Road maintenance construction progress management method and system

Abstract

The invention relates to the technical field of progress management, in particular to a road maintenance construction progress management method and system, and the method comprises the following steps: obtaining road maintenance construction data, calculating the driving time of construction equipment, the passing matching performance and the equipment scheduling sequence, screening a path with blocked passing, and building an equipment passing priority sequence. According to the method, pavement wear monitoring data is utilized, equipment operation intensity is matched according to wear conditions, material laying and mechanical frequency are optimized, pavement non-uniform wear is reduced, construction procedure time data are combined, a procedure connection sequence is optimized, construction continuity is improved, equipment sharing conflicts are reduced, and actual execution data of task nodes are analyzed; according to error accumulation, accurate correction, dynamic adjustment of a construction plan and matching of construction site requirements are carried out, the construction scheduling flexibility is improved, the plan execution precision is enhanced, construction interruption is effectively reduced, and the overall efficiency of road maintenance construction is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of progress management, and particularly to a method and system for managing the construction progress of highway maintenance. Background Art

[0002] The technical field of progress management includes management methods for systematically planning and controlling project tasks, resource allocation, and time arrangement. The core content of this technical field includes formulating a time plan based on task dependencies, monitoring progress deviations during construction, and adjusting resource allocation to optimize the construction period. Progress management realizes the whole-process control of a project through data collection, task decomposition, construction period prediction, dynamic adjustment, etc., and is widely used in industries such as construction engineering, highway construction, and equipment manufacturing. Currently, during the highway maintenance construction process, affected by multiple factors, it is difficult to effectively control the construction progress, and the traditional progress management method is difficult to meet the complexity and variability of the highway construction environment. Therefore, the application of progress management technology in the field of highway maintenance construction is constantly developing, and special management methods for construction progress monitoring, plan adjustment, and resource coordination have been formed.

[0003] Among them, the method and system for managing the construction progress of highway maintenance refer to the management methods for technical matters such as progress tracking, plan adjustment, and construction coordination of various construction tasks during highway maintenance. This management method obtains the operation progress information of the construction site through data collection equipment, and combines historical construction data for progress prediction, and optimizes the construction plan by using the construction period adjustment method. During the construction process, the system identifies the key tasks affecting the construction period based on the critical path analysis method of construction tasks, and dynamically adjusts the construction plan based on the progress deviation calculation method. At the same time, the system reasonably allocates construction resources through the task scheduling method to ensure that the construction sequence meets the requirements of the plan. In addition, the method for managing the construction progress of highway maintenance also adopts the construction task decomposition method, divides the overall maintenance task into multiple stages, and formulates corresponding progress management measures for different stages to improve the controllability of the construction process.

[0004] The prior art has insufficient perception of environmental changes in construction progress management. The sources of construction monitoring data are single, making it difficult to obtain road traffic conditions and equipment travel obstruction situations in real time, resulting in lagging construction scheduling and difficulty in accurately matching the actual needs of the construction site. The optimization of construction plans relies on historical data or fixed scheduling rules, lacking dynamic analysis of the real-time connection of processes, leading to insufficient tightness in the connection of different construction links and prone to problems such as equipment idleness or repeated operations. The method for correcting construction errors is based on single-point deviation calculation, failing to fully consider the cumulative effect of errors, resulting in the transmission of errors between multiple links and making it impossible to completely eliminate plan deviation in construction progress adjustment. The scheduling of construction resources fails to fully combine equipment usage duration and operation completion rate, resulting in uneven workloads of some equipment and exacerbating the waste of construction resources. In terms of progress optimization, the plan adjustment lacks adaptability to emergencies, and the adjustment strategy is difficult to quickly match changes in the on-site environment, affecting the execution stability of the construction plan and the predictability of the construction period. Summary of the Invention

[0005] The purpose of the present invention is to solve the deficiencies existing in the prior art and propose a method for managing the construction progress of highway maintenance.

[0006] To achieve the above purpose, the present invention adopts the following technical solution: A method for managing the construction progress of highway maintenance, including the following steps:

[0007] S1: Obtain traffic monitoring data, extract traffic characteristics, calculate equipment travel time and scheduling order, screen blocked paths, and establish a priority sequence for the passage of construction equipment;

[0008] S2: Obtain the priority sequence for the passage of the construction equipment, analyze the relationship between wear and equipment load, adjust the paving thickness, equipment pressure, and operation frequency, and generate operation intensity parameters for the construction equipment;

[0009] S3: Invoke the operation intensity parameters of the construction equipment, calculate the time dependence of processes, screen cross-influencing processes, adjust the execution time and equipment alternation order, optimize the process sequencing, match the construction progress adjustment strategy, calculate the matching degree of process connection, and generate a time offset value for process adjustment;

[0010] S4: Invoke the time offset value for process adjustment, obtain the actual execution time of the task, calculate the error correction factor, match the correction rule, adjust the equipment operation order, and generate a construction error correction amount;

[0011] S5: Invoke the error correction amount, extract the progress offset trend, calculate the equipment scheduling adjustment parameter, match the optimization plan, correct the construction execution plan, and generate an optimized adjustment plan for the construction progress.

[0012] As a further solution of the present invention, the construction equipment passage priority sequence includes blocked passage paths, equipment passage matching, and equipment scheduling order. The construction equipment operation intensity parameters include road surface friction coefficient, surface crack distribution, peeling rate, and bearing stress change. The process adjustment time offset value includes time dependence index, cross-influence process object, time offset influence range, and conflict correction amount. The construction error correction amount includes error correction factor, error influence range, and construction error correction rule. The construction progress optimization adjustment plan includes equipment scheduling adjustment parameters, construction progress optimization plan, and construction execution plan.

[0013] As a further solution of the present invention, the steps for obtaining the passage priority sequence are as follows:

[0014] S101: Obtain the traffic monitoring sensor, drone cruise, and road camera data in the highway maintenance construction area, extract the road passage density and driving speed during the road period, calculate the ratio of the average passage rate to the traffic flow density in the time interval of the detection point, compare the instantaneous flow value of the point with the regional passage threshold, and screen the road sections exceeding the passage threshold to obtain the road congestion index;

[0015] S102: Based on the road congestion index, calculate the target driving interval of the construction equipment, call the traffic flow stability of the target driving path, calculate the vehicle flow volatility after the construction equipment enters the section, and use the formula:

[0016]

[0017] Calculate the passage matching, screen the blocked passage paths, and obtain the equipment scheduling order; where S p represents the passage matching, v K represents the instantaneous vehicle flow velocity on the target driving path, represents the average driving speed of the interval, Q represents the number of sampling times in the time interval, D t represents the current road passage density, and T a represents the expected passing time of the construction equipment;

[0018] S103: Call the equipment scheduling order, calculate the time interval for the construction equipment to pass through the section according to the driving requirements of the equipment and the road congestion situation, adjust the driving order of the construction equipment, establish a classification of equipment passage priorities, and generate a construction equipment passage priority sequence.

