Multi-benefit optimization dispatching method and system for urban river network water conservancy control engineering cluster

Abstract

The present invention discloses a multi-benefit optimization scheduling method and system for a cluster of urban river network water conservancy control and guidance engineering projects, and belongs to the technical field of water conservancy projects. A hydrodynamic coupling model is established using river network data and pipe network data; a number of live water scheduling plans are created to obtain a live water scheduling plan set; an engineering cluster is created, and an evaluation index system is constructed; the live water scheduling plans in the live water scheduling plan set are evaluated with the control and guidance engineering benefits as the evaluation target to select key evaluation indicators; the preferred live water scheduling plan is simulated using the hydrodynamic coupling model to obtain simulated observation data, and the evaluation result is obtained by evaluating the control and guidance engineering benefit evaluation index system based on the simulated observation data; the evaluation result determines the optimal live water plan or generates the best live water plan. On the basis of meeting the flood control function, the evaluation index system of the present invention optimizes the control and guidance engineering and pipe network layout, formulates a reasonable scheduling method, gives full play to the benefits of hydrodynamic regulation and control engineering, and improves water safety assurance capabilities.

Description

Technical Field

[0001] The present invention belongs to the technical field of water conservancy projects, and in particular, relates to a multi-benefit optimization dispatching method and a system thereof for a cluster of water conservancy control and guidance projects in an urban river network. Background Art

[0002] my country's urban river network areas have developed economies, dense populations, high urbanization rates, low-lying terrain, dense river networks, and numerous water conservancy projects. Therefore, the layout of urban river network projects has an important impact on the water resources allocation, flood control and drainage, and water ecological protection functions of the river network.

[0003] The river network is a complex water system formed by multiple interconnected rivers. It is one of the most common hydrological and geomorphological forms in nature. The hydrodynamic characteristics of the water flow in the river network, such as speed, direction, and distribution, have an important impact on the water resources, water environment, water ecology, and water disasters of the river network. Changing the spatiotemporal distribution of river network hydrodynamics through water conservancy projects or other means to achieve the goals of optimizing water resource allocation, improving water quality and quantity, protecting water ecology, and preventing and controlling water disasters is an important part of hydrodynamic regulation.

[0004] However, at present, the water source guarantee rate for urban river network replenishment is not high and the water environment carrying capacity is uneven. The reasons are analyzed as follows: in the early stage of on-site investigation, pump and sluice scheduling was mostly manually operated through empirical charts such as reservoir flood resistance capacity charts and flood control scheduling charts. Due to the limitations of human experience judgment and auxiliary tools, the scientificity and real-time nature of decision-making were poor. Summary of the invention

[0005] In response to the problems in the related technology, the present invention proposes a multi-benefit optimization scheduling method and system for a cluster of urban river network water conservancy control and guidance projects to overcome the above-mentioned technical problems existing in the existing related technology.

[0006] To this end, the specific technical solution adopted by the present invention is as follows: a multi-benefit optimization scheduling method for a cluster of urban river network water conservancy control and guidance projects, comprising the following steps:

[0007] Obtain river network data, pipe network data, hydrological and water quality data and hydrodynamic data of the urban river network, and use the river network data and pipe network data to build a river network-pipe network integration model; based on the river network-pipe network integration model, and in combination with the hydrological and water quality data and hydrodynamic data, establish a hydrodynamic-coupling model;

[0008] Based on the hydrodynamic-coupling model, a plurality of live water scheduling schemes are created to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control;

[0009] Creating an engineering cluster and constructing an evaluation index system; evaluating the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefits as the evaluation target to select key evaluation indicators; determining at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators;

[0010] Using the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and evaluating the simulated observation data using the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme;

[0011] The generated optimal live water plan is updated to the live water scheduling plan set.

[0012] In a further embodiment, the river network data is a river network data set. To express, , For the river, and The rivers The upstream starting point and downstream end point of Indicates river Other points except the upstream starting point and the downstream end point, is the flow of river section M; river r is at least one river section M;

[0013] The pipeline network data is collected by pipeline Describe, among which, , is the pipeline number, It is the confluence point of the pipeline and the river. is a node on pipeline p, is the output flow of pipeline p at the confluence point.

