A reservoir gate opening degree decision method, device, equipment and storage medium

Abstract

This invention relates to the field of reservoir flood discharge decision-making technology, and discloses a method, device, equipment, and storage medium for reservoir gate opening decision-making. The method first uses historical vibration data from multiple monitoring points under multiple gate opening conditions to quantify the impact of flood discharge vibration into characteristic vibration energy using a characteristic vibration energy assessment method. Then, a structured database linking gate opening conditions with characteristic vibration energy is constructed to easily reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on the characteristic vibration energy for each gate opening condition. Based on this, multiple candidate gate opening schemes are predicted, and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization, ensuring that the final output of the optimal gate opening scheme significantly reduces vibration interference caused by flood discharge to surrounding buildings and residential areas.

Description

Technical Field

[0001] This invention relates to the field of reservoir flood discharge decision-making technology, specifically to a reservoir gate opening decision-making method, device, equipment, and storage medium. Background Technology

[0002] Large reservoir groups are major national infrastructure projects for flood control, disaster reduction, and improving water resource utilization efficiency. Their operation involves multi-dimensional data and information, and the mutual influence and constraints between reservoirs and different scheduling needs are complex, which places extremely high demands on the precise control of reservoir gates.

[0003] The reservoir gate control methods disclosed in related technologies use a relatively single numerical value as the control index of the dam. However, the single-parameter reservoir gate control methods disclosed in related technologies have significant random fluctuations, which can easily lead to overly sensitive indices, distorted analysis of operational patterns, and difficulty in optimizing the gate opening scheme to reduce the vibration hazards to surrounding structures caused by reservoir flood discharge. Summary of the Invention

[0004] This invention provides a method, apparatus, equipment, and storage medium for determining the opening degree of a reservoir gate, in order to solve the problem that reservoir gate control methods in related technologies are difficult to optimize the gate opening scheme and thus reduce the vibration hazards to surrounding buildings caused by reservoir flood discharge.

[0005] In a first aspect, the present invention provides a method for determining the opening degree of a reservoir gate, the method comprising: Based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, the characteristic vibration energy under the corresponding gate opening conditions is obtained using the characteristic vibration energy assessment method. By integrating the characteristic vibration energy under multiple gate opening conditions and combining the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy, a structured database is constructed. Based on each pre-constructed candidate gate opening scheme, the structured database is used to evaluate them respectively, and the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme are obtained. By combining the characteristic vibration energy prediction results of multiple candidate gate opening schemes, an evaluation method is used to evaluate and select the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and output as the optimal gate opening scheme.

[0006] Through the above implementation method, firstly, based on historical vibration data from multiple monitoring points under multiple gate opening conditions, a characteristic vibration energy assessment method is used to quantify the impact of flood discharge vibration into characteristic vibration energy. Then, by constructing a structured database that associates gate opening conditions with characteristic vibration energy, it is convenient to reveal the quantitative impact of parameters such as gate opening degree, flow rate, and uniformity on characteristic vibration energy for each gate opening condition. On this basis, multiple candidate gate opening schemes are predicted and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization variables, ensuring that the final output of the optimal gate opening scheme significantly reduces the vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0007] In one optional implementation, the step of obtaining the characteristic vibration energy of the corresponding gate opening condition based on historical vibration monitoring data of multiple monitoring points under multiple gate opening conditions in the target area and using a characteristic vibration energy evaluation method includes: Based on the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the data is processed using a preprocessing method to obtain the preprocessed acceleration time history data at each monitoring point under the corresponding gate opening condition. Based on the preprocessed acceleration time history data of each monitoring point under each gate opening condition, the basic vibration energy index of each monitoring point under the corresponding gate opening condition is obtained by using the root mean square value of acceleration and vector synthesis evaluation method. By combining the basic vibration energy indicators of each monitoring point under each gate opening condition, and using a comprehensive evaluation method, the characteristic vibration energy under the corresponding gate opening condition is obtained.

[0008] Through the above implementation method, the three-directional acceleration time history of each monitoring point under each gate opening condition is preprocessed to improve the data quality of the acquired acceleration time history data. Then, by calculating the root mean square value of each time period and using the vector synthesis evaluation method, the basic vibration energy index used to characterize the average vibration energy is obtained. Finally, by combining the basic vibration energy indexes of multiple monitoring points, the characteristic vibration energy under the corresponding gate opening condition is generated, providing a reliable data basis for subsequent database construction and scheme optimization.

[0009] In one optional implementation, the three-directional acceleration time history data collected from each monitoring point under each gate opening condition within the target area are processed using a preprocessing method to obtain preprocessed acceleration time history data for each monitoring point under the corresponding gate opening condition, including: Based on the zero-point drift in the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the drift correction method is used to obtain the zero-drift corrected acceleration time history data of each monitoring point under the corresponding gate opening condition. Based on the zero-drift corrected acceleration time history data of each monitoring point under each gate opening condition, the filtered velocity signal of each monitoring point under the corresponding gate opening condition is obtained by using the digital bandpass filtering method. Based on the filtered velocity signal of each monitoring point under each gate opening condition, the acceleration time history signal of each monitoring point under the corresponding gate opening condition is obtained by using the first-order difference numerical differentiation method. Based on the acceleration time history signal of each monitoring point under each gate opening condition, the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition is obtained by using the unit conversion method.

[0010] Through the above implementation method, for each gate opening condition and the three-directional acceleration time history data collected at each monitoring point, zero drift correction, bandpass filtering, numerical differentiation and unit conversion are performed in sequence to eliminate the baseline offset of the sensor and the interference of environmental noise, so as to retain the characteristic vibration energy related to the main frequency of flood discharge vibration, and convert the final velocity signal into a unified dimension to ensure the accuracy of subsequent vibration energy calculation.

