Water distribution scheduling method and system based on model rehearsal technology

Abstract

The invention provides a water distribution scheduling method based on a model rehearsal technology, and the method comprises the steps: inputting a water distribution plan and a channel water supply capability into a water distribution management module in a water distribution model, and obtaining a future water distribution condition; the planned flow and the flow relation constraint are input into a hydrodynamic model in the water distribution model, and the water condition is predicted; according to the water reaching condition, gate reference data are obtained through a gate calculation formula; generating a water distribution model prediction result in combination with the predicted water supply condition and the gate reference data; and performing simulation deduction on a water distribution model prediction result and an actual water supply process constraint condition to obtain a detailed prediction result.

Description

Technical Field

[0001] The invention belongs to the technical field of optimization scheduling, and in particular relates to a water distribution scheduling method based on model preview technology. Background Art

[0002] In some areas, due to the limitation of natural conditions, water resources are scarce and unevenly distributed, and irrigation areas especially need to use water resources efficiently to achieve sustainable development. However, the current irrigation area management has problems such as few information collection points, backward means, single information transmission, poor comprehensive integration ability of information system, lack of application software development for irrigation area characteristics, and poor information sharing, which seriously restricts the efficient use of water resources in irrigation areas. For water use scheduling in the whole area, there is a lack of efficient water diversion and distribution methods. Summary of the invention

[0003] In response to the above technical problems, the present invention proposes a water distribution scheduling method based on model preview technology. The method combines digital twin technology to construct a three-dimensional digital model of the irrigation area to achieve simulation preview and optimization of water distribution scheduling, thereby providing scientific decision-making support for irrigation area water conservancy project management, agricultural production, flood control and drought relief, etc.

[0004] The first aspect of the present invention provides: a water distribution scheduling method based on model preview technology, comprising:

[0005] Input the water distribution plan and channel water supply capacity into the water distribution management module in the water distribution model to obtain the future water distribution situation;

[0006] The planned flow and flow relationship constraints are input into the hydrodynamic model in the water distribution model to predict the water situation;

[0007] According to the water situation, gate reference data is obtained through a gate calculation formula; combining the predicted water situation with the gate reference data, a water distribution model prediction result is generated;

[0008] The prediction results of the water distribution model and the constraints of the actual water supply process are simulated and deduced to obtain detailed prediction results.

[0009] The second aspect of the present invention provides: a water distribution scheduling system based on model preview technology, the system comprising at least one processor; and a memory storing instructions, which, when executed by at least one processor, implement the steps of the above method.

[0010] The third aspect of the present invention provides: a computer-readable storage medium having a computer program / instruction stored thereon, characterized in that the computer program / instruction implements the steps of the above method when executed by a processor.

[0011] The fourth aspect of the present invention provides: a computer program product, comprising a computer program / instruction, characterized in that the computer program / instruction implements the steps of the above method when executed by a processor.

[0012] A fifth aspect of the present invention provides: a network system, comprising: a first server and a second server, wherein the first server or the second server is capable of executing the steps of the above method.

[0013] The beneficial effect of the present invention is that a multi-level model is used for calculation calibration to achieve the purpose of accurately simulating and rehearsing water distribution scheduling conditions.

[0014] The present invention combines digital twin technology with traditional farmland water conservancy disciplines, and constructs a digital twin irrigation district taking a typical irrigation district as an example, realizing real-time interaction and integration between the physical world and the information world, and providing decision-making support and information services with high scientificity and predictiveness for different functional departments such as irrigation district water conservancy project management, agricultural production, flood control and drought relief, water-saving irrigation, environmental protection, soil and water conservation, and information services. It is of great significance to promote the scientific and technological progress of irrigation district water conservancy, develop precision agriculture, and accelerate the high-quality development of water conservancy in the new stage. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 Schematic diagram of a detailed water distribution plan generation module according to an embodiment of the present invention;

