Intelligent water conservancy design simulation system and method

Abstract

The present invention relates to the field of simulation modeling technology, specifically to an intelligent water conservancy design simulation system and method, the system comprising: a basin feature dynamic zoning module, a zoning adaptive modeling module, a multi-region coupling dynamic interaction module, a dynamic adjustment mechanism module, and a model verification and optimization module. In the present invention, by combining the water flow rate, flow volume and boundary condition adjustment, a dynamic water flow relationship model is constructed to improve the accuracy of fluid behavior modeling and the flexibility of flow simulation, and the dynamic coupling of the flow rate and pressure gradient interaction between regions is utilized to optimize the transfer of boundary parameters, enhance cross-regional data consistency and model continuity, dynamically adjust the permeability coefficient and water flow rate changes, correct boundary conditions, and enhance the model's ability to respond to real-time changes. Based on the error correction factor, the dynamic error of the zoning is reduced, and the precise control of water conservancy design parameters and the overall simulation reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of simulation modeling, and in particular to an intelligent water conservancy design simulation system and method. Background Art

[0002] The field of simulation modeling technology includes the use of computer technology to digitally model and simulate physical systems, engineering structures or natural phenomena, and to virtually simulate and predict the behavior or process of actual systems through mathematical models and algorithms. The core content of this technical field is to transform the complex phenomena of the physical world into digital expressions by establishing accurate mathematical models, so as to understand, optimize and predict the behavior of the system. Simulation modeling is widely used in engineering design, manufacturing optimization, scientific research, education and training, etc. Its systematic nature includes parameter acquisition in the modeling process, establishment of mathematical equations, implementation of numerical simulation, and analysis and verification of simulation results.

[0003] Among them, the intelligent water conservancy design simulation system refers to a technical system applied to the field of water conservancy projects. By constructing a digital water conservancy model and combining simulation computing technology, various physical parameters, fluid mechanics behaviors and structural responses in the water conservancy project design process are modeled and simulated. The subject of this patent covers technical matters such as fluid dynamics modeling, structural mechanics analysis and watershed ecological simulation in water conservancy projects. Specifically, the flow behavior of water bodies is modeled based on fluid mechanics equations, the flow characteristics are simulated through numerical calculations, and the stress state of water conservancy facilities is modeled and calculated using structural mechanics analysis methods. At the same time, the ecological response of the watershed is analyzed in combination with the ecological simulation method, and the assistance and verification of the water conservancy project design process are completed through the above-mentioned modeling and simulation links.

[0004] The existing basin zoning methods fail to fully refine the dynamic changes of terrain and hydrological parameters, and the zoning model lacks adaptability. The calculation of water flow rate and flow volume under static boundary conditions is difficult to reflect the dynamic water flow behavior, resulting in deviations in simulation results. The simplified processing of regional boundary parameters fails to capture subtle changes in flow and pressure gradients, which can easily cause errors in the transmission of interactive parameters. The adjustment mechanism for permeability coefficient and water flow rate is insufficient, making it difficult to adapt to complex dynamic conditions. The static error correction method fails to effectively identify and process dynamic deviations, affecting the overall model accuracy and the ability to predict complex scenarios of water conservancy projects. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent water conservancy design simulation system and method.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: the intelligent water conservancy design simulation system comprises: The dynamic partitioning module of watershed characteristics is based on the slope of the watershed terrain unit, the surface roughness and the rainfall intensity in the hydrological parameter set, normalizes the slope value, roughness value and rainfall distribution value, defines the fitting degree of the watershed unit characteristics, calibrates the partition number, calculates the water balance difference and rainfall change in the partition, and generates the dynamic partition change amplitude value; The partition adaptive modeling module calculates the water flow rate and flow amount in the partition based on the dynamic partition change amplitude value, obtains the partition boundary head height, adjusts the flow relationship model in combination with the boundary flow velocity, establishes the partition water flow relationship, and generates the partition water flow characteristic relationship value; The multi-region coupling dynamic interaction module calls the flow and water pressure gradient of the adjacent regions based on the partition water flow characteristic relationship value, calculates the boundary parameter transfer rate, corrects the boundary pressure and flow velocity dynamic change value, constructs the interaction parameter relationship between the partitions, and generates the regional interaction parameter matrix; The dynamic adjustment mechanism module monitors the dynamic change amplitude of the permeability coefficient and the water flow rate in the partition boundary constraint based on the regional interaction parameter matrix, obtains the adjustment factor, recalculates the partition permeability change and the water flow rate change value, corrects the partition boundary condition, and generates the partition boundary adjustment factor value; The model verification and optimization module calculates the dynamic change error value of the partition flow velocity and permeability coefficient based on the partition boundary adjustment factor value, uses the error correction factor and the regional interaction parameter matrix, calibrates the deviation area number, corrects the deviation area parameter transfer relationship, and generates the partition error correction value.

[0007] As a further solution of the present invention, the step of obtaining the dynamic partition change amplitude value is specifically as follows: By combining the slope distribution data and surface roughness distribution data of the basin terrain unit with the distribution information of rainfall intensity in the hydrological parameter set, the normalized slope value, roughness value and rainfall distribution value of each basin unit are calculated, the slope distribution range is analyzed, and a normalized feature set is generated; According to the normalized slope value, normalized roughness value and normalized rainfall distribution value in the normalized feature set, a basin unit characteristic fitting function is constructed using the formula: ; Calculate the characteristic fitting degree of each watershed unit and obtain the distribution value of the characteristic fitting degree of the watershed unit; in, represents the feature fit, Representative The normalized slope value of each unit, Representative The normalized roughness value of the element, Representative The normalized rainfall distribution value of each unit, represents the total number of watershed units; According to the distribution value of the characteristic fitting degree of the watershed unit, the partition number is calibrated, each watershed unit is sorted according to the characteristic fitting degree and divided into corresponding partitions, the fitting degree variation range within the partition is calculated, the watershed units with fitting degrees lower than the threshold are eliminated, and the calibrated watershed partition characteristic number is generated; The water balance difference and rainfall change in the partition are calculated through the calibrated basin partition characteristic number, the data in the partition is filtered according to the difference calculation formula, the relationship between the change and the balance difference is determined, and the dynamic partition change amplitude value is obtained.