[0011] In one optional implementation, the characteristic vibration energy under multiple gate opening conditions is integrated, and a structured database is constructed by combining the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy, including: Based on the set of characteristic parameters for each gate opening condition, and combined with the characteristic vibration energy value for the corresponding gate opening condition, the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value is obtained; wherein, the set of characteristic parameters includes: the number and quantity of flood discharge gates, the opening height of each gate, the total flood discharge flow, and the uniformity of gate opening; By combining the set of characteristic parameters for each gate opening condition and the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value, a structured database is constructed.

[0012] Through the above implementation methods, a clear mapping relationship is established between the characteristic parameter set and the characteristic vibration energy value of each gate opening condition, and a structured database is constructed. This facilitates the direct revelation of the influence law of the operating parameters of different gate opening conditions on the characteristic vibration energy, and provides an interpretable decision basis for the subsequent prediction of the characteristic vibration energy prediction results of candidate gate opening schemes.

[0013] In one optional implementation, the evaluation of each pre-constructed candidate gate opening scheme using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme includes: Based on the current inflow rate, water level, downstream flood control requirements, and power generation plan of the reservoir, multiple candidate gate opening schemes are obtained using the candidate scheme construction method. Based on multiple candidate gate opening schemes, and combined with a structured database, the similarity feature parameter evaluation method is used to predict the characteristic vibration energy of each candidate gate opening scheme.

[0014] Through the above implementation method, based on the current reservoir inflow, reservoir water level, downstream flood control requirements, and power generation plan, candidate gate opening schemes are quickly generated using a candidate scheme construction method. The characteristic parameters of each candidate gate opening scheme are matched using a structured database, and the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme are obtained. This enables a rapid quantitative assessment of the vibration impact of each candidate gate opening scheme, providing a direct and reliable basis for comparison in obtaining the optimal gate opening scheme.

[0015] In one optional implementation, the step of comprehensively evaluating the characteristic vibration energy prediction results of multiple candidate gate opening schemes using an evaluation method, selecting the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and outputting it as the optimal gate opening scheme includes: Based on the characteristic vibration energy prediction results of each candidate gate opening scheme and combined with the preset safety constraints, a set of candidate schemes is constructed. The safety constraints include that the opening degree of each gate is less than or equal to the design limit, the total flood discharge is less than or equal to the safe discharge of the downstream river channel, and the reservoir water level change rate is within the allowable range. Based on the set of candidate schemes, the evaluation method is used to compare them to obtain the candidate gate opening schemes corresponding to the predicted minimum operating condition characteristic vibration energy under the safety constraints, and the output is the optimal gate opening scheme.

[0016] Through the above implementation methods, the vibration energy prediction results of each candidate gate opening scheme are combined with the constraints of gate opening degree, total flood discharge flow, and reservoir water level change rate to construct a set of candidate schemes. Then, the characteristic vibration energy is used as the optimization target for comparison, and the gate opening scheme that meets the safety constraints and has the least impact of characteristic vibration energy is selected. In this way, the downstream vibration safety is transformed from passive monitoring to active decision-making variable, realizing the coordinated optimization of flood discharge scheduling and environmental protection.

[0017] In an optional implementation, the method further includes: Based on the optimal gate opening scheme, the vibration energy continuously monitored during actual flood discharge is obtained, and the characteristic vibration energy sequence of each time period during the execution period is obtained. Based on the characteristic vibration energy sequence of each time period during the execution, the actual characteristic vibration energy value of the optimal gate opening scheme is obtained by calculating the arithmetic mean of the sequence during the stable operation period. Based on the actual characteristic vibration energy value of the optimal gate opening scheme, combined with the characteristic vibration energy prediction results, the structured database is updated using the error calculation method to obtain the updated structured database.

[0018] Through the above implementation method, based on the actual vibration data obtained during the optimal gate opening scheme, the characteristic vibration energy of each time period of the optimal gate opening scheme is recalculated to form a characteristic vibration energy sequence for each time period during the execution period. Then, the arithmetic mean of the scheme during the stable operation period is extracted as the actual characteristic vibration energy value of the optimal gate opening scheme. The actual characteristic vibration energy value is then compared with the predicted value in the decision-making stage. The structured database is updated using the error calculation method, thereby completing the incremental update of the structured database. This ensures that the prediction accuracy and decision reliability are gradually improved as the reservoir operating conditions change.

[0019] Secondly, the present invention provides a reservoir gate opening decision device, the device comprising: The data monitoring module is used to obtain the characteristic vibration energy of the corresponding gate opening condition based on the historical vibration monitoring data of multiple monitoring points under multiple gate opening conditions in the target area and the characteristic vibration energy assessment method. The model building module is used to integrate the characteristic vibration energy under multiple gate opening conditions, and combine the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy to build a structured database. The candidate prediction module is used to evaluate each pre-built candidate gate opening scheme using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme. The result filtering module is used to integrate the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluate them using an evaluation method, filter out the candidate gate opening schemes corresponding to the minimum characteristic vibration energy value under the working condition, and output the optimal gate opening scheme.

[0020] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the reservoir gate opening decision method described in the first aspect or any corresponding embodiment thereof.

[0021] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the reservoir gate opening decision method described in the first aspect or any corresponding embodiment thereof.

[0022] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the reservoir gate opening decision method described in the first aspect or any corresponding embodiment. Attached Figure Description

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a schematic diagram of the first type of reservoir gate opening decision method according to an embodiment of the present invention; Figure 2 This is a schematic diagram showing the distribution of monitoring points in the flood discharge impact area of ​​a reservoir dam according to the reservoir gate opening decision method of an embodiment of the present invention; Figure 3 This is a schematic diagram of the second process of the reservoir gate opening decision method according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the third process of the reservoir gate opening decision method according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the fourth process of the reservoir gate opening decision method according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the fifth process of the reservoir gate opening decision method according to an embodiment of the present invention; Figure 7 This is a comparison chart of the characteristic vibration energy prediction results plotted for two candidate gate opening conditions according to the reservoir gate opening decision method of the present invention. Figure 8 This is a structural block diagram of a reservoir gate opening decision device according to an embodiment of the present invention; Figure 9 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0027] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0028] Related technologies utilize a single numerical value as a control indicator for dams or build control models based on historical reservoir operation data to generate reservoir regulation decisions. Specifically, by collecting historical scheduling data such as inflow into the target reservoir, power plant output, upstream and downstream water levels, and gate opening, and using relevant parameters at the beginning of a time period as input and water level at the end of the time period as output, a long short-term memory network is trained to obtain a water level prediction model. Combined with interpretability methods, the influence of each gate opening on the water level is determined, and then the gate opening is adjusted to make the water level meet the requirements and achieve the optimization of the regulation target.

