Construction scheduling method for collaborative linkage of cross-basin hydraulic engineering

Abstract

The invention relates to the technical field of water conservancy projects, in particular to a construction scheduling method for collaborative linkage of cross-basin water conservancy projects, which comprises the following steps of: constructing a space-time water conservancy topological network to realize multi-source data fusion and spatial association and provide a basis for accurate scheduling; potential contradictions between construction and hydrological regulation and control are found in advance by recognizing conflict areas and performing quantitative analysis; a space-time safety window strategy set is formulated, the construction period is optimized in combination with risk prediction, and operation safety and efficiency are guaranteed; through task decomposition and collaborative factor allocation, an atomic operation unit and a dependency relationship are defined, and the cross-project linkage capability is improved; by generating a preliminary scheduling scheme, and through a resource-collaborative double-constraint graph and a genetic algorithm, efficient resource configuration and conflict minimization are realized; through dynamic risk monitoring and scheduling scheme reconstruction, hydrological abrupt change and construction deviation are quickly responded, cooperative factors are triggered for rebinding, and scheme adaptability and robustness are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy projects, and in particular to a construction scheduling method for coordinated linkage of cross-basin water conservancy projects. Background Art

[0002] Currently, cross-basin construction management still faces several challenges, including the following: Cross-basin water conservancy projects often involve multiple independent hydrological monitoring systems and construction management systems. The data formats, acquisition frequencies, and transmission protocols of these systems vary, making data integration difficult and achieving real-time synchronization difficult. In cross-basin water conservancy projects, construction activities and hydrological regulation may conflict directly or indirectly in space and time. If not identified and resolved in a timely manner, this will seriously affect the progress and quality of the project and even cause safety accidents. Traditional construction scheduling methods are often based on static plans, lacking high flexibility and adaptability, and are difficult to respond to dynamic changes in real time, resulting in low construction efficiency and increased costs. To this end, the present invention proposes a construction scheduling method for coordinated linkage of cross-basin water conservancy projects. Summary of the Invention

[0003] The purpose of the present invention is to solve the problems in the background technology and to propose a construction scheduling method for coordinated linkage of cross-basin water conservancy projects.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: A construction scheduling method for coordinated linkage of cross-basin water conservancy projects, comprising: S1. Integrate hydrological monitoring data and construction progress data from multiple basins to construct a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships. S2. Identify the intersection and conflict areas between construction links and hydrological regulation links in the spatiotemporal water conservancy topological network, quantify and analyze the conflict intensity, and construct a construction-hydrology coupling conflict matrix; S3. Combine the construction-hydrology coupling conflict matrix with the hydrological risk prediction to formulate a set of spatiotemporal safety window strategies for the construction link; S4. Based on the spatiotemporal safety window strategy set, the construction task is decomposed into atomic operation units and coordinated factors are assigned to obtain a set of coordinated constraint task packages. S5. Based on the collaborative constraint task package set, a preliminary scheduling plan is generated through the resource-collaboration dual constraint graph and genetic evolution algorithm; S6. Deploy a preliminary dispatching plan and monitor hydrological mutations and construction deviations in real time through dynamic risk entropy calculation to generate a risk entropy early warning report. S7. Dynamically reconstruct the scheduling plan based on the risk entropy warning report and trigger the rebinding of the synergy factors.

[0005] Furthermore, the process of integrating hydrological monitoring data from multiple basins with construction progress data and constructing a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships includes: Read the hydrological station flow time series data and construction unit progress report data; uniformly map the data to the GIS geographic coordinate system; among them, the hydrological data is segmented according to the watershed grid, and the construction progress data is decomposed into corresponding time segments according to the project section, and spatiotemporal index tags are established for them; Define and set attributes for key elements in the network: define reservoirs and sluice gates as control nodes, record their real-time water storage capacity and gate status codes; define water transfer channels and natural rivers as transmission edges, record current flow and maximum water flow capacity; define construction sections as load nodes, and assign attributes to construction stage codes; Calculate the edge-node coupling weight based on the real-time traffic of the transmission edge and the construction intensity of the construction section where the load node is located; Integrate all defined nodes and edges and output the spatiotemporal water conservancy topology network.

[0006] Furthermore, the process of identifying the intersection and conflict areas between construction links and hydrological regulation links in the spatiotemporal water conservancy topological network, quantifying and analyzing the conflict intensity, and constructing a construction-hydrology coupling conflict matrix includes: Based on the constructed spatiotemporal water conservancy topology network, a comprehensive traversal operation is performed; during the traversal process, the spatial intersection area of ​​the load nodes and the transmission edges is searched; After determining the conflict area, the conflict type is clearly marked: there are two types of conflicts: hard conflicts and soft conflicts. Hard conflicts are manifested as construction activities directly blocking water flow; soft conflicts are caused by vibration factors generated by construction affecting the normal operation of gates or other water conservancy facilities. Calculate conflict intensity factors to accurately measure the severity of conflicts, including hard conflict intensity and soft conflict intensity ; After the calculation of the conflict intensity factor is completed, a construction-hydrology coupling conflict matrix with N rows and M columns is established; where N represents the total number of construction links, M represents the total number of hydrological control links, and the elements in the matrix are For storing The construction link and The conflict intensity level between the hydrological regulation links, The level is mapped to the interval [0,1] through normalization; for construction-hydrology link pairs that do not have intersections in space, the value is directly assigned. , indicating that there is no conflict between them; the constructed construction-hydrology coupling conflict matrix is ​​finally output.

[0007] Furthermore, combining the construction-hydrology coupling conflict matrix with the hydrological risk prediction, the process of formulating the spatiotemporal safety window strategy set for the construction link includes: Screen out high conflict intensity links from the construction-hydrology coupling conflict matrix: set a high conflict threshold, when the matrix elements When the value is greater than the high conflict threshold, it is determined that there is a high intensity conflict between the corresponding construction link and the hydrological control link, and these links are extracted as key focus objects; A pre-defined hydrological risk model is used. Based on this model, the geographical location and construction characteristics of high-conflict links are combined to predict future safe construction periods, which are referred to as safety windows. Based on the earliest start time and latest completion time constraints of the construction links, and combined with the predicted safety windows, the time interval within which construction is permitted is generated for each construction link. Priority labels are assigned to construction links based on conflict intensity and watershed importance. Construction links are divided into three priority levels: D1 for emergency, D2 for important, and D3 for general. A complete policy triplet is output for each construction link: {construction link ID, safety window [start and end time], priority label}. The policy triplet of all construction links is aggregated to form a spatiotemporal safety window policy set.