[0016] Figure 2 Detailed water distribution plan generation flow chart of the embodiment of the present invention;

[0017] Figure 3 A flow chart for generating future water distribution conditions according to an embodiment of the present invention;

[0018] Figure 4 Detailed prediction result flow chart of the embodiment of the present invention;

[0019] Figure 5 A flow chart of generating a water distribution plan according to an embodiment of the present invention;

[0020] Figure 6 Hydrodynamic model configuration process of the embodiment of the present invention Figure 2 ;

[0021] Figure 7 Iterative flow chart of the hydrodynamic model according to an embodiment of the present invention;

[0022] Figure 8 Schematic diagram of Case 1 and Case 2 of an embodiment of the present invention;

[0023] Fig. 9 Schematic diagram of the relationship between water inflow and water outflow in an embodiment of the present invention;

[0024] Fig.10Flowchart of the water storage space 1 of the embodiment of the present invention being greater than the first set value;

[0025] Fig.11 Flowchart of the embodiment of the present invention in which the water space 1 is not greater than the first set value;

[0026] Fig.12 Flood discharge flow chart of an embodiment of the present invention;

[0027] Fig.13 A schematic diagram of the system structure of an embodiment of the present invention;

[0028] Fig.14 The interface of water distribution management in the embodiment of the present invention;

[0029] Fig.15 The interface of the water distribution model of the embodiment of the present invention;

[0030] Fig.16 The interface of the water distribution preview of the embodiment of the present invention;

[0031] Fig.17 The interface of the water distribution plan according to the embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following examples further illustrate the content of the present invention, but should not be construed as limiting the present invention. Without departing from the spirit and substance of the present invention, modifications or substitutions made to the methods, steps or conditions of the present invention all fall within the scope of the present invention.

[0033] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0034] In some embodiments of the present invention, Figure 1-17 As shown:

[0035] A water distribution scheduling method based on model preview technology, comprising:

[0036] Input the water distribution plan and channel water supply capacity into the water distribution management module in the water distribution model to obtain the future water distribution situation;

[0037] The planned flow and flow relationship constraints are input into the hydrodynamic model in the water distribution model to predict the water situation;

[0038] According to the water situation, gate reference data is obtained through a gate calculation formula; combining the predicted water situation with the gate reference data, a water distribution model prediction result is generated;

[0039] The prediction results of the water distribution model and the constraints of the actual water supply process are simulated and deduced to obtain detailed prediction results.

[0040] In these embodiments:

[0041] Through water distribution management, a basic water distribution plan is obtained, and then graded calculation and prediction are carried out to obtain the water situation, and graded calculation is carried out to avoid water distribution exceeding the total planned water distribution volume, while also avoiding insufficient water distribution; the hydrodynamic model simulates the water distribution process to obtain accurate water distribution data; thereby, gate reference data such as gate opening height are inferred; gate opening height (h) = f (upstream water level, downstream water level, flow requirement, gate type), and the water distribution process is finely coordinated and controlled to achieve accurate supervision of water distribution results, while achieving accurate and efficient control of the water distribution process.

[0042] In some embodiments of the present invention, Figure 3 As shown:

[0043] The step of inputting the water distribution plan and the channel water supply capacity into the water distribution model to obtain the future water distribution situation includes:

[0044] Calculate the future water distribution situation based on the water distribution plan and channel water supply capacity;

[0045] If the future water distribution situation exceeds the total water consumption indicator, an over-limit warning message will be displayed at the same time.

[0046] In some embodiments of the present invention, Figure 1 As shown: the water arrival situation includes: the predicted time when the water head reaches each water distribution outlet, the water level when the water head reaches each water distribution outlet, and the flow rate when the water head reaches each water distribution outlet.

[0047] The flow relationship constraints include: the calibration results of the channel section water level flow relationship and the channel water distribution capacity;

[0048] The calibration result of the channel section water level flow relationship includes the water depth of the channel section and the flow value corresponding to the water depth;

[0049] The water distribution capacity of a channel includes: channel length, channel section width, slope coefficient, channel bottom depth, channel water utilization coefficient, and longitudinal slope.

