Application system of EH4 audio magnetotelluric method in hydrogeological survey

Abstract

The invention discloses an application system of an EH4 audio magnetotelluric method in hydrogeological survey, and belongs to the field of geological survey. Comprising a multi-band signal fusion module, an intelligent data processing and interpretation module, a dynamic detection and real-time feedback module, a deep hydrological detection and extreme environment adaptation module, and a multi-dimensional space detection module fusing GIS and unmanned aerial vehicle technologies. The multi-band signal fusion module integrates low-frequency and high-frequency signal sources and has a dynamic frequency switching function; according to the invention, through multi-frequency-band signal fusion, the detection depth of a deep hydrogeological layer is significantly improved, deeper-level underground hydrological information can be obtained, and powerful support is provided for deep water resource exploration and development; according to the intelligent data processing and interpretation technology, data errors are effectively reduced, the accuracy of judging the hydrogeological conditions such as the underground water level and the aquifer distribution is improved, and a more reliable data basis is provided for water resource management and utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration, and particularly to an application system of the EH4 audio magnetotelluric method in hydrogeological exploration. Background Art

[0002] With the development of social economy, the importance of water resource management and groundwater exploration has become increasingly prominent. Traditional hydrogeological exploration methods, such as geological drilling, electrical sounding method, etc., expose many limitations when facing complex geological environments and deep hydrogeological conditions.

[0003] As a new type of geophysical exploration technology, the EH4 audio magnetotelluric method has been widely used in shallow hydrogeological exploration. It uses natural electromagnetic field sources and infers the underground geological structure and electrical properties by measuring the electromagnetic field responses at different frequencies. However, in deep exploration and high-complexity geological conditions, the EH4 method still faces many challenges.

[0004] The detection frequency of the traditional EH4 method is fixed and cannot be flexibly adjusted according to the electrical properties and depth requirements of different geological layers, resulting in insufficient detection accuracy for deep geological structures; its data processing and interpretation process is complex, relying on artificial experience, prone to errors, and the data interpretation speed is slow, making it difficult to meet the needs of large-scale exploration; in the face of complex and changeable underground environments, the traditional fixed-position measurement points and pre-determined frequency signal acquisition methods have poor adaptability and cannot effectively cope with problems such as signal attenuation and interference; in addition, in deep hydrogeological exploration, affected by electromagnetic wave attenuation, it is difficult for the traditional EH4 method to detect deeper hydrogeological information, and its stability and reliability in extreme environments need to be improved.

[0005] Therefore, there is a need for an innovative application system that improves the applicability of the EH4 method in complex environments, enhances its depth detection ability, accuracy and reliability, and provides more efficient and accurate technical support for fields such as water resource exploration, groundwater management, and environmental monitoring. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides an innovative application system of the EH4 audio magnetotelluric method in hydrogeological exploration to improve the applicability of the EH4 method in complex environments, enhance its depth detection ability, accuracy and reliability, and provide more efficient and accurate technical support for fields such as water resource exploration, groundwater management, and environmental monitoring.

[0007] Technical solution: To solve the above technical problems, according to one aspect of the present invention, more specifically, it is an innovative application system of the EH4 audio magnetotelluric method in hydrogeological exploration, including a multi-band signal fusion module, an intelligent data processing and interpretation module, a dynamic detection and real-time feedback module, a deep hydrogeological detection and extreme environment adaptation module, and a multi-dimensional space detection module integrating GIS and UAV technologies;

[0008] The multi-band signal fusion module integrates low-frequency and high-frequency signal sources, has the function of dynamically switching frequencies, and can adjust the frequency range according to the hydrogeological characteristics of groundwater at different depths; through the frequency switching circuit, it can dynamically switch frequencies according to the actual exploration requirements, realize comprehensive detection of different depth levels, and significantly improve the accuracy and depth of exploration;

[0009] The intelligent data processing and interpretation module includes a data preprocessing and denoising unit, a deep learning model interpretation unit, and a data fusion unit, which are used to perform denoising, interpretation, and fusion processing on the data;

[0010] The dynamic detection and real-time feedback module consists of a dynamic measurement array. The detection units of the array are integrated with an adaptive control system, which can dynamically adjust the position and orientation; the adaptive control system has the function of real-time data monitoring and adjustment, and can monitor the signal quality in real time during the data acquisition process and automatically adjust the detection parameters according to the feedback information;

[0011] The deep hydrogeological detection and extreme environment adaptation module uses a high-power electromagnetic source and low-frequency technology to enhance the signal penetration ability, realize the detection of deep hydrogeological layers, and at the same time has a modular and environmental-resistant design, and can work continuously and stably in extreme climates, humidity, temperature, and complex geological environments;

[0012] The multi-dimensional space detection module includes a UAV remote sensing cooperation exploration part, which combines the EH4 method and UAV remote sensing technology to obtain topographic and geomorphic information and fuse it with electromagnetic detection data, and a GIS data platform and geological model integration part, which combines the detection data of the EH4 method with geographical data to form a dynamically updated groundwater hydrogeological database.