[0019] As a further solution of the present invention, the steps for obtaining the construction equipment operation intensity parameters are as follows:

[0020] S201: Invoke the priority sequence of the construction equipment's passage, obtain the data of the road surface wear sensors, friction force testing devices, and surface peeling monitoring equipment in the construction area, extract the road surface friction coefficient, surface crack distribution, peeling rate, and bearing stress change at the detection points, calculate the average bearing stress change rate of the road section, and screen the road sections where the bearing stress fluctuation exceeds the reference value to obtain the differential wear intervals;

[0021] S202: Based on the differential wear intervals, calculate the working load of the construction equipment on the corresponding road sections, invoke the equipment type, load distribution, and equipment frequency, calculate the load impact per unit working area of the construction equipment, and use the formula:

[0022]

[0023] Calculate the equipment working load, adjust the material laying thickness and the pressure of the compaction equipment to obtain the construction machinery adjustment parameters; where L d represents the equipment working load, F R represents the load force of the construction equipment on the Rth road section, A R represents the working area of the Rth road section, T R represents the construction time of the equipment in the area, N s represents the total number of construction equipment in the construction area, C f represents the friction coefficient of the construction road surface;

[0024] S203: Invoke the construction machinery adjustment parameters, based on the operation intensity requirements of different equipment, adjust the operation frequency of the construction machinery, combine the equipment load distribution, calculate the operation power requirements of the construction equipment, optimize the operation rhythm of the construction equipment, and establish the operation intensity parameters of the construction equipment.

[0025] As a further solution of the present invention, the steps for obtaining the process adjustment time offset value are as follows:

[0026] S301: Invoke the operation intensity parameters of the construction equipment, obtain the operation time data of the construction processes, extract the process connection sequence, equipment sharing degree, and construction area overlap situation, calculate the time distribution situation between different construction processes, based on the construction area overlap degree, calculate the time dependence index between processes, and screen the process objects with cross-influence on construction time to obtain the cross-influence process group;

[0027] S302: Based on the cross-influence process group, calculate the time offset of the process, invoke the time dependence index, calculate the influence range of the time offset on the process, screen the adjustable processes, and calculate the time conflict correction amount, using the formula:

[0028] S303: Call the process adjustment parameters, calculate the process connection matching degree based on the time distribution after process adjustment, screen the construction progress matching adjustment strategy, optimize the process execution sequence, and establish the process adjustment time offset value.

[0029] As a further solution of the present invention, the steps for obtaining the construction error correction amount are as follows:

[0030] S401: Call the process adjustment time offset value, obtain the actual execution time of the construction task node, extract the process offset amount, error accumulation trend, and operation completion deviation, calculate the time error ratio of the process, screen the error influence range, verify the key error interval affecting the process, and obtain the construction error influence interval;

[0031] S402: Based on the construction error influence interval, calculate the time error correction factor for each process, call the error accumulation trend and operation completion deviation data, analyze the cumulative impact of time offset on subsequent processes, quantify the construction progress adjustment requirement by constructing an error propagation mechanism, and use the formula:

[0032]

[0033] Perform the calculation of the error correction factor; according to the correction factor value, combine the construction error correction rule, adjust the equipment operation sequence of the affected process, and obtain the construction equipment operation adjustment parameter.

[0034] Among them, η represents the error correction factor, T ai represents the actual completion time of the i-th process, T pi represents the planned completion time of the i-th process, ω i represents the influence weight of this process on the overall construction progress, E j and S j are the end time and start time of the j-th process respectively, and λ j is the error propagation influence coefficient of the process in the construction cycle;

[0035] S403: Call the construction equipment operation adjustment parameter, calculate the operation time distribution after construction error correction, optimize the construction equipment operation sequence, calculate the corrected time connection matching degree of the process, and establish the construction error correction amount.

[0036] As a further solution of the present invention, the steps for obtaining the construction progress optimization adjustment plan are as follows:

[0037] S501: Call the construction error correction amount, obtain the construction task execution data, extract the progress offset trend, equipment usage duration, and operation completion rate, calculate the progress adjustment requirement of the construction task, and based on the equipment usage duration and operation completion rate, screen the equipment that needs to be adjusted and scheduled to obtain the equipment scheduling adjustment parameter;

[0038] S502: Based on the device scheduling adjustment parameters, calculate the impact degree of the device scheduling adjustment on the construction progress, call the progress deviation trend, calculate the optimization amount of the construction task time distribution, and use the formula:

[0039]

[0040] Calculate the construction progress optimization parameters, match the construction progress optimization plan, adjust the execution time of the construction tasks, and obtain the construction plan adjustment parameters; where P l represents the construction progress optimization parameter, T cV represents the current execution time of construction task V, T pV represents the planned execution time of construction task V, W qV represents the influence weight of construction task V on the overall progress matching, R pV represents the influence factor of the progress deviation on the task;

[0041] S503: Call the construction plan adjustment parameters, calculate the time distribution after the construction progress is optimized, correct the construction execution plan, adjust the device scheduling order, and establish a construction progress optimization adjustment plan.

[0042] The highway maintenance construction progress management system includes:

[0043] The traffic monitoring and traffic optimization module obtains the data of traffic monitoring sensors, drone cruises, and road cameras, extracts the road traffic density, driving speed, traffic flow stability, and road congestion index, calculates the equipment driving time, traffic matching, and equipment scheduling order, and generates the construction equipment traffic priority sequence;

[0044] The equipment operation intensity matching module calls the construction equipment traffic priority sequence, obtains the data of the road surface wear sensor, friction force test device, and surface peeling monitoring equipment, extracts the road surface friction coefficient, crack distribution, peeling rate, and bearing stress change, adjusts the material laying thickness, compaction equipment pressure, and construction machinery frequency, and generates the construction equipment operation intensity parameters;

[0045] The process connection optimization module calls the construction equipment operation intensity parameters, obtains the process operation time data, extracts the process connection sequence, equipment sharing degree, and construction area overlap situation, calculates the time dependence index, screens the process objects with cross-influence, calculates the time deviation influence range, matches the adjustable processes, calculates the conflict correction amount, adjusts the process execution time and the equipment alternating use order, screens the construction progress matching adjustment strategies, calculates the process connection matching degree, optimizes the process execution sorting, and generates the process adjustment time deviation value;

[0046] The construction error correction module calls the process adjustment time offset value to obtain the construction task execution time, extracts the process offset, error accumulation trend, and operation completion deviation, calculates the error correction factor, adjusts the operation sequence of construction equipment, matches the construction error correction rules, and generates the construction error correction amount;

[0047] The construction progress adjustment module calls the construction error correction amount to obtain the construction task execution data, extracts the progress offset trend, equipment usage duration, and operation completion rate, calculates the equipment scheduling adjustment parameters, matches the construction progress optimization plan, corrects the construction execution plan, and generates the construction progress optimization adjustment plan.

