Continuous flood routing forecasting and operation method and system for multi-blockage long-river system reservoir group

Abstract

A continuous flood routing forecasting and operation method and system for a multi-blockage long-river system reservoir group. The method comprises: on the basis of upstream-downstream hydraulic connections and river channel composition characteristics, analyzing and quantitatively characterizing the physical structure of a cascade reservoir group system, and disassembling a multi-blockage long-river system into a river-reservoir system consisting of river channels, reservoirs and basic river channel units; generalizing upstream-downstream relationships in each component unit of the system, and quantifying waveform characteristics thereof, so as to establish flood routing process equations for upstream and downstream of a dam thereof; and on the basis of historical operation schemes of reservoirs in the component units, extracting and quantifying operation rules to realize dynamic mutual feedback calculation between operation processes and flood routing under different operation modes, and sequentially connecting the component units in series, so as to implement continuous calculation of the multi-blockage long-river system. A flood routing process under the impact of reservoir operation is quantified to realize continuous automatic calculation of a multi-blockage long-river system, thereby providing important technical support for rapid and accurate flood forecasting of basin floods under the impact of water engineering projects.

Description

Multi-blocking long river system reservoir group flood continuous evolution prediction scheduling method and system TECHNICAL FIELD

[0001] The present application relates to the technical field of hydrology and water resources prediction and scheduling, in particular to a multi-blocking long river system reservoir group flood continuous evolution prediction scheduling method and system. BACKGROUND

[0002] Accurate reservoir inflow prediction is an important basis for realizing fine and accurate reservoir scheduling and scientific and rapid decision-making. However, reservoir regulation changes the natural connectivity of the flood, forming a complex river and reservoir system connected by multiple river channels, reservoirs and river channel basic units in series and parallel, and the original natural river system gradually evolves into a new pattern of multiple blockages, the continuity of flood evolution is destroyed, and the prediction and scheduling of cascade reservoirs face the great challenge of continuous evolution calculation of reservoir inflow process.

[0003] In the past, single reservoir scheduling mainly relied on scheduling rules and expert experience to solve the continuity problem of flood evolution; however, this technical approach is difficult to apply to joint operation of reservoirs and long river system continuous calculation requirements, and it is urgent to find a new solution to crack the multi-blocking problem. Therefore, how to break through the multi-blocking nodes of the long river system and realize the "one card pass" of cascade reservoir inflow continuous calculation is a key problem currently faced by the field of hydrological prediction and reservoir scheduling.

[0004] Among them, "one card pass" means that the flood evolution process of cascade reservoirs can be calculated continuously one by one, and the flood propagates to a reservoir, and the scheduling rules of the reservoir can be called to complete the prediction calculation and continue to evolve downstream. SUMMARY

[0005] The present application aims to overcome the shortcomings of the prior art and provides a multi-blocking long river system cascade reservoir group continuous evolution prediction scheduling method and system, which analyzes the system structure of cascade reservoirs, quantifies the flood evolution process under the influence of reservoir scheduling and operation, and realizes continuous automatic calculation of multi-blocking long river system.

[0006] To achieve the above purpose, the present application adopts the following technical scheme:

[0007] The present application provides a multi-blocking long river system cascade reservoir group continuous evolution prediction scheduling method, comprising:

[0008] S1, analyze the physical structure of the cascade reservoir group system, quantitatively describe the composition characteristics of the river and reservoir system, and determine the equation as: R={r1, r2, r3,..., r i ,...,r N};

[0009] wherein, R is a river reservoir system; r i is the basic component unit of the i-th system, which is a multi-dimensional vector representing the location, the number of upstream and downstream units, and the dispatching rules. The dimension is determined by the specific number of representation factors. i is the serial number of the basic component unit of the system, i = 1, 2, …, N. N is the number of basic component units, i.e. the number of river channels, reservoirs, and river channel basic units that can be analyzed in the system.