[0014] In a further embodiment, the construction process of the river network-pipeline network integrated model is as follows:

[0015] Traverse the river set R and perform the following steps: The X-axis coordinate value and Y-axis coordinate value corresponding to the point data are used to display the plane position relationship, combined with the river The Z-axis coordinate value corresponding to the point data reflects the flow direction of the river network and obtains a directed topological diagram of the river network;

[0016] Create a river network point set, update the displayed point data to the river network point set, and repeat this process; if duplicate points appear during the update process, select one and keep it;

[0017] Iterate over the pipeline set Perform the following steps: Based on the confluence point of the pipeline and the river Mark them on the directed topology map of the river network and update them to the river network point set according to the principle of selecting one to keep. Identify the node on the pipeline as the starting point And they are connected in sequence to form a pipe network topology diagram based on the river network.

[0018] In a further embodiment, the process of establishing the hydrodynamic coupling model is as follows:

[0019] The river r is divided according to other points Divide and obtain M river sections. If { } is an empty set, then the river section is divided according to the central section of the corresponding river r, M is an integer greater than or equal to 2; the following formula is used to express the hydrodynamics and water quality of each river section:

[0020] ;

[0021] In the formula, is the river width of section M, is the cross-sectional water level of river section M, is the flow rate of river section M, is the inflow at the river confluence, A is the cross-sectional area of ​​the river section M, is the acceleration due to gravity, is the flow modulus, t For time, x For axial direction; is the concentration of a certain water quality indicator in river section M, is the average flow velocity of the section M, For the river section M x The scatter coefficient, is the biochemical reaction term of a water quality index in river section M, is the external source and sink term of a certain water quality indicator of river section M;

[0022] The river confluence must meet the flow boundary conditions and dynamic boundary conditions, which are expressed as follows:

[0023] ;

[0024] In the formula, i For all rivers that meet at a certain confluence, For the river i of traffic, is the water storage capacity at the inlet, For the river i The cross-sectional water level, H is the water level at the confluence entrance.

[0025] In a further embodiment, the following process is also included:

[0026] If there is a pipe network connection at the river confluence, the following formula is used to calculate the gate pump parameters:

[0027] ;

[0028] In the formula, is the free flow coefficient, is the flooded outflow discharge coefficient, is the width of the gate hole, and are the water head before the gate and the water head after the gate, and They are the water level before the gate and the water level after the gate. is the output flow of pipeline p at the confluence point.

[0029] In a further embodiment, the construction process of the evaluation index system is as follows: constructing a hierarchical analysis structure, the hierarchical analysis structure comprising: a target layer, a criterion layer and an index layer;

[0030] The indicator layer is expressed in the following form: , where C represents the criterion item of the criterion layer, is the indicator item corresponding to the criterion item C;

[0031] Determine the project type and project occurrence area based on the project cluster, and assign a primary weight to the criterion item C based on the project type to obtain the criterion item weight set , ,in, Represents the weight value of the criterion item C in the criterion layer;

[0032] Taking the criterion item C as the unit, the corresponding indicator items are Assign secondary weights to obtain the indicator weight set for the criterion items , ,in, Represents the weight set of all indicator items about the criterion item C, expressed as ;

[0033] All indicators are calculated using the following formula: j The comprehensive weight of :

[0034] ; In the formula, , ;

[0035] The comprehensive weight vector of all indicators is for: , , which indicates the comprehensive number of the indicator item.

[0036] In a further embodiment, the screening process of the key influencing factors is as follows:

[0037] When assigning the first-level weight to criterion item C, the control benefit criterion is given the highest weight value in criterion item C; correspondingly, when assigning the second-level weight to the indicators used to evaluate the control benefit layer, the highest value weight in the indicator layer is given;

[0038] Based on this, the comprehensive weight vector The weight values ​​in the formula are ranked in descending order, and the factors ranked before the predetermined nouns are defined as key impact factors, and a set of key impact factors is obtained;

[0039] Determine key evaluation indicators according to the key influencing factor set, and optimize the live water scheduling plan based on the key evaluation indicators.

[0040] In a further embodiment, the process of obtaining the evaluation result is as follows:

[0041] Determine the index standards of standard items according to different execution areas to obtain the index standard set for the index items , and is defined as , where Indicator In the execution area The corresponding indicator standards and indicator calculation formulas are as follows; determine the engineering occurrence area within the engineering cluster, match the engineering occurrence area with the execution area, and Determine the appropriate indicator standards in ,in ;

[0042] Substitute the simulated observation data into the corresponding indicator calculation formula to obtain the actual score of the corresponding indicator item. ; When the following evaluation conditions are met at the same time, it means that the corresponding live water scheduling scheme is the optimal live water scheme:

[0043] The indicator standards of the key evaluation indicators are compared with the actual scores one by one. The actual score of each key evaluation indicator is higher than the corresponding indicator standard; the comprehensive actual score is higher than the given comprehensive indicator standard; wherein the comprehensive actual score is calculated using the following formula:

[0044] ;

[0045] The calculation formula of the comprehensive index standard is as follows: , .

