This is a flowchart illustrating a construction progress management method for highway maintenance according to the present invention.

[0016] Figure 2 This is a schematic diagram of a construction progress management system for highway maintenance according to the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1 Please see Figure 1 As shown, the present invention provides a construction progress management method for highway maintenance, comprising the following steps: S1: determining a list of highway maintenance needs; S2: generating an initial maintenance construction plan; S3: generating a progress quality monitoring report; S4: generating a multi-scenario adjustment scheme library; and S5: executing construction progress management instructions.

[0019] S1: Determine the list of highway maintenance needs: Collect road condition data of the target highway and perform intelligent analysis to generate a road condition health index map. Based on the road condition health index map, divide the highway maintenance priority areas and determine the list of highway maintenance needs. In this embodiment, it should be specifically explained that the execution steps for determining the highway maintenance demand list are as follows: S11: Deploy multi-source data acquisition equipment to perform an all-round scan of the target highway, acquire road surface data, internal structure data and dynamic response data, and form the original road condition dataset of the target highway. The acquisition equipment includes vehicle-mounted laser scanner, ground-penetrating radar and high-definition road surface image acquisition device. It should be specifically noted that the pavement appearance data includes the length, width, and distribution characteristics of surface cracks, rut depth and distribution range, number, size, and depth of potholes, pavement smoothness index, surface texture depth and friction coefficient, and the range of loose and spalling areas; internal structure data includes the thickness distribution of each structural layer, the bonding condition of the structural layer interfaces, the distribution of internal voids and moisture content, the compaction of the base course and subbase course, the uniformity of the asphalt mixture, and the elastic modulus of the structural layers; dynamic response data includes the pavement deflection value under vehicle load, structural vibration characteristic parameters, stress-strain response curves, load diffusion angle, load transfer efficiency, and temperature response characteristics.

[0020] S12: Clean and fuse the original road condition dataset of the target highway, apply DeepLabv3+ semantic segmentation network to identify road surface defects, determine the type, location, area and severity of various defects, and generate standardized road condition assessment data; The road surface defects include, but are not limited to, cracks, ruts, potholes, loosening, and settlement.

[0021] S13: Based on standardized road condition assessment data and combined with highway technical grade and service life parameters, calculate the road health index value HI. After obtaining the road health index value, construct a road condition health index map that includes spatial distribution and temporal evolution. It should be noted that the formula for calculating the health index value HI of the highway is as follows: ,in, HI This indicates the health index value of the highway. D Indicates the overall damage degree of road surface defects. A Indicates the actual service life of the highway. L Indicates the design service life of the highway. R This represents the technical grade coefficient of a highway, determined according to the highway grade classification standards. These represent the weighting coefficients for the comprehensive damage degree of pavement distress, the actual service life of the highway, and the highway technical grade coefficient, respectively. .

[0022] It should be specifically explained that the method for obtaining the comprehensive damage degree of pavement distress is as follows: First, the identified distresses are classified and assessed according to the "Highway Technical Condition Assessment Standard". For crack distresses, their density and severity are assessed; for rutting distresses, their depth and distribution range are assessed; for pothole distresses, their quantity, area and depth are assessed; for loose distresses, their area proportion is assessed; and for settlement distresses, their depth and range are assessed. Then, based on the degree of impact of each distress on the road's service performance and structural stability, the weighting coefficients of each distress are determined. Finally, through a weighted comprehensive assessment method, the individual assessment results of each distress are combined to obtain the comprehensive damage degree of pavement distress, which reflects the overall damage status of the pavement.

[0023] S14: Based on the road health index map, combined with traffic flow data and regional climate characteristics, the decision tree algorithm is applied to divide the target highway into three types of maintenance priority areas: emergency maintenance area, planned maintenance area and monitoring maintenance area, and the maintenance time window for each area is determined. S15: For areas with different maintenance priorities, based on the maintenance technology standard library, automatically match applicable maintenance processes and material solutions to generate a list of highway maintenance requirements that includes maintenance type, scope, process parameters and material requirements.

[0024] It should be noted that the decision tree algorithm is a publicly available technology, and will not be described further in this application.

