Three-stage collaborative scheduling method and system for emergency disposal of dammed lake upstream reservoirs

Abstract

The application discloses a three-stage cooperative scheduling method and system for an emergency disposal of an upstream reservoir of a barrier lake, and belongs to the field of emergency disposal of barrier lakes. The method comprises the following steps: 1) establishing a three-stage quantitative model for scheduling of the upstream reservoir, including an initial stage of water level rising of the barrier lake S 1 , a development stage of flow passing of the barrier lake S 2 , and a stage of water level falling of the barrier lake S 3 ; 2) for the stage S 1 , the minimum discharge flow of the upstream reservoir is adopted for control scheduling under the condition that the upstream reservoir does not overtop the dam; 3) for the stage S 2 , the maximum discharge flow of the upstream reservoir is adopted for control scheduling under the condition that the barrier body is not washed away and thus destabilized due to excessively large flow; and 4) for the stage S 3 , the minimum discharge flow of the upstream reservoir is adopted for control scheduling under the condition that the upstream reservoir does not overtop the dam. The application realizes extension of a construction window period of a rescue measure for the barrier lake, dynamic balance of stability of the barrier body and risk of a breach flood, and provides a scientific basis for safe disposal of the barrier lake.

Description

Technical Field

[0001] This invention relates to the field of emergency response to landslide dammed lakes, specifically to a three-stage coordinated scheduling method and system for upstream reservoirs in emergency response to landslide dammed lakes. Background Technology

[0002] A landslide-dammed lake is a natural dammed lake formed by natural disasters such as landslides and earthquake collapses that block river channels. It is characterized by its sudden onset, high risk of breach, and wide-ranging impact. Once a landslide-dammed lake breaches, the peak flow of the flood can reach dozens of times the normal flow of the river, seriously threatening the lives and property of people downstream. Current methods for upstream reservoir scheduling in emergency response to landslide-dammed lakes have the following shortcomings: first, traditional methods do not develop differentiated upstream reservoir scheduling methods based on the phased characteristics of landslide-dammed lake development; second, the dynamic control of upstream reservoir discharge flow at each stage is not yet clearly defined.

[0003] Therefore, it is urgent to establish a multi-stage collaborative scheduling method and system based on the dynamic evolution characteristics of landslide dammed lakes. Through phased modeling, multi-constraint coupling and dynamic feedback mechanisms, the system can extend the construction window period for landslide dammed lake emergency measures, achieve a dynamic balance between the stability of the landslide dam and the risk of breach flood, and provide a scientific basis for the safe disposal of landslide dammed lakes. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention proposes a multi-stage collaborative scheduling method and system based on the dynamic evolution characteristics of landslide dammed lakes. Through phased modeling, multi-constraint coupling, and dynamic feedback mechanisms, a differentiated scheduling method for upstream reservoirs based on the stage-specific characteristics of landslide dammed lake development is constructed. This method extends the construction window for emergency response measures and flattens the peak flow curve of the landslide dammed lake breach under conditions of controllable landslide stability, thereby rapidly reducing the water level of the landslide dammed lake, decreasing the maximum flow of the breach peak, and reducing the risk of breach floods.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution:

[0006] A three-stage coordinated scheduling method for upstream reservoirs in emergency response to landslide dammed lakes includes the following steps:

[0007] 1) Establish a three-stage quantitative model for upstream reservoir scheduling, including the initial stage of the landslide dammed lake water level rise (S1), the development stage of the landslide dammed lake overflow (S2), and the stage of the landslide dammed lake water level fall (S3).

[0008] 2) For the initial stage S1 of the landslide dammed lake water level rise, the minimum discharge flow of the upstream reservoir is used for control and scheduling, provided that the upstream reservoir does not overflow the dam.

[0009] 3) For the S2 stage of the landslide dammed lake overflow development, under the condition that the landslide dam body does not become unstable due to scouring caused by excessive flow, the maximum discharge flow of the upstream reservoir shall be used for control and scheduling.

[0010] 4) For the S3 stage of the landslide dam's water level drop, the minimum discharge flow of the upstream reservoir is used for control and scheduling, provided that the upstream reservoir does not overflow the dam.

