Dynamic Optimization System for the Construction Management Process of Water Conservancy Projects

Abstract

The present invention relates to the technical field of water conservancy project management, specifically a dynamic optimization system for the construction management process of water conservancy projects. The system includes a construction progress monitoring module, a resource scheduling optimization module, a construction task adjustment module, a safety risk identification module, and a decision-making optimization module. In the present invention, by real-time monitoring the operation of equipment at the construction site, the working hours of personnel, and the material arrival records, it is possible to judge the difference between the execution of construction nodes and the progress of planned tasks, timely identify task lags and schedule deviations and conduct optimized scheduling to reduce task delays. The resource scheduling optimization effectively avoids resource conflicts by identifying periods of equipment resource conflicts, improving construction efficiency. The construction tasks are dynamically adjusted according to real-time weather monitoring to reduce the impact of weather on the progress. Safety risks identify problems with the safety protection of operators through task adjustment information, eliminate potential hazards, improve the efficiency and quality of construction management, reduce risks, and ensure the successful completion of the project.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy project management, and particularly to a dynamic optimization system for the construction management process of water conservancy projects. Background Art

[0002] The technical field of water conservancy project management encompasses the entire process management of water conservancy project construction, mainly including various management activities in stages such as planning, design, construction, supervision, and acceptance. The core contents include aspects such as resource allocation, construction progress control, quality management, and safety guarantee of water conservancy projects. The purpose of the technical field of water conservancy project management is to ensure the smooth implementation of water conservancy project construction, achieve the expected functions and benefits, and at the same time ensure that the quality, safety, environmental protection, etc. of the project comply with relevant standards and regulations. With the development of technology, water conservancy project management has gradually developed towards digitalization, informatization, and intelligence, promoting a more efficient and precise project management process.

[0003] Among them, the dynamic optimization system for the construction management process of water conservancy projects refers to a dynamic optimization technology for the management process during the construction of water conservancy projects. This system mainly addresses issues such as unclear processes, decentralized management, and information silos existing in the construction management of water conservancy projects. It adopts methods such as real-time data collection and analysis, dynamic optimization of process models, and intelligent scheduling to improve the collaborative efficiency and response speed of the management process. This system uses digital technology to monitor in real time information such as the resource usage, construction progress, and personnel allocation of the project, and through analyzing various data, dynamically adjusts and optimizes the management process to ensure that all work progresses smoothly according to the plan. The system can, in a data-driven manner, monitor and optimize each link of project management in real time, thereby improving the overall efficiency and quality of water conservancy project construction management.

[0004] Although the prior art emphasizes aspects such as construction progress control, quality management, and safety guarantee in water conservancy project construction, there are obvious deficiencies in the specific implementation process. The prior art mostly relies on traditional manual monitoring and data recording, resulting in lagging information updates and a lack of timeliness in decision-making adjustments. Especially when facing uncertain situations during the construction process, the traditional mode is difficult to provide real-time feedback and optimization. For example, the monitoring of construction progress deviations is carried out through manual inspections and periodic reports, rather than real-time and dynamic progress monitoring, which easily leads to delays or out-of-control progress of construction tasks. In terms of resource scheduling, there is a lack of real-time analysis and optimization of the allocation of construction equipment and personnel. When resource utilization is uneven or there are conflicts, timely adjustments are not made, resulting in low construction efficiency. In terms of safety management, although there is a safety monitoring mechanism, due to the relatively lagging dynamic adjustment of tasks, safety hazards have led to accidents before being effectively identified. The prior art cannot respond and adjust quickly when sudden changes occur, and cannot ensure the dynamic balance of resources, progress, and safety throughout the construction process. Summary of the Invention

[0005] The object of the present invention is to solve the deficiencies existing in the prior art, and a dynamic optimization system for the construction management process of water conservancy projects is proposed.

[0006] To achieve the above object, the present invention adopts the following technical solutions: The dynamic optimization system for the construction management process of water conservancy projects includes:

[0007] The construction progress monitoring module is based on the data of the construction site of the water conservancy project, including the equipment operation data in the operation area, the working hours of personnel, and the material arrival records, monitors the implementation of the construction nodes and the progress difference from the planned tasks, judges whether there is a task lag, compares the real-time and planned times, and obtains the construction progress deviation value;

[0008] The resource scheduling optimization module analyzes the task execution order of the concrete mixer and lifting equipment at the construction site of the water conservancy project according to the construction progress deviation value, collects the equipment usage time period and personnel configuration, identifies the equipment resource conflict time period, and generates an optimized resource allocation result;

[0009] The construction task adjustment module extracts the real-time execution time of the scheduled tasks and the on-site weather data according to the optimized resource allocation result, judges whether the outdoor operation is affected by adverse weather, analyzes the priority of operation adjustment, adjusts the task order, and obtains a construction task time adjustment table;

[0010] The safety risk identification module calls the construction task time adjustment table, identifies the key safety links in the operation tasks, detects the wearing situation of the safety protection equipment of the equipment operators, and identifies the operators without wearing protection equipment, and obtains a list of unqualified safety protection.

[0011] As a further solution of the present invention, the construction progress deviation value includes the task lag duration, the progress difference ratio, and the deviation between the execution progress and the planned progress. The optimized resource allocation result includes the optimized task execution order, the equipment usage time period, the personnel configuration plan, and the equipment resource conflict time period. The construction task time adjustment table includes the adjusted task order, the task execution time, the operation adjustment priority, and the weather impact assessment result. The list of unqualified safety protection includes the personnel without wearing protection equipment, the key safety links, and the safety hidden dangers of the operation tasks.

[0012] As a further solution of the present invention, the construction progress monitoring module includes:

[0013] The on-site data capture sub-module is based on the data of the construction site of the water conservancy project, including the equipment operation records, the working hours of personnel, and the material arrival time in the operation area, and uniformly converts them into a construction node time series to obtain a construction node synchronization time series;

[0014] The execution time difference calculation sub-module matches the planned time and the real-time completion time according to the construction node synchronization time series, extracts the time difference series, and obtains the task node time difference;

[0015] The progress deviation value acquisition sub-module calls the task node time difference, combines the equipment operation duration and the cumulative personnel operation duration under the node, superimposes the material arrival delay amount and the operation frequency deviation amount, and uses the formula:

[0016] ;

[0017] to obtain the construction progress deviation value;

[0018] where, represents the construction progress deviation value, represents the real-time completion time of the th node, represents the planned time of the th node, represents the equipment operation duration of the th node, represents the total personnel operation duration of the th node, represents the material arrival delay amount of the th node, represents the operation frequency deviation amount of the th node, represents the total number of nodes.

