A groundwater level monitoring system and method

Abstract

The present invention discloses a groundwater level monitoring system and method, the system comprising: a collection terminal for acquiring groundwater level data, surface water level data, surface water flow data, water consumption data, the number of water wells, the water well pipeline pressure and environmental data; a data processing system for predicting the groundwater level in the next time period according to the groundwater level data, surface water level data, surface water flow data, water consumption data, the number of water wells, the water well pipeline pressure and environmental data, and obtaining the groundwater level prediction value; obtaining the groundwater level change trend according to the groundwater level data and the groundwater level prediction value; and a visualization platform for displaying the groundwater level change trend. Accurate prediction of the groundwater level is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of groundwater level prediction, and in particular to a groundwater level monitoring system and method. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Groundwater level prediction is crucial for the rational development and management of water resources. By accurately predicting the changing trend of groundwater levels, a scientific basis can be provided for long-term planning of water sources, artificial recharge, waterlogging prevention and waterlogging control, and salinization control. The groundwater level deduction model has many advantages. First, it can achieve high-precision simulation and prediction, providing reliable data support for decision makers. The system has strong adaptability and can be customized according to the actual conditions of different regions to ensure the accuracy and practicality of the simulation results. In addition, the groundwater level deduction model also has a high degree of visualization ability, which can present the complex groundwater dynamic change process in an intuitive way, which is convenient for users to understand and apply. In summary, the groundwater level deduction model plays an irreplaceable role in hydrogeological research and practice.

[0004] At present, when predicting groundwater levels, only the known groundwater level data is used to predict the groundwater level data for future time periods; without considering the impact of surface water, water use and environment on groundwater levels, resulting in inaccurate prediction of groundwater levels. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes a groundwater level monitoring system and method, which comprehensively considers the impact of surface water, water use and environment on the groundwater level and realizes accurate prediction of the groundwater level.

[0006] To achieve the above object, the present invention adopts the following technical solution: In the first aspect, a groundwater level monitoring system is proposed, comprising: Collection terminal, used to obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; A data processing system is used to predict the groundwater level in the next time period based on groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data to obtain a groundwater level prediction value; and to obtain a groundwater level change trend based on the groundwater level data and the groundwater level prediction value; A visualization platform is used to display the changing trend of groundwater levels.

[0007] Further, the data processing system is used to divide the groundwater level data in the time dimension; calculate the statistical characteristics of all groundwater level data in each time dimension; A visualization platform is used to display the statistical characteristics of all groundwater level data in each time dimension.

[0008] Furthermore, the data processing system is also used to formulate water resource management strategies based on the trend of groundwater level changes; The visualization platform is also used to display the changing trends of groundwater levels and the formulated water resource management strategies.

[0009] Furthermore, the data processing system is also used to predict geological disasters according to the trend of groundwater level changes and obtain geological disaster prediction results; The visualization platform is also used to display geological disaster prediction results.

[0010] Furthermore, the environmental data acquired by the collection terminal include the amount of rain and snow, evaporation, controlled temperature and humidity, wind speed and direction, and soil temperature and humidity.

[0011] Furthermore, the data processing system is also used to determine the correlation between groundwater level and surface water flow, groundwater level and water consumption, groundwater level and number of water wells, groundwater level and water well pipeline pressure, and groundwater level and environmental data based on groundwater level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure, and environmental data.

[0012] Furthermore, it also includes a controller; The collection terminal is also used to obtain water extraction instructions and well flushing instructions; The controller is used to control the water intake equipment and the well flushing equipment according to the water intake instruction and the well flushing instruction.

[0013] Furthermore, it also includes a power supply system; Power supply system, used to supply power to the data processing system and visualization platform.

[0014] In the second aspect, a groundwater level monitoring method is proposed, comprising: Obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; According to the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data, the groundwater level in the next time period is predicted to obtain the predicted groundwater level value; Based on the groundwater level data and groundwater level prediction values, the groundwater level change trend is obtained and displayed.

[0015] Furthermore, the groundwater level change trend is determined through groundwater level data and groundwater level prediction values; Formulate water resource management strategies and predict geological disasters based on the changing trends of groundwater levels.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a groundwater level monitoring system and method. The system collects groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data through a collection terminal; the data processing system comprehensively calculates the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data to predict the groundwater level in the next time period, thereby improving the accuracy of groundwater level prediction. In addition, according to the predicted groundwater level prediction value and the acquired groundwater level data, the groundwater level change trend is obtained and displayed, thereby realizing the intuitive display of the groundwater level change trend.

