Hydrogeological Exploration System Based on Intelligent Control of Water Intake

Abstract

The present invention belongs to the technical field of hydrogeological exploration, and specifically discloses a hydrogeological exploration system based on intelligent control of water extraction volume, which includes a power supply module, a monitoring instrument component, a data acquisition and transmission subsystem, a ground detection base station, a control and analysis subsystem, and an early warning subsystem; the monitoring instrument component is used to monitor the groundwater parameters in the exploration well; the data acquisition and transmission subsystem is used to send the detection samples to the ground detection base station; the control and analysis subsystem is used to calculate the safe water extraction volume during the water extraction time, and the early warning and monitoring subsystem is used to give early warnings to the water level and water extraction volume. The present invention detects the porosity of the rock and soil samples of the groundwater rock formation by combining in-well monitoring and ground detection of sampling. During the process of groundwater extraction, the extraction volume is monitored in real time, the hydrogeological dynamics can be grasped in time, and early warnings are given to the extraction volume and the groundwater level in real time, achieving the effects of early detection, early prediction, and early prevention of water damage accidents.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydrogeological exploration, and particularly relates to a hydrogeological exploration system based on intelligent control of water extraction volume. Background Art

[0002] Hydrogeological exploration work can explore and analyze the location of groundwater, reasonable extraction volume, and the impact of groundwater on the engineering geological properties of the construction project area, and then make an objective evaluation and prediction.

[0003] Chinese Patent with publication number CN105091943A discloses an online monitoring system for underground water resources, which connects a fixed number of water level and water quality multi-parameter detectors to a remote main system through wireless network technology, used to record and analyze the data information of each water level and water quality multi-parameter detector, and can realize functions such as data calibration, real-time display, data analysis, and data download, and realize the determination of groundwater level and water quality in the entire polluted field area. For the extraction volume of groundwater, many factors should be considered. For example, the specific yield, specific retention, and water capacity of the groundwater rock stratum will all affect the extraction of groundwater, and the specific yield of the groundwater rock stratum under different gravity actions is also different. Therefore, not only the extraction volume needs to be monitored in real time before and during the extraction of groundwater, but also a reasonable extraction volume needs to be determined before extraction and updated in real time during extraction. Summary of the Invention

[0004] The purpose of the present invention is to overcome the defect that the allowable extraction volume cannot be updated in real time in the prior art, and provide a hydrogeological exploration system based on intelligent control of water extraction volume.

[0005] The present invention provides a hydrogeological exploration system based on intelligent control of water extraction volume, including a power supply module and a monitoring instrument assembly, a data acquisition and transmission subsystem, a ground detection base station, a control and analysis subsystem, and an early warning subsystem connected to the power supply module;

[0006] The data acquisition and transmission subsystem is used to collect rock and soil samples and groundwater samples in the exploration well, and send the rock and soil samples and groundwater samples to the ground detection base station;

[0007] The monitoring instrument assembly is used to monitor the groundwater level, pressure, and water temperature in the exploration well, and send them to the control and analysis subsystem;

[0008] The ground detection base station is used to detect the porosity of the rock and soil samples and the water quality of the groundwater samples;

[0009] The control and analysis subsystem calculates the water release volume based on the porosity and the head height, and calculates the safe water extraction volume during the water extraction time, and the head height is the water level difference monitored by the monitoring instrument assembly per unit time ;

[0010] The early warning and monitoring subsystem is connected to the control and analysis subsystem for early warning of water level and water extraction volume.

[0011] A further solution is that the control and analysis subsystem includes a soil column forming component and a calculation module, which are used to press the geotechnical sample into a soil column structure to measure the compression deformation of the geotechnical sample under a set pressure , based on the compression deformation calculate the specific yield coefficient μ per unit area of the exploration area:

[0012] ;

[0013] The calculation module calculates the groundwater extraction volume in the exploration area based on the specific yield coefficient μ per unit area:

[0014] ;

[0015] In the formula: F is the area of the aquifer in the exploration area; t is the equilibrium period; Q 补 is the total groundwater recharge; Q 开 is the groundwater extraction volume; Q 排 is the groundwater discharge volume, including lateral outflow and vertical evaporation.