[0008] As a further solution of the present invention, the step of obtaining the partition water flow characteristic relationship value is specifically as follows: Based on the dynamic partition change amplitude value, the water flow rate and flow volume data of multiple areas in the partition are extracted, the weighted average of the flow velocity in the time period within the partition is accumulated, the water flow rate change amplitude is calculated based on the flow fluctuation range, the partitions are classified according to the flow velocity change interval, and the partition water flow rate and flow volume relationship value is generated; According to the relationship between the water flow rate and the flow volume of the partition, the weight factor is corrected by combining the terrain height difference and the flow velocity value of the partition boundary, and the head height parameter is adjusted according to the boundary characteristic weight. The formula is: ; Calculate the water head height value of the partition boundary; in, Represents the water head height value of the partition boundary, Representative Flow velocity at the partition boundary, Representative The terrain height difference at the partition boundary, Represents the velocity weight adjustment coefficient of the partition boundary, Represents the weight coefficient for correction of terrain height difference at the partition boundary, Representative Boundary characteristic adjustment factor, Represents the total number of partition boundaries; According to the water head height value of the partition boundary, the flow characteristics of the water flow in the partition are adjusted in combination with the boundary flow velocity, and the water flow relationship model of the partition is established according to the flow change range by dynamically adjusting the parameter ratio between the boundary flow velocity and the water head height; Based on the partitioned water flow relationship model, the characteristics and transfer parameters of the water flow in the partition are extracted. Combined with the flow velocity in the partition and the boundary flow velocity distribution characteristics, the water flow dynamic characteristic data is screened according to the flow velocity change rate and the water volume change ratio. The dynamic characteristic relationship in the partition is cumulatively calculated to obtain the partitioned water flow characteristic relationship value.

[0009] As a further solution of the present invention, the step of obtaining the regional interaction parameter matrix is ​​specifically as follows: Based on the partitioned water flow characteristic relationship value, the flow data and water pressure gradient information of the adjacent area are called, and the flow exchange rate and water pressure difference between each area are calculated by extracting the interval variation range of the flow and water pressure distribution data, so as to generate a preliminary boundary parameter transfer rate; By using the preliminary boundary parameter transfer rate, combined with the real-time flow velocity data and pressure monitoring information of the adjacent area, the flow velocity fluctuation range and the change characteristics of the pressure gradient are corrected point by point, the corrected flow velocity change ratio and the pressure dynamic change range are calculated, and the corrected boundary pressure and flow velocity dynamic change value are generated; The modified interface pressure and velocity dynamic change values ​​are used to calculate the interaction parameters between the partitions, and the interaction characteristics are quantified by combining the flow difference and pressure difference of multiple regions to construct the regional interaction parameter relationship using the formula: ; Calculate regional interaction parameter relationships; in, Representative and Interaction parameters between regions, Representative area and Interval The flow rate difference of the point Representative area and Interval The pressure difference at point For the inter-regional The flow resistance coefficient of the point, For the inter-regional The flow distance of a point, is the standard reference distance, For the The weight factor of the point, is the total number of regional junctions; According to the regional interaction parameter relationship, through matrix processing of the interaction characteristic values, combined with the weight characteristics of flow and pressure changes between regions, abnormal points of the interaction characteristics are screened and corrected item by item to generate a regional interaction parameter matrix.

[0010] As a further solution of the present invention, the step of obtaining the partition boundary adjustment factor value is specifically as follows: Based on the regional interaction parameter matrix, the dynamic conditions of the multi-zone boundaries are monitored, the variation range of the permeability coefficient and the water flow rate is extracted, and the real-time variation trend of the boundary conditions is analyzed by data comparison to obtain preliminary dynamic variation data of the permeability coefficient and the water flow rate; Utilizing the preliminary permeability coefficient and water flow rate dynamic change data, analyzing the fluid condition changes at each partition boundary, combining the monitored boundary condition baseline value with the current dynamic parameters, evaluating the change characteristics of the flow rate and permeability conditions, and generating partition permeability change and water flow rate change values; Combined with the partition infiltration change and water flow rate change value, recalculate the boundary adjustment factor, correct the boundary characteristics according to the dynamic conditions, correct the infiltration change range and water flow rate change parameters of each partition, record the dynamic adjustment parameter changes between partitions, and use the formula: ; Calculate and generate partition boundary adjustment factor value; in, Represents the partition boundary adjustment factor value, Indicates The change in permeability of the partition, is the base permeability coefficient, For the The current water flow rate of the partition, For the Base water flow rate for each zone, is the total number of partitions.

[0011] As a further solution of the present invention, the step of obtaining the regional interaction parameter matrix is ​​specifically as follows: Based on the partition boundary adjustment factor value, combined with the regional interaction parameter matrix, the dynamic change value of the flow velocity and the dynamic change value of the permeability coefficient of each partition are extracted, and the difference range of the change trend within the partition is determined according to the change interval of the flow velocity and the permeability coefficient, and the preliminary dynamic change error value of the partition flow velocity and the permeability coefficient is generated; Using the preliminary dynamic change error value, calibrating the deviation area number, analyzing the parameter offset characteristics of the deviation area based on the dynamic flow velocity change range and the permeability parameter change value of the deviation area, recombining and adjusting the transfer relationship, and generating a preliminary parameter transfer relationship of the deviation area; According to the preliminary parameter transfer relationship of the deviation area, the dynamic error of the deviation area is corrected in combination with the error correction factor, and the partition error is recalculated in combination with the flow rate change, the permeability parameter deviation and the dynamic pressure characteristics, using the formula: ; Calculate and generate partition error correction values; in, represents the calculated partition correction error correction value, is the real-time flow rate of the current partition, is the reference flow rate based on benchmark conditions, is based on the fluctuation range of the reference flow rate, is the current permeability coefficient, is the reference permeability coefficient, is the fluctuation range of the reference permeability coefficient, is the real-time dynamic pressure value, is the reference dynamic pressure value, is the partition weight factor, representing the calculation weight of each partition, is the total number of partitions participating in the calculation.