[0017] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0019] Figure 1 The present invention is a structural block diagram of a groundwater level monitoring system disclosed in an embodiment. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are illustrative and are intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present application belongs.

[0022] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0023] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0024] Example 1 In the field of geohydrology and water resources, groundwater is an important component of water resources. The deduction of groundwater involves the study of groundwater movement, recharge, and discharge in hydrology. Using models to analyze and predict changes in groundwater levels, water flow direction, and water volume is essential for the rational development, utilization, and management of water resources. For example, the groundwater deduction model can be used to determine the amount of groundwater that can be exploited in a certain area, providing a basis for water resources planning.

[0025] In the field of geology, the distribution and movement of groundwater are closely related to geological structure and stratum characteristics. When establishing a groundwater deduction model, geological factors need to be considered, such as the type, thickness, and permeability of aquifers, as well as the impact of geological structure on groundwater flow. The model may construct a conceptual model of the groundwater flow system based on geological data and geological theory to more accurately simulate the behavior of groundwater. For example, when studying groundwater in karst areas, it is necessary to combine the unique local geological and geomorphological characteristics to construct a model.

[0026] In the field of environmental science, changes in groundwater can have many impacts on the environment, such as affecting soil moisture, vegetation growth, and interaction with surface water. Groundwater simulation models can be used to assess the impact of human activities (such as urbanization, agricultural irrigation, industrial emissions, etc.) on the groundwater environment, as well as to predict the spread and migration of groundwater pollution, and provide support for environmental protection and pollution control. For example, the model can be used to simulate the spread of pollutants discharged by a factory in groundwater to formulate corresponding control measures.

[0027] Among them, the construction of groundwater simulation models requires the use of numerical simulation methods and computing techniques. Numerical methods such as finite difference method, finite element method, boundary element method, etc. are widely used to solve partial differential equations of groundwater movement. At the same time, with the development of computer technology, the application of high-performance computing and complex algorithms enables the processing of more complex groundwater flow problems and large-scale data. Model developers need to have a solid foundation in mathematics and computational science to achieve efficient operation and accurate solution of the model.

[0028] The groundwater simulation model can be regarded as a complex system involving the interaction of multiple factors and variables. From a system perspective, it is necessary to comprehensively consider the input data (such as precipitation, evaporation, hydrogeological parameters, etc.), model structure and parameters, output results, and model uncertainty. In practical applications, it is also necessary to couple the model with other related systems (such as surface water systems, ecosystems, etc.) to comprehensively evaluate the impact of groundwater on the entire ecological and environmental system. The methods and concepts of system engineering help to optimize the design, implementation, and management of the model and improve the reliability and practicality of the model.

[0029] Groundwater level prediction is crucial for the rational development and management of water resources. By accurately predicting the changing trend of groundwater levels, a scientific basis can be provided for long-term planning of water sources, artificial recharge, waterlogging prevention and waterlogging control, salinization and alkali treatment, etc. The groundwater level deduction model has many advantages. First, it can achieve high-precision simulation and prediction, and provide reliable data support for decision makers. A groundwater level monitoring system disclosed in this embodiment has strong adaptability and can be customized according to the actual conditions of different regions to ensure the accuracy and practicality of the simulation results. In addition, the groundwater level deduction model also has a high degree of visualization capability, which can present the complex groundwater dynamic change process in an intuitive way, which is convenient for users to understand and apply. In summary, the groundwater level deduction model plays an irreplaceable role in hydrogeological research and practice. Through this system, the dynamic changes of groundwater levels can be predicted and evaluated more scientifically, providing strong support for the protection and management of groundwater resources.

[0030] The groundwater level monitoring system disclosed in this embodiment has the advantages of high efficiency, accuracy, flexibility, etc. It can quickly process a large amount of data and accurately simulate the dynamic change process of the groundwater level. It also has good adaptability and scalability, and can be customized according to actual needs to meet the application needs of different fields.

[0031] A groundwater level monitoring system disclosed in this embodiment is described in detail.

