Underground water intelligent system based on three-dimensional geologic model

Abstract

The invention discloses an underground water intelligent system based on a three-dimensional geological model in the technical field of underground water. The underground water intelligent system comprises the following modules: a three-dimensional geological modeling module; an underground water monitoring module; the data analysis and visualization module is used for carrying out deep mining and analysis on the monitoring data by utilizing big data analysis and machine learning technologies, and identifying a rule and a trend of dynamic change of underground water; the geological change prediction module is used for carrying out numerical simulation on geological change, underground water flow and pollutant migration through the three-dimensional geological model, and predicting future water resource conditions and environmental influences to generate geological prediction data; an early warning and decision support module; and a water resource configuration and protection module. The system is scientific and reasonable, the geological change prediction module is based on a three-dimensional geological model, an advanced numerical simulation technology is applied, underground water flowing, pollutant migration and geological change processes are simulated, and the problem that geological change prediction of the underground water surface is not accurate is solved.

Description

Technical Field

[0001] The present invention belongs to the field of groundwater technology, and specifically is a groundwater intelligent system based on a three-dimensional geological model. Background Art

[0002] With the continuous changes in global climate change and water resource conditions, groundwater, as an important natural resource and strategic reserve resource, has become increasingly important to monitor and manage. In recent years, geological disasters caused by long-term groundwater exploitation and pollution have frequently occurred, such as sinkholes, ground subsidence, ground fissures, karst collapse, seawater intrusion, water pollution, etc. These problems have not only had a serious impact on the environment, but also threatened human production and life safety. Therefore, establishing an efficient and accurate groundwater intelligence system to achieve comprehensive monitoring and scientific management of groundwater has become an important research direction in the current field of water resources management.

[0003] Although the groundwater smart system has made significant progress in technology, it still faces some problems and challenges in its practical application. In terms of geological change prediction, the groundwater system is often closely linked to complex geological structures, which have a significant impact on the flow and storage of groundwater. The groundwater smart system requires more sophisticated geological models to capture these subtle geological changes and consider their impact on the groundwater system.

[0004] In summary, the inaccurate prediction of geological changes on the groundwater surface has become a problem that technicians in this field need to solve urgently. Therefore, it is necessary to propose a groundwater intelligence system based on a three-dimensional geological model. Summary of the invention

[0005] In order to solve the above problems, the purpose of the present invention is to provide a groundwater intelligent system based on a three-dimensional geological model. Through the geological change prediction module, based on the three-dimensional geological model, the groundwater flow, pollutant migration and geological change process are simulated using advanced numerical simulation technology. By simulating the flow path and dissolution rate of groundwater in the karst system, the karst system's ability to sequester carbon dioxide in the atmosphere is predicted; by simulating the interaction between groundwater and surface vegetation ecosystems, the dependence of plant transpiration on groundwater levels and water consumption are estimated; by simulating processes such as heat exchange between groundwater and surface water bodies, the role of groundwater in alleviating the urban heat island effect and regulating regional climate is analyzed. These simulation and prediction results greatly improve the accuracy of geological change predictions.

[0006] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: a groundwater intelligence system based on a three-dimensional geological model, including several pressure water level gauges, several water quality sensors and the following modules:

[0007] Pressure water level gauge: used to collect groundwater pressure and water level information. Pressure water level gauges are deployed in sections according to preset distances.

[0008] Water quality sensor: used to collect groundwater quality information. Water quality sensors are deployed in sections according to preset distances.

[0009] 3D geological modeling module: used to construct 3D geological models based on geological exploration, remote sensing and GIS data. The 3D geological model includes strata, faults and lenses, as well as the spatial relationship between strata, faults and lenses.

[0010] Groundwater monitoring module: used to receive real-time monitoring data from pressure water level gauges and water quality sensors, and transmit it to the data analysis and visualization module after comprehensive analysis and filtering out redundant data.

[0011] Data analysis and visualization module: used to use big data analysis and machine learning technology to conduct in-depth mining and analysis of monitoring data and identify the patterns and trends of groundwater dynamic changes.