[0010] S2, based on the composition characteristics of the river and reservoir system, generalizing the upstream and downstream hydraulic connection of each component unit of the system, and quantifying the waveform characteristics, respectively establishing the dam upstream and dam downstream flood evolution process equations:

[0011] wherein, is the reservoir inflow of the i-th basic component unit of the system at the t-th time, m 3 / s; is the inflow of the m-th upstream unit of the i-th basic component unit at the t-th time, m3 / s, wherein m = 1, 2, …, M; is the reservoir outflow of the m-th upstream unit at the t-th time, m 3 / s; is the influence of the reservoir outflow of the m-th upstream unit on the inflow of the unit reservoir section at the t-th time after the river evolution and the inflow into the interval, m 3 / s; is the flood evolution process equation of the basic waveform characteristics, and the calculation result is the inflow of the reservoir of the i-th basic component unit at the t-th time after the reservoir outflow of the m-th upstream unit inflow into the interval propagates;

[0012] S3, for each component unit, quantifying the reservoir dispatching rules;

[0013] S4, according to the dispatching target of the reservoir in each component unit, adjusting the reservoir dispatching mode, realizing the dynamic mutual feedback calculation of the dispatching process and the flood evolution;

[0014] S5, sequentially completing the evolution calculation of each component unit, realizing the series connection through the upstream and downstream hydraulic connection and the evolution process equation, and completing the overall calculation of the river system.

[0015] Further, in S1, the composition characteristics of the river and reservoir system refer to the series-parallel connection relationship and the connection mode of the river channel, the reservoir, and the river channel basic component unit. The series-parallel connection relationship includes series connection, parallel connection, and mixed connection. The connection mode includes the head-to-tail connection of the upstream and downstream two basic component units and the connection through the natural river channel.

[0016] Further, in the S2, the waveform features include motion wave, diffusion wave, inertia wave, dynamic wave and broken wave; according to the occurrence frequency and influence proportion, the waveform features of the upstream of the dam include three types of motion wave, dynamic wave and mixed wave; the waveform features of the downstream of the dam include three types of motion wave, dynamic wave and broken wave.

[0017] Further, in the S3, the step of quantifying the reservoir scheduling rule is:

[0018] S31, collate and analyze the requirements of the existing scheduling rules and scheduling operation plans of the reservoir, combine the basic information and characteristic parameters of the reservoir, and determine the reservoir scheduling operation envelope, that is, under the requirements of different operation water levels, power generation flow and discharge flow, the expression is:

[0019] Wherein, Γ is the reservoir scheduling operation boundary vector, representing the operation envelope at different times and different parameters; k is the parameter; is the limit value of the reservoir water level at the t time; is the limit value of the reservoir power generation at the t time; is the limit value of the reservoir water level at the t time; is the limit value of the kth parameter at the t time;

[0020] S32, realize the semanticization of the reservoir scheduling operation boundary conditions by using computer language;

[0021] S33, within the allowable scheduling operation range of the reservoir, adopt clustering, classification and parallel analysis methods, and carry out scheduling scenario analysis for the main functions of the reservoir to form a scheduling scenario library: Obj=f(x1,x2,...,x n );

[0022] Wherein, Obj is the main target of the reservoir scheduling operation; f() is the calculation formula of the scheduling target; x n is the main factor affecting and evaluating the scheduling target;

[0023] S34, for different scheduling targets, based on different scheduling scenarios, calculate the information gain, determine the contribution degree of different scheduling requirements under different target orientations and different scheduling scenarios, select the optimal feature as the scheduling process of the reservoir, and complete the current reservoir water level and discharge flow process calculation;

[0024] The information gain calculation step is: FOIL(S,g)=P(D)-P(D|A);

[0025] Wherein, P(D) is the overall information entropy of a certain scheduling target; J is the classification of different scheduling scenarios under the same scheduling target; j is the serial number of a certain scheduling scenario under the same scheduling target, j = 1, 2, …, J; D is the total number of samples of the scheduling scenario; D m is the total number of samples of a certain type of scheduling scenario; D mj is the number of scheduling scenario samples of a certain type of scheduling target in a certain type of scheduling scenario; C j is the number of scheduling scenario samples of a certain type of scheduling target; P(D|A) is the conditional entropy of A scheduling scenario under the same scheduling target; FOIL(S, g) is the information gain.