[0032] This embodiment discloses a groundwater level monitoring system, such as Figure 1 As shown, including: Collection terminal, used to obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; A data processing system is used to predict the groundwater level in the next time period based on groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data to obtain a groundwater level prediction value; and to obtain a groundwater level change trend based on the groundwater level data and the groundwater level prediction value; A visualization platform is used to display the changing trend of groundwater levels.

[0033] Among them, the environmental data obtained by the collection terminal include rainfall and snow amount, evaporation amount, controlled temperature and humidity, wind speed and direction, and soil temperature and humidity.

[0034] This embodiment obtains groundwater level data through a groundwater level monitoring unit; obtains surface water level data through a surface water level monitoring unit; obtains surface water flow through a surface water flow monitoring unit; obtains water consumption data through a water consumption monitoring unit; obtains the number of water wells through a water well number monitoring unit; obtains the water well pipeline pressure through a water well pipeline pressure monitoring unit; and obtains environmental data through an environmental data monitoring unit.

[0035] Each monitoring unit is connected to the collection terminal through wires and local area networks; the collection terminal summarizes the data obtained by each monitoring unit and transmits the data to the database through the 5G network or wired transmission.

[0036] Preferably, the groundwater level monitoring unit uses a drop-in water level meter to be dropped into the water well to collect groundwater level data in real time; the surface water level monitoring unit uses radar water level meters distributed in open channels, lakes, and reservoirs to monitor the water level in real time. The surface water flow monitoring unit mainly includes an open channel flow monitoring unit and a reservoir inlet and outlet flow monitoring unit. The open channel flow monitoring unit uses a radar flow measurement system to monitor the flow of the inlet and outlet of the surface channel (including natural rivers and artificial open channels). A single radar flow meter is used for flow monitoring in channels below 10 meters, an array radar flow measurement system is used for flow monitoring in channels between 10 and 100 meters, and an intelligent flow measurement vehicle is used for flow monitoring in channels above 100 meters. The water consumption monitoring unit includes the community water consumption monitoring unit, agricultural irrigation water consumption monitoring unit, industrial water consumption monitoring unit and building water consumption monitoring unit. The community water consumption monitoring unit is mainly distributed at the water inlet of the main pipeline of the community, and uses an ultrasonic flow meter to monitor the water consumption of the community. The agricultural irrigation water consumption monitoring unit, the industrial water consumption monitoring unit and the building water consumption monitoring unit are mainly distributed on the main pipeline at the water intake well mouth, and use an ultrasonic flow meter to monitor the water intake in real time. The water intake well pipeline pressure monitoring unit uses a pressure transmitter to monitor the water pressure in the water intake well pipeline in real time. The environmental monitoring unit includes a rain and snow monitoring unit, an evaporation monitoring unit, an air temperature and humidity monitoring unit, a wind speed and direction monitoring unit and a soil temperature and humidity monitoring unit. The rain and snow monitoring unit uses a rain and snow meter as the main monitoring system and is evenly distributed in a certain area to obtain the rainfall and snowfall conditions in the area. The air temperature and humidity monitoring unit, wind speed and direction monitoring unit and soil temperature and humidity monitoring unit adopt the traditional monitoring station mode to monitor the air temperature and humidity, wind speed and direction and soil temperature and humidity in the area in real time; determine the evaporation according to the air temperature and humidity, wind speed and direction and soil temperature and humidity; the monitoring station transmits the monitoring data and the equipment operation status to the database in real time through the acquisition terminal. In addition to using the traditional monitoring station monitoring, the evaporation monitoring unit also uses full coverage, high temporal and spatial resolution and non-contact remote sensing technology monitoring methods to monitor surface temperature, vegetation index, wind speed and humidity parameters, and uses the Penman formula to calculate evaporation. It also has an automatic alarm function. When the evaporation exceeds the set normal range, the system can automatically issue an alarm to remind the management personnel to take corresponding measures to prevent ecological problems caused by excessive evaporation of water. The water well quantity monitoring unit adopts satellite remote sensing measurement method. Through satellite images and geographic information system (GIS) technology, detailed information of large areas of land can be quickly obtained, including area, shape and terrain. By comparing photos of the same land at different times to determine the number of water wells, the photos taken by Beidou system satellites can be accurate to 1 to 2.5 meters.