[0048] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0049] In the present invention, pavement wear monitoring data is utilized to match the equipment operation intensity according to the wear condition, optimize the material laying and machinery frequency, reduce non-uniform pavement wear, combine the construction process time data, optimize the process connection sequence, improve construction coherence, reduce equipment sharing conflicts, analyze the actual execution data of task nodes, accurately correct the error accumulation, dynamically adjust the construction plan, match the construction site requirements, enhance the flexibility of construction scheduling, improve the plan execution accuracy, effectively reduce construction interruptions, and improve the overall efficiency of highway maintenance construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is the main step flow chart of the present invention;

[0051] Figure 2 is the flow chart of the acquisition steps of the traffic priority sequence of the present invention;

[0052] Figure 3 is the flow chart of the acquisition steps of the construction equipment operation intensity parameters of the present invention;

[0053] Figure 4 is the flow chart of the acquisition steps of the process adjustment time offset value of the present invention;

[0054] Figure 5 is the flow chart of the acquisition steps of the construction error correction amount of the present invention;

[0055] Figure 6 is the flow chart of the acquisition steps of the construction progress optimization adjustment plan of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0056] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0057] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation to the present invention. In addition, in the description of the present invention, the meaning of "a plurality of" is two or more, unless otherwise specifically defined.

[0058] Please refer to Figure 1 , a highway maintenance construction progress management method, comprising the following steps:

[0059] S1: Obtain the data of traffic monitoring sensors, drone cruises, and road cameras in the highway maintenance construction area, extract the road traffic density, driving speed, traffic flow stability, and road congestion index, calculate the driving time of construction equipment, traffic matching, equipment scheduling order, screen the paths with blocked traffic, establish a classification of equipment traffic priorities, and generate an equipment traffic priority sequence;

[0060] S2: Call the equipment traffic priority sequence, obtain the data of pavement wear sensors, friction test devices, and surface peeling monitoring equipment in the construction area, extract the pavement friction coefficient, surface crack distribution, peeling rate, and bearing stress change, analyze the equipment workload corresponding to differential wear, adjust the material laying thickness, compaction equipment pressure, and construction machinery frequency, and generate construction equipment operation intensity parameters;

[0061] S3: Call the construction equipment operation intensity parameters, obtain the operation time data of construction processes, extract the process connection sequence, equipment sharing degree, and construction area overlap situation, calculate the time dependence index, screen the process objects with cross-influence, calculate the influence range of time offset on the process, match the adjustable processes, calculate the conflict correction amount, adjust the process execution time, correct the equipment alternating use order, screen the construction progress matching adjustment strategy, calculate the process connection matching degree, optimize the process execution sorting, and generate a process adjustment time offset value;

[0062] S4: Call the process adjustment time offset value, obtain the actual execution time of the construction task nodes, extract the process offset amount, error accumulation trend, and operation completion deviation, calculate the error correction factor, screen the error influence range, adjust the operation order of construction equipment, match the construction error correction rules, and generate a construction error correction amount;

[0063] S5: Invoke the construction error correction amount, obtain the construction task execution data, extract the progress deviation trend, equipment usage duration, and operation completion rate, calculate the equipment scheduling adjustment parameters, match the construction progress optimization plan, correct the construction execution plan, and generate the construction progress optimization and adjustment plan.

[0064] The construction equipment passage priority sequence includes the blocked passage path, equipment passage matching, and equipment scheduling order. The construction equipment operation intensity parameters include the road surface friction coefficient, surface crack distribution, peeling rate, and bearing stress change. The process adjustment time offset value includes the time dependence index, cross-influence process object, time offset influence range, and conflict correction amount. The construction error correction amount includes the error correction factor, error influence range, and construction error correction rule. The construction progress optimization and adjustment plan includes the equipment scheduling adjustment parameters, construction progress optimization plan, and construction execution plan.

[0065] Please refer to Figure 2 , and the steps for obtaining the passage priority sequence are as follows:

[0066] S101: Obtain the traffic monitoring sensor, drone cruise, and road camera data in the highway maintenance construction area, extract the road traffic density and driving speed during the road period, calculate the ratio of the average passage rate to the traffic flow density in the time interval of the detection point, compare the instantaneous flow value of the point with the regional passage threshold, and screen the road sections exceeding the passage threshold to obtain the road congestion index;

[0067] After obtaining traffic monitoring sensor, drone cruise, and road camera data, it is necessary to extract the road traffic density and driving speed at different time periods. For example, during the morning rush hour, the instantaneous traffic flow on a certain road may reach 2,000 vehicles per hour, while it drops to 300 vehicles per hour at night. First, set the road segment detection area. The detection points in each area automatically identify the vehicles entering and leaving through cameras and record the timestamps, calculate the number of vehicles passing through during this period, and obtain the instantaneous traffic flow value. For example, within a 5-minute time interval, 100 vehicles pass through a certain detection point, then the instantaneous traffic flow is calculated as 100 vehicles / 5 minutes = 1,200 vehicles per hour. Next, calculate the average passing speed of each detection point within the time interval, that is, measure the driving time of each vehicle within a certain interval, and calculate the speed through the time difference between the start and end points of the interval. For example, the distance between two detection points is 500 meters, and the passing time is 40 seconds, then the speed is calculated as 500 meters / 40 seconds = 12.5 meters per second (about 45 kilometers per hour). Subsequently, calculate the traffic density ratio, that is, the number of vehicles per unit distance. For example, 50 vehicles are detected within a 1-kilometer road section, then the traffic density is 50 vehicles per kilometer. Call the instantaneous traffic flow values of each point and compare them with the regional traffic threshold. For example, the traffic threshold of a certain road is set at 1,500 vehicles per hour. If the calculated instantaneous traffic flow value is greater than this threshold, it is determined that the road section enters a high-flow state. By comprehensively considering the traffic conditions of multiple detection points, screen out the road sections exceeding the traffic threshold to form a road congestion index. For example, if the traffic density in a certain area reaches 80 vehicles per kilometer and the instantaneous traffic flow value is 1,700 vehicles per hour, then the road congestion index is calculated as 80 × 1,700 / 1,500 = 90.67, and finally the road congestion index is obtained.