[0019] As a further solution of the present invention, the resource scheduling optimization module includes:

[0020] The equipment task scheduling sub-module collects the real-time operation periods of the concrete mixer and the hoisting equipment according to the construction progress deviation value, analyzes the task execution order of the two types of equipment, and obtains the equipment operation period table;

[0021] The resource conflict detection sub-module analyzes the time overlap of the tasks of the concrete mixer and the hoisting equipment according to the equipment operation period table, identifies the resource conflict periods, and generates a resource conflict period list;

[0022] The resource optimization sub-module is based on the resource conflict period list, and according to the construction progress, equipment and personnel configuration, optimizes the resource scheduling, adjusts the task order and the equipment operation time, and uses the formula:

[0023] ;

[0024] Calculate the resource allocation optimization value, adjust the resource scheduling through the optimization value, and generate the optimized resource allocation result;

[0025] where, represents the optimized value of resource allocation, represents the start time of the represents the end time of the represents the resource consumption duration of the represents the personnel allocation duration of the represents the equipment or personnel demand of the represents the total number of tasks.

[0026] As a further solution of the present invention, the construction task adjustment module includes:

[0027] The task execution time extraction sub-module extracts the execution start and end times corresponding to the tasks according to the optimized resource allocation result, arranges the time periods corresponding to the task scheduling, and generates a task execution schedule;

[0028] The weather impact judgment sub-module screens the weather conditions of the task period based on the task execution schedule and combines real-time weather data, judges whether it exceeds the construction scope, marks the restricted time period, and obtains the analysis result of the impact of the working weather;

[0029] The task sequence adjustment sub-module judges the construction urgency according to the restricted working time period based on the analysis result of the impact of the working weather, and re-arranges the task sequence in combination with the original task time and the delay range, using the formula:

[0030] ;

[0031] Calculate the adjusted task execution time and perform sequence sorting to obtain a construction task time adjustment table;

[0032] Wherein, represents the adjusted task execution time, represents the original start time of the task, represents the task priority level value, represents the original planned total duration of the task, represents the original end time of the task, represents the duration of the task affected by restricted weather, represents the maximum upper limit value of the delay time.

[0033] As a further solution of the present invention, the safety risk identification module includes:

[0034] The safety protection inspection sub-module monitors the equipment operators of each operation task based on the construction task time adjustment table, checks whether they wear safety protection equipment that meets the standards, records the wearing situation, and obtains the protection equipment wearing record;

[0035] The risk list acquisition sub-module identifies the operators who do not wear safety protection equipment based on the protection equipment wearing record, marks them as personnel with unqualified safety protection, and uses the formula:

[0036] ;

[0037] Calculate the pass rate of wearing protection equipment to obtain the list of unqualified safety protection;

[0038] where, represents the pass rate of wearing protection equipment, represents the number of qualified wearers, represents the total number of operators.

[0039] As a further solution of the present invention, the system further includes a decision optimization module:

[0040] The decision optimization module extracts the unqualified tasks according to the list of unqualified safety protection, rearranges the associated operation equipment and personnel, evaluates potential safety hazards, and optimizes the task execution time in combination with the real-time situation to obtain the optimized operation table for water conservancy project construction;

[0041] The optimized operation table for water conservancy project construction includes the optimized task execution time, rearranged operation equipment, personnel configuration, and safety hazard assessment results.

[0042] As a further solution of the present invention, the decision optimization module includes:

[0043] The task screening sub-module extracts the unqualified tasks according to the list of unqualified safety protection, screens the associated operation tasks, extracts the corresponding equipment and personnel information for each task, analyzes the reasons for task unqualified, and generates a list of tasks to be optimized;

[0044] The resource scheduling sub-module rearranges the associated operation equipment according to the list of tasks to be optimized, schedules the current available equipment and personnel resources, analyzes the equipment performance and operation progress, and generates an equipment and personnel scheduling plan;

[0045] The operation optimization sub-module evaluates potential safety hazards based on the equipment and personnel scheduling plan, combines the current real-time progress and climate situation factors, and optimizes the operation sequence and time allocation to obtain the optimized operation table for water conservancy project construction.

[0046] Compared with the prior art, the advantages and positive effects of the present invention are:

[0047] In the present invention, by monitoring the equipment operation data, personnel working hours, and material arrival records at the construction site in real time, the judgment of the execution status of construction nodes and the difference from the planned task progress can be realized, effectively identifying task lags and schedule deviations, providing immediate feedback at the construction site and performing optimized scheduling to reduce task delays. During the process of optimizing resource scheduling, by identifying and analyzing the conflict periods of equipment resources at the construction site, when equipment resource conflicts occur, resource conflicts can be effectively avoided, construction efficiency can be improved, the project can be guaranteed to progress on schedule, and construction tasks are adjusted according to changes in the external environment, such as real-time monitoring of weather conditions, dynamically adjusting the task sequence, minimizing the obstruction of construction progress caused by adverse weather or factors to the greatest extent. Through real-time data monitoring, dynamic optimization, and intelligent scheduling, construction management can achieve high coordination and efficient response, thereby improving the overall efficiency and quality of construction management, reducing potential risks, and ensuring the successful completion of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is the system flow chart of the present invention;

[0049] Figure 2 is the flow chart of the construction progress monitoring module in the present invention;

[0050] Figure 3 is the flow chart of the resource scheduling optimization module in the present invention;

[0051] Figure 4 is the flow chart of the construction task adjustment module in the present invention;

[0052] Figure 5 is the flow chart of the safety risk identification module in the present invention;

[0053] Figure 6 is the flow chart of the decision-making optimization module in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0054] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, 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.

[0055] 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, and 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.

[0056] Please refer to Figure 1 , the dynamic optimization system for the construction management process of water conservancy projects includes:

[0057] The construction progress monitoring module is based on the data of the water conservancy project construction site, including the equipment operation data in the operation area, the working hours of personnel, and the material arrival records, monitors the implementation of construction nodes and the progress difference between the planned tasks, determines whether there is a task lag, compares the real-time and planned times, and obtains the construction progress deviation value;

[0058] The resource scheduling optimization module analyzes the task execution sequence of concrete mixers and hoisting equipment at the water conservancy project construction site according to the construction progress deviation value, collects the equipment usage time period and personnel configuration, identifies the equipment resource conflict time period, and generates an optimized resource allocation result;

[0059] The construction task adjustment module extracts the real-time execution time of the scheduled tasks and the on-site weather data according to the optimized resource allocation result, determines whether the outdoor operation is affected by adverse weather, analyzes the priority of operation adjustment, adjusts the task sequence, and obtains the construction task time adjustment table;

[0060] The safety risk identification module calls the construction task time adjustment table, identifies the key safety links in the operation tasks, detects the wearing situation of the safety protection equipment of equipment operators, and identifies the operators without wearing protection equipment, and obtains the list of unqualified safety protection;

[0061] The decision-making optimization module extracts the unqualified tasks according to the list of unqualified safety protection, rearranges the associated operation equipment and personnel, evaluates the potential safety hazards, and optimizes the task execution time in combination with the real-time situation, and obtains the optimized operation table for the water conservancy project construction.

