A low-flow-year emergency water supply dispatching calculation method and system based on digital twinning

Abstract

The application relates to the cross technical field of a new generation of information technology and reservoir water supply scheduling, in particular to a dry-year emergency water supply scheduling calculation method and system based on digital twinning, which is based on a digital twinning system, adopts an optimized water supply scheduling model, combines real-time water storage conditions and predicted inflow and water demand conditions, optimizes water supply scheduling rules, calculates a reservoir water supply process and compares the water supply process with an emergency water supply control line, and when the water supply process is lower than the emergency water supply control line, early warning is given to water supply scheduling, optimal allocation of reservoir group water supply and water supply early warning and decision adjustment under dry conditions can be realized, the operability of reservoir group joint water supply scheduling under dry conditions is improved, decision makers such as urban emergency management departments and reservoir management units are provided with technical support for fully utilizing water resources and improving the water supply guarantee degree in the dry season. The application can provide a targeted solution for dry-year emergency water supply scheduling early warning and scheme calculation, and improve the urban water supply guarantee capacity.

Description

Technical Field

[0001] The present invention relates to the interdisciplinary technical field of new-generation information technology and reservoir water supply scheduling, and in particular to a dry year emergency water supply scheduling calculation method and system based on digital twins. Background Art

[0002] Water supply is the lifeline of urban development. As the scale of cities grows, water shortages may occur under the old water supply network due to unreasonable scheduling. At the same time, extreme droughts leading to reduced water inflow may also have an impact on urban water supply security. It is necessary to conduct a scientific and reasonable analysis of emergency water supply scheduling.

[0003] With the development of urban water supply scheduling technology, many scholars have proposed calculation methods for emergency water supply scheduling. For example, a university's "Study on Joint Optimal Scheduling of Water Supply for Inter-basin Reservoir Groups" considered the use of runoff information to improve scheduling diagrams, based on which research was conducted on joint optimal scheduling of water supply for inter-basin reservoir groups, and the effectiveness of the improved water supply optimization was tested. A study of emergency water supply plans in the western part of a city proposed an emergency water supply plan that increases supplementary water sources in response to the dry years faced after the completion of the water resources allocation project and its supporting projects. A preliminary exploration of the emergency water supply scheduling operation plan for a reservoir proposed an emergency water supply priority under dry conditions and calculated the maximum annual emergency water supply capacity of the reservoir using the long series variable water use calendar.

[0004] These studies offer some guidance for practical water supply scheduling, but they also have limitations. For one thing, emergency water supply scheduling based on optimization algorithms often focuses on specific conditions and lacks universal early warning criteria. Furthermore, effective early warning methods and scheduling calculations are still lacking for real-time emergency water supply analysis across multiple water sources, reservoirs, and water supply targets. Summary of the Invention

[0005] The present invention aims to overcome the existing technical problems by proposing a method and system for calculating emergency water supply scheduling in dry years based on digital twins. This method can meet the requirements of determining the emergency water supply scheduling mode for a group of reservoirs in real-time scheduling. This invention can solve the technical problem of the existing emergency water supply scheduling process lacking effective early warning means and scheduling calculation methods.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention designs a calculation method for emergency water supply scheduling in dry years based on digital twins, which includes the following steps:

[0008] Obtain the network topology of the water supply network based on the digital twin system;

[0009] Read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base;

[0010] Optimize the scheduling calculation for the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions;

[0011] Based on the water supply process, the water demand distribution ratio of the water supply objects in each reservoir is calculated, and the emergency water supply control line of each reservoir is calculated and stored in the data base;

[0012] Based on the digital twin system, the current water level and forecast water inflow of each reservoir are obtained, as well as the water demand of each water supply object. Based on the statistical distribution ratio of the water demand of the water supply object in each reservoir, the reservoir scheduling process is calculated;

[0013] With reference to the emergency water supply line, the results are displayed on the interactive interface of the digital twin system, early warnings are issued for reservoirs below the emergency water supply control line, and the scheduling process is adjusted.

[0014] As a preferred solution, the network topology of the water supply network is obtained based on the digital twin system, specifically:

[0015] Obtain water conservancy objects and their water supply relationships from the digital twin system;

[0016] Including water source reservoirs:

[0017] ;

[0018] Water supply objects:

[0019] ;

[0020] The water supply relationship is expressed by the water supply flow of each reservoir to each water supply object:

[0021] ;

[0022] Indicates water source reservoir For water supply objects The water supply flow rate for water supply, when the water source reservoir For water supply objects When there is no hydraulic connection or water is not supplied, it is indicated by ;

[0023] The basic design data of each water source reservoir is obtained from the digital twin system, including characteristic parameters such as normal water storage level, flood limit water level, and dead water level, as well as characteristic curve data such as water level storage capacity curve and discharge capacity curve.