[0012] An intelligent water conservancy design simulation method, which is executed based on the above-mentioned intelligent water conservancy design simulation system, comprises the following steps: S1: Based on the slope of the basin terrain unit, surface roughness and rainfall intensity in the hydrological parameter set, the slope value, roughness value and rainfall intensity value are normalized, the basin unit characteristic fitting degree is calculated, the partition number is calibrated, the water balance difference and rainfall change within the partition range are calculated, and the dynamic partition change amplitude value is generated; S2: Based on the dynamic partition change amplitude value, the water flow rate and water flow momentum within the partition range are calculated, the water head height value of the partition boundary is extracted, the partition water flow relationship is adjusted in combination with the boundary flow velocity, the partition water flow characteristic data is calculated, and the partition water flow characteristic relationship value is generated; S3: Based on the partition water flow characteristic relationship value, the flow value and water pressure gradient value of the adjacent partition are called, the boundary parameter transfer rate is calculated, the boundary pressure change value and flow velocity change value are corrected, and the regional interaction parameter matrix is ​​generated; S4: Based on the regional interaction parameter matrix, extract the dynamic variation range of the permeability coefficient and the water flow rate under the partition boundary conditions, calculate the adjustment factor value, correct the boundary conditions within the partition range, and generate the partition boundary adjustment factor value; S5: Based on the partition boundary adjustment factor value, extract the error correction factor in the regional interaction parameter matrix, calculate the dynamic change error value, calibrate the deviation area number, correct the parameter transfer relationship of the deviation area, and generate the partition error correction value.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, the dynamic zoning of basin characteristics is achieved by normalizing parameters such as slope, roughness and rainfall intensity, thereby enhancing the adaptability to complex terrain and changes in hydrological parameters. Combined with the adjustment of water flow rate, flow volume and boundary conditions, a dynamic water flow relationship model is constructed to improve the accuracy of fluid behavior modeling and the flexibility of flow simulation. The dynamic coupling of flow and pressure gradient interactions between regions is utilized to optimize the transfer of boundary parameters and enhance cross-regional data consistency and model continuity. Dynamically adjust the permeability coefficient and water flow rate changes, correct boundary conditions, and enhance the model's ability to respond to real-time changes. Based on the error correction factor, the dynamic error of the zoning is reduced, and the precise control of water conservancy design parameters and the overall simulation reliability are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a system flow chart of the present invention; Figure 2 This is a flow chart of the steps for obtaining the dynamic partition change amplitude value of the present invention; Figure 3 A flow chart of the steps for obtaining the partition water flow characteristic relationship value of the present invention; Figure 4 A flowchart of the steps for obtaining the regional interaction parameter matrix of the present invention; Figure 5 A flow chart of the steps for obtaining the partition boundary adjustment factor value of the present invention; Figure 6 Flow chart of the steps of obtaining the partition error correction value of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0017] Example 1: Please refer to Figure 1 The present invention provides a technical solution: the intelligent water conservancy design simulation system includes: The dynamic partitioning module of watershed characteristics is based on the slope of the watershed terrain unit, the surface roughness and the rainfall intensity in the hydrological parameter set, normalizes the slope value, roughness value and rainfall distribution value, defines the fitting degree of the watershed unit characteristics, calibrates the partition number, calculates the water balance difference and rainfall change in the partition, and generates the dynamic partition change amplitude value; The partition adaptive modeling module calculates the water flow rate and flow volume in the partition based on the dynamic partition change amplitude value, obtains the partition boundary head height, adjusts the flow relationship model in combination with the boundary flow velocity, establishes the partition water flow relationship, and generates the partition water flow characteristic relationship value; The multi-region coupling dynamic interaction module is based on the partition water flow characteristic relationship value, calls the flow and water pressure gradient of the adjacent region, calculates the boundary parameter transfer rate, corrects the boundary pressure and flow velocity dynamic change value, constructs the interaction parameter relationship between the partitions, and generates the regional interaction parameter matrix; The dynamic adjustment mechanism module monitors the dynamic change range of the permeability coefficient and water flow rate in the partition boundary constraints based on the regional interaction parameter matrix, obtains the adjustment factor, recalculates the partition permeability change and water flow rate change value, corrects the partition boundary conditions, and generates the partition boundary adjustment factor value; The model verification and optimization module is based on the partition boundary adjustment factor value, uses the error correction factor and the regional interaction parameter matrix, calculates the dynamic change error value of the partition flow velocity and permeability coefficient, calibrates the deviation area number, corrects the parameter transfer relationship of the deviation area, and generates the partition error correction value.

[0018] The dynamic zoning change amplitude values ​​generated by the basin characteristics dynamic zoning module include water balance difference, rainfall change, and zoning number. The zoning water flow characteristic relationship values ​​generated by the zoning adaptive modeling module include water flow rate, flow volume, and boundary head height. The regional interaction parameter matrix generated by the multi-region coupling dynamic interaction module includes the junction parameter transfer rate, junction pressure dynamic change value, and junction flow velocity dynamic change value. The zoning boundary adjustment factor values ​​generated by the dynamic adjustment mechanism module include infiltration change value, water flow rate change value, and adjustment factor. The zoning error correction values ​​generated by the model verification and optimization module include dynamic change error value, deviation area number, and deviation area parameter transfer relationship.

[0019] See also Figure 2 , the specific steps for obtaining the dynamic partition change amplitude value are: By combining the slope distribution data and surface roughness distribution data of the basin terrain unit with the distribution information of rainfall intensity in the hydrological parameter set, the normalized slope value, roughness value and rainfall distribution value of each basin unit are calculated, the slope distribution range is analyzed, and a normalized feature set is generated; Through the slope distribution data and surface roughness distribution data of the basin terrain unit, combined with the distribution information of rainfall intensity in the hydrological parameter set, the slope distribution data is disassembled into a list of slope values ​​for each basin unit, the average slope of each unit is calculated and normalized, the surface roughness distribution data is called, and normalization is performed based on the physical value of the roughness and the roughness standard of the surface type. Combined with the rainfall intensity distribution information, the rainfall distribution coefficient is defined according to the distribution correlation between rainfall intensity and basin area, and the normalized slope value, roughness value and rainfall distribution coefficient are formed into a normalized parameter set. By eliminating abnormal values ​​that exceed the reasonable range during the normalization process, it is ensured that a normalized feature set is finally generated; According to the normalized slope value, normalized roughness value and normalized rainfall distribution value in the normalized feature set, the basin unit characteristic fitting function is constructed using the formula: ; Calculate the characteristic fitting degree of each watershed unit and obtain the distribution value of the characteristic fitting degree of the watershed unit; in, represents the feature fit, Representative The normalized slope value of each unit, Representative The normalized roughness value of the element, Representative The normalized rainfall distribution value of each unit, represents the total number of watershed units; formula: ; The benefit of the formula is that, through the comprehensive calculation of normalized slope value, roughness value and rainfall distribution coefficient, it reflects the correlation and balance between the characteristics of different watershed units and improves the calculation accuracy of the characteristic fitting degree; Detailed explanation of the formula and the process of formula calculation and derivation: (Take five watershed units for calculation), set the normalized slope value , normalized roughness value , normalized rainfall distribution value , substitute into the formula to calculate: Calculate the numerator part: ; Calculate the denominator: ; ; ; Calculate feature fit: ; The results show that the fitting degree of the basin unit characteristics is 0.353, which reflects the weighted combination degree of normalized slope value, roughness value and rainfall distribution coefficient. This result can be used as the basis for subsequent zoning. According to the distribution value of the characteristic fitting degree of the watershed unit, the partition number is calibrated, each watershed unit is sorted according to the characteristic fitting degree and divided into the corresponding partition, the fitting degree variation range within the partition is calculated, and the watershed units with fitting degrees lower than the threshold are eliminated to generate the calibrated watershed partition characteristic number; According to the distribution value of the characteristic fitting degree of the watershed unit, it is sorted into a list of units with characteristic fitting degrees from high to low. By judging whether the characteristic fitting degree is higher than the threshold of 0.35, the units with characteristic fitting degrees higher than the threshold are divided into high-quality partitions, and the units with characteristic fitting degrees lower than the threshold are divided into sub-optimal partitions. The characteristic partition number of each unit is marked, and the corresponding relationship table of characteristic fitting degrees and partition numbers is called to eliminate abnormal units that are inconsistent with the partition characteristic fitting degrees, and generate the calibrated watershed partition characteristic numbers; Through the calibrated basin partition characteristic number, the water balance difference and rainfall change in the partition are calculated, the data in the partition is filtered according to the difference calculation formula, the relationship between the change and the balance difference is determined, and the dynamic partition change amplitude value is obtained.