[0046] In a further embodiment, the target layer is a live water scheduling scheme decision;

[0047] The criteria layers include: flood control benefit layer, ecological benefit layer and control benefit layer;

[0048] The indicator layers include: flood control compliance rate and waterlogging removal compliance rate for the flood control benefit layer; reasonable flow velocity threshold, ecological flow / water level satisfaction degree, and water quality quality for the ecological benefit layer; and reasonable water diversion compliance rate, equipment operation degree, economic benefits, and social benefits for the control and guidance benefit layer.

[0049] The multi-benefit optimization dispatching system of the urban river network water conservancy control and guidance engineering cluster is used to implement the multi-benefit optimization dispatching method of the water conservancy control and guidance engineering cluster as described above, including:

[0050] The first module is configured to obtain river network data, pipe network data, hydrological and water quality data and hydrodynamic data of the urban river network, and use the river network data and pipe network data to build a river network-pipe network integrated model; based on the river network-pipe network integrated model, and in combination with the hydrological and water quality data and hydrodynamic data, a hydrodynamic-coupling model is established;

[0051] The second module is configured to create a plurality of live water scheduling schemes based on the hydrodynamic-coupling model to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control;

[0052] The third module is configured to create an engineering cluster and construct an evaluation index system; evaluate the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefits as the evaluation target to select key evaluation indicators; determine at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators;

[0053] The fourth module is configured to use the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and to evaluate the simulated observation data using the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme;

[0054] The fifth module is configured to update the generated optimal live water plan to the live water scheduling plan set.

[0055] Beneficial effects of the present invention: The present invention firstly selects a relatively simple modeling form for data processing, and couples the river network with the pipe network for simulation, which not only improves the data processing efficiency but also increases the unique correlation expression between the river network and the pipe network, which is convenient for later data management and analysis of live water scheduling schemes.

[0056] The evaluation index system evaluation method of the present invention is complete, model-based, systematic and complex, which conforms to the current situation where the project research is gradually refined, the research indicators are gradually increasing, and the research method is gradually transforming from single indicator evaluation to multi-system evaluation. On the basis of meeting the flood control function, the control and guidance engineering and pipeline network layout are optimized, a reasonable scheduling method is formulated, the benefits of hydrodynamic control engineering are fully utilized, and the water safety guarantee capability is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a flow chart of the multi-benefit optimization scheduling method for urban river network water conservancy control and guidance project clusters.

[0058] Figure 2 This is the architecture diagram of the evaluation index system. DETAILED DESCRIPTION

[0059] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments. They can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention.

[0060] Example 1

[0061] According to an embodiment of the present invention, Figure 1 The multi-benefit optimization scheduling method of the urban river network water conservancy control and guidance project cluster is provided, including the following steps:

[0062] Obtain river network data, pipe network data, hydrological and water quality data and hydrodynamic data of the urban river network, and use the river network data and pipe network data to build a river network-pipe network integration model; based on the river network-pipe network integration model, and in combination with the hydrological and water quality data and hydrodynamic data, establish a hydrodynamic-coupling model;

[0063] Based on the hydrodynamic-coupling model, a plurality of live water scheduling schemes are created to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control;

[0064] Creating an engineering cluster and constructing an evaluation index system; evaluating the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefits as the evaluation target to select key evaluation indicators; determining at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators;

[0065] Using the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and evaluating the simulated observation data using the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme;

[0066] The generated optimal live water plan is updated to the live water scheduling plan set.

[0067] Generally, river network data includes geometric information of the river network (such as location, length, width and depth, etc.), geomorphic information (such as mountains, plains, hills, etc.), and flow direction and catchment area (such as the flow direction of the river and its changes, and the geographical area of ​​the river catchment). Therefore, if a river network model needs to be established, at least the above data needs to be collected, but the amount of the above data is relatively large and the data structure is different, so the workload is large and the efficiency is low when processing.

[0068] Therefore, in this embodiment, in order to improve efficiency and not affect the accuracy of the river network, the river network data is used as a river set. In which, , For the river, and The rivers The upstream starting point and downstream end point of Indicates river Other points except the upstream starting point and the downstream end point, is the flow of river section M; river r is at least one river section M. It should be noted that if there is no confluence or intersection on river r, then Is an empty set.

