Intelligent road construction control system and method

Abstract

The invention relates to the technical field of resource management, in particular to an intelligent road construction control system and method, and the system comprises a resource distribution optimization module which carries out the statistics of equipment working hours and task demands of subarea road sections based on pavement materials and construction equipment, matches the available working hours and task demands of the equipment, and calculates a manual working hour distribution difference value; and comparing the equipment availability with the manual availability. According to the invention, by matching the working hours and task requirements of pavement materials and construction equipment, optimizing resource allocation, reducing resource waste and redundancy, adjusting the working time between tasks and the resource utilization rate sequence, preferentially meeting the key task requirements, improving the task execution efficiency, and evaluating the material supply period and the equipment allocation conflict; task intervals and equipment plans are dynamically adjusted, delay caused by insufficient resources is reduced, task coordination is optimized in combination with time nodes and equipment distribution, environment change and equipment deviation are monitored, task and resource allocation is adjusted in real time, and construction efficiency and continuity are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of resource management, and in particular to an intelligent road construction control system and method. Background Art

[0002] The field of resource management technology covers various systems and methods used to effectively allocate and utilize resources to support various operational activities. This usually includes but is not limited to the allocation of human resources, financial resources, materials, and equipment. The application of technology in this area aims to optimize resource use, reduce waste, improve efficiency, and ensure that projects and activities can be successfully completed within the scheduled time and budget. Modern resource management technology also often incorporates intelligent algorithms and data analysis functions to achieve more dynamic and responsive resource allocation.

[0003] Among them, the intelligent road construction control system refers to a system that integrates advanced computing technology and automation tools to manage and control the resources of road construction projects. The system automatically adjusts resource allocation and optimizes the construction process through real-time data collection and analysis, reduces delays and costs during construction, and improves construction efficiency and safety. The uses of such systems include monitoring construction progress, predicting potential problems, and ensuring that construction activities comply with plans and standards.

[0004] Existing technologies lack the ability to dynamically adjust resource allocation, making it difficult to deal with resource conflicts caused by delayed material supply or equipment anomalies. Task sorting ignores the coordination between start intervals and resource utilization, resulting in non-critical tasks occupying resources or delays in critical tasks. Equipment allocation conflicts in construction progress management cannot be evaluated in real time, making it difficult to adjust task intervals to ensure progress. Insufficient environmental monitoring and equipment status response capabilities increase the risk of construction interruption, which in turn leads to reduced efficiency and increased costs. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent road construction control system and method.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent road construction control system comprises: The resource allocation optimization module is based on pavement materials and construction equipment. It counts the equipment hours and task requirements of the divided road sections, matches the available equipment hours with the task requirements, calculates the difference in labor hours allocation, compares the equipment and labor availability, and generates the equipment allocation results for the road sections. The task priority adjustment module calculates the start time and task interval of the key section tasks based on the section equipment allocation result, sorts the priority calling order of mechanical working hours and manual working hours, calculates the task resource utilization rate and task interval weight, and generates the key section task sorting result; The dynamic constraint evaluation module calculates the pavement material supply cycle and the construction equipment working hours based on the task sorting results of the key road section, calibrates the equipment allocation time conflict and resource shortage tasks, adjusts the task execution interval, and generates a task constraint adjustment parameter set; The construction progress optimization module is based on the task constraint adjustment parameter set, counts the distribution difference between the construction section time node and the task, matches the resource utilization rate and the equipment available time, calculates the adjustment range of the task and the time node, reorganizes the task time and the equipment resource distribution, and generates the section construction schedule; The real-time emergency response module is based on the construction progress plan of the road section, monitors the environmental changes and equipment operating status of the construction section, calculates the deviation between task time and environmental changes, counts equipment working hours and material remaining, adjusts equipment deployment and time nodes, and generates construction offset correction results.

[0007] The equipment allocation results of the road section include the equipment working time allocation ratio, the labor working time matching results, and the analysis of the difference between equipment and task requirements. The task sorting results of the key section include the key section task priority, task resource utilization efficiency, and task interval optimization order. The task constraint adjustment parameter set includes equipment deployment time parameters, resource-deficient task identification, and task execution interval correction value. The road section construction schedule includes construction time node arrangement, equipment resource allocation plan, and task execution time adjustment. The construction offset correction results include equipment operation status adjustment, construction time deviation correction, and material remaining balance parameters.