[0013] Furthermore, the multi-band signal fusion module also includes an intelligent frequency adaptive algorithm. First, through geological prior information (such as regional geological reports, previous exploration data, etc.) and the target detection depth set by the user, a suitable frequency range is initially screened. During the data acquisition process, the characteristics of the collected signals, such as signal strength, spectral distribution, etc., are analyzed in real time, and the frequency is automatically adjusted using the adaptive algorithm. For example, when a strong interference signal is detected in the shallow layer, the intensity of the low-frequency signal is automatically reduced, and at the same time, the acquisition of the high-frequency signal is enhanced to minimize the interference of the low-frequency signal in the shallow layer and improve the signal-to-noise ratio of the data.

[0014] Furthermore, in the intelligent data processing and interpretation module, the data preprocessing and denoising unit: adopts a method that combines advanced adaptive filtering technology and wavelet transform. The adaptive filtering technology dynamically adjusts the filter parameters according to the real-time changes of environmental electromagnetic interference, effectively filtering out external electromagnetic interference signals. The wavelet transform performs multi-scale decomposition on the collected data, which can accurately separate signals with different frequency components, removing noise signals while retaining the characteristics of useful geological signals; in complex hydrogeological environments (such as near industrial areas and high-voltage transmission lines), this technology can ensure the clarity and reliability of the data, providing a high-quality data basis for subsequent data interpretation.

[0015] The deep learning model unit: introduces a deep learning model that combines convolutional neural network (CNN) and recurrent neural network (RNN). CNN is used to extract spatial features in signal data and identify the electromagnetic characteristic patterns of different geological layers. RNN processes the time series features of signal data, taking into account the changes in geological structure in the time dimension. Through training with a large amount of electromagnetic signal data under known hydrogeological conditions, the model can automatically determine hydrogeological conditions, such as accurately identifying the position of the groundwater level and precisely determining the distribution range of aquifers, greatly reducing the manual interpretation error and improving the interpretation accuracy.

[0016] The data fusion unit: The system has a data fusion interface, which can fuse the data collected by the EH4 method with data obtained by other exploration means such as drilling data and seismic data. Using data fusion algorithms, the data from different sources are matched and integrated in terms of space and attributes to establish a more accurate three-dimensional groundwater hydrogeological model. For example, by combining the underground lithology information obtained from drilling and the electromagnetic characteristics detected by the EH4 method, the boundaries and thicknesses of different lithology layers are accurately determined, improving the application depth and spatial resolution of the EH4 method, and enabling the constructed three-dimensional model to accurately reflect the details of the underground geological structure, providing a more reliable basis for subsequent water resource assessment and development.

[0017] Furthermore, in the intelligent data processing and interpretation module, after training, the error range for identifying the groundwater level position by the deep learning model interpretation unit is reduced, and the deviation between the determined distribution range of the aquifer and the actual situation is reduced.

[0018] Furthermore, in the dynamic detection and real-time feedback module, the dynamic measurement array can shorten the exploration time through intelligent path planning algorithms compared with the traditional fixed measurement method, and the real-time data monitoring and adjustment function ensures a high integrity rate of the collected data.

[0019] Furthermore, in the deep hydrogeological exploration and extreme environment adaptation module, for the high-power electromagnetic source and low-frequency technology: a high-power electromagnetic signal source is adopted, combined with electromagnetic waves in the low-frequency band; the high-power electromagnetic source can enhance the emission intensity of the signal, and the electromagnetic waves in the low-frequency band have a slower attenuation in the underground medium. The combination of the two enables it to effectively penetrate complex underground media and detect deeper hydrogeological strata.

[0020] Furthermore, in the multi-dimensional space exploration module, for the part of the UAV remote sensing combined with exploration: the EH4 method is combined with the UAV remote sensing technology;

[0021] The UAV is equipped with a high-resolution remote sensing camera and positioning equipment to efficiently cover the exploration area and obtain topographic and geomorphic information in real time; the UAV transmits the obtained information to the ground control center and fuses it with the electromagnetic data detected by the EH4 method; through the data fusion algorithm, the topographic and geomorphic information is combined with the underground electromagnetic characteristics to realize the construction of a precise hydrogeological map, which can intuitively display the relationship between the underground geological structure and the surface topography, and provide more comprehensive geological information for the exploration personnel;

[0022] For the GIS data platform and geological model integration part: using the GIS platform, the detection data of the EH4 method is combined with geographical data; through data integration and analysis, a multi-level and dynamically updated groundwater hydrogeological database is formed.