[0037] The data processing system extracts groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data from the database; determines the predicted groundwater level value for the next time period based on the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure, environmental data and groundwater deduction model; and obtains the trend of groundwater level changes based on the groundwater level data and the predicted groundwater level.

[0038] Groundwater simulation models play an important role in the evaluation and management of groundwater resources. Using groundwater simulation models, the temporal and spatial distribution of groundwater seepage, recharge and discharge in large-scale areas can be calculated, thereby evaluating the quantity and quality of groundwater resources. Groundwater simulation models can also be used to predict the changing trend of groundwater levels, providing a scientific basis for the sustainable use of groundwater resources.

[0039] Groundwater simulation models are models that can describe and predict the movement of groundwater flow. These models are based on the characteristics of the groundwater system and can reproduce or replicate the actual groundwater flow system or process state. The following is a detailed introduction to groundwater simulation models: The groundwater deduction model of this embodiment adopts a discrete mathematical model; it is established based on the similarity principle between electric current (Ohm's law) and water flow (Darcy's law); it uses discrete function values ​​and adopts finite difference method for calculation.

[0040] The groundwater simulation model is based on five major "Sky" models, including the Intelligent River Basin Runoff and Flood Forecasting Model (SkyRyCF), Soil Erosion Model (SkySeMoD), General Groundwater Model (SkyCoMuS), General Sediment Mathematical Model (SkySeDiT) and Water Resources Allocation Model (SkyWasm). They are five modules in the groundwater simulation model software, with an embedded finite difference simulation program and integrated conceptual layer modeling components. The software integrates data management, graphic modeling, and application service functions.

[0041] The data processing system first extracts the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data from the database and compiles them into reports; secondly, the reports are imported into the five major "Sky" models, and the data in the reports are used as boundary conditions and initial conditions to generate basic model data and save them in the form of files; finally, the data processing system extracts the data files generated by the five major "Sky" models, and at the same time imports hydrogeological map data, drilling data, four-section data of geological maps, aquifer parameter data, hydrogeological data, surface water system distribution model data, and digital elevation model (DEM) data, and finally forms a groundwater deduction model to obtain the trend of groundwater level changes.

[0042] The steps for obtaining the groundwater level change trend include: Import maps: Import the topographic map of the area where the monitored groundwater is located and other relevant maps into the groundwater deduction model software, and make sure they have coordinates to obtain the initial model.

[0043] Generate grid: Generate a grid for the entire groundwater area, encrypt the pollution source area, and obtain a grid-divided model.

[0044] Set initial conditions and boundary conditions: Set the initial water head in the meshed model according to the acquired groundwater level data, and set the surrounding boundary conditions and well boundary conditions according to the acquired surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data.

[0045] Set medium properties: assign medium properties such as permeability coefficient and water content to finite elements.

[0046] Run the model: After setting parameters such as the time step, a groundwater simulation model is obtained. Run the model to obtain the groundwater level prediction results and the groundwater level change trend including groundwater level data and groundwater level prediction values.

[0047] The data processing system disclosed in this embodiment extracts data from the database by back-end processing, and then pre-processes the extracted data. The pre-processing includes removing outliers and filling in missing values; removing outliers: identifying and removing data points that are obviously deviated from the normal range, and extremely high or low values ​​caused by monitoring unit failures or other abnormal conditions. Filling in missing values, this embodiment uses different methods to fill in missing data according to specific circumstances. Preferably, linear interpolation is used to estimate the size of missing values ​​through linear calculation based on known data at adjacent time points.

[0048] Standardize or normalize the preprocessed data to obtain the converted data; standardize or normalize the data to make the data from different monitoring points or different time periods comparable. Standardization usually converts the data into a distribution with a mean of 0 and a standard deviation of 1; while normalization maps the data to [0, 1] or other specific intervals. In addition, for some groundwater level data that show an exponential growth or decay trend, logarithmic transformation can make its trend more linear, which is convenient for model analysis and processing.

[0049] The data processing system of this embodiment is also used to divide the groundwater level data in the time dimension; calculate the statistical characteristics of all groundwater level data in each time dimension; A visualization platform is used to display the statistical characteristics of all groundwater level data in each time dimension.