[0008] Furthermore, according to the spatiotemporal safety window strategy set, the construction task is decomposed into atomic operation units and coordination factors are assigned. The process of finally obtaining a set of coordination-constrained task packages includes: Obtain the spatiotemporal security window policy set, which details the ID, security window (start and end time), and priority tag information of each construction link. For each construction link in the strategy set, the task is split into indivisible atomic operation units. After splitting the atomic operation units, mark the dependencies for each unit. Dependencies include strict dependencies and flexible dependencies. After completing the atomic operation unit splitting and dependency annotation, enter the collaborative factor injection phase: through a comprehensive analysis of all atomic operation units, identify the atomic operation unit groups with cross-project linkage; for these identified collaborative unit groups, assign them unique collaborative identifiers At the same time, based on the degree and requirements of spatiotemporal correlation between collaborative unit groups, the types of collaboration are defined: strong collaboration and weak collaboration. Strong collaboration requires strict spatiotemporal synchronization; weak collaboration allows for time offsets and guarantees the order of operations. Each atomic operation unit is encapsulated as a set of collaborative constraint task packages.

[0009] Furthermore, based on the collaborative constraint task package set, the process of generating a preliminary scheduling plan through the resource-collaboration dual constraint graph and the genetic evolution algorithm includes: Input a set of collaborative constraint task packages and obtain pre-prepared resource pool data, which includes key information such as equipment quantity and manpower quota; Construct a resource-cooperation dual-constraint graph: All atomic operation units in the collaborative constraint task package set are used as vertices in the graph. Edges are established based on resource competition. If two atomic operation units compete for the same equipment or manpower, a resource competition edge is established. For unit groups with collaborative identifiers, collaborative dependency edges are added based on the collaborative relationship between them. Collaborative dependency edges are assigned positive weights, and the weight of strong collaboration is greater than that of weak collaboration. After constructing the resource-collaboration dual-constraint graph, a genetic evolutionary algorithm is used for iterative optimization: randomly generating task scheduling sequences that meet the safety window constraints, each sequence represents a chromosome; setting a fitness function to evaluate the quality of each chromosome; and performing selection, crossover, and mutation operations: in the selection phase, chromosomes with high fitness are retained; in the crossover phase, all unit group sequences with the same collaborative identifier are cross-exchanged; and in the mutation phase, the execution timing of non-collaborative tasks is randomly offset within the safety window. After multiple rounds of selection, cross-mutation, and operation, the Pareto optimal solution is selected from the numerous scheduling schemes generated. The selection criteria are that the resource conflict rate is less than the preset resource conflict threshold and the coordination achievement rate is greater than the preset coordination achievement threshold. Finally, a preliminary coordinated scheduling scheme is output. In the preliminary coordinated scheduling scheme, safe hydrological conditions are set. In addition, a construction schedule is formulated based on the task requirements, resource conditions, and coordination relationships of each atomic operation unit.

[0010] Furthermore, a preliminary scheduling plan is deployed, and the hydrological mutation and construction deviation are monitored in real time through dynamic calculation of risk entropy. The process of generating a risk entropy early warning report includes: Input a preliminary scheduling plan; continuously acquire real-time hydrological data and construction flow data through various sensors pre-placed at hydrological monitoring stations and construction sites; compare and analyze the acquired real-time hydrological and construction flow data with the safe hydrological conditions and construction schedule set in the preliminary scheduling plan; when real-time hydrological data exceeds the safe hydrological condition range, or the deviation between the actual progress of an atomic operation unit in the construction flow data and the planned progress exceeds the allowable range, use the positioning information of the sensor location and its connection with the construction area geographic information system to determine the specific location where the risk event occurred. This location information is the risk event coordinates; Combined with real-time data obtained from the spatiotemporal water conservancy topology network, it is compared and analyzed with the hydrological data obtained in advance through model predictions, and the hydrological mutation entropy value between the current actual flow and the predicted flow is calculated. Based on the planned progress formulated for each atomic operation unit in the preliminary scheduling plan, the actual progress of each atomic operation unit obtained is compared with the planned progress to obtain the progress deviation value. At the same time, the resource consumption during the construction process is analyzed, including the occurrence of abnormal resource consumption values. The progress deviation value and the abnormal resource consumption value are combined, and the construction deviation entropy is calculated using the joint information entropy calculation method. After calculating the hydrological mutation entropy and construction deviation entropy, a fusion entropy warning mechanism is implemented: the hydrological mutation entropy and construction deviation entropy are fused and analyzed to obtain a fusion entropy value. At the same time, a dynamic threshold is set based on historical data and the actual situation of the current construction environment. If the fusion entropy value is greater than the dynamic threshold, it is determined to be a high-risk event. Once a high-risk event is determined, the atomic operation unit ID corresponding to the excessive entropy value is quickly located, and a risk entropy warning report is finally generated: {risk event coordinates, fusion entropy value, associated collaborative identifier}.

[0011] Furthermore, the scheduling plan is dynamically reconstructed based on the risk entropy warning report, and the process of triggering the rebinding of synergy factors includes: Receive risk entropy warning reports, including risk event coordinates, fused entropy values, and associated collaborative identifier information; reschedule high-risk atomic operation units with entropy values ​​exceeding the limit reported in the risk entropy warning report; suspend high-risk atomic operation units with entropy values ​​exceeding the limit and recalculate feasible time slots within the remaining interval of their safety window; For atomic operation units belonging to a collaborative unit group, the identifier of the collaborative unit group must remain unchanged during the rescheduling process; the execution timing of the units in the group is adjusted to meet the newly calculated time slot constraints; After completing the rescheduling of high-risk tasks, further analyze the impact of external factors of hydrological mutation on the collaborative unit group: if the hydrological mutation makes the original collaborative unit group infeasible, then release the binding relationship of all units under the collaborative identifier; after the binding relationship is released, match the affected units with a new collaborative group based on the current spatiotemporal water conservancy topology network status; assign a collaborative identifier to the newly added collaborative group , the collaborative identifier is used to uniquely identify the newly added collaborative group; at the same time, the collaborative constraint task package is updated, specifically including replacing the invalid identifier; adding a new collaborative dependency; The updated atomic operation unit package is re-entered into step S5 for scheduling optimization; the optimized scheduling plan enters the monitoring link of step S6 again to monitor hydrological mutations and construction deviations in real time and calculate risk entropy; through continuous monitoring and calculation, possible risks in the new plan are discovered in a timely manner; and finally, the optimized collaborative scheduling plan is output.

