Intelligent water resource dynamic simulation and regulation system and method based on karst hydrogeological survey

Abstract

The invention relates to the technical field of water resource scheduling management, and discloses an intelligent water resource dynamic simulation, regulation and control system and method based on karst hydrogeological investigation, and the method carries out the precise measurement of the total water storage capacity of a non-water-storage space structure in karst geology based on the three-dimensional model information of a karst geology space in combination with geologic structure analysis software. The water storage capacity of the karst geographic area is reliably evaluated according to the geological space characteristics of the karst geographic area, and the karst geological water resource scheduling precision is improved; according to the karst geological space three-dimensional model information, an intelligent search algorithm and different water storage rate standard karst geological space structure three-dimensional model information based on big data storage are combined to carry out karst geology water storage scheduling rate scientific analysis, and the water storage rate of a karst geological area is intelligently matched based on karst geological area space characteristics. Intelligent and environment-friendly karst geology water resource dispatching operation is achieved, and the efficiency and accuracy of karst geology water resource dispatching are improved.

Description

Technical Field

[0001] This invention relates to the technical field of water resource scheduling and management, specifically to a smart water resource dynamic simulation and control system and method based on karst hydrogeological exploration. Background Technology

[0002] Karst geology, also known as karst geology, is a geological type formed by the combined effects of water's chemical dissolution of soluble rocks, along with mechanical actions such as erosion, undercutting, and collapse. The pores, fissures, conduits, and vadose zones within karst geology can effectively store water resources, enabling the scientific allocation of water resources in karst areas in terms of time, space, quantity, and quality, thereby improving the efficiency and quality of water resource utilization. However, current karst water storage operations cannot achieve precise control of water storage volume or scientific selection of storage rates, reducing the reliability and safety of karst water resource allocation.

[0003] Chinese invention patent application CN119273492A, published on January 7, 2025, discloses a water resource scheduling method and system based on digital twins. The method includes: dividing geographical space into regions based on human production activities; obtaining historical water resource consumption for each region based on the regional division results; detecting the remaining water resources in each region; analyzing the theoretical meteorological environment information of the water resource region based on the historical water resource consumption; analyzing the impact of meteorological and environmental conditions on the degree of water resource demand based on the meteorological environment information to obtain an environmental impact coefficient; obtaining the actual water resource demand for each region based on the theoretical water resource demand and the environmental impact coefficient; and classifying the regions in the regional division results based on the actual water resource demand for each region to obtain a regional demand classification result. However, the above technical solution cannot achieve scientific and precise water storage scheduling in karst geology. Summary of the Invention

[0004] (a) Technical problems to be solved To address the issues that existing karst geological water resource storage operations cannot achieve precise control of water storage volume or scientific selection of water storage rate, thus reducing the reliability and safety of karst geological water resource scheduling, this paper aims to achieve the following objectives: efficiently acquiring karst geological hydrological characteristic information, intelligently constructing a three-dimensional model of karst geological spatial structure, accurately measuring the internal water storage volume of karst geology, scientifically analyzing karst geological water storage rate, and accurately and reliably executing karst geological water resource scheduling.

[0005] (II) Technical Solution This invention is achieved through the following technical solution: a smart water resource dynamic simulation and regulation method based on karst hydrogeological exploration, the method comprising the following steps: S1. Collect karst geological and hydrological characteristic information. Preprocess the collected karst geological and hydrological information into text and images to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively. Based on the karst geological and hydrological information, model the three-dimensional solid model of the karst geological spatial structure to construct the karst geological spatial three-dimensional model information. S2. Measure the total water storage inside the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage inside the target karst geological space; analyze and process the water storage and dispatch rate of the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage rate of the target karst geological space. S3. Construct a summary of karst geological water resource scheduling information and execute karst geological water resource scheduling operations.

[0006] Preferably, the steps for collecting karst geological and hydrological feature information, including preprocessing the collected karst geological and hydrological information into text and image data to obtain standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data, and constructing a three-dimensional solid model of the karst geological spatial structure based on the karst geological and hydrological information, are as follows: S11. Collect image and text information on the geology and hydrology of the target karst geographical area online through a water resources management platform, and obtain karst geological and hydrological characteristic information; the karst geological and hydrological characteristic information includes basic geological text data, basic geological image data, geophysical exploration text data, geophysical exploration image data, drilling text data, experimental text data, hydrological monitoring text data, and remote sensing image data; the water resources management platform includes either Huawei-Smart Water Conservancy Cloud Brain or Dayu Smart Water Affairs Platform; S12. Based on the karst geological and hydrological feature information, the collected karst geological and hydrological information is preprocessed into text data and image data to obtain standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data, respectively. S13. Based on the standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data, perform three-dimensional solid modeling processing of karst geological spatial structure to construct karst geological spatial three-dimensional model information.