[0012] Geological change prediction module: used to perform numerical simulation of geological changes, groundwater flow and pollutant migration through three-dimensional geological models, predict future water resource conditions and environmental impacts, and generate geological prediction data.

[0013] Early warning and decision support module: used to automatically generate early warning information on groundwater pollution, overexploitation and geological disasters based on the analysis results of monitoring data and geological prediction data, and notify relevant personnel of the early warning information.

[0014] Water resources allocation and protection module: used to plan groundwater extraction points and recharge areas, and formulate water resources allocation and protection strategies.

[0015] Furthermore, the 3D geological modeling module realizes the restoration of geological structure through 3D modeling software, and the 3D modeling software includes GeoModeler and Groundwater Modeling System.

[0016] Furthermore, the monitoring data in the groundwater monitoring module is uploaded to the cloud platform in real time through wireless transmission technology. The cloud platform is used to realize remote monitoring and centralized management of the monitoring data. The monitoring data includes water level, water temperature, pH value, dissolved oxygen, turbidity and conductivity data.

[0017] Furthermore, the data analysis and visualization module combines the analysis results with the three-dimensional geological model through three-dimensional visualization technology, and displays the simulated movement process in the form of graphics and animation.

[0018] Furthermore, the early warning and decision support module generates decision information based on the early warning information and historical data. The decision information includes emergency response measures, risk assessment and priority sorting, and governance and repair plans.

[0019] Furthermore, the geological change prediction module integrates the numerical simulation capabilities of karst geological processes. Based on the three-dimensional geological model, it simulates the flow path of groundwater in the karst system, the dissolution rate and the dissolution process of carbonate rocks to predict the karst system's ability to sequester carbon dioxide in the atmosphere.

[0020] Furthermore, the geological change prediction module integrates an interaction model between groundwater and surface vegetation ecosystems. The interaction model estimates the dependence of plant transpiration on groundwater level and water consumption, and then predicts the plant transpiration water consumption pattern under different seasons and climatic conditions by combining three-dimensional geological models, meteorological data, vegetation types and growth conditions.

[0021] Furthermore, the geological change prediction module simulates groundwater flow based on a three-dimensional geological model. By simulating the heat exchange and evaporation between groundwater and surface water bodies, as well as the impact of the rise and fall of groundwater levels on surface temperature, it analyzes the role of groundwater in alleviating the urban heat island effect and regulating regional climate, providing data support for climate adaptation planning and urban planning.

[0022] Furthermore, the geological change prediction module simulates the migration path of groundwater in the aquifer, water quality changes and reserve distribution based on the three-dimensional geological model, predicts the output, quality and sustainable mining period of mineral water, and provides data support for mineral water resource development planning and water quality protection.

[0023] Furthermore, the geological change prediction module formulates a geological environment risk prevention and control strategy by combining ground subsidence, karst collapse, water pollution and ecological damage factors. The geological environment risk prevention and control strategy is used to assist the water resource allocation and protection module in generating water resource allocation and protection strategies.

[0024] The following principles and beneficial effects are achieved by adopting the above scheme:

[0025] 1. The geological change prediction module in the present invention is based on a three-dimensional geological model and uses numerical simulation technology to simulate and predict groundwater flow, pollutant migration and geological change processes. This module not only takes into account the numerical simulation of karst geological processes, but also integrates the interaction model between groundwater and surface vegetation ecosystems, as well as the analysis of the role of groundwater in alleviating the urban heat island effect and regulating regional climate, providing comprehensive data support for water resource management and protection. Ultimately, through high-precision three-dimensional geological modeling and numerical simulation technology, accurate prediction of groundwater systems and their geological changes is achieved, improving the accuracy of predictions.

[0026] 2. The present invention uses 3D modeling software such as GeoModeler and Groundwater Modeling System to construct a high-precision 3D geological model including strata, faults, lenses and their spatial relationships based on multi-source data such as geological exploration, remote sensing and GIS. Through high-precision 3D geological modeling and numerical simulation technology, accurate prediction of groundwater systems and their geological changes is achieved, improving the accuracy of prediction.