[0062] The construction progress deviation values include the task lag duration, the progress difference ratio, and the deviation between the execution progress and the planned progress. The optimized resource allocation results include the optimized task execution order, equipment usage time period, personnel allocation plan, and equipment resource conflict time period. The construction task time adjustment table includes the adjusted task order, task execution time, operation adjustment priority, and weather impact assessment result. The list of unqualified safety protection includes personnel without protective equipment, key safety links, and potential safety hazards in operation tasks. The optimization operation table for water conservancy project construction includes the optimized task execution time, re-arranged operation equipment, personnel allocation, and safety hazard assessment result.

[0063] Please refer to Figure 2 , the construction progress monitoring module includes:

[0064] The on-site data capture sub-module is based on the construction site data of the water conservancy project, including the equipment operation records, personnel operation duration, and material arrival time in the operation area, and uniformly converts them into a construction node time series to obtain a synchronized construction node time series;

[0065] Regarding the data collection process of equipment operation records, personnel operation duration, and material arrival time in the operation area, it first involves the monitoring of the equipment operation status. For example, at the construction site of the water conservancy project, the start, operation, and stop times of equipment such as excavators and bulldozers are recorded to ensure the accuracy of the time series. The operation data from start to stop is automatically recorded every minute by sensors installed on the equipment, and the data is sent to the central database. Through data collection, unified collection, and conversion, for the personnel operation duration, RFID technology is used to monitor the entry and exit times of workers to calculate their daily operation duration. For the material arrival time, RFID tags are installed on each batch of materials to record their arrival time in real time to ensure the timeliness and accuracy of material use. After all the data is processed, it is converted into a standard construction node time series, providing basic data for subsequent analysis, obtaining a synchronized construction node time series, and through close combination with the actual construction site, the refined operation ensures the real-time and accuracy of the data.

[0066] The execution time difference calculation sub-module matches the planned time and the real-time completion time according to the synchronized construction node time series, extracts the time difference series, and obtains the task node time difference;

[0067] Further process the synchronized time series values of the collected construction nodes. Align the planned completion time and the actual completion time of each construction node through a matching algorithm. For example, in a certain water conservancy project, if the part that was planned to be completed on the fifth day was actually completed on the seventh day, record the time difference between these two days. The algorithm identifies all time differences by making such comparisons for all nodes. The time difference values are regarded as key parameters and input into the subsequent calculation model. The model conducts statistical analysis on the time differences and calculates the average time deviation of the overall project. The time differences involved in this process are obtained by comparing the specific construction logs with the schedule plan, thereby accurately obtaining the time differences of the task nodes, which can clearly reflect the delays existing in the project progress and provide a basis for further optimization and adjustment.

[0068] The progress deviation value acquisition sub-module calls the time differences of the task nodes, combines the equipment operation duration and the cumulative personnel operation duration under the nodes, adds the material arrival delay amount and the operation frequency offset amount, and uses the formula:

[0069] ;

[0070] Obtain the construction progress deviation value;

[0071] Among them, represents the construction progress deviation value, represents the real-time completion time of the th node, represents the planned time of the th node, represents the equipment operation duration of the th node, represents the total personnel operation duration of the th node, represents the material arrival delay amount of the th node, represents the operation frequency offset amount of the th node, represents the total number of nodes;

[0072] Call the time difference values of the task nodes, and combine the equipment operation duration, personnel operation duration, material arrival delay amount and operation frequency offset amount of each node to construct a comprehensive deviation calculation model. All parameters need to be first unified in dimension in actual calculation, that is, the time-related parameters are unified to hours, and the delay amount and frequency offset-related parameters are normalized to make them fall into a numerical scale compatible with time. The specific acquisition process and value-taking methods of each parameter will be described in turn below, and a complete example calculation will be carried out and illustrated in combination with the construction node examples of the water conservancy project;

[0073] First, (the actual completion time of the i-th node) and (The scheduled time of the i-th node) is recorded in hours. For example, if the scheduled time of node 1 is the 48th hour and the actual completion time is the 60th hour, then the time deviation of this node is 12 hours, and the equipment operation time is obtained through the operation timer installed on construction equipment (such as excavators, concrete pumps). For example, in node 1, the cumulative equipment operation is 30 hours, and the personnel operation duration is recorded by the intelligent attendance record. For example, in node 1, there are 5 workers, and each works for 6 hours, with a total of 30 hours. Then the personnel operation duration of this node is 30 hours;

[0074] Material arrival delay volume refers to the delay duration of the arrival time of the main materials required for this node. For the convenience of unifying the dimension with the parameters, it is normalized with the standard operation cycle of this node. If the originally scheduled material arrival time of node 1 is the 40th hour and the actual time is the 46th hour, with a delay of 6 hours, accounting for 12.5% of the standard cycle of 48 hours, then it is normalized to 0.125. Operation frequency offset refers to the deviation percentage of the number of operations per unit time compared to the planned number. If the planned number of operations per day is 10 times and the actual number is 8 times, then the offset rate is 20%, and it is normalized to 0.2;

[0075] Substitute the data of node 1 into the calculation as follows:

[0076] , , and the difference is 12;

[0077] , , and the total is 60;

[0078] , ;

[0079] Substitute into the formula: ;

[0080] This numerical value is the construction progress deviation value of Node 1, which represents the deviation intensity value of this node relative to the plan under the combined action of various factors after normalization. A linear superposition term of equipment operation duration and personnel operation duration is introduced, expanding the contribution assessment of the actual executed resources to the progress deviation. At the same time, the material delay quantity and the operation frequency deviation term are combined through the square sum and square root method, enhancing the response sensitivity to the fluctuations in construction organization efficiency, thereby improving the multi-factor response ability and data scale consistency of the progress deviation value. This result indicates that under the current operation resource allocation and material arrival status, there is a significant progress deviation at Node 1, and its corresponding construction progress deviation value is 3051.7, which can be used to compare with the set progress deviation threshold (such as 2000). If it exceeds, a control response can be triggered, thereby clarifying the abnormal level and adjustment requirements of the node;

[0081] The formula for the construction progress deviation value is constructed after comprehensively considering multiple key factors affecting the construction progress, including the following types of parameters: the time difference between the actual completion time and the planned time of the construction node, equipment operation duration, personnel operation duration, material arrival delay quantity, and deviation of operation frequency. These parameters together reflect the deviation intensity between the execution effect of a construction node and the original plan. Starting from the time difference, the calculation formula incorporates the weight effects of resource usage and organizational efficiency, realizing the multi-factor response modeling of the progress deviation.

