A construction scheduling method for cross-basin water conservancy project collaborative linkage

Abstract

The application relates to the technical field of hydraulic engineering, in particular to a construction scheduling method for cross-basin hydraulic engineering collaborative linkage, which comprises the following steps: constructing a space-time water conservancy topology network, realizing multi-source data fusion and spatial correlation, and providing a basis for accurate scheduling; identifying conflict areas and quantitatively analyzing, discovering potential conflicts between construction and hydrological regulation in advance; formulating a set of space-time safety window strategies, optimizing the construction period in combination with risk prediction, and guaranteeing operation safety and efficiency; decomposing tasks and allocating collaborative factors, clearly defining atomic operation units and dependency relationships, and improving cross-project linkage capability; generating a preliminary scheduling scheme, realizing efficient resource allocation and conflict minimization through a resource-collaboration double-constraint graph and a genetic algorithm; dynamically monitoring risks and reconstructing the scheduling scheme, quickly responding to hydrological mutations and construction deviations, and triggering collaborative factor rebinding to ensure the adaptability and robustness of the scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy engineering, and particularly relates to a construction scheduling method for cross-basin water conservancy engineering collaborative linkage. BACKGROUND

[0002] Current cross-basin construction management still faces some challenges, including the following aspects: Cross-basin water conservancy engineering often involves multiple independent hydrological monitoring systems and construction management systems, and the data formats, collection frequencies and transmission protocols of these systems are different, which leads to difficulties in data integration and makes it difficult to achieve real-time synchronization; In cross-basin water conservancy engineering, construction activities and hydrological regulation may directly or indirectly conflict in space and time, and if not identified and solved in time, it 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, lack of high flexibility and adaptability, and are difficult to respond to dynamic changes in real time, resulting in low construction efficiency and increased costs. Therefore, the present application proposes a construction scheduling method for cross-basin water conservancy engineering collaborative linkage. SUMMARY

[0003] The purpose of the present application is to solve the problems in the background art and propose a construction scheduling method for cross-basin water conservancy engineering collaborative linkage.

[0004] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0005] A construction scheduling method for cross-basin water conservancy engineering collaborative linkage, comprising:

[0006] S1, fuse the hydrological monitoring data and construction progress data of multiple basins, and construct a spatio-temporal water conservancy topology network based on the spatio-temporal coupling relationship;

[0007] S2, identify the intersection conflict area of the construction link and the hydrological regulation link in the spatio-temporal water conservancy topology network, quantitatively analyze the conflict intensity and construct a construction-hydrology coupling conflict matrix;

[0008] S3, combine the construction-hydrology coupling conflict matrix and the hydrological risk prediction to develop a set of spatio-temporal safety window strategies for the construction link;

[0009] S4, according to the set of spatio-temporal safety window strategies, decompose the construction task into atomic operation units and assign a collaborative factor, and finally obtain a set of collaborative constraint task packages;

[0010] S5, based on the set of collaborative constraint task packages, generate a preliminary scheduling scheme through a resource-collaboration double-constraint graph and a genetic evolution algorithm;

[0011] S6, deploy the preliminary scheduling scheme, and through dynamic calculation of risk entropy, monitor the hydrological mutation and construction deviation in real time, and form a risk entropy early warning report;

[0012] S7, dynamically reconstructing a scheduling scheme according to a risk entropy early warning report, and triggering a cooperative factor rebinding.

[0013] Further, the process of fusing multi-basin hydrological monitoring data and construction progress data and constructing a space-time water topology network based on a space-time coupling relationship includes:

[0014] Read the hydrological station flow time series data and construction unit progress report data; map the data to the GIS geographic coordinate system; among them, the hydrological data is divided according to the basin grid, and the construction progress data is divided into corresponding time segments according to the engineering bid section, and a space-time index label is established for them;

[0015] Define and set attributes for key elements in the network: define reservoirs and check gates as control nodes, record their real-time storage capacity and gate state code; define water channels and natural river channels as transmission edges, record the current flow and maximum water capacity; define construction sections as load nodes, and give them construction phase code attributes;

[0016] Based on the real-time flow of the transmission edge and the construction intensity of the load node in the construction section, calculate the edge-node coupling weight;

[0017] Integrate all defined nodes and edges to output the space-time water topology network.

[0018] Further, the process of identifying the intersection conflict area of the construction link and the hydrological control link in the space-time water topology network, quantitatively analyzing the conflict intensity and constructing the construction-hydrology coupling conflict matrix includes:

[0019] Based on the constructed space-time water topology network, perform traversal operation; in the traversal process, search the intersection area of the load node and the transmission edge in space;

[0020] After determining the conflict area, clearly mark the conflict type: the conflict type is divided into hard conflict and soft conflict, the hard conflict is directly blocked by the construction behavior; the soft conflict is the vibration factor generated by the construction affecting the normal operation of the gate or other water conservancy facilities;

[0021] Calculate the conflict intensity factor to accurately measure the severity of the conflict, including the hard conflict intensity and the soft conflict intensity .

[0022] After completing the calculation of the conflict intensity factor, a construction-hydrology coupling conflict matrix of N rows by 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 used to store the th construction link and the the conflict intensity level between the construction and hydrological regulation links, The level is mapped to the interval [0, 1] by normalization processing; for construction-hydrological link pairs that do not exist in space, directly assign , indicating that there is no conflict between them; finally, the constructed construction-hydrological coupling conflict matrix is output.

[0023] Further, in combination with the construction-hydrological coupling conflict matrix and hydrological risk prediction, the process of formulating the spatiotemporal safety window strategy set of the construction link includes:

[0024] Filtering high-conflict-intensity links from the construction-hydrological coupling conflict matrix: setting a high-conflict threshold, when the matrix element is greater than the high-conflict threshold, it is determined that the corresponding construction link and hydrological regulation link have high-intensity conflict, and these links are extracted as the focus of attention;

[0025] Calling the pre-set hydrological risk model; based on the model, combining the geographical location and construction characteristics of the high-conflict-intensity link, predicting the safe time period available for construction in the future, where these safe time periods are safety windows; generating the time interval allowed for construction of each construction link according to the earliest start time and latest completion constraint of the construction link, and combining the predicted safe time period;

[0026] According to the conflict intensity and the importance of the basin, the construction link is given a priority label: the construction link is divided into three priority levels: D1 for emergency level, D2 for important level, and D3 for general level; output a complete strategy triple for each construction link: {construction link ID, safety window [start and end time], priority label}; all strategy triples of construction links are aggregated to form the spatiotemporal safety window strategy set.