[0029] However, in actual production, the operation of large reservoir groups involves multi-dimensional data and complex scheduling constraints. Using a single characteristic parameter results in significant random fluctuations, which distorts the dam's operating pattern and makes it unsuitable for the complex operating scenarios of large reservoir groups. At the same time, reservoir regulation models in related technologies often focus on the safety and operational efficiency within the reservoir-power station system. During flood discharge, the opening of the gates causes vibrations and noise to downstream buildings or residential areas, which can easily cause interference and potential risks to the structural safety of downstream buildings and the living environment of residents.

[0030] To overcome the deficiencies disclosed in the aforementioned related technologies, this invention provides a reservoir gate opening decision method. First, based on historical vibration data from multiple monitoring points under multiple gate opening conditions, a characteristic vibration energy assessment method is used to quantify the impact of flood discharge vibration into characteristic vibration energy. Then, a structured database linking gate opening conditions with characteristic vibration energy is constructed to easily reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on the characteristic vibration energy for each gate opening condition. Based on this, multiple candidate gate opening schemes are predicted, and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding structures from passive monitoring to active optimization, ensuring that the final optimal gate opening scheme significantly reduces vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0031] According to an embodiment of the present invention, a method for determining the opening degree of a reservoir gate is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] This embodiment provides a method for determining the opening degree of a reservoir gate, which can be used in the control terminal of a reservoir dam. Figure 1 This is a flowchart of a reservoir gate opening decision method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: S101. Based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, the characteristic vibration energy under the corresponding gate opening condition is obtained using the characteristic vibration energy assessment method.

[0033] The target area refers to the buildings or areas that need to be protected within the flood discharge influence range of the reservoir dam, including downstream residential buildings or key parts of the hub structure. Key parts of the hydraulic hub structure include: stilling basin, dam gallery, downstream powerhouse and ship lift.

[0034] The gate opening condition is defined as an independent flood discharge condition by defining each specific gate opening scheme. The characteristic parameters of each gate opening condition include: the gate number and quantity involved in flood discharge, the opening height of each gate, the total flood discharge flow, and the uniformity of gate opening. The same flood discharge flow corresponds to different gate opening conditions.

[0035] The monitoring points are specific target buildings where three-directional vibration sensors are deployed. Examples include the 1st, 4th, and 7th floors of a residential building, and the stilling basin corridor, dam corridor, powerhouse, and ship lift of a corresponding water conservancy project. Vibration signals in the X, Y, and Z directions are collected at each monitoring point, as shown in Table 1. Table 1. Comparison of Monitoring Points and Sensor Characteristics within the Flood Discharge Affected Area of ​​a Reservoir Dam

[0036] For example, refer to Figure 2 As shown, Figure 2 This is a map showing the distribution of monitoring points in the flood discharge impact area of ​​a reservoir dam. Each red dot represents a monitoring point. For example, A represents the cylindrical structure of the ship lift's cabin section, with one set of X, Y, and Z vibration sensors installed on the wall at an elevation of 384.000m; B represents the downstream curtain grouting gallery of the dam, with one set of X, Y, and Z vibration sensors installed on the ground at an elevation of 238.000m; C represents the field dam construction area, with one set of X, Y, and Z vibration sensors installed on the ground, at a depth of 50m, and at a depth of 90m; D represents the Disabled Persons' Federation building, with one set of X, Y, and Z vibration sensors installed on the foundation, first floor, fourth floor, and seventh floor.

[0037] Historical vibration monitoring data consists of vibration velocity time history signals continuously collected by three-directional vibration sensors deployed during the flood discharge period, and acceleration time history data obtained after preprocessing. The sampling rate of historical vibration monitoring data is 80Hz, and 10 to 24 sample time histories are collected every day.

[0038] The characteristic vibration energy assessment method quantifies the collected vibration signals into stable energy indices. It calculates the root mean square values ​​of the X, Y, and Z-direction acceleration data for each monitoring point during each acquisition period, then uses a vector synthesis formula to obtain the basic vibration energy index for each monitoring point. Finally, it takes the arithmetic mean of the basic vibration energy indices for each monitoring point during all periods of stable operation under the same gate opening condition to obtain the characteristic vibration energy value for that condition, which is then determined as the characteristic vibration energy under the gate opening condition.

[0039] Characteristic vibration energy is used to represent the overall average energy level of vibration under a certain gate opening condition.

[0040] S102 integrates the characteristic vibration energy under multiple gate opening conditions, and constructs a structured database by combining the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy.

[0041] A structured database is a database that establishes a one-to-one mapping between the set of characteristic parameters for each gate opening condition and its corresponding characteristic vibration energy value, compiling data records from all historical operating conditions. This database can be directly queried and can also be used to train interpolation or regression prediction models to reveal the influence of different operating parameters on vibration energy.

[0042] S103. Based on each pre-constructed candidate gate opening scheme, an evaluation is performed using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme.

[0043] The candidate gate opening scheme is a set of multiple feasible gate opening schemes generated based on real-time scheduling constraints. Each candidate gate opening scheme includes specific gate combinations, opening degree of each orifice, total flood discharge flow and other operational parameters.

[0044] The evaluation using a structured database involves querying or predicting each candidate gate opening scheme in the structured database. If historical operating conditions with the same or similar characteristic parameters exist, the corresponding characteristic vibration energy is directly read as the predicted value. If no such conditions exist, but the total flood discharge is within the range of the structured database, the characteristic vibration energy prediction result of each candidate gate opening scheme is predicted through interpolation or regression models.