[0011] Preferably, in step 1), the three-stage quantization model is defined by the following formula (1):

[0012]

[0013] In equation (1), S represents the set of quantitative models for the upstream reservoir scheduling stage; S1 represents the initial stage of the landslide dammed lake water level rise; S2 represents the development stage of the landslide dammed lake overflow; S3 represents the stage of the landslide dammed lake water level decline; H 堰塞湖库水位 The water level of the landslide-dammed lake reservoir; H 引流槽底板高程 The elevation of the bottom plate of the diversion channel; Q 引流槽过流量 Q represents the flow rate of the drainage channel; 上游总来水量 This represents the total inflow from the upstream area.

[0014] Preferably, in step 2), the downstream flow control and scheduling in stage S1 adopts the following optimization model, as shown in equation (2):

[0015]

[0016] In equation (2), T 施工 Let V(H) be the objective function, and let V(H) be the maximum time available for implementing emergency measures to mitigate the landslide dam. 引流槽底板高程 V represents the total reservoir capacity of the landslide dammed lake when the water level rises to the elevation of the bottom plate of the flow channel; 初 Q represents the initial total capacity of the landslide-dammed lake. 产汇流 (t) is a function representing the time-varying flow rate of the upstream runoff from the landslide dammed lake; Q 上游水库 (t) is a function of the time-varying discharge flow from the upstream reservoir of the landslide dammed lake; Q 不漫坝 (t) is a function of the downstream discharge flow rate over time under the condition that the upstream reservoir does not overflow the dam.

[0017] Preferably,

[0018] Q 产汇流 (t)=R(t)+M(t)

[0019] In the formula, R(t) is the function of rainfall runoff from the upstream reservoir as a function of time, and M(t) is the function of snowmelt replenishment from the upstream reservoir as a function of time.

[0020] Q 上游水库 (t)=min[E(t),F(t)]

[0021] In the formula, E(t) is the function of the safe discharge of the upstream reservoir as a function of time, and F(t) is the function of the safe inflow of the upstream reservoir as a function of time.

[0022] E(t) = c·[N(t) - N0] 0.5

[0023] In the formula, c is the discharge coefficient of the upstream reservoir, N is the current water level of the upstream reservoir, and N0 is the discharge level of the upstream reservoir.

[0024] Preferably, in step 3), the flow control and scheduling in stage S2 adopts the following optimization model, as shown in equation (3):

[0025]

[0026] In equation (3), Q 引流槽最大过流能力 (t) is a function of the maximum flow capacity of the diversion channel as a function of time; Q 引流槽最大抗冲刷流量 Q represents the maximum scour resistance flow rate of the diversion channel. 引流槽水力最大过流量 (t) is a function of the maximum hydraulic flow rate of the diversion channel as a function of time; C 堰塞体 The material composition of the landslide dam; d 50 B represents the median particle size of the material composition of the landslide dam. 引流槽 θ is the width of the bottom of the drainage channel; 引流槽 H represents the slope angle on both sides of the diversion channel. 堰前水深 Q represents the water depth in front of the landslide dam. 消能安全最大流量 The maximum flow rate for energy dissipation safety.

[0027] Preferably, in step 4), the flow control and scheduling in stage S3 adopts the following optimization model, as shown in equation (4):

[0028]

[0029] A system for implementing the three-stage coordinated scheduling method for upstream reservoirs in the emergency response to landslide dammed lakes, comprising:

[0030] The data acquisition module is used to monitor the water level H of the landslide dammed lake in real time. 堰塞湖库水位 Elevation H of the bottom plate of the diversion channel 引流槽底板高程 Flow rate Q of the diversion channel 引流槽过流量 Total upstream water inflow Q 上游总来水量 and geological parameters C of the landslide dam 堰塞体 and d 50 ;

[0031] The stage judgment module is connected to the data acquisition module. Based on the monitoring data, it constructs a three-stage quantitative model to determine whether the current scheduling stage is the initial stage of water level rise S1, the overflow development stage S2, or the stage of water level drop S3.

[0032] The optimized control module includes:

[0033] The S1 control unit is used to calculate the minimum discharge flow that satisfies the upstream reservoir's non-overflow constraint based on the S1 stage discharge flow optimization model, and to maximize the emergency construction time T. 施工 ;

[0034] The S2 control unit is used to calculate the maximum allowable discharge flow that satisfies the constraint that the landslide dam will not become unstable due to scouring caused by excessive flow, based on the S2 stage discharge flow optimization model.

[0035] The S3 control unit is used to calculate the minimum discharge flow that satisfies the upstream reservoir's non-overflow constraint based on the S3 stage discharge flow optimization model.