[0050] Among them, the time dimension includes year, month, season, day of the week and hour; the statistical characteristics include mean, median, variance, maximum and minimum value; by statistically analyzing the groundwater level data in the time dimension, the groundwater level situation in a certain period of time can be displayed.

[0051] This embodiment takes into account that the change of groundwater level has a certain time lag, that is, the water level at the current moment may be affected by the water level in the past period of time. The groundwater level data of the previous day, week, month, etc. are input into the groundwater level deduction model as the characteristics of the current moment as the initial water head; the surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data are used as boundary conditions of the groundwater level deduction model to calculate the predicted value of the groundwater level in the next period, and finally obtain the trend of groundwater level changes.

[0052] The data processing system of this embodiment is also used to formulate water resource management strategies according to the trend of groundwater level changes; The visualization platform is also used to display the changing trends of groundwater levels and the formulated water resource management strategies.

[0053] The water resources management strategy formulated includes planning the rational use of water resources, formulating flood control and drought relief strategies, determining the amount and time of groundwater extraction, etc. For example, in some drought-stricken areas, after the model predicts the continuous decline in groundwater levels, water-saving measures can be taken in advance or new water sources can be found.

[0054] Assist in determining the appropriate amount and time of groundwater extraction to avoid excessive extraction that may lead to a sharp drop in groundwater levels, ground subsidence, and other problems. At the same time, it also helps to rationally allocate the use of surface water and groundwater and improve the comprehensive utilization efficiency of water resources.

[0055] The data processing system of this embodiment is also used to predict geological disasters according to the trend of groundwater level changes and obtain geological disaster prediction results; The visualization platform is also used to display geological disaster prediction results.

[0056] Changes in groundwater levels are closely related to the occurrence of geological disasters, such as landslides and ground collapse. By analyzing the relationship between groundwater level changes and geological disasters through models, we can provide early warning of disaster risks and provide support for disaster prevention and mitigation work.

[0057] The data processing system of this embodiment is also used to draw a histogram, a box plot, and a scatter plot of each monitoring unit according to the location of each monitoring unit, so as to intuitively understand the distribution, concentration trend, and dispersion degree of each monitoring unit.

[0058] The data processing system of this embodiment is also used to determine the correlation between the groundwater level and surface water flow, the groundwater level and water consumption, the groundwater level and the number of water wells, the groundwater level and the water well pipeline pressure, and the groundwater level and environmental data based on the groundwater level data, surface water flow data, water consumption data, the number of water wells, the water well pipeline pressure, and the environmental data.

[0059] Based on the correlation between groundwater level and water consumption, groundwater level and number of water wells, and groundwater level and pressure of water well pipelines, the degree of interference of human activities such as urban construction, agricultural irrigation, and industrial water use on groundwater level is evaluated. For example, large-scale urban construction may lead to a drop in groundwater level. The model can quantify this impact and provide a basis for the formulation of sustainable development policies to reduce the adverse impact of human activities on groundwater resources.

[0060] According to the correlation between groundwater level and surface water flow and between groundwater level and environmental data, the impact of groundwater level changes on the surrounding ecological environment, such as the stability of wetland ecosystems, vegetation growth, etc., is determined, thus providing a scientific basis and decision-making support for protecting the ecological environment and maintaining ecological balance.

[0061] The data processing system disclosed in this embodiment plots the groundwater level data and the predicted groundwater level value into a line graph or a bar graph in chronological order to observe the changing trend of the groundwater level over time.

[0062] The groundwater level monitoring system proposed in this embodiment also includes a controller; The collection terminal is also used to obtain water extraction instructions and well flushing instructions; The controller is used to control the water intake equipment and the well flushing equipment according to the water intake instruction and the well flushing instruction.

[0063] The collection terminal obtains water extraction instructions and well flushing instructions in the following ways: the user sends water extraction instructions and well flushing instructions to the collection terminal through the network platform and the client; the platform automatically generates a decision based on the data sent to the database by the collection terminal, combined with the threshold set by the user, water use conditions and parameters of the monitoring well, and sends the instruction to the collection terminal.

[0064] The controller and the acquisition terminal are connected via a network cable. After receiving the command, the acquisition terminal transmits the command to the controller, and the controller works according to the type of command. Local interaction is operated through the display screen and buttons on the controller.