[0069] In other words, the embodiment needs to collect key points and coordinates of key points according to the river to realize the embodiment of geometric information, topographic information, flow direction and catchment area. For example, the Z-axis value of the three-dimensional coordinate can determine the upstream, downstream, and the flow direction and altitude of the river. The length, width and other information can be directly obtained by the distance between points. The workload of collecting basic information and the workload of data preprocessing are reduced, and data collection is uniformly located on the river section.

[0070] Correspondingly, the data collection method of this embodiment is also applicable to the collection of pipe network data, and the pipe network data is collected by pipeline. Describe, among which, , is the pipeline number, It is the confluence point of the pipeline and the river. is a node on pipeline p, is the output flow of pipeline p at the confluence point. It is worth mentioning that if there is no node on pipeline p, then Is an empty set.

[0071] Through the collection of pipeline network data, the connection relationship between the pipeline network and the river network, as well as the flow of intersection processing, is determined, which facilitates the specification of appropriate drainage pattern, pipeline network layout and flow control.

[0072] In summary, all data in this embodiment are obtained at key points, so the data format or structure is relatively simple, which is convenient for data processing and classification. At the same time, other relevant data information can be obtained based on key points, which effectively reduces system memory. The specific performance is that the construction process of the river network-pipeline network integrated model is as follows: traverse the river set R and perform the following steps: based on the river The X-axis coordinate value and Y-axis coordinate value corresponding to the point data are used to display the plane position relationship, combined with the river The Z-axis coordinate value corresponding to the point data reflects the flow direction of the river network and obtains a directed topological diagram of the river network;

[0073] Create a river network point set, update the displayed point data to the river network point set, and repeat this process; if duplicate points appear during the update process, select one to keep; if two sections of the river have the same confluence, the confluence will exist in the point set representation of the two sections of the river, and one of them will be kept when drawing the river network.

[0074] Iterate over the pipeline set Perform the following steps: Based on the confluence point of the pipeline and the river Mark them on the directed topology map of the river network and update them to the river network point set according to the principle of selecting one to keep. Identify the node on the pipeline as the starting point And they are connected in sequence to form a pipe network topology diagram based on the river network.

[0075] Furthermore, the establishment process of the hydrodynamic coupling model is as follows:

[0076] The river r is divided according to other points Divide and obtain M river sections. If { } is an empty set, then the river section is divided according to the central section of the corresponding river r, M is an integer greater than or equal to 2; the following formula is used to express the hydrodynamics and water quality of each river section:

[0077] ;

[0078] In the formula, is the river width of section M, is the cross-sectional water level of river section M, is the flow rate of river section M, is the inflow at the river confluence, A is the cross-sectional area of ​​the river section M, is the acceleration due to gravity, is the flow modulus, t For time,x For axial direction; is the concentration of a certain water quality indicator in river section M, is the average flow velocity of the section M, For the river section M x The scatter coefficient, is the biochemical reaction term of a water quality index in river section M, is the external source and sink term of a certain water quality indicator of river section M;

[0079] The river confluence must meet the flow boundary conditions and dynamic boundary conditions, which are expressed as follows:

[0080] ;

[0081] In the formula, i For all rivers that meet at a certain confluence, For the river i of traffic, is the water storage capacity at the inlet, For the river i The cross-sectional water level, H is the water level at the confluence entrance.

[0082] Considering the different outflow forms between the pipe network and the river network confluence, the establishment process of the hydrodynamic coupling model of this embodiment also includes:

[0083] If there is a pipe network connection at the river confluence, the following formula is used to calculate the gate pump parameters:

[0084] ;

[0085] In the formula, is the free flow coefficient, is the flooded outflow discharge coefficient, is the width of the gate hole, and are the water head before the gate and the water head after the gate, and They are the water level before the gate and the water level after the gate. is the output flow of pipeline p at the confluence point.

[0086] Furthermore, the construction process of the evaluation index system is as follows: construct a hierarchical analysis structure, which includes: a target layer, a criterion layer and an index layer. Figure 2 As shown, the target layer is the decision of the live water scheduling scheme;

[0087] The criteria layers include: flood control benefit layer, ecological benefit layer and control benefit layer;

[0088] The indicator layers include: flood control compliance rate and waterlogging removal compliance rate for the flood control benefit layer; reasonable flow velocity threshold, ecological flow / water level satisfaction degree, and water quality quality for the ecological benefit layer; and reasonable water diversion compliance rate, equipment operation degree, economic benefits, and social benefits for the control and guidance benefit layer.