[0012] Compared with the existing technology, the beneficial effects of the present invention are as follows: by integrating multi-basin hydrological and construction data, a network is formed based on the spatiotemporal coupling relationship, the spatial correlation of water conservancy elements is accurately presented, and a data basis is provided for subsequent scheduling; by traversing the network to locate the cross-conflict areas of construction and hydrological regulation links, the hard and soft conflict types are clarified and the intensity is calculated, a conflict matrix is ​​constructed, and potential contradictions are resolved in advance; by combining the conflict matrix with risk prediction, high-conflict links are screened and safe construction periods are predicted, and time intervals with priority labels are generated to ensure operation safety and efficiency; by decomposing tasks into atomic operation units, annotating dependencies and assigning collaborative identifiers, cross-project linkage requirements are clarified and collaborative capabilities are improved; by optimizing task sequences through resource-collaboration dual constraint graphs and genetic algorithms, the resource conflict rate is reduced, the collaborative achievement rate is improved, and feasible solutions are output; by calculating the hydrological mutation entropy and construction deviation entropy in real time, an early warning is triggered after fusion analysis, and high-risk units are quickly located to provide a basis for rescheduling; high-risk tasks are suspended based on the early warning, and the timing of collaborative units is adjusted or unbound and reorganized to ensure that the solution adapts to hydrological mutations. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a flow chart of a construction scheduling method for coordinated linkage of cross-basin water conservancy projects proposed by the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0015] Reference Figure 1 , a construction scheduling method for coordinated linkage of cross-basin water conservancy projects, including: S1. Integrate hydrological monitoring data and construction progress data from multiple basins to construct a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships. S2. Identify the intersection and conflict areas between construction links and hydrological regulation links in the spatiotemporal water conservancy topological network, quantify and analyze the conflict intensity, and construct a construction-hydrology coupling conflict matrix; S3. Combine the construction-hydrology coupling conflict matrix with the hydrological risk prediction to formulate a set of spatiotemporal safety window strategies for the construction link; S4. Based on the spatiotemporal safety window strategy set, the construction task is decomposed into atomic operation units and coordinated factors are assigned to obtain a set of coordinated constraint task packages. S5. Based on the collaborative constraint task package set, a preliminary scheduling plan is generated through the resource-collaboration dual constraint graph and genetic evolution algorithm; S6. Deploy a preliminary dispatching plan and monitor hydrological mutations and construction deviations in real time through dynamic risk entropy calculation to generate a risk entropy early warning report. S7. Dynamically reconstruct the scheduling plan based on the risk entropy warning report and trigger the rebinding of the synergy factors.

[0016] It should be further explained that, in the specific implementation process, the process of integrating hydrological monitoring data from multiple basins with construction progress data and constructing a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships includes: Read the hydrological station flow time series data and construction unit progress report data; uniformly map the data to the GIS geographic coordinate system; hydrological data is segmented according to the watershed grid, and construction progress data is decomposed into corresponding time segments according to the project section, and spatiotemporal index tags are established for them to facilitate subsequent spatiotemporal correlation analysis; Define and set attributes for key elements in the network: define reservoirs and sluice gates as control nodes, record their real-time water storage capacity and gate status codes to intuitively reflect their ability and status to control water flow; define water diversion channels and natural rivers as transmission edges, record their current flow rate and maximum water flow capacity to reflect their water flow transmission characteristics and load-bearing limits; define construction sections (such as cofferdams and tunnels) as load nodes, and assign construction stage coding attributes to clarify the specific stage of construction; The edge-node coupling weight is calculated based on the real-time flow of the transmission edge and the construction intensity of the construction section where the load node is located. For example, if foundation pit construction is underway next to a high-flow river channel, the edge-node coupling weight will be increased to reflect the impact of this spatiotemporal interaction. All defined nodes and edges are integrated to output a spatiotemporal water conservancy topological network, which includes a node state matrix to record the key attributes of each node; it also includes an edge capacity tensor to record the attribute information of each edge, thereby fully presenting the coupling relationship between multi-basin hydrology and construction progress in the spatiotemporal dimension.

[0017] It should be further explained that, during the specific implementation process, the process of identifying the intersection and conflict areas between the construction link and the hydrological regulation link in the spatiotemporal water conservancy topological network, quantifying and analyzing the conflict intensity, and constructing the construction-hydrology coupling conflict matrix includes: A comprehensive traversal operation is performed based on the established spatiotemporal hydraulic topology network. During the traversal, the spatial intersection of load nodes (i.e., construction sections) and transmission edges (i.e., hydrological control links) is searched. For example, during the construction of a diversion channel, the construction scope will occupy the water-passing section of the main river channel. This spatial overlap is a potential conflict point. After identifying the conflict area, the conflict type is clearly marked. Conflicts are categorized into hard and soft conflicts. Hard conflicts occur when construction activities directly block water flow, such as building a cofferdam in a river for foundation construction, which prevents water from flowing through the area. Soft conflicts occur when vibrations generated by construction affect the normal operation of gates or other water conservancy facilities. For example, blasting operations near gates can cause vibrations that could cause malfunctions in the gate's opening and closing. Calculate the conflict intensity factor to accurately measure the severity of the conflict: For hard conflicts, the intensity calculation formula is: , Where, is the hard conflict intensity; They are the construction link and hydrological control link indexes respectively; is the construction phase coefficient, , for example, foundation pit construction = 3, cofferdam construction = 2, conventional construction = 1; is the hydrological sensitivity coefficient, , for example, flood season = 2, normal water season = 1, dry season = 0.5; is the stage-hydrological coupling index (value range [1.5, 2.5], determined by regression of historical data); is an exponential function with the natural constant e as the base, indicating that Deviation from baseline time , the weight of hard conflict intensity gradually decays; is the time attenuation coefficient; is the current timestamp; is the benchmark time for hard conflict events (such as the moment of cofferdam closure); the construction stage coefficient is determined according to the different stages of construction, and different construction stages have different degrees of impact on water flow; the hydrological sensitivity coefficient is related to the construction time. During the flood season, the water flow is complex and the water volume is large, and the impact of construction on hydrology is more significant. At this time, the hydrological sensitivity coefficient is the highest. During the dry season, the water flow is relatively stable and the water volume is small, and the hydrological sensitivity coefficient is the lowest. For soft conflict, its intensity calculation formula is: , Where, is the soft conflict intensity; is the device sensitivity, , for example, precision gate = 5, ordinary valve = 1; is the construction vibration level, , obtained based on the measured vibration power spectrum density value; is the standard deviation of vibration intensity; is the number of vibration sampling points; the equipment sensitivity depends on the precision of the hydraulic equipment affected by construction vibration, with precision gates and other equipment having the highest sensitivity; the construction vibration level is divided according to the magnitude of the vibration generated by the construction; the greater the vibration, the higher the level; After the calculation of the conflict intensity factor is completed, a construction-hydrology coupling conflict matrix with N rows and M columns is established; where N represents the total number of construction links, M represents the total number of hydrological control links, and the elements in the matrix are For storing The construction link and The conflict intensity level between the hydrological regulation links, The level is mapped to the interval [0,1] through normalization processing to facilitate subsequent analysis and comparison; for construction-hydrology link pairs that do not have spatial intersections, a value is directly assigned. , indicating that there is no conflict between them; the final output is the constructed construction-hydrology coupling conflict matrix: , This matrix will provide important data support for the subsequent formulation of reasonable construction scheduling plans and response strategies.