[0024] As a preferred solution, the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object are read from the data base, specifically:

[0025] Read the water supply network constraints from the data base, including:

[0026] Reservoir water level constraints:

[0027] ;

[0028] For the i Reservoirs in t The lowest water level allowed during the period, For the i Reservoirs in t The maximum water level allowed during the time period;

[0029] Water supply flow constraints:

[0030] ;

[0031] For reservoirs i For water supply objects j The minimum water flow rate of the water supply pipeline, For reservoirs i For water supply objects j The maximum water supply capacity of the water supply pipeline;

[0032] Read the long series of water inflow data of each reservoir from the data base , Reservoir i In the period t Inflow flow within the reservoir; read the design level annual water demand data of the water supply object , Indicates water supply object j During the design level year p Water demand within.

[0033] As a preferred solution, the optimized scheduling calculation is performed on the water supply network to obtain the water supply process of the reservoir under a long series of water inflow conditions, specifically:

[0034] Based on the acquired water supply network relationship, water supply constraints, reservoir water inflow data, and water demand data of water supply objects, a water supply optimization scheduling model is constructed;

[0035] Set the optimization goal of the water supply optimization scheduling model, which can be a single goal or a combination of multiple goals: minimum total water shortage, minimum water shortage in a single period, and maximum water supply guarantee rate;

[0036] The water supply optimization scheduling model is used to optimize and solve the water supply process of each reservoir. , Reservoir i exist t Water supply objects during the period j water supply flow.

[0037] As a preferred solution, the distribution ratio of water demand of water supply objects in each reservoir based on the water supply process statistics is specifically as follows:

[0038] According to the long series water supply process of the reservoir , calculate the average total outflow of each reservoir in each period during the water supply year,

[0039] ;

[0040] p It is the serial number of the time period within the water supply year. k is the sequence number of the water supply year included in the long series process, Reservoir i In the long series k The first water supply year p ( ) time period, the water supply flow to water supply object j, represents the kth water supply year of reservoir i in the long series p The discharge flow rate in each period;

[0041] Statistical analysis of the proportion of water supply objects allocated to each reservoir. The statistical method is to use the i For water supply objects j The annual average water supply is a percentage of the annual water demand of the water supply object, and the formula is as follows:

[0042] ;

[0043] For water supply j of water demand is allocated to the reservoir i The proportion of water supply.

[0044] Furthermore, the calculation of the emergency water supply control line of each reservoir is specifically as follows:

[0045] Based on the long series of water inflow data, the water inflow of the water supply year is subjected to hydrological frequency sorting, and the water inflow flow of each period of the water supply year under the condition of 95% frequency dry year is extracted. , Reservoir i Under the condition of 95% frequency dry year, the first p Inbound flow in each period;

[0046] Taking the end of the water supply period as the starting point, the water level at the end of the water supply period is set as the dead water level. Y From the beginning of each period, reversely calculate the initial storage capacity of each period.

[0047] ;

[0048] in For reservoirs i During the water supply period p The initial storage capacity, For reservoirs i During the water supply period p+1 The initial storage capacity, is the storage capacity corresponding to the dead water level of reservoir i, For reservoirs i Under the condition of 95% frequency dry year, the first p The inbound flow in each period, For reservoirs i During the water supply year p Average total outbound flow during the period;

[0049] According to the initial storage capacity of each period Check the water level and storage capacity curves of each reservoir to obtain the corresponding water level , then the reservoir i The initial water level at each time period during the water supply period is the reservoir i Emergency water supply control line;

[0050] Store the emergency water supply control line in the database.

[0051] As a preferred solution, the digital twin system is used to obtain the current water level of each reservoir and the forecast water inflow, and to obtain the water demand of each water supply object, specifically:

[0052] Obtain the current water level of each reservoir, the water inflow forecast for each future period, and the water demand of each water supply object for each future period;

[0053] Based on the statistical distribution of water demand in each reservoir, the water level process of each reservoir in the future is calculated according to the water balance formula and water level storage capacity curve.