[0025] S2: Generate initial maintenance construction plan: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. In this embodiment, it should be specifically explained that the execution steps for generating the initial maintenance construction plan are as follows: S21: The maintenance work in the highway maintenance demand list is divided into standard maintenance units. Each standard maintenance unit corresponds to a specific road surface and a specific maintenance process. A standard maintenance unit resource demand dataset is established based on historical maintenance data. The standard maintenance unit resource demand dataset includes the number of personnel, equipment type, material usage and standard construction period required for each maintenance unit. S22: Based on the regional distribution of maintenance priority of the target highway, standard maintenance units are combined according to the principle of regional concentration to form maintenance work groups. The overall resource requirements and basic construction period of each maintenance work group are obtained, and a maintenance work group sequence list is generated. S23: Based on the maintenance work group sequence list, analyze the spatial adjacency and process dependency relationships between each maintenance work group, establish a maintenance work group connection network, determine the execution order and parallel possibility of the maintenance work groups, and generate a maintenance work group scheduling scheme. S24: Based on the maintenance work group scheduling plan and combined with the total available resources constraint, assign specific start and end times to each maintenance work group, determine the allocation plan for various resources, and form an initial maintenance construction plan that includes resource allocation schemes and schedule time nodes.

[0026] In this embodiment, it should be specifically noted that before executing the step of generating the initial maintenance construction plan, the total available resource constraint information provided by the maintenance unit is first obtained, including the total number of personnel that can be allocated, the number of various maintenance equipment, and the total amount of materials that can be supplied, forming a set of resource constraint conditions, which serve as the boundary conditions for the subsequent maintenance construction plan.

[0027] It should be specifically noted that the aforementioned regional concentration principle refers to grouping standard maintenance units that are spatially adjacent and have the same or similar maintenance priorities into the same maintenance work group, in order to reduce the frequency of equipment relocation and improve resource utilization efficiency. The specific implementation process is as follows: First, the highway is divided into zones based on maintenance priority and spatial continuity. Within each zone, the spatial distribution and adjacency relationships of standard maintenance units are determined using a geographic information system. Then, minimum and maximum maintenance operation length thresholds are set to ensure that each maintenance operation group is neither too short, leading to frequent relocations, nor too large, making completion within the stipulated time. For each established maintenance operation group, the resource requirements of all its constituent standard maintenance units are summed, including personnel, equipment, and materials. The impact of economies of scale on resource efficiency is considered, and the total actual resource requirement is adjusted accordingly. Finally, based on the total workload and resource input intensity of the maintenance operation group, and considering the completion status of similar historical operation groups, the basic duration for each maintenance operation group is calculated, generating a maintenance operation group sequence list containing the operation group number, location range, priority level, detailed resource requirements, and basic duration.

[0028] It should be specifically noted that the establishment process of the maintenance work group connection network considers two key factors: spatial adjacency and technological dependency. Spatial adjacency refers to the physical connection between maintenance work groups on adjacent road sections, while technological dependency refers to the required sequence of different maintenance processes. The specific execution process is as follows: First, based on the positional information in the maintenance work group sequence list, a spatial adjacency matrix of maintenance work groups is established to identify which work groups are spatially adjacent. Second, the process types involved in each maintenance work group are analyzed, and the dependencies between processes are determined according to the maintenance technical specifications; for example, base course treatment must precede surface course paving. Then, considering both spatial adjacency and process dependencies, a precedence relationship network between maintenance work groups is constructed to clarify which work groups must be completed before other work groups and which work groups can be executed in parallel. For work groups that can be executed in parallel, the degree of overlap in their resource requirements is assessed to determine whether resource competition exists. Finally, based on the work group priorities, precedence relationships, and resource competition, the execution order of the maintenance work groups is determined, and the set of work groups that can be executed in parallel is identified, forming a maintenance work group scheduling scheme. This scheme includes the execution order of the work groups, parallel grouping, expected start time range, and key connection points.

[0029] S3: Generate a progress and quality monitoring report: During the maintenance and construction process, collect real-time construction data and environmental impact factor data, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. In this embodiment, it should be specifically explained that the execution steps for generating the progress quality monitoring report are as follows: S31: A data acquisition system is deployed at the maintenance construction site to collect real-time data on construction operation location, construction process image data, material quality parameters, and construction environment data, forming an original monitoring dataset for maintenance construction. The data acquisition system includes mobile positioning terminals carried by construction personnel, fixed camera devices in the construction area, road material testing equipment, and environmental monitoring stations. S32: Perform spatiotemporal calibration and data filtering on the original monitoring dataset of maintenance construction, remove outliers and redundant information, and integrate data from different sources according to timestamps and geographical locations to generate a structured construction monitoring dataset containing construction progress information and quality information. S33: Based on the structured construction monitoring dataset, the actual workload of each maintenance work group is statistically analyzed, including the completed maintenance area or length, as well as the material usage and equipment working time. At the same time, the material parameters and construction process of the completed road sections are tested and evaluated according to the maintenance technical specifications, and the actual construction progress table and quality inspection data table are generated. S34: Conduct correlation analysis between the actual construction schedule and quality inspection data and environmental monitoring data, record changes in environmental conditions and construction operation status during construction, and integrate them to form a maintenance construction progress and quality linkage monitoring report that includes actual progress data, quality inspection results and environmental impact records.