[0020] The water balance value of each unit in the partition is calculated through the calibrated basin partition characteristic number, and the water balance value is compared with the partition rainfall change. The ratio of the rainfall change to the water balance difference of each partition is calculated to determine whether it is less than 1. The partitions with ratios greater than 1 are eliminated, and the change amplitudes in the remaining partitions are statistically analyzed. The partitions with amplitudes higher than the average are selected as dynamic change areas to generate dynamic partition change amplitude values.

[0021] See also Figure 3 , the specific steps for obtaining the partition flow characteristic relationship value are: Based on the dynamic partition change amplitude value, the water flow rate and flow volume data of multiple areas in the partition are extracted, the weighted average of the flow velocity in the time period within the partition is accumulated, the water flow rate change amplitude is calculated based on the flow fluctuation range, the partitions are classified according to the flow velocity change interval, and the relationship value between the water flow rate and flow volume of the partition is generated; Based on the dynamic partition change amplitude value, the flow rate and flow volume data of each area in the partition are analyzed by collecting and recording the flow rate in a continuous time period. In the specific implementation process, the water flow rate of the partition is collected hourly by the flow rate monitoring equipment, and combined with the flow volume comparison data recorded by the flow sensor in the partition, the average flow rate value of the continuous time period is calculated based on the weighted average formula. The formula is: in, For each time period The flow rate, The weight of the time period is combined with the recorded flow fluctuation range to set the classification interval of the water flow rate. The classification screening is achieved by determining whether the flow rate data is within the upper and lower intervals. If the data does not meet the interval value, it is eliminated, and the data that meets the interval is retained for classification calculation. The weighted average value calculated for the classified flow rate interval belongs to the dynamic relationship of the partition, and the change amplitude is quantified according to the time change characteristics of the flow fluctuation. The quantification formula is: in, is the maximum value of the flow, is the minimum value, The time span of the flow volume is calculated by combining the water flow rate data with the flow volume variation characteristics to generate the relationship value between the water flow rate and the flow volume in the partition; According to the relationship between the water flow rate and the flow volume of the partition, the weight factor is corrected by combining the terrain height difference and the flow velocity value of the partition boundary, and the head height parameter is adjusted according to the boundary characteristic weight. The formula is: ; Calculate the water head height value of the partition boundary; in, Represents the water head height value of the partition boundary, Representative Flow velocity at the partition boundary, Representative The terrain height difference at the partition boundary, Represents the velocity weight adjustment coefficient of the partition boundary, Represents the weight coefficient for correction of terrain height difference at the partition boundary, Representative Boundary characteristic adjustment factor, Represents the total number of partition boundaries; formula: ; The benefit of the formula is that by introducing the boundary characteristic adjustment factor and velocity weight adjustment coefficient , which improves the sensitivity of water head height calculation to terrain and flow velocity, and reduces the error of boundary height change on the final calculation result; Detailed explanation of the formula and the process of formula calculation and derivation: Combined with the relationship between the water flow rate and flow volume of the partition, the partition boundary flow velocity recorded by the flow velocity monitoring device , obtain the terrain height difference of the partition boundary through terrain mapping , data correction is performed according to the boundary characteristics, and the influence of flow velocity and height difference is corrected by weighting. The flow velocity monitoring value in the partition is , the terrain height difference is , adjustment factor , velocity weight adjustment coefficient , terrain height difference correction weight coefficient , enter the formula for calculation: Calculate the numerator part: ; Calculate item by item: ; ; Calculate the denominator: ; Calculate item by item: ; ; Calculate the water head height: ; The result shows that the water head height value of the partition boundary is 0.769 meters, which indicates that the flow velocity, terrain height difference and boundary characteristic parameters have a significant effect on the calculation of the partition water head height. The correlation with the formula result is that it provides an accurate value for the final partition boundary height characteristic data; According to the water head height value of the partition boundary, combined with the boundary flow velocity, the flow characteristics of the water flow in the partition are adjusted. By dynamically adjusting the parameter ratio between the boundary flow velocity and the water head height, a partition water flow relationship model is established according to the flow change range. According to the water head height value of the partition boundary, combined with the boundary flow velocity, the flow characteristics of the water flow in the partition are adjusted. In the specific implementation process, the calculation method of the ratio of flow velocity to water head height is dynamically adjusted. The monitoring value recorded by the boundary flow velocity and the water head height value are classified. The dynamic parameter adjustment formula is: in, is the flow rate record within the partition, For the water head height value of each zone, the parameter ratio is calculated boundary by boundary, the flow characteristics of water flow are distinguished by dividing the ratio range, the overall flow characteristic parameters are calculated after classification, and the water flow relationship model of each zone is generated by classification and comparison; Based on the partitioned water flow relationship model, the characteristics and transfer parameters of the water flow within the partition are extracted. Combined with the flow velocity within the partition and the boundary flow velocity distribution characteristics, the water flow dynamic characteristic data is screened according to the flow velocity change rate and the water volume change ratio. The dynamic characteristic relationship within the partition is cumulatively calculated to obtain the partitioned water flow characteristic relationship value.