[0007] Preferably, the steps for preprocessing the karst geological and hydrological information collected based on the karst geological and hydrological feature information into text data and image data to obtain standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data are as follows: S121. The VL-BERT image-text classification algorithm is used to classify the karst geological and hydrological text information and karst geological and hydrological image information in the karst geological and hydrological feature information according to the text data and image data, respectively, to obtain karst geological and hydrological feature text classification data and karst geological and hydrological feature image classification data; S122. The text data denoising preprocessing of the karst geological and hydrological feature text classification data is performed using wavelet transform to obtain standard karst geological and hydrological feature text data. The BM3D algorithm was used to perform image data denoising preprocessing on the karst geological and hydrological feature image classification data to obtain standard karst geological and hydrological feature image data.

[0008] Preferably, the steps for modeling a three-dimensional solid model of karst geological spatial structure based on the standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data to construct the karst geological spatial three-dimensional model information are as follows: S131. Obtain the standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data; S132. The standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data are sequentially imported into the data input dialog box of the geological 3D modeling software. The geological 3D modeling software performs modeling processing on the 3D solid model of the karst geological spatial structure of the target karst geographical area based on the karst geological and hydrological information to obtain the karst geological spatial 3D model information. The geological 3D modeling software includes any one of GOCAD, Leapfrog, and GemPy.

[0009] Preferably, the total water storage within the karst geological space is measured based on a three-dimensional solid model of the karst geological spatial structure to obtain the target karst geological water storage capacity; the operation steps for analyzing and processing the water storage and dispatch rate of the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the target karst geological water storage rate are as follows: S21. Based on the three-dimensional spatial model information of the karst geology, the total water storage of the non-water-storage space structure inside the karst geology is measured and processed to obtain the water storage of the target karst geology. S22. Based on the karst geological spatial three-dimensional model information and the karst geological spatial structure three-dimensional model information matrix with different water storage rates, perform karst geological water storage scheduling rate analysis and processing to obtain the target karst geological water storage rate.

[0010] Preferably, the steps for measuring and processing the total water storage of the non-water-storage space structure within the karst geological area based on the karst geological spatial three-dimensional model information to obtain the target water storage within the karst geological area are as follows: S211. Import the karst geological spatial three-dimensional model information into the data input dialog box of the geological structure analysis software. Based on the three-dimensional solid model of the karst geological spatial structure, the geological structure analysis software measures the total water storage capacity of the non-water-storage space structure inside the karst geological area, and obtains the target karst geological internal water storage capacity. The target karst geological internal water storage capacity represents the total water storage capacity of the target karst geographical area during the water resource storage and scheduling process. The unit of the target karst geological internal water storage capacity is cubic meters. The geological structure analysis software includes any one of CFS and ConduitFlowProcessforMODFLOW.