[0054] As a preferred solution, the emergency water supply line is referenced, the results are displayed on the interactive interface of the digital twin system, early warning is issued for reservoirs below the emergency water supply control line, and the scheduling process is adjusted, specifically:

[0055] The results are displayed on the interactive interface of the digital twin system, including data on the future inflow and outflow processes of each reservoir, water level processes, and emergency water supply control lines;

[0056] Determine the water level of each reservoir at each time period. When the water level is lower than the emergency water supply control line, an alarm will be issued on the digital twin system interface.

[0057] For reservoirs that have issued alarms, the water supply flow rate in the specified period is adjusted through manual interaction to correct the water supply plan.

[0058] The present invention also designs a dry year emergency water supply scheduling calculation system based on digital twin, which includes the following modules:

[0059] Water supply network structure acquisition module, used to obtain the network topology of the water supply network based on the digital twin system;

[0060] The data reading module is used to read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base;

[0061] The water supply process acquisition module is used to perform optimization scheduling calculations on the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions;

[0062] The emergency water supply line calculation module is used to calculate the distribution ratio of water demand of water supply objects in each reservoir based on the water supply process, calculate the emergency water supply control line of each reservoir, and store it in the data base;

[0063] The scheduling process calculation module is used to obtain the current water level and forecast water inflow of each reservoir based on the digital twin system, and at the same time obtain the water demand of each water supply object. Based on the statistical distribution ratio of the water demand of the water supply object in each reservoir, the reservoir scheduling process is calculated;

[0064] The scheduling process adjustment module is used to refer to the emergency water supply line, display the results on the interactive interface of the digital twin system, issue early warnings for reservoirs below the emergency water supply control line, and adjust the scheduling process.

[0065] Beneficial effects of the present invention:

[0066] Compared with the prior art, the beneficial technical effects of the present invention using the above technical solution are as follows:

[0067] 1. Based on the rules summarized by the optimization algorithm, this invention proposes an emergency water supply control line, which provides a reference indicator for emergency water supply early warning.

[0068] 2. This invention provides a complete decision-making process for emergency water supply scheduling in dry years in the digital twin system, realizing water supply early warning and plan modification for the reservoir group under forecast water inflow conditions.

[0069] 3. This invention displays the decision results in real time in the digital twin system, providing specific visual perception and helping decision makers understand key information.

[0070] 4. The method described in this invention, based on a digital twin system and employing an optimized water supply scheduling model, combines real-time water storage conditions with forecasted water inflow and demand. This allows for optimal water distribution across a reservoir cluster, as well as water supply early warning and decision-making adjustments during dry seasons. This improves the operability of joint water supply scheduling across a reservoir cluster during dry seasons, and provides technical support for decision-makers such as urban emergency management departments and reservoir management units to fully utilize water resources and enhance water supply security during the dry season.

[0071] Therefore, the present invention can solve the technical problem that the existing emergency water supply scheduling process lacks effective early warning means and scheduling calculation methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 Flowchart of the present invention.

[0073] Figure 2 This is a schematic diagram of the KM water supply network structure of the present invention. DETAILED DESCRIPTION

[0074] The following detailed description of the embodiments of the present invention is given in conjunction with the accompanying drawings, which do not limit the present invention but are merely examples. The description makes the advantages of the present invention clearer and easier to understand.

[0075] Urban water supply is crucial for urban development and residents' well-being. However, with the increasing frequency of extreme droughts, urban water supplies are facing threats. Reservoirs are crucial for urban water supply. Optimizing the utilization of existing reservoir infrastructure and fully tapping the potential of water resources is a key research priority for ensuring urban water supply. Digital twin water network development is currently underway. With advances in forecasting water inflow and computing power, targeted solutions can be developed for emergency water supply scheduling, early warning, and solution calculation during dry seasons, enhancing urban water supply security.

[0076] The present invention utilizes the urban reservoir water supply network, combines long-term water inflow and designed horizontal annual water demand, and calculates the optimal water supply process through an optimized scheduling model. On this basis, it summarizes and analyzes the scheduling rules and proposes an emergency water supply control line as a reference for reservoir water supply scheduling. Based on real-time water storage conditions and forecast water inflow and demand data, combined with optimized water supply scheduling rules, the reservoir water supply process is calculated and compared with the emergency water supply control line. When it is lower than the emergency water supply control line, an early warning is issued for water supply scheduling. Manual interaction is used to correct the scheduling process to improve the degree of water supply security. Therefore, the present invention can solve the technical problem of the existing emergency water supply scheduling process lacking effective early warning means and scheduling calculation methods.