[0045] S104. Based on the predicted characteristic vibration energy of multiple candidate gate opening schemes, an evaluation method is used to evaluate and select the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and output it as the optimal gate opening scheme.

[0046] The evaluation method is a process of comparing and screening the characteristic vibration energy prediction results of multiple candidate gate opening schemes with preset safety constraints, and taking the minimum characteristic vibration energy value under the working condition as the optimization target.

[0047] The minimum characteristic vibration energy value is determined by selecting the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value from all candidate schemes that meet the safety constraints, and then using it as the optimal gate opening scheme.

[0048] The optimal gate opening scheme is the final gate opening scheme output after the above evaluation and screening. It includes the specific opening height of each gate. This scheme can minimize the vibration impact on downstream buildings and residential areas while meeting the flood discharge requirements, and achieve active vibration reduction scheduling.

[0049] The reservoir gate opening decision method provided in this embodiment first uses historical vibration data from multiple monitoring points under multiple gate opening conditions to quantify the impact of flood discharge vibration into characteristic vibration energy using a characteristic vibration energy assessment method. Then, by constructing a structured database that associates gate opening conditions with characteristic vibration energy, it is easy to reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on characteristic vibration energy for each gate opening condition. On this basis, multiple candidate gate opening schemes are predicted and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization variables, ensuring that the final output of the optimal gate opening scheme significantly reduces the vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0050] This embodiment provides a method for determining the opening degree of a reservoir gate, which can be used in the control terminal of a reservoir dam. Figure 3 This is a flowchart of a reservoir gate opening decision method according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps: S301. Based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, the characteristic vibration energy under the corresponding gate opening condition is obtained using the characteristic vibration energy assessment method.

[0051] Specifically, S301 includes: S3011, based on the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the data is processed using a preprocessing method to obtain the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition. S3012, based on the preprocessed acceleration time history data of each monitoring point under each gate opening condition, the basic vibration energy index of each monitoring point under the corresponding gate opening condition is obtained by using the root mean square value of acceleration and vector synthesis evaluation method. S3013, by comprehensively evaluating the basic vibration energy indicators of each monitoring point under each gate opening condition, the characteristic vibration energy under the corresponding gate opening condition is obtained using a comprehensive evaluation method.

[0052] Specifically, the three-directional acceleration time history data collected at the monitoring points are obtained by using vibration sensors installed at each monitoring point to collect the three-directional acceleration time history data under each gate opening condition. As shown in Table 2.

[0053] Table 2. Time history data of three-directional acceleration at the Disabled Persons' Federation building within the flood discharge area of ​​Reservoir B.

[0054] For example, S3011 above includes: a1. Based on the zero-point drift in the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the drift correction method is used to obtain the zero-drift corrected acceleration time history data of each monitoring point under the corresponding gate opening condition. a2, based on the zero-drift corrected acceleration time history data of each monitoring point under each gate opening condition, the filtered velocity signal of each monitoring point under the corresponding gate opening condition is obtained by using the digital bandpass filtering method. a3. Based on the filtered velocity signal of each monitoring point under each gate opening condition, the acceleration time history signal of each monitoring point under the corresponding gate opening condition is obtained by using the first-order differential numerical differentiation method. a4. Based on the acceleration time history signal of each monitoring point under each gate opening condition, the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition is obtained by using the unit conversion method.

[0055] The drift correction method refers to the theoretical output value of the sensor in a static state. Baseline drift is the output value of the sensor deviating from 0 under static conditions without vibration, resulting in a slow and continuous small value shift. The above shift is not the actual vibration of the measured object, but a false signal caused by the sensor's own error. The shift is calculated and eliminated by using the sensor output signal collected before or after the flood discharge when the measured object is in a static and vibration-free period.

[0056] Digital bandpass filtering is a method that applies bandpass filtering to the acquired data within the frequency range of 0.1 to 35 Hz to focus on the main energy frequency band of the flood discharge vibration. The sampling rate of the monitoring instrument in this case is 80 Hz. According to the Nyquist sampling theorem, the highest frequency that the sensor can accurately identify is half of the sampling rate, i.e., 40 Hz. If high-frequency signals above 40 Hz are analyzed, frequency aliasing will occur, leading to signal distortion. Therefore, by setting 35 Hz as the upper limit of the filter, the accuracy of high-frequency signals is ensured.

[0057] The first-order difference numerical differentiation method obtains the acceleration time history by differentiating the filtered velocity signal. Specifically, the first-order difference operation is performed on the filtered velocity signal to convert it into an acceleration time history signal.

[0058] The unit conversion method is a method of converting acceleration units. For example, the unit conversion method satisfies the following: .

[0059] By collecting three-directional acceleration time history data for each gate opening condition and each monitoring point, zero drift correction, bandpass filtering, numerical differentiation and unit conversion are performed sequentially to eliminate sensor baseline offset and environmental noise interference, facilitate the preservation of characteristic vibration energy related to the main frequency of flood discharge vibration, and convert the final velocity signal into a unified dimension to ensure the accuracy of subsequent vibration energy calculation.

[0060] For example, in S3012 above, the root mean square value of acceleration is calculated using the method for calculating the root mean square value of acceleration to obtain the root mean square value of vibration acceleration at each monitoring point under the corresponding gate opening condition, which satisfies the following:

[0061] in, This represents the root mean square of the acceleration in the X direction at a certain monitoring point; This indicates that a certain monitoring point is at the 1st The root mean square of the X-direction acceleration corresponding to each sampling time; This indicates that a certain monitoring point is at the 1st The average acceleration in the X direction at each sampling time; This represents the total number of sampling times at a given monitoring point under the corresponding gate opening condition.

[0062] Based on the above formula, the root mean square of the acceleration in the Y and Z directions of each monitoring point under the corresponding gate opening condition is obtained synchronously.