[0008] As a further solution of the present invention, the step of obtaining the road section equipment allocation result is specifically: Collect the task requirements and equipment working hours of the partitioned sections, comprehensively count the available working hours of multi-partitioned equipment, and the matching degree with the task requirements, and calculate the deviation between the total equipment working hours and the task requirements to generate the equipment working hours deviation set; Analyze the equipment working time deviation set, adjust the working time allocation of equipment and labor according to the availability of labor resources, and establish a labor and equipment working time adjustment set; Based on the labor and equipment time adjustment set, the formula is used: ; Compare equipment and manual allocation to obtain the equipment allocation results for the road section; in, Indicates the deviation of time allocation between equipment and labor. Representative The task requirements of each partition, Represents the available working hours of the corresponding equipment. represents the adjustment factor, is the total number of partitions, is a weight parameter that adjusts the sensitivity of equipment allocation deviation to task requirements, is the adjustment coefficient, which controls the basic deviation of the allocation process, It is a tuning parameter that reflects the impact of the number of partitions on allocation flexibility.

[0009] As a further solution of the present invention, the step of obtaining the key section task ranking result is specifically as follows: According to the equipment allocation results of the road sections, the resource configuration of each key road section is analyzed, the starting working time is calculated, and the optimal task sequence is predicted by using the resource optimization algorithm to generate a start timetable for each key road section; By using the construction schedule of each key section, the priority sorting model is used to sort the priority of mechanical and human resources, and the time allocation of mechanical and human resources is adjusted according to the urgency of the task to establish a task priority list; Using the task priority list and combining the interval requirements in actual task execution, the resource utilization formula is adopted: ; Calculate the task resource utilization and task interval weight of key sections, and generate the task sorting results of key sections; in, Representative The priority of each task, represents the interval weight of the task, is the time required for the task, is the environmental factor adjustment coefficient, is the total number of tasks, Indicates the resource utilization of the task.

[0010] As a further solution of the present invention, the step of obtaining the task constraint adjustment parameter set is specifically as follows: Extracting the start time and material cycle of each task from the key section task sorting results, analyzing equipment usage, applying a resource allocation algorithm to determine the resource requirements of each task, and generating a resource requirement analysis result; According to the resource demand analysis results, mark all time conflicts of resource supply and demand as well as conflicts and resource shortages occurring in equipment allocation, and create a conflict and shortage index table; Using the conflict and shortage index table, recalculate the execution interval of each task using the formula: ; Optimize the task execution plan and generate a set of task constraint adjustment parameters; in, It is the conflict factor of coordination. is the total number of tasks, represents the task resource utilization, The resource requirements for each task, For the resource supply cycle.

[0011] As a further solution of the present invention, the steps for obtaining the road section construction schedule are specifically as follows: Extracting the distribution difference between the time nodes and tasks of the construction section from the task constraint adjustment parameter set, analyzing the task execution sequence and resource utilization efficiency based on the comparison between the task time and resource distribution, and generating a distribution table of the time nodes and task differences; By using the time node and task difference distribution table, resource utilization and equipment available time are matched, and based on the matching analysis of resource allocation and task requirements, time conflict and resource shortage tasks are calibrated, and resource conflict and resource shortage task results are created; Based on the resource conflicts and insufficient task results, the adjustment range and time node correction value of task execution are calculated using the formula: ; Optimize task time distribution and generate road section construction schedule; in, is the adjusted time node, Indicates The resource utilization of each task, is the task priority weight, The original planned time node, is the task adjustment factor, Represents the total number of tasks, indicating the total number of tasks that need to be adjusted.

[0012] As a further solution of the present invention, the steps of obtaining the construction offset correction result are specifically as follows: Extract monitoring data from the construction schedule of the road section, including environmental changes of the construction section and equipment operating status, combine the task time nodes, use data analysis methods to determine the impact of the environment and equipment status on the construction progress, and generate environmental and equipment status analysis results; Using the environmental and equipment status analysis results, calculate the deviation between task time and environmental changes, and count the working hours and material remaining of each equipment. Through quantitative analysis methods, calibrate the equipment deployment and time nodes that need to be adjusted, and create a task and environment deviation table; Based on the task and environment deviation table, adjust the equipment deployment and time nodes to match the actual construction environment changes, using the formula: ; Optimize task allocation and generate construction offset correction results; in, represents the overall adjustment efficiency, Indicates The time deviation of each task, The operating efficiency of the equipment associated with the task, It is the original planned working hours. Represents the global adjustment coefficient, which is used to correct the time deviation caused by environmental changes. is the number of tasks.