[0016] A further solution is that the soil column forming component includes a support column and a pressure chamber;

[0017] A forming cylinder is arranged inside the support column, and a concave limiting groove is arranged at the bottom of the support column. A clamping platform adapted to the limiting groove is arranged at the bottom of the forming cylinder, and the clamping platform is clamped with the limiting groove;

[0018] A micro cylinder is arranged at the center of the top of the pressure chamber, and a push rod is also arranged inside the pressure chamber. The output end of the micro cylinder is connected to the push rod; a push plate is arranged at the end of the push rod away from the micro cylinder, and a pressure probe is arranged at the center position on the side of the push plate away from the push rod;

[0019] The diameter of the push plate is adapted to the inner diameter of the forming cylinder;

[0020] The push rod drives the push plate to move downward under the drive of the micro cylinder and extends into the forming cylinder to press the geotechnical sample inside the forming cylinder, so as to simulate the external pressure to estimate the compression deformation of the exploration area.

[0021] A further solution is that the pressure probe and the micro cylinder are respectively connected to the control and analysis subsystem. The control and analysis subsystem controls the micro cylinder based on the set pressure and monitors the pressure parameters of the pressure probe in real time. When the pressure parameters of the pressure probe are the same as the set pressure, the control and analysis subsystem controls the micro cylinder to stop working and determines the compression deformation amount according to the stroke of the micro cylinder. 。

[0022] A further solution is that the early warning subsystem includes a transceiver unit, a judgment module and an early warning module;

[0023] The transceiver unit, the judgment module and the early warning module are respectively connected to the control and analysis subsystem;

[0024] The transceiver unit is used to regularly receive the measurement information of the monitoring instrument assembly. When the measurement information is not received within the set time, the control and analysis subsystem cuts off the power signal and controls the early warning module to give an alarm; in addition, the judgment module compares the value of the measurement information received by the transceiver unit with the preset threshold value built in the control and analysis subsystem. When the preset threshold value is exceeded, the control and analysis subsystem controls the early warning module to give an alarm.

[0025] A further solution is that the transceiver unit is also used to receive the actual water extraction volume in the exploration area, set a water extraction volume threshold based on the theoretically calculated water extraction volume Q, and the judgment module compares the actual water extraction volume with the water extraction volume threshold. When the actual water extraction volume is greater than the water extraction volume threshold, an emergency stop early warning signal is generated; when the actual water extraction volume is less than the water extraction volume threshold, the actual water extraction volume and the water extraction volume threshold together generate a safety signal;

[0026] A further solution is that the transceiver unit is also used to send the emergency stop early warning signal and the safety signal to the control and analysis subsystem; when the control and analysis subsystem receives the emergency stop early warning signal, it controls the early warning module to give an alarm and sends it to the mobile phone of the security inspection personnel for display, and stores it together with the date in a safety form.

[0027] A further solution is that the exploration system further includes a pre-exploration subsystem for determining the groundwater aggregation location in the exploration area;

[0028] The pre-exploration subsystem includes a drone control module and a drone, and the drone is respectively connected to the drone control system and the control and analysis subsystem;

[0029] The drone is used to send the captured images to the control and analysis subsystem in real time. The control and analysis subsystem performs image processing on the images captured by the drone and judges the groundwater aggregation area.

[0030] A further solution is that the image processing includes grayscale processing and pixel point recognition;

[0031] Image segmentation software is used to segment the grayscale processed pixels and label their categories to generate a data set, a neural network model is established to identify the pixels, and the output is predicted to belong to the category; the pixels include surface pixels, vegetation pixels and rock pixels; the neural network model is trained by collecting a number of surface pixels, vegetation pixels and rock pixels.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention detects the porosity of rock and soil samples of groundwater strata by combining monitoring in exploration wells with sampling and ground detection, and simulates the compressive deformation of groundwater strata to calculate the reasonable allowable extraction volume. During the groundwater extraction process, the extraction volume is monitored in real time, the hydrological dynamics can be grasped in time, and real-time warnings of the extraction volume and groundwater level can be given, so as to achieve the effects of early detection, early prediction, early prevention and control of water disasters.