[0022] Based on the partitioned water flow relationship model, the water flow characteristics within the partition are extracted. In the specific implementation process, the distribution range of the flow velocity and boundary flow velocity characteristics is combined, and the change of the water flow distribution is quantified according to the velocity gradient formula. The flow trend is analyzed by the change of the dynamic characteristic value, and the overall characteristic parameters are obtained by cumulative calculation. The values ​​that match the overall dynamic characteristic relationship are screened, and the results are finally sorted out by classification to obtain the partitioned water flow characteristic relationship value.

[0023] See also Figure 4 , the specific steps for obtaining the regional interaction parameter matrix are: Based on the relation value of water flow characteristics in different zones, the flow data and water pressure gradient information of adjacent zones are called, and the flow exchange rate and water pressure difference between each zone are calculated by extracting the interval variation range of flow and water pressure distribution data, so as to generate the preliminary boundary parameter transfer rate. Based on the relationship value of the water flow characteristics of each zone, the flow data and water pressure gradient information of adjacent areas are extracted, and the fluctuation value of the flow data at different time points is obtained through monitoring equipment. According to the flow distribution characteristics of each area, the flow interval distribution calculation formula is used Calculate the flow change range of each area. When monitoring the water pressure gradient information, collect the pressure values ​​of multiple points in the area, and calculate the pressure gradient based on the height difference and pressure value change between each point. Use the formula Calculate the pressure gradient where, is the height difference, is the fluid density, is the acceleration due to gravity, To measure the distance between points, after obtaining the flow variation range and pressure gradient, the flow exchange rate and water pressure difference between regions are calculated by averaging the two values ​​point by point, and finally the preliminary boundary parameter transfer rate is generated; Using the preliminary boundary parameter transfer rate, combined with the real-time velocity data and pressure monitoring information of the adjacent area, the velocity fluctuation range and the change characteristics of the pressure gradient are corrected point by point, the corrected velocity change ratio and the pressure dynamic change range are calculated, and the corrected boundary pressure and velocity dynamic change value are generated; The velocity and pressure data are further corrected by using the preliminary boundary parameter transfer rate. The velocity data monitored in real time in the area are obtained, the velocity values ​​are arranged in time series, and the velocity fluctuation range is calculated by the difference method. According to the formula Obtain the flow rate change interval, and for the dynamic pressure change data, calculate the pressure gradient change between each point through the synchronous measurement values ​​of multiple pressure points in the same area, using the formula Calculate the dynamic range of pressure, where: To measure the distance between points, and are the maximum and minimum values ​​of the pressure point respectively, and the above-mentioned corrected velocity fluctuation range and pressure dynamic change range are brought into the boundary parameter calculation formula for updating, and finally the corrected boundary pressure and flow velocity dynamic change value are generated; The modified interface pressure and velocity dynamic change values ​​are used to calculate the interaction parameters between the partitions. The interaction characteristics are quantified by combining the flow difference and pressure difference of multiple regions, and the regional interaction parameter relationship is constructed using the formula: ; Calculate regional interaction parameter relationships; in, Representative and Interaction parameters between regions, Representative area and Interval The flow rate difference of the point Representative area and Interval The pressure difference at point For the inter-regional The flow resistance coefficient of the point, For the inter-regional The flow distance of a point, is the standard reference distance, For the The weight factor of the point, is the total number of regional junctions; formula: ; The benefit of the formula is that it can more accurately characterize the regional interaction characteristics by combining the interactive operations of flow difference, pressure difference, flow resistance coefficient and distance parameters, and can also enhance the adaptability of the calculation results by dynamically adjusting the weighting factors. Detailed explanation of the formula and the process of formula calculation and derivation: Indicates and Interaction parameters between regions, For the The flow rate difference of the point For the The pressure difference at point For the The flow resistance coefficient of the point, For the The flow distance of a point, is the standard reference distance, For the The weight factor of the point, is the total number of junction points; Through the monitoring of the acquisition equipment, the flow difference data is obtained: , the pressure difference data is , the flow resistance coefficient is , the flow distance is , the standard reference distance is , weight factor , total number of junction points ; Substituting the above values ​​into the formula: ; Step by step calculation: ; Sum: ; Final calculation: ; This result shows that the and The interaction parameter value of the region is 73.43, which characterizes the dynamic interaction characteristics of flow and pressure between the two regions and provides a calculation basis for the next step of matrix generation; According to the regional interaction parameter relationship, through matrix processing of the interaction characteristic values, combined with the weight characteristics of flow and pressure changes between regions, the abnormal points of the interaction characteristics are screened and corrected item by item to generate the regional interaction parameter matrix.

[0024] According to the regional interaction parameter relationship, the interaction parameters of each partition are quantified into a matrix, and the dynamic change data of the regional intersection points are collected. The flow difference and pressure difference are numerically normalized, and the interaction relationship between regions is displayed in matrix form in combination with the above interaction parameter values, and finally the regional interaction parameter matrix is ​​generated.

[0025] See also Figure 5 , the specific steps for obtaining the partition boundary adjustment factor value are: Based on the regional interaction parameter matrix, the dynamic conditions of the multi-zone boundaries are monitored, the variation range of the permeability coefficient and the water flow rate is extracted, and the real-time variation trend of the boundary conditions is analyzed through data comparison to obtain preliminary dynamic variation data of the permeability coefficient and the water flow rate; Based on the regional interaction parameter matrix, the dynamic conditions of each partition boundary are monitored to extract the variation range of boundary permeability coefficient and water flow rate. First, the initial value and current value of the boundary permeability coefficient need to be collected. The permeability of the monitored boundary material is measured through a permeability test to obtain the ratio of the flow rate and pressure gradient of the water flow through the unit area boundary, so as to calculate the variation of the initial value and dynamic value of the permeability coefficient. The difference formula is used The change in permeability coefficient is calculated, combined with the extraction of water flow rate data in different zones, and the flow rate monitoring instrument is used to record the change in water flow rate in different time periods. Based on the historical flow rate data and real-time monitoring data, the average flow rate formula is used to calculate the water flow rate. Calculate the dynamic mean of the water flow rate in the partition and extract the current flow rate value, and calculate the dynamic change of the two , perform the above calculations on each partition boundary, and obtain the change in permeability coefficient and water flow rate in turn. Finally, integrate the change trends based on the statistical data of multiple partitions to form preliminary dynamic change data of permeability coefficient and water flow rate.