[0013] An intelligent road construction control method is implemented based on the intelligent road construction control system, comprising the following steps: S1: Based on the working time records of pavement materials and construction equipment, the task requirements and equipment working hours of the divided sections are counted, the equipment working hours are matched with the task requirements, the difference in labor working hours is calculated, the equipment and labor availability are compared item by item, and the equipment resource allocation table of the section is generated; S2: Based on the road section equipment resource allocation table, calculate the start time and task interval of key road section tasks, sort the calling order of mechanical working hours and manual working hours, count the task resource utilization rate and interval weight, and generate a key road section task priority table by combining the statistical data and the calling order; S3: Based on the task priority table of the key road section, the pavement material supply cycle and the construction equipment working hours are calculated, the equipment deployment time conflict is calibrated, and the task execution interval is adjusted in combination with the deployment time and the resource shortage task distribution, and a task execution constraint parameter set is established; S4: Based on the task execution constraint parameter set, count the difference between the construction section time node and the task distribution, pair resource utilization and equipment time, adjust the task and time node range, reorganize the equipment resource distribution, obtain the optimized section construction schedule, monitor environmental changes and equipment operating status, calculate the deviation between task time and environmental changes, count the equipment working hours and material remaining, adjust the equipment deployment and time nodes, and generate the construction offset correction result.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by matching the working hours and task requirements of pavement materials and construction equipment, resource allocation is optimized to reduce resource waste and redundancy. The start time and resource utilization ranking between tasks are adjusted to give priority to meeting the requirements of key tasks and improve task execution efficiency. The material supply cycle and equipment allocation conflicts are evaluated, and task intervals and equipment plans are dynamically adjusted to reduce delays caused by insufficient resources. Task coordination is optimized by combining time nodes and equipment distribution, monitoring environmental changes and equipment deviations, and adjusting tasks and resource allocation in real time to improve construction efficiency and continuity. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is a system flow chart of the present invention; Figure 2 A flowchart of the steps for obtaining the results of the road section equipment allocation of the present invention; Figure 3 A flowchart of the steps for obtaining the key section task sorting results of the present invention; Figure 4 A flow chart of the steps for obtaining the task constraint adjustment parameter set of the present invention; Figure 5 A flowchart of the steps for obtaining the road section construction schedule of the present invention; Figure 6 This is a flow chart of the steps for obtaining the construction offset correction results of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended to limit the present invention.

[0017] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are 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 cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0018] Example 1: Please refer to Figure 1 The present invention provides a technical solution: an intelligent road construction control system comprising: The resource allocation optimization module is based on pavement materials and construction equipment. It counts the equipment hours and task requirements of the divided road sections, matches the available equipment hours with the task requirements, calculates the difference in labor hours allocation, compares the equipment and labor availability, and generates the equipment allocation results for the road sections. The task priority adjustment module calculates the start time and task interval of key section tasks based on the results of road section equipment allocation, sorts the priority call order of mechanical hours and manual hours, calculates the task resource utilization rate and task interval weight, and generates the key section task sorting results; The dynamic constraint evaluation module calculates the pavement material supply cycle and construction equipment working hours based on the task sorting results of key sections, calibrates equipment allocation time conflicts and resource shortage tasks, adjusts task execution intervals, and generates task constraint adjustment parameter sets; The construction schedule optimization module adjusts the parameter set based on the task constraints, counts the distribution difference between the time nodes and tasks of the construction section, matches the resource utilization rate with the equipment available time, calculates the adjustment range of tasks and time nodes, reorganizes the task time and equipment resource distribution, and generates the construction schedule of the section; The real-time emergency response module is based on the construction progress plan of the road section, monitors the environmental changes and equipment operating status of the construction section, calculates the deviation between task time and environmental changes, counts equipment working hours and remaining materials, adjusts equipment deployment and time nodes, and generates construction offset correction results.

[0019] The results of equipment allocation for road sections include equipment working time allocation ratio, labor working time matching results, and analysis of differences between equipment and task requirements. The results of task sorting for key road sections include key section task priority, task resource utilization efficiency, and task interval optimization sequence. The task constraint adjustment parameter set includes equipment deployment time parameters, resource-deficient task identification, and task execution interval correction value. The road section construction schedule includes construction time node arrangement, equipment resource allocation plan, and task execution time adjustment. The construction offset correction results include equipment operation status adjustment, construction time deviation correction, and material remaining balance parameters.