[0026] Further, in the S4, the specific steps of the dynamic mutual feedback calculation of the scheduling process and the flood evolution are as follows:

[0027] S41, setting the scheduling target of the reservoir in each component unit;

[0028] S42, adjusting the scheduling mode of the reservoir in turn from large to small according to the size of the gain information of different scheduling scenarios under the scheduling target, and obtaining a scheduling process for each scheduling mode;

[0029] S43, based on the corresponding inflow, outflow and reservoir water level of the scheduling process, respectively calculating the flood wave propagation process of the upstream and downstream of the dam;

[0030] S44, judging whether the water propagation process is consistent with the expected scheduling target;

[0031] If consistent, continue to calculate downstream component units;

[0032] If not consistent, adjust the scheduling mode and repeat the S42 until consistent.

[0033] Further, in the S5, the overall calculation of the river system is completed, specifically as follows:

[0034] S51, using the steps of the S41 to the S44, completing the reservoir scheduling process and the calculation of the flood evolution of the upstream and downstream of the dam in each component unit one by one;

[0035] S52, calling the flood wave evolution calculation equation in turn along the water flow direction, sequentially connecting the component units and the river system calculation section water level and flow process from top to bottom, obtaining the overall evolution calculation result of the river system and outputting.

[0036] Further, the multi-block long river system cascade reservoir group continuous evolution prediction scheduling system comprises at least one processor and a memory in communication connection with the at least one processor; wherein,

[0037] The memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to realize the multi-block long river system cascade reservoir group continuous evolution prediction scheduling method.

[0038] The beneficial effects of the present application are: according to the upstream and downstream hydraulic connection and the river channel composition characteristics, the cascade reservoir group system physical structure is analyzed and quantitatively described, and the multi-block long river system is disassembled into a river, reservoir system composed of a river channel, a reservoir and a river channel basic unit; the upstream and downstream relationship of each component unit of the system is generalized and the waveform characteristics are quantified, and the dam upstream and dam downstream flood evolution process equation is established; based on the historical scheduling scheme of the reservoir in the component unit, the scheduling rule is extracted and quantified, the dynamic mutual feedback calculation of the scheduling process and the flood evolution under different scheduling modes is realized, each component unit is sequentially connected, and then the multi-block long river system continuous calculation is completed. Through the technology, the cascade reservoir group system structure can be scientifically analyzed, the flood evolution process under the influence of reservoir scheduling operation can be quantified, the multi-block long river system continuous automatic calculation is realized, and important technical support is provided for rapid and accurate prediction of basin flood under the influence of water conservancy projects. BRIEF DESCRIPTION OF DRAWINGS

[0039] Fig. 1 is a flowchart of the multi-block long river system cascade reservoir group continuous evolution prediction scheduling method;

[0040] Fig. 2 is a schematic diagram of the cascade reservoir group system composition structure in the lower reaches of the Jinsha River and the Three Gorges;

[0041] Fig. 3 is a schematic diagram of the basic unit composition of the river, reservoir system in the embodiment;

[0042] Fig. 4 is a schematic diagram of the reservoir scheduling operation process of unit 1 in the embodiment;

[0043] Fig. 5 is a schematic diagram of the reservoir scheduling operation process of unit 2 in the embodiment;

[0044] Fig. 6 is a schematic diagram of the reservoir scheduling operation process of unit 3 in the embodiment;

[0045] Fig. 7 is a schematic diagram of the reservoir scheduling operation process of unit 4 in the embodiment;

[0046] Fig. 8 is a schematic diagram of the reservoir scheduling operation process of unit 5 in the embodiment. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical scheme and advantages of the present application more clear and explicit, the present application will be further described in detail below with reference to the drawings. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0048] Please refer to Fig. 1, the multi-block long river system cascade reservoir group continuous evolution prediction scheduling method, comprising:

[0049] S1, analyze the physical structure of the cascade reservoir group system, quantitatively describe the composition characteristics of the river and reservoir system, and determine the equation: R = {r1, r2, r3,..., r i ,...,r N};