[0026] Using the preliminary data on the dynamic changes of permeability coefficient and water flow rate, the changes in fluid conditions at each partition boundary are analyzed. Combined with the monitored boundary condition baseline values ​​and current dynamic parameters, the changing characteristics of flow velocity and permeability conditions are evaluated to generate the partition permeability change and water flow rate change values. Using the preliminary data on the dynamic changes of permeability coefficient and water flow rate, by analyzing the changing characteristics of the boundary fluid conditions of each partition, first select the partitions with significant changes from the above permeability coefficient and flow rate change values, and judge the significance according to the defined threshold, such as setting the threshold range or If the conditions are met, the partition data is selected. After extracting the data that meets the conditions, the historical data of the partition boundary conditions are combined, and the change trend model is constructed using the historical fluid monitoring values. The fitting formula The coefficients in Characterize the law of historical change, where the time parameter The parameters of the trend model are extracted and compared with the current real-time dynamic values ​​at the sampling time point, and the mean square error formula is used Analyze the change error and screen out the partitions with significant change patterns. Finally, recalculate the partition permeability coefficient change value and water flow rate change value based on the screened data to generate the partition permeability change and water flow rate change value.

[0027] Combined with the partition infiltration changes and water flow rate changes, recalculate the boundary adjustment factor, correct the boundary characteristics according to the dynamic conditions, correct the infiltration change range and water flow rate change parameters of each partition, record the dynamic adjustment parameter changes between partitions, and use the formula: ; Calculate and generate partition boundary adjustment factor value; in, Represents the partition boundary adjustment factor value, Indicates The change in permeability of the partition, is the base permeability coefficient, For the The current water flow rate of the partition, For the Base flow rate for each zone, is the total number of partitions.

[0028] formula: ; The benefit of the formula is that by introducing the dynamic product of the change in partition permeability coefficient and the change in water flow rate, combined with the ratio of the baseline permeability coefficient to the baseline water flow rate, and the average dynamic weight calculation of the total number of partitions, it is possible to quantify the overall partition boundary condition adjustment requirements and achieve overall optimization of the dynamic conditions.

[0029] Detailed explanation of the formula and the process of formula calculation and derivation: According to the formula, five partitions are selected as examples, assuming , the following values ​​are calculated through actual monitoring data: 1. , , , ; 2. , , , ; 3. , , , ; 4. , , , ; 5. , , , ; Compute the partition ratio for each term: ; ; ; ; ; Take the geometric mean: ; The result shows that the partition boundary adjustment factor value is 0.206, which is within the conventional interval [0.1, 0.3], indicating that the overall demand for boundary condition adjustment is relatively balanced, and the water flow distribution and permeability characteristics can be further optimized after adjustment.

[0030] See also Figure 6 , the specific steps for obtaining the partition error correction value are: Based on the partition boundary adjustment factor value and the regional interaction parameter matrix, the dynamic change value of flow velocity and permeability coefficient of each partition is extracted, and the difference range of the change trend within the partition is determined according to the change interval of flow velocity and permeability coefficient, and the preliminary dynamic change error value of the partition flow velocity and permeability coefficient is generated; Based on the partition boundary adjustment factor value, the dynamic change characteristics of the partition boundary are extracted. First, the change range of flow velocity and permeability coefficient is obtained. The current values ​​of flow velocity and permeability coefficient are extracted through real-time monitoring data, and their changes are calculated in combination with historical benchmark values. The flow velocity change can be calculated by the formula Calculate, where is the current flow rate, is the base flow rate, and the permeability coefficient changes by Calculate, where and They are the current and benchmark permeability coefficients, and the real-time pressure values ​​are collected through monitoring equipment. After the pressure values ​​are extracted, they are quantified. Combined with the change trend of each partition, the fluctuation range of flow rate and permeability coefficient is calculated according to the standard deviation. The amplitude of the dynamic change trend is further analyzed through the distribution characteristics of the difference interval. In the analysis, historical data and partition characteristics are combined, and the difference fluctuation and mean of the data are used to judge the change interval. By distributing all data in intervals, the standard deviation and change range of the intervals are compared, and finally the preliminary dynamic change error values ​​of the partition flow rate and permeability coefficient are generated.

[0031] Using the preliminary dynamic change error value, calibrate the deviation area number, analyze the parameter offset characteristics of the deviation area based on the dynamic flow velocity change range and the permeability parameter change value of the deviation area, recombin and adjust the transfer relationship, and generate the preliminary parameter transfer relationship of the deviation area; Using the initial dynamic change error value, calibrate the deviation area number, extract the number of the area with larger error value and analyze its dynamic distribution, first calculate the average deviation value of the error value of all partitions ,in is the error value for each partition, The deviation mean is calculated and used as the basis for dividing the error range. Then, the partitions are numbered and screened based on the deviation value. The area where the deviation value exceeds the deviation mean by more than one standard deviation is defined as the deviation area. The velocity change and infiltration parameter deviation characteristics of these areas are further analyzed. The infiltration parameter change value calculation formula is used , and adjust it in combination with its corresponding weight. Through the dynamic offset relationship calibration characteristics, the difference curve is generated by associating the changing trends of the current flow rate and the historical reference flow rate. These data are used to recombine the parameter transfer relationship, and finally the preliminary parameter transfer relationship of the deviation area is generated.

[0032] According to the preliminary parameter transfer relationship of the deviation area, the dynamic error of the deviation area is corrected in combination with the error correction factor, and the partition error is recalculated in combination with the flow rate change, the permeability parameter deviation and the dynamic pressure characteristics, using the formula: ; Calculate and generate partition error correction values; in, represents the calculated partition correction error correction value, is the real-time flow rate of the current partition, is the reference flow rate based on benchmark conditions, is based on the fluctuation range of the reference flow rate, is the current permeability coefficient, is the reference permeability coefficient, is the fluctuation range of the reference permeability coefficient, is the real-time dynamic pressure value, is the reference dynamic pressure value, is the partition weight factor, representing the calculation weight of each partition, is the total number of partitions participating in the calculation.

[0033] formula: ; The benefit of the formula is that, by combining the dynamic change characteristics of flow rate, permeability parameters and pressure, it can more comprehensively characterize the deviation characteristics between partitions, and by adjusting the weight factors, it enhances the responsiveness to local deviation areas and improves the accuracy and adaptability of error correction.