[0089] In order to better construct the evaluation system, this embodiment uses the following form to express the indicator layer:

[0090] , where C represents the criterion item of the criterion layer, It is the indicator item corresponding to the criterion item C. Taking the ecological benefit layer as an example, the corresponding indicator items are: reasonable flow rate threshold, ecological flow / water level satisfaction degree, and water quality quality. Taking the flood control benefit layer as an example, the corresponding indicator items are: flood control compliance rate and waterlogging removal compliance rate. Therefore, the type and quantity of corresponding indicator items for each criterion item are not the same, but depend on project requirements. In order to comprehensively consider the requirements of sustainable utilization of water resources and water environment protection, and give full play to the comprehensive effectiveness of the water network, this embodiment associates multiple criteria and multiple indicators for analysis. Specifically: determine the project type and the project occurrence area according to the engineering cluster, assign a first-level weight to the criterion item C based on the project type to obtain a criterion item weight set , ,in, Represents the weight value of the criterion item C in the criterion layer. Combined with the above example, different weight values ​​are assigned to the flood control benefit layer, ecological benefit layer and control benefit layer according to the project type to highlight the different priority consideration levels guided by the project type. In this embodiment, the weight assignment can be carried out by tomography analysis, priority diagram method, expert survey method, entropy value method and factor analysis method, etc.

[0091] Each criterion item is configured with a corresponding standard item, so taking the criterion item C as the unit, the corresponding indicator items are sequentially Assign secondary weights to obtain the indicator weight set for the criterion items , , correspondingly, Represents the weight set of all indicator items about the criterion item C, expressed as .

[0092] That is, weight values ​​are assigned to the flood control compliance rate and waterlogging removal compliance rate in the index layer used to evaluate the flood control benefit layer. Therefore, in summary, weight values ​​will be assigned to the flood control benefit layer, ecological benefit layer, and control benefit layer separately according to the same standard. Correspondingly, weight values ​​are assigned to the flood control compliance rate and waterlogging removal compliance rate according to the same standard; weight values ​​are assigned to the reasonable flow velocity threshold, ecological flow / water level satisfaction degree, and water quality quality according to the same standard; weight values ​​are assigned to the reasonable water diversion compliance rate, equipment operation degree, economic benefits, and social benefits according to the same standard.

[0093] Therefore, the assignment form used in the above text is independent assignment, and only items at the same level are related, so the following formula is needed to assign the indicator items j The weights are processed comprehensively, which is specifically expressed as follows:

[0094] ; In the formula, , ;

[0095] The comprehensive weight vector of all indicators is for: , , which represents the comprehensive numbering of indicator items, that is, the indicator items of all criterion items are numbered.

[0096] Combined with the above technical features, the following technical solutions are used to screen key influencing factors:

[0097] When assigning the first-level weight to criterion item C, the control benefit criterion is given the highest weight value in criterion item C; correspondingly, the indicator used to evaluate the control benefit layer is given the highest value weight in the indicator layer when the second-level weight is assigned. In other embodiments, if the ecological benefit layer is the evaluation target, when assigning the first-level weight to criterion item C, the ecological benefit criterion is given the highest weight value in criterion item C; correspondingly, the indicator used for the ecological benefit layer is given the highest value weight in the indicator layer when the second-level weight is assigned. And so on.

[0098] Based on this, the comprehensive weight vector The weight values ​​in the formula are ranked in descending order, and the factors ranked before the predetermined nouns are defined as key impact factors, and a set of key impact factors is obtained;

[0099] Determine key evaluation indicators according to the key influencing factor set, and optimize the live water scheduling plan based on the key evaluation indicators.

[0100] For example, according to the above assignment and analysis, the weight values ​​corresponding to the reasonable water diversion volume compliance rate, economic benefits and water quality are the top three, then the corresponding indicators can be determined as the key evaluation indicators: reasonable water diversion volume compliance rate, economic benefits and water quality.

[0101] Therefore, when generating or selecting a live water scheduling plan, reasonable water diversion rate, economic benefits and water quality need to be met as key factors.

[0102] Table 1. Standards for indicators in different regions

[0103]

[0104] But in reality, the standards for indicators in different areas are different, see Table 1. Taking the running water dispatch of a certain city as an example, the city is divided into different urban areas, and the indicator standards given in combination with the terrain characteristics and water quality characteristics of the urban areas are also different.