[0065] The underground water level monitoring system proposed in this embodiment also includes a power supply system; Power supply system, used to supply power to the data processing system and visualization platform.

[0066] The power supply system adopts the mains-solar complementary power supply system, including solar panels, solar controllers, battery packs, and mains intelligent switchers; the solar panels convert the sun's radiation into electrical energy, which is sent to the battery for storage while driving the load. The solar charge controller protects the battery from overcharge and over-discharge; the battery is a colloid battery and can be used in low temperature environments. The mains intelligent switcher automatically switches to mains output when the battery is exhausted in multiple rainy days, complementing the mains and making the power supply system more stable.

[0067] The present embodiment discloses a groundwater level monitoring system, which collects groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data through a collection terminal; the data processing system integrates the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data to predict the groundwater level in the next time period, thereby improving the accuracy of groundwater level prediction. In addition, according to the predicted groundwater level prediction value and the acquired groundwater level data, the groundwater level change trend is obtained and displayed, thereby realizing the intuitive display of the groundwater level change trend.

[0068] Example 2 In this embodiment, a groundwater level monitoring method is disclosed, comprising: Obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; According to the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data, the groundwater level in the next time period is predicted to obtain the predicted groundwater level value; Based on the groundwater level data and groundwater level prediction values, the groundwater level change trend is obtained and displayed.

[0069] Furthermore, the groundwater level change trend is determined through groundwater level data and groundwater level prediction values; Formulate water resource management strategies and predict geological disasters based on the changing trends of groundwater levels.

[0070] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A groundwater level monitoring system, characterized in that: include: Collection terminal, used to obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; A data processing system is used to predict the groundwater level in the next time period based on groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data to obtain a groundwater level prediction value; and to obtain a groundwater level change trend based on the groundwater level data and the groundwater level prediction value; A visualization platform is used to display the changing trend of groundwater levels.

2. A groundwater level monitoring system as claimed in claim 1, characterized in that: A data processing system is used to divide the groundwater level data in the time dimension; calculate the statistical characteristics of all groundwater level data in each time dimension; A visualization platform is used to display the statistical characteristics of all groundwater level data in each time dimension.

3. A groundwater level monitoring system as claimed in claim 1, characterized in that: The data processing system is also used to develop water resource management strategies based on groundwater level trends; The visualization platform is also used to display the changing trends of groundwater levels and the formulated water resource management strategies.

4. A groundwater level monitoring system as claimed in claim 1, characterized in that: The data processing system is also used to predict geological disasters based on the trend of groundwater level changes and obtain geological disaster prediction results; The visualization platform is also used to display geological disaster prediction results.

5. The underground water level monitoring system according to claim 1, characterized in that: The environmental data acquired by the collection terminal include rainfall and snow volume, evaporation, controlled temperature and humidity, wind speed and direction, and soil temperature and humidity.

6. A groundwater level monitoring system as claimed in claim 1, characterized in that: The data processing system is also used to determine the correlation between the groundwater level and surface water flow, the groundwater level and water consumption, the groundwater level and the number of water wells, the groundwater level and the water well pipeline pressure, and the groundwater level and environmental data based on the groundwater level data, surface water flow data, water consumption data, the number of water wells, the water well pipeline pressure, and the environmental data.

7. A groundwater level monitoring system as claimed in claim 1, characterized in that: Also includes a controller; The collection terminal is also used to obtain water extraction instructions and well flushing instructions; The controller is used to control the water intake equipment and the well flushing equipment according to the water intake instruction and the well flushing instruction.

8. A groundwater level monitoring system as claimed in claim 1, characterized in that: It also includes the power supply system; Power supply system, used to supply power to the data processing system and visualization platform.

9. A method for monitoring groundwater level, characterized in that: include: Obtain groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data; According to the groundwater level data, surface water level data, surface water flow data, water consumption data, number of water wells, water well pipeline pressure and environmental data, the groundwater level in the next time period is predicted to obtain the predicted groundwater level value; Based on the groundwater level data and groundwater level prediction values, the groundwater level change trend is obtained and displayed.

10. A method for monitoring groundwater level according to claim 1, characterized in that: Determine the trend of groundwater level change through groundwater level data and groundwater level prediction; Formulate water resource management strategies and predict geological disasters based on the changing trends of groundwater levels.

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