[0011] Preferably, the steps for analyzing and processing the water storage and regulation rate of karst geology based on the karst geological spatial three-dimensional model information and the karst geological spatial three-dimensional model information matrix of different water storage rates to obtain the target karst geological water storage rate are as follows: S221. Establish a three-dimensional model information matrix of standard karst geological spatial structure with different water storage rates. ,in Indicates the first The three-dimensional model information of standard karst geological spatial structures corresponding to different water storage rate types in karst geology; wherein the karst geological water storage rate type represents the total water storage volume per unit time during the water resource storage and scheduling process of karst geology, and the unit of karst geological water storage rate is cubic meters per second; the three-dimensional model information of standard karst geological spatial structures for different water storage rate types represents the three-dimensional solid model information of standard karst geological spatial structures set for different karst geological water storage rate types. S222, Combine the karst geological spatial three-dimensional model information with the karst geological spatial structure three-dimensional model information matrix for different water storage rates. The three-dimensional model information of standard karst geological spatial structure with different water storage rates described in the article Perform feature matching on the three-dimensional solid model to search for the standard three-dimensional karst geological spatial structure information with different water storage rates that matches the karst geological spatial three-dimensional model information. The corresponding karst geological water storage rate is generated, and a target karst geological water storage rate is generated after data identification. The target karst geological water storage rate represents the optimal karst geological water storage rate during water resource storage and scheduling in the target karst geographical area. The unit of the target karst geological water storage rate is cubic meters per second. The specific operation steps for generating the target karst geological water storage rate are as follows: S2221. Initialize parameters and update the maximum number of algorithm iterations T; S2222, Initialize and update water storage rate search for seagull populations in the three-dimensional model information matrix of karst geological spatial structure at different water storage rates. The position in the search space; S2223. Calculate the information matrix of the three-dimensional model of the standard karst geological spatial structure for different water storage rates. Information on all the three-dimensional models of standard karst geological spatial structures with different water storage rates in the search space. The fitness value of the karst geological spatial three-dimensional model information is obtained and retained in the karst geological spatial structure three-dimensional model information matrix at different water storage rates. The search space containing the standard karst geological spatial structure three-dimensional model information with the highest fitness value for different water storage rates. The globally optimal position; S2224. Migration, Global Search: Searching for water storage rate. The migration behavior of seagulls mainly involves three steps: first, satisfying the information matrix of the three-dimensional model of karst geological spatial structure under different water storage rate standards. The search space is used to find conditions for seagulls to avoid collisions at different water storage rates; secondly, the information matrix of the three-dimensional model of the standard karst geological spatial structure at different water storage rates is calculated. Search the search space to find standard karst geological spatial structure three-dimensional model information with different water storage rates that match the karst geological spatial three-dimensional model information. The optimal location and orientation; thirdly, based on the karst geological spatial three-dimensional model information of different water storage rates that best match the karst geological spatial three-dimensional model information. Move from the optimal position to the new position; S22241. Calculate the water storage rate and search for the information matrix of the three-dimensional model of the standard karst geological spatial structure at different water storage rates. In the search space, find new locations where the seagull does not collide with adjacent water storage rates during its movement. ; , ;in This represents the information matrix of the three-dimensional model of karst geological spatial structure at different water storage rates, indicating the search for seagulls. The current position in the search space. Indicates the current iteration number; This represents the information matrix of the three-dimensional model of karst geological spatial structure at different water storage rates, indicating the search for seagulls. Motion behavior in the search space; Indicates control A function of frequency of change Indicates the maximum number of iterations; S22242, Calculate the information matrix of the three-dimensional model of the spatial structure of karst geological space under different water storage rates. Search the search space to find standard karst geological spatial structure three-dimensional model information with different water storage rates that match the karst geological spatial three-dimensional model information. Best location ; , ,in This represents the information matrix of the three-dimensional model of the spatial structure of karst geology at different water storage rates. Search the search space to find the standard karst geological spatial structure 3D model information with different water storage rates that matches the karst geological spatial 3D model information. The current best position; A random number representing a balance between global and local search capabilities. This represents a random number within the interval [0, 1]. S22243. Based on the standard karst geological spatial structure three-dimensional model information with different water storage rates that best matches the karst geological spatial three-dimensional model information. Move from the optimal position to the new position , That is, according to the direction of the optimal location, in the three-dimensional model information matrix of karst geological spatial structure at different water storage rates. Search the search space to find standard karst geological spatial structure three-dimensional model information with different water storage rates that match the karst geological spatial three-dimensional model information. The new location; S2225. Attacking prey, local search, water storage rate search: Seagulls in the three-dimensional model information matrix of karst geological spatial structure at different water storage rates. The search space is used to attack standard karst geological spatial structure three-dimensional model information with different water storage rates that matches the karst geological spatial three-dimensional model information. When hunting, the seagull uses a spiral motion in the air to search for the new location of its prey after the attack. , That is, the information matrix of the three-dimensional model of karst geological spatial structure at different water storage rate standards, which is used to search for the water storage rate of seagulls. Search the search space to find standard karst geological spatial structure three-dimensional model information with different water storage rates that match the karst geological spatial three-dimensional model information. The prey; S2226. Determine whether the maximum number of iterations is met, and then output the standard karst geological spatial structure three-dimensional model information with different water storage rates that matches the karst geological spatial three-dimensional model information. If not satisfied, return to step S2223; S2227. Based on the 3D model information of the standard karst geological spatial structure with different water storage rates that matches the karst geological spatial 3D model information output in step S2226,... The corresponding karst geological water storage rate is determined, and the target karst geological water storage rate is generated through data identification.

[0012] Preferably, the operational steps for constructing the summary information on karst geological water resource scheduling and executing karst geological water resource scheduling operations are as follows: S31. The target karst geological internal water storage capacity and the target karst geological water storage rate are processed by data combination and identification to generate karst geological water resource scheduling summary information. S32. The water resources management platform controls water dispatching equipment to carry out water resource storage and dispatching operations in the target karst geographical area based on the water storage volume and water storage rate corresponding to the karst geological water resources dispatching summary information. The water dispatching equipment includes any one or more of centrifugal pumps, axial flow pumps, and gate opening and closing equipment.

[0013] A smart water resources dynamic simulation and regulation system based on karst hydrogeological exploration is used to implement the smart water resources dynamic simulation and regulation method based on karst hydrogeological exploration. The system includes a karst geological model modeling module, a karst geological water resources scheduling parameter analysis module, and a karst geological water resources scheduling execution module. The karst geological modeling module includes a karst geological and hydrological information acquisition unit, a karst geological and hydrological information preprocessing unit, and a karst geological spatial three-dimensional model construction unit. The karst geological and hydrological information acquisition unit collects karst geological and hydrological characteristic information through a water resources management platform; the karst geological and hydrological information preprocessing unit preprocesses the collected karst geological and hydrological information based on the karst geological and hydrological characteristic information to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively; the karst geological spatial three-dimensional model construction unit, based on the standard karst geological and hydrological characteristic text data and the standard karst geological and hydrological characteristic image data, and in conjunction with geological three-dimensional modeling software, performs three-dimensional solid modeling of the karst geological spatial structure to construct karst geological spatial three-dimensional model information. The karst geological water resource scheduling parameter analysis module includes a karst geological internal water storage measurement unit, a karst geological spatial structure three-dimensional model storage unit with different water storage rates, and a karst geological water storage rate analysis unit. The karst geological internal water storage measurement unit, based on the karst geological spatial three-dimensional model information and combined with geological structure analysis software, measures the total water storage of the non-water-storing space structure within the karst geological area to obtain the target karst geological internal water storage; the standard karst geological spatial structure three-dimensional model storage unit with different water storage rates is used to store the standard karst geological spatial structure three-dimensional model information with different water storage rates; the karst geological water storage rate analysis unit, based on the karst geological spatial three-dimensional model information and the standard karst geological spatial structure three-dimensional model information with different water storage rates, performs karst geological water storage rate analysis to obtain the target karst geological water storage rate; The karst geological water resources scheduling execution module includes a karst geological water resources scheduling information generation unit and a karst geological water resources scheduling operation execution unit. The karst geological water resource scheduling information generation unit constructs a summary information on karst geological water resource scheduling based on the internal water storage capacity and water storage rate of the target karst geological area and in conjunction with data processing; the karst geological water resource scheduling operation execution unit performs water resource storage scheduling operations in the target karst geographical area based on the summary information on karst geological water resource scheduling and in conjunction with the water resource management platform and water scheduling equipment.