[0105] Therefore, the process of obtaining the evaluation results of this embodiment is as follows:

[0106] Determine the index standards of standard items according to different execution areas to obtain the index standard set for the index items , and is defined as , where Indicator In the execution area The corresponding indicator standards and indicator calculation formulas are as follows; determine the engineering occurrence area within the engineering cluster, match the engineering occurrence area with the execution area, and Determine the appropriate indicator standards in ,in ;

[0107] Combined with Table 1, the index standard of the reasonable flow velocity threshold of the index layer is expressed as {61.2, 38.6, 41.5, 63.1, 40.3}, that is, it needs to be selected according to the occurrence area. If the current occurrence area is Gucheng District, the corresponding index standard of the reasonable flow velocity threshold is 61.2; if the current occurrence area is Xicheng District, the corresponding index standard of the reasonable flow velocity threshold is 63.1. And so on for other index items.

[0108] The index calculation in this embodiment takes flood control compliance rate, waterlogging control compliance rate, and reasonable flow rate threshold as examples, and adopts the following calculation formula:

[0109] ; In the formula, For flood control compliance rate, The length of the river dike that meets flood control standards. is the total guard length of the river;

[0110] ; In the formula, To achieve the flood control standard rate, is the total area of ​​the polder area, n is the number of polder areas, This is the planned flood control standard for the embankment area. This is the actual flood control standard achieved in the embankment area.

[0111] ; In the formula, The proportion of river length within the reasonable flow velocity threshold (%), is the length of the river with a flow velocity of 0.05-0.15 m / s (km); is the total length of the river network (km).

[0112] Furthermore, the simulated observation data is substituted into the corresponding indicator calculation formula to obtain the actual score of the corresponding indicator item. ; When the following evaluation conditions are met at the same time, it means that the corresponding live water scheduling scheme is the optimal live water scheme:

[0113] The indicator standards and actual scores of the key evaluation indicators were compared one by one. The actual scores of each key evaluation indicator were higher than the corresponding indicator standards.

[0114] The comprehensive actual score is higher than the given comprehensive indicator standard; wherein the comprehensive actual score is calculated using the following formula:

[0115] ;

[0116] The calculation formula of the comprehensive index standard is as follows: , .

[0117] Example 2

[0118] This embodiment discloses a multi-benefit optimization scheduling system for a cluster of water conservancy control and guidance projects in an urban river network, which is used to implement the multi-benefit optimization scheduling method for a cluster of water conservancy control and guidance projects described in Embodiment 1, including:

[0119] The first module is configured to obtain river network data, pipe network data, hydrological and water quality data and hydrodynamic data of the urban river network, and use the river network data and pipe network data to build a river network-pipe network integrated model; based on the river network-pipe network integrated model, and in combination with the hydrological and water quality data and hydrodynamic data, a hydrodynamic-coupling model is established;

[0120] The second module is configured to create a plurality of live water scheduling schemes based on the hydrodynamic-coupling model to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control;

[0121] The third module is configured to create an engineering cluster and construct an evaluation index system; evaluate the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefits as the evaluation target to select key evaluation indicators; determine at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators;

[0122] The fourth module is configured to use the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and to evaluate the simulated observation data using the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme;

[0123] The fifth module is configured to update the generated optimal live water plan to the live water scheduling plan set.

Claims

1. A multi-benefit optimization dispatching method for a cluster of urban river network water conservancy control and guidance projects, characterized in that: The following steps are involved: Obtain river network data, pipe network data, hydrological and water quality data, and hydrodynamic data of the urban river network, and use the river network data and pipe network data to construct a river network-pipe network integration model; Based on the river network-pipeline network integrated model, a hydrodynamic-coupling model is established in combination with the hydrological and water quality data and the hydrodynamic data; Based on the hydrodynamic-coupling model, a plurality of live water scheduling schemes are created to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control; Creating an engineering cluster and constructing an evaluation index system; evaluating the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefits as the evaluation target to select key evaluation indicators; determining at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators; Using the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and evaluating the simulated observation data using the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme; Updating the generated optimal live water plan to the live water scheduling plan set; The construction process of the evaluation index system is as follows: construct a hierarchical analysis structure, which includes: a target layer, a criterion layer and an index layer; The indicator layer is expressed in the following form: , where C represents the criterion item of the criterion layer, is the indicator item corresponding to the criterion item C; Determine the project type and project occurrence area based on the project cluster, and assign a primary weight to the criterion item C based on the project type to obtain the criterion item weight set , ,in, Represents the weight value of the criterion item C in the criterion layer; Taking the criterion item C as the unit, the corresponding indicator items are Assign secondary weights to obtain the indicator weight set for the criterion items , ,in, Represents the weight set of all indicator items about the criterion item C, expressed as ; All indicators are calculated using the following formula: j The comprehensive weight of : ; In the formula, , ; The comprehensive weight vector of all indicators is for: , , indicating the comprehensive number of the indicator item; The screening process of the key evaluation indicators is as follows: When assigning the first-level weight to the criterion item C, the control benefit criterion is given the highest weight value in the criterion item C; correspondingly, when assigning the second-level weight to the indicator used to evaluate the control benefit layer, the highest value weight in the indicator layer is given; Based on this, the comprehensive weight vector The weight values ​​in the formula are ranked in descending order, and the factors ranked before the predetermined nouns are defined as key impact factors, and a set of key impact factors is obtained; Determine key evaluation indicators according to the key influencing factor set, and optimize the live water scheduling scheme based on the key evaluation indicators; The process of obtaining the evaluation results is as follows: Determine the index standards of standard items according to different execution areas to obtain the index standard set for the index items , and is defined as , where Indicator In the execution area The corresponding indicator standards and indicator calculation formulas are as follows; determine the engineering occurrence area within the engineering cluster, match the engineering occurrence area with the execution area, and Determine the appropriate indicator standards in ,in ; Substitute the simulated observation data into the corresponding indicator calculation formula to obtain the actual score of the corresponding indicator item. ; When the following evaluation conditions are met at the same time, it means that the corresponding live water scheduling scheme is the optimal live water scheme: The indicator standards of the key evaluation indicators are compared with the actual scores one by one. The actual score of each key evaluation indicator is higher than the corresponding indicator standard; the comprehensive actual score is higher than the given comprehensive indicator standard; wherein the comprehensive actual score is calculated using the following formula: ； The calculation formula of the comprehensive index standard is as follows: , .