[0034] The present invention also uses the front-end survey subsystem to quickly and accurately determine the location of groundwater accumulation in the survey area, which is conducive to the determination of the location of the exploration well. The image information of the survey area is obtained by orthophotography of the drone, and then the control and analysis subsystem processes the image, and the neural network is used to identify vegetation pixels and rock layer pixels to quickly determine the location of groundwater accumulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The following drawings are only used to illustrate and explain the present invention, and are not used to limit the scope of the present invention, wherein:

[0036] Figure 1 : Schematic diagram of system connection of the present invention;

[0037] Figure 2 : Schematic diagram of the structure of the soil column forming assembly of the present invention;

[0038] Figure 3 : Schematic diagram of pixel recognition, where ○ represents vegetation pixels, △ represents surface pixels, and □ represents rock pixels;

[0039] Figure 4 :Schematic diagram of the UAV flight trajectory;

[0040] In the figure: 1. support column; 2. pressure chamber; 3. micro cylinder; 4. push rod; 5. push plate; 6. pressure probe; 7. forming cylinder. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution, design method and advantages of the present invention clearer, the present invention is further described in detail by specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] As Figure 1 shown, the present invention provides a hydrogeological exploration system based on intelligent control of water extraction volume, including a power supply module and a monitoring instrument assembly, a data acquisition and transmission subsystem, a ground detection base station, a control and analysis subsystem, and an early warning subsystem connected to the power supply module;

[0043] The data acquisition and transmission subsystem is used to collect rock and soil samples and groundwater samples in the exploration well and send the rock and soil samples and groundwater samples to the ground detection base station;

[0044] The monitoring instrument assembly is used to monitor the groundwater level, pressure and water temperature in the exploration well and send them to the control and analysis subsystem;

[0045] The ground detection base station is used to detect the porosity of rock and soil samples and the water quality of groundwater samples;

[0046] The control and analysis subsystem calculates the water release volume based on the porosity and the water head height, and calculates the safe water extraction volume during the water extraction time. The water head height is the water level difference monitored by the monitoring instrument assembly per unit time ;

[0047] The early warning monitoring subsystem is connected to the control and analysis subsystem and is used to give early warnings about the water level and water extraction volume.

[0048] In this embodiment, the monitoring instrument assembly includes a water level gauge, a pressure sensor and a temperature sensor. Specifically, the water level gauge is a float type water level gauge. The float is placed in the exploration well, and the sensor part of the water level gauge is installed at the wellhead. The float floats on the water surface and moves up and down with the rise and fall of the water level. The water level wheel converts this vertical movement into data that can be recorded; the pressure sensor is installed at the depth where the pressure needs to be monitored in the exploration well, and is installed by drilling or directly placed near the filter pipe. The pressure sensor is connected to the ground detection base station through a cable; the temperature sensor is a thermistor sensor, and the thermistor sensor is installed at different depths in the exploration well and fixed by an installation bracket to ensure that the sensor is in full contact with the groundwater. The thermistor sensor transmits the temperature data to the ground detection base station through a cable.

[0049] During the actual exploitation process, the specific yield of groundwater is affected by the porosity of the rock formation. When the groundwater rock formation is under pressure or its own gravity, it will undergo compressive deformation, resulting in a decrease in the groundwater head height, which in turn affects the water release coefficient of the groundwater rock formation, and directly affects the allowable exploitation volume of groundwater. Therefore, this embodiment also sets up a soil column forming assembly for pressing the rock and soil samples into a soil column structure to measure the compressive deformation amount of the rock and soil samples under a set pressure , based on the compressive deformation amount Calculate the specific yield coefficient μ per unit area of the exploration area:

[0050] ;

[0051] The calculation module calculates the groundwater extraction volume in the exploration area based on the specific yield coefficient μ per unit area:

[0052] ;

[0053] In the formula: F is the area of the aquifer in the exploration area; t is the equilibrium period; Q 补 is the total groundwater recharge; Q 开 is the groundwater extraction volume; Q 排 is the groundwater discharge volume, including lateral outflow and vertical evaporation volume.