[0020] See also Figure 2 , the specific steps for obtaining the results of road section equipment allocation are as follows: Collect the task requirements and equipment working hours of the partitioned sections, comprehensively count the available working hours of multi-partitioned equipment, and the matching degree with the task requirements, and calculate the deviation between the total equipment working hours and the task requirements to generate the equipment working hours deviation set; The real-time monitoring system obtains equipment working time data, including the startup time and failure time records of each device. These data are transmitted to the central data processing center in real time through the on-site data collector. The data processing center uses a preset algorithm to clean and preliminarily analyze the data, calculate the actual available working hours of each device, and statistically analyze the working time utilization rate and task completion rate of each device. By comparing the working time data of each device with the task requirement data, the optimal path for working time utilization is analyzed, the deviation between the total working hours of the equipment and the task requirement is calculated, and the equipment working time deviation set is generated.

[0021] Analyze the equipment working time deviation set, adjust the equipment and labor working time allocation according to the availability of labor resources, and establish the labor and equipment working time adjustment set; Analyze the equipment working time deviation set and conduct a detailed analysis of the equipment working time deviation through the equipment scheduling system. The system updates the equipment status and task progress based on real-time data, monitors the working time deviation of each equipment in real time, and adjusts the equipment working time in real time through dynamic adjustment algorithms to match the availability of labor resources to ensure the optimal match between equipment use and labor allocation. In addition, the system predicts the maintenance and failure time of the equipment based on historical data to optimize the overall coordination of labor and equipment, thereby establishing a comprehensive labor and equipment working time adjustment set.

[0022] According to the labor and equipment hours adjustment set, the formula is used: ; Compare equipment and manual allocation to obtain the equipment allocation results for the road section; in, Indicates the deviation of time allocation between equipment and labor. Representative The task requirements of each partition, Represents the available working hours of the corresponding equipment. represents the adjustment factor, is the total number of partitions, is a weight parameter that adjusts the sensitivity of equipment allocation deviation to task requirements, is the adjustment coefficient, which controls the basic deviation of the allocation process, It is a tuning parameter that reflects the impact of the number of partitions on allocation flexibility.

[0023] formula: ; The benefit of the formula is that by considering the deviation between the task requirements and available working hours of each partition equipment and introducing an adjustment coefficient to balance the impact of the deviation, the impact of the deviation on the overall allocation result can be flexibly adjusted to improve the accuracy and efficiency of equipment and labor resource allocation.

[0024] Detailed explanation of the formula and the process of formula calculation and derivation: Set the specific value to: Hours (task requirements), Hours (equipment available working hours), (Adjustment factor), (total number of partitions), The calculation steps are as follows: 1. Calculate the deviation ratio of a single partition: ; 2. Multiply the deviation ratio by the adjustment factor: ; 3. Sum all partitions: ; The result shows that the overall equipment and labor resource allocation deviation is 66.65, which can be used as a reference for adjusting the labor and equipment allocation strategy to achieve more efficient resource utilization.

[0025] See also Figure 3 ,The specific steps for obtaining the ranking results of key road section tasks are as follows: According to the results of equipment allocation for each key section, the resource allocation of each key section is analyzed, the start working time is calculated, and the optimal task sequence is predicted using the resource optimization algorithm to generate a start timetable for each key section; Based on the results of equipment allocation for each section, the resource allocation of each key section is analyzed in detail to ensure that each section has the required machinery and human resources before the planned start of construction. Through the resource optimization algorithm, the best task sequence is predicted to reduce waiting time and improve work efficiency. The prediction model obtains the start time of each task based on previous data analysis, so as to accurately arrange the work sequence. The optimization process includes evaluating the specific resource requirements of each task, considering the geographical location, task complexity and urgency, and using these factors as input parameters to determine the optimal resource allocation and task start time through linear programming methods. The generated start schedule provides a basis for subsequent steps.

[0026] Through the construction schedule of each key section, the priority sorting model is used to prioritize the mechanical and human resources, and the allocation of mechanical and human time is adjusted according to the urgency of the task to establish a task priority list; Through the start-up schedule, mechanical and manual resources are sorted using a priority sorting model. The model is dynamically adjusted based on the urgency of the task and the availability of resources. This process includes collecting real-time data on the current status of various resources, such as equipment availability, manual skill level and performance. This data is automatically collected and updated through IoT devices to ensure the timeliness and accuracy of the data. During the sorting process, it is also necessary to evaluate the impact of resource scheduling on the project schedule to minimize task delays and costs, and prioritize resources that can maximize utilization and productivity to ensure the smooth completion of tasks.

[0027] Using the task priority list and combining the interval requirements in actual task execution, the resource utilization formula is adopted: ; Calculate the task resource utilization and task interval weight of key sections, and generate the task sorting results of key sections; in, Representative The priority of each task, represents the interval weight of the task, is the time required for the task, is the environmental factor adjustment coefficient, is the total number of tasks, Indicates the resource utilization of the task.