[0027] 3. The present invention collects key parameters such as groundwater level, pressure, water temperature, pH value, dissolved oxygen, turbidity and conductivity in real time through monitoring equipment such as pressure water level gauges and water quality sensors, and uploads them to the cloud platform in real time through wireless transmission technology. The cloud platform realizes remote monitoring and centralized management of monitoring data, ensuring the timeliness and accuracy of the data. Through real-time monitoring equipment and cloud platform technology, real-time monitoring and early warning of the groundwater system are realized, and potential water resource problems and geological disasters can be discovered and responded to in a timely manner.

[0028] 4. The present invention uses big data analysis and machine learning technology to conduct in-depth mining and analysis of monitoring data to identify the laws and trends of groundwater dynamic changes. At the same time, through three-dimensional visualization technology, the analysis results are combined with three-dimensional geological models and displayed intuitively in the form of graphics and animation, which improves the intuitiveness of data interpretation.

[0029] 5. The present invention automatically generates early warning information such as groundwater pollution, overexploitation and geological disasters based on the analysis results of monitoring data and geological prediction data, and notifies relevant personnel of the early warning information in a timely manner. At the same time, decision-making information including emergency response measures, risk assessment and priority sorting, governance and restoration plans, etc. is generated based on early warning information and historical data, providing a scientific decision-making basis for water resources management and protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The following is further described in detail through specific implementation methods:

[0032] The embodiment is basically as shown in the attached Figure 1 As shown: A groundwater intelligence system based on a three-dimensional geological model, characterized by: including a number of pressure water level gauges, a number of water quality sensors and the following modules:

[0033] Pressure water level gauge: used to collect groundwater pressure and water level information. Pressure water level gauges are deployed in sections according to preset distances.

[0034] Water quality sensor: used to collect groundwater quality information. Water quality sensors are deployed in sections according to preset distances.

[0035] 3D geological modeling module: It is used to restore geological structures based on geological exploration, remote sensing and GIS data through 3D modeling software, including GeoModeler and Groundwater Modeling System. Finally, a 3D geological model is constructed, which includes strata, faults and lenses, as well as the spatial relationship between strata, faults and lenses.

[0036] Groundwater monitoring module: used to receive real-time monitoring data from pressure water level gauges and water quality sensors, and upload them to the cloud platform in real time through wireless transmission technology. The cloud platform is used to achieve remote monitoring and centralized management of monitoring data. The monitoring data includes water level, water temperature, pH value, dissolved oxygen, turbidity and conductivity data. After comprehensive analysis and filtering out redundant data, it is transmitted to the data analysis and visualization module.

[0037] Data analysis and visualization module: It is used to use big data analysis and machine learning technology to conduct in-depth mining and analysis of monitoring data, identify the laws and trends of groundwater dynamic changes; and then use three-dimensional visualization technology to combine the analysis results with the three-dimensional geological model to display the simulated movement process in the form of graphics and animation.

[0038] Geological change prediction module: used to perform numerical simulation of geological changes, groundwater flow and pollutant migration through three-dimensional geological models, predict future water resource conditions and environmental impacts, and generate geological prediction data.

[0039] The geological change prediction module integrates the numerical simulation capabilities of karst geological processes. Based on the three-dimensional geological model, it simulates the flow path of groundwater in the karst system, the dissolution rate and the dissolution process of carbonate rocks to predict the karst system's ability to sequester carbon dioxide in the atmosphere.

[0040] The geological change prediction module integrates the interaction model of groundwater and surface vegetation ecosystem. The interaction model estimates the dependence of plant transpiration on groundwater level and water consumption, and then predicts the plant transpiration water consumption pattern under different seasons and climatic conditions by combining three-dimensional geological models, meteorological data, vegetation types and growth conditions.

[0041] The geological change prediction module simulates groundwater flow based on a three-dimensional geological model. By simulating the heat exchange between groundwater and surface water, evaporation, and the impact of groundwater level rise and fall on surface temperature, it analyzes the role of groundwater in alleviating the urban heat island effect and regulating regional climate, providing data support for climate adaptation planning and urban planning.

[0042] The geological change prediction module simulates the migration path of groundwater in the aquifer, water quality changes and reserve distribution based on the three-dimensional geological model, predicts the output, quality and sustainable mining period of mineral water, and provides data support for mineral water resource development planning and water quality protection.