[0018] It should be further explained that, during the specific implementation process, the process of formulating the spatiotemporal safety window strategy set for the construction link, combining the construction-hydrology coupling conflict matrix with the hydrological risk forecast, includes the following: Screen out high conflict intensity links from the construction-hydrology coupling conflict matrix: set a high conflict threshold, when the matrix elements When the value is greater than the high conflict threshold, it is determined that there is a high intensity conflict between the corresponding construction link and the hydrological control link, and these links are extracted as key focus objects; A pre-set hydrological risk model is called; this model integrates key factors such as flood probability and drought index to scientifically assess hydrological risks at different time periods. Based on this model, the geographic location and construction characteristics of high-conflict links are combined to predict future safe periods for construction, which are referred to as safety windows. For example, by analyzing the movement path and arrival time of the flood peak, the time window with complex water flow and high risk before the flood peak is avoided, thereby determining a relatively safe and suitable time period for construction. Based on the earliest start time and latest completion time constraints of the construction link, and combined with the predicted safety window, the time interval within which construction is allowed is generated for each construction link. The earliest start time and latest completion time constraints define the feasible time range for construction. The specific time interval within which construction is allowed for each construction link is represented by [start time, end time]. Construction links are assigned priority labels based on conflict intensity and basin importance. Conflict intensity refers to links with high conflict intensity filtered from the conflict matrix. Basin importance refers to the fact that, in a water conservancy system, the main basin plays a key role in flood control, irrigation, and water supply for the entire region and is therefore more important than tributaries. Construction links are divided into three priority levels: D1 (urgent), where these links have high conflict intensity and are located in the main basin, posing the greatest impact on the overall project progress and safety; D2 (important), where these links have high conflict intensity or are located in important tributaries, causing some impact on the project; and D3 (general), where these links have relatively low conflict intensity and are located in ordinary tributaries, minimizing the impact on the project. A complete policy triplet is output for each construction link: {construction link ID, safety window [start and end time], priority label}. The policy triplet for all construction links is aggregated to form a spatiotemporal safety window policy set. This policy set provides clear and specific guidance for subsequent construction scheduling, ensuring that construction activities proceed smoothly within a safe time and space, while minimizing the risk of conflict between construction and hydrological regulation.

[0019] It should be further explained that, in the specific implementation process, the construction task is decomposed into atomic operation units and the coordination factors are assigned according to the spatiotemporal safety window strategy set. The process of finally obtaining the coordination constraint task package set includes: Obtain the spatiotemporal security window policy set, which details the ID, security window (start and end time), and priority tag information of each construction link. The tasks corresponding to each construction link in the strategy set are split into indivisible atomic operation units. For example, the construction link task of diversion tunnel construction can be further decomposed into multiple atomic operation units, such as geological exploration unit, drilling layout unit, blasting excavation unit, and lining pouring unit. This decomposition method can refine complex construction tasks into specific operational steps, facilitating subsequent resource allocation, progress management, and collaborative control. After completing the splitting of the atomic operation units, the dependencies are marked for each unit. Dependencies include strict dependencies and flexible dependencies. Strict dependencies mean that there is a clear sequence between certain operation units. The next unit can only be carried out after the previous unit is completed. For example, after the blasting excavation unit is completed, the slag removal unit must be executed before subsequent work such as lining pouring can be carried out. Otherwise, it will affect the construction quality and safety. Flexible dependencies mean that some operation units have a certain degree of flexibility in time and can be carried out in parallel. For example, the lining pouring unit and the monitoring equipment installation unit can be carried out simultaneously if resources permit, so as to improve construction efficiency. After completing the splitting of atomic operation units and the annotation of dependencies, the collaborative factor injection phase begins: by comprehensively analyzing all atomic operation units, we identify groups of atomic operation units that are linked across projects; for example, the reservoir 1 flood gate maintenance unit and the downstream river 2 diversion construction unit, although these two units belong to different project parts, there is a close temporal and spatial relationship between them. The maintenance time of the flood gate and the time of diversion construction need to be coordinated with each other, otherwise it may cause flood disasters or affect the construction progress; for these identified collaborative unit groups, they are assigned unique collaborative identifiers , to facilitate unified management and tracking; at the same time, based on the degree and requirements of spatiotemporal correlation between collaborative unit groups, the types of collaboration are defined: strong collaboration and weak collaboration. Strong collaboration requires strict spatiotemporal synchronization. For example, gate opening and downstream personnel evacuation must be completed at the same time. Time deviation in any link may lead to serious safety accidents. Weak collaboration allows time offset and guarantees the operation sequence. For example, the downstream reinforcement work must be started within 48 hours after the upstream cofferdam is dismantled. The downstream reinforcement can be completed within this time frame, but the upstream cofferdam must be dismantled first. Each atomic operation unit is encapsulated as a set of collaborative constraint task packages; each task package contains an atomic operation unit ID, which is used to uniquely identify the operation unit; a required resource list, which lists in detail the various types of resources required to complete the unit, such as manpower, material resources, equipment, etc.; a collaborative identifier, which indicates whether the unit belongs to a collaborative unit group and the collaborative group identifier to which it belongs; and a safety window constraint, which determines the time range within which the unit is allowed to be constructed based on the spatiotemporal safety window policy set. Through this encapsulation method, all key information of the atomic operation unit is integrated together to form a complete task package with collaborative constraints, providing clear guidance for subsequent construction scheduling and collaborative execution.