[0054] As Figure 2 shown, the soil column forming assembly includes a support column 1 and a pressure chamber 2;

[0055] A forming cylinder 7 is arranged inside the support column 1, a concave limiting groove is arranged at the bottom of the support column 1, a clamping platform adapted to the limiting groove is arranged at the bottom of the forming cylinder 7, and the clamping platform is clamped with the limiting groove;

[0056] A micro cylinder 3 is arranged at the center of the top of the pressure chamber 2, a push rod 4 is also arranged inside the pressure chamber 2, and the output end of the micro cylinder 3 is connected to the push rod 4; one end of the push rod 4 away from the micro cylinder 3 is provided with a push plate 5, and a pressure probe 6 is arranged at the center position on the side of the push plate 5 away from the push rod 4;

[0057] The diameter of the push plate 5 is adapted to the inner diameter of the forming cylinder 7;

[0058] The push rod 4 drives the push plate 5 to move downward under the drive of the micro cylinder 3 and extends into the forming cylinder 7 to press the rock and soil sample inside the forming cylinder 7, so as to simulate the external pressure to estimate the compression deformation amount of the exploration area.

[0059] In the above, the pressure probe 6 and the micro cylinder 3 are respectively connected to the control and analysis subsystem. The control and analysis subsystem controls the micro cylinder 3 based on the set pressure and monitors the pressure parameter of the pressure probe 6 in real time. When the pressure parameter of the pressure probe 6 is the same as the set pressure, the control and analysis subsystem controls the micro cylinder 3 to stop working and determines the compression deformation amount according to the stroke of the micro cylinder 3 .

[0060] In the above, the early warning subsystem includes a transceiver unit, a judgment module and an early warning module. The transceiver unit, the judgment module and the early warning module are respectively connected to the control and analysis subsystem;

[0061] The transceiver unit periodically receives the measurement information of the monitoring instrument assembly. When the measurement information is not received within the set time, the judgment module outputs a signal indicating that a fault has occurred in the exploration system, then controls the analysis subsystem to cut off the power signal and controls the warning module to give an alarm; and, the judgment module compares the value of the measurement information received by the transceiver unit with the preset threshold value built in the control analysis subsystem, and when it exceeds the preset threshold value, the control analysis subsystem controls the warning module to give an alarm.

[0062] In the above, the transceiver unit is further configured to receive the actual water extraction volume of the exploration area, set a water extraction volume threshold based on the theoretically calculated water extraction volume Q, the judgment module compares the actual water extraction volume with the water extraction volume threshold, and when it satisfies that the actual water extraction volume is greater than the water extraction volume threshold, a sudden stop warning signal is generated; when it satisfies that the actual water extraction volume is less than the water extraction volume threshold, the actual water extraction volume and the water extraction volume threshold together generate a safety signal; the transceiver unit is further configured to send the sudden stop warning signal and the safety signal to the control analysis subsystem; when the control analysis subsystem receives the sudden stop warning signal, it controls the warning module to give an alarm and sends it to be displayed on the mobile phone of the security inspection personnel, and generates a safety table for storage together with the date.

[0063] In the above, the exploration system further includes a pre-exploration subsystem for determining the groundwater aggregation location in the exploration area; the pre-exploration subsystem includes a drone control module and a drone, and the drone is respectively connected to the drone control system and the control analysis subsystem; use Rainbow software to connect the drone, enter the flight interface, select orthophoto shooting, frame out the exploration range, create a flight task. In this embodiment, the flight height is 120m and the photographing mode is equidistant photographing, which can improve the photographing efficiency of the drone, and the drone shooting images are sent to the control analysis subsystem in real time; the control analysis subsystem performs image processing on the drone shooting images and judges the groundwater aggregation area.

[0064] In the above, the image processing includes grayscale processing and pixel point recognition; use Weka Segmentation to segment the pixel points after grayscale processing; the pixel points include surface pixel points, vegetation pixel points and rock layer pixel points; among them, Weka Segmentation is a tool for image segmentation based on the Weka (Waikato Environment for Knowledge Analysis) platform, which can extract various features from images. A neural network model is established for pixel point recognition to output the category to which different pixel points belong.

[0065] The construction process of the neural network model is as follows:

[0066] Select a large number of different pixel points, label the category to which each pixel point belongs, and generate a data set containing pixel points and the corresponding categories to which the pixel points belong;

[0067] Input the data set into the U-Net neural network model for iterative training. In each training iteration, the U-Net neural network model outputs the predicted category to which the input pixel point belongs, and then calculates the loss value through the loss function to optimize the U-Net neural network model;

[0068] Among them, the loss function is the cross-entropy loss function, which is used to measure the difference in probability distribution between the predicted category and the true category. For example, if the U-Net neural network model predicts that the probability of a certain pixel point belonging to a vegetation pixel point is 0.6, and in the true category, this pixel point belongs to a vegetation pixel point, then the cross-entropy loss will calculate the loss value according to the difference.