[0050] In these embodiments: the calibration result of the water level-flow relationship of the channel section mainly includes the water depth of the channel section and the flow value corresponding to the water depth, providing services for irrigation water distribution in the irrigation area.

[0051] The water supply and distribution capacity of a channel mainly includes indicators such as channel length, channel section width, slope coefficient, channel bottom depth, channel water utilization coefficient, and longitudinal slope.

[0052] In some embodiments of the present invention, Figure 4 As shown:

[0053] The steps of simulating and deducing the future water distribution situation according to the actual water supply process constraints to obtain detailed prediction results include:

[0054] Based on the prediction results of the water distribution model, the actual water supply process of the channel is simulated and deduced, and the water release time and the water head arrival position are simulated and deduced according to the dynamic analysis of the water head flow rate;

[0055] Display the name of the station where the water head currently reaches, and generate detailed forecast results in the form of a viewable list;

[0056] The water distribution plan includes: the total water diversion volume from the water intake this year and the total water consumption of water-using units.

[0057] In some embodiments of the present invention, Figure 5 As shown:

[0058] The method further comprises:

[0059] The prediction results of the water distribution model are used to generate a water distribution plan, which serves as a reference document and archival record for water distribution scheduling work.

[0060] In some embodiments of the present invention, Figure 6-7 As shown:

[0061] The hydrodynamic model is configured to include:

[0062] Construct a channel system grid model based on the research scope and spatial data;

[0063] Grid generation is performed based on computational efficiency and accuracy requirements;

[0064] And the discrete Saint-Venant equation is calculated based on the water flow motion process;

[0065] Set boundary conditions according to the scheduling plan;

[0066] Iterate according to the iteration conditions until the iteration end conditions are reached, and output the simulation results of the hydrodynamic model.

[0067] In these embodiments:

[0068] Formula (I) is the two-dimensional hydrodynamic (Saint-Venant equations) formula, and formula (II) is the further calculation result obtained by discretizing the Saint-Venant equations by the finite difference method.

[0069] In formula (I):

[0070] U: represents the conserved variables in vector form, usually including the speed and height of the water flow, which is used to describe the basic state of the water flow; t: represents time, which is an important parameter in the equation to describe the change of water flow over time; x: represents the spatial coordinate, specifically the position along the river direction, which is used to describe the change of water flow in space; F: is the flux vector, which describes the flow of water in the river, including speed, flow, etc.; S ζ : Coriolis force source term, which takes into account the influence of the earth's rotation on the water flow movement and is an important external force factor in the water flow movement; S f : Friction source term, which represents the friction between the water flow and the riverbed and affects the water flow velocity, flow direction, etc.; S in :Input source term, which represents the impact of external water sources (such as rainfall, irrigation, etc.) on river flow, and is an important external factor in water flow changes.

[0071]

[0072] In formula (II):

[0073] Represents the discrete solution vector at time step n and space step m; Represents the discrete source term vector at time step n and space step m, reflecting the influence of external or internal sources on the system; Represents the discrete coefficient matrix at time step n and space step m. These coefficients are related to the physical characteristics of the system and affect the solution process of the equation; It is the discrete coefficient at time step n and space step m, which is usually related to the spatial distribution characteristics of the system, such as the properties of the medium.

[0074] In some embodiments of the present invention, Figure 8-10 As shown:

[0075] The water distribution plan and channel water supply capacity are input into the water distribution management module, and the steps of obtaining the future water distribution situation also include:

[0076] Update unit requirements, determine whether the first space value (i.e., water storage space 1, hereinafter referred to as space 1; the second space, i.e., water storage space 2, hereinafter referred to as space 2) is greater than a first set value (in this embodiment, the value is: 0, and the value can also be any value from 0.1, 0.5, 1, -1 to 1, or set to other values ​​according to the situation), if the first space value is greater than the first set value, perform the first situation judgment; if not, perform the second situation judgment;

[0077] The first case assessment includes:

[0078] Determine whether the water inflow (water diverted from the head of the canal + water produced by rainfall) is less than the water demand (water storage space 1 + configuration demand + downstream water supply); if the water inflow is less than the water demand, increase the water diversion from the head of the canal in the water inflow.