[0050] Wherein, R is the river and reservoir system; r i is the i-th basic component unit of the system, which is a multi-dimensional vector representing the location, number of upstream and downstream units, and dispatching rules. The dimension is determined by the specific number of representation factors; i is the serial number of the basic component unit of the system, i = 1, 2,..., N; N is the number of basic component units, i.e. the number of river channels, reservoirs and river channel basic units in the system that can be analyzed;

[0051] S2, based on the composition characteristics of the river and reservoir system, generalizing the upstream and downstream hydraulic connection of each component unit of the system, and quantifying the waveform characteristics, respectively establishing the dam upstream and dam downstream flood evolution process equation:

[0052] Wherein, is the reservoir inflow of the i-th basic component unit of the system at the t-th moment, m 3 / s; is the inflow of the m-th upstream unit of the i-th basic component unit at the t-th moment, m3 / s, where m = 1, 2,..., M; is the reservoir outflow of the m-th upstream unit at the t-th moment, m 3 / s; is the influence of the reservoir outflow of the m-th upstream unit on the inflow of the unit reservoir cross section at the t-th moment after the river evolution and the inflow of the interval, m 3 / s; is the basic waveform characteristic flood evolution process equation, and the calculation result is the inflow of the reservoir of the i-th basic component unit at the t-th moment after the inflow of the interval of the reservoir outflow of the m-th upstream unit propagates to the reservoir;

[0053] S3, for each component unit, quantize the reservoir dispatching rules;

[0054] S4, according to the dispatching target of the reservoir in each component unit, adjust the reservoir dispatching mode, realize the dynamic mutual feedback calculation of the dispatching process and the flood evolution;

[0055] S5, complete the evolution calculation of each component unit in turn, realize the series connection through the upstream and downstream hydraulic connection and the evolution process equation, and complete the overall calculation of the river system.

[0056] The S1, the river, the reservoir system composition characteristic refers to the series-parallel connection relationship and the connection mode of the river channel, the reservoir and the basic composition unit of the river channel; the series-parallel connection relationship includes three types of series connection, parallel connection and mixed connection; the connection mode includes two types of head-to-tail connection of the upper and lower basic composition units and connection through the natural river channel.

[0057] The S2, the waveform feature includes motion wave, diffusion wave, inertia wave, dynamic wave and broken wave; according to the appearance frequency and the influence proportion, the waveform features of the dam upstream include three types of motion wave, dynamic wave and mixed wave; the waveform features of the dam downstream include three types of motion wave, dynamic wave and broken wave.

[0058] The S3, the steps of quantifying the reservoir dispatching rule are:

[0059] S31, the requirements of the existing dispatching rules and dispatching operation plans of the reservoir are sorted and analyzed, the reservoir dispatching operation envelope is determined in combination with the basic information and characteristic parameters of the reservoir, that is, the expression is:

[0060] Wherein, Γ is a reservoir dispatching operation boundary vector, representing the operation envelope at different times and different parameters; k is a parameter; is the limit value of the reservoir water level at the t time; is the limit value of the reservoir power generation at the t time; is the limit value of the reservoir water level at the t time; is the limit value of the kth parameter at the t time;

[0061] S32, the semanticization of the reservoir dispatching operation boundary condition is realized by using computer language;

[0062] S33, in the allowable dispatching operation range of the reservoir, the clustering, classification and parallel analysis method is used to carry out dispatching scenario analysis for the main function of the reservoir, and a dispatching scenario library is formed: Obj=f(x1,x2,...,x n );

[0063] Wherein, Obj is the main target of the reservoir dispatching operation; f() is the calculation formula of the dispatching target; x n is the main factor affecting and evaluating the dispatching target;

[0064] S34, for different dispatching targets, based on different dispatching scenarios, the information gain is calculated, the contribution degree of different dispatching requirements under different target orientations and different dispatching scenarios is determined, the optimal feature is selected as the dispatching process of the reservoir, and the current reservoir water level and discharge process calculation is completed;

[0065] The information gain calculation step is:

[0066] FOIL(S,g)=P(D)-P(D|A);

[0067] Wherein, P(D) is the information entropy of a certain dispatching target; J is the classification of different dispatching scenarios under the same dispatching target; j is the serial number of a certain dispatching scenario under the same dispatching target, j=1, 2, …, J; D is the total number of samples of the dispatching scenario; D m is the total number of samples of a certain type of dispatching scenario; D mj is the number of dispatching scenario samples of a certain type of dispatching target in a certain type of dispatching scenario; C j is the number of dispatching scenario samples of a certain type of dispatching target; P(D|A) is the conditional entropy of A dispatching scenario under the same dispatching target; FOIL(S,g) is the information gain.