[0068] S102: Based on the road congestion index, calculate the target driving interval of the construction equipment, call the traffic flow stability of the target driving path, calculate the vehicle flow volatility after the construction equipment enters the road section, and use the formula:

[0069]

[0070] Calculate the passing matching degree, screen out the paths with blocked passing, and obtain the equipment scheduling order; where S p represents the passing matching degree, v K represents the instantaneous vehicle flow velocity on the target driving path, represents the average driving speed of the interval, Q represents the number of sampling times within the time interval, D t represents the current road traffic density, T a represents the expected passing time of the construction equipment;

[0071] Based on the road congestion index, calculate the target driving range of construction equipment. First, set the target driving path of each construction equipment according to the construction task requirements. For example, if a construction equipment needs to drive from point A to point B and pass through point C, it is necessary to evaluate the traffic conditions of this path and call the traffic flow stability parameter, that is, analyze the traffic flow changes on a certain section within multiple consecutive time periods. For example, on a certain section, the instantaneous flow data is recorded every 5 minutes. If the flow fluctuation range is small (such as 1200 - 1300 vehicles / hour), the traffic flow can be determined to be stable. Conversely, if the fluctuation range is large (such as 800 - 1800 vehicles / hour), the traffic flow is determined to be unstable. Subsequently, calculate the vehicle flow volatility after the construction equipment enters this section. Assume that during the driving process of the construction equipment, the vehicle flow velocities measured within the time interval are v1 = 30 km / h, v2 = 28 km / h, v3 = 35 km / h, v4 = 40 km / h, v5 = 38 km / h respectively, then calculate the average driving speed within this time interval as Furthermore, calculate the traffic flow volatility using the formula:

[0072]

[0073] where, take Q = 5, D t = 0.8 (traffic flow density coefficient), T a = 60 seconds (the estimated time for the construction equipment to pass through this section), substitute into the calculation to get:

[0074]

[0075] This result indicates that the traffic flow volatility of this section is small, so it can be determined that the traffic matching degree is relatively high. Furthermore, screen the paths with traffic jams and finally obtain the equipment scheduling order.

[0076] S103: Call the equipment scheduling order, calculate the time interval for the construction equipment to pass through the section according to the driving requirements of the equipment and the road congestion condition, adjust the driving order of the construction equipment, establish a classification of equipment traffic priorities, and generate a sequence of construction equipment traffic priorities;

[0077] Call the equipment scheduling order. According to the driving requirements of each equipment and the road congestion situation, calculate the time interval for the construction equipment to pass through each section. For example, for two pieces of equipment A and B, if A needs to complete the construction of a certain section before B, it is necessary to calculate the time difference between the driving time of A and the entry time of B. For example, if A needs to drive 5 kilometers and the driving speed is expected to be 40 km / h, the driving time is calculated as 5 / 40 = 0.125 hours (7.5 minutes). If the optimal time for B to enter this section is 3 minutes after A has completed driving, the expected entry time of B is 10.5 minutes. According to the principle of the shortest path and the lowest passing resistance, adjust the driving order of the construction equipment. Assume that the original driving path of B is 1 kilometer more circuitous than that of A, then the optimized path is reduced by 1 kilometer, reducing the driving time, so as to rearrange the driving order of the construction equipment, establish a classification of equipment passing priorities, and finally generate a construction equipment passing priority sequence.

[0078] Please refer to Figure 3 , the steps for obtaining the operation intensity parameters of the construction equipment are as follows:

[0079] S201: Call the construction equipment passing priority sequence, obtain the data of the road surface wear sensor, friction force test device, and surface peeling monitoring equipment in the construction area, extract the road surface friction coefficient, surface crack distribution, peeling rate, and bearing stress change at the detection points, calculate the average bearing stress change rate of the section, screen the sections where the bearing stress fluctuation exceeds the reference value, and obtain the differential wear interval;

[0080] Based on the priority sequence of construction equipment passage, obtain the data of road surface wear sensors, friction test devices, and surface peeling monitoring equipment in the construction area. Classify and organize the data at the detection points, and extract the road surface friction coefficient, surface crack distribution, peeling rate, and bearing stress change. First, for the road surface friction coefficient, select the monitoring points on different construction sections and measure them using a friction test device. For example, at a certain section A, the measured friction coefficient is 0.75, while at section B, the measured friction coefficient is 0.6, indicating that the friction performance of section B is poor. Secondly, for the surface crack distribution, use a high-precision camera to scan the road surface, record the crack length and width, and classify them according to the standard. For example, cracks with a width within 1 mm are regarded as minor cracks, 1 mm - 5 mm as medium cracks, and greater than 5 mm as severe cracks. If the crack length in a certain area reaches 10 meters and the width is 3 mm, then this area needs to be focused on. Then, extract the peeling rate by recording the change in the thickness of the peeling layer through the monitoring equipment. For example, detect once a week. If the peeling thickness of a certain section is 1.5 mm in the first week and 2.1 mm in the second week, then calculate the peeling rate as (2.1 - 1.5) / 7 = 0.086 mm / day. Finally, calculate the average bearing stress change rate of each section. Assume that the measured bearing stress change values at three detection points are 150 MPa, 160 MPa, and 145 MPa respectively, then calculate its change rate as (150 + 160 + 145) / 3 = 151.67 MPa. Screen out the sections where the bearing stress fluctuation exceeds the reference value. For example, the reference value is 140 MPa. If a certain area is higher than this value by more than 20%, then it is determined as a high-fluctuation area, and finally obtain the differential wear interval.

[0081] S202: Based on the differential wear interval, calculate the working load of the construction equipment on the corresponding section, call the equipment type, load distribution, and equipment frequency, calculate the load impact per unit working area of the construction equipment, and use the formula:

[0082]

[0083] Calculate the equipment working load, adjust the material laying thickness and the pressure of the compaction equipment, and obtain the construction machinery adjustment parameters; where, L d represents the equipment working load, F R represents the load capacity of the construction equipment on the R-th section, A R represents the working area of the R-th section, T R represents the construction time of the equipment in the area, N s represents the total number of construction equipment in the construction area, C f represents the friction coefficient of the construction road surface;

[0084] First, determine the load impact of each construction equipment. For example, if the total mass of a roller is 10 tons and the contact area is 2 square meters, the load force per unit area is calculated as 10 tons / 2 square meters = 5 tons / square meter. Call the equipment type, load distribution, and equipment frequency, and calculate the load impact of the construction equipment per unit working area using the formula:

[0085]

[0086] Among them, assume that there are 3 construction sections (U = 3), the load forces of the construction equipment on these three sections are 8 tons, 10 tons, and 12 tons respectively, the working areas of each section are 3 square meters, 4 square meters, and 5 square meters respectively, the construction time of the equipment in this area is 30 minutes, 40 minutes, and 50 minutes respectively, the total number of equipment in the construction area is 5, and the friction coefficient is 0.8. Substitute into the calculation:

[0087]

[0088] The calculated equipment working load is 60.02. Adjust the material laying thickness and the pressure of the compaction equipment to finally obtain the construction machinery adjustment parameters.