[0079] In some embodiments of the present invention, Figure 8-11 As shown:

[0080] The second situation determination includes: determining whether the water inflow is less than the water demand;

[0081] If the water inflow is less than the water demand, the headwater diversion amount in the water inflow is increased;

[0082] If the inflow is not less than the required water volume, the headwater diversion volume in the water volume will be reduced, and the flood discharge process will be entered.

[0083] In some embodiments of the present invention, Figure 8-12 As shown:

[0084] The flood discharge process includes:

[0085] Determine whether the updated second space value is greater than the first set value, if it is greater than the first set value, no flood discharge is required, and the first space value is updated;

[0086] If it is not greater than the first set value, flood discharge is required and a second space value judgment is performed;

[0087] Determine whether the updated second space value is less than the difference between the maximum water diversion capacity of the main channel and the configuration requirement; if so, enable flood discharge of the main channel and update the first space value;

[0088] If it is not less than, the main channel and the flood discharge gate will be activated at the same time to update the first space value and the second space value.

[0089] In these embodiments:

[0090] Water distribution scheduling model calculation process:

[0091] Update unit requirements,

[0092] Determine whether space 1 is greater than 1?

[0093] If yes, go to case 1, if no, go to case 2;

[0094] Case 1: Judgment: Headwater diversion + Rainfall water production < Water storage space 1 + Configuration demand + Downstream water supply? If yes, increase the headwater diversion, updated water diversion volume = Water storage space 1 ++ Configuration demand + Downstream water supply - Rainfall water production, Update space 1 = 0, Update space 2 = Interval water storage between high water level and normal water level, enter the next moment; No, reduce the headwater diversion, updated water diversion volume = Water storage space 1 + Configuration demand + Downstream water supply - Rainfall water production, Update space 1 = 0, Update space 2 = Interval water storage between high water level and long water level, enter the next moment.

[0095] Case 2: Judgment: Headwater diversion + rainfall water production < water storage space 1 + configuration demand + downstream water supply? If yes, then increase the water diversion amount of the headwater diversion update = initial space 1 + configuration demand + downstream water supply - rainfall water production (constrained by the maximum water diversion amount), update space 1 = 0, update space 2 = interval water storage between high water level and normal water level, and enter the next moment; No, increase or decrease the water diversion amount of the headwater diversion update = initial space 1 + configuration demand + downstream water supply - rainfall water production (the water diversion amount can be constrained by the minimum water diversion amount), update space 2 = initial space 2 - (rainfall water production + updated water diversion amount - configuration demand - downstream water supply), and enter the flood discharge process.

[0096] Flood discharge process:

[0097] Judgment: Updated space 2>0? If 2>0, no flood discharge is required Updated space 1 = initial space 1-(rainfall water production + updated water diversion-configuration demand-downstream water supply);

[0098] No, flood discharge is required:

[0099] Start judging Abs (updated space 2) < maximum water diversion capacity of the main canal - configuration requirements? ; Yes, then enable the main canal flood discharge. The updated main canal water diversion volume = configuration requirements - updated space 2 (constrained by the maximum water diversion volume), update space 1 = interval water storage between high water level and normal water level (negative), update space 2 = 0, and enter the next moment; No, enable the main canal flood discharge and the flood discharge gate flood discharge at the same time

[0100] Updated main canal water diversion = main canal maximum water diversion capacity flood discharge = abs(updated space 2)-(updated main canal water diversion-configuration requirements) (constrained by maximum flood discharge capacity), updated space 2 = initial space 2-(rainfall water production + updated water diversion-updated water diversion-updated main canal water diversion-downstream water supply-flood discharge), updated space 1 = initial space 1-(rainfall water production + updated water diversion-updated water diversion-updated main canal water diversion-downstream water supply-flood discharge).