[0043] The geological change prediction module formulates a geological environment risk prevention and control strategy by combining ground subsidence, karst collapse, water pollution and ecological damage factors. The geological environment risk prevention and control strategy is used to assist the water resource allocation and protection module in generating water resource allocation and protection strategies.

[0044] Early warning and decision support module: It is used to automatically generate early warning information on groundwater pollution, overexploitation and geological disasters based on the analysis results of monitoring data and geological prediction data, and notify relevant personnel of the early warning information; then generate decision information based on the early warning information and historical data, and the decision information includes emergency response measures, risk assessment and priority sorting, and governance and restoration plans.

[0045] Water resources allocation and protection module: used to plan groundwater extraction points and recharge areas, and formulate water resources allocation and protection strategies.

[0046] Specific implementation steps:

[0047] First, they are deployed at groundwater monitoring points at preset distances to collect groundwater pressure and water level information in real time. Then, they are deployed at preset distances to collect groundwater information including water level, water temperature, pH value, dissolved oxygen, turbidity and conductivity.

[0048] The 3D geological modeling module uses GeoModeler and Groundwater Modeling System 3D modeling software to construct a high-precision 3D geological model including strata, faults, lenses and their spatial relationships based on multi-source data such as geological exploration, remote sensing and GIS. The 3D geological model provides the basis for subsequent geological change prediction and data analysis.

[0049] The groundwater monitoring module receives real-time monitoring data from the pressure water level gauge and water quality sensor, and uploads it to the cloud platform in real time through wireless transmission technology. The cloud platform enables remote monitoring and centralized management of data to ensure the timeliness and accuracy of the data. The monitoring module is also responsible for comprehensive analysis and filtering out redundant data, and transmitting valid data to the data analysis and visualization module.

[0050] The data analysis and visualization module uses big data analysis and machine learning technology to conduct in-depth mining and analysis of monitoring data to identify the laws and trends of groundwater dynamic changes. Through 3D visualization technology, the analysis results are combined with the 3D geological model to intuitively display the simulated movement process in the form of graphics and animation, improving the convenience and intuitiveness of data interpretation.

[0051] The geological change prediction module uses numerical simulation technology based on a three-dimensional geological model to predict geological changes, groundwater flow and pollutant migration. Predict the flow path of groundwater in the karst system, the dissolution rate and the dissolution process of carbonate rocks, and evaluate the karst system's ability to store atmospheric carbon dioxide. Estimate the dependence of plant transpiration on groundwater levels and water consumption, and predict the law of plant transpiration water consumption under different seasons and climatic conditions. Analyze the heat exchange and evaporation between groundwater and surface water bodies and their impact on surface temperature, and evaluate the role of groundwater in alleviating the urban heat island effect and regulating regional climate. Simulate the migration path, water quality changes and reserve distribution of groundwater in aquifers, and predict the output, quality and sustainable mining period of mineral water. Finally, a geological environmental risk prevention and control strategy is formulated in combination with ground subsidence, karst collapse, water pollution and ecological damage factors.

[0052] The early warning and decision support module automatically generates early warning information on groundwater pollution, overexploitation and geological disasters based on the analysis results of monitoring data and geological prediction data, and notifies relevant personnel of the early warning information in a timely manner. At the same time, decision-making information including emergency response measures, risk assessment and priority sorting, governance and restoration plans, etc. is generated based on early warning information and historical data, providing a scientific decision-making basis for water resources management and protection.

[0053] The water resources allocation and protection module rationally plans groundwater extraction points and recharge areas based on the results of the geological change prediction module and the early warning and decision support module, formulates water resources allocation and protection strategies, and ensures the sustainable use of water resources and the protection of the ecological environment.