[0089] S203: Call the construction machinery adjustment parameters, adjust the operation frequency of the construction machinery based on the operation intensity requirements of different equipment, combine the equipment load distribution, calculate the operation power requirements of the construction equipment, optimize the operation rhythm of the construction equipment, and establish the operation intensity parameters of the construction equipment;

[0090] Based on the operation intensity requirements of different equipment, adjust the operation frequency of the construction machinery. For example, if a roller completes one operation in 20 minutes and 4 operations are required according to the construction plan, the total operation duration is 80 minutes. If it is adjusted to 3 operations, it is reduced to 60 minutes, thereby optimizing the operation rhythm of the construction equipment. Calculate the operation power requirements of the construction equipment. For example, the rated power of a certain equipment is 50 kW. After the operation frequency is adjusted, the energy consumption per operation is reduced by 10%. Then the adjusted operation power requirement is calculated as 50 kW × 0.9 = 45 kW. Finally, optimize the operation rhythm of the construction equipment and establish the operation intensity parameters of the construction equipment.

[0091] Please refer to Figure 4 , and the steps to obtain the process adjustment time offset value are as follows:

[0092] S301: Call the operation intensity parameters of the construction equipment, obtain the operation time data of the construction process, extract the process connection sequence, equipment sharing degree, and construction area overlap situation, calculate the time distribution situation between different construction processes, calculate the time dependence index between processes based on the construction area overlap degree, screen the process objects with cross - impact on construction time, and obtain the cross - impact process group;

[0093] Call the operation intensity parameters of construction equipment, obtain the operation time data of construction processes, extract the sequence of process connection, the degree of equipment sharing, and the overlap of construction areas, calculate the time distribution between different construction processes. First, establish a construction process time table. For example, a certain construction stage includes three processes A, B, and C. Process A takes 3 hours, B takes 2 hours, and C takes 4 hours. Calculate the time connection relationship between processes. If B needs to start immediately after A is completed, the time connection between A - B is 0 hours. If C needs both A and B to be completed before it can start, the time connection value of C is max(3 + 2) = 5 hours. Based on the overlap degree of the construction area, calculate the time dependence index between each process. For example, if A and B operate in the same area and B must start within 30 minutes after A is completed, the dependence index is set to 0.5 (the complete dependence value is 1). Screen out the process objects with cross - impact on construction time, and finally obtain the cross - impact process group.

[0094] S302: Based on the cross - impact process group, calculate the time offset of the process, call the time dependence index, calculate the influence range of the time offset on the process, screen the adjustable processes, calculate the time conflict correction amount, using the formula:

[0095]

[0096] Calculate the conflict correction amount, adjust the process execution time, correct the order of alternating use of equipment, and obtain the process adjustment parameters; where, T b represents the conflict correction amount, S X represents the actual start time of process X, E X represents the theoretical end time of process X, M k represents the construction cycle of process X, W r represents the influence weight of process X on the matching of the overall construction time;

[0097] First, determine the theoretical completion time and actual completion time of each process. For example, for a certain construction process A, the planned completion time is 10:00, but the actual completion time is 10:20. Then the time offset of A is calculated as 20 minutes. Call the time dependence index, calculate the influence range of the time offset on the process. Suppose the time dependence between process A and process B is 0.6, and the planned start time of B is 10:30. Then the maximum delay time of B affected by A is calculated as 20 minutes × 0.6 = 12 minutes. Screen the adjustable processes, calculate the time conflict correction amount, using the formula:

[0098]

[0099] Suppose there are three processes X = 3, with actual start times S X = {9:00, 10:20, 12:00}, theoretical end times E X

[0100] = {9:30, 10:00, 12:30}, construction period M k = {30, 40, 30} minutes, influence weight W on the overall construction time r

[0101] = {0.8, 0.6, 0.7}, the calculation process is as follows:

[0102] Convert time unit (minutes):

[0103] Actual start time of construction process X:

[0104] S X = [9:00, 10:20, 12:00] = [540, 620, 720] (minutes);

[0105] Theoretical end time of construction process X:

[0106] E X = [9:30, 10:00, 12:30] = [570, 600, 750] (minutes);

[0107] Construction period:

[0108] M k = [30, 40, 30];

[0109] Weight of the overall impact time of construction:

[0110] W r = [0.8, 0.6, 0.7];

[0111] Calculate the time offset (actual start time - theoretical end time):

[0112] 540 - 570 = -30;

[0113] 620 - 600 = 20;

[0114] 720 - 750 = -30;

[0115] So the time offset:

[0116] [-30, 20, -30];

[0117] Calculate the conflict correction amount T b :

[0118]

[0119] Calculate the numerator:

[0120]

[0121] Calculate the denominator:

[0122] 0.8 + 0.6 + 0.7 = 2.1;

[0123] Calculate the final result:

[0124]

[0125] The calculated conflict correction amount T b is -0.57, indicating that the overall construction time adjustment trend is slightly advanced. The negative value indicates that the overall impact of the construction time is to make some processes earlier than expected. Adjust the execution time of the processes, correct the order of alternating use of equipment, and finally obtain the process adjustment parameters.

[0126] S303: Invoke the process adjustment parameters, calculate the process connection matching degree based on the time distribution after process adjustment, screen the adjustment strategies for the construction progress matching, optimize the process execution sequence, and establish the time offset value of the process adjustment;

[0127] First, define the connection matching criteria between processes. For example, if a construction task includes three processes A, B, and C, the end time of A is 10:00, and the start time of B is 10:05, then the connection error between A and B is 5 minutes. If C was originally scheduled to start at 12:00 but was changed to 12:15 due to the delay of B, then the connection error between A and C is 15 minutes. By calculating the sum of the connection errors of each process, the process matching degree score is obtained. For example, if the error values of A - B, B - C, and A - C are 5, 10, and 15 minutes respectively, then the matching degree is calculated as 100 - (5 + 10 + 15) = 70 (the full score of the matching degree is 100). Screen the adjustment strategies for the construction progress matching. For example, for tasks with a matching degree lower than 80, adopt strategies such as adjusting the equipment priority and increasing construction equipment, optimize the process execution sequence, and finally establish the time offset value of the process adjustment.

