An electromagnetic exploration method and device

Abstract

The present invention provides an electromagnetic exploration method and device, which relates to the technical field of electromagnetic exploration. Transmit a first initial signal to the earth according to the magnetotelluric method; a plurality of signal acquisition stations demodulate the signal according to the first initial signal transmitted by the earth to obtain a geological noise signal; extract the waveform of the geological noise signal as a comparison signal; transmit a second initial signal to the earth according to the electromagnetic induction method; a plurality of signal acquisition stations perform waveform decoding on the second initial signal transmitted by the earth and perform multiple superpositions to obtain a detection signal; subtract the detection signal from the comparison signal to obtain an effective signal; generate a three-dimensional electrical property characteristic imaging map according to the effective signal; use a deep learning model for training and learning to obtain characteristic points containing human interference; mark the characteristic points in the characteristic imaging map and output the final result. It can improve the accuracy of electromagnetic detection and at the same time reduce a large amount of burden on subsequent analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic exploration, and in particular, to an electromagnetic exploration method and device. Background Art

[0002] The prospecting principle of electromagnetic exploration is based on the change in electrical properties between different rocks and ores, which causes corresponding changes in the spatial distribution state of the electromagnetic field (artificial and natural). Thus, different performance instruments can be used to observe and study the spatial and temporal distribution state of the field to prospect for mineral resources or identify the existence state of geological targets in the earth's crust, so as to achieve the geological objectives of electrical exploration.

[0003] However, due to the harsh field conditions and the fact that the measurement location is in the field, it will face various interferences, including geological noise of non-target bodies, natural electromagnetic noise, and human interference. The geological noise of non-target bodies mainly refers to uneven terrain, inhomogeneous near-surface electrical properties, etc.; natural electromagnetic noise mainly refers to the natural electromagnetic field of non-measurement objects; human interference includes various human electromagnetic interferences (such as stray currents caused by industrial and civil electricity) and interferences from various artificially buried objects. Therefore, an electromagnetic exploration method is needed. Summary of the Invention

[0004] The purpose of the present invention is to provide an electromagnetic exploration method, which can improve the accuracy of electromagnetic detection and reduce the heavy burden of subsequent analysis at the same time.

[0005] The embodiments of the present invention are implemented as follows:

[0006] In a first aspect, an embodiment of the present application provides an electromagnetic exploration method, which includes laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in an area to be explored; controlling the plurality of electromagnetic transmitters to emit a first initial signal to the earth according to the magnetotelluric method; the plurality of signal acquisition stations demodulate the signal according to the first initial signal emitted by the earth to obtain a geological noise signal; extract and save the waveform of the geological noise signal, and define it as a comparison signal; control the plurality of electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method; the plurality of signal acquisition stations decode the waveform according to the second initial signal emitted by the earth and perform multiple superpositions on the received second initial signal to obtain a detection signal; subtract the detection signal from the comparison signal to obtain an effective signal; generate a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signal; use a preset deep learning model to train and learn multiple manually determined characteristic imaging maps, put the new characteristic imaging map into judgment, and obtain characteristic points with human interference; mark the characteristic points in the characteristic imaging map and output the final result.

[0007] In some embodiments of the present invention, the steps of laying a plurality of electromagnetic acquisition stations and a plurality of electromagnetic transmitters in the area to be explored include: the plurality of electromagnetic acquisition stations and the plurality of electromagnetic transmitters are respectively laid in an array at the same preset distance in the area to be explored.

[0008] In some embodiments of the present invention, the steps before laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored include: measuring the size and area of the area to be explored, and presetting a plurality of acquisition points for placing the signal acquisition stations and a plurality of emission points for placing the electromagnetic transmitters on the area according to the size and area.

[0009] In some embodiments of the present invention, the steps of generating an electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signals further include: differentiating the characteristic imaging map with different colors according to different geologies, and simultaneously generating a comparison table of colors and geological types.

[0010] In some embodiments of the present invention, the steps of training and learning a plurality of manually determined characteristic imaging maps by using a preset deep learning model include: presetting various manifestation patterns of human interference in the characteristic imaging map, and performing deep learning according to the various manifestation patterns by using a convolutional neural network model.

[0011] In some embodiments of the present invention, the steps of putting a new characteristic imaging map for judgment include: dividing the three-dimensional electrical property characteristic imaging map at a preset interval, and putting the sectional view of each small block after division into the deep learning model for judgment.

[0012] In some embodiments of the present invention, the steps of controlling a plurality of electromagnetic transmitters to emit a second initial signal to the ground according to the electromagnetic induction method include: controlling two electromagnetic transmitters to emit a second initial signal to the ground according to the electromagnetic induction method, and the two electromagnetic transmitters are located at the middle position of the area.

[0013] Second aspect, an embodiment of the present application provides an electromagnetic exploration system, which includes a preset module for laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in an area to be explored; a first signal transmission processing module for controlling the plurality of electromagnetic transmitters to transmit a first initial signal to the earth according to the magnetotelluric method; the plurality of signal acquisition stations demodulate the signal according to the first initial signal transmitted by the earth to obtain a geological noise signal; extract and save the waveform of the geological noise signal, and define it as a comparison signal; a second signal transmission processing module for controlling the plurality of electromagnetic transmitters to transmit a second initial signal to the earth according to the electromagnetic induction method; the plurality of signal acquisition stations perform waveform decoding on the second initial signal transmitted by the earth and perform multiple superpositions on the received second initial signal to obtain a detection signal; an effective signal processing module for subtracting the detection signal from the comparison signal to obtain an effective signal; generating a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signal; a result module for using a preset deep learning model to perform training and learning on multiple manually determined characteristic imaging maps, putting a new characteristic imaging map into judgment to obtain a characteristic point with human interference; marking the characteristic point in the characteristic imaging map and outputting the final result.

[0014] Third aspect, an embodiment of the present application provides an electromagnetic exploration processing device, including at least one processor, at least one memory, and a data bus; wherein: the processor and the memory complete mutual communication through the data bus; the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute an electromagnetic exploration method.

[0015] Fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, an electromagnetic exploration method is implemented.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0017] This design first uses the magnetotelluric method for testing to directly determine the noise of the earth itself. It uses the principle that although the signal intensities are different, the waveforms are the same. Subtract the signal tested by the electromagnetic induction method from the noise of the earth itself to obtain an effective signal. For human interference, such as ancient tombs or other buried objects underground, deep learning is used to confirm on the image, thereby improving the accuracy of electromagnetic detection and reducing the heavy burden