[0028] formula: ; The formula is useful in that it combines task priorities and task interval weights , adjust the weight of each task and assign tasks according to the time required and environmental factor adjustment factor , which maximizes the resource utilization of the entire system. The formula allows project managers to flexibly adjust task plans under different environmental conditions, thereby improving efficiency.

[0029] Detailed explanation of the formula and the process of formula calculation and derivation: Assume there are three tasks, task priority , task interval weight , the time required for the task , Environmental factor adjustment coefficient , Calculate the numerator: ; Calculate the denominator: ; ; The result shows that the resource utilization rate after comprehensively considering the priority and interval weight is about 27.1%. This value reflects the effectiveness of resource allocation. How to further organize this result depends on the analysis of specific projects and the actual allocation of resources.

[0030] See also Figure 4 ,The specific steps for obtaining the task constraint adjustment parameter set are: Extract the start time and material cycle of each task from the key section task sorting results, analyze the equipment usage, apply the resource allocation algorithm to determine the resource requirements of each task, and generate resource requirement analysis results; Based on the start time and material cycle of the key section task sorting results, we first collected the specific requirements and material usage cycle of each task, analyzed the equipment usage and the existing allocation plan, and then used the resource allocation algorithm to analyze the material usage and equipment work plan, optimized the equipment usage efficiency and material supply schedule, and improved resource utilization by adjusting the material usage of each task and the equipment work plan, generating resource demand analysis results. This analysis result provides data support and strategic direction for the next step of task allocation and resource planning.

[0031] Based on the results of resource demand analysis, mark all time conflicts between resource supply and demand, as well as conflicts and resource shortages in equipment allocation, and create a conflict and shortage index table; After completing the resource demand analysis, further mark all time conflicts and resource shortages, especially those critical equipment that may cause significant delays during peak periods. This includes a specific analysis of equipment shortages during high-demand periods. By establishing detailed conflict and shortage index tables, a basis for deployment decisions is provided. These index tables list in detail the specific problems that may be encountered in resource allocation for each task, as well as high-risk areas that require additional attention.

[0032] Using the conflict and shortage index tables, recalculate the execution interval of each task using the formula: ; Optimize the task execution plan and generate a set of task constraint adjustment parameters; in, It is the conflict factor of coordination. is the total number of tasks, represents the task resource utilization, The resource requirements for each task, For the resource supply cycle.

[0033] formula: ; The benefit of the formula is that it optimizes the efficiency of task execution and resource utilization by adjusting the time intervals between tasks and resource allocation, and can effectively balance resource supply and demand, especially when resources are limited and time is tight.

[0034] Detailed explanation of the formula and the process of formula calculation and derivation: Assume there are three tasks, the resource requirements of each task are They are 20, 30, 25 respectively, supply cycle Adjust the conflict factor for 5 days, 3 days, and 4 days They are 2, 1, and 3 respectively. The resource utilization of each task is calculated as follows: Task 1: ; Task 2: ; Task 3: ; Then calculate the average resource utilization: ; The results show that by adjusting the time intervals and resource allocation of task execution, the system can optimize resource utilization among different tasks and ensure the continuous operation and efficiency improvement of the project.

[0035] See also Figure 5 , the specific steps for obtaining the road section construction schedule are: Extract the distribution difference between the time nodes and tasks of the construction section from the task constraint adjustment parameter set, analyze the task execution sequence and resource utilization efficiency based on the comparison of task time and resource distribution, and generate a distribution table of time nodes and task differences; Based on the time node and task difference distribution table, the table clearly shows the start time and required resources of each task. Through comprehensive analysis of the data in the table, the time difference and resource allocation between tasks are determined. This process involves detailed time calculation and resource comparison to determine which tasks will need to adjust the time nodes due to insufficient resources, so as to ensure that all tasks are properly arranged within the scope of resources. By adjusting the time nodes, resource waste and time conflicts can be effectively avoided, thereby achieving smooth progress of the construction section work and ensuring that each task can be executed in the planned order. This method not only improves the efficiency of resource utilization, but also ensures the possibility of project completion on schedule.