[0020] It should be further explained that, in the specific implementation process, based on the collaborative constraint task package set, the process of generating a preliminary scheduling plan through the resource-collaboration dual constraint graph and the genetic evolution algorithm includes: Input a set of collaborative constraint task packages and obtain pre-prepared resource pool data, which includes key information such as equipment quantity and manpower quota; Construct a resource-collaboration dual-constraint graph: All atomic operation units in the collaborative constraint task package set are used as vertices in the graph. These vertices represent the specific operation steps in the construction process. Edges are established based on resource competition. If two atomic operation units compete for the same equipment or manpower, a resource competition edge is established. For example, if multiple construction links require the use of a crane, resulting in a crane occupancy conflict, a resource competition edge is established between the vertices corresponding to these two units. The establishment of such edges can clearly reflect the conflict in resource use, providing an important basis for subsequent scheduling optimization. For unit groups with collaboration identifiers, collaboration dependency edges are added based on the collaborative relationship between them. Collaborative dependency edges carry positive weights, and strong collaborations are weighted more heavily than weak collaborations. As can be seen, strong collaborations require strict spatiotemporal synchronization and higher scheduling accuracy, so they are given a greater weight in the graph to reflect their priority in the scheduling process. By establishing a resource-collaboration dual constraint graph, not only are resource competition relationships reflected, but also the collaborative dependencies between operating units, providing comprehensive constraint information for generating scheduling solutions. After completing the construction of the resource-cooperation dual constraint graph, we use the genetic evolutionary algorithm for iterative optimization: randomly generate task scheduling sequences that meet the safety window constraints, each sequence representing a chromosome. It is understandable that the initial population generation strictly follows the safety window constraints of each atomic operation unit in the set of collaborative constraint task packages to ensure that the generated scheduling sequence is feasible in terms of time. Set a fitness function to evaluate the quality of each chromosome: , Where, It represents a function that evaluates the fitness of a chromosome (i.e., a scheduling scheme). Its return value is a numerical value used to measure the quality of the chromosome (scheduling scheme); Optimize the objective for resource contention edges to minimize the weighted impact of resource conflicts; A collection of edges competing for resources (sharing cranes / excavators); Any edge in the resource competition edge set and the collaborative dependency edge set; weights for resource competition (based on historical conflict frequencies); Allocate distance to resources (how long it takes for the device to move); is the equipment movement efficiency parameter; through the exponential decay function Penalize long-distance resource allocation and encourage local resource reuse; Optimize the objective of collaborative dependency edges to maximize the nonlinear growth of collaborative benefits; is a set of collaborative dependency edges (cofferdam-flood gate linkage); is the collaborative delay time; is the cooperative fault-tolerant window; The coordination delay is logarithmically amplified to strengthen the penalty for serious coordination violations. Specifically, the fractional structure represents a balance between minimizing resource conflicts and maximizing coordination benefits. The smaller the numerator (the fewer resource conflicts), the larger the denominator (the higher the coordination benefit), the higher the fitness value, and the better the chromosome. Selection, crossover, and mutation operations are performed: in the selection phase, chromosomes with high fitness are retained. The scheduling schemes represented by these chromosomes perform better in resource utilization and coordination. In the crossover phase, the unit group sequence with the same coordination identifier is cross-exchanged as a whole. It is understandable that the unit groups with the same coordination identifier have a close coordination relationship. The overall cross-exchange can better maintain the integrity of the coordination relationship and avoid coordination failure due to partial crossover. In the mutation phase, the execution timing of non-cooperative tasks is randomly offset within the safety window. Since non-cooperative tasks have relatively flexible requirements on the time sequence, random offset within the safety window can increase the diversity of the population and help discover more optimal scheduling schemes. After multiple rounds of selection, cross-mutation operations, the Pareto optimal solution is selected from the numerous scheduling schemes generated; the selection criteria are schemes with a resource conflict rate less than a preset resource conflict threshold (e.g. 5%) and a coordination achievement rate greater than a preset coordination achievement threshold (e.g. 90%), where the resource conflict rate reflects the rationality of resource utilization in the scheduling scheme, and the coordination achievement rate reflects the satisfaction of the coordination relationship between the coordination unit groups; the final output is a preliminary coordination scheduling scheme, which includes a task timing Gantt chart, which can intuitively display the start time, end time and duration of each atomic operation unit; at the same time, the Gantt chart is marked The synchronous execution intervals of the collaborative task groups are noted so that construction personnel and management personnel can clearly understand which tasks need to be carried out simultaneously, so as to better organize and coordinate construction work. In the preliminary collaborative scheduling plan, safe hydrological conditions are set. These conditions integrate the tolerance ranges of hydrological factors in different construction stages, such as flood flow thresholds and water level fluctuations, to ensure that the construction process is carried out in a hydrologically safe environment. In addition, a construction schedule is formulated based on the task requirements, resource conditions, and collaborative relationships of each atomic operation unit, clarifying the start and end times of each atomic operation unit, providing a benchmark for subsequent construction monitoring and risk warning.