[0027] Further, according to the spatiotemporal safety window strategy set, the construction task is divided into atomic operation units and assigned a coordination factor, and finally the set of coordination constraint task packages is obtained, which includes:

[0028] Obtain the spatiotemporal safety window strategy set, where the strategy set records the ID, safety window [start and end time], and priority label information of each construction link in detail;

[0029] For the task corresponding to each construction link in the strategy set, it is divided into indivisible atomic operation units;

[0030] After completing the division of atomic operation units, each unit is labeled with a dependency relationship: the dependency relationship includes two types of strict dependency and flexible dependency;

[0031] After the completion of the atomic operation unit disassembly and dependency annotation, enter the collaborative factor injection phase: through comprehensive analysis of all atomic operation units, identify atomic operation unit groups that exist cross-project linkage; for these identified collaborative unit groups, assign them a unique collaborative identifier ; at the same time, define the collaborative type according to the degree and requirements of the spatio-temporal association between collaborative unit groups: the collaborative type is divided into strong collaboration and weak collaboration, where strong collaboration requires strict spatio-temporal synchronization; weak collaboration allows for time offset and ensures operation order;

[0032] Encapsulate each atomic operation unit as a collaborative constraint task package set.

[0033] Further, based on the collaborative constraint task package set, the process of generating a preliminary scheduling scheme through resource-collaboration double-constrained graph and genetic evolution algorithm includes:

[0034] Input the collaborative constraint task package set and obtain the pre-prepared resource pool data, which includes key information such as the number of devices and manpower quota;

[0035] Build a resource-collaboration double-constrained graph: all atomic operation units in the collaborative constraint task package set are taken as vertices in the graph; for resource competition, establish edges, if two atomic operation units compete for the same device or manpower, establish a resource competition edge;

[0036] For unit groups with collaborative identifiers, based on the existence of collaborative relationship between them, add collaborative dependency edges; where the collaborative dependency edge is accompanied by a positive weight, and the weight of strong collaboration is greater than that of weak collaboration;

[0037] After completing the construction of the resource-collaboration double-constrained graph, use the genetic evolution algorithm for iterative optimization: randomly generate task scheduling sequences that meet the safety window constraints, each sequence represents a chromosome; set the fitness function to evaluate the pros and cons of each chromosome; perform selection, crossover and mutation operations: in the selection phase, retain high fitness chromosomes; in the crossover phase, perform whole crossover exchange for unit group sequences with the same collaborative identifier; in the mutation phase, randomly offset the execution timing of non-collaborative tasks within the safety window;

[0038] After multiple rounds of selection, crossover and mutation operations, select the Pareto optimal solution from the numerous generated scheduling schemes; the selection criteria are that the resource conflict rate is less than the pre-set resource conflict threshold and the collaboration achievement rate is greater than the pre-set collaboration standard threshold; finally output the preliminary collaborative scheduling scheme; in the preliminary collaborative scheduling scheme, set the safety hydrological conditions; and according to the task requirements, resource conditions and collaborative relationships of each atomic operation unit, develop a construction progress plan.

[0039] Further, the preliminary scheduling scheme is deployed, and the risk entropy is dynamically calculated to monitor the hydrological mutation and construction deviation in real time, and the process of forming the risk entropy early warning report includes:

[0040] The preliminary scheduling scheme is input; real-time hydrological data and construction flow data are continuously obtained through various sensors arranged in advance at hydrological monitoring stations and construction sites; based on the obtained real-time hydrological data and construction flow data, the safety hydrological conditions and the construction progress plan set in the preliminary scheduling scheme are compared and analyzed; when the real-time hydrological data exceeds the safety hydrological condition range, or the actual progress of the atomic operation unit in the construction flow data deviates from the planned progress by more than the allowed range, the specific location of the risk event is determined using the positioning information of the sensor location and the association with the construction area geographic information system, and the location information is the risk event coordinates;

[0041] Based on the real-time data obtained from the spatiotemporal water topology network, the data is compared and analyzed with the hydrological data predicted in advance by the model, the hydrological mutation entropy value between the current actual flow and the predicted flow is calculated; based on the planned progress for each atomic operation unit in the preliminary scheduling scheme, 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 consumption of resources in the construction process is analyzed, including the occurrence of resource consumption abnormal values; by comprehensively considering the progress deviation value and the resource consumption abnormal value, the construction deviation entropy is obtained by using the calculation method of joint information entropy;

[0042] After the calculation of the hydrological mutation entropy and the construction deviation entropy, the fusion entropy early warning mechanism is implemented: the fusion entropy value is obtained by fusion analysis of the hydrological mutation entropy and the construction deviation entropy; at the same time, a dynamic threshold is set according to the 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 as a high-risk event;

[0043] Once it is determined as a high-risk event, the atomic operation unit ID corresponding to the out-of-limit entropy value is quickly located, and the risk entropy early warning report is finally generated: {risk event coordinates, fusion entropy value, associated collaborative identifier}.

[0044] Further, according to the risk entropy early warning report, the scheduling scheme is dynamically reconstructed, and the process of triggering the re-binding of the collaborative factor includes:

[0045] The risk entropy early warning report is received, which includes the risk event coordinates, the fusion entropy value, and the associated collaborative identifier information; the high-risk atomic operation unit with an out-of-limit entropy value in the risk entropy early warning report is re-scheduled; the high-risk atomic operation unit with an out-of-limit entropy value is suspended, and the feasible time slot is recalculated within the remaining interval of its safety window;

[0046] For the atomic operation unit belonging to the cooperative unit group, the identifier of the cooperative unit group is kept unchanged in the rescheduling process; the execution time sequence of the units in the group is adjusted to meet the newly calculated time slot constraint;

[0047] After completing the rescheduling of high-risk tasks, the influence of the hydrological mutation external factor on the cooperative unit group is further analyzed: if the hydrological mutation causes the original cooperative unit group to be infeasible, the binding relationship of all units under the cooperative identifier is released; after the binding relationship is released, new cooperative groups are matched for the affected units according to the current space-time water conservancy topological network state; a cooperative identifier is assigned to the new cooperative group , which is used to uniquely identify the new cooperative group; at the same time, the cooperative constraint task package is updated, specifically including replacing the invalid identifier; and adding a cooperative dependency relationship;

[0048] The updated atomic operation unit package is re-input into step S5 for scheduling optimization; the optimized scheduling scheme enters the monitoring link of step S6 again, which monitors the hydrological mutation and construction deviation in real time and calculates the risk entropy; through continuous monitoring and calculation, the risks that may exist in the new scheme are discovered in time; and finally, the optimized cooperative scheduling scheme is output.