[0101] The flood discharge process is completed.

[0102] Irrigation scheduling is managed according to the normal water level. If the water level is lower, water diversion is increased, and if it is higher, no additional water diversion is required. After rainfall, the high water level is used as the basis for flood control management. If the water level is lower, no flood control measures are required, and if it is higher, flood control measures need to be used. Flood control measures and their activation sequence include reducing water diversion at the head of the canal, increasing water diversion in the main canal, and opening flood discharge. The water distribution plan is optimized for different situations where the water storage space 1 is positive and the water storage space is negative, and the water level is accurately controlled according to the adjustment relationship between the water storage space 1 and the related water inflow and water outflow.

[0103] In some embodiments of the present invention, Fig.13 As shown: The difference from the above embodiment is: a network system, including: a first server and a second server, wherein the first server or the second server can execute the steps of the above method.

[0104] In some embodiments of the present invention, Figure 1 As shown, the difference from the above embodiment is: a computer program product, including a computer program / instruction, characterized in that the computer program / instruction implements the steps of the above method when executed by a processor.

[0105] In some embodiments of the present invention, Fig.13 As shown, the difference from the above embodiment is: a computer-readable storage medium, on which a computer program / instruction is stored, characterized in that the steps of the above method are implemented when the computer program / instruction is executed by a processor.

[0106] In some embodiments of the present invention, Fig.13 As shown, the difference from the above embodiment is: a water distribution scheduling system based on model preview technology, the system includes at least one processor; and a memory, which stores instructions, and when the instructions are executed by at least one processor, the steps of the above method are implemented.

[0107] The present invention can also simulate the water distribution plan in the three-dimensional digital model of the irrigation area through digital twin technology, and the generation of the three-dimensional real scene map specifically includes the following steps:

[0108] The three-dimensional model of the topography of the irrigation area, GIS data, 720° panoramic composite image, and aerial photography data are obtained; and the three-dimensional model of the topography is embedded into the three-dimensional model to obtain a three-dimensional real-scene map.

[0109] Among them, the geographical location data includes the geographical location of the irrigation area; the water source project data includes the location distribution, construction time, and water diversion method of the irrigation area water source and important water diversion gates; the diversion and drainage project data includes the location distribution, length, design flow, and lining conditions of each diversion and drainage project.

[0110] Combined with the engineering information of the irrigation area (engineering information includes water level before the gate, water level after the gate, gate opening height, real-time video) and environmental information, the water distribution plan is simulated in the three-dimensional digital model of the irrigation area through digital twin technology to obtain an optimized water distribution plan;

[0111] In the specific implementation method, based on the digital twin technology, combined with the irrigation project conditions, environmental conditions, and weather conditions, the irrigation plan is simulated and rehearsed in a digital irrigation environment. This can provide information such as the time when the water head passes through each gate station, water level, flow, gate opening height, water release time, and water release volume, providing technical support for accurate decision-making.

[0112] In some other implementations, the digital twin platform is implemented based on a virtual reality development engine.

[0113] 3D visualization development framework based on spatiotemporal data: cross-platform, cross-browser, virtual earth web application for 3D earth and map, 3D visualization development framework based on spatiotemporal data. Supports 3D map display, can draw graphics, highlight areas, and visualize various data such as 3D models, and provides good touch support. Virtual reality development engine: a comprehensive multi-platform development tool for interactive content such as 3D video, architectural visualization, real-time 3D animation, etc., supports web browsing, and is suitable for 3D scene production and display.