[0128] Please refer to Figure 5 , the steps for obtaining the construction error correction amount are:

[0129] S401: Invoke the time offset value of the process adjustment, obtain the actual execution time of the construction task node, extract the process offset amount, error accumulation trend, and operation completion deviation, calculate the time error ratio of the process, screen the error influence range, verify the key error interval where the process has an impact, and obtain the construction error influence interval;

[0130] Call the process adjustment time offset value, obtain the actual execution time of the construction task node, extract the process offset, error accumulation trend, and job completion deviation, calculate the time error ratio of each process. For example, if the planned completion time of a process is 15:00 and the actual completion time is 15:25, the time error is 25 minutes, and the time error ratio is calculated as 25 / 180 = 0.14 (the total process duration is 180 minutes). Screen the error influence range, determine the key error interval that affects the subsequent processes. For example, if the error ratio is higher than 0.1, it is determined as a task that needs to be corrected, and finally obtain the construction error influence interval.

[0131] S402: Based on the construction error influence interval, calculate the time error correction factor for each process, call the error accumulation trend and job completion deviation data, analyze the cumulative impact of time offset on subsequent processes, and quantify the construction progress adjustment requirements by constructing an error propagation mechanism. Use the formula:

[0132]

[0133] Perform the calculation of the error correction factor; according to the value of the correction factor, combined with the construction error correction rule, adjust the equipment operation sequence of the affected processes to obtain the construction equipment operation adjustment parameters.

[0134] Among them, η represents the error correction factor, T ai represents the actual completion time of the i-th process, T pi represents the planned completion time of the i-th process, ω i represents the influence weight of this process on the overall construction progress, E j and S j are the end time and start time of the j-th process respectively, λ j is the error propagation influence coefficient of the process in the construction cycle

[0135] First, extract the actual error data of each process in this interval. For example, if there are three processes X, Y, and Z in a certain interval, and their error times are 15 minutes, 25 minutes, and 20 minutes respectively, then perform cumulative analysis on their time deviations to construct the calculation basis of the time error correction factor. Subsequently, call the error accumulation trend and job completion deviation in this interval for analysis to judge the cumulative impact of time offset on the entire construction plan. Specifically, use the formula:

[0136]

[0137] Perform the calculation of the error correction factor. Assign values for actual calculation. Assume that there are 3 processes in a certain section, n = 3. Among them, the actual completion time T a1 of process 1 is 10:30, and the planned time T p1It is 10:00, with a deviation of 30 minutes and an influence weight ω 1 is 0.4. The actual completion time of Process 2 is 12:10, the planned time is 12:00, the deviation is 10 minutes, and the influence weight ω 2 is 0.3. The actual completion time of Process 3 is 14:45, the planned time is 14:30, the deviation is 15 minutes, and the influence weight ω 3 is 0.3. The corresponding calculation result is:

[0138]

[0139] Assume that within this time period, the construction time lengths of Processes 1, 2, and 3 are E j -S j which are 2 hours, 1.5 hours, and 2 hours respectively, and the error propagation influence coefficients λ j are 0.5, 0.4, and 0.6 respectively:

[0140]

[0141] The final correction factor η is:

[0142]

[0143] According to the calculated correction factor, call the construction error correction rule to preferentially adjust the processes with significant error impacts. For example, if the correction factor η is greater than 5, it is determined as a serious deviation, adjust the equipment operation sequence of this process, and preferentially adjust the process with the widest influence range (the highest weight ω). Finally, obtain the construction equipment operation adjustment parameters.

[0144] S403: Call the construction equipment operation adjustment parameters, calculate the operation time distribution after construction error correction, optimize the construction equipment operation sequence, calculate the corrected time connection matching degree of the processes, and establish the construction error correction amount;

[0145] First, adjust the execution time of the affected processes. For example, if the planned time of a certain process is 17:00 - 19:00 but it is postponed to start at 17:20 due to the influence of the previous error, then the adjusted operation time is 17:20 - 19:20. Optimize the construction equipment operation sequence to ensure the rationality of equipment use and scheduling. For example, if Equipment A was originally planned to be put into use at 18:00 but is postponed to 18:30 due to the adjustment, then it is necessary to coordinate the time arrangement of Equipment B so that there is no waiting time. Calculate the corrected time connection matching degree of the processes. For example, the connection error between A and B after adjustment is reduced to 5 minutes, and the matching degree is increased from 70 to 85. Finally, establish the construction error correction amount.

[0146] Please refer to Figure 6 , and the steps to obtain the construction progress optimization and adjustment plan are:

[0147] S501: Invoke the construction error correction amount, obtain the construction task execution data, extract the progress deviation trend, equipment usage duration, and operation completion rate, calculate the progress adjustment requirement of the construction task, and based on the equipment usage duration and operation completion rate, screen the equipment that needs to adjust the scheduling to obtain the equipment scheduling adjustment parameters;

[0148] Invoke the construction error correction amount, obtain the construction task execution data, extract the progress deviation trend, equipment usage duration, and operation completion rate, calculate the progress adjustment requirement of each construction task. For example, if the planned completion time of a certain task is 20:00 and the actual completion time is 20:30, then the progress deviation amount is calculated as 30 minutes. Based on the equipment usage duration and operation completion rate, screen the equipment that needs to adjust the scheduling. For example, if the usage duration of equipment A exceeds 15% of the planned time, it is determined as the equipment that needs to be optimized. Finally, obtain the equipment scheduling adjustment parameters.

[0149] S502: Based on the equipment scheduling adjustment parameters, calculate the impact degree of the equipment scheduling adjustment on the construction progress, invoke the progress deviation trend, calculate the optimization amount of the construction task time distribution, and use the formula:

[0150]

[0151] Calculate the construction progress optimization parameter, match the construction progress optimization plan, adjust the execution time of the construction task, and obtain the construction plan adjustment parameter; where, P l represents the construction progress optimization parameter, T cV represents the current execution time of construction task V, T pV represents the planned execution time of construction task V, W qV represents the influence weight of construction task V on the overall progress matching, R pV represents the influence factor of the progress deviation on the task;

[0152] First, analyze the current scheduling time and usage efficiency of each equipment. For example, the original planned running time of a certain construction equipment A is 8 hours, but the actual running time reaches 9 hours. Then the equipment overtime rate is calculated as (9 - 8) / 8 = 12.5%. Invoke the progress deviation trend, calculate the optimization amount of the construction task time distribution, and use the formula:

[0153] Known parameters: Current execution time (converted to minutes):

[0154] T cv ={12:10, 14:30, 17:00}={730, 870, 1020};

[0155] Planned execution time (converted to minutes):

[0156] T pv = {12:00, 14:00, 16:30} = {720, 840, 990};

[0157] Matching weight:

[0158] W qV = {0.7, 0.6, 0.8};

[0159] Progress offset impact factor:

[0160] R pV = {1.3, 1.1, 1.2};

[0161] Calculate the progress optimization parameter for each task

[0162]

[0163] The first task:

[0164]

[0165] The second task:

[0166]

[0167]

[0168] The third task:

[0169]

[0170] Calculate the total construction progress optimization parameter

[0171] P 1 = 0.0097 + 0.0224 + 0.0265 = 0.0586;

[0172] The corrected construction progress optimization parameter P 1

[0173] Is still 0.0586, which means that the overall construction progress adjustment range is small, and the impact of task time adjustment on the construction progress is ultimately not significant. If you hope to further optimize the progress, you can adjust the task scheduling time or equipment matching

[0174] To the construction plan adjustment parameter.