[0049] Compared with the prior art, the beneficial effects of the present application are: by fusing multi-basin hydrological and construction data, forming a network based on space-time coupling relationship, accurately presenting the spatial correlation of water conservancy elements, providing data basis for subsequent scheduling; by traversing the network to locate the intersection conflict area of the construction and hydrological regulation link, determining the hard and soft conflict types and calculating the intensity, constructing the conflict matrix, and resolving potential conflicts in advance; by combining the conflict matrix and risk prediction, selecting high-conflict links and predicting safe construction periods, generating time intervals with priority labels, ensuring operation safety and efficiency; by decomposing the task into atomic operation units, labeling the dependency relationship and assigning a cooperative identifier, clarifying the cross-project linkage demand, and improving the cooperative ability; by optimizing the task sequence through the resource-cooperation double-constraint graph and genetic algorithm, reducing the resource conflict rate, improving the cooperative achievement rate, and outputting a feasible scheme; by calculating the hydrological mutation entropy and construction deviation entropy in real time, triggering the warning after fusion analysis, quickly locating the high-risk units, and providing the basis for rescheduling; suspending high-risk tasks according to the warning, adjusting the time sequence of the cooperative units or releasing and reorganizing, and ensuring that the scheme adapts to the hydrological mutation. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 A flowchart of a construction scheduling method for cross-basin water conservancy project cooperative linkage is provided for the present application. DETAILED DESCRIPTION

[0051] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of the present application.

[0052] With reference to Figure 1 A construction scheduling method for cross-basin water conservancy projects, comprising:

[0053] S1, fusion of multi-basin hydrological monitoring data and construction progress data, construction of a spatio-temporal water conservancy topology network based on spatio-temporal coupling relationship;

[0054] S2, identification of the intersection conflict area of construction link and hydrological regulation link in the spatio-temporal water conservancy topology network, quantitative analysis of conflict intensity and construction-hydrology coupling conflict matrix construction;

[0055] S3, combination of construction-hydrology coupling conflict matrix and hydrological risk prediction, development of a set of spatio-temporal safety window strategies for construction link;

[0056] S4, according to the set of spatio-temporal safety window strategies, the construction task is divided into atomic operation unit and the collaborative factor is allocated, and finally the set of collaborative constraint task package is obtained;

[0057] S5, based on the set of collaborative constraint task package, the preliminary scheduling scheme is generated through resource-collaboration double-constraint graph and genetic evolution algorithm;

[0058] S6, deployment of the preliminary scheduling scheme, and real-time monitoring of hydrological mutation and construction deviation through dynamic calculation of risk entropy, forming a risk entropy early warning report;

[0059] S7, dynamic reconstruction of the scheduling scheme according to the risk entropy early warning report, triggering the rebinding of the collaborative factor.

[0060] It needs to be further explained that in the specific implementation process, the process of fusion of multi-basin hydrological monitoring data and construction progress data, construction of a spatio-temporal water conservancy topology network based on spatio-temporal coupling relationship includes:

[0061] Reading hydrological station flow time series data and construction unit progress report data; mapping the data to GIS geographic coordinate system; wherein the hydrological data is divided according to the basin grid, and the construction progress data is divided into corresponding time segments according to the engineering section, and spatio-temporal index labels are established for them, facilitating subsequent spatio-temporal correlation analysis;

[0062] Define and attribute the key elements in the network: define the reservoir and the regulating gate as the regulating node, record its real-time storage and gate state code, which can intuitively reflect its ability and state of water flow regulation; define the water conveyance channel and the natural river as the transmission edge, record the current flow and the maximum water carrying capacity, which can reflect the transmission characteristics and carrying limit of the water flow; define the construction section (such as cofferdam and tunnel) as the load node, and give the attribute of construction phase code, which can clearly define the specific stage of construction;

[0063] Based on the real-time flow of the transmission edge and the construction intensity of the load node in the construction section, the edge-node coupling weight is calculated; for example, when a high-flow river is being excavated, the coupling weight of the edge-node will be upgraded to reflect the degree of influence under the space-time interaction;

[0064] Integrate all defined nodes and edges to output the space-time water topology network, which contains the node state matrix for recording the key attributes of each node, and the edge capacity tensor for recording the attribute information of each edge, thus fully presenting the coupling relationship between multi-basin hydrology and construction progress in the space-time dimension.

[0065] It should be further pointed out that in the specific implementation process, the process of identifying the intersection conflict area of construction link and hydrological regulation link in the space-time water topology network, quantitatively analyzing the conflict intensity and constructing the construction-hydrology coupling conflict matrix includes:

[0066] Based on the constructed space-time water topology network, traversal operation is performed; in the traversal process, the intersection area of the load node (i.e. construction section) and the transmission edge (i.e. hydrological regulation link) in space is searched; for example, in the construction process of the diversion channel, its construction range will occupy the water surface section of the main river, and this overlapping area in space is the potential conflict point;

[0067] After determining the conflict area, the conflict type is clearly marked: the conflict type is divided into hard conflict and soft conflict, the hard conflict is directly blocked by the construction behavior, for example, the cofferdam is built in the river to carry out foundation construction, which causes the water flow to be unable to pass through the area normally; the soft conflict is that the vibration factor generated by the construction affects the normal operation of the gate or other water conservancy facilities, for example, the blasting operation near the gate may cause the gate to malfunction due to vibration;

[0068] Calculate the conflict intensity factor to accurately measure the severity of the conflict: for hard conflict, the strength calculation formula is:

[0069] ,

[0070] In the formula, is the hard conflict intensity; These are indexes for the construction link and the hydrological regulation link, respectively. This is a coefficient for the construction stage. For example, foundation pit construction = 3, cofferdam construction = 2, and conventional construction = 1; Hydrological sensitivity coefficient, For example, flood season = 2, normal water season = 1, and dry season = 0.5; The stage-hydrological coupling index (with a value range of [1.5, 2.5], determined through regression analysis of historical data); Let e ​​be an exponential function with the natural constant e as its base, representing the exponential function of time. Deviation from reference time The weight of hard conflict intensity gradually decreases; This is the time decay coefficient; This is the current timestamp; The reference time for hard conflict events (such as the moment of cofferdam closure) is used. The construction stage coefficient is determined based on the different stages of construction, as different stages have varying degrees of impact on water flow. The hydrological sensitivity coefficient is related to the construction time; during the flood season, water flow is complex and the water volume is large, making the impact of construction on hydrology more significant, resulting in the highest hydrological sensitivity coefficient. Conversely, during the dry season, water flow is relatively stable and the water volume is small, resulting in the lowest hydrological sensitivity coefficient. For soft conflicts, the intensity calculation formula is:

[0071] ,

[0072] In the formula, This refers to the intensity of a soft conflict. For equipment sensitivity, For example, precision gate valves = 5, and ordinary valves = 1; For construction vibration levels, It is obtained based on the measured vibration power spectral density value; The standard deviation of vibration intensity; The number of vibration sampling points is used; among them, 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 classified according to the magnitude of the vibration generated during construction, with the greater the vibration, the higher the level;

[0073] After calculating the conflict intensity factor, an N-row × M-column construction-hydrological coupling conflict matrix 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... Used to store the first Construction link and the first The intensity level of conflict between the hydrological control links The grade is mapped to the interval [0, 1] through normalization processing to facilitate subsequent analysis and comparison; for construction-hydrological link pairs that do not exist in space, directly assign , indicating that there is no conflict between them; finally, output the constructed construction-hydrological coupling conflict matrix:

[0074] ,

[0075] This matrix will provide important data support for subsequent development of reasonable construction scheduling and response strategies.

[0076] It needs to be further explained that in the specific implementation process, combined with the construction-hydrological coupling conflict matrix and hydrological risk prediction, the process of developing the spatiotemporal safety window strategy set of the construction link includes:

[0077] Filtering high-conflict-intensity links from the construction-hydrological coupling conflict matrix: setting a high-conflict threshold, when the matrix element is greater than the high-conflict threshold, it is determined that the corresponding construction link and hydrological regulation link exist high-intensity conflict, and these links are extracted as the focus of attention;

[0078] Call the pre-set hydrological risk model; wherein, this model integrates the key factors of flood probability and drought index, and can scientifically evaluate the hydrological risk in different periods; based on this model, combined with the geographical location and construction characteristics of the high-conflict-intensity link, predict the safe time period available for construction, wherein these safe time periods are safety windows; for example, by analyzing the moving path and arrival time of the flood peak, avoiding the time window with complex water flow and high risk before the flood peak arrives, determine the relatively safe and suitable construction time period; according to the earliest start time and latest completion constraint of the construction link, and combined with the predicted safe time period, generate the time interval allowed for construction of each construction link; wherein, the earliest start time and the latest completion constraint limit the feasible time range of construction, and the specific time interval allowed for construction of each construction link is represented by [start time, end time];

[0079] According to the conflict intensity and the basin importance, priority labels are given to the construction links: the conflict intensity is a high conflict intensity link screened from the conflict matrix; the basin importance is that in the water conservancy system, the main stream basin plays a key role in flood control, irrigation, water supply and other aspects of the entire region, and its importance is higher than that of the tributaries; the construction links are divided into three priority levels: D1 (emergency), the conflict intensity of this link is high and located in the main stream basin, which has the greatest impact on the overall progress and safety of the project; D2 (important), the conflict intensity is relatively high or located in an important tributary, which has a certain impact on the project; D3 (general), the conflict intensity is relatively low and located in an ordinary tributary, which has the least impact on the project; a complete strategy triple is output for each construction link: {construction link ID, safety window [start and end time], priority label}; all the strategy triples of the construction links are collected to form a time and space safety window strategy set, which will provide clear and specific guidance for subsequent construction scheduling, ensuring that construction activities can be carried out smoothly within a safe time and space range, while minimizing the conflict risk between construction and hydrological regulation.

[0080] It should be further pointed out that in the specific implementation process, according to the time and space safety window strategy set, the construction task is divided into atomic operation units and assigned a coordination factor, and finally a set of coordination constraint task packages is obtained, which includes:

[0081] Obtain the time and space safety window strategy set, which records the ID, safety window [start and end time] and priority label information of each construction link in detail;

[0082] For the task corresponding to each construction link in the strategy set, it is divided into indivisible atomic operation units; for example, for the construction task of the diversion tunnel, it can be further divided into geological exploration unit, drilling unit, blasting excavation unit, lining pouring unit and other atomic operation units; this decomposition method can refine complex construction tasks to specific operation steps, which is convenient for subsequent resource allocation, progress management and coordination control;

[0083] After completing the decomposition of the atomic operation units, each unit is labeled with a dependency relationship: the dependency relationship includes strict dependency and flexible dependency, where strict dependency means that there is a clear sequence between some operation units, the previous unit must be completed before the next unit, for example, after the blasting excavation unit is completed, the slag removal unit must be executed before the subsequent lining pouring work, otherwise it will affect the construction quality and safety; flexible dependency means that some operation units have certain 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 at the same time under the condition of resource allowance, in order to improve the construction efficiency;

[0084] After the completion of the atomic operation unit split and dependency annotation, enter the collaborative factor injection phase: through comprehensive analysis of all atomic operation units, identify the atomic operation unit groups that exist across engineering linkage; for example, reservoir 1 floodgate maintenance unit and downstream river channel 2 diversion construction unit, although these two units belong to different engineering parts, but there is a close space-time correlation between them, the maintenance time of the floodgate and the time of the 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, assign them a unique collaborative identifier , so as to facilitate unified management and tracking; at the same time, according to the space-time correlation degree and requirements between collaborative unit groups, define the collaborative type: the collaborative type is divided into strong collaboration and weak collaboration, among which the strong collaboration requires strict space-time synchronization, for example, the gate opening and the downstream personnel evacuation must be completed at the same time, and any time deviation of one link may lead to serious safety accidents; weak collaboration allows time offset and ensures operation sequence, for example, the downstream reinforcement work needs to be started within 48 hours after the upstream cofferdam is removed, and the downstream reinforcement can be completed within this time range, but it must be ensured that the upstream cofferdam is removed first;

[0085] Encapsulate each atomic operation unit as a collaborative constraint task package set; each task package contains an atomic operation unit ID, which is used to uniquely identify the operation unit; a list of required resources, which details the various 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 it belongs to; a safety window constraint, which determines the time range in which the unit is allowed to be constructed according to the space-time safety window strategy 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.