[0036] Use the time node and task difference distribution table to match resource utilization and equipment available time, calibrate time conflict and resource shortage tasks based on the matching analysis of resource allocation and task requirements, and create resource conflict and shortage task results; Extract key data from the resource conflict and shortage task results, which record in detail the resource shortages and time allocation problems that may be encountered during the execution of each construction task. By analyzing these data, it can be determined which tasks are most urgent and need to be prioritized for resource allocation. At the same time, the results also help the construction team foresee potential problems, allowing them to make plan adjustments in advance to prevent shutdowns or waste of resources during the construction process. This early warning mechanism is achieved by comparing the available time of resources and equipment required for each task, ensuring that each construction stage can obtain the necessary resource support, thereby effectively improving construction efficiency and reducing costs.

[0037] Based on the resource conflicts and insufficient task results, the adjustment range and time node correction value of task execution are calculated using the formula: ; Optimize task time distribution and generate road section construction schedule; in, is the adjusted time node, Indicates The resource utilization of each task, is the task priority weight, The original planned time node, is the task adjustment factor, Represents the total number of tasks, indicating the total number of tasks that need to be adjusted.

[0038] formula: ; The benefit of the formula is that, by considering the resource utilization and priority weight of each task and combining it with the time adjustment factor, it can optimize the timing of tasks, ensure the most efficient use of resources, and reduce the time wasted due to improper resource allocation.

[0039] Detailed explanation of the formula and the process of formula calculation and derivation: Suppose there are three tasks, , , Hours, adjustment factor , the second task , , Hour, , the third task , , Hour, , the formula is: ; ; ; ; ; The results show that after optimization and adjustment, the total time node adjustment value is 1.447, which means that all tasks can be completed within this adjusted time node after considering resource efficiency and priority weights. This calculation method effectively balances the urgency of tasks and the availability of resources.

[0040] See also Figure 6 , the specific steps for obtaining the construction offset correction results are: Extract monitoring data from the construction schedule of the road section, including environmental changes and equipment operating status of the construction section, combine the task time nodes, use data analysis methods to determine the impact of the environment and equipment status on the construction progress, and generate environmental and equipment status analysis results; The data is acquired in real time through sensors and monitoring equipment. It covers environmental indicators such as temperature, humidity, noise, and the operating conditions of various mechanical equipment such as startup time, shutdown time, and failure rate. Data analysis software is used to preliminarily screen and process these data to exclude obvious outliers or erroneous data, such as data points with abnormally high or low temperatures, equipment failure data, etc., to analyze how these data affect the construction progress and safety, and use algorithm models to calculate the specific impact of environmental factors on the construction progress. The results of the environment and equipment status analysis are generated to provide data support for the next step of construction adjustments.

[0041] Using the results of the environment and equipment status analysis, calculate the deviation between the task time and the environment change, and count the working hours and remaining materials of each equipment. Through quantitative analysis methods, calibrate the equipment deployment and time nodes that need to be adjusted, and create a task and environment deviation table; Using the results of the environment and equipment status analysis, we continue to calculate the deviation between task time and environmental changes. By comparing the time nodes in actual construction with environmental records, we identify the time periods that deviate greatly from the plan, and then count the actual working hours and remaining material volume of each device. This statistic involves parsing the operation log of each device, including startup, operation and downtime, as well as monitoring data on material consumption rate. Based on these data, we use statistical analysis software to fuse and process the data, and derive the resource utilization rate of each task and the time efficiency of equipment scheduling, providing a basis for the final adjustment of equipment and time nodes.

[0042] Based on the task and environment deviation table, adjust the equipment deployment and time nodes to match the actual construction environment changes, using the formula: ; Optimize task allocation and generate construction offset correction results; in, represents the overall adjustment efficiency, Indicates The time deviation of each task, The operating efficiency of the equipment associated with the task, It is the original planned working hours. Represents the global adjustment coefficient, which is used to correct the time deviation caused by environmental changes. is the number of tasks.

[0043] formula: ; The benefit of the formula is that it optimizes construction deployment, reduces resource waste and improves construction efficiency by taking into account actual data on environmental factors and equipment efficiency.

[0044] Detailed explanation of the formula and the process of formula calculation and derivation: Assume that in actual construction, known environmental factors such as temperature changes can reduce work efficiency by ,Equipment operation efficiency , originally planned working hours Hours, adjustment factor . Plugging these values ​​into the formula, the calculation works like this: ; The results show that under the current environment and equipment conditions, the adjusted work efficiency is approximately 1.14%, suggesting that construction managers need to further adjust their strategies to improve efficiency.