[0114] The virtual reality development engine is a multi-platform comprehensive development tool that is compatible with a variety of interactive content. For specific implementation methods, please refer to the following embodiments:

[0115] Example:

[0116] The Yahekou Irrigation District was selected as a typical irrigation district, and a three-dimensional digital simulation display of the irrigation district was carried out by using simulation, digital twin and other technical means, combined with the actual application scenarios of the irrigation district.

[0117] S1 water distribution scheduling simulation preview

[0118] Based on mathematical models such as irrigation district water demand model and scheduling model, combined with real-time channel monitoring data, irrigation district water period table and other information, scheduling simulation is carried out for the headwaters, channels, and important control gates on the main and branch canals of the irrigation district, and a scientific water distribution plan is formed through the platform, and a scenario-based simulation preview of the water distribution plan is performed. An interactive interface of this embodiment is shown in FIG. Figure 4 As shown,

[0119] 1) Water distribution management.

[0120] Check the water distribution of the day based on real-time monitoring data; check the water distribution of the next three days based on the calculation results of the water distribution plan and channel water supply capacity through the water distribution model function; when the total water consumption index is exceeded, it will be displayed in red and the over-limit warning information will be displayed at the same time. Figure 2 .

[0121] 2) Water distribution model. Through the water distribution model function, the entire water distribution process can be calculated based on the planned flow, the calibration results of the relationship between the water level and flow in the channel section, and the water distribution capacity of the channel, using the hydrodynamic model, and predicting the time when the water head reaches each water distribution port, the water level at arrival, the flow at arrival, and other data. In addition, the gate opening height is calculated based on the gate calculation formula to provide reference data for the staff. (Water distribution model prediction results) The application interface of this embodiment is as follows Figure 3 .

[0122] 3) Water distribution rehearsal.

[0123] Load the oblique photography model;

[0124] Based on the prediction results of the water distribution model, the actual water supply process of the channel is simulated and the water release time and the water head arrival position are dynamically analyzed according to the water head flow rate;

[0125] The name of the station where the water head currently reaches is highlighted, and detailed prediction results can be viewed in the form of a list.

[0126] 4) Water distribution plan. The prediction results of the water distribution model are used to generate a water distribution plan, which serves as a reference document and archival record for water distribution scheduling.

[0127] In these embodiments, Figure 14-17 :

[0128] Digital twin technology uses digital means to build a virtual entity that is identical to the physical world, thereby realizing the understanding, analysis, prediction, optimization and control decision-making of physical entities.

[0129] Some methods for realizing digital management of irrigation areas based on digital twin platforms include: Figure 1 ,include:

[0130] S1 water distribution scheduling simulation preview step, which specifically includes:

[0131] Check the water distribution situation of the day and the next three days. According to the water use plan and the water diversion flow of the day, predict the number of days of sustainable water supply, and display the warning information of exceeding the limit value;

[0132] Taking the planned flow, the calibration results of the relationship between the water level and flow in the channel section and the water distribution capacity of the channel as input data, a detailed water distribution plan is predicted, which includes the time when the water head reaches each water distribution outlet, the water level at arrival, and the flow data at arrival;

[0133] The water distribution plan is simulated in a scenario-based manner in a three-dimensional digital model.

[0134] Based on mathematical models such as irrigation area water demand model and scheduling model, combined with real-time channel monitoring data, water distribution plan and other information, scheduling simulation is carried out for the head of the irrigation area, channel, and important control gates on the main and branch canals, and a scientific water distribution plan is formed through the platform, and a scenario-based simulation rehearsal of the water distribution plan is carried out. During the simulation rehearsal, we can understand the time it takes for the water head to pass through each gate station, as well as the water level, flow, gate opening height, planned water release time, cumulative water release and other information passing through a certain gate station, providing data support for precision irrigation.