2. The multi-benefit optimization scheduling method for urban river network water conservancy control and guidance engineering cluster according to claim 1 is characterized in that: The river network data are coded using the river dataset To express, , For the river, and The rivers The upstream starting point and downstream end point of Indicates river Other points except the upstream starting point and the downstream end point, is the flow of river section M; river r is at least one river section M; The pipeline network data is collected by pipeline Describe, among which, , is the pipeline number, It is the confluence point of the pipeline and the river. is a node on pipeline p, is the output flow of pipeline p at the confluence point.

3. The multi-benefit optimization scheduling method for urban river network water conservancy control and guidance engineering cluster according to claim 1 is characterized in that: The construction process of the river network-pipeline network integrated model is as follows: Traverse the river set R and perform the following steps: The X-axis coordinate value and Y-axis coordinate value corresponding to the point data are used to display the plane position relationship, combined with the river The Z-axis coordinate value corresponding to the point data reflects the flow direction of the river network and obtains a directed topological diagram of the river network; Create a river point set, update the displayed point data to the river point set, and repeat this process; If duplicate points appear during the update process, one will be retained; Iterate over the pipeline set Perform the following steps: Based on the confluence point of the pipeline and the river Mark them on the directed topological map of the river network and update them to the river network point set according to the principle of selecting one to keep; on the directed topological map of the river network, Identify the node on the pipeline as the starting point And they are connected in sequence to form a pipe network topology diagram based on the river network.

4. The multi-benefit optimization scheduling method for urban river network water conservancy control and guidance engineering cluster according to claim 1 is characterized in that: The establishment process of the hydrodynamic coupling model is as follows: The river r is divided according to other points Divide and obtain M river sections. If { } is an empty set, then the division is based on the central cross section of the corresponding river r, and M is an integer greater than or equal to 2; The following formula is used to express the hydrodynamics and water quality of each river section: ； In the formula, is the river width of section M, is the cross-sectional water level of river section M, is the flow rate of river section M, is the inflow at the river confluence, A is the cross-sectional area of ​​the river section M, is the acceleration due to gravity, is the flow modulus, t For time, x is axial; is the concentration of a certain water quality indicator in river section M, is the average flow velocity of the section M, For the river section M x The scatter coefficient, is the biochemical reaction term of a water quality index in river section M, is the external source and sink item of a certain water quality indicator of river section M; The river confluence must meet the flow boundary conditions and dynamic boundary conditions, which are expressed as follows: ； In the formula, i For all rivers that meet at a certain confluence, For the river i of traffic, is the water storage capacity at the inlet, For the river i The cross-sectional water level, H is the water level at the confluence entrance.

5. The multi-benefit optimization scheduling method for urban river network water conservancy control and guidance engineering cluster according to claim 4 is characterized in that: The following processes are also included: If there is a pipe network connection at the river confluence, the following formula is used to calculate the gate pump parameters: ； In the formula, is the free flow coefficient, is the flooded outflow discharge coefficient, is the width of the gate hole, and are the water head before the gate and the water head after the gate, and They are the water level before the gate and the water level after the gate. is the output flow of pipeline p at the confluence point.