[0023] The beneficial effects of an application system of the EH4 audio magnetotelluric method in hydrogeological exploration of the present invention are as follows:

[0024] (1) Through multi-band signal fusion, the present invention significantly improves the detection depth of deep hydrogeological strata, can obtain deeper groundwater hydrogeological information, and provides strong support for the exploration and development of deep water resources;

[0025] The intelligent data processing and interpretation technology effectively reduces data errors and improves the accuracy of judging hydrogeological conditions such as the groundwater level and aquifer distribution, providing a more reliable data basis for water resource management and utilization.

[0026] (2) Through the dynamic detection and real-time feedback technology and the extreme environment adaptability design, the system of the present invention can work stably in complex and changeable geological environments and extreme climate conditions, reliably obtain data, and ensure the smooth progress of the exploration work;

[0027] Through technologies such as the dynamic measurement array and the UAV remote sensing combined with exploration, the measurement path is optimized, rapid data collection and processing are realized, and the exploration cycle is greatly shortened compared with traditional methods, improving the work efficiency;

[0028] Through the multi-dimensional space detection by integrating GIS and UAV technology, the underground geological information is combined with the surface geographical information to form a comprehensive groundwater hydrogeological database, providing richer and more intuitive information for water resource management and development, and helping to make scientific and reasonable decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described in detail below with reference to the drawings and specific implementation methods.

[0030] Figure 1 It is a schematic structural diagram of the present invention. SPECIFIC IMPLEMENTATION MANNER

[0031] The present invention will be described in detail below with reference to the drawings and embodiments. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0032] To make the technical solution of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0033] Refer to Figure 1 , an embodiment of the application system of the EH4 audio magnetotelluric method of the present invention in hydrogeological exploration is as follows:

[0034] Embodiment 1

[0035] The construction of the application system of the EH4 audio magnetotelluric method of the present invention in hydrogeological exploration:

[0036] Multi-band signal fusion part: Select appropriate low-frequency and high-frequency signal sources, connect the circuits according to the design requirements, and ensure that the frequency switching circuit can accurately and quickly switch frequencies. Integrate the multi-frequency signal source into the detection host and debug it to ensure the stability and accuracy of signal output.

[0037] Intelligent data processing and interpretation part: Build a deep learning model training environment, collect a large amount of electromagnetic signal data and corresponding geological information under different hydrogeological conditions, and train a deep learning model combining convolutional neural network (CNN) and recurrent neural network (RNN). After training, integrate the model into the data processing software. At the same time, integrate the adaptive filtering and wavelet transform algorithms into the data preprocessing module to ensure the normal operation of data preprocessing and denoising functions.

[0038] Dynamic detection and real-time feedback part: Assemble multiple detection units according to a certain layout to construct a dynamic measurement array. Install an adaptive control system and intelligent path planning software for each detection unit. Set up a real-time data monitoring module in the system software to ensure that the signal quality can be monitored in real time and the detection parameters can be automatically adjusted.

[0039] Deep Hydrogeological Exploration and Extreme Environment Adaptation Part: Select a high-power electromagnetic source and configure a suitable low-frequency electromagnetic wave transmitting device. Design the detection system modularly, select anti-corrosion materials for the housing, install seismic-resistant structures and intelligent temperature control systems to ensure the normal operation of the equipment in extreme environments.

[0040] Integration of GIS and UAV Technology Part: Select a suitable UAV platform and carry a high-resolution remote sensing camera and positioning equipment. Establish a GIS data platform, integrate the detection data by the EH4 method with geographical data to achieve dynamic update and visual display of the data.

[0041] Example Two

[0042] The exploration process of the application system of the EH4 audio magnetotelluric method in hydrogeological exploration of the present invention:

[0043] Preliminary Preparation: Collect prior geological information of the exploration area and determine the target detection depth and range.

[0044] According to the exploration requirements, set the initial frequency range of the multi-band signal source, start the UAV to conduct preliminary topographic and geomorphic shooting of the exploration area, and obtain basic geographical information.

[0045] Data Acquisition: Deploy the dynamic measurement array to the exploration area and start the detection system. The multi-band signal source automatically adjusts the frequency according to the intelligent frequency adaptive algorithm for data acquisition. During the acquisition process, the real-time data monitoring module monitors the signal quality and dynamically adjusts the detection parameters. At the same time, the UAV continues to fly over the exploration area to obtain real-time information on topographic and geomorphic changes.