[0063] In S3012 above, the vector synthesis evaluation method is used to obtain the basic vibration energy index of each monitoring point under the corresponding gate opening condition, which satisfies the following:

[0064] in, A basic indicator representing the vibration energy at a specific monitoring point; This represents the root mean square of the acceleration in the X direction at the corresponding monitoring point; This represents the root mean square of the acceleration in the Y direction at the corresponding monitoring point; This represents the root mean square of the acceleration in the Z direction at the corresponding monitoring point.

[0065] For example, S3013 satisfies the following:

[0066] in, This represents the characteristic vibration energy under the condition of a gate opening. Indicates the first time under the corresponding gate opening condition. Basic indicators of vibration energy at each monitoring point; This indicates the total number of monitoring points.

[0067] By taking the average value of the root mean square vector values ​​in the three directions under the gate opening condition as the characteristic vibration energy under the corresponding gate opening condition, a reliable data basis can be provided for subsequent database construction and scheme optimization.

[0068] By preprocessing the three-directional acceleration time histories of each monitoring point under each gate opening condition, the data quality of the acquired acceleration time histories is improved. Then, by calculating the root mean square value of each time period and using the vector synthesis evaluation method, the basic vibration energy index used to characterize the average vibration energy is obtained. Finally, by combining the basic vibration energy indexes of multiple monitoring points, the characteristic vibration energy under the corresponding gate opening condition is generated, providing a reliable data basis for subsequent database construction and scheme optimization.

[0069] S302 integrates the characteristic vibration energy under multiple gate opening conditions, and constructs a structured database by combining the mapping relationship between each gate opening condition and its corresponding characteristic vibration energy. For details, please refer to [link to database]. Figure 1 S102 of the illustrated embodiment will not be described again here.

[0070] S303: Based on each pre-constructed candidate gate opening scheme, an evaluation is performed using a structured database to obtain the characteristic vibration energy prediction results for the corresponding candidate gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S103 of the illustrated embodiment will not be described again here.

[0071] S304: The characteristic vibration energy prediction results of multiple candidate gate opening schemes are synthesized, and an evaluation method is used to assess and select the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition. This scheme is then output as the optimal gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S104 of the illustrated embodiment will not be described again here.

[0072] The reservoir gate opening decision method provided in this embodiment first uses historical vibration data from multiple monitoring points under multiple gate opening conditions to quantify the impact of flood discharge vibration into characteristic vibration energy using a characteristic vibration energy assessment method. Then, by constructing a structured database that associates gate opening conditions with characteristic vibration energy, it is easy to reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on characteristic vibration energy for each gate opening condition. On this basis, multiple candidate gate opening schemes are predicted and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization variables, ensuring that the final output of the optimal gate opening scheme significantly reduces the vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0073] This embodiment provides a method for determining the opening degree of a reservoir gate, which can be used in the control terminal of a reservoir dam. Figure 4 This is a flowchart of a reservoir gate opening decision method according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: S401: Based on historical vibration monitoring data obtained from multiple monitoring points under various gate opening conditions in the target area, the characteristic vibration energy under the corresponding gate opening condition is obtained using the characteristic vibration energy assessment method. For details, please refer to [link to relevant documentation]. Figure 1 S101 of the illustrated embodiment will not be described again here.

[0074] S402 integrates the characteristic vibration energy under multiple gate opening conditions and constructs a structured database by combining the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy.

[0075] Specifically, S402 above includes: S4021, based on the set of characteristic parameters for each gate opening condition, and combined with the characteristic vibration energy value for the corresponding gate opening condition, obtain the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value; wherein, the set of characteristic parameters includes: floodgate number and quantity, opening height of each gate, total flood discharge flow, and uniformity of gate opening; S4022, by integrating the characteristic parameter set of each gate opening condition and combining the mapping relationship between each characteristic parameter set and the corresponding characteristic vibration energy value, a structured database is constructed.

[0076] By establishing a clear mapping relationship between the characteristic parameter set of each gate opening condition and the characteristic vibration energy value, and constructing a structured database, it is convenient to directly reveal the influence law of the operating parameters of different gate opening conditions on the characteristic vibration energy, and provide an interpretable decision basis for subsequent prediction of the characteristic vibration energy prediction results of candidate gate opening schemes.

[0077] S403: Based on each pre-constructed candidate gate opening scheme, an evaluation is performed using a structured database to obtain the characteristic vibration energy prediction results for the corresponding candidate gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S103 of the illustrated embodiment will not be described again here.

[0078] S404 integrates the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluates them using an evaluation method, selects the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and outputs it as the optimal gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S104 of the illustrated embodiment will not be described again here.

[0079] The reservoir gate opening decision method provided in this embodiment first uses historical vibration data from multiple monitoring points under multiple gate opening conditions to quantify the impact of flood discharge vibration into characteristic vibration energy using a characteristic vibration energy assessment method. Then, by constructing a structured database that associates gate opening conditions with characteristic vibration energy, it is easy to reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on characteristic vibration energy for each gate opening condition. On this basis, multiple candidate gate opening schemes are predicted and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization variables, ensuring that the final output of the optimal gate opening scheme significantly reduces the vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0080] This embodiment provides a method for determining the opening degree of a reservoir gate, which can be used in the control terminal of a reservoir dam. Figure 5 This is a flowchart of a reservoir gate opening decision method according to an embodiment of the present invention, such as... Figure 5 As shown, the process includes the following steps: S501, based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, uses a characteristic vibration energy assessment method to obtain the characteristic vibration energy under the corresponding gate opening condition. For details, please refer to [link to relevant documentation]. Figure 1 S101 of the illustrated embodiment will not be described again here.

[0081] S502 integrates the characteristic vibration energy under multiple gate opening conditions and constructs a structured database by combining the mapping relationship between each gate opening condition and its corresponding characteristic vibration energy. For details, please refer to [link to database]. Figure 1 S102 of the illustrated embodiment will not be described again here.