[0069] As Figure 3 shown, by identifying vegetation pixel points, it can be determined that the groundwater is relatively rich in areas where the vegetation is relatively dense, and by identifying the rock layer pixel points at the profile, the lithology, rock occurrence and geological structure of the rock layer can be determined. Specifically, by judging the lithology, the rock layer belongs to sedimentary rock, metamorphic rock or magmatic rock. For example, carbonaceous limestone, marl and red sandstone all belong to sedimentary rock, and it can be determined that these rock layers are waterless rock layers. Limestone and marble belong to metamorphic rock and are prone to form karst caves. Granite and basalt belong to magmatic rock and are prone to form fractures. The strike and dip of the rock occurrence are determined by the same pixel points of the rock layer, and then the geological structure is searched. That is, there must be a junction between two different rock layers. Using a natural electric field water finder, the high potential difference area and the low potential difference area can be used to quickly find groundwater, and thus the specific location of the exploration well can be determined.

[0070] Based on the above multi-source hydrogeological exploration system, when conducting hydrogeological exploration, first, the surface information of the area to be explored is explored through the pre-exploration subsystem. Specifically, the drone is connected through the drone control module, flight settings are made for the drone, and the drone uses orthophoto shooting to obtain the surface information of the area to be explored. During the flight, the flight area is framed, as Figure 4As shown, the drone flies back and forth at equal intervals. The drone sends the collected surface information to the control and analysis subsystem in real time for image recognition, or existing software can also be used for image processing, including grayscale processing and pixel point recognition. The pixel points after grayscale processing are segmented using image segmentation software, and the pixel points are recognized through a neural network model to determine the optimal exploration well location. Then, a monitoring instrument assembly is used to monitor the water level, pressure, and water temperature of the groundwater, and a data acquisition module is used to collect rock and soil samples and groundwater samples in the exploration well, and the rock and soil samples and groundwater samples are sent to the ground detection base station. The ground detection base station is used to detect the porosity of the rock and soil samples and the water quality of the groundwater samples. Among them, the data acquisition module can use existing sampling equipment. In order to more accurately update the allowable water extraction volume in the exploration area, the present invention uses a soil column forming assembly to measure the compression deformation amount of the groundwater rock layer, and further calculates the specific yield of the rock layer in this area, so as to accurately calculate the groundwater extraction volume. During the extraction process, the actual water extraction volume is monitored in real time and the allowable extraction volume is updated, and an alarm is issued when the difference between the actual water extraction volume and the allowable extraction volume exceeds the threshold value.

[0071] The embodiments of the present invention have been described above. The above description is exemplary and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations are obvious to those of ordinary skill in the art in the technical field without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other ordinary skill in the art in the technical field to understand the embodiments disclosed herein.