[0036] The execution module is connected to the optimization control module and adjusts the opening status of the upstream reservoir discharge facility in real time according to the optimization results of each stage to achieve precise flow control.

[0037] The dynamic feedback module is used to update the judgment results based on real-time monitoring data and trigger the optimization control module to recalculate the discharge flow strategy to ensure a dynamic balance between the stability of the landslide dam and the risk of collapse.

[0038] Preferably, the data acquisition module includes a water level sensor, a flow meter, a geological detector, and a data fusion processor, used to realize real-time acquisition and calibration of multi-source data.

[0039] Preferably, the dynamic feedback module predicts the water level change trend of the landslide dammed lake through machine learning algorithms and dynamically adjusts the stage judgment threshold.

[0040] The three-stage coordinated scheduling method for upstream reservoirs in the emergency response to landslide dammed lakes of the present invention has the following advantages and beneficial effects:

[0041] (1) Based on the evolution characteristics of landslide dammed lakes, this invention first creates a three-stage quantitative model of upstream reservoirs (S1 water level rise period - S2 flow development period - S3 water level fall period). By establishing stage judgment indicators through key parameters such as water level elevation and flow rate, the upstream reservoir scheduling and the dynamic development of landslide dammed lakes can be accurately matched.

[0042] (2) This invention constructs a three-pronged collaborative system of "construction window period - landslide dam stability - flood peak reduction": In stage S1, a minimum discharge strategy is adopted to maximize the extension of emergency construction time; in stage S2, hydrodynamics, soil mechanics and reservoir scheduling theories are integrated, and a geological parameter (d) is proposed. 50 Particle size), hydraulic parameters (B) 引流槽 θ 引流槽 ), reservoir safety boundary (Q 不漫坝Multidimensional constraint models, such as those used in the S3 stage, were employed to introduce scour resistance constraints, thereby achieving dual protection of flow control and dam structure stability, and ultimately reducing the rate of water level rise in the dammed lake reservoir. The peak-shaving strategy employed in the S3 stage effectively reduced the peak flow and mitigated downstream flooding.

[0043] (3) This invention has wide applicability and is applicable to emergency rescue of landslide dammed lakes of various risk levels. Detailed Implementation

[0044] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. Obviously, the present invention is not limited to the scope of the specific embodiments.

[0045] This invention provides a three-stage coordinated scheduling method for upstream reservoirs in emergency response to landslide dammed lakes, comprising the following steps:

[0046] 1) Establish a three-stage quantitative model for upstream reservoir scheduling.

[0047] Based on H 堰塞湖库水位 H 引流槽底板高程 Q 引流槽过流量 and Q 上游总来水量 A three-stage quantitative model for upstream reservoir scheduling is constructed, as shown in equation (1):

[0048]

[0049] In equation (1): S is the quantitative model set for the upstream reservoir scheduling stage, which includes three elements: S1 is the initial stage of the landslide dam water level rise, from "landslide dam formation" to "landslide dam water level rises to the bottom elevation of the diversion channel", and the judgment index is H. 堰塞湖库水位 ≤H 引流槽底板高程 S2 represents the development stage of the landslide dammed lake's overflow, from "the water level of the landslide dammed lake equals the bottom elevation of the diversion channel" to "the overflow rate of the diversion channel of the landslide dam body reaches the upstream inflow of the landslide dammed lake," with H as the determining factor. 堰塞湖库水位 >H 引流槽底板高程 And Q 引流槽过流量 ≤Q 上游总来水量 S3 represents the stage of water level decline in the landslide dammed lake, from "the flow rate of the diversion channel of the landslide dam is greater than the inflow from the upstream of the landslide dammed lake" to "finally", with the judgment indicator being Q. 引流槽过流量 >Q 上游总来水量 .

[0050] 2) S1 stage upstream reservoir discharge control model

[0051] The principle for controlling the discharge flow of the upstream reservoir in stage S1 is as follows: Under the premise of ensuring that the reservoir does not overflow, the discharge flow of the upstream reservoir should be reduced as much as possible to provide the maximum construction time for emergency measures such as the excavation of the diversion channel of the landslide dam, as shown in equation (2).