[0030] S4: Generate a multi-scenario adjustment solution library: Compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan to identify progress deviations and potential risks, and generate a multi-scenario adjustment solution library; In this embodiment, it should be specifically explained that the execution steps for generating the multi-scenario adjustment scheme library are as follows: S41: Compare the actual construction progress table in the maintenance construction progress quality linkage monitoring report with the progress time nodes in the initial maintenance construction plan, calculate the progress deviation rate of each maintenance work group, and compare the progress deviation rate with the preset progress deviation threshold. When the progress deviation rate exceeds the preset threshold, it is determined that there is a deviation in the progress and it needs to be adjusted, thus forming a progress deviation identification result table. S42: Based on the schedule deviation identification result table, combined with the quality inspection results and environmental impact records in the maintenance construction schedule quality linkage monitoring report, analyze the types of causes of schedule deviation, assess the degree of impact of each type of cause, and generate a schedule deviation cause analysis table; The types of causes leading to schedule deviations include, but are not limited to, insufficient resources, improper process execution, environmental impacts, and traffic disruptions.

[0031] S43: For the different types of causes identified in the schedule deviation cause analysis table, formulate corresponding adjustment strategies, design specific adjustment measures under each strategy, evaluate the feasibility and effectiveness of each adjustment measure, and generate a set of maintenance construction adjustment measures. The adjustment strategies include resource allocation strategies, process optimization strategies, environmental response strategies, and traffic organization strategies. S44: Based on the set of maintenance and construction adjustment measures, design adjustment schemes for different scenarios for different degrees of schedule deviation, including minor deviation adjustment schemes, moderate deviation adjustment schemes and severe deviation adjustment schemes. Each scheme clearly specifies the resource adjustment method, schedule correction target and quality assurance measures, forming a multi-scenario adjustment scheme library that can cope with different degrees of schedule deviation.

[0032] It should be specifically explained that the calculation logic for the progress deviation rate of each maintenance work group is as follows: First, based on the initial maintenance construction plan, determine the planned workload that each maintenance work group should complete up to the current assessment time, including the maintenance area or length to be completed; second, based on the actual construction progress table in the maintenance construction progress and quality linkage monitoring report, obtain the actual workload completed by each maintenance work group; then, calculate the difference between the actual completed workload and the planned workload for each maintenance work group; finally, divide the difference by the planned workload and multiply by 100% to obtain the progress deviation rate of the maintenance work group.

[0033] S5: Execute construction progress management instructions: Through a comprehensive optimization algorithm, select the optimal adjustment scheme from the multi-scenario adjustment scheme library, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

[0034] In this embodiment, it should be specifically explained that the execution steps of the construction progress management instruction are as follows: S51: Establish a multi-objective evaluation system that includes time efficiency, resource cost and quality assurance, apply a comprehensive optimization algorithm to evaluate each scheme in the multi-scenario adjustment scheme library, calculate the comprehensive optimization score of each scheme, and select the scheme with the highest comprehensive optimization score as the optimal adjustment scheme; The comprehensive optimization algorithm is a multi-objective optimization algorithm in the prior art, which comprehensively considers the balance of three dimensions: schedule correction effect, resource utilization efficiency and quality risk control. S52: Based on the optimal adjustment scheme, the initial maintenance construction plan is dynamically updated, the work sequence and resource allocation of the maintenance work group are adjusted, the schedule time nodes are corrected, and an updated maintenance construction plan is generated; the updated maintenance construction plan includes the adjusted execution sequence of the maintenance work group, the corrected schedule time nodes, and the optimized resource allocation scheme. S53: Transform the updated maintenance and construction plan into specific execution instructions, including construction resource reallocation instructions and schedule adjustment instructions. The construction resource reallocation instructions clearly specify the quantity, time and location of various resources to be transferred in or out, and the schedule adjustment instructions clearly specify the extent of time compression or extension for each maintenance work group and the requirements for changing the work sequence, thus forming directly executable construction schedule management instructions.