[0045] An intelligent road construction control method is implemented based on the intelligent road construction control system, and comprises the following steps: S1: Based on the working time records of pavement materials and construction equipment, the task requirements and equipment working hours of the divided sections are counted, the equipment working hours are matched with the task requirements, the difference in labor working hours is calculated, the equipment and labor availability are compared item by item, and the equipment resource allocation table of the section is generated; S2: Based on the road section equipment resource allocation table, calculate the start time and task interval of key road section tasks, sort the calling order of mechanical working hours and manual working hours, count the task resource utilization rate and interval weight, and generate the key road section task priority table by combining the statistical data and calling order; S3: Based on the task priority table of key sections, calculate the pavement material supply cycle and construction equipment working hours, calibrate the equipment deployment time conflict, combine the deployment time and resource shortage task distribution, adjust the task execution interval, and establish the task execution constraint parameter set; S4: Based on the task execution constraint parameter set, count the difference between the construction section time node and the task distribution, pair resource utilization and equipment time, adjust the task and time node range, reorganize the equipment resource distribution, obtain the optimized construction schedule of the section, monitor environmental changes and equipment operating status, calculate the deviation between task time and environmental changes, count the equipment working hours and the remaining material, adjust the equipment deployment and time nodes, and generate the construction offset correction result.

[0046] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent road construction control system, characterized in that: The system comprises: The resource allocation optimization module is based on pavement materials and construction equipment. It counts the equipment hours and task requirements of the divided road sections, matches the available equipment hours with the task requirements, calculates the difference in labor hours allocation, compares the equipment and labor availability, and generates the equipment allocation results for the road sections. The task priority adjustment module calculates the start time and task interval of the key section tasks based on the section equipment allocation result, sorts the priority calling order of mechanical working hours and manual working hours, calculates the task resource utilization rate and task interval weight, and generates the key section task sorting result; The dynamic constraint evaluation module calculates the pavement material supply cycle and the construction equipment working hours based on the task sorting results of the key road section, calibrates the equipment allocation time conflict and resource shortage tasks, adjusts the task execution interval, and generates a task constraint adjustment parameter set; The construction progress optimization module is based on the task constraint adjustment parameter set, counts the distribution difference between the construction section time node and the task, matches the resource utilization rate and the equipment available time, calculates the adjustment range of the task and the time node, reorganizes the task time and the equipment resource distribution, and generates the section construction schedule; The real-time emergency response module is based on the construction progress plan of the road section, monitors the environmental changes and equipment operating status of the construction section, calculates the deviation between task time and environmental changes, counts equipment working hours and material remaining, adjusts equipment deployment and time nodes, and generates construction offset correction results.

2. The intelligent road construction control system according to claim 1 is characterized in that: The equipment allocation results of the road section include the equipment working time allocation ratio, the labor working time matching results, and the analysis of the difference between equipment and task requirements. The task sorting results of the key section include the key section task priority, task resource utilization efficiency, and task interval optimization order. The task constraint adjustment parameter set includes equipment deployment time parameters, resource-deficient task identification, and task execution interval correction value. The road section construction schedule includes construction time node arrangement, equipment resource allocation plan, and task execution time adjustment. The construction offset correction results include equipment operation status adjustment, construction time deviation correction, and material remaining balance parameters.

3. The intelligent road construction control system according to claim 2 is characterized in that: The steps for obtaining the road section equipment allocation result are specifically as follows: Collect the task requirements and equipment working hours of the partitioned sections, comprehensively count the available working hours of multi-partitioned equipment, and the matching degree with the task requirements, and calculate the deviation between the total equipment working hours and the task requirements to generate the equipment working hours deviation set; Analyze the equipment working time deviation set, adjust the working time allocation of equipment and labor according to the availability of labor resources, and establish a labor and equipment working time adjustment set; Based on the labor and equipment time adjustment set, the formula is used: ； Compare equipment and manual allocation to obtain the equipment allocation results for the road section; in, Indicates the deviation of time allocation between equipment and labor. Representative The task requirements of each partition, Represents the available working hours of the corresponding equipment. represents the adjustment factor, is the total number of partitions, is a weight parameter that adjusts the sensitivity of equipment allocation deviation to task requirements, is the adjustment coefficient, which controls the basic deviation of the allocation process, It is a tuning parameter that reflects the impact of the number of partitions on allocation flexibility.

4. The intelligent road construction control system according to claim 3 is characterized in that: The steps for obtaining the ranking results of the key road section tasks are specifically as follows: According to the equipment allocation results of the road sections, the resource configuration of each key road section is analyzed, the starting working time is calculated, and the optimal task sequence is predicted by using the resource optimization algorithm to generate a start timetable for each key road section; By using the construction schedule of each key section, the priority sorting model is used to sort the priority of mechanical and human resources, and the time allocation of mechanical and human resources is adjusted according to the urgency of the task to establish a task priority list; Using the task priority list and combining the interval requirements in actual task execution, the resource utilization formula is adopted: ； Calculate the task resource utilization and task interval weight of key sections, and generate the task sorting results of key sections; in, Representative The priority of each task, represents the interval weight of the task, is the time required for the task, is the environmental factor adjustment coefficient, is the total number of tasks, Indicates the resource utilization of the task.