6. The multi-benefit optimization scheduling method for urban river network water conservancy control and guidance engineering cluster according to claim 1 is characterized in that: The target layer is the decision of the live water scheduling scheme; The criteria layers include: flood control benefit layer, ecological benefit layer and control benefit layer; The indicator layers include: flood control compliance rate and waterlogging removal compliance rate for the flood control benefit layer; reasonable flow velocity threshold, ecological flow / water level satisfaction degree, and water quality quality for the ecological benefit layer; and reasonable water diversion compliance rate, equipment operation degree, economic benefits, and social benefits for the control and guidance benefit layer.

7. A multi-benefit optimization dispatching system for a cluster of water conservancy control and guidance projects in an urban river network, used to implement a multi-benefit optimization dispatching method for a cluster of water conservancy control and guidance projects as claimed in any one of claims 1 to 6, characterized in that: include: The first module is configured to obtain river network data, pipe network data, hydrological and water quality data, and hydrodynamic data of the urban river network, and construct a river network-pipe network integrated model using the river network data and pipe network data; Based on the river network-pipeline network integrated model, a hydrodynamic-coupling model is established in combination with the hydrological and water quality data and the hydrodynamic data; The second module is configured to create a plurality of live water scheduling schemes based on the hydrodynamic-coupling model to obtain a live water scheduling scheme set, wherein the live water scheduling scheme includes: drainage pattern, pipe network layout and flow control; The third module is configured to create an engineering cluster and construct an evaluation index system; evaluate the live water scheduling schemes in the live water scheduling scheme set with the control engineering benefit as the evaluation target to select key evaluation indicators; determine at least one set of preferred live water scheduling schemes based on the selected key evaluation indicators; wherein the construction process of the evaluation index system is as follows: construct a hierarchical analysis structure, the hierarchical analysis structure includes: a target layer, a criterion layer and an indicator layer; The indicator layer is expressed in the following form: , where C represents the criterion item of the criterion layer, is the indicator item corresponding to the criterion item C; Determine the project type and project occurrence area based on the project cluster, and assign a primary weight to the criterion item C based on the project type to obtain the criterion item weight set , ,in, Represents the weight value of the criterion item C in the criterion layer; Taking the criterion item C as the unit, the corresponding indicator items are Assign secondary weights to obtain the indicator weight set for the criterion items , ,in, Represents the weight set of all indicator items about the criterion item C, expressed as ; All indicators are calculated using the following formula: j The comprehensive weight of : ; In the formula, , ; The comprehensive weight vector of all indicators is for: , , indicating the comprehensive number of the indicator item; The screening process of the key evaluation indicators is as follows: When assigning the first-level weight to the criterion item C, the control benefit criterion is given the highest weight value in the criterion item C; correspondingly, when assigning the second-level weight to the indicator used to evaluate the control benefit layer, the highest value weight in the indicator layer is given; Based on this, the comprehensive weight vector The weight values ​​in the formula are ranked in descending order, and the factors ranked before the predetermined nouns are defined as key impact factors, and a set of key impact factors is obtained; Determine key evaluation indicators according to the key influencing factor set, and optimize the live water scheduling scheme based on the key evaluation indicators; The fourth module is configured to use the hydrodynamic-coupling model to simulate at least one set of preferred live water scheduling schemes to obtain simulated observation data, and to evaluate the simulated observation data through the control engineering benefit evaluation index system to obtain evaluation results; the evaluation results are used to determine the optimal live water scheme or generate the best live water scheme; wherein the evaluation result acquisition process is as follows: Determine the index standards of standard items according to different execution areas to obtain the index standard set for the index items , and is defined as , where Indicator In the execution area The corresponding indicator standards and indicator calculation formulas are as follows; determine the engineering occurrence area within the engineering cluster, match the engineering occurrence area with the execution area, and Determine the appropriate indicator standards in ,in ; Substitute the simulated observation data into the corresponding indicator calculation formula to obtain the actual score of the corresponding indicator item. ; When the following evaluation conditions are met at the same time, it means that the corresponding live water scheduling scheme is the optimal live water scheme: The indicator standards of the key evaluation indicators are compared with the actual scores one by one. The actual score of each key evaluation indicator is higher than the corresponding indicator standard; the comprehensive actual score is higher than the given comprehensive indicator standard; wherein the comprehensive actual score is calculated using the following formula: ； The calculation formula of the comprehensive index standard is as follows: , ; The fifth module is configured to update the generated optimal live water plan to the live water scheduling plan set.

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