[0082] The theoretical basis of this formula is that the deviation of construction progress is not caused by a single factor, but is the result of the combined action of the coordination degree and actual execution efficiency of various resources (man, machine, and material) in on-site construction execution. Subtracting the planned time from the actual completion time can reflect the direct delay. The input time of equipment and personnel shows the resource execution intensity, while the delay in material arrival and the deviation of operation frequency reveal the efficiency fluctuations in construction organization. Through linear superposition and normalization transformation, the formula unifies parameters with different dimensions into a comparable scale, and then enhances the sensitivity to the influence of non-linear factors (such as operation frequency fluctuations) through nested functions, having strong engineering adaptability.

[0083] In the example, the formula conducts unified calculations based on hours. For example, if the time difference of a certain node is 12 hours, the total equipment operation duration and personnel operation duration is 60 hours, the material arrival delay is normalized to 0.125 according to the proportion, and the operation frequency deviation is normalized to 0.2. Finally, the calculated construction progress deviation value is 3051.7. The larger the value, the more significant the progress deviation of this node.

[0084] After calculating the construction progress deviation value, the system will compare the value with the set deviation threshold (for example, 2000). If the value exceeds the threshold, it means that there is a serious lag or resource coordination abnormality in the node, and the system will trigger the adjustment mechanism. At this time, the construction progress monitoring module will mark the node as "needs optimization" and transmit this information to the resource scheduling optimization module, which will reorder and optimize the current resources (equipment and personnel) accordingly. At the same time, the size of the progress deviation value will also be used as one of the reference weights for subsequent task priority adjustment and resource scheduling scheme optimization. Under the condition of integrating progress recovery and efficiency improvement, the execution plan of the construction site will be dynamically adjusted, and finally the construction task adjustment module will generate a construction task time adjustment table containing the new task sequence and execution time to achieve a closed loop of progress control.

[0085] See also Figure 3 , the resource scheduling optimization module includes:

[0086] The equipment task scheduling submodule collects the real-time operation periods of the concrete mixer and the lifting equipment according to the construction progress deviation value, analyzes the task execution sequence of the two types of equipment, and obtains the equipment operation period table;

[0087] First, the operation time period data of the concrete mixer and hoisting equipment at the construction site is obtained. The data is obtained through the automatic recording of the equipment. For example, the start and end time of the concrete mixer can be obtained through the installed automatic sensor, and the operation time of the hoisting equipment is also recorded in a similar way. Then, combined with the time arrangement of each construction stage and the equipment use plan, the operation time of the equipment is analyzed one by one to determine its task sequence in each stage. Assuming that in a specific construction stage, the working time of the concrete mixer is from the 12th hour to the 14th hour, and the task time of the hoisting equipment is from the 14th hour to the 16th hour, the task time of these two equipment is closely connected. Through this analysis, the time allocation of the two and the arrangement of the operation sequence can be clearly seen, and the equipment operation time table is generated to clarify the task sequence and specific operation time of the two equipment. This time table is not only a time recording tool, but also provides basic data for subsequent conflict detection and resource optimization, ensuring that the task execution of the equipment is carried out correctly in the predetermined order.

[0088] The resource conflict detection submodule analyzes the time overlap between the concrete mixer and the lifting equipment tasks according to the equipment operation period table, identifies the resource conflict period, and generates a resource conflict period list;

[0089] Analyze whether there is an overlap in the task execution periods of the concrete mixer and the hoisting equipment, compare the operation periods of these two pieces of equipment, and check if there is an overlapping part. For example, if the operation time of the concrete mixer is from the 12th hour to the 14th hour, and the operation time of the hoisting equipment is from the 13th hour to the 15th hour, this means that during the period from the 13th hour to the 14th hour, the operation times of the concrete mixer and the hoisting equipment conflict. Automatically identify this conflict and mark this overlapping time period. Conduct a comprehensive comparison of the operation periods of all equipment to detect existing conflicts. For example, if multiple pieces of equipment are arranged tasks during the same time period, mark the conflict period again. Through screening, identify the resource conflicts among all equipment, form a detailed list containing all conflict periods, and obtain a list of resource conflict periods, which can help construction managers adjust task arrangements in a timely manner, avoid resource conflicts, and ensure that the construction progress is not affected.

[0090] Based on the list of resource conflict periods, the resource optimization sub-module optimizes resource scheduling according to the construction progress, equipment, and personnel configuration, adjusts the task order and equipment operation time, and uses the formula:

[0091] ;

[0092] Calculate the optimized value of resource allocation, adjust resource scheduling through the optimized value, and generate the optimized resource allocation result;

[0093] Among them, represents the optimized value of resource allocation, represents the start time of the th task, represents the end time of the th task, represents the resource consumption duration of the th task, represents the personnel configuration duration of the th task, represents the demand for equipment or personnel of the th task, represents the total number of tasks;

[0094] Combined with the construction progress, equipment, and personnel allocation, optimize the task scheduling, adjust the task execution order or allocate new operation time periods. Suppose during the construction process, the task time of the concrete mixer is from the 12th hour to the 14th hour, while the task time of the hoisting equipment is from the 13th hour to the 15th hour, resulting in a time period overlap. According to the idle time of the equipment and the priority of the tasks, rearrange the task order. In this example, the task of the hoisting equipment can be adjusted to the 16th hour to the 18th hour to avoid conflicts with the operation time of the concrete mixer. Further adjust the operation time of the equipment and personnel based on the construction progress deviation and resource allocation to ensure the reasonable distribution of resources. For example, after adjustment, the operation time periods of the hoisting equipment and personnel will also be adjusted accordingly to ensure the smooth execution of tasks and minimize the idle time of the equipment. All task adjustments and resource allocations will be reflected in the optimization plan;

[0095] Optimize the task time, resource consumption, and personnel allocation. The following details the acquisition and calculation process of each parameter in the formula:

[0096] (Task start time): Suppose the start time of a certain task is the 12th hour, which is used as the input data for construction scheduling. This time is determined based on the construction progress arrangement and the equipment operation time to ensure that the equipment starts the task on time;

[0097] (Task end time): This parameter represents the end time of the task. For example, if the task end time is the 14th hour, it means the task lasts for 2 hours;

[0098] (Resource consumption duration): The resource consumption duration represents the amount of equipment time required for this task. For example, the task executed by the concrete mixer requires 2 hours. At this time hours;

[0099] (Personnel allocation duration): This parameter represents the personnel allocation duration for executing the task. For example, the task execution of the hoisting equipment requires 4 workers, and each worker needs to work for 3 hours, with a total working hours of 12 hours, that is ;

[0100] (Equipment or personnel demand): This parameter is used to represent the number of equipment or personnel required for the task. Suppose this task requires 2 pieces of equipment, and the equipment demand in the task is 2 pieces, that is ;

[0101] Substitute specific data for calculation:

[0102] Suppose the start time of Task 1 is the 12th hour, the end time is the 14th hour, the resource consumption duration of the task is 2 hours, the personnel allocation duration is 12 hours, and the equipment demand is 2 units;

[0103] For this task, the calculated values are as follows: ;

[0104] Finally, the optimized value of resource allocation obtained is 14. This value will serve as a key basis for optimized scheduling, determining the allocation of adjusted equipment and personnel resources. Through this optimized value, it can be ensured that resource scheduling is more reasonable, avoiding excessive resource idleness or over-concentration;

[0105] The calculation formula for the optimized value of resource allocation is proposed to evaluate and optimize the efficiency of equipment and personnel resource allocation at the construction site. Its core purpose is to reduce resource conflicts, avoid equipment idling or overlapping operations, and improve the overall construction efficiency. The formula comprehensively considers key factors such as the start and end times of each task, the resource usage duration, the personnel input duration, and the equipment or personnel demand, and then forms a quantifiable optimization index to guide the adjustment of construction task scheduling and resource allocation strategies.

[0106] The formula starts from the essence of resource scheduling, that is, "reasonably utilize limited resources to complete the most tasks and reduce conflicts". By quantifying the occupancy of resources (equipment and personnel) for each task and combining the time span of the task, the resource load situations of each task are integrated to form the total resource burden. The smaller the value of this optimized value, the more reasonable the resource scheduling and the fewer conflicts; the larger the value, the more resource waste, conflicts or improper time arrangements exist.

[0107] The parameter explanations are as follows:

[0108] Task start time and end time: Identify the interval of the task on the construction time axis and determine whether there is time overlap with other tasks;

[0109] Resource consumption duration: Reflect the usage time of hard resources such as equipment, representing the continuous load of resources;

[0110] Personnel allocation duration: Indicate the occupancy of human resources and reflect the intensity of the task's input to the construction team;

[0111] Equipment or personnel demand: Quantify the number of resources required for each task (such as the number of equipment units, the number of workers), serving as a measurement factor for the rationality of resource allocation.

[0112] After these parameters are integrated, a metric for the resource consumption density and time occupancy intensity of the task is formed. Illustrated by an example: If a certain task starts at the 12th hour and ends at the 14th hour, the equipment needs to be used for 2 hours, 4 people work a total of 12 man-hours, and the manpower requirement is 2 person-times, then the optimized value of the resource allocation for this task is calculated to be 14.

[0113] This optimized value is not analyzed in isolation, but is a basic indicator for the comprehensive evaluation of multiple tasks. After the calculation is completed, the system will sort based on the optimized values of all tasks and analyze the resource conflict periods. For example, if two tasks both need to use the same lifting equipment in the same time period, and there is only one such equipment, then the system will preferentially retain the original plan of the task with a lower optimized value, and adjust the other task backward or forward, thus forming a new non-conflicting resource allocation sequence.

[0114] After that, the optimized value will be used to generate the "optimized resource allocation result", including the adjusted task order, the reallocated equipment operation time period and the personnel schedule. This result not only affects the equipment scheduling arrangement at the construction site, but also will be passed into the "construction task adjustment module" and become an important input basis for adjusting the task execution time and priority. Ultimately, the goal of maximizing resource utilization and minimizing task conflicts is achieved, thereby improving the overall construction scheduling efficiency and on-site execution quality.

[0115] Please refer to Figure 4 , the construction task adjustment module includes:

[0116] The task execution time extraction sub-module extracts the start and end times corresponding to the task according to the optimized resource allocation result, arranges the time periods corresponding to the task scheduling, and generates a task execution schedule;

[0117] First of all, the task execution time is determined according to the determined task order at the construction site and the resources required for each task. Assume that the start time of the construction task is the 5th hour and the end time is the 6th hour. Obtain the real-time weather data at the construction site, such as wind speed, precipitation, temperature, etc., to judge whether it will affect the task execution. For example, if the precipitation is expected to be large during the execution period of a certain task, it will affect the progress of this task. Record the weather data of this task and make a mark. Combining the real-time weather data and the actual execution duration of the task, accurately schedule the start time and end time of each task, and comprehensively consider the impact of weather on the construction progress. Finally, generate a task execution schedule. This schedule not only helps the construction team arrange work reasonably, but also provides basic data for task order adjustment.

[0118] The weather impact judgment sub-module filters the weather conditions of the task period based on the task execution schedule, combines the real-time weather data, and judges whether it exceeds the construction scope, marks the restricted time period, and obtains the analysis result of the impact of the operation weather.

[0119] Collect data such as temperature, humidity, precipitation, wind speed, etc. through real-time weather monitoring equipment. According to the set weather thresholds, for example, when the wind speed exceeds a certain value or the precipitation exceeds a certain amount, it is automatically determined that the operation is affected by adverse weather. For example, if the wind speed at the construction site exceeds 12 meters per second or the precipitation exceeds 10 millimeters, it is judged that the weather conditions during the period of this task are adverse, mark this task as affected, further record the weather data during this period. By comparing with the execution period of each task, it is possible to effectively identify which operations are affected by adverse weather and mark the affected tasks to generate the analysis result of the impact of operation weather.