[0135] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0136] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0137] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments described herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0138] Although the present invention has been described in detail above by general description, specific implementation methods and experiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A water distribution scheduling method based on model preview technology, characterized in that: include: Input the water distribution plan and channel water supply capacity into the water distribution management module to obtain the future water distribution situation; The planned flow and flow relationship constraints are input into the hydrodynamic model to predict the water situation; Generate a water distribution model prediction result based on the water situation and gate reference data; The prediction results of the water distribution model and the constraints of the actual water supply process are simulated and deduced to obtain detailed prediction results.

2. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The step of inputting the water distribution plan and the channel water supply capacity into the water distribution model to obtain the future water distribution situation includes: Calculate the future water distribution situation based on the water distribution plan and channel water supply capacity; If the future water distribution situation exceeds the total water consumption indicator, an over-limit warning message will be displayed at the same time.

3. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The water arrival conditions include: the predicted time when the water head reaches each water distribution outlet, the water level when the water head reaches each water distribution outlet, and the flow rate when the water head reaches each water distribution outlet. The flow relationship constraints include: the calibration results of the channel section water level flow relationship and the channel water distribution capacity; The calibration result of the channel section water level flow relationship includes the water depth of the channel section and the flow value corresponding to the water depth; The water distribution capacity of a channel includes: channel length, channel section width, slope coefficient, channel bottom depth, channel water utilization coefficient, and longitudinal slope.

4. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The water distribution model prediction results and the actual water supply process constraints are simulated and deduced to obtain detailed prediction results, including: Based on the prediction results of the water distribution model, the actual water supply process of the channel is simulated and deduced, and the water release time and the water head arrival position are simulated and deduced according to the dynamic analysis of the water head flow rate; Display the name of the station where the water head currently reaches, and generate detailed forecast results in the form of a viewable list; The water distribution plan includes: the total water diversion volume from the water intake this year and the total water consumption of water-using units.

5. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The method further comprises: The prediction results of the water distribution model are used to generate a water distribution plan, which serves as a reference document and archival record for water distribution scheduling work.

6. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The hydrodynamic model is configured to include: Construct a channel system grid model based on the research scope and spatial data; Grid generation is performed based on computational efficiency and accuracy requirements; And the discrete Saint-Venant equation is calculated based on the water flow motion process; setting boundary conditions based on the described future water distribution; Iterate according to the iteration conditions until the iteration end conditions are reached, output the simulation results of the hydrodynamic model, and predict the water conditions.

7. The water distribution scheduling method based on model preview technology according to claim 1 is characterized in that: The water distribution plan and channel water supply capacity are input into the water distribution management module, and the steps of obtaining the future water distribution situation also include: Update unit requirements, determine whether the first space value is greater than the first set value, if the first space value is greater than the first set value, perform a first situation determination; if not, perform a second situation determination; The first case assessment includes: Determine whether the water inflow is less than the water demand; if the water inflow is less than the water demand, increase the headwater diversion amount in the water inflow.

8. The water distribution scheduling method based on model preview technology according to claim 7 is characterized in that: The second situation determination includes: determining whether the water inflow is less than the water demand; If the water inflow is less than the water demand, the headwater diversion amount in the water inflow is increased; If the inflow is not less than the required water volume, the headwater diversion volume in the water volume will be reduced, and the flood discharge process will be entered.

9. The water distribution scheduling method based on model preview technology according to claim 8 is characterized in that: The flood discharge process includes: Determine whether the updated second space value is greater than the first set value, if it is greater than the first set value, no flood discharge is required, and the first space value is updated; If it is not greater than the first set value, flood discharge is required and a second space value judgment is performed; Determine whether the updated second space value is less than the difference between the maximum water diversion capacity of the main channel and the configuration requirement; if so, enable flood discharge of the main channel and update the first space value; If it is not less than, the main channel and the flood discharge gate will be activated at the same time to update the first space value and the second space value.

10. A water distribution scheduling system based on model preview technology, the system comprising at least one processor; and a memory storing instructions, which, when executed by at least one processor, implement the steps of the method described in any one of claims 1-9.

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