[0052]

[0053] In equation (2): T 施工 Let be the objective function, and be the maximum time available for emergency measures such as excavation of the diversion channel for the landslide dammed lake. V(H, the elevation of the diversion channel bottom plate) represents the total reservoir capacity of the landslide dammed lake when the water level rises to the elevation of the channel bottom plate. Vinitial represents the initial total reservoir capacity of the landslide dammed lake. Q0 产汇流 (t) is a function of the time-varying flow rate of the upstream runoff from the landslide dammed lake, Q 上游水库 (t) is a function of the time-varying discharge rate of the upstream reservoir of the landslide dammed lake, Q 不漫坝 (t) is a function of the downstream discharge flow rate over time under the condition that the upstream reservoir does not overflow the dam.

[0054] Q 产汇流 (t)=R(t)+M(t)

[0055] In the formula, R(t) is the function of rainfall runoff from the upstream reservoir as a function of time, and M(t) is the function of snowmelt replenishment from the upstream reservoir as a function of time.

[0056] Q 上游水库 (t)=min[E(t),F(t)]

[0057] In the formula, E(t) is the function of the safe discharge of the upstream reservoir as a function of time, and F(t) is the function of the safe inflow of the upstream reservoir as a function of time.

[0058] E(t) = c·[N(t) - N0] 0.5

[0059] In the formula, c is the discharge coefficient of the upstream reservoir, N is the current water level of the upstream reservoir, and N0 is the discharge level of the upstream reservoir.

[0060] According to the upstream reservoir discharge control model for stage S1, it is known that, firstly, basic data such as topography, the water level-capacity curve of the landslide dammed lake, and the design parameters of the diversion channel are collected. Then, the total reservoir capacity V(H) of the landslide dammed lake when the water level rises to the elevation of the bottom plate of the diversion channel is calculated. 引流槽底板高程 ) and the initial total reservoir capacity V of the landslide dammed lake 初 Based on Q 上游水库 (t)>Q 不漫坝 Given the constraints (t) and the upstream reservoir scheduling rules, Q is calculated. 上游水库 (t) represents the minimum value as t changes. Therefore, Q is... 上游水库 Substitute (t) into the objective function to obtain T. 施工 Maximum value.

[0061] 3) S2 stage upstream reservoir discharge control model

[0062] The principle for controlling the discharge flow from the upstream reservoir in stage S2 is: the discharge flow must ensure that the dam body does not become unstable due to scouring caused by excessive flow, while also enabling the diversion channel to quickly reach Q. 最大下泄流量 This achieves the goal of reducing the rate of rise in the water level of the landslide dammed lake, as shown in equation (3):

[0063]

[0064] In the formula: C 堰塞体 The material composition of the landslide dam, d 50 The median particle size of the material composition of the landslide dam.

[0065] According to the upstream reservoir discharge control model for stage S2, firstly, based on the material composition C of the landslide dam... 堰塞体 The median particle size d of the material composition of the landslide dam 50 Q is calculated 引流槽最大抗冲刷流量 Secondly, based on the designed bottom width B of the diversion channel, the slope angle θ of the diversion channel on both sides, and the water depth H in front of the dam, the maximum hydraulic flow rate (t) of the diversion channel Q as a function of time was calculated. Q is taken as... 引流槽最大抗冲刷流量 and Q 引流槽水力最大过流量 (t) is the largest value, and Q is calculated. 引流槽最大过流能力 (t) represents the change in value over time. Based on Q... 上游水库 (t)>Q 不漫坝 (t) and 消能安全最大流量 Constraints, combined with the time-varying function Q of the upstream runoff from the landslide dammed lake. 产汇流 (t), calculate Q 上游水库 (t) The maximum value of each time stage, thereby achieving the goal of reducing the rate of increase of the water level of the landslide dammed lake.

[0066] 4) S3 stage upstream reservoir discharge control model

[0067] The principle for controlling the downstream discharge flow of the upstream reservoir in stage S3 is as follows: After stage S2, the landslide dam has entered the stage of full downcutting. In order to reduce downstream flooding, and under the condition that the upstream reservoir does not overflow, Q is taken as... 上游水库 (t) The minimum value at each time stage is shown in equation (4):

[0068]

[0069] Through the above steps, the implementation of the three-stage coordinated scheduling method for upstream reservoirs in the emergency response to landslide dammed lakes, as described in this invention, is completed.