[0021] It should be further explained that during the specific implementation process, the initial scheduling plan is deployed, and the hydrological mutation and construction deviation are monitored in real time through dynamic calculation of risk entropy. The process of generating a risk entropy early warning report includes: Input a preliminary scheduling plan; continuously acquire real-time hydrological data (such as flow) and construction flow data (including the actual progress of each atomic operation unit and resource consumption) through various sensors pre-deployed at hydrological monitoring stations and construction sites; compare and analyze the acquired real-time hydrological data and construction flow data with the safe hydrological conditions and construction schedule set in the preliminary scheduling plan; when real-time hydrological data exceeds the safe hydrological condition range, such as the actual flow exceeds the warning flow threshold, or the deviation between the actual progress of the atomic operation unit in the construction flow data and the planned progress exceeds the allowable range, use the positioning information of the sensor location and its association with the construction area geographic information system to determine the specific location where the risk event occurred. This location information is the risk event coordinate. For example, if a sensor at a monitoring station detects an abnormal increase in flow, the coordinates of the specific construction area affected are determined by locating the station on the construction area map and combining it with the distribution of surrounding construction tasks. These coordinates are used as the risk event coordinates; Combined with the real-time data obtained from the spatiotemporal water conservancy topology network, it is compared and analyzed with the hydrological data obtained in advance through the model prediction, and the hydrological mutation entropy value between the current actual flow and the predicted flow is calculated: , Where, The mutation entropy value is used to quantify the uncertainty of hydrological events; is the index of the hydrological event category, is the number of hydrological event categories; For the Probability of quasi-hydrological events; is the event sensitivity weight; is the rate of change of hydrological variables; is a hydrological variable; a higher hydrological mutation entropy value indicates a greater risk of prediction failure; for example, if the forecast shows a relatively stable flow during a certain period, but real-time monitoring shows a sudden and significant increase in flow, the calculated hydrological mutation entropy value will be higher, suggesting that attention should be paid to the impact of possible disasters such as floods and mudslides on construction; based on the planned progress formulated for each atomic operation unit in the preliminary scheduling plan, the actual progress of each atomic operation unit obtained is compared with the planned progress to obtain the progress deviation value; at the same time, the resource consumption during the construction process is analyzed, including the occurrence of abnormal resource consumption (for example, human and material resource consumption far exceeds or falls far below the plan); the progress deviation value and the resource consumption abnormal value are combined, and the construction deviation entropy is calculated using the joint information entropy method: , Where, is the construction deviation entropy, which is used to quantify the degree of deviation of the construction process from the plan; is the index of the construction deviation type, is the number of construction deviation types; For the Construction deviation (such as axis offset); is the standard deviation of construction accuracy; is the nonlinear amplification coefficient (value range [1.2, 1.8]); the construction deviation entropy reflects the degree of deviation between the construction process and the planned scheme. The larger the construction deviation entropy value, the more serious the construction deviation, which may be caused by poor management, unexpected situations and other problems, which will have an adverse impact on the construction progress and quality. After completing the calculation of hydrological mutation entropy and construction deviation entropy, the fusion entropy early warning mechanism is implemented: the fusion analysis of hydrological mutation entropy and construction deviation entropy is performed to obtain the fusion entropy value: , Where, To integrate the entropy value, the hydrological mutation entropy and the construction deviation entropy are combined to measure the overall risk level; 、 is the dynamic weight coefficient (α=0.6, β=0.4 in flood season; α=0.4, β=0.6 in non-flood season); This is used for normalization to prevent a single entropy value from dominating the results. At the same time, a dynamic threshold is set based on historical data and the actual conditions of the current construction environment. If the fused entropy value is greater than this dynamic threshold, it is considered a high-risk event, indicating that the combined effects of hydrological mutations and construction deviations may have a serious impact on construction, requiring immediate action. Once a high-risk event is determined, the atomic operation unit ID corresponding to the excessive entropy value is quickly located, and a risk entropy warning report is finally generated: {risk event coordinates, fused entropy value, associated collaborative identifier}; among them, these atomic operation units may be the key links leading to risk events and need to be paid special attention and handled; the risk entropy warning report contains the specific coordinates of the risk event (in order to accurately determine the risk location), the fused entropy value (to intuitively reflect the severity of the risk) and the associated collaborative identifier (if the atomic operation unit belongs to a collaborative unit group, the associated collaborative identifier helps to understand its impact on the entire collaborative construction); through this report, construction personnel and management personnel can timely grasp the risk situation in the construction process, take corresponding measures to adjust and optimize, and ensure construction safety and progress.

[0022] It should be further explained that, in the specific implementation process, the scheduling plan is dynamically reconstructed based on the risk entropy warning report, and the process of triggering the rebinding of synergy factors includes: Receive a risk entropy warning report, including the coordinates of the risk event, the fused entropy value, and the associated collaborative identifier information; reschedule high-risk atomic operation units with entropy values ​​exceeding the limit in the risk entropy warning report; understandably, since these units have significant risk hazards, continued execution may have a serious impact on construction safety, progress, or quality, and therefore need to be suspended immediately; suspend high-risk atomic operation units with entropy values ​​exceeding the limit, and recalculate feasible time slots within the remaining interval of their safety window; wherein, the spatiotemporal safety window strategy of step S3 is used here to ensure that the recalculated time slots both meet safety requirements and make full use of existing resources; For atomic operation units belonging to a collaborative unit group, the identifier of their collaborative unit group must remain unchanged during the rescheduling process. This is understandable because there is a collaborative relationship between collaborative unit groups, which is crucial to the overall efficiency and effectiveness of the construction. The execution sequence of the units within the group is adjusted to meet the newly calculated time slot constraints. For example, if a collaborative unit group contains three atomic operation units x, y, and z, and it was originally planned that x would be executed first, followed by y and z in a certain order, but because the unit where x belongs has a high risk and needs to be rescheduled, after recalculating the time slot, it may be adjusted to y to be executed first, and x and z to be executed in sequence at the appropriate time, while ensuring that the collaborative relationship between them is not affected. After completing the rescheduling of high-risk tasks, further analyze the impact of external factors of hydrological mutation on the collaborative unit group: if the hydrological mutation makes the original collaborative unit group unfeasible, then release the binding relationship of all units under the collaborative identifier; for example, the upstream reservoir cannot discharge flood water, and some units in the original collaborative unit group are based on the normal flood discharge conditions of the reservoir for collaborative construction, then at this time it is necessary to release the binding relationship of all units under the collaborative identifier; since the original collaborative conditions have changed, continuing to maintain the binding relationship may cause construction chaos or fail to achieve the expected results; after releasing the binding relationship, match the affected units with a new collaborative group based on the current spatiotemporal water conservancy topology network status; for example, bind the diversion construction unit to the reservoir gate maintenance unit, because the reservoir gate maintenance may affect the water flow direction and flow, and the diversion construction unit needs to be adjusted according to the water flow conditions, and binding the two can achieve better collaborative construction; assign a collaborative identifier to the new collaborative group The collaborative identifier is used to uniquely identify the newly added collaborative group, which is convenient for subsequent management and scheduling. At the same time, the collaborative constraint task package is updated, specifically including replacing the invalid identifier and replacing the identifier of the original collaborative unit group with the new collaborative identifier. Added new collaborative dependencies, clarifying the dependencies between them, such as sequence and synchronization requirements, based on the actual collaborative needs of each unit in the newly added collaborative group; The updated atomic operation unit package is re-entered into step S5 for scheduling optimization; it is understandable that by using the resource-collaboration dual constraint graph and the genetic evolution algorithm in step S5, multiple factors such as resource competition and collaborative dependence can be comprehensively analyzed, the updated atomic operation unit package can be comprehensively optimized, and a more reasonable scheduling plan can be generated; the optimized scheduling plan enters the monitoring link of step S6 again, monitoring hydrological mutations and construction deviations in real time, and calculating the risk entropy; through continuous monitoring and calculation, the risks that may exist in the new plan are discovered in time: if the risk entropy meets the standard, it means that the current scheduling plan can effectively deal with various risks in the construction process and meet the construction requirements; if the risk entropy still does not meet the standard, the adjustment and optimization process of this step is repeated until the risk entropy meets the standard requirements; finally, the optimized collaborative scheduling plan is output. After multiple adjustments and optimizations, the plan is highly scientific and feasible and can provide reliable guidance for construction.