[0077] According to the above-mentioned inventive concept, the present invention provides a dry year emergency water supply scheduling calculation method based on digital twins. A complete dry year emergency water supply scheduling calculation process is specifically implemented according to the following steps (1) to (6);

[0078] (1) Obtaining the water supply network topology based on the digital twin system;

[0079] (2) Read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base;

[0080] (3) Optimize the scheduling calculation for the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions;

[0081] (4) Based on the water supply process, the water demand distribution ratio of the water supply objects in each reservoir is calculated, and the emergency water supply control line of each reservoir is calculated and stored in the data base in Json format;

[0082] ‌JSON (JavaScript Object Notation) is a lightweight data exchange format that is easy for humans to read and write, and also easy for machines to parse and generate‌.

[0083] (5) Based on the digital twin system, the current water level and forecast water inflow of each reservoir are obtained, the water demand of each water supply object is obtained, and the reservoir scheduling process is calculated based on the statistical distribution ratio of the water demand of the water supply object in each reservoir;

[0084] (6) With reference to the emergency water supply line, early warning will be issued for reservoirs below the emergency water supply control line, the results will be displayed on the interactive interface of the digital twin system, and manual interactive scheduling adjustments will be made.

[0085] The step (1) specifically includes:

[0086] (1.1) Obtain water conservancy objects and their water supply relationships from the digital twin system.

[0087] Including water source reservoirs:

[0088] ;

[0089] Water supply objects:

[0090] ;

[0091] The water supply relationship is expressed by the water supply flow of each reservoir to each water supply object:

[0092] ;

[0093] Reservoir For water supply objects The water supply flow rate is used when the reservoir For water supply objects When there is no hydraulic connection or water is not supplied, it is indicated by .

[0094] (1.2) Obtain basic design data of each reservoir from the digital twin system, including characteristic parameters such as normal water storage level, flood limit water level, dead water level, as well as characteristic curve data such as water level storage capacity curve and discharge capacity curve.

[0095] The step (2) specifically includes:

[0096] (2.1) Read the constraints of the water supply network from the data base, including:

[0097] Reservoir water level constraints:

[0098] ;

[0099] For the i Reservoirs in t The lowest water level allowed during the period, For the i Reservoirs in t The maximum water level allowed during the time period;

[0100] Water supply flow constraints:

[0101] ;

[0102] For reservoirs i For water supply objects j The minimum water flow rate of the water supply pipeline, For reservoirs i For water supply objects j The maximum water supply capacity of the water supply pipeline;

[0103] (2.2) Read the long series of water inflow data of each reservoir from the data base , indicating a reservoir i In the period t Inflow flow within the reservoir; read the design level annual water demand data of the water supply object , indicating the water supply object j During the design level year p Water demand within

[0104] The step (3) specifically includes:

[0105] (3.1) Based on the water supply network relationship, water supply constraints, reservoir water inflow data, and water demand data of water supply objects obtained in steps (1) and (2), a water supply optimization scheduling model is constructed; the water supply optimization scheduling model can be used to find the optimization process of the reservoir and belongs to the existing technology.

[0106] (3.2) Setting the optimization objective of the optimization scheduling model, which can be set as a single objective such as minimizing the total water shortage, minimizing the water shortage in a single period, maximizing the water supply guarantee rate, or a combination of multiple objectives;

[0107] (3.3) Use the optimization scheduling model to optimize and solve the water supply process of each reservoir , indicating a reservoir i exist t Water supply objects during the period j water supply flow.

[0108] The step (4) specifically includes:

[0109] (4.1) According to the long series of water supply process of the reservoir , calculate the average total outflow of each reservoir in each period during the water supply year,

[0110] ;

[0111] p It is the serial number of the time period within the water supply year. k is the sequence number of the water supply year included in the long series process, Reservoir i In the long series k The first water supply year p ( ) time periods for water supply objects j The water supply flow rate, Reservoir i In the long series k The first water supply year p The discharge flow rate during a period of time.

[0112] (4.2) Calculate the proportion of water demand of each water supply object in each reservoir. The calculation method is: i For water supply objects j The annual average water supply is a percentage of the annual water demand of the water supply object, and the formula is as follows:

[0113] ;

[0114] For water supply j of water demand is allocated to the reservoir i The proportion of water supply.