[0068] In the S4, the specific steps of the dynamic mutual feedback calculation of the dispatching process and the flood evolution are as follows:

[0069] S41, setting the dispatching target of the reservoir in each component unit;

[0070] S42, adjusting the dispatching mode of the reservoir in turn from large to small according to the size of the gain information of different dispatching scenarios under the dispatching target, and obtaining a dispatching process for each dispatching mode;

[0071] S43, based on the corresponding inflow, outflow and reservoir water level of the dispatching process, respectively calculating the flood wave propagation process of the upstream and downstream of the dam;

[0072] S44, judging whether the water propagation process is consistent with the expected dispatching target;

[0073] If consistent, continue to calculate downstream component units;

[0074] If not consistent, adjust the dispatching mode and repeat the S42 until consistent.

[0075] In the S5, the overall calculation of the river system is completed, specifically as follows:

[0076] S51, using the steps of the S41 to the S44, completing the reservoir dispatching process and the calculation of the flood evolution of the upstream and downstream of the dam in each component unit one by one;

[0077] S52, calling the flood wave evolution calculation equation in turn along the water flow direction, sequentially connecting the component units and the river system calculation cross section water level and flow process from top to bottom, obtaining the overall evolution calculation result of the river system and outputting.

[0078] The application further provides a multi-blocking long river system cascade reservoir group continuous evolution prediction scheduling system, comprising at least one processor and a memory in communication connection with the at least one processor; wherein the memory stores instructions executable by the processor, and the instructions are used to be executed by the processor to implement a multi-blocking long river system cascade reservoir group continuous evolution prediction scheduling method.

[0079] Taking the cascade reservoir group system of the lower reaches of the Jinsha River in the upper reaches of the Yangtze River and the Three Gorges as an example, the continuous evolution calculation of the river system flood prediction scheduling is carried out to verify the feasibility and effectiveness of the method.

[0080] The cascade reservoir group system of the lower reaches of the Jinsha River in the upper reaches of the Yangtze River and the Three Gorges is plotted in FIG. 1, and as shown in FIGS. 2 and 3, the research object in the embodiment can be divided into five basic units of river channels, reservoirs and river channels, wherein the units 2 and 3, and the units 3 and 4 present different connection modes under different water levels and different flow levels of the reservoirs; for example, when the water level of the Xiluodu Reservoir in the unit 3 is high, the unit 2 and the unit 3 are connected in a head-to-tail manner, and when the water level is low, the unit 2 and the unit 3 are connected by a natural river channel; the dam upstream and the dam downstream of the Three Gorges Reservoir in the unit 5 present different flood wave characteristics in different water levels, different flow levels and different scheduling processes.

[0081] When the scene flood occurs, the cascade reservoir group system performs the flood control scheduling target, and the method is used for the prediction scheduling calculation of the basic units from top to bottom along the water flow direction, to obtain the continuous calculation results of the cascade reservoir group system of the lower reaches of the Jinsha River and the Three Gorges.

[0082] As shown in Tables 1 and 8, the specific scheduling processes of the reservoirs in each basic unit are shown in FIGS. 4 to 8. In the table, the water level of the reservoir is in meters (m), the inflow and outflow of the reservoir are both in cubic meters per second (m / s). 3

[0083] Table 1: Specific scheduling process information table of unit 1 to unit 3

[0084] Table 2: Specific scheduling process information table of unit 1 to unit 3

[0085] Table 3: Specific scheduling process information table of unit 1 to unit 3

[0086] Table 4: Specific scheduling process information table of unit 1 to unit 3

[0087] Table 5: Specific scheduling process information table of unit 4 to unit 5

[0088] Table 6: Specific scheduling process information table of unit 4 to unit 5​