[0035] Example 2 Please see Figure 2 As shown, the present invention provides a construction progress management system for highway maintenance, including a highway maintenance demand list determination module, an initial maintenance construction plan generation module, a progress quality monitoring report generation module, a multi-scenario adjustment scheme library generation module, and a construction progress management instruction execution module.

[0036] Highway maintenance demand list determination module: used to collect road condition data of target highways and perform intelligent analysis, generate road condition health index map, divide highway maintenance priority areas based on road condition health index map, and determine highway maintenance demand list. Initial maintenance construction plan generation module: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. Progress and quality monitoring report generation module: used to collect real-time construction data and environmental impact factor data during the maintenance and construction process, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. Multi-scenario adjustment scheme library generation module: used to compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan, identify progress deviations and potential risks, and generate a multi-scenario adjustment scheme library; Construction progress management instruction execution module: It is used to select the optimal adjustment scheme from the multi-scenario adjustment scheme library through a comprehensive optimization algorithm, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

[0037] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0038] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A construction progress management method for highway maintenance, characterized in that, Includes the following steps: S1: Determine the list of highway maintenance needs: Collect road condition data of the target highway and perform intelligent analysis to generate a road condition health index map. Based on the road condition health index map, divide the highway maintenance priority areas and determine the list of highway maintenance needs. S2: Generate initial maintenance construction plan: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. S3: Generate a progress and quality monitoring report: During the maintenance and construction process, collect real-time construction data and environmental impact factor data, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. S4: Generate a multi-scenario adjustment solution library: Compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan to identify progress deviations and potential risks, and generate a multi-scenario adjustment solution library; S5: Execute construction progress management instructions: Through a comprehensive optimization algorithm, select the optimal adjustment scheme from the multi-scenario adjustment scheme library, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

2. The construction progress management method for highway maintenance according to claim 1, characterized in that: The steps for determining the list of highway maintenance needs are as follows: S11: Deploy multi-source data acquisition equipment to perform an all-round scan of the target highway, acquire road surface data, internal structure data and dynamic response data, and form the original road condition dataset of the target highway. The acquisition equipment includes vehicle-mounted laser scanner, ground-penetrating radar and high-definition road surface image acquisition device. S12: Clean and fuse the original road condition dataset of the target highway, apply DeepLabv3+ semantic segmentation network to identify road surface defects, determine the type, location, area and severity of various defects, and generate standardized road condition assessment data; S13: Based on standardized road condition assessment data and combined with highway technical grade and service life parameters, calculate the road health index value HI. After obtaining the road health index value, construct a road condition health index map that includes spatial distribution and temporal evolution. S14: Based on the road health index map, combined with traffic flow data and regional climate characteristics, the decision tree algorithm is applied to divide the target highway into three types of maintenance priority areas: emergency maintenance area, planned maintenance area and monitoring maintenance area, and the maintenance time window for each area is determined. S15: For areas with different maintenance priorities, based on the maintenance technology standard library, automatically match applicable maintenance processes and material solutions to generate a list of highway maintenance requirements that includes maintenance type, scope, process parameters and material requirements.

3. The construction progress management method for highway maintenance according to claim 1, characterized in that: The steps for generating the initial maintenance construction plan are as follows: S21: The maintenance work in the highway maintenance demand list is divided into standard maintenance units. Each standard maintenance unit corresponds to a specific road surface and a specific maintenance process. A standard maintenance unit resource demand dataset is established based on historical maintenance data. The standard maintenance unit resource demand dataset includes the number of personnel, equipment type, material usage and standard construction period required for each maintenance unit. S22: Based on the regional distribution of maintenance priority of the target highway, standard maintenance units are combined according to the principle of regional concentration to form maintenance work groups. The overall resource requirements and basic construction period of each maintenance work group are obtained, and a maintenance work group sequence list is generated. S23: Based on the maintenance work group sequence list, analyze the spatial adjacency and process dependency relationships between each maintenance work group, establish a maintenance work group connection network, determine the execution order and parallel possibility of the maintenance work groups, and generate a maintenance work group scheduling scheme. S24: Based on the maintenance work group scheduling plan and combined with the total available resources constraint, assign specific start and end times to each maintenance work group, determine the allocation plan for various resources, and form an initial maintenance construction plan that includes resource allocation schemes and schedule time nodes.