[0086] It needs to be further explained that, in the specific implementation process, based on the collaborative constraint task package set, the process of generating a preliminary scheduling scheme through resource-collaborative double-constraint graph and genetic evolution algorithm includes:

[0087] Input the collaborative constraint task package set and obtain the pre-prepared resource pool data, which includes key information such as the number of devices and the quota of manpower;

[0088] Building resource-collaboration double-constraint graph: all atomic operation units in the collaboration constraint task package set are taken as vertices in the graph, which represent specific operation steps in the construction process; the edges are established for resource competition, if two atomic operation units compete for the same equipment or manpower, a resource competition edge is established; for example, multiple construction links need to use the crane, resulting in crane occupation conflict, so a resource competition edge is established between the vertices corresponding to the two units; the establishment of such edges can clearly reflect the conflict of resources in the use process, providing an important basis for subsequent scheduling optimization;

[0089] For the unit group with collaboration identifier, based on the existence of collaboration relationship between them, add collaboration dependent edge; wherein, the collaboration dependent edge is attached with positive weight, and the weight of strong collaboration is greater than that of weak collaboration; it can be understood that because strong collaboration requires strict synchronization in time and space, the accuracy requirement of scheduling is higher, so a greater weight is given in the graph to reflect its priority association in the scheduling process; by establishing resource-collaboration double-constraint graph, not only the resource competition relationship is reflected, but also the collaboration dependent relationship between operation units is embodied, providing comprehensive constraint information for the generation of scheduling scheme;

[0090] After completing the construction of resource-collaboration double-constraint graph, genetic evolution algorithm is used for iterative optimization: randomly generate task scheduling sequences that meet the safety window constraint, each sequence represents a chromosome; it can be understood that the initial population generation strictly follows the safety window constraint of each atomic operation unit in the collaboration constraint task package set, ensuring that the generated scheduling sequence is feasible in time; set the fitness function to evaluate the pros and cons of each chromosome:

[0091] ,

[0092] In the formula, represents the function for evaluating the fitness of the chromosome (i.e. scheduling scheme), and its return value is a numerical value for measuring the pros and cons of the chromosome (scheduling scheme); is the resource competition edge optimization target, used to minimize the weighted impact of resource conflict; is the resource competition edge set (sharing crane / excavator); is any edge in the resource competition edge set and the collaboration dependent edge set; is the resource competition weight (based on historical conflict frequency); is the resource allocation distance (equipment movement time-consuming); is the equipment movement efficiency parameter; through the exponential decay function punishes long-distance resource allocation and encourages local resource reuse; is the collaboration dependent edge optimization target, used to maximize the nonlinear growth of collaboration benefit; ​To coordinate the dependent edge set (cofferdam-floodgate linkage); To coordinate the delay time; To coordinate the fault-tolerant window; by Logarithmic amplification is performed on the coordination delay, and the punishment for serious coordination violations is strengthened; specifically, the fractional structure represents the balance between resource conflict minimization and coordination benefit maximization, the smaller the numerator (the fewer the 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 stage, high fitness chromosomes are retained, which represent scheduling schemes that perform better in resource utilization and coordination; in the crossover stage, the unit group sequence of the same coordination identifier is exchanged as a whole, and it can be understood that the unit groups of the same coordination identifier have a close coordination relationship, and the whole crossover exchange can better maintain the integrity of the coordination relationship and avoid coordination failure caused by partial crossover; in the mutation stage, the execution time of non-coordination tasks is randomly offset within the safety window, and since the non-coordination tasks have relatively flexible time sequence requirements, random offset within the safety window can increase the diversity of the population and help find better scheduling schemes;

[0093] After multiple rounds of selection, crossover and mutation operations, the Pareto optimal solution is selected from the generated many scheduling schemes; the selection criteria are that the resource conflict rate is less than the preset resource conflict threshold (for example, 5%) and the coordination achievement rate is greater than the preset coordination threshold (for example, 90%), wherein the resource conflict rate reflects the rationality of resource use in the scheduling scheme, and the coordination achievement rate reflects the satisfaction of the coordination relationship between the coordination unit groups; finally, the preliminary coordination scheduling scheme is output, which includes the task timing Gantt chart, through which the start time, end time and duration of each atomic operation unit can be directly displayed; At the same time, the synchronization execution interval of the coordination task group is marked in the Gantt chart, so that construction personnel and management personnel can clearly understand which tasks need to be performed at the same time, so as to better organize and coordinate construction work; In the preliminary coordination scheduling scheme, the safety hydrological condition is set, which comprehensively considers the tolerance range of hydrological factors in different construction stages, such as flood flow threshold, water level change amplitude, etc., to ensure that the construction process is carried out in a hydrologically safe environment; and according to the task requirements, resource conditions and coordination relationship of each atomic operation unit, a construction progress plan is made to clearly define the start time and end time of each atomic operation unit, providing a benchmark for subsequent construction monitoring and risk warning.