[0082] S503, based on each pre-constructed candidate gate opening scheme, evaluates them using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme.

[0083] Specifically, the aforementioned S503 includes: S5031. Based on the current inflow rate of the reservoir, the reservoir water level, the downstream flood control requirements and the power generation plan, multiple candidate gate opening schemes are obtained using the candidate scheme construction method. S5032, based on multiple candidate gate opening schemes and combined with a structured database, uses the similarity feature parameter evaluation method to predict the characteristic vibration energy of each candidate gate opening scheme.

[0084] Based on the current reservoir inflow, water level, downstream flood control requirements, and power generation plan, a candidate gate opening scheme is quickly generated using a candidate scheme construction method. The characteristic parameters of each candidate gate opening scheme are matched using a structured database, and the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme are obtained. This enables a rapid quantitative assessment of the vibration impact of each candidate gate opening scheme, providing a direct and reliable basis for comparison in obtaining the optimal gate opening scheme.

[0085] S504 integrates the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluates them using an evaluation method, selects the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and outputs it as the optimal gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S104 of the illustrated embodiment will not be described again here.

[0086] The reservoir gate opening decision method provided in this embodiment first uses historical vibration data from multiple monitoring points under multiple gate opening conditions to quantify the impact of flood discharge vibration into characteristic vibration energy using a characteristic vibration energy assessment method. Then, by constructing a structured database that associates gate opening conditions with characteristic vibration energy, it is easy to reveal the quantitative impact of parameters such as gate opening, flow rate, and uniformity on characteristic vibration energy for each gate opening condition. On this basis, multiple candidate gate opening schemes are predicted and the optimal gate opening scheme corresponding to the minimum vibration energy value is selected. This facilitates the transformation of vibration safety of downstream surrounding buildings from passive monitoring to active optimization variables, ensuring that the final output of the optimal gate opening scheme significantly reduces the vibration interference caused by flood discharge to surrounding buildings and residential areas.

[0087] This embodiment provides a method for determining the opening degree of a reservoir gate, which can be used in the control terminal of a reservoir dam. Figure 6 This is a flowchart of a reservoir gate opening decision method according to an embodiment of the present invention, such as... Figure 6 As shown, the process includes the following steps: S601, based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, uses a characteristic vibration energy assessment method to obtain the characteristic vibration energy under the corresponding gate opening condition. For details, please refer to [link to relevant documentation]. Figure 1 S101 of the illustrated embodiment will not be described again here.

[0088] S602 integrates the characteristic vibration energy under multiple gate opening conditions and constructs a structured database by combining the mapping relationship between each gate opening condition and its corresponding characteristic vibration energy. For details, please refer to [link to database]. Figure 1 S102 of the illustrated embodiment will not be described again here.

[0089] S603, based on each pre-constructed candidate gate opening scheme, evaluates them using a structured database to obtain the characteristic vibration energy prediction results for the corresponding candidate gate opening scheme. For details, please refer to [link to relevant documentation]. Figure 1 S103 of the illustrated embodiment will not be described again here.

[0090] S604 integrates the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluates them using an evaluation method, selects the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and outputs it as the optimal gate opening scheme.

[0091] Specifically, the aforementioned S604 includes: S6041, combining the characteristic vibration energy prediction results of each candidate gate opening scheme with the preset safety constraints, constructs a set of candidate schemes; the safety constraints include that the opening degree of each gate is less than or equal to the design limit, the total flood discharge is less than or equal to the safe discharge of the downstream river channel, and the reservoir water level change rate is within the allowable range. S6042, based on the candidate scheme set, compares the candidates using the evaluation method to obtain the candidate gate opening scheme corresponding to the predicted minimum working condition characteristic vibration energy under the safety constraints, and outputs the optimal gate opening scheme.

[0092] For example, the above S6042 can be implemented as follows: Based on a flood discharge flow rate of 3600 m³ 3 The two candidate gate opening conditions constructed by / s were used to predict the characteristic vibration energy using the structural database. The prediction results of the characteristic vibration energy are shown in Table 3. Table 3 Comparison of Characteristic Vibration Energy Prediction Results for Working Condition 1 and Working Condition 2

[0093] Figure 7 Table 3 shows a comparison of the predicted characteristic vibration energy based on two candidate gate opening conditions. Condition 1 and Condition 2 represent different gate opening schemes under the same discharge capacity. Condition 1 involves fully opening the surface orifices (No. 1 to No. 12) to a depth of 3m, while Condition 2 involves opening the right stilling basin's two surface orifices (No. 8 and No. 11) to a maximum opening of 18m. Figure 7 It can be seen that the vibration energy of a gate opening at a small and uniform degree is significantly less than the vibration energy of a gate opening at a large and uneven degree.

[0094] By combining the vibration energy prediction results of each candidate gate opening scheme with the constraints of gate opening degree, total flood discharge flow, and reservoir water level change rate, a set of candidate schemes is constructed. Then, the characteristic vibration energy is used as the optimization target for comparison, and the gate opening scheme that meets the safety constraints and has the least impact of characteristic vibration energy is selected. In this way, the downstream vibration safety is transformed from passive monitoring to active decision-making variable, realizing the coordinated optimization of flood discharge scheduling and environmental protection.

[0095] In some optional embodiments, the present invention further includes: S605: Based on the optimal gate opening scheme, obtain the vibration energy continuously monitored during actual flood discharge to obtain the characteristic vibration energy sequence for each time period during the execution period; based on the characteristic vibration energy sequence for each time period during the execution period, use the method of calculating the arithmetic mean of the sequence during the stable operation period to obtain the actual characteristic vibration energy value of the optimal gate opening scheme; based on the actual characteristic vibration energy value of the optimal gate opening scheme, combined with the characteristic vibration energy prediction results, use the method of calculating errors to update the structured database to obtain the updated structured database.