[0120] Based on the analysis result of the impact of operation weather, the task sequence adjustment sub-module judges the construction urgency according to the restricted operation time period, and combines the original task time and the delay range to rearrange the task sequence, using the formula:

[0121] ;

[0122] Calculate the adjusted task execution time and perform sequence sorting to obtain the construction task time adjustment table;

[0123] Among them, represents the adjusted task execution time, represents the original start time of the task, represents the task priority level value, represents the original planned total duration of the task, represents the original end time of the task, represents the duration of the task affected by restricted weather, represents the maximum upper limit value of the delay time;

[0124] Combined with the urgency of the task and the construction progress, analyze the priority of operation adjustment. Suppose the original execution time period of a certain task is from the 10th hour to the 12th hour, but due to weather influence, the execution time of this task needs to be adjusted. Suppose the weather data shows that the precipitation during the task time period is greater than 10 millimeters and the wind speed reaches 13 meters per second, exceeding the set weather threshold. It is decided to adjust this task to the 14th hour to the 16th hour. In order to reasonably sort the priorities of all tasks in the scheduling, analyze the urgency of the tasks and the construction progress, and give priority to adjusting the tasks closely related to the task. For example, there is a dependency relationship between the execution order of task A and task B. The delay of task A will affect the progress of task B. Task A will be adjusted first, while task B can proceed according to the original plan;

[0125] The execution order of tasks will be optimized, and the time periods of Task A and Task B will be adjusted. For example, assume that the original time of Task A is from the 10th hour to the 12th hour, and the original time of Task B is from the 12th hour to the 14th hour. Due to weather influence, Task A is adjusted to the 14th hour to the 16th hour. At this time, the execution time of Task B will remain unchanged. The adjusted task order will generate a new construction task schedule to ensure that the construction progress is not overly disturbed;

[0126] Assume that the original start time of Task A is the 10th hour, the priority of the task is 5 (the larger the priority value, the more urgent the task), the original planned duration of the task is 2 hours (i.e., from the 10th hour to the 12th hour), and the original end time of the task is the 12th hour. Due to weather influence, Task A needs to be postponed, and the affected time amount is 4 hours (because the adjusted time of Task A is from the 14th hour to the 16th hour). The maximum time amount that Task A can be delayed is 2 hours;

[0127] Substitute into the formula for calculation: ;

[0128] According to the formula operation, the adjusted task execution time is 13 hours. This value reflects the adjustment of Task A due to weather reasons. Based on the new execution time of Task A, the construction team can further optimize the task scheduling and obtain the construction task time adjustment table. This table determines the execution time of all adjusted tasks and optimizes the task order through priority sorting and task dependencies;

[0129] Calculate the execution time after adjusting the construction tasks. Its design goal is to dynamically adjust and optimize the sorting of construction tasks affected by external factors such as weather, so as to ensure that the construction site can be promoted in an orderly manner under the triple constraints of safety, efficiency, and plan. This formula integrates multiple scheduling variables, including the original start time of the task, priority level, original planned duration, original end time, weather impact duration, and the maximum upper limit of the delay time, thus providing an accurate and controllable basis for time adjustment for the system. Its modeling logic stems from a multi-factor linear adjustment mechanism, that is: the original task time is used as the benchmark, the priority level of the task is used as the weight adjustment coefficient, and the weather impact and allowable delay are used as constraint conditions to participate in the calculation together. In this way, high-priority tasks are preferentially arranged within the limited time, and low-priority tasks are flexibly rearranged according to the allowable delay range. In specific applications, for example, a task was originally scheduled to start at the 10th hour, last for 2 hours, with a priority level of 5, and needs to be delayed by 4 hours due to weather, and the maximum delay is 2 hours. After substituting into the formula, the adjusted start time of the task is the 13th hour. This result will be used by the system to regenerate the "Construction Task Time Adjustment Table", which contains the new execution times and sorting relationships of all affected tasks, while ensuring that the dependencies and logical sequences between tasks are not damaged. The system will also combine the time arrangements of other tasks to avoid new resource conflicts, and finally achieve the scheduling reconstruction of multi-task dynamic collaboration. Therefore, this formula not only provides the adjusted value of time, but also provides an intelligent and refined quantitative basis for the rearrangement and scheduling decision-making of the entire construction task, and is an indispensable core calculation model in the dynamic management of construction tasks.

[0130] Please refer to Figure 5 , the safety risk identification module includes:

[0131] Based on the construction task time adjustment table, the safety protection inspection sub-module monitors the equipment operators of each operation task, checks whether they wear safety protection equipment that meets the standards, records the wearing situation, and obtains the wearing record of the protection equipment;

[0132] By connecting with the personnel database, the identity information and affiliated tasks of each worker are obtained. At the same time, by connecting with the work task schedule, it is confirmed whether the worker wears the necessary safety protection equipment during each work period. The safety protection equipment for equipment operators includes safety helmets, protective gloves, work shoes, goggles, etc. The system monitors the wearing situation of the equipment through intelligent sensors or vision recognition systems. For example, when the equipment operator for Task A enters the work area, the sensor detects whether the person wears a safety helmet and work shoes. If a certain piece of equipment is not detected, the situation will be recorded and a record of the wearing of protection equipment will be generated. If it is identified that some workers do not wear the necessary safety protection equipment during the execution of a certain task, they will be marked as unqualified in safety protection and included in the list of workers who do not wear protection equipment to ensure that remedial measures can be taken in a timely manner.

[0133] Based on the record of the wearing of protection equipment, the risk list acquisition sub-module identifies the workers who do not wear safety protection equipment and marks them as unqualified in safety protection, using the formula:

[0134] ;

[0135] Calculate the passing rate of the wearing of protection equipment to obtain the list of unqualified in safety protection;

[0136] Among them, represents the passing rate of the wearing of protection equipment, represents the number of qualified wearers, represents the total number of workers;

[0137] Each work task will be screened to check whether each worker meets the wearing standards of safety protection equipment. By connecting with the personnel database, the identity information of each worker and the corresponding tasks are obtained. At the same time, according to the task schedule, it is confirmed whether the person wears safety protection equipment. Taking Task A as an example, assuming that Worker 1 should originally wear a safety helmet and work shoes, but through sensor monitoring, it is found that he does not wear a safety helmet. At this time, the system will mark Worker 1 as "not wearing safety protection equipment" and record the information. Worker 2 in Task B does not wear work shoes, and the situation will be automatically recorded and marked as unqualified;

[0138] All the information collected on workers not wearing protection equipment will be summarized to create a list of unqualified in safety protection. Assuming that it is detected that there are 2 workers who do not wear protection equipment in Task A and Task B, a list of unqualified will be generated, listing the identity information of these 2 workers and the types of protection equipment they do not wear. To ensure the accuracy of the data, the wearing situation of the equipment of all personnel will be verified one by one, and further verification will be carried out based on the task execution time, on-site monitoring data, etc. The generated list of unqualified in safety protection will be used for subsequent safety management and personnel rectification work;