[0070] Based on a general inventive concept, embodiments of the present invention also provide a system for executing the aforementioned three-stage coordinated scheduling method for upstream reservoirs in emergency response to landslide dammed lakes, comprising:

[0071] ​The data acquisition module is used to monitor the water level H of the landslide dammed lake in real time. 堰塞湖库水位 Elevation H of the bottom plate of the diversion channel 引流槽底板高程 Flow rate Q of the diversion channel 引流槽过流量 Total upstream water inflow Q 上游总来水量 and geological parameters C of the landslide dam 堰塞体 and d 50 ;

[0072] The stage judgment module is connected to the data acquisition module. Based on the monitoring data, it constructs a three-stage quantitative model to determine whether the current scheduling stage is the initial stage of water level rise S1, the overflow development stage S2, or the stage of water level drop S3. The judgment conditions are shown in Equation 1.

[0073] The optimized control module includes:

[0074] The S1 control unit is used to calculate the minimum discharge flow that satisfies the upstream reservoir's non-overflow constraint based on the S1 stage discharge flow optimization model (as shown in Equation 2), and to maximize the emergency construction time T. 施工 ;

[0075] The S2 control unit is used to calculate the maximum allowable discharge flow that satisfies the constraint that the dam body will not become unstable due to excessive flow due to scouring, based on the S2 stage discharge flow optimization model (as shown in Equation 3).

[0076] The S3 control unit is used to calculate the minimum discharge flow that satisfies the upstream reservoir's non-overflow constraint based on the S3 stage discharge flow optimization model (as shown in Equation 4).

[0077] The execution module is connected to the optimization control module and adjusts the opening status of the upstream reservoir discharge facility in real time according to the optimization results of each stage to achieve precise flow control.

[0078] The dynamic feedback module is used to update the judgment results based on real-time monitoring data and trigger the optimization control module to recalculate the discharge flow strategy to ensure a dynamic balance between the stability of the landslide dam and the risk of collapse.

[0079] Preferably, the data acquisition module includes a water level sensor, a flow meter, a geological detector, and a data fusion processor, used to realize real-time acquisition and calibration of multi-source data.

[0080] Preferably, the dynamic feedback module predicts the water level change trend of the landslide dammed lake through machine learning algorithms and dynamically adjusts the stage judgment threshold.

[0081] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0082] The contents not described in detail in this specification are existing technologies known to those skilled in the art.

Claims

1. A three-stage coordinated dispatching method for emergency disposal of a dammed lake upstream reservoir, characterized in that, Comprising the following steps: 1) Establishing an upstream reservoir dispatch three-stage quantification model, including dammed lake water level rising initial stage S1, dammed lake flow development stage S2, and dammed lake water level falling stage S3; 2) For the dammed lake water level rising initial stage S1, under the condition of satisfying the upstream reservoir not overtopping, the minimum downstream discharge of the upstream reservoir is adopted for control and dispatch; 3) For the dammed lake flow development stage S2, under the condition of satisfying the dammed body not being destabilized due to excessive flow causing erosion, the maximum downstream discharge of the upstream reservoir is adopted for control and dispatch; 4) For the dammed lake water level falling stage S3, under the condition of satisfying the upstream reservoir not overtopping, the minimum downstream discharge of the upstream reservoir is adopted for control and dispatch; In step 1), the three-stage quantification model is defined by the following formula (1): In formula (1), S is a set of quantitative models in the upstream reservoir regulation stage; S1 is the initial stage of dammed lake water level rise; S2 is the development stage of dammed lake outflow; S3 is the stage of dammed lake water level drop; H 堰塞湖库水位 is the dammed lake reservoir water level; H 引流槽底板高程 is the elevation of the drainage trench bottom plate; Q 引流槽过流量 is the drainage trench outflow Q 上游总来水量 Q = upstream total inflow In step 3), the downstream discharge control and dispatch of S2 stage adopts the following optimization model, as shown in formula (3): In formula (3), Q 引流槽最大过流能力 (t) is a function of time of the maximum flow capacity of the drainage channel; Q 引流槽最大抗冲刷流量 is the maximum scour-resistant flow of the drainage channel; Q 引流槽水力最大过流量 (t) is a function of time of the maximum hydraulic flow of the drainage channel; C 堰塞体 is the material composition of the dam; d 50 is the median particle size of the material composition of the dam; B 引流槽 is the width of the bottom of the drainage channel; θ 引流槽 is the angle of the side slope of the drainage groove; H 堰前水深 is the water depth in front of the dam body; Q 消能安全最大流量 is the maximum flow for energy dissipation safety; Q 上游水库 (t) is a function of the time-varying discharge of the upstream reservoir of the dammed lake; Q 不漫坝 (t) is a function of the time-varying discharge of the upstream reservoir without dam overflow; Q 产汇流 (t) is a function of the time-varying runoff of the upstream dammed lake.