[0094] It needs to be further explained that in the specific implementation process, the preliminary scheduling scheme is deployed, and the risk entropy is calculated dynamically to monitor the hydrological mutation and construction deviation in real time, and the process of forming the risk entropy warning report includes:

[0095] The input preliminary scheduling scheme; through various sensors pre-arranged at hydrological monitoring sites and construction sites, real-time hydrological data (such as flow) and construction flow data (including the actual progress of each atomic operation unit, resource consumption) are continuously obtained; based on the obtained real-time hydrological data and construction flow data, the safety hydrological conditions and construction progress plan set in the preliminary scheduling scheme are compared and analyzed; when the real-time hydrological data exceeds the safety hydrological condition range, for example, the actual flow exceeds the warning flow threshold, or the actual progress of the atomic operation unit in the construction flow data deviates from the planned progress by more than the allowed range, the specific location of the risk event is determined using the positioning information of the sensor location and the association with the construction area geographic information system, and the location information is the risk event coordinates; for example, if a monitoring site sensor detects abnormal increase of flow, through the positioning of the site in the construction area map, combined with the distribution of surrounding construction tasks, the specific construction area coordinates affected are determined, which are taken as the risk event coordinates;

[0096] Combined with the real-time data obtained from the spatiotemporal water topology network, it is compared and analyzed with the hydrological data predicted by the model in advance, and the hydrological mutation entropy value between the current actual flow and the predicted flow is calculated:

[0097] ,

[0098] In the formula, is the hydrological mutation entropy value, which is used to quantify the uncertainty of the hydrological event; is the index of the hydrological event category, is the number of hydrological event categories; is the probability of the first hydrological event; is the event sensitivity weight; is the hydrological variable change rate; is the hydrological variable; the higher the hydrological mutation entropy value, the greater the prediction failure risk; for example, if the prediction shows that the flow is relatively stable in a certain period, but the real-time monitoring shows that the flow suddenly increases greatly, then the calculated hydrological mutation entropy value will be higher, prompting attention to the impact of possible floods, mudslides and other disasters on construction; based on the planned progress for each atomic operation unit in the preliminary scheduling scheme, the actual progress of each atomic operation unit actually obtained is compared with the planned progress to obtain the progress deviation value; at the same time, the resource consumption in the construction process is analyzed, including the occurrence of resource consumption outliers (such as human and material resources consumption far exceeding or far below the plan); by comprehensively considering the progress deviation value and the resource consumption outlier, the construction deviation entropy is obtained by using the calculation method of joint information entropy:

[0099] ,

[0100] In the formula, is the construction deviation entropy value, 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; is the first type of construction deviation (such as axis offset); is the construction precision standard deviation; is the nonlinear amplification coefficient (value range [1.2, 1.8]); wherein, the construction deviation entropy reflects the deviation of the construction process from the planned scheme, the larger the construction deviation entropy value, the more serious the construction deviation, and there may be problems such as poor management, unexpected situations, etc., which have adverse effects on construction progress and quality;

[0101] After calculating the hydrological mutation entropy and the construction deviation entropy, the fusion entropy early warning mechanism is implemented: the fusion entropy value is obtained by fusion analysis of the hydrological mutation entropy and the construction deviation entropy:

[0102] ,

[0103] In the formula, is the fusion entropy value, which integrates the hydrological mutation entropy and the construction deviation entropy, and measures 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); is used for normalization to prevent a single entropy value from dominating the result; at the same time, according to the actual situation of historical data and the current construction environment, a dynamic threshold is set; if the fusion entropy value is greater than the dynamic threshold, it is determined as a high-risk event, which indicates that the combined effect of hydrological mutation and construction deviation may have a serious impact on construction, and immediate measures need to be taken to respond;

[0104] Once it is determined as a high-risk event, the super-limit entropy value corresponding to the atomic operation unit ID is quickly located, and the risk entropy early warning report is finally generated: {risk event coordinates, fusion entropy value, associated collaborative identifier}; wherein, these atomic operation units may be the key links that cause the risk event and need to be focused on and handled; the risk entropy early warning report content includes the specific coordinates of the risk event (to accurately determine the risk position), the fusion 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.

[0105] It needs to be further explained that in the specific implementation process, the process of dynamically reconstructing the scheduling scheme according to the risk entropy early warning report and triggering the rebinding of the coordination factor includes:

[0106] Receiving the risk entropy early warning report, including risk event coordinates, fusion entropy values, and associated coordination identifier information; re-scheduling processing is performed on high-risk atomic operation units with entropy values exceeding the limit in the risk entropy early warning report; it can be understood that since these units have a high risk of hidden dangers, continuing to execute them may have a serious impact on construction safety, progress, or quality, so their execution needs to be immediately suspended; suspend the high-risk atomic operation units with entropy values exceeding the limit, and recalculate the feasible time slot within the remaining interval of their safety window; where the step S3 space-time safety window strategy is followed, which can ensure that the recalculated time slot meets the safety requirements and makes full use of existing resources;

[0107] For atomic operation units belonging to a coordination unit group, the identifier of the coordination unit group should be kept unchanged during the re-scheduling process; it can be understood that because there is a coordination relationship between the coordination unit groups, this relationship is crucial to the overall efficiency and effectiveness of the construction; by adjusting the execution sequence of the units within the group, it can be ensured that they meet the constraints of the newly calculated time slot, for example, if a coordination unit group contains three atomic operation units x, y, and z, and the original plan is to execute x first, and then y and z in a certain order, but because the unit where x is located needs to be re-scheduled due to high risk, after recalculating the time slot, it may be adjusted to execute y first, and then x and z in turn at the appropriate time, while ensuring that the coordination relationship between them is not affected;

[0108] After completing the re-scheduling of high-risk tasks, further analyze the impact of hydrological mutation external factors on the coordination unit group: if the hydrological mutation makes the original coordination unit group infeasible, then release the binding relationship of all units under the coordination identifier; for example, if the upstream reservoir cannot discharge, and some units in the original coordination unit group are based on the condition of normal reservoir discharge for coordinated construction, then the binding relationship of all units under the coordination identifier needs to be released; because the original coordination condition has changed, continuing to maintain the binding relationship may cause chaos in construction or fail to achieve the expected results; after releasing the binding relationship, match new coordination groups for the affected units according to the current space-time water topology network state; for example, bind the diversion construction unit with the reservoir gate maintenance unit, because the reservoir gate maintenance may affect the direction and flow of water, and the diversion construction unit needs to be adjusted according to the water flow, the two units can achieve better coordinated construction by being bound together; assign a coordination identifier to the new coordination group , which is used to uniquely identify the new coordination group, facilitating subsequent management and scheduling; at the same time, update the coordination constraint task package, which specifically includes replacing the invalid identifier, replacing the identifier of the original coordination unit group with the new coordination identifier The newly added cooperative dependency relationship is used to explicitly indicate the dependency relationship between the units in the newly added cooperative group, such as the sequence, synchronization requirement, and the like.