[0139] To ensure accurate recording of the wearing situation of protective equipment, the effectiveness of safety protection measures is evaluated by calculating the wearing qualification rate for each task, and the wearing qualification rate of protective equipment for the task is calculated;

[0140] represents the wearing qualification rate of protective equipment, that is, the proportion of workers wearing qualified protective equipment among all workers;

[0141] represents the number of qualified wearers, that is, the number of people who have worn complete safety protection equipment as required;

[0142] represents the total number of workers, that is, the total number of all workers performing this task;

[0143] Suppose there are 10 workers for Task A, among which 8 workers wear safety protection equipment correctly, and 2 workers do not wear safety helmets. For Task A, the wearing qualification rate of its protective equipment is calculated as follows: ;

[0144] Through this formula, the wearing qualification rate of Task A can be calculated, and based on this data, it can be evaluated whether it is necessary to rectify the workers who do not wear protective equipment. Continue to record the unqualified personnel and list them in the safety protection unqualified list. This process ensures that the safety management work can respond to the safety protection situation of workers in real time, thereby further improving the safety management level of the construction site;

[0145] Calculate the qualified rate of wearing protective equipment, the purpose of which is to evaluate the actual implementation of safety protection specifications by construction site operators during the task execution process, so as to identify the operation links with potential safety hazards and generate a "list of unqualified safety protection". This formula is essentially a ratio calculation model. By comparing the number of operators who meet the wearing requirements with the total number of operators for this task, a standardized percentage index is obtained to measure the protection compliance level of the overall operation group. Its design logic is derived from the qualified rate evaluation method commonly used in quality control. After being introduced into construction safety management, it becomes the key trigger factor for realizing "real-time monitoring of on-site personnel protection status - automatic identification of violations - task risk level classification". For example, in a task, a total of 10 operators participated. Among them, 8 people wore all the protective equipment according to the standard, such as safety helmets, safety shoes, etc., and 2 people had the behavior of missing wearing. Then the qualified rate of wearing protective equipment for this task is 80%. When this value is lower than the safety threshold set by the system (such as 90%), the system will automatically mark this task as a "task with unqualified protection", and enter the relevant personnel information and specific violation behaviors into the list of unqualified safety protection. This list not only records the violators, but also associates the task number, the operation link to which it belongs, and the level of potential safety hazards, for subsequent invocation by the "decision optimization module" to reassign task personnel, evaluate potential safety risks, and adjust the construction sequence. Therefore, although the fourth formula is simple in form, it plays a role of pre-screening and problem warning in the system safety management logic, and is an important part of realizing the closed-loop of intelligent safety supervision.

[0146] Please refer to Figure 6 , the decision optimization module includes:

[0147] The task screening sub-module extracts unqualified tasks according to the list of unqualified safety protection, screens associated operation tasks, extracts the corresponding equipment and personnel information for each task, analyzes the reasons for task unqualifiedness, and generates a list of tasks to be optimized;

[0148] Extract all tasks marked as unqualified from the task list. When screening tasks, consider the completion status of the tasks, the matching degree of equipment and personnel, and existing safety hazards. For each unqualified task, extract its task description information, operating equipment, operating personnel, and involved operating links. Combine the execution time and location of the task to analyze the specific reasons for non-conformance. Whether it is caused by equipment failure, human error, improper time arrangement, or safety hazards, etc. If a task is not completed due to equipment failure, the equipment should be marked and repair suggestions should be provided. If the task is not completed due to human error, the personnel qualifications need to be re-evaluated, and the safety compliance of subsequent operating personnel should be ensured. For tasks with relatively large safety hazards, they should be marked in the rectification list first and detailed investigations should be required to clarify potential risks, generating a list of tasks to be optimized. This list contains all tasks that need to be rearranged and prioritizes the tasks to ensure that the most urgent and dangerous tasks are processed first.

[0149] The resource scheduling sub-module rearranges the associated operating equipment according to the list of tasks to be optimized, schedules the currently available equipment and personnel resources, analyzes the equipment performance and operation progress, and generates an equipment and personnel scheduling plan;

[0150] Conduct equipment scheduling based on the matching degree between the task requirements and the equipment capabilities. For example, if a task requires high-precision mechanical equipment and the current status of this equipment is under repair, similar equipment needs to be scheduled and ensured to meet the task requirements. During the scheduling process, it is necessary to ensure that there are no scheduling conflicts between equipment to avoid operation delays or safety issues caused by overlapping equipment arrangements. The scheduling of operating personnel also needs to consider their qualifications and experience. Experienced staff should be prioritized for high-risk tasks. For low-risk tasks, novice personnel can be appropriately arranged, but their qualifications still need to meet the requirements. If there is a shortage of personnel, backup personnel need to be deployed in advance. The equipment and personnel scheduling plan must detail the types, quantities, personnel configurations, and working hours required for each task, and be dynamically adjusted according to the actual situation to generate an equipment and personnel scheduling plan.

[0151] The operation optimization sub-module evaluates potential safety hazards based on the equipment and personnel scheduling plan, combined with the current real-time progress and climate conditions, and optimizes the operation sequence and time allocation to obtain an optimized operation table for water conservancy project construction;

[0152] Analyze external environmental factors, such as climate change, real-time conditions at the construction site, etc., and evaluate potential safety hazards. For example, if the task is carried out during the rainy season and there is water accumulation at the construction site, the operation risks should be re-evaluated. When necessary, adjust the operation time and optimize the operation sequence. By evaluating the actual progress during the task execution, the execution time of the task can be re-arranged. For example, if the progress of some tasks lags behind due to equipment failures, the operation time needs to be extended, or the execution time of the task is adjusted to make up for the progress difference. When optimizing the operation time arrangement, the tasks should be prioritized according to their urgency to ensure that key tasks can be completed on time without being affected by the lagging task progress. Through optimization measures, an optimized operation schedule for water conservancy project construction is obtained to ensure that all tasks can proceed smoothly, reduce potential safety hazards, and ensure operation efficiency and construction safety.