2. The three-stage coordinated dispatching method for emergency treatment of dammed lakes upstream of reservoirs, according to claim 1, characterized in that, In step 2), the downstream discharge control and dispatch of S1 stage adopts the following optimization model, as shown in formula (2): In formula (2), T 施工 is the target function, V(H 引流槽底板高程 ) is the total storage capacity of the dammed lake when the water level rises to the elevation of the chute floor; V 初 is the initial total storage capacity of the dammed lake; Q 产汇流 (t) is a function of the time-varying runoff yield of the upstream of the dammed lake; Q 上游水库 (t) is a function of the time-varying discharge of the upstream reservoir; and Q 不漫坝 (t) is a function of the time-varying discharge of the upstream reservoir under the condition of not overtopping the dam.

3. The upstream reservoir three-stage collaborative dispatch method for dammed lake emergency disposal according to claim 2, characterized in that: Q 产汇流 (t) = R(t) + M(t) In the formula, R(t) is a function of the upstream reservoir rainfall runoff changing with time, and M(t) is a function of the upstream reservoir snowmelt supply changing with time; Q 上游水库 (t) = min [E(t), F(t)] In the formula, E(t) is a function of the upstream reservoir safe discharge changing with time, and F(t) is a function of the upstream reservoir safe inflow changing with time; E(t) = c - [N(t) - N0] 0.5 In the formula, c is the discharge coefficient of the upstream reservoir, N is the current water level of the upstream reservoir, and N0 is the upstream reservoir starting discharge water level.

4. The three-stage coordinated dispatching method of the emergency treatment upstream reservoir of dammed lake according to claim 1, characterized in that, In step 4), the downstream discharge control and dispatch of S3 stage adopts the following optimization model, as shown in formula (4): In formula (4), Q 上游水库 (t) is a function of the time-varying discharge of the upstream reservoir of the dammed lake; Q 不漫坝 (t) is a function of the time-varying discharge of the upstream reservoir under the condition of not overtopping the dam.

5. A system for performing the three-stage coordinated dispatching method of an upstream reservoir for emergency treatment of dammed lakes according to any one of claims 1-4, characterized in that, Comprising: a data acquisition module for monitoring the dammed lake reservoir water level H in real time 堰塞湖库水位 , the drainage groove bottom elevation H 引流槽底板高程 , the drainage groove flow Q 引流槽过流量 , the upstream total inflow Q 上游总来水量 and the dammed body geological parameters C 堰塞体 and d 50 ; A stage judgment module connected with the data collection module, which constructs a three-stage quantification model based on monitoring data, and judges the current dispatch stage to be the water level rising initial stage S1, the flow development stage S2, or the water level falling stage S3; An optimization control module comprising: S1 control unit, configured to calculate, based on an S1 stage discharge flow optimization model, a minimum discharge flow satisfying a dam non-flooding constraint of an upstream reservoir and maximizing a rescue construction time T 施工 ; An S2 control unit for calculating the maximum allowable downstream discharge satisfying the constraint of the dammed body not being destabilized due to excessive flow causing erosion based on the S2 stage downstream discharge optimization model; An S3 control unit for calculating the minimum downstream discharge satisfying the constraint of the upstream reservoir not overtopping based on the S3 stage downstream discharge optimization model; An execution module connected with the optimization control module, which adjusts the opening state of the upstream reservoir discharge facility in real time according to the optimization results of each stage, and realizes precise control of flow; A dynamic feedback module for updating the stage judgment result according to real-time monitoring data, and triggering the optimization control module to recalculate the downstream discharge strategy, so as to ensure the dynamic balance between the stability of the dammed body and the risk of dam break.

6. The dammed lake emergency treatment upstream reservoir three-stage coordinated dispatching system according to claim 5, characterized in that, The data collection module comprises a water level sensor, a flowmeter, a geological detector, and a data fusion processor, which are used to realize real-time collection and calibration of multi-source data.

7. The dammed lake emergency treatment upstream reservoir three-stage coordinated dispatching system according to claim 5, characterized in that, The dynamic feedback module predicts the water level change trend of the dammed lake through a machine learning algorithm, and dynamically adjusts the stage judgment threshold.

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