[0014] (III) Beneficial Effects This invention provides a smart water resources dynamic simulation and control system and method based on karst hydrogeological exploration. It has the following beneficial effects: I. Accurately and comprehensively collect karst geological and hydrological characteristic information through the water resources management platform to provide reliable data support for subsequent precise measurement of water resources scheduling parameters in karst geographical areas; conduct scientific preprocessing of text and image data classification based on karst geological and hydrological characteristic information to improve the accuracy and authenticity of karst geological and hydrological data collection; and intelligently and accurately model the three-dimensional solid model of karst geological spatial structure using standard karst geological and hydrological characteristic text data, standard karst geological and hydrological characteristic image data, and geological three-dimensional modeling software to achieve digital scientific modeling of the internal structure of karst geographical areas and improve the quality of karst geological water resources scheduling.

[0015] Second, by accurately measuring the total water storage capacity of the non-water-storing space structure within karst geology using 3D spatial model information of karst geology and geological structure analysis software, the water storage capacity of karst geographical areas can be reliably assessed based on the geological spatial characteristics of karst geographical areas, thereby improving the accuracy of karst geological water resource allocation. Furthermore, based on 3D spatial model information of karst geology, combined with intelligent search algorithms and 3D spatial model information of karst geological spatial structures with different water storage rate standards based on big data storage, a scientific analysis of the water storage allocation rate of karst geology can be conducted. This enables intelligent matching of the water storage rate of karst geological areas based on spatial characteristics, achieving intelligent and environmentally friendly karst geological water resource allocation operations, and improving the efficiency and accuracy of karst geological water resource allocation.

[0016] Third, by combining data processing with the internal water storage capacity and water storage rate of the target karst geology, a summary information on karst geological water resource scheduling can be efficiently and timely constructed, thereby improving the efficiency of karst geological water resource scheduling response. Based on the summary information on karst geological water resource scheduling, and in conjunction with the water resource management platform and water scheduling equipment, water storage scheduling operations can be autonomously and reliably executed in the target karst geographical area, thereby ensuring the safety and stability of the karst geological water resource scheduling operation execution process and improving the applicability and reliability of karst geological water resource scheduling. Attached Figure Description

[0017] Figure 1 A schematic diagram of the modules of the intelligent water resources dynamic simulation and regulation system based on karst hydrogeological exploration provided by the present invention; Figure 2 The flowchart of the intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration provided by the present invention. Detailed Implementation

[0018] 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, and 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.

[0019] An example of the intelligent water resources dynamic simulation and control system and method based on karst hydrogeological exploration is as follows: Example 1: Please see Figures 1-2 A smart water resources dynamic simulation and regulation method based on karst hydrogeological exploration, the method includes the following steps: S1. Collect karst geological and hydrological characteristic information. Preprocess the collected karst geological and hydrological information into text and images to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively. Based on the karst geological and hydrological information, model the three-dimensional solid model of the karst geological spatial structure to construct the karst geological spatial three-dimensional model information. S2. Measure the total water storage inside the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage inside the target karst geological space; analyze and process the water storage and dispatch rate of the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage rate of the target karst geological space. S3. Construct a summary of karst geological water resource scheduling information and execute karst geological water resource scheduling operations.

[0020] For further details, please refer to Figures 1-2 The process involves collecting karst geological and hydrological characteristic information, preprocessing the collected information into text and image data to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, and then modeling a three-dimensional solid model of the karst geological spatial structure based on the karst geological and hydrological information. The steps for constructing the three-dimensional karst geological spatial model information are as follows: S11. Collect image and text information on the geology and hydrology of the target karst geographical area online through the water resources management platform, and obtain karst geological and hydrological characteristic information; the karst geological and hydrological characteristic information includes basic geological text data, basic geological image data, geophysical exploration text data, geophysical exploration image data, drilling text data, experimental text data, hydrological monitoring text data, and remote sensing image data; the water resources management platform includes either Huawei-Smart Water Conservancy Cloud Brain or Dayu Smart Water Affairs Platform; S12. Based on the karst geological and hydrological characteristic information, the collected karst geological and hydrological information is preprocessed into text data and image data to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively. S13. Based on the standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data, perform three-dimensional solid modeling of karst geological spatial structure to construct karst geological spatial three-dimensional model information.