[0175] S503: Call the construction plan adjustment parameter, calculate the time distribution after optimizing the construction progress, correct the construction execution plan, adjust the equipment scheduling order, and establish a construction progress optimization adjustment plan;

[0176] First, adjust the execution duration of each construction task based on the optimization parameters. For example, if the original planned execution time of a task is 3 hours, but it needs to be shortened by 10% according to the optimization calculation, the adjusted time is 2 hours and 42 minutes. Modify the construction execution plan to ensure the tight connection between tasks. For example, if a task originally had to wait for equipment A to be idle before it could proceed, but due to the time optimization of equipment A, it is released earlier, then this task can adjust its time synchronously to reduce the waiting time. Adjust the equipment scheduling order to ensure the rational use of equipment resources. For example, if the construction of a certain section originally planned to use equipment A and B, but due to the adjusted time of B being later than A, the task priority of A is increased. Optimize the execution strategy of construction tasks. For example, if the original construction path of a task was A - B - C, but due to the delay adjustment of B, the construction sequence is changed to A - C - B to reduce the overall delay time. Finally, establish an optimized adjustment plan for the construction progress.

[0177] The highway maintenance construction progress management system includes:

[0178] The traffic monitoring and traffic flow optimization module obtains data from traffic monitoring sensors, drone cruises, and road cameras, extracts the road traffic density, driving speed, traffic flow stability, and road congestion index, calculates the equipment driving time, traffic matching, and equipment scheduling order, and generates a priority sequence for the passage of construction equipment.

[0179] The equipment operation intensity matching module calls the priority sequence for the passage of construction equipment, obtains data from pavement wear sensors, friction force test devices, and surface peeling monitoring equipment, extracts the pavement friction coefficient, crack distribution, peeling rate, and change in bearing stress, adjusts the material laying thickness, compaction equipment pressure, and construction machinery frequency, and generates the operation intensity parameters of construction equipment.

[0180] The process connection optimization module calls the operation intensity parameters of construction equipment, obtains the process operation time data, extracts the process connection sequence, equipment sharing degree, and construction area overlap situation, calculates the time dependence index, screens the process objects with cross - influence, calculates the time offset influence range, matches the adjustable processes, calculates the conflict correction amount, adjusts the process execution time and the equipment alternating use order, screens the adjustment strategies for the construction progress matching, calculates the process connection matching degree, optimizes the process execution sorting, and generates the time offset value for process adjustment.

[0181] The construction error correction module calls the time offset value for process adjustment, obtains the execution time of construction tasks, extracts the process offset amount, error accumulation trend, and operation completion deviation, calculates the error correction factor, adjusts the operation order of construction equipment, matches the construction error correction rules, and generates the construction error correction amount.

[0182] The construction progress adjustment module calls the construction error correction amount, obtains the construction task execution data, extracts the progress deviation trend, equipment usage duration, and operation completion rate, calculates the equipment scheduling adjustment parameters, matches the construction progress optimization plan, corrects the construction execution plan, and generates the construction progress optimization adjustment plan.

[0183] The above are only the preferred embodiments of the present invention, and do not limit the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes and apply them to other fields. However, as long as it does not depart from the technical solution content of the present invention, any simple modification, equivalent change, and modification made to the above embodiments based on the technical essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A highway maintenance construction progress management method, characterized in that: The following steps are involved: S1: Obtain highway maintenance data, calculate construction equipment travel time, traffic matching, equipment scheduling sequence, screen blocked paths, and establish equipment traffic priority sequence; S2: calling the equipment passage priority sequence, obtaining the data of the road surface monitoring equipment in the construction area, extracting the wear workload, analyzing the equipment workload, adjusting the material laying thickness and the compaction equipment pressure, and generating the construction equipment operation intensity parameters; S3: calling the operation intensity parameter of the construction equipment, obtaining the operation time data, screening the process objects with cross-influence, calculating the influence range of the time offset on the process, matching the adjustable process, calculating the conflict correction amount, screening the construction progress matching adjustment strategy, calculating the process connection matching degree, and generating the process adjustment time offset value; S4: calling the process to adjust the time offset value, obtaining the actual execution data of the node, calculating the error correction factor, adjusting the operation sequence of the construction equipment, matching the construction error correction rule, and generating the construction error correction amount; S5: calling the construction error correction amount, obtaining the construction task execution data, calculating the equipment scheduling adjustment parameters, matching the construction progress optimization plan, and generating the construction progress optimization adjustment plan.

2. The highway maintenance construction progress management method according to claim 1, characterized in that: The construction equipment traffic priority sequence includes blocked paths, equipment traffic matching, and equipment scheduling order; the construction equipment operating intensity parameters include road friction coefficient, surface crack distribution, peeling rate, and load-bearing stress changes; the process adjustment time offset value includes time dependence index, cross-impact process objects, time offset influence range, and conflict correction amount; the construction error correction amount includes error correction factor, error influence range, and construction error correction rule; the construction progress optimization and adjustment plan includes equipment scheduling adjustment parameters, construction progress optimization plan, and construction execution plan.

3. The highway maintenance construction progress management method according to claim 2 is characterized in that: The steps for obtaining the traffic priority sequence are: S101: Obtain data from traffic monitoring sensors, drone cruises, and road cameras in the highway maintenance construction area, extract road traffic density and driving speed during the road period, calculate the ratio of the average traffic rate and traffic density of the time interval of the detection point, call the instantaneous flow value of the point and compare it with the regional traffic threshold, screen the road interval that exceeds the traffic threshold, and obtain the road congestion index; S102: Based on the road congestion index, the target driving range of the construction equipment is calculated, the traffic flow stability of the target driving path is called, and the vehicle flow fluctuation rate after the construction equipment enters the road section is calculated using the formula: Calculate the traffic matching, filter the blocked paths, and get the equipment scheduling order; where S p represents the pass matching, v K represents the instantaneous flow rate of vehicles on the target driving path, v represents the average driving speed of the interval, Q represents the number of sampling times in the time interval, and D t Represents the current traffic density of the road, T a Represents the estimated time of passage of construction equipment; S103: Call the equipment scheduling sequence, calculate the time interval for the construction equipment to pass through the road section according to the equipment's driving demand and road congestion conditions, adjust the driving sequence of the construction equipment, establish equipment travel priority classification, and generate a construction equipment travel priority sequence.