[0023] It should be understood that determining B based on A does not mean determining B based solely on A. B can also be determined based on A and / or other information.

[0024] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0025] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A construction scheduling method for coordinated linkage of cross-basin water conservancy projects, characterized by: S1. Integrate hydrological monitoring data and construction progress data from multiple basins to construct a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships. S2. Identify the intersection and conflict areas between construction links and hydrological regulation links in the spatiotemporal water conservancy topological network, quantify and analyze the conflict intensity, and construct a construction-hydrology coupling conflict matrix; S3. Combine the construction-hydrology coupling conflict matrix with the hydrological risk prediction to formulate a set of spatiotemporal safety window strategies for the construction link; S4. Based on the spatiotemporal safety window strategy set, the construction task is decomposed into atomic operation units and coordinated factors are assigned to obtain a set of coordinated constraint task packages. S5. Based on the collaborative constraint task package set, a preliminary scheduling plan is generated through the resource-collaboration dual constraint graph and genetic evolution algorithm; S6. Deploy a preliminary dispatching plan and monitor hydrological mutations and construction deviations in real time through dynamic risk entropy calculation to generate a risk entropy early warning report. S7. Dynamically reconstruct the scheduling plan based on the risk entropy warning report and trigger the rebinding of the synergy factors.

2. The method for coordinated construction scheduling of cross-basin water conservancy projects according to claim 1, characterized in that: The process of integrating hydrological monitoring data from multiple basins with construction progress data and constructing a spatiotemporal water conservancy topological network based on spatiotemporal coupling relationships includes: Read the hydrological station flow time series data and construction unit progress report data; uniformly map the data to the GIS geographic coordinate system; among them, the hydrological data is segmented according to the watershed grid, and the construction progress data is decomposed into corresponding time segments according to the project section, and spatiotemporal index tags are established for them; Define and set attributes for key elements in the network: define reservoirs and sluice gates as control nodes, record their real-time water storage capacity and gate status codes; define water transfer channels and natural rivers as transmission edges, record current flow and maximum water flow capacity; define construction sections as load nodes, and assign attributes to construction stage codes; Calculate the edge-node coupling weight based on the real-time traffic of the transmission edge and the construction intensity of the construction section where the load node is located; Integrate all defined nodes and edges and output the spatiotemporal water conservancy topology network.

3. The method for coordinated construction scheduling of cross-basin water conservancy projects according to claim 1, characterized in that: The process of identifying the intersecting conflict areas between construction links and hydrological regulation links in the spatiotemporal water conservancy topological network, quantifying and analyzing the conflict intensity, and constructing the construction-hydrology coupling conflict matrix includes: Based on the constructed spatiotemporal water conservancy topology network, a comprehensive traversal operation is performed; during the traversal process, the spatial intersection area of ​​the load nodes and the transmission edges is searched; After determining the conflict area, the conflict type is clearly marked: there are two types of conflicts: hard conflicts and soft conflicts. Hard conflicts are manifested as construction activities directly blocking water flow; soft conflicts are caused by vibration factors generated by construction affecting the normal operation of gates or other water conservancy facilities. Calculate conflict intensity factors to accurately measure the severity of conflicts, including hard conflict intensity and soft conflict intensity ; After the calculation of the conflict intensity factor is completed, a construction-hydrology coupling conflict matrix with N rows and M columns is established; where N represents the total number of construction links, M represents the total number of hydrological control links, and the elements in the matrix are For storing The construction link and The conflict intensity level between the hydrological regulation links, The level is mapped to the interval [0,1] through normalization; for construction-hydrology link pairs that do not have intersections in space, the value is directly assigned. , indicating that there is no conflict between them; the constructed construction-hydrology coupling conflict matrix is ​​finally output.

4. The method for coordinated construction scheduling of cross-basin water conservancy projects according to claim 1, characterized in that: Combining the construction-hydrology coupling conflict matrix with hydrological risk prediction, the process of formulating a set of spatiotemporal safety window strategies for the construction link includes: Screen out high conflict intensity links from the construction-hydrology coupling conflict matrix: set a high conflict threshold, when the matrix elements When the value is greater than the high conflict threshold, it is determined that there is a high intensity conflict between the corresponding construction link and the hydrological control link, and these links are extracted as key focus objects; A pre-defined hydrological risk model is used. Based on this model, the geographical location and construction characteristics of high-conflict links are combined to predict future safe construction periods, which are referred to as safety windows. Based on the earliest start time and latest completion time constraints of the construction links, and combined with the predicted safety windows, the time interval within which construction is permitted is generated for each construction link. Priority labels are assigned to construction links based on conflict intensity and watershed importance. Construction links are divided into three priority levels: D1 for emergency, D2 for important, and D3 for general. A complete policy triplet is output for each construction link: {construction link ID, safety window [start and end time], priority label}. The policy triplet of all construction links is aggregated to form a spatiotemporal safety window policy set.