[0021] The steps for preprocessing text and image data of karst geological and hydrological information collected based on karst geological and hydrological characteristics to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data are as follows: S121. The VL-BERT image-text classification algorithm is used to classify the karst geological and hydrological text information and karst geological and hydrological image information in the karst geological and hydrological feature information according to the text data and image data, respectively, to obtain karst geological and hydrological feature text classification data and karst geological and hydrological feature image classification data; S122. Wavelet transform method is used to perform text data noise reduction preprocessing on karst geological and hydrological feature text classification data to obtain standard karst geological and hydrological feature text data. The BM3D algorithm was used to perform image data denoising preprocessing on the karst geological and hydrological feature image classification data to obtain standard karst geological and hydrological feature image data.

[0022] The steps for constructing a three-dimensional solid model of karst geological spatial structure based on standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data are as follows: S131. Obtain standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data; S132. Import the standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data into the data input dialog box of the geological 3D modeling software in an orderly manner. The geological 3D modeling software performs modeling processing on the 3D solid model of the karst geological spatial structure of the target karst geographical area based on the karst geological and hydrological information to obtain the karst geological spatial 3D model information. The geological 3D modeling software includes any one of GOCAD, Leapfrog, and GemPy.

[0023] The karst geological and hydrological information acquisition unit uses a water resources management platform to accurately and comprehensively collect karst geological and hydrological characteristic information, providing reliable data support for subsequent precise measurement of water resources scheduling parameters in karst geographical areas. The karst geological and hydrological information preprocessing unit performs scientific preprocessing of text and image data based on karst geological and hydrological characteristic information, improving the accuracy and authenticity of karst geological and hydrological data acquisition. The karst geological spatial 3D model construction unit intelligently and accurately models the karst geological spatial structure 3D solid model based on standard karst geological and hydrological characteristic text data, standard karst geological and hydrological characteristic image data, and combined with geological 3D modeling software, realizing digital scientific modeling of the internal structure of karst geographical areas and improving the quality of karst geological water resources scheduling.

[0024] For further details, please refer to Figures 1-2 The total water storage within the karst geological space is measured using a three-dimensional solid model of the karst geological spatial structure, thus obtaining the target karst geological water storage capacity. The water storage and regulation rate of the karst geological space is analyzed and processed based on the three-dimensional solid model of the karst geological spatial structure, and the following are the operational steps for obtaining the target karst geological water storage rate: S21. Based on the three-dimensional spatial model information of karst geology, the total water storage of the non-water-storage space structure inside the karst geology is measured and processed to obtain the water storage of the target karst geology. S22. Based on the karst geological spatial three-dimensional model information and the karst geological spatial three-dimensional model information matrix of different water storage rates, the water storage scheduling rate of karst geology is analyzed and processed to obtain the target karst geological water storage rate.

[0025] The steps for measuring and processing the total water storage of the non-water-storage space structure within karst geology based on 3D spatial model information to obtain the target water storage within karst geology are as follows: S211. Import the 3D spatial model information of karst geology into the data input dialog box of the geological structure analysis software. Based on the 3D solid model of the karst geological spatial structure, the geological structure analysis software measures the total water storage capacity of the non-water-storage space structure inside the karst geology, and obtains the target karst geological internal water storage capacity. The target karst geological internal water storage capacity represents the total water storage capacity of the target karst geographical area during the water resource storage and scheduling process. The unit of the target karst geological internal water storage capacity is cubic meters. The geological structure analysis software includes CFS and ConduitFlowProcessforMODFLOW.