[0109] The updated atomic operation unit package is input into step S5 for scheduling optimization. It can be understood that, by using the resource-cooperation double-constraint graph and the genetic evolution algorithm in step S5, the resource competition and cooperative dependency and other factors can be comprehensively analyzed to comprehensively optimize the updated atomic operation unit package, and a more reasonable scheduling scheme is generated. The optimized scheduling scheme enters the monitoring link of step S6 again, and the hydrological mutation and construction deviation are monitored in real time, and the risk entropy is calculated. Through continuous monitoring and calculation, the risks that may exist in the new scheme are found in time. If the risk entropy meets the standard, it means that the current scheduling scheme can effectively cope 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 the step is continued to be repeated until the risk entropy meets the standard requirement. Finally, the optimized cooperative scheduling scheme is output. The scheme has been adjusted and optimized for many times, has high scientificity and feasibility, and can provide reliable guidance for construction.

[0110] It should be understood that determining B according to A does not mean that B is determined only according to A, but B can also be determined according to A and / or other information.

[0111] The above merely describes the specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0112] Finally, the above only describes the preferred embodiments of the present application, and is not used to limit the present application. Any modification, equivalent replacement, improvement, and the like made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A construction scheduling method for cross-basin water conservancy project collaborative linkage, characterized in that: S1, fuse multi-basin hydrological monitoring data and construction progress data, and construct a spatio-temporal water conservancy topology network based on the spatio-temporal coupling relationship; S2, identify the intersection conflict area of construction link and hydrological regulation link in the spatio-temporal water conservancy topology network, quantitatively analyze the conflict intensity and construct a construction-hydrology coupling conflict matrix; S3, combined with the construction-hydrology coupling conflict matrix and hydrological risk prediction, develop a set of spatio-temporal safety window strategies for construction links; S4, according to the set of spatio-temporal safety window strategies, decompose the construction task into atomic operation units and assign collaborative factors, and finally obtain a set of collaborative constraint task packages; S5, based on the set of collaborative constraint task packages, generate a preliminary scheduling scheme through resource-collaboration double-constrained graph and genetic evolution algorithm; wherein the process of generating a preliminary scheduling scheme based on the set of collaborative constraint task packages through resource-collaboration double-constrained graph and genetic evolution algorithm includes: input the set of collaborative constraint task packages and obtain the pre-prepared resource pool data, which includes key information such as the number of devices and manpower quota; construct a resource-collaboration double-constrained graph: all atomic operation units in the set of collaborative constraint task packages are taken as vertices in the graph; for resource competition, if two atomic operation units compete for the same device or manpower, a resource competition edge is established; for unit groups with collaborative identifiers, based on the existence of collaborative relationship between them, add collaborative dependency edges; wherein, the collaborative dependency edges are accompanied by positive weights, and the weights of strong collaboration are greater than those of weak collaboration; after the construction of the resource-collaboration double-constrained graph, use genetic evolution algorithm for iterative optimization: randomly generate task scheduling sequences that meet the safety window constraints, each sequence represents a chromosome; set the fitness function to evaluate the pros and cons of each chromosome; perform selection, crossover and mutation operations: in the selection stage, retain high fitness chromosomes; in the crossover stage, the sequences of unit groups with the same collaborative identifier are exchanged as a whole; in the mutation stage, randomly shift the execution time sequence of non-collaborative tasks within the safety window; after multiple rounds of selection, crossover and mutation operations, select the Pareto optimal solution from the generated numerous scheduling schemes; the selection criteria are that the resource conflict rate is less than the preset resource conflict threshold and the collaborative achievement rate is greater than the preset collaborative standard threshold; finally output the preliminary collaborative scheduling scheme; in the preliminary collaborative scheduling scheme, set the safety hydrological conditions; and according to the task requirements, resource situation and collaborative relationship of each atomic operation unit, develop a construction progress plan; S6, deploy the preliminary scheduling scheme and monitor hydrological mutations and construction deviations in real time through dynamic calculation of risk entropy to form a risk entropy early warning report; S7, dynamically reconstruct the scheduling scheme according to the risk entropy early warning report and trigger the rebinding of collaborative factors.

2. The construction scheduling method of claim 1, wherein: The process of fusing multi-basin hydrological monitoring data and construction progress data and constructing a spatio-temporal water conservancy topology network based on the spatio-temporal coupling relationship includes: Reading the hydrological station flow time series data and construction unit progress report data; mapping the data to the GIS geographic coordinate system; among them, the hydrological data is divided according to the watershed grid, and the construction progress data is divided into corresponding time segments according to the engineering bid section, and a space-time index label is established for them; Define and set attributes for key elements in the network: define reservoirs and check gates as control nodes, record their real-time storage capacity and gate state code; define water conveyance channels and natural river channels as transmission edges, record the current flow and maximum water carrying capacity; define construction sections as load nodes, and assign construction phase coding attributes; Based on the real-time flow of the transmission edge and the construction intensity of the load node in the construction section, calculate the edge-node coupling weight; Integrate all defined nodes and edges to output the space-time water topology network.

3. The construction scheduling method of claim 1, wherein: The process of identifying the intersection conflict area of construction link and hydrological control link in the space-time water topology network, quantitatively analyzing the conflict intensity and constructing the construction-hydrology coupling conflict matrix includes: Based on the constructed space-time water topology network, perform traversal operation; in the traversal process, search the intersection area of load nodes and transmission edges in space; After determining the conflict area, mark the conflict type: the conflict type is divided into hard conflict and soft conflict, the hard conflict is directly blocked by the construction behavior; the soft conflict is the vibration factor generated by the construction affecting the normal operation of the gate or other water conservancy facilities; Computing a conflict strength factor to accurately measure the severity of a conflict, including hard conflict strength and soft conflict strength ; After calculating the conflict intensity factor, an N-row × M-column construction-hydrological coupling conflict matrix 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... Used to store the Construction link and the first The intensity level of conflict between the hydrological control links This level is mapped to the [0,1] interval through normalization; for construction-hydrological link pairs that do not intersect spatially, values ​​are directly assigned. This indicates that there is no conflict between them; the final output is the constructed construction-hydrology coupling conflict matrix.