[0054] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A groundwater intelligence system based on a three-dimensional geological model, characterized by: It includes several pressure water level gauges, several water quality sensors and the following modules: Pressure water level gauge: used to collect groundwater pressure and water level information. Pressure water level gauges are deployed in sections according to preset distances. Water quality sensor: used to collect groundwater quality information. Water quality sensors are deployed in sections according to preset distances. 3D geological modeling module: used to construct 3D geological models based on geological exploration, remote sensing and GIS data. The 3D geological model includes strata, faults and lenses, as well as the spatial relationship between strata, faults and lenses. Groundwater monitoring module: used to receive real-time monitoring data from pressure water level gauges and water quality sensors, and transmit it to the data analysis and visualization module after comprehensive analysis and filtering out redundant data; Data analysis and visualization module: used to use big data analysis and machine learning technology to conduct in-depth mining and analysis of monitoring data and identify the laws and trends of groundwater dynamic changes; Geological change prediction module: used to perform numerical simulation of geological changes, groundwater flow and pollutant migration through three-dimensional geological models, predict future water resource conditions and environmental impacts, and generate geological prediction data; Early warning and decision support module: used to automatically generate early warning information on groundwater pollution, overexploitation and geological disasters based on the analysis results of monitoring data and geological prediction data, and notify relevant personnel of the early warning information; Water resources allocation and protection module: used to plan groundwater extraction points and recharge areas, and formulate water resources allocation and protection strategies.

2. The groundwater intelligence system based on the three-dimensional geological model according to claim 1 is characterized in that: The 3D geological modeling module restores the geological structure through 3D modeling software, which includes GeoModeler and Groundwater Modeling System.

3. The groundwater intelligence system based on the three-dimensional geological model according to claim 2 is characterized in that: The monitoring data in the groundwater monitoring module is uploaded to the cloud platform in real time through wireless transmission technology. The cloud platform is used to realize remote monitoring and centralized management of the monitoring data. The monitoring data includes water level, water temperature, pH value, dissolved oxygen, turbidity and conductivity data.

4. The groundwater intelligence system based on the three-dimensional geological model according to claim 3 is characterized by: The data analysis and visualization module combines the analysis results with the three-dimensional geological model through three-dimensional visualization technology, and displays the simulated movement process in the form of graphics and animation.

5. The groundwater intelligence system based on the three-dimensional geological model according to claim 4 is characterized in that: The early warning and decision support module generates decision information based on early warning information and historical data. The decision information includes emergency response measures, risk assessment and priority sorting, and governance and repair plans.

6. The groundwater intelligence system based on the three-dimensional geological model according to claim 5 is characterized by: The geological change prediction module integrates the numerical simulation capabilities of karst geological processes. Based on the three-dimensional geological model, it simulates the flow path of groundwater in the karst system, the dissolution rate and the dissolution process of carbonate rocks to predict the karst system's ability to sequester carbon dioxide in the atmosphere.

7. The groundwater intelligence system based on a three-dimensional geological model according to claim 6 is characterized in that: The geological change prediction module integrates the interaction model of groundwater and surface vegetation ecosystem. The interaction model estimates the dependence of plant transpiration on groundwater level and water consumption, and then predicts the plant transpiration water consumption pattern under different seasons and climatic conditions by combining three-dimensional geological models, meteorological data, vegetation types and growth conditions.

8. The groundwater intelligence system based on the three-dimensional geological model according to claim 7 is characterized by: The geological change prediction module simulates groundwater flow based on a three-dimensional geological model. By simulating the heat exchange between groundwater and surface water, evaporation, and the impact of groundwater level rise and fall on surface temperature, it analyzes the role of groundwater in alleviating the urban heat island effect and regulating regional climate, providing data support for climate adaptation planning and urban planning.

9. The groundwater intelligence system based on a three-dimensional geological model according to claim 8, characterized in that: The geological change prediction module simulates the migration path of groundwater in the aquifer, water quality changes and reserve distribution based on the three-dimensional geological model, predicts the output, quality and sustainable mining period of mineral water, and provides data support for mineral water resource development planning and water quality protection.

10. The groundwater intelligence system based on three-dimensional geological model according to claim 9, characterized in that: The geological change prediction module formulates a geological environment risk prevention and control strategy by combining ground subsidence, karst collapse, water pollution and ecological damage factors. The geological environment risk prevention and control strategy is used to assist the water resource allocation and protection module in generating water resource allocation and protection strategies.

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