5. The method for coordinated construction scheduling of cross-basin water conservancy projects according to claim 1, characterized in that: According to the spatiotemporal safety window strategy set, the construction task is decomposed into atomic operation units and the coordination factors are assigned. The process of finally obtaining the coordination constraint task package set includes: Obtain the spatiotemporal security window policy set, which details the ID, security window (start and end time), and priority tag information of each construction link. For each construction link in the strategy set, the task is split into indivisible atomic operation units. After splitting the atomic operation units, mark the dependencies for each unit. Dependencies include strict dependencies and flexible dependencies. After completing the atomic operation unit splitting and dependency annotation, enter the collaborative factor injection phase: through a comprehensive analysis of all atomic operation units, identify the atomic operation unit groups with cross-project linkage; for these identified collaborative unit groups, assign them unique collaborative identifiers At the same time, based on the degree and requirements of spatiotemporal correlation between collaborative unit groups, the types of collaboration are defined: strong collaboration and weak collaboration. Strong collaboration requires strict spatiotemporal synchronization; weak collaboration allows for time offsets and guarantees the order of operations. Each atomic operation unit is encapsulated as a set of collaborative constraint task packages.

6. The method for coordinated construction scheduling of cross-basin water conservancy projects according to claim 1, characterized in that: Based on the set of collaborative constraint task packages, the process of generating a preliminary scheduling plan through the resource-collaboration dual constraint graph and the genetic evolution algorithm includes: Input a set of collaborative constraint task packages and obtain pre-prepared resource pool data, which includes key information such as equipment quantity and manpower quota; Construct a resource-cooperation dual-constraint graph: All atomic operation units in the collaborative constraint task package set are used as vertices in the graph. Edges are established based on resource competition. If two atomic operation units compete for the same equipment or manpower, a resource competition edge is established. For unit groups with collaborative identifiers, collaborative dependency edges are added based on the collaborative relationship between them. Collaborative dependency edges are assigned positive weights, and the weight of strong collaboration is greater than that of weak collaboration. After constructing the resource-collaboration dual-constraint graph, a genetic evolutionary algorithm is used for iterative optimization: randomly generating task scheduling sequences that meet the safety window constraints, each sequence represents a chromosome; setting a fitness function to evaluate the quality of each chromosome; and performing selection, crossover, and mutation operations: in the selection phase, chromosomes with high fitness are retained; in the crossover phase, all unit group sequences with the same collaborative identifier are cross-exchanged; and in the mutation phase, the execution timing of non-collaborative tasks is randomly offset within the safety window. After multiple rounds of selection, cross-mutation, and operation, the Pareto optimal solution is selected from the numerous scheduling schemes generated. The selection criteria are that the resource conflict rate is less than the preset resource conflict threshold and the coordination achievement rate is greater than the preset coordination achievement threshold. Finally, a preliminary coordinated scheduling scheme is output. In the preliminary coordinated scheduling scheme, safe hydrological conditions are set. In addition, a construction schedule is formulated based on the task requirements, resource conditions, and coordination relationships of each atomic operation unit.

7. The method for coordinated construction scheduling of inter-basin water conservancy projects according to claim 1, characterized in that: The process of deploying a preliminary dispatch plan and monitoring hydrological mutations and construction deviations in real time through dynamic risk entropy calculation to generate a risk entropy early warning report includes: Input a preliminary scheduling plan; continuously acquire real-time hydrological data and construction flow data through various sensors pre-placed at hydrological monitoring stations and construction sites; compare and analyze the acquired real-time hydrological and construction flow data with the safe hydrological conditions and construction schedule set in the preliminary scheduling plan; when real-time hydrological data exceeds the safe hydrological condition range, or the deviation between the actual progress of an atomic operation unit in the construction flow data and the planned progress exceeds the allowable range, use the positioning information of the sensor location and its connection with the construction area geographic information system to determine the specific location where the risk event occurred. This location information is the risk event coordinates; Combined with real-time data obtained from the spatiotemporal water conservancy topology network, it is compared and analyzed with the hydrological data obtained in advance through model predictions, and the hydrological mutation entropy value between the current actual flow and the predicted flow is calculated. Based on the planned progress formulated for each atomic operation unit in the preliminary scheduling plan, the actual progress of each atomic operation unit obtained is compared with the planned progress to obtain the progress deviation value. At the same time, the resource consumption during the construction process is analyzed, including the occurrence of abnormal resource consumption values. The progress deviation value and the abnormal resource consumption value are combined, and the construction deviation entropy is calculated using the joint information entropy calculation method. After calculating the hydrological mutation entropy and construction deviation entropy, a fusion entropy warning mechanism is implemented: the hydrological mutation entropy and construction deviation entropy are fused and analyzed to obtain a fusion entropy value. At the same time, a dynamic threshold is set based on historical data and the actual situation of the current construction environment. If the fusion entropy value is greater than the dynamic threshold, it is determined to be a high-risk event. Once a high-risk event is determined, the atomic operation unit ID corresponding to the excessive entropy value is quickly located, and a risk entropy warning report is finally generated: {risk event coordinates, fusion entropy value, associated collaborative identifier}.

8. The method for coordinated construction scheduling of inter-basin water conservancy projects according to claim 1, characterized in that: The process of dynamically reconstructing the scheduling plan based on the risk entropy early warning report and triggering the rebinding of synergy factors includes: Receive risk entropy warning reports, including risk event coordinates, fused entropy values, and associated collaborative identifier information; reschedule high-risk atomic operation units with entropy values ​​exceeding the limit reported in the risk entropy warning report; suspend high-risk atomic operation units with entropy values ​​exceeding the limit and recalculate feasible time slots within the remaining interval of their safety window; For atomic operation units belonging to a collaborative unit group, the identifier of the collaborative unit group must remain unchanged during the rescheduling process; the execution timing of the units in the group is adjusted to meet the newly calculated time slot constraints; After completing the rescheduling of high-risk tasks, further analyze the impact of external factors of hydrological mutation on the collaborative unit group: if the hydrological mutation makes the original collaborative unit group infeasible, then release the binding relationship of all units under the collaborative identifier; after the binding relationship is released, match the affected units with a new collaborative group based on the current spatiotemporal water conservancy topology network status; assign a collaborative identifier to the newly added collaborative group , the collaborative identifier is used to uniquely identify the newly added collaborative group; at the same time, the collaborative constraint task package is updated, specifically including replacing the invalid identifier; adding a new collaborative dependency; The updated atomic operation unit package is re-entered into step S5 for scheduling optimization; the optimized scheduling plan enters the monitoring link of step S6 again to monitor hydrological mutations and construction deviations in real time and calculate risk entropy; through continuous monitoring and calculation, possible risks in the new plan are discovered in a timely manner; and finally, the optimized collaborative scheduling plan is output.

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