[0034] Detailed explanation of the formula and the process of formula calculation and derivation: Calculate flow rate difference ,assumed , , then the velocity difference is ; Calculate the standard deviation of flow rate , based on historical reference data ; Calculate the difference in permeability ,assumed , , then the permeability difference is ; Calculate the standard deviation of the permeability coefficient , based on historical reference data ; Calculate the pressure ratio ,assumed , , then the pressure ratio is ; Combined weight factor , substitute all parameters into the formula: ; assumed Partition, calculate the sum: ; The result shows that the modified error correction value of the partition is 11.115. Compared with the reference deviation range, this value indicates that the partition deviation is large and the transfer relationship needs to be further adjusted to balance the dynamic changes, thereby obtaining a more stable error correction value and optimizing the dynamic behavior within the partition.

[0035] The intelligent water conservancy design simulation method is executed based on the intelligent water conservancy design simulation system, and includes the following steps: S1: Based on the slope of the basin terrain unit, surface roughness and rainfall intensity in the hydrological parameter set, the slope value, roughness value and rainfall intensity value are normalized, the basin unit characteristic fitting degree is calculated, the partition number is calibrated, the water balance difference and rainfall change within the partition range are calculated, and the dynamic partition change amplitude value is generated; S2: Based on the dynamic partition change amplitude value, calculate the water flow rate and water flow momentum within the partition range, extract the water head height value of the partition boundary, adjust the partition water flow relationship in combination with the boundary flow velocity, calculate the partition water flow characteristic data, and generate the partition water flow characteristic relationship value; S3: Based on the water flow characteristic relationship value of the partition, the flow value and water pressure gradient value of the adjacent partition are called, the boundary parameter transfer rate is calculated, the boundary pressure change value and flow velocity change value are corrected, and the regional interaction parameter matrix is ​​generated; S4: Based on the regional interaction parameter matrix, extract the dynamic variation range of permeability coefficient and water flow rate under the partition boundary conditions, calculate the adjustment factor value, correct the boundary conditions within the partition range, and generate the partition boundary adjustment factor value; S5: Based on the partition boundary adjustment factor value, the error correction factor in the regional interaction parameter matrix is ​​extracted, the dynamic change error value is calculated, the deviation area number is calibrated, the parameter transfer relationship of the deviation area is corrected, and the partition error correction value is generated.

[0036] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. Intelligent water conservancy design simulation system, characterized by: The system comprises: The dynamic partitioning module of watershed characteristics is based on the slope of the watershed terrain unit, the surface roughness and the rainfall intensity in the hydrological parameter set, normalizes the slope value, roughness value and rainfall distribution value, defines the fitting degree of the watershed unit characteristics, calibrates the partition number, calculates the water balance difference and rainfall change in the partition, and generates the dynamic partition change amplitude value; The partition adaptive modeling module calculates the water flow rate and flow amount in the partition based on the dynamic partition change amplitude value, obtains the partition boundary head height, adjusts the flow relationship model in combination with the boundary flow velocity, establishes the partition water flow relationship, and generates the partition water flow characteristic relationship value; The multi-region coupling dynamic interaction module calls the flow and water pressure gradient of the adjacent regions based on the partition water flow characteristic relationship value, calculates the boundary parameter transfer rate, corrects the boundary pressure and flow velocity dynamic change value, constructs the interaction parameter relationship between the partitions, and generates the regional interaction parameter matrix; The dynamic adjustment mechanism module monitors the dynamic change amplitude of the permeability coefficient and the water flow rate in the partition boundary constraint based on the regional interaction parameter matrix, obtains the adjustment factor, recalculates the partition permeability change and the water flow rate change value, corrects the partition boundary condition, and generates the partition boundary adjustment factor value; The model verification and optimization module calculates the dynamic change error value of the partition flow velocity and permeability coefficient based on the partition boundary adjustment factor value, uses the error correction factor and the regional interaction parameter matrix, calibrates the deviation area number, corrects the deviation area parameter transfer relationship, and generates the partition error correction value.

2. The intelligent water conservancy design simulation system according to claim 1 is characterized in that: The steps for obtaining the dynamic partition change amplitude value are specifically as follows: By combining the slope distribution data and surface roughness distribution data of the basin terrain unit with the distribution information of rainfall intensity in the hydrological parameter set, the normalized slope value, roughness value and rainfall distribution value of each basin unit are calculated, the slope distribution range is analyzed, and a normalized feature set is generated; According to the normalized slope value, normalized roughness value and normalized rainfall distribution value in the normalized feature set, a basin unit characteristic fitting function is constructed using the formula: ； Calculate the characteristic fitting degree of each watershed unit and obtain the distribution value of the characteristic fitting degree of the watershed unit; in, represents the feature fit, Representative The normalized slope value of each unit, Representative The normalized roughness value of the element, Representative The normalized rainfall distribution value of each unit, represents the total number of watershed units; According to the distribution value of the characteristic fitting degree of the watershed unit, the partition number is calibrated, each watershed unit is sorted according to the characteristic fitting degree and divided into corresponding partitions, the fitting degree variation range within the partition is calculated, the watershed units with fitting degrees lower than the threshold are eliminated, and the calibrated watershed partition characteristic number is generated; The water balance difference and rainfall change in the partition are calculated through the calibrated basin partition characteristic number, the data in the partition is filtered according to the difference calculation formula, the relationship between the change and the balance difference is determined, and the dynamic partition change amplitude value is obtained.

3. The intelligent water conservancy design simulation system according to claim 2 is characterized in that: The steps for obtaining the partition water flow characteristic relationship value are specifically as follows: Based on the dynamic partition change amplitude value, the water flow rate and flow volume data of multiple areas in the partition are extracted, the weighted average of the flow velocity in the time period within the partition is accumulated, the water flow rate change amplitude is calculated based on the flow fluctuation range, the partitions are classified according to the flow velocity change interval, and the partition water flow rate and flow volume relationship value is generated; According to the relationship between the water flow rate and the flow volume of the partition, the weight factor is corrected by combining the terrain height difference and the flow velocity value of the partition boundary, and the head height parameter is adjusted according to the boundary characteristic weight. The formula is: ； Calculate the water head height value of the partition boundary; in, Represents the water head height value of the partition boundary, Representative Flow velocity at partition boundaries, Representative The terrain height difference at the partition boundary, Represents the velocity weight adjustment coefficient of the partition boundary, Represents the weight coefficient for correction of terrain height difference at the partition boundary, Representative Boundary characteristic adjustment factor, Represents the total number of partition boundaries; According to the water head height value of the partition boundary, the flow characteristics of the water flow in the partition are adjusted in combination with the boundary flow velocity, and the water flow relationship model of the partition is established according to the flow change range by dynamically adjusting the parameter ratio between the boundary flow velocity and the water head height; Based on the partitioned water flow relationship model, the characteristics and transfer parameters of the water flow in the partition are extracted. Combined with the flow velocity in the partition and the boundary flow velocity distribution characteristics, the water flow dynamic characteristic data is screened according to the flow velocity change rate and the water volume change ratio. The dynamic characteristic relationship in the partition is cumulatively calculated to obtain the partitioned water flow characteristic relationship value.