[0096] By acquiring actual vibration data during the optimal gate opening scheme, the characteristic vibration energy of each time period of the optimal gate opening scheme is recalculated, forming a characteristic vibration energy sequence for each time period during the execution period. Then, the arithmetic mean of the scheme during the stable operation period is extracted as the actual characteristic vibration energy value of the optimal gate opening scheme. The actual characteristic vibration energy value is then compared with the predicted value in the decision-making stage. The structured database is updated using the error calculation method, thereby completing the incremental update of the structured database. This ensures that the prediction accuracy and decision reliability are gradually improved as the reservoir operating conditions change.

[0097] This embodiment also provides a reservoir gate opening decision device, which is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0098] This embodiment provides a reservoir gate opening decision device, such as... Figure 8 As shown, it includes: The data monitoring module 810 is used to obtain the characteristic vibration energy of the corresponding gate opening condition based on the historical vibration monitoring data of multiple monitoring points under multiple gate opening conditions in the target area and the characteristic vibration energy evaluation method. The model building module 820 is used to integrate the characteristic vibration energy under multiple gate opening conditions, and combine the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy to build a structured database. The candidate prediction module 830 is used to evaluate each pre-built candidate gate opening scheme using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme. The result filtering module 840 is used to integrate the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluate them using an evaluation method, filter out the candidate gate opening schemes corresponding to the minimum working condition characteristic vibration energy value, and output the optimal gate opening scheme.

[0099] In some alternative implementations, the data monitoring module 810 includes: The data preprocessing unit is used to process the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area using the preprocessing method to obtain the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition. The vibration synthesis unit is used to obtain the basic vibration energy index of each monitoring point under the corresponding gate opening condition based on the preprocessed acceleration time history data of each monitoring point under each gate opening condition, using the root mean square value of acceleration and vector synthesis evaluation method. The comprehensive evaluation unit is used to integrate the basic vibration energy indicators of each monitoring point under each gate opening condition, and to obtain the characteristic vibration energy under the corresponding gate opening condition using the comprehensive evaluation method.

[0100] In some optional implementations, the data preprocessing unit is specifically used for: Based on the zero-point drift in the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the drift correction method is used to obtain the zero-drift corrected acceleration time history data of each monitoring point under the corresponding gate opening condition. Based on the zero-drift corrected acceleration time history data of each monitoring point under each gate opening condition, the filtered velocity signal of each monitoring point under the corresponding gate opening condition is obtained by using the digital bandpass filtering method. Based on the filtered velocity signal of each monitoring point under each gate opening condition, the acceleration time history signal of each monitoring point under the corresponding gate opening condition is obtained by using the first-order difference numerical differentiation method. Based on the acceleration time history signal of each monitoring point under each gate opening condition, the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition is obtained by using the unit conversion method.

[0101] In some alternative implementations, the model building module 820 includes: The mapping and filtering unit is used to obtain the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value based on the set of characteristic parameters under each gate opening condition and the characteristic vibration energy value under the corresponding gate opening condition; wherein, the set of characteristic parameters includes: flood discharge gate number and quantity, opening height of each gate, total flood discharge flow, and uniformity of gate opening; The model generation unit is used to synthesize the set of characteristic parameters for each gate opening condition, and combine the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value to construct a structured database.

[0102] In some alternative implementations, the candidate prediction module 830 includes: The scheme generation unit is used to generate multiple candidate gate opening schemes based on the current reservoir inflow, reservoir water level, downstream flood control requirements, and power generation plan, using a candidate scheme construction method. The result prediction unit is used to predict the characteristic vibration energy of each candidate gate opening scheme based on multiple candidate gate opening schemes and in conjunction with a structured database, using the similar characteristic parameter evaluation method.

[0103] In some alternative implementations, the result filtering module 840 includes: The scheme aggregation unit is used to integrate the characteristic vibration energy prediction results of each candidate gate opening scheme and combine them with preset safety constraints to construct a set of candidate schemes. The safety constraints include that the opening degree of each gate is less than or equal to the design limit, the total flood discharge is less than or equal to the safe discharge of the downstream river channel, and the reservoir water level change rate is within the allowable range. The scheme comparison unit is used to compare the candidate schemes based on the set of candidate schemes using an evaluation method, obtain the candidate gate opening schemes corresponding to the predicted minimum working condition characteristic vibration energy under safety constraints, and output the optimal gate opening scheme.

[0104] In some alternative implementations, it also includes: The iterative optimization module is used to obtain the vibration energy continuously monitored during actual flood discharge based on the optimal gate opening scheme, and obtain the characteristic vibration energy sequence of each time period during the execution period; based on the characteristic vibration energy sequence of each time period during the execution period, the actual characteristic vibration energy value of the optimal gate opening scheme is obtained by calculating the arithmetic mean of the sequence during the stable operation period; based on the actual characteristic vibration energy value of the optimal gate opening scheme, combined with the characteristic vibration energy prediction result, the structured database is updated by calculating the error, resulting in an updated structured database.

[0105] The reservoir gate opening decision device provided in this embodiment of the invention can execute the reservoir gate opening decision method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method. Further functional descriptions of the above modules and units are the same as in the corresponding embodiments described above, and will not be repeated here.

[0106] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0107] The following is a detailed reference. Figure 9 This diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 901, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 902 or a program loaded from memory 908 into random access memory (RAM) 903. The RAM 903 also stores various programs and data required for the operation of the electronic device. The processor 901, ROM 902, and RAM 903 are interconnected via a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0108] Typically, the following devices can be connected to I / O interface 905: input devices 906 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 907 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 908 including, for example, magnetic tapes, hard disks, etc.; and communication devices 909. Communication device 909 allows electronic devices to exchange data via wireless or wired communication with other devices. Although Figure 9 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0109] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 909, or installed from a memory 908, or installed from a ROM 902. When the computer program is executed by the processor 901, it performs the functions defined in the reservoir gate opening decision method of the embodiments of the present invention.

[0110] Figure 9The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0111] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the reservoir gate opening decision method shown in the above embodiments is implemented.