4. The highway maintenance construction progress management method according to claim 3 is characterized in that: The steps for obtaining the construction equipment operation intensity parameter are as follows: S201: calling the construction equipment passage priority sequence, obtaining the data of the road wear sensor, friction test device, and surface peeling monitoring equipment in the construction area, extracting the road friction coefficient, surface crack distribution, peeling rate, and load-bearing stress change of the detection point, calculating the average load-bearing stress change rate of the road section, screening the road section where the load-bearing stress fluctuation exceeds the benchmark value, and obtaining the differentiated wear interval; S202: Based on the differentiated wear interval, the workload of the construction equipment on the corresponding road section is calculated, the equipment type, load distribution and equipment frequency are called, and the load impact per unit operating area of ​​the construction equipment is calculated using the formula: Calculate the equipment workload, adjust the material laying thickness and compaction equipment pressure, and obtain the construction machinery adjustment parameters; among them, L d represents the equipment workload, F R represents the load of the construction equipment on the R section, A R Represents the operation area of ​​the Rth section, T R Represents the construction time of the equipment in the area, N s Represents the total number of construction equipment in the construction area, C f Represents the friction coefficient of the construction road surface; S203: Call the construction machinery adjustment parameters, adjust the operation frequency of the construction machinery based on the operation intensity requirements of the differentiated equipment, calculate the operation power requirements of the construction equipment in combination with the equipment load distribution, optimize the operation rhythm of the construction equipment, and establish the operation intensity parameters of the construction equipment.

5. The highway maintenance construction progress management method according to claim 4 is characterized in that: The steps for obtaining the process adjustment time offset value are as follows: S301: calling the construction equipment operation intensity parameter, obtaining the construction process operation time data, extracting the process connection sequence, equipment sharing degree, and construction area overlap, calculating the time distribution between differentiated construction processes, calculating the time dependency index between processes based on the construction area overlap, screening the process objects with cross-influence of construction time, and obtaining the cross-influence process group; S302: Based on the cross-affecting process group, calculate the time offset of the process, call the time dependency index, calculate the impact range of the time offset on the process, select the adjustable process, calculate the time conflict correction amount, and use the formula: S303: Call the process adjustment parameters, calculate the process connection matching degree based on the time distribution after the process adjustment, select the construction progress matching adjustment strategy, optimize the process execution sequence, and establish the process adjustment time offset value.

6. The highway maintenance construction progress management method according to claim 5, characterized in that: The steps for obtaining the construction error correction amount are as follows: S401: calling the process adjustment time offset value, obtaining the actual execution time of the construction task node, extracting the process offset, error accumulation trend, and job completion deviation, calculating the process time error ratio, screening the error impact range, verifying the error critical interval affected by the process, and obtaining the construction error impact interval; S402: Based on the construction error impact interval, calculate the time error correction factor of each process, call the error accumulation trend and operation completion deviation data, analyze the cumulative impact of time offset on subsequent processes, and quantify the construction progress adjustment requirements by building an error propagation mechanism. The formula is: Calculate the error correction factor; according to the correction factor value and the construction error correction rule, adjust the equipment operation sequence of the affected process to obtain the construction equipment operation adjustment parameters; Where η represents the error correction factor, T ai represents the actual completion time of the i-th process, T pi represents the planned completion time of the i-th process, ω i Represents the weight of the process's impact on the overall construction progress, E j and S j are the end time and start time of the jth process, respectively, j is the error propagation influence coefficient of the process in the construction cycle; S403: calling the construction equipment operation adjustment parameters, calculating the operation time distribution after the construction error correction, optimizing the construction equipment operation sequence, calculating the corrected time connection matching degree of the process, and establishing the construction error correction amount.

7. The highway maintenance construction progress management method according to claim 6, characterized in that: The steps for obtaining the construction progress optimization and adjustment plan are as follows: S501: calling the construction error correction amount, obtaining construction task execution data, extracting progress deviation trend, equipment usage time, and job completion rate, calculating the progress adjustment requirements of the construction task, and screening the equipment to be adjusted based on the equipment usage time and job completion rate to obtain equipment scheduling adjustment parameters; S502: Based on the equipment scheduling adjustment parameters, calculate the impact of the equipment scheduling adjustment on the construction progress, call the progress deviation trend, and calculate the optimization amount of the construction task time distribution, using the formula: Calculate the construction schedule optimization parameters, match the construction schedule optimization plan, adjust the execution time of the construction tasks, and obtain the construction plan adjustment parameters; Among them, P l represents the construction progress optimization parameter, T cV Represents the current execution time of the construction task V, T pV represents the planned execution time of construction task V, W qV represents the impact weight of construction task V on the overall progress matching, R pV Represents the impact factor of progress deviation on the task; S503: calling the construction plan adjustment parameters, calculating the time distribution after the construction progress is optimized, revising the construction execution plan, adjusting the equipment scheduling sequence, and establishing a construction progress optimization adjustment plan.

8. Highway maintenance construction progress management system, characterized by: The system is used to execute the highway maintenance construction progress management method according to any one of claims 1 to 7, comprising: The traffic monitoring and traffic optimization module obtains data from traffic monitoring sensors, drone cruises, and road cameras, extracts road traffic density, driving speed, traffic stability, and road congestion index, calculates equipment travel time, traffic matching, and equipment scheduling sequence, and generates a construction equipment traffic priority sequence; The equipment operation intensity matching module calls the construction equipment passage priority sequence, obtains the data of the road wear sensor, the friction test device, and the surface peeling monitoring device, extracts the road friction coefficient, crack distribution, peeling rate, and load-bearing stress changes, adjusts the material laying thickness, compaction equipment pressure, and construction machinery frequency, and generates construction equipment operation intensity parameters; The process connection optimization module calls the construction equipment operation intensity parameters, obtains process operation time data, extracts process connection sequence, equipment sharing degree, construction area overlap, calculates time dependency index, screens cross-influenced process objects, calculates time offset impact range, matches adjustable processes, calculates conflict corrections, adjusts process execution time and equipment alternating sequence, screens construction progress matching adjustment strategies, calculates process connection matching degree, optimizes process execution order, and generates process adjustment time offset values; The construction error correction module calls the process adjustment time offset value, obtains the construction task execution time, extracts the process offset, error accumulation trend, and operation completion deviation, calculates the error correction factor, adjusts the operation sequence of the construction equipment, matches the construction error correction rules, and generates the construction error correction amount; The construction progress adjustment module calls the construction error correction amount, obtains the construction task execution data, extracts the progress deviation trend, equipment usage time, and job completion rate, calculates the equipment scheduling adjustment parameters, matches the construction progress optimization plan, corrects the construction execution plan, and generates the construction progress optimization adjustment plan.

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