5. The intelligent road construction control system according to claim 4 is characterized in that: The steps for obtaining the task constraint adjustment parameter set are specifically as follows: Extracting the start time and material cycle of each task from the key section task sorting results, analyzing equipment usage, applying a resource allocation algorithm to determine the resource requirements of each task, and generating a resource requirement analysis result; According to the resource demand analysis results, mark all time conflicts of resource supply and demand as well as conflicts and resource shortages occurring in equipment allocation, and create a conflict and shortage index table; Using the conflict and shortage index table, recalculate the execution interval of each task using the formula: ； Optimize the task execution plan and generate a set of task constraint adjustment parameters; in, It is the conflict factor of coordination. is the total number of tasks, represents the task resource utilization, The resource requirements for each task, For the resource supply cycle.

6. The intelligent road construction control system according to claim 5, characterized in that: The specific steps for obtaining the construction schedule of the road section are as follows: Extracting the distribution difference between the time nodes and tasks of the construction section from the task constraint adjustment parameter set, analyzing the task execution sequence and resource utilization efficiency based on the comparison between the task time and resource distribution, and generating a distribution table of the time nodes and task differences; By using the time node and task difference distribution table, resource utilization and equipment available time are matched, and based on the matching analysis of resource allocation and task requirements, time conflict and resource shortage tasks are calibrated, and resource conflict and resource shortage task results are created; Based on the resource conflicts and insufficient task results, the adjustment range and time node correction value of task execution are calculated using the formula: ； Optimize task time distribution and generate road section construction schedule; in, is the adjusted time node, Indicates The resource utilization of each task, is the task priority weight, The original planned time node, is the task adjustment factor, Represents the total number of tasks, indicating the total number of tasks that need to be adjusted.

7. The intelligent road construction control system according to claim 6, characterized in that: The steps for obtaining the construction offset correction result are specifically as follows: Extract monitoring data from the construction schedule of the road section, including environmental changes of the construction section and equipment operating status, combine the task time nodes, use data analysis methods to determine the impact of the environment and equipment status on the construction progress, and generate environmental and equipment status analysis results; Using the environmental and equipment status analysis results, calculate the deviation between task time and environmental changes, and count the working hours and material remaining of each equipment. Through quantitative analysis methods, calibrate the equipment deployment and time nodes that need to be adjusted, and create a task and environment deviation table; Based on the task and environment deviation table, adjust the equipment deployment and time nodes to match the actual construction environment changes, using the formula: ； Optimize task allocation and generate construction offset correction results; in, represents the overall adjustment efficiency, Indicates The time deviation of each task, The operating efficiency of the equipment associated with the task, It is the original planned working hours. Represents the global adjustment coefficient, which is used to correct the time deviation caused by environmental changes. is the number of tasks.

8. An intelligent road construction control method, characterized in that: According to any one of claims 1 to 7, the intelligent road construction control system is implemented. The following steps are involved: Based on the working time records of pavement materials and construction equipment, the task requirements and equipment working hours of the divided sections are counted, the equipment working hours are matched with the task requirements, the difference in labor working hours is calculated, the equipment and labor availability are compared item by item, and the equipment resource allocation table of the section is generated; Based on the road section equipment resource allocation table, calculate the start time and task interval of key road section tasks, sort the calling order of mechanical working hours and manual working hours, count the task resource utilization rate and interval weight, and generate a key road section task priority table by combining the statistical data and the calling order; Based on the task priority table of the key road section, the pavement material supply cycle and the construction equipment working hours are calculated, the equipment deployment time conflict is calibrated, and the task execution interval is adjusted in combination with the deployment time and the resource shortage task distribution, and a task execution constraint parameter set is established; Based on the task execution constraint parameter set, the difference between the construction section time node and the task distribution is counted, the resource utilization rate and equipment time are paired, the task and time node ranges are adjusted, the equipment resource distribution is reorganized, the section construction optimization schedule is obtained, the environmental changes and equipment operating status are monitored, the deviation between the task time and the environmental changes is calculated, the equipment working hours and the remaining materials are counted, the equipment deployment and time nodes are adjusted, and the construction offset correction results are generated.

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