[0112] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0113] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for determining the opening degree of a reservoir gate, characterized in that, The method includes: Based on historical vibration monitoring data obtained from multiple monitoring points under multiple gate opening conditions in the target area, the characteristic vibration energy under the corresponding gate opening conditions is obtained using the characteristic vibration energy assessment method. By integrating the characteristic vibration energy under multiple gate opening conditions and combining the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy, a structured database is constructed. Based on each pre-constructed candidate gate opening scheme, the structured database is used to evaluate them respectively, and the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme are obtained. By combining the characteristic vibration energy prediction results of multiple candidate gate opening schemes, an evaluation method is used to evaluate and select the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition, and output as the optimal gate opening scheme.

2. The method according to claim 1, characterized in that, The method involves acquiring historical vibration monitoring data from multiple monitoring points under various gate opening conditions in the target area, and using a characteristic vibration energy assessment method to obtain the characteristic vibration energy under the corresponding gate opening conditions, including: Based on the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the data is processed using a preprocessing method to obtain the preprocessed acceleration time history data at each monitoring point under the corresponding gate opening condition. Based on the preprocessed acceleration time history data of each monitoring point under each gate opening condition, the basic vibration energy index of each monitoring point under the corresponding gate opening condition is obtained by using the root mean square value of acceleration and vector synthesis evaluation method. By combining the basic vibration energy indicators of each monitoring point under each gate opening condition, and using a comprehensive evaluation method, the characteristic vibration energy under the corresponding gate opening condition is obtained.

3. The method according to claim 2, characterized in that, The three-directional acceleration time history data collected from each monitoring point under each gate opening condition within the target area are processed using a preprocessing method to obtain preprocessed acceleration time history data for each monitoring point under the corresponding gate opening condition, including: Based on the zero-point drift in the three-directional acceleration time history data collected at each monitoring point under the gate opening condition in the target area, the drift correction method is used to obtain the zero-drift corrected acceleration time history data of each monitoring point under the corresponding gate opening condition. Based on the zero-drift corrected acceleration time history data of each monitoring point under each gate opening condition, the filtered velocity signal of each monitoring point under the corresponding gate opening condition is obtained by using the digital bandpass filtering method. Based on the filtered velocity signal of each monitoring point under each gate opening condition, the acceleration time history signal of each monitoring point under the corresponding gate opening condition is obtained by using the first-order difference numerical differentiation method. Based on the acceleration time history signal of each monitoring point under each gate opening condition, the preprocessed acceleration time history data of each monitoring point under the corresponding gate opening condition is obtained by using the unit conversion method.

4. The method according to claim 1, characterized in that, The characteristic vibration energy under multiple gate opening conditions is integrated, and the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy is combined to construct a structured database, including: Based on the set of characteristic parameters for each gate opening condition, and combined with the characteristic vibration energy value for the corresponding gate opening condition, the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value is obtained; wherein, the set of characteristic parameters includes: the number and quantity of flood discharge gates, the opening height of each gate, the total flood discharge flow, and the uniformity of gate opening; By combining the set of characteristic parameters for each gate opening condition and the mapping relationship between each set of characteristic parameters and the corresponding characteristic vibration energy value, a structured database is constructed.

5. The method according to claim 1, characterized in that, The pre-constructed candidate gate opening scheme is evaluated using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme, including: Based on the current inflow rate, water level, downstream flood control requirements, and power generation plan of the reservoir, multiple candidate gate opening schemes are obtained using the candidate scheme construction method. Based on multiple candidate gate opening schemes, and combined with a structured database, the similarity feature parameter evaluation method is used to predict the characteristic vibration energy of each candidate gate opening scheme.

6. The method according to claim 1, characterized in that, The characteristic vibration energy prediction results of multiple candidate gate opening schemes are combined, and an evaluation method is used to evaluate and select the candidate gate opening scheme corresponding to the minimum characteristic vibration energy value under the working condition. The optimal gate opening scheme is then output, including: Based on the characteristic vibration energy prediction results of each candidate gate opening scheme and combined with the preset safety constraints, a set of candidate schemes is constructed. The safety constraints include that the opening degree of each gate is less than or equal to the design limit, the total flood discharge is less than or equal to the safe discharge of the downstream river channel, and the reservoir water level change rate is within the allowable range. Based on the set of candidate schemes, the evaluation method is used to compare them to obtain the candidate gate opening schemes corresponding to the predicted minimum operating condition characteristic vibration energy under safety constraints, and the output is the optimal gate opening scheme.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: Based on the optimal gate opening scheme, the vibration energy continuously monitored during actual flood discharge is obtained, and the characteristic vibration energy sequence of each time period during the execution period is obtained. Based on the characteristic vibration energy sequence of each time period during the execution, the actual characteristic vibration energy value of the optimal gate opening scheme is obtained by calculating the arithmetic mean of the sequence during the stable operation period. Based on the actual characteristic vibration energy value of the optimal gate opening scheme, combined with the characteristic vibration energy prediction results, the structured database is updated using the error calculation method to obtain the updated structured database.

8. A reservoir gate opening decision device, characterized in that, The device includes: The data monitoring module is used to obtain the characteristic vibration energy of the corresponding gate opening condition based on the historical vibration monitoring data of multiple monitoring points under multiple gate opening conditions in the target area and the characteristic vibration energy assessment method. The model building module is used to integrate the characteristic vibration energy under multiple gate opening conditions, and combine the mapping relationship between each gate opening condition and the corresponding characteristic vibration energy to build a structured database. The candidate prediction module is used to evaluate each pre-built candidate gate opening scheme using a structured database to obtain the characteristic vibration energy prediction results of the corresponding candidate gate opening scheme. The result filtering module is used to integrate the characteristic vibration energy prediction results of multiple candidate gate opening schemes, evaluate them using an evaluation method, filter out the candidate gate opening schemes corresponding to the minimum characteristic vibration energy value under the working condition, and output the optimal gate opening scheme.

9. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the reservoir gate opening decision method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the reservoir gate opening decision method according to any one of claims 1 to 7.

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