[0115] (4.3) Based on the long series data, the water supply annual water flow is subjected to hydrological frequency analysis, and the water flow rate at each period of the water supply year under the condition of 95% frequency dry year is extracted. , indicating a reservoir i Under the condition of 95% frequency dry year, the first p Inbound flow in each period;

[0116] (4.4) Taking the end of the water supply period as the starting point, set the water level at the end of the water supply period as the dead water level. Y From the beginning of each period, reversely calculate the initial storage capacity of each period.

[0117] ;

[0118] in For reservoirs i During the water supply period p The initial storage capacity, For reservoirs i During the water supply period p+1 The initial storage capacity, is the storage capacity corresponding to the dead water level of reservoir i, For reservoirs i Under the condition of 95% frequency dry year, the first p The inbound flow in each period, For reservoirs i During the water supply year p The average total outbound flow during the time period.

[0119] (4.5) According to , check the water level and storage capacity curves of each reservoir to obtain the corresponding water level , then the initial water level of reservoir i in each period of the water supply period is the emergency water supply control line of reservoir i.

[0120] (4.6) Store the emergency water supply control line in the database in Json format.

[0121] Said step (5) specifically comprises:

[0122] (5.1) Get the current water level of each reservoir , water inflow forecast for each period in the future , water demand of each water supply object in each period in the future ;

[0123] (5.2) Based on the distribution of water demand among reservoirs, calculate the future water level of each reservoir using the water balance formula and water level and storage capacity curves. These formulas are state-of-the-art and are both common and basic formulas in the water industry.

[0124] Said step (6) specifically comprises:

[0125] (6.1) The results are displayed on the interactive interface of the digital twin system, including data such as the future inflow process, outflow process, water level process, and emergency water supply control line of each reservoir.

[0126] (6.2) Determine the water level of each reservoir at each time period. When the water level is lower than the emergency water supply control line, an alarm will be issued on the digital twin system interface.

[0127] (6.3) For reservoirs that have issued an alarm, the water supply flow rate during the specified period can be adjusted through manual interaction to correct the water supply plan.

[0128] It should be understood that the specific order or hierarchy of steps in the processes disclosed herein are examples of exemplary methods. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy described.

[0129] The present invention also provides a dry year emergency water supply scheduling calculation system based on digital twin, which includes the following modules:

[0130] Water supply network structure acquisition module, used to obtain the network topology of the water supply network based on the digital twin system;

[0131] The data reading module is used to read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base;

[0132] The water supply process acquisition module is used to perform optimization scheduling calculations on the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions;

[0133] The emergency water supply line calculation module is used to calculate the distribution ratio of water demand of water supply objects in each reservoir based on the water supply process, calculate the emergency water supply control line of each reservoir, and store it in the data base;

[0134] The scheduling process calculation module is used to obtain the current water level and forecast water inflow of each reservoir based on the digital twin system, and at the same time obtain the water demand of each water supply object. Based on the statistical distribution ratio of the water demand of the water supply object in each reservoir, the reservoir scheduling process is calculated;

[0135] The scheduling process adjustment module is used to refer to the emergency water supply line, display the results on the interactive interface of the digital twin system, issue early warnings for reservoirs below the emergency water supply control line, and adjust the scheduling process.

[0136] Taking the KM emergency water supply dispatch of a large city as an example, emergency water supply dispatch based on the digital twin system includes the following steps:

[0137] Step 1: Based on the digital twin system, the water supply network topology is obtained. There are four main water source reservoirs in the urban area of ​​KM City, namely YL, SHB, QSH and DZ. There are two water supply areas in the urban area, namely ZCPQ and QSHPQ. The hydraulic connection between each reservoir and each water supply area is shown in the attached figure. Figure 2 Obtain basic design data of each reservoir, including characteristic parameters such as normal water level, flood limit water level, dead water level, as well as characteristic curve data such as water level storage capacity curve and discharge capacity curve;

[0138] Step 2: Read the constraints, incoming water data, and demand water data of the water supply network.