Claims

1. A hydrogeological survey system based on intelligent control of water extraction, characterized in that: It includes a power supply module and a monitoring instrument component connected to the power supply module, a data acquisition and transmission subsystem, a ground detection base station, a control and analysis subsystem, and an early warning subsystem; The data acquisition and transmission subsystem is used to collect rock and soil samples and groundwater samples in the exploration well, and send the rock and soil samples and groundwater samples to the ground detection base station; The monitoring instrument assembly is used to monitor the groundwater level, pressure and water temperature in the exploration well, and send the data to the control and analysis subsystem; The ground detection base station is used to detect the porosity of rock and soil samples and the water quality of groundwater samples; The control and analysis subsystem calculates the water release volume based on the porosity and the water head height, and calculates the safe water extraction volume within the extraction time based on the water release volume. The water head height is the water level difference monitored by the monitoring instrument component per unit time. ; The early warning monitoring subsystem is connected to the control and analysis subsystem to warn of water level and water extraction, monitor the actual water extraction in real time during the extraction process, and update the allowed extraction amount. When the difference between the actual water extraction amount and the allowed extraction amount exceeds the threshold, an alarm is issued; The control and analysis subsystem includes a soil column forming component and a calculation module, which is used to press-cast the rock and soil sample into a soil column structure to measure the compression deformation of the rock and soil sample under a set pressure. , based on the compression deformation Calculate the water release coefficient μ per unit area of ​​the survey area: ； The calculation module calculates the groundwater extraction volume in the survey area based on the water release coefficient μ per unit area: ； Where: F is the area of ​​aquifer in the survey area; t is the equilibrium period; Q 补 is the total groundwater recharge; Q 开 is the groundwater extraction volume; Q 排 is the groundwater discharge, including lateral outflow and vertical evaporation; The soil column forming assembly includes a support column and a pressure chamber; A forming cylinder is arranged inside the support column, an inwardly concave limiting groove is arranged at the bottom of the support column, a clamping platform adapted to the limiting groove is arranged at the bottom of the forming cylinder, and the clamping platform is clamped with the limiting groove; A micro cylinder is arranged at the center of the top of the pressure chamber, and a push rod is also arranged inside the pressure chamber, and the output end of the micro cylinder is connected to the push rod; a push plate is arranged at one end of the push rod away from the micro cylinder, and a pressure probe is arranged at the center of one side of the push plate away from the push rod; The diameter of the push plate is adapted to the inner diameter of the forming cylinder; The push rod, driven by the micro cylinder, drives the push plate to move downward and extend into the interior of the forming cylinder, applying pressure to the rock and soil sample inside the forming cylinder to simulate the external pressure and estimate the compression deformation of the survey area.

2. The hydrogeological survey system based on intelligent control of water extraction according to claim 1 is characterized in that: The pressure probe and the micro cylinder are connected to the control and analysis subsystem respectively. The control and analysis subsystem controls the micro cylinder based on the set pressure and monitors the pressure parameters of the pressure probe in real time. When the pressure parameters of the pressure probe are the same as the set pressure, the control and analysis subsystem controls the micro cylinder to stop working and determines the compression deformation according to the stroke of the micro cylinder. .

3. The hydrogeological survey system based on intelligent control of water extraction according to claim 2 is characterized in that: The early warning subsystem includes a transceiver unit, a judgment module and an early warning module; The transceiver unit, the judgment module and the early warning module are respectively connected to the control and analysis subsystem; The transceiver unit is used to periodically receive measurement information from the monitoring instrument components. When the measurement information is not received within the set time, the control and analysis subsystem cuts off the power signal and controls the early warning module to alarm; and the judgment module compares the value of the measurement information received by the transceiver unit with the preset threshold built into the control and analysis subsystem. When the preset threshold is exceeded, the control and analysis subsystem controls the early warning module to alarm.

4. The hydrogeological survey system based on intelligent control of water extraction according to claim 3 is characterized in that: The transceiver unit is also used to receive the actual water volume in the survey area, set a water volume threshold based on the theoretically calculated water volume Q, and the judgment module compares the actual water volume with the water volume threshold. When the actual water volume is greater than the water volume threshold, an emergency stop warning signal is generated; when the actual water volume is less than the water volume threshold, the actual water volume and the water volume threshold together generate a safety signal.

5. The hydrogeological survey system based on intelligent control of water extraction according to claim 4 is characterized in that: The transceiver unit is also used to send the emergency stop warning signal and safety signal to the control and analysis subsystem; when the control and analysis subsystem receives the emergency stop warning signal, the control warning module alarms and sends it to the security personnel's mobile phone for display, and generates a safety table for storage together with the date.

6. The hydrogeological survey system based on intelligent control of water extraction according to claim 1 is characterized in that: The survey system also includes a pre-survey subsystem for determining the location of groundwater accumulation in the survey area; The front survey subsystem includes a UAV control module and a UAV, and the UAV is connected to the UAV control system and the control and analysis subsystem respectively; The drone is used to send the captured images to the control and analysis subsystem in real time. The control and analysis subsystem processes the images captured by the drone and determines the accumulation area of ​​groundwater.

7. The hydrogeological survey system based on intelligent control of water extraction according to claim 6 is characterized in that: The image processing includes grayscale processing and pixel recognition; Image segmentation software is used to segment the grayscale processed pixels and label their categories to generate a data set, a neural network model is established to identify the pixels, and the output is predicted to belong to the category; the pixels include surface pixels, vegetation pixels and rock pixels; the neural network model is trained by collecting a number of surface pixels, vegetation pixels and rock pixels.

Images