[0046] Data Processing and Interpretation: The collected data is first processed by data preprocessing and denoising techniques to remove noise interference. Then, use the deep learning model interpretation module to analyze the data and determine the hydrogeological conditions. At the same time, fuse the collected data with drilling data, seismic data, etc., and establish a three-dimensional groundwater hydrogeological model.

[0047] Result Display and Application: Visualize the constructed three-dimensional groundwater hydrogeological model and related hydrogeological information through the GIS data platform. Provide a scientific basis for water resource exploration, groundwater management, etc., and help relevant departments formulate reasonable decision-making plans.

[0048] The above-described embodiments merely represent several implementation manners of the present invention. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

Claims

1. An innovative application system of EH4 audio magnetotelluric method in hydrogeological survey, including multi-band signal fusion module, intelligent data processing and interpretation module, dynamic detection and real-time feedback module, deep hydrological detection and extreme environment adaptation module, multi-dimensional space detection module integrating GIS and UAV technology, characterized by: The multi-band signal fusion module integrates low-frequency and high-frequency signal sources, has a dynamic frequency switching function, and can adjust the frequency range according to the underground hydrogeological characteristics at different depths; The intelligent data processing and interpretation module includes a data preprocessing and denoising unit, a deep learning model interpretation unit, and a data fusion unit, which are used to denoise, interpret, and fuse the data; The dynamic detection and real-time feedback module is composed of a dynamic measurement array. The detection unit of the array is integrated with an adaptive control system, which can dynamically adjust the position and orientation; the adaptive control system has real-time data monitoring and adjustment functions, which can monitor the signal quality in real time during the data collection process and automatically adjust the detection parameters according to the feedback information; The deep hydrological detection and extreme environment adaptation module adopts high-power electromagnetic source and low-frequency technology to enhance signal penetration and realize deep hydrogeological layer detection. It also has modular and environmentally resistant design and can work continuously and stably in extreme climate, humidity, temperature and complex geological environments. The multi-dimensional space detection module includes a UAV remote sensing coordinated survey part, which combines the EH4 method with UAV remote sensing technology to obtain topographic information and integrate it with electromagnetic detection data, as well as a GIS data platform and geological model integration part, which combines the EH4 method detection data with geographic data to form a dynamically updated underground hydrogeological database.

2. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: The multi-band signal fusion module also includes an intelligent frequency adaptive algorithm, which automatically selects the most suitable frequency for data collection in combination with geological conditions and target detection depth;.

3. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: In the intelligent data processing and interpretation module, the data preprocessing and denoising unit uses adaptive filtering technology and wavelet transform to denoise the collected data; The deep learning model interpretation unit introduces a deep learning model combining a convolutional neural network and a recurrent neural network to interpret the signal data; The data fusion unit can fuse the data collected by the EH4 method with the data obtained by other exploration means such as drilling data and seismic data.

4. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: In the intelligent data processing and interpretation module, after the deep learning model interpretation unit is trained, the error range of identifying the groundwater level position is reduced, and the deviation between the aquifer distribution range and the actual situation is reduced.

5. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: In the dynamic detection and real-time feedback module, the dynamic measurement array can shorten the survey time by using an intelligent path planning algorithm compared with the traditional fixed measurement method, and the real-time data monitoring and adjustment function ensures that the integrity rate of the collected data is high.

6. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: The high-power electromagnetic source and low-frequency technology in the deep hydrological detection and extreme environment adaptation module adopts a high-power electromagnetic signal source combined with a low-frequency electromagnetic wave; the high-power electromagnetic source can enhance the signal emission intensity, and the low-frequency electromagnetic wave attenuates more slowly in the underground medium. The combination of the two enables it to effectively penetrate complex underground media and detect deeper underground hydrogeological layers.

7. The innovative application system of EH4 audio frequency magnetotelluric method in hydrogeological survey according to claim 1 is characterized by: The UAV remote sensing coordinated survey part in the multi-dimensional space detection module: combining the EH4 method with the UAV remote sensing technology; The drone is equipped with high-resolution remote sensing cameras and positioning equipment to efficiently cover the survey area and obtain topographic information in real time; The drone transmits the acquired information to the ground control center and integrates it with the electromagnetic data detected by the EH4 method. Through the data fusion algorithm, the topographic information is combined with the underground electromagnetic characteristics to achieve the construction of accurate hydrogeological maps, which can intuitively show the relationship between the underground geological structure and the surface topography, and provide more comprehensive geological information for surveyors. The GIS data platform and geological model integration part: using the GIS platform, the detection data of the EH4 method is combined with the geographic data; through data integration and analysis, a multi-level, dynamically updated underground hydrogeological database is formed.

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