[0139] The constraints are as follows:

[0140] YL reservoir water level constraints , constraining ZCPQ water supply capacity ; SHB reservoir water level constraints , constraining ZCPQ water supply capacity ;QSH reservoir water level constraints , constraining ZCPQ water supply capacity , constraining QSHPQ water supply capacity ;

[0141] Read the water inflow data of each reservoir from July 1956 to June 2022, in 10,000 m 3 , the scale is monthly. The long series of water inflow data for YL reservoir is {3662, 5601, …}, the long series of water inflow data for SHB reservoir is {4794, 3830, …}, and the long series of water inflow data for QSH reservoir is {3036, 2306, …};

[0142] Read the water demand data of each month in the design level year of the water supply area, in units of 10,000 m 3 The water demand data of ZCPQ is {3764,3854,…}, and the water demand data of QSHPQ is {1121,1001,…};

[0143] Step 3: Optimize the scheduling calculation for the water supply network to obtain the water supply process of the reservoir.

[0144] The algorithm uses a linear programming algorithm. The optimization goal is set as a combination of minimizing the total water shortage of each water supply object, maximizing the water supply guarantee rate, and minimizing the water shortage in a single month. The hierarchical sequence method is used for solution.

[0145] The water supply process of YL reservoir to ZCPQ is {1940,1938,…}, the water supply process of SHB reservoir to ZCPQ is {1531,1723,…}, the water supply process of QSH reservoir to ZCPQ is {0,0,…,0}, and the water supply process to QSHPQ is {1159,1112,…}.

[0146] Step 4: Based on the statistics of the water supply process, the water supply distribution ratio is obtained. Under the design level year conditions, 51% of the ZCPQ water demand is met by the YL reservoir and 49% by the SHB reservoir; 100% of the QSHPQ water demand is met by the QSH reservoir. When the water supply is insufficient, measures such as water demand reduction or water diversion from external sources should be considered.

[0147] Using long-term data, we determined the water inflow process for each reservoir during a 95% dry year. Based on each reservoir's design annual water demand, we calculated the emergency water supply control line, starting from the dead water level at the end of the supply period. From July to December of the current year and January to June of the following year, the YL emergency water supply control line level sequence was {2070.9, 2070.6, ...}; the SHB emergency water supply control line level sequence was {1956.7, 1956.7, ...}; and the QSH emergency water supply control line level sequence was {2171.1, 2070.0, ...}.

[0148] The above-mentioned emergency water supply control line is stored in the digital twin system data baseboard.

[0149] Step 5: Taking November 1, 2023 as an example, obtain the current water level and forecast water inflow of each reservoir from the digital twin system, obtain the water demand of each water supply object, and calculate the reservoir scheduling process based on the statistical water demand allocation ratio.

[0150] The real-time water level of YL reservoir is 2072.95m, the real-time water level of SHB reservoir is 1959.20, and the real-time water level of QSH reservoir is 2165.66.

[0151] Obtain the forecast water inflow data for each reservoir from November 2023 to June 2024. The forecast water inflow for YL Reservoir is {1100, 500, …}, the forecast water inflow for SHB Reservoir is {1049, 650, …}, the forecast water inflow for QSH Reservoir is {420, 410, …}, and the forecast water inflow for DZ Reservoir is {2913, 3754, …}.

[0152] The water demand of ZCPQ is {3300, 3410, …}, and the water demand of QSHPQ is {1050, 1085, …}. According to the water supply allocation ratio, the water supply required by YL Reservoir to meet ZCPQ is {1683, 1739.1, …}, and no water is supplied to QSHPQ; the water supply required by SHB Reservoir to meet ZCPQ is {1155, 1193.5, …}, and no water is supplied to QSHPQ; QSH Reservoir does not supply water to ZCPQ, and the water supply required to meet QSHPQ is {808.5, 835.45, …};

[0153] Based on the water inflow, water demand, and real-time water level of each reservoir, the reservoir scheduling process is calculated as follows: the water level process of the YL reservoir at the end of each month from November 2023 to June 2024 is {2072.1, 2070.8, …}, the water level process of the SHB reservoir at the end of each month is {1958.6, 1957.1, …}, and the water level process of the QSH reservoir at the end of each month is {2165.6, 2165.9, …}.

[0154] Step 6: Read the emergency water supply control line from the system data, compare the water level process of each reservoir with the emergency water supply control line, and find that the water level of YL and SHB reservoirs fell below the emergency water supply control line in January 2024, and the water level of QSH fell below the emergency water supply control line in November 2023. Based on this, a water supply shortage alarm is issued on the system.

[0155] In the interactive interface, according to relevant water supply regulations, reduce water demand for ZCPQ and QSHPQ, reducing some industrial water use and some domestic water use during certain periods. Repeat steps 5 and 6 until the reservoir water level is above the emergency water supply control line to ensure the subsequent urban water supply security. If water demand cannot be met after the water demand reduction, external water source diversion and other security measures can be implemented.