4. The construction scheduling method of claim 1, wherein: Based on the construction-hydrology coupling conflict matrix and the hydrological risk prediction, the process of developing the space-time safety window strategy set of the construction link includes: Filtering out high conflict intensity links from the construction-hydrology coupling conflict matrix: setting a high conflict threshold, when the matrix element is greater than the high conflict threshold, it is determined that the corresponding construction link and hydrology regulation link exist high intensity conflict, and these links are extracted as the focus object; high conflict threshold, it is determined that the corresponding construction link and hydrology regulation link exist high intensity conflict, and these links are extracted as the focus object; Call the pre-set hydrological risk model; based on the model, combine the geographical location and construction characteristics of the high conflict intensity link to predict the safe time period available for construction, where these safe time periods are safety windows; generate the time interval allowed for construction for each construction link based on the earliest start time and latest completion constraints of the construction link and combined with the predicted safe time period; According to the conflict intensity and the importance of the basin, give priority labels to the construction link: divide the construction link into three priority levels: D1 for emergency level, D2 for important level, and D3 for general level; output a complete strategy triple for each construction link: {construction link ID, safety window [start and end time], priority label}; aggregate all strategy triples of construction links to form the space-time safety window strategy set.

5. The construction scheduling method of claim 1, wherein: According to the space-time safety window strategy set, the construction task is divided into atomic operation units and assigned to collaborative factors, and finally the collaborative constraint task package set is obtained, which includes: Get the space-time safety window strategy set, which records the ID, safety window [start and end time] and priority label information of each construction link in detail; Split each task corresponding to the construction link in the strategy set into an atomic operation unit that cannot be divided; After completing the splitting of the atomic operation unit, label the dependency relationship for each unit: the dependency relationship includes strict dependency and flexible dependency; After the atomic operation unit splitting and dependency marking, the collaborative factor injection phase is entered: through comprehensive analysis of all atomic operation units, atomic operation unit groups that exist cross-project linkage are identified; for these identified collaborative unit groups, a unique collaborative identifier is assigned ; at the same time, according to the spatio-temporal correlation degree and requirements between the collaborative unit groups, the collaborative type is defined: the collaborative type is divided into strong collaboration and weak collaboration, wherein the strong collaboration requires strict spatio-temporal synchronization; the weak collaboration allows time offset to exist and guarantees operation order; Encapsulate each atomic operation unit as a collaborative constraint task package set.

6. The construction scheduling method of claim 1, wherein: The process of deploying the preliminary scheduling scheme and monitoring hydrological mutation and construction deviation in real time by dynamically calculating risk entropy includes: Input the preliminary scheduling scheme; continuously obtain real-time hydrological data and construction flow data through various sensors arranged in advance at hydrological monitoring stations and construction sites; compare and analyze the obtained real-time hydrological data and construction flow data with the safety hydrological conditions and construction schedule set in the preliminary scheduling scheme; when the real-time hydrological data exceeds the safety hydrological condition range or the actual progress of an atomic operation unit in the construction flow data deviates from the planned progress by more than the allowed range, determine the specific location of the risk event using the positioning information of the sensor location and its association with the construction area geographic information system. The location information is the risk event coordinates; Compare and analyze the real-time data obtained from the spatiotemporal water topology network with the hydrological data predicted in advance by the model, calculate the hydrological mutation entropy value between the current actual flow and the predicted flow, and compare the actual progress of each atomic operation unit with the planned progress to obtain the progress deviation value. At the same time, analyze the resource consumption in the construction process, including abnormal values of resource consumption. By integrating the progress deviation value and the resource consumption abnormal value and using the joint information entropy calculation method, the construction deviation entropy is obtained. After calculating the hydrological mutation entropy and the construction deviation entropy, implement the fusion entropy early warning mechanism: fuse and analyze the hydrological mutation entropy and the construction deviation entropy to obtain the fusion entropy value; at the same time, set a dynamic threshold value based on historical data and the actual situation of the current construction environment; if the fusion entropy value is greater than the dynamic threshold value, it is determined as a high-risk event; Once it is determined as a high-risk event, quickly locate the atomic operation unit ID corresponding to the out-of-limit entropy value, and finally generate a risk entropy early warning report: {risk event coordinates, fusion entropy value, associated collaborative identifier}.

7. The construction scheduling method of claim 1, wherein: According to the risk entropy early warning report, dynamically reconstruct the scheduling scheme and trigger the collaborative factor rebinding process, which includes: Receive the risk entropy early warning report, which contains the risk event coordinates, fusion entropy value, and associated collaborative identifier information; re-schedule the high-risk atomic operation unit with an out-of-limit entropy value in the risk entropy early warning report; pause the high-risk atomic operation unit with an out-of-limit entropy value and recalculate the feasible time slot within its remaining safety window; For atomic operation units belonging to a collaborative unit group, keep the identifier of the collaborative unit group unchanged during the rescheduling process; adjust the execution sequence of the units within the group to meet the newly calculated time slot constraints; After the high-risk task rescheduling is completed, further analysis of the influence of the hydrological mutation external factor on the collaborative unit group is performed: if the hydrological mutation causes the original collaborative unit group to be infeasible, the binding relationship of all units under the collaborative identifier is released; after the binding relationship is released, a new collaborative group is matched for the affected units according to the current space-time water conservancy topological network state; the collaborative identifier is allocated for the new collaborative group , which is used to uniquely identify the new collaborative group; meanwhile, the collaborative constraint task package is updated, specifically including replacing the invalid identifier; adding a new collaborative dependency relationship; Input the updated atomic operation unit package into step S5 for scheduling optimization; the optimized scheduling scheme enters the monitoring link of step S6 again to monitor hydrological mutation and construction deviation in real time and calculate risk entropy; through continuous monitoring and calculation, new risks in the new scheme can be discovered in a timely manner; finally, output the optimized collaborative scheduling scheme.

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