[0089] Table 7 unit 4~unit 5 specific scheduling process information table

[0090] Table 8 unit 4~unit 5 specific scheduling process information table

[0091] As shown in FIGS. 4 to 8, the method of the present application adopts the calculation idea of unit division, waveform feature quantization, evolution equation calculation and scheduling rule extraction, can quickly realize the flood forecasting and scheduling continuous calculation of river, reservoir and river basic unit composed of river, reservoir system and the calculation of flood propagation and reservoir scheduling mutual feedback, obtains the reservoir group forecasting and scheduling process under the premise of fully considering the scheduling target and reservoir scheduling operation constraint, also proves the feasibility and effectiveness of the method. Therefore, the method has superior application effect in the flood forecasting and scheduling of multi-blocking long river system basin.

[0092] According to the above analysis, the method of the present application has strong practicability, and can effectively solve the problem of automatic continuous calculation of river flood forecasting and scheduling under the condition of multi-blocking of reservoir group.

[0093] In summary, the present application has the advantages of practicability and operability, can quickly realize the automatic continuous calculation of multi-blocking long river system, obtain the forecasting and scheduling results of important sections, and provide a more scientific and efficient new method for basin hydrological forecasting and reservoir scheduling.

[0094] The above-described embodiments only express the implementation of the present application, and the description is more specific and detailed, but it should not be understood as limiting the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be the appended claims.

Claims

1. A method for predicting and scheduling flood continuous evolution of a multi-blocking long river system reservoir group, characterized in that, The application relates to a method for calculating a flood routing process of a river-reservoir system. S1, analyzing a physical structure of a cascade reservoir group system, quantitatively describing a river-reservoir system composition characteristic, and determining an equation as follows: R＝{r1,r2,r3,...,r i ,...,r N}； wherein R is a river reservoir system; r i is the i-th system basic component unit, which is a multi-dimensional vector representing the location, the number of upstream and downstream units, and the scheduling rule. The dimension is determined by the specific number of representation factors. i is the serial number of the system basic component unit, i = 1, 2, …, N; N is the number of basic component units, i.e. the number of river channels, reservoirs, and river channel basic units that can be analyzed in the system. S2, based on the composition characteristics of the river and reservoir system, the upstream and downstream hydraulic connection of each component unit of the system is generalized, and the waveform characteristics are quantified, and the dam upstream and downstream flood evolution process equations are established respectively: wherein m is the inflow of the reservoir at the tth time of the i th basic unit of the system 3 / s; for the mth upstream unit of the i th system basic constituent unit at the t th time, m 3 / s, where m = 1, 2,..., M; Qm(t) is the reservoir outflow at the tth time of the mth upstream unit, m 3 / s; mth upstream unit reservoir outflow flow through the river channel evolution and into the section of the unit reservoir cross-section of the flow at time t affect m 3 / s; The equation is a flood routing process equation of a basic waveform characteristic, and a calculation result is an inflow of a reservoir of an i-th system basic composition unit at a t time point of a water propagation from a reservoir outflow of an m-th upstream unit to an inflow interval of the reservoir; S3, quantifying a reservoir dispatching rule for each composition unit; S4, adjusting a reservoir dispatching mode according to a dispatching target of the reservoir in each composition unit, realizing dynamic mutual feedback calculation of a dispatching process and the flood routing process; S5, sequentially completing the routing calculation of each composition unit, realizing series connection through upstream and downstream hydraulic connection and the routing process equation, and completing the whole river system calculation.

2. The flood continuous evolution prediction and scheduling method of the multi-break long river system reservoir group according to claim 1, characterized in that: In the S1, the river-reservoir system composition characteristic refers to series-parallel connection relationship and connection mode of a river channel, a reservoir and a basic composition unit of the river channel; the series-parallel connection relationship includes three types of series connection, parallel connection and mixed connection; and the connection mode includes two types of tail-to-head connection of two basic composition units and natural river channel connection.

3. The flood continuous evolution prediction and scheduling method of the multi-break long river system reservoir group according to claim 2, characterized in that, In the S2, the waveform characteristic includes a motion wave, a diffusion wave, an inertia wave, a dynamic wave and a break wave; according to an occurrence frequency and an influence proportion, the waveform characteristic of the dam upstream includes three types of the motion wave, the dynamic wave and the mixed wave; and the waveform characteristic of the dam downstream includes three types of the motion wave, the dynamic wave and the break wave.