4. The construction progress management method for highway maintenance according to claim 1, characterized in that: The steps for generating the progress quality monitoring report are as follows: S31: Deploy a data acquisition system at the maintenance construction site to collect real-time data on construction operation location, construction process image data, material quality parameters and construction environment data, forming the original monitoring dataset for maintenance construction. S32: Perform spatiotemporal calibration and data filtering on the original monitoring dataset of maintenance construction, remove outliers and redundant information, and integrate data from different sources according to timestamps and geographical locations to generate a structured construction monitoring dataset containing construction progress information and quality information. S33: Based on the structured construction monitoring dataset, the actual workload of each maintenance work group is statistically analyzed, including the completed maintenance area or length, as well as the material usage and equipment working time. At the same time, the material parameters and construction process of the completed road sections are tested and evaluated according to the maintenance technical specifications, and the actual construction progress table and quality inspection data table are generated. S34: Conduct correlation analysis between the actual construction schedule and quality inspection data and environmental monitoring data, record changes in environmental conditions and construction operation status during construction, and integrate them to form a maintenance construction progress and quality linkage monitoring report that includes actual progress data, quality inspection results and environmental impact records.

5. The construction progress management method for highway maintenance according to claim 1, characterized in that: The steps for generating the multi-scenario adjustment scheme library are as follows: S41: Compare the actual construction progress table in the maintenance construction progress quality linkage monitoring report with the progress time nodes in the initial maintenance construction plan, calculate the progress deviation rate of each maintenance work group, and compare the progress deviation rate with the preset progress deviation threshold. When the progress deviation rate exceeds the preset threshold, it is determined that there is a deviation in the progress and it needs to be adjusted, thus forming a progress deviation identification result table. S42: Based on the schedule deviation identification result table, combined with the quality inspection results and environmental impact records in the maintenance construction schedule quality linkage monitoring report, analyze the types of causes of schedule deviation, assess the degree of impact of each type of cause, and generate a schedule deviation cause analysis table; S43: For the different types of causes identified in the schedule deviation cause analysis table, formulate corresponding adjustment strategies, design specific adjustment measures under each strategy, evaluate the feasibility and effectiveness of each adjustment measure, and generate a set of maintenance construction adjustment measures; S44: Based on the set of maintenance and construction adjustment measures, adjustment schemes are designed for different scenarios to address different degrees of schedule deviation. Each scheme clearly specifies the resource adjustment method, schedule correction target and quality assurance measures, forming a multi-scenario adjustment scheme library that can cope with different degrees of schedule deviation.

6. The construction progress management method for highway maintenance according to claim 1, characterized in that: The execution steps for the construction progress management instruction are as follows: S51: Establish a multi-objective evaluation system that includes time efficiency, resource cost and quality assurance, apply a comprehensive optimization algorithm to evaluate each scheme in the multi-scenario adjustment scheme library, calculate the comprehensive optimization score of each scheme, and select the scheme with the highest comprehensive optimization score as the optimal adjustment scheme; S52: Based on the optimal adjustment scheme, dynamically update the initial maintenance construction plan, adjust the work sequence and resource allocation of the maintenance work group, correct the schedule time nodes, and generate an updated maintenance construction plan; S53: Transform the updated maintenance and construction plan into specific execution instructions, including instructions for reallocating construction resources and instructions for adjusting the schedule, to form directly executable construction schedule management instructions.

7. A construction progress management system for highway maintenance, used to implement the construction progress management method for highway maintenance as described in any one of claims 1-6, characterized in that, include: Highway maintenance demand list determination module: used to collect road condition data of target highways and perform intelligent analysis, generate road condition health index map, divide highway maintenance priority areas based on road condition health index map, and determine highway maintenance demand list. Initial maintenance construction plan generation module: Based on the highway maintenance demand list and combined with historical maintenance data, the maintenance demand is broken down into standard maintenance units and organized into maintenance work groups. A maintenance work group connection network is established to generate an initial maintenance construction plan, which includes resource allocation schemes and schedule time nodes. Progress and quality monitoring report generation module: used to collect real-time construction data and environmental impact factor data during the maintenance and construction process, calculate the actual construction progress and quality indicators based on the real-time construction data and environmental impact factor data, and generate a maintenance and construction progress and quality linkage monitoring report. Multi-scenario adjustment scheme library generation module: used to compare and analyze the maintenance construction progress and quality linkage monitoring report with the initial maintenance construction plan, identify progress deviations and potential risks, and generate a multi-scenario adjustment scheme library; Construction progress management instruction execution module: It is used to select the optimal adjustment scheme from the multi-scenario adjustment scheme library through a comprehensive optimization algorithm, dynamically update the initial maintenance construction plan, and generate construction resource reallocation instructions and progress adjustment instructions.

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