[0026] Based on the 3D spatial model information of karst geology and the 3D spatial structure information matrix of karst geology with different water storage rates, the water storage and regulation rate of karst geology is analyzed and processed to obtain the target karst geological water storage rate. The operation steps are as follows: S221. Establish a three-dimensional model information matrix of standard karst geological spatial structure with different water storage rates. ,in Indicates the first The three-dimensional model information of standard karst geological spatial structures corresponding to different water storage rate types in karst geology; where the karst geological water storage rate type represents the total water storage volume per unit time during the water resource storage and scheduling process of karst geology, and the unit of karst geological water storage rate is cubic meters per second; the three-dimensional model information of standard karst geological spatial structures for different water storage rate types represents the three-dimensional solid model information of standard karst geological spatial structures set for different karst geological water storage rate types. S222, Integrate the karst geological spatial three-dimensional model information with the standard karst geological spatial structure three-dimensional model information matrix at different water storage rates. Three-dimensional model information of standard karst geological spatial structure at different water storage rates Perform feature matching on 3D solid models to search for 3D karst geological spatial structure information with different water storage rates that match the 3D spatial model information. The corresponding karst geological water storage rate is generated, and the target karst geological water storage rate is generated after data identification. The target karst geological water storage rate represents the optimal karst geological water storage rate during water resource storage and scheduling in the target karst geographical area. The unit of the target karst geological water storage rate is cubic meters per second. The specific operation steps for generating the target karst geological water storage rate are as follows: S2221. Initialize parameters and update the maximum number of algorithm iterations T; S2222, Initialize and update water storage rate, search for seagull population information matrix of 3D model of karst geological spatial structure at different water storage rates. The position in the search space; S2223. Calculate the information matrix of the three-dimensional model of standard karst geological spatial structure at different water storage rates. Information on the three-dimensional spatial structure of standard karst geological formations with different water storage rates in the search space. The fitness values ​​of the 3D spatial model information of karst geology are obtained, and the 3D spatial structure information matrix of karst geology is retained at different water storage rates. The search space contains 3D karst geological spatial structure information with the highest fitness value among different water storage rates. The globally optimal position; S2224. Migration, Global Search: Searching for water storage rate. The migration behavior of seagulls mainly involves three steps: first, satisfying the information matrix of the three-dimensional model of karst geological spatial structure under different water storage rate standards. The search space is used to find conditions for seagulls to avoid collisions at different water storage rates; secondly, the information matrix of the three-dimensional model of the standard karst geological spatial structure is calculated at different water storage rates. Search the search space to find standard karst geological spatial structure 3D model information with different water storage rates that match the karst geological spatial 3D model information. The optimal location and orientation; thirdly, based on the optimal matching of different water storage rate standards with the karst geological spatial three-dimensional model information, the karst geological spatial structure three-dimensional model information. Move from the optimal position to the new position; S22241, Calculate the water storage rate and search for the information matrix of the three-dimensional model of the standard karst geological spatial structure at different water storage rates. In the search space, find new locations where the seagull does not collide with adjacent water storage rates during its movement. ; , ;in This represents the information matrix of a three-dimensional model of karst geological spatial structure at different water storage rates, representing a search for seagulls. The current position in the search space. Indicates the current iteration number; This represents the information matrix of a three-dimensional model of karst geological spatial structure at different water storage rates, representing a search for seagulls. Motion behavior in the search space; Indicates control A function of frequency of change Indicates the maximum number of iterations; S22242, Calculate the information matrix of the three-dimensional model of the spatial structure of karst geological space under different water storage rates. Search the search space to find standard karst geological spatial structure 3D model information with different water storage rates that match the karst geological spatial 3D model information. Best location ; , ,in Information matrix representing the three-dimensional model of karst geological spatial structure at different water storage rates Searching the search space for 3D spatial models of karst geological structures with different water storage rates to match the 3D spatial model information of karst geological space. The current best position; A random number representing a balance between global and local search capabilities. This represents a random number within the interval [0, 1]. S22243, Based on the best matching of different water storage rates with the karst geological spatial three-dimensional model information, the karst geological spatial structure three-dimensional model information is used. Move from the optimal position to the new position , That is, based on the direction of the optimal location, the information matrix of the three-dimensional model of the spatial structure of karst geology at different water storage rates. Search the search space to find standard karst geological spatial structure 3D model information with different water storage rates that match the karst geological spatial 3D model information. The new location; S2225. Attacking prey, local search, water storage rate search: seagulls at different water storage rates, standard karst geological spatial structure three-dimensional model information matrix. The search space for attacking and matching different water storage rates with karst geological spatial structure 3D model information. When hunting, the seagull uses a spiral motion in the air to search for the new location of its prey after the attack. , That is, the information matrix of the three-dimensional model of karst geological spatial structure at different water storage rates, which is the search for seagulls at different water storage rates. Search the search space to find standard karst geological spatial structure 3D model information with different water storage rates that match the karst geological spatial 3D model information. The prey; S2226. Determine if the maximum number of iterations is met, then output the standard 3D model information of karst geological spatial structure with different water storage rates that matches the karst geological spatial 3D model information. If not satisfied, return to step S2223; S2227. Based on the 3D model information of standard karst geological spatial structure with different water storage rates that is matched with the karst geological spatial 3D model information output in step S2226, The corresponding karst geological water storage rate is determined, and the target karst geological water storage rate is generated through data identification.

[0027] The karst geological internal water storage measurement unit accurately measures the total water storage of the non-water-storing space structure within the karst geological area based on the 3D spatial model information of the karst geological area and combined with geological structure analysis software. This enables reliable assessment of the water storage capacity of the karst geographical area based on its geological spatial characteristics, thereby improving the accuracy of karst geological water resource allocation. The karst geological water storage rate analysis unit scientifically analyzes the water storage allocation rate of the karst geological area based on the 3D spatial model information of the karst geological area, combined with intelligent search algorithms and 3D spatial structure information of the karst geological area based on big data storage of different water storage rate standards. This enables intelligent matching of the water storage rate of the karst geological area based on its spatial characteristics, achieving intelligent and environmentally friendly karst geological water resource allocation operations, and improving the efficiency and accuracy of karst geological water resource allocation.