4. The flood continuous evolution prediction and scheduling method of the multi-break long river system reservoir group according to claim 3, characterized in that, In the S3, the steps of quantifying the reservoir dispatching rule are as follows: S31, collate and analyze the requirements of the existing reservoir regulation rules and regulation operation plan, combine the reservoir basic information and characteristic parameters, determine the reservoir operation envelope, that is, under the requirements of different operation water level, power generation flow and discharge flow, the expression is: Wherein, Γ is the reservoir operation boundary vector, representing the operation envelope of different time and different parameters; k is the parameter; a limit value of the water level of the reservoir at the t-th time; a limit value for the power generation of the reservoir at the t-th time point; a limit value of the water level of the reservoir at the t-th time; It is a limiting value of the k-th parameter at the t time point; S32, realizing semanticization of a reservoir dispatching operation boundary condition by using a computer language; S33, in a reservoir dispatching operation range, a clustering, classification and parallel analysis method is used to carry out dispatching scene analysis for a main function of the reservoir, and a dispatching scene library is formed; Obj = f(x1, x2,..., x n ); Wherein, Obj is the main target of reservoir operation; f(·) is the calculation formula of the operation target; x n is the main factor affecting and evaluating the operation target; S34, for different dispatching targets, based on different dispatching scenes, information gain is calculated, contribution degrees of different dispatching requirements under different target orientations and different dispatching scenes are determined, an optimal feature is selected as a dispatching process of the reservoir, and a current reservoir water level and outflow process calculation is completed; The information gain calculation step is: FOIL (S, g) = P (D) - P (D|A); Wherein, P(D) is the overall information entropy of a certain scheduling target; J is the classification of different scheduling scenarios under the same scheduling target; j is the serial number of a certain scheduling scenario under the same scheduling target, j = 1, 2, …, J; D is the total number of samples of scheduling scenarios; D m is the total number of samples of a certain type of scheduling scenario; D mj is the number of scheduling scenario samples of a certain type of scheduling target in a certain type of scheduling scenario; C j is the number of scheduling scenario samples of a certain type of scheduling target; P(D|A) is the conditional entropy of A scheduling scenario under the same scheduling target; FOIL(S, g) is the information gain.

5. The flood continuous evolution prediction and scheduling method of the multi-break long river system reservoir group according to claim 4, characterized in that: In the S4, the specific steps of the dynamic mutual feedback calculation of the dispatching process and the flood routing process are as follows: S41, setting a dispatching target of the reservoir in each composition unit; S42, adjusting the dispatching mode of the reservoir according to a size of different dispatching scene gain information under the dispatching target from large to small, and obtaining a dispatching process for each dispatching mode; S43, based on the inflow, the outflow and the reservoir water level corresponding to the dispatching process, a dam upstream and dam downstream flood wave propagation process is respectively calculated; S44, judging whether the water routing process is consistent with the expected dispatching target; If consistent, the calculation is continued to a downstream composition unit; If inconsistent, the dispatching mode is adjusted, and the S42 is repeated until consistent.

6. The flood continuous evolution prediction and scheduling method of the multi-break long river system reservoir group according to claim 5, characterized in that, In the S5, the whole river system calculation is completed, and specifically, S51, the steps of the S41 to the S44 are used to complete the reservoir dispatching process and the dam upstream and dam downstream flood routing calculation in each composition unit one by one; S52, in the direction of the water flow, in turn, call the flood wave propagation equation, from top to bottom in turn linked to form a unit and river system calculation cross-section water level, flow process, get the whole evolution of the river system calculation results and output.

7. A multi-blocking long river system reservoir group flood continuous evolution prediction and dispatching system, characterized in that, Comprise: At least one processor; And the memory connected with at least one said processor;Wherein, The memory stores instructions executable by the processor, the instructions are executed by the processor to implement the multi-blocking long river system cascade reservoir group continuous evolution prediction scheduling method of any one of claims 1 to 6.

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