Claims

1. A calculation method for emergency water supply scheduling in dry years based on digital twins, characterized in that: The following steps are involved: Obtain the network topology of the water supply network based on the digital twin system; Read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base; Optimize the scheduling calculation for the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions; Based on the water supply process, the water demand distribution ratio of the water supply objects in each reservoir is calculated, and the emergency water supply control line of each reservoir is calculated and stored in the data base; Statistical analysis of the proportion of water supply objects allocated to each reservoir. The statistical method is to use the i For water supply objects j The annual average water supply is a percentage of the annual water demand of the water supply object, and the formula is as follows: ； For water supply j of water demand is allocated to the reservoir i proportion of water supply; k is the sequence number of the water supply year included in the long series process, K is the number of water supply years included in the long series process, It is the serial number of the time period within the water supply year. P is the number of time periods within the water supply year, Reservoir i In the long series k The first water supply year The water supply flow rate for water supply object j in each period, Indicates water supply object j During the design level year Water demand within Calculate the emergency water supply control line of each reservoir as follows: Based on the long series of water inflow data, the annual water supply volume is subjected to hydrological frequency sorting, and the water flow rate at each period of the water supply year under the condition of 95% frequency dry year is extracted. Reservoir i Under the condition of 95% frequency dry year, the first Inbound flow in each period; Taking the end of the water supply period as the starting point, setting the water level at the end of the water supply period as the dead water level, reversely deduce the initial storage capacity of each period, and check the water level and storage capacity curve of each reservoir according to the initial storage capacity of each period to obtain the corresponding water level, then the reservoir i The initial water level at each time period during the water supply period is the reservoir i Emergency water supply control line; Store the emergency water supply control line in the database; Based on the digital twin system, the current water level and forecast water inflow of each reservoir are obtained, and the water demand of each water supply object is obtained. Based on the statistical distribution ratio of the water demand of the water supply object in each reservoir, the reservoir scheduling process is calculated to obtain the water level process of each reservoir; With reference to the emergency water supply line, the results are displayed on the interactive interface of the digital twin system, early warnings are issued for reservoirs below the emergency water supply control line, and the scheduling process is adjusted until the water levels of all reservoirs are above the emergency water supply control line to ensure the subsequent urban water supply safety.

2. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: The network topology structure of the water supply network is obtained based on the digital twin system, specifically: Obtain water conservancy objects and their water supply relationships from the digital twin system; Including water source reservoirs: ； Water supply objects: ； The water supply relationship is expressed by the water supply flow of each reservoir to each water supply object: ； Indicates water source reservoir For water supply objects The water supply flow rate for water supply, when the water source reservoir For water supply objects When no water is supplied, ; The basic design data of each water source reservoir is obtained from the digital twin system, including characteristic parameters such as normal water storage level, flood limit water level, and dead water level, as well as characteristic curve data such as water level storage capacity curve and discharge capacity curve.

3. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: The constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object are read from the data base, specifically: Read the water supply network constraints from the data base, including: Reservoir water level constraints: ； For the i Reservoirs in t The lowest water level allowed during the period, For the i Reservoirs in t The maximum water level allowed during the time period; Water supply flow constraints: ； For reservoirs i For water supply objects j The minimum water flow rate of the water supply pipeline, For reservoirs i For water supply objects j The maximum water supply capacity of the water supply pipeline; Read the long series of water inflow data of each reservoir from the data base. Reservoir i In the period t Read the design level annual water demand data of the water supply object, Indicates water supply object j During the design level year p Water demand within.

4. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: The optimized scheduling calculation for the water supply network is performed to obtain the water supply process of the reservoir under a long series of water inflow conditions, specifically: Based on the acquired water supply network relationship, water supply constraints, reservoir water inflow data, and water demand data of water supply objects, a water supply optimization scheduling model is constructed; Set the optimization goal of the water supply optimization scheduling model, which can be a single goal or a combination of multiple goals: minimum total water shortage, minimum water shortage in a single period, and maximum water supply guarantee rate; The water supply optimization scheduling model is used to optimize and solve the water supply process of each reservoir. Reservoir i exist t Water supply objects during the period j water supply flow.

5. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: According to the long series of water supply process of each reservoir, the average total outflow of each reservoir in each period of the water supply year is calculated. ； It is the serial number of the time period within the water supply year. k is the sequence number of the water supply year included in the long series process, m is the total number of water supply objects, Reservoir i In the long series k The first water supply year The water supply flow rate for water supply object j in each period, represents the kth water supply year of reservoir i in the long series The discharge flow rate during a period of time.

6. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 5 is characterized in that: Taking the end of the water supply period as the starting point, the water level at the end of the water supply period is set as the dead water level. Y From the beginning of each period, reversely calculate the initial storage capacity of each period. ； in For reservoirs i During the water supply period The initial storage capacity, For reservoirs i During the water supply period The initial storage capacity, is the storage capacity corresponding to the dead water level of reservoir i, For reservoirs i Under the condition of 95% frequency dry year, the first The inbound flow in each period, For reservoirs i During the water supply year The average total outbound flow during the time period.

7. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: The digital twin system is used to obtain the current water level of each reservoir and the forecasted water inflow, and to obtain the water demand of each water supply object, specifically: Obtain the current water level of each reservoir, the water inflow forecast for each future period, and the water demand of each water supply object for each future period; Based on the statistical distribution of water demand in each reservoir, the water level process of each reservoir in the future is calculated according to the water balance formula and water level storage capacity curve.

8. The dry year emergency water supply scheduling calculation method based on digital twin according to claim 1 is characterized in that: The results are displayed on the interactive interface of the digital twin system with reference to the emergency water supply line, warnings are issued for reservoirs below the emergency water supply control line, and adjustments are made to the scheduling process, specifically: The results are displayed on the interactive interface of the digital twin system, including data on the future inflow and outflow processes of each reservoir, water level processes, and emergency water supply control lines; Determine the water level of each reservoir at each time period. When the water level is lower than the emergency water supply control line, an alarm will be issued on the digital twin system interface. For reservoirs that have issued alarms, the water supply flow rate in the specified period is adjusted through manual interaction to correct the water supply plan.

9. A dry year emergency water supply scheduling calculation system based on digital twin, characterized by: Includes the following modules, Water supply network structure acquisition module, used to obtain the network topology of the water supply network based on the digital twin system; The data reading module is used to read the constraints of the water supply network, the long series of water inflow data of the water source reservoir, and the design level annual water demand data of the water supply object from the data base; The water supply process acquisition module is used to perform optimization scheduling calculations on the water supply network and obtain the water supply process of the reservoir under a long series of water inflow conditions; The emergency water supply line calculation module is used to calculate the distribution ratio of water demand of water supply objects in each reservoir based on the water supply process, calculate the emergency water supply control line of each reservoir, and store it in the data base; Statistical analysis of the proportion of water supply objects allocated to each reservoir. The statistical method is to use the i For water supply objects j The annual average water supply is a percentage of the annual water demand of the water supply object, and the formula is as follows: ； For water supply j of water demand is allocated to the reservoir i proportion of water supply; k is the sequence number of the water supply year included in the long series process, K is the number of water supply years included in the long series process, It is the serial number of the time period within the water supply year. P is the number of time periods within the water supply year, Reservoir i In the long series k The first water supply year The water supply flow rate for water supply object j in each period, Indicates water supply object j During the design level year Water demand within Calculate the emergency water supply control line of each reservoir as follows: Based on the long series of water inflow data, the annual water supply volume is subjected to hydrological frequency sorting, and the water flow rate at each period of the water supply year under the condition of 95% frequency dry year is extracted. Reservoir i Under the condition of 95% frequency dry year, the first Inbound flow in each period; Taking the end of the water supply period as the starting point, setting the water level at the end of the water supply period as the dead water level, reversely deduce the initial storage capacity of each period, and check the water level and storage capacity curve of each reservoir according to the initial storage capacity of each period to obtain the corresponding water level, then the reservoir i The initial water level at each time period during the water supply period is the reservoir i Emergency water supply control line; Store the emergency water supply control line in the database; The scheduling process calculation module is used to obtain the current water level and forecast water inflow of each reservoir based on the digital twin system, and at the same time obtain the water demand of each water supply object. Based on the statistical distribution ratio of the water demand of the water supply object in each reservoir, the reservoir scheduling process is calculated to obtain the water level process of each reservoir; The scheduling process adjustment module is used to refer to the emergency water supply line, display the results on the interactive interface of the digital twin system, issue early warnings for reservoirs below the emergency water supply control line, and adjust the scheduling process until the water levels of all reservoirs are above the emergency water supply control line to ensure the subsequent urban water supply safety.

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