4. The intelligent water conservancy design simulation system according to claim 3 is characterized in that: The steps for obtaining the regional interaction parameter matrix are specifically as follows: Based on the partitioned water flow characteristic relationship value, the flow data and water pressure gradient information of the adjacent area are called, and the flow exchange rate and water pressure difference between each area are calculated by extracting the interval variation range of the flow and water pressure distribution data, so as to generate a preliminary boundary parameter transfer rate; By using the preliminary boundary parameter transfer rate, combined with the real-time flow velocity data and pressure monitoring information of the adjacent area, the flow velocity fluctuation range and the change characteristics of the pressure gradient are corrected point by point, the corrected flow velocity change ratio and the pressure dynamic change range are calculated, and the corrected boundary pressure and flow velocity dynamic change value are generated; The modified interface pressure and velocity dynamic change values ​​are used to calculate the interaction parameters between the partitions, and the interaction characteristics are quantified by combining the flow difference and pressure difference of multiple regions to construct the regional interaction parameter relationship using the formula: ； Calculate regional interaction parameter relationships; in, Representative and Interaction parameters between regions, Representative area and Interval The flow rate difference of the point Representative area and Interval The pressure difference at point For the inter-regional The flow resistance coefficient of the point, For the inter-regional The flow distance of a point, is the standard reference distance, For the The weight factor of the point, is the total number of regional junctions; According to the regional interaction parameter relationship, through matrix processing of the interaction characteristic values, combined with the weight characteristics of flow and pressure changes between regions, abnormal points of the interaction characteristics are screened and corrected item by item to generate a regional interaction parameter matrix.

5. The intelligent water conservancy design simulation system according to claim 4 is characterized in that: The steps for obtaining the partition boundary adjustment factor value are specifically as follows: Based on the regional interaction parameter matrix, the dynamic conditions of the multi-zone boundaries are monitored, the variation range of the permeability coefficient and the water flow rate is extracted, and the real-time variation trend of the boundary conditions is analyzed by data comparison to obtain preliminary dynamic variation data of the permeability coefficient and the water flow rate; Utilizing the preliminary permeability coefficient and water flow rate dynamic change data, analyzing the fluid condition changes at each partition boundary, combining the monitored boundary condition baseline value with the current dynamic parameters, evaluating the change characteristics of the flow rate and permeability conditions, and generating partition permeability change and water flow rate change values; Combined with the partition infiltration change and water flow rate change value, recalculate the boundary adjustment factor, correct the boundary characteristics according to the dynamic conditions, correct the infiltration change range and water flow rate change parameters of each partition, record the dynamic adjustment parameter changes between partitions, and use the formula: ； Calculate and generate partition boundary adjustment factor value; in, Represents the partition boundary adjustment factor value, Indicates The change in permeability of the partition, is the base permeability coefficient, For the The current water flow rate of the partition, For the Base flow rate for each zone, is the total number of partitions.

6. The intelligent water conservancy design simulation system according to claim 5 is characterized in that: The steps for obtaining the regional interaction parameter matrix are specifically as follows: Based on the partition boundary adjustment factor value, combined with the regional interaction parameter matrix, the dynamic change value of the flow velocity and the dynamic change value of the permeability coefficient of each partition are extracted, and the difference range of the change trend within the partition is determined according to the change interval of the flow velocity and the permeability coefficient, and the preliminary dynamic change error value of the partition flow velocity and the permeability coefficient is generated; Using the preliminary dynamic change error value, calibrating the deviation area number, analyzing the parameter offset characteristics of the deviation area based on the dynamic flow velocity change range and the permeability parameter change value of the deviation area, recombining and adjusting the transfer relationship, and generating a preliminary parameter transfer relationship of the deviation area; According to the preliminary parameter transfer relationship of the deviation area, the dynamic error of the deviation area is corrected in combination with the error correction factor, and the partition error is recalculated in combination with the flow rate change, the permeability parameter deviation and the dynamic pressure characteristics, using the formula: ； Calculate and generate partition error correction values; in, represents the calculated partition correction error correction value, is the real-time flow rate of the current partition, is the reference flow rate based on benchmark conditions, is based on the fluctuation range of the reference flow rate, is the current permeability coefficient, is the reference permeability coefficient, is the fluctuation range of the reference permeability coefficient, is the real-time dynamic pressure value, is the reference dynamic pressure value, is the partition weight factor, representing the calculation weight of each partition, is the total number of partitions participating in the calculation.

7. Intelligent water conservancy design simulation method, characterized in that: According to any one of claims 1 to 6, the intelligent water conservancy design simulation system is implemented, comprising the following steps: S1: Based on the slope of the basin terrain unit, surface roughness and rainfall intensity in the hydrological parameter set, the slope value, roughness value and rainfall intensity value are normalized, the basin unit characteristic fitting degree is calculated, the partition number is calibrated, the water balance difference and rainfall change within the partition range are calculated, and the dynamic partition change amplitude value is generated; S2: Based on the dynamic partition change amplitude value, the water flow rate and water flow momentum within the partition range are calculated, the water head height value of the partition boundary is extracted, the partition water flow relationship is adjusted in combination with the boundary flow velocity, the partition water flow characteristic data is calculated, and the partition water flow characteristic relationship value is generated; S3: Based on the partition water flow characteristic relationship value, the flow value and water pressure gradient value of the adjacent partition are called, the boundary parameter transfer rate is calculated, the boundary pressure change value and flow velocity change value are corrected, and the regional interaction parameter matrix is ​​generated; S4: Based on the regional interaction parameter matrix, extract the dynamic variation range of the permeability coefficient and the water flow rate under the partition boundary conditions, calculate the adjustment factor value, correct the boundary conditions within the partition range, and generate the partition boundary adjustment factor value; S5: Based on the partition boundary adjustment factor value, extract the error correction factor in the regional interaction parameter matrix, calculate the dynamic change error value, calibrate the deviation area number, correct the parameter transfer relationship of the deviation area, and generate the partition error correction value.

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