[0153] 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 dynamic optimization system for the construction management process of water conservancy projects, characterized in that, The system includes: Based on the construction site data of the water conservancy project, including the equipment operation data in the operation area, the working hours of personnel, and the material arrival records, the construction progress monitoring module monitors the implementation of construction nodes and the progress difference from the planned tasks, determines whether there is a task lag, compares the real-time and planned times, and obtains the construction progress deviation value; The construction progress monitoring module includes: Based on the construction site data of the water conservancy project, including the equipment operation records, the working hours of personnel, and the material arrival times in the operation area, the on-site data capture sub-module uniformly converts them into a time series of construction nodes to obtain a synchronized time series of construction nodes; According to the synchronized time series of construction nodes, the execution time difference calculation sub-module matches the planned time and the real-time completion time, extracts the time difference series, and obtains the time difference of task nodes; The progress deviation value acquisition sub-module calls the time difference of task nodes, combines the equipment operation duration and the cumulative working hours of personnel under the node, superimposes the material arrival delay and the operation frequency deviation, and uses the formula: To obtain the construction progress deviation value; Among them, D represents the construction progress deviation value, Ta i represents the real-time completion time of the i-th node, Tb i represents the planned time of the i-th node, E i represents the equipment operation duration of the i-th node, W i represents the total personnel operation duration of the i-th node, M i represents the material arrival delay of the i-th node, F i represents the operation frequency deviation of the i-th node, and n represents the total number of nodes; Based on the construction progress deviation value, the resource scheduling optimization module analyzes the task execution order of concrete mixers and lifting equipment at the construction site of the water conservancy project, collects the equipment usage time periods and personnel configurations, identifies the equipment resource conflict time periods, and generates an optimized resource allocation result; According to the optimized resource allocation result, the construction task adjustment module extracts the real-time execution time of the scheduled tasks and the on-site weather data, determines whether the outdoor operations are affected by adverse weather, analyzes the priority of operation adjustment, adjusts the task order, and obtains a construction task time adjustment table; The safety risk identification module calls the construction task time adjustment table, identifies the key safety links in the operation tasks, detects the wearing situation of the safety protection equipment of equipment operators, and identifies the operators without wearing protection equipment to obtain a list of unqualified safety protection; 2. The dynamic optimization system for the water conservancy project construction management process according to claim 1, wherein The construction progress deviation value includes the task lag duration, the progress difference ratio, and the deviation between the execution progress and the planned progress. The optimized resource allocation result includes the optimized task execution order, equipment usage time period, personnel configuration plan, and equipment resource conflict time period. The construction task time adjustment table includes the adjusted task order, task execution time, operation adjustment priority, and weather impact assessment result. The list of unqualified safety protection includes the personnel without wearing protection equipment, key safety links, and operation task safety hazards.

3. The dynamic optimization system for the water conservancy project construction management process according to claim 1, characterized in that The resource scheduling optimization module includes: According to the construction progress deviation value, the equipment task scheduling sub-module collects the real-time operation time periods of concrete mixers and lifting equipment, analyzes the task execution order of the two types of equipment, and obtains an equipment operation time period table; According to the equipment operation time period table, the resource conflict detection sub-module analyzes the time overlap of the tasks of concrete mixers and lifting equipment, identifies the equipment resource conflict time periods, and generates a list of equipment resource conflict time periods; Based on the list of equipment resource conflict time periods, according to the construction progress, equipment and personnel configuration, the resource optimization sub-module optimizes the resource scheduling, adjusts the task order and equipment operation time, and uses the formula: Calculate the optimized value of computing resource allocation, adjust resource scheduling based on the optimized value, and generate the optimized resource allocation result; Among them, C represents the optimized value of resource allocation, Ts j represents the start time of the j-th task, Te j represents the end time of the j-th task, R j represents the resource consumption duration of the j-th task, P j represents the personnel allocation duration of the j-th task, A j represents the equipment or personnel demand of the j-th task, and m represents the total number of tasks.

4. The dynamic optimization system for the water conservancy project construction management process according to claim 3, wherein The construction task adjustment module includes: The task execution time extraction sub-module extracts the start and end times of task execution corresponding to the task according to the optimized resource allocation result, organizes the time period corresponding to task scheduling, and generates a task execution schedule; The weather impact judgment sub-module filters the weather conditions during the task period based on the task execution schedule and combines real-time weather data, and judges whether it exceeds the construction scope, marks the restricted time period, and obtains the analysis result of the impact of operation weather; The task sequence adjustment sub-module judges the construction urgency based on the analysis result of the impact of operation weather, combines the original task time and the delay range, rearranges the task sequence, and uses the formula: Calculate the adjusted task execution time and perform sequential sorting to obtain the construction task time adjustment table; Among them, Z represents the adjusted task execution time, S represents the original start time of the task, Q represents the task priority level value, L represents the original planned total duration of the task, G represents the original end time of the task, B represents the restricted weather impact duration of the task, and H represents the maximum upper limit of the delay time.

5. The dynamic optimization system for the water conservancy project construction management process according to claim 4, characterized in that, The safety risk identification module includes: The safety protection inspection sub-module monitors the equipment operators of each operation task based on the construction task time adjustment table, checks whether they wear safety protection equipment that meets the standards, records the wearing situation, and obtains the wearing record of the protection equipment; The risk list acquisition sub-module identifies the operators who do not wear safety protection equipment based on the wearing record of the protection equipment, and marks them as unqualified personnel for safety protection, using the formula: Calculate the qualified rate of wearing protection equipment to obtain the list of unqualified safety protection; Among them, Y represents the qualified rate of wearing protection equipment, U represents the number of qualified wearers, and V represents the total number of operators.

6. The dynamic optimization system for the water conservancy project construction management process according to claim 1, wherein The system also includes a decision optimization module: The decision optimization module extracts unqualified tasks according to the list of unqualified safety protection, rearranges the associated operation equipment and personnel, evaluates potential safety hazards, and optimizes the task execution time in combination with the real-time situation to obtain the optimized operation table for water conservancy project construction; The optimized operation table for water conservancy project construction includes the optimized task execution time, rearranged operation equipment, personnel configuration, and safety hazard assessment results.

7. The dynamic optimization system for the water conservancy project construction management process according to claim 6, characterized in that The decision optimization module includes: The task screening sub-module extracts unqualified tasks according to the list of unqualified safety protection, screens associated operation tasks, extracts the corresponding equipment and personnel information for each task, analyzes the reasons for task unqualified, and generates a list of tasks to be optimized; The resource scheduling sub-module rearranges the associated operation equipment according to the list of tasks to be optimized, schedules the current available equipment and personnel resources, analyzes the equipment performance and operation progress, and generates an equipment and personnel scheduling plan; The operation optimization sub-module evaluates potential safety hazards based on the equipment and personnel scheduling plan, combines the current real-time progress and climate situation factors, optimizes the operation sequence and time allocation, and obtains the optimized operation table for water conservancy project construction.

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