[0028] For further details, please refer to Figures 1-2 The operational steps for constructing a summary of karst geological water resource scheduling information and executing karst geological water resource scheduling operations are as follows: S31. The target karst geological internal water storage volume and target karst geological water storage rate are processed by data combination and identification to generate karst geological water resource scheduling summary information. S32. The water resources management platform controls water dispatching equipment to carry out water resource storage and dispatching operations in the target karst geographical area based on the water storage volume and water storage rate corresponding to the karst geological water resources dispatching summary information. The water dispatching equipment includes any one or more of centrifugal pumps, axial flow pumps, and gate opening and closing equipment.

[0029] The karst geological water resource scheduling information generation unit, based on the target karst geological internal water storage capacity and target karst geological water storage rate, combined with data processing, efficiently and timely constructs karst geological water resource scheduling summary information, improving the efficiency of karst geological water resource scheduling response; the karst geological water resource scheduling operation execution unit, based on the karst geological water resource scheduling summary information, combined with the water resource management platform and water scheduling equipment, autonomously and reliably executes water resource storage scheduling operations in the target karst geographical area, realizing the safety and stability of the karst geological water resource scheduling operation execution process, and improving the applicability and reliability of karst geological water resource scheduling.

[0030] Example 2: Please see Figures 1-2 A smart water resources dynamic simulation and regulation system based on karst hydrogeological exploration is used to realize a smart water resources dynamic simulation and regulation method based on karst hydrogeological exploration. The system includes a karst geological model modeling module, a karst geological water resources scheduling parameter analysis module, and a karst geological water resources scheduling execution module. The karst geological modeling module includes a karst geological and hydrological information acquisition unit, a karst geological and hydrological information preprocessing unit, and a karst geological spatial three-dimensional model construction unit. The karst geological and hydrological information acquisition unit collects karst geological and hydrological characteristic information through a water resources management platform. The karst geological and hydrological information preprocessing unit preprocesses the collected karst geological and hydrological information based on the karst geological and hydrological characteristic information, obtaining standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively. The karst geological spatial 3D model construction unit, based on the standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, and combined with geological 3D modeling software, performs 3D solid modeling of the karst geological spatial structure, constructing karst geological spatial 3D model information. The karst geological water resource scheduling parameter analysis module includes a karst geological internal water storage measurement unit, a karst geological spatial structure three-dimensional model storage unit with different water storage rates, and a karst geological water storage rate analysis unit. The karst geological internal water storage measurement unit measures the total water storage of the non-water-storing space structure within the karst geological area based on the karst geological spatial 3D model information and combined with geological structure analysis software, to obtain the target karst geological internal water storage. The standard karst geological spatial structure 3D model storage unit for different water storage rates stores the information of the standard karst geological spatial structure 3D models for different water storage rates. The karst geological water storage rate analysis unit analyzes the water storage scheduling rate of the karst geological area based on the karst geological spatial 3D model information and the standard karst geological spatial structure 3D model information for different water storage rates, to obtain the target karst geological water storage rate. The karst geological water resources scheduling execution module includes a karst geological water resources scheduling information generation unit and a karst geological water resources scheduling operation execution unit; The karst geological water resource scheduling information generation unit generates summary information on karst geological water resource scheduling based on the internal water storage capacity and water storage rate of the target karst geological area and in conjunction with data processing. The karst geological water resource scheduling operation execution unit executes water resource storage scheduling operations in the target karst geographical area based on the summary information on karst geological water resource scheduling and in conjunction with the water resource management platform and water scheduling equipment.

[0031] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart water resources dynamic simulation and regulation method based on karst hydrogeological exploration, characterized in that, The method includes the following steps: S1. Collect karst geological and hydrological characteristic information. Preprocess the collected karst geological and hydrological information into text and images to obtain standard karst geological and hydrological characteristic text data and standard karst geological and hydrological characteristic image data, respectively. Based on the karst geological and hydrological information, model the three-dimensional solid model of the karst geological spatial structure to construct the karst geological spatial three-dimensional model information. S2. Measure the total water storage inside the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage inside the target karst geological space; analyze and process the water storage and dispatch rate of the karst geological space based on the three-dimensional solid model of the karst geological spatial structure to obtain the water storage rate of the target karst geological space. S3. Construct a summary of karst geological water resource scheduling information and execute karst geological water resource scheduling operations.

2. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 1, characterized in that: The operation steps of S1 are as follows: S11. Collect image and text information on the geology and hydrology of the target karst geographical area online through the water resources management platform, and obtain karst geological and hydrological characteristic information; S12. Based on the karst geological and hydrological feature information, the collected karst geological and hydrological information is preprocessed into text data and image data to obtain standard karst geological and hydrological feature text data and standard karst geological and hydrological feature image data, respectively. S13. Based on the standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data, perform three-dimensional solid modeling processing of karst geological spatial structure to construct karst geological spatial three-dimensional model information.

3. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 2, characterized in that: The operation steps of S12 are as follows: S121. The VL-BERT image-text classification algorithm is used to classify the karst geological and hydrological text information and karst geological and hydrological image information in the karst geological and hydrological feature information according to the text data and image data, respectively, to obtain karst geological and hydrological feature text classification data and karst geological and hydrological feature image classification data; S122. The text data denoising preprocessing of the karst geological and hydrological feature text classification data is performed using wavelet transform to obtain standard karst geological and hydrological feature text data. The BM3D algorithm was used to perform image data denoising preprocessing on the karst geological and hydrological feature image classification data to obtain standard karst geological and hydrological feature image data.

4. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 3, characterized in that: The operation steps of S13 are as follows: S131. Obtain the standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data; S132. The standard karst geological and hydrological feature text data and the standard karst geological and hydrological feature image data are sequentially imported into the data input dialog box of the geological 3D modeling software. The geological 3D modeling software performs modeling processing on the 3D solid model of the karst geological spatial structure of the target karst geographical area based on the karst geological and hydrological information to obtain the karst geological spatial 3D model information.

5. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 4, characterized in that: The operation steps of S2 are as follows: S21. Based on the three-dimensional spatial model information of the karst geology, the total water storage of the non-water-storage space structure inside the karst geology is measured and processed to obtain the water storage of the target karst geology. S22. Based on the karst geological spatial three-dimensional model information and the karst geological spatial structure three-dimensional model information matrix with different water storage rates, perform karst geological water storage scheduling rate analysis and processing to obtain the target karst geological water storage rate.

6. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 5, characterized in that: The operation steps of S21 are as follows: S211. Import the information of the three-dimensional model of the karst geological space into the data input dialog box of the geological structure analysis software. Based on the three-dimensional solid model of the karst geological space structure, the geological structure analysis software measures the total water storage capacity of the non-water-storing space structure inside the karst geological space that can store water resources, and obtains the target water storage capacity inside the karst geological space.

7. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 6, characterized in that: The operation steps of S22 are as follows: S221. Establish a three-dimensional model information matrix of standard karst geological spatial structure with different water storage rates. The include ;in Indicates the first Three-dimensional model information of standard karst geological spatial structure corresponding to different water storage rate types of karst geological water storage rate; S222, Combine the karst geological spatial three-dimensional model information with the... The above Perform 3D solid model feature matching to search for matching information from the karst geological spatial 3D model. The corresponding karst geological water storage rate is determined, and a target karst geological water storage rate is generated after data identification. The specific steps for generating the target karst geological water storage rate are as follows: S2221. Initialize parameters and update the maximum number of algorithm iterations T; S2222, Initialize and update water storage rate, search for seagull population as described in the above... The position in the search space; S2223, Calculate the above All of the above in the search space The fitness value of the karst geological spatial three-dimensional model information is obtained and retained in the model. The search space with the highest fitness value for the karst geological spatial three-dimensional model information The globally optimal position; S2224. Migration, Global Search: Water Storage Rate Search. The migratory behavior of seagulls mainly involves three steps, the first being satisfying the conditions described in the... The search space for different water storage rates is used to find conditions under which individual seagulls avoid collisions. The second calculation is in Search the search space to find the information that matches the karst geological spatial three-dimensional model. The optimal location and orientation; thirdly, based on the optimal match with the karst geological spatial three-dimensional model information. Move from the optimal position to the new position; S22241, Calculate water storage rate, search for seagulls in the above... In the search space, find new locations where the seagull does not collide with adjacent water storage rates during its movement. ; S22242, Calculation in the Search the search space to find the information that matches the karst geological spatial three-dimensional model. Best location ; S22243, Based on the best match with the karst geological spatial three-dimensional model information Move from the optimal position to the new position ; S2225, Attacking prey, local search, water storage rate search, seagulls described in the text Attacks in the search space that match the karst geological spatial three-dimensional model information. When hunting, the seagull uses a spiral motion in the air to search for the new location of its prey after the attack. ; S2226. Determine whether the maximum number of iterations is satisfied, and then output the value that matches the karst geological spatial three-dimensional model information. If not satisfied, return to step S2223; S2227. Based on the information output in step S2226 that matches the karst geological spatial three-dimensional model information... The corresponding karst geological water storage rate is determined, and the target karst geological water storage rate is generated through data identification.

8. The intelligent water resource dynamic simulation and regulation method based on karst hydrogeological exploration according to claim 7, characterized in that: The operation steps of S3 are as follows: S31. The target karst geological internal water storage capacity and the target karst geological water storage rate are processed by data combination and identification to generate karst geological water resource scheduling summary information. S32. The water resources management platform controls water dispatching equipment to carry out water resource storage and dispatching operations in the target karst geographical area based on the water storage volume and water storage rate corresponding to the karst geological water resources dispatching summary information. The water dispatching equipment includes any one or more of centrifugal pumps, axial flow pumps, and gate opening and closing equipment.

9. A smart water resources dynamic simulation and control system based on karst hydrogeological exploration, used to implement the smart water resources dynamic simulation and control method based on karst hydrogeological exploration as described in any one of claims 1-8, characterized in that: The system includes a karst geological modeling module, a karst geological water resource scheduling parameter analysis module, and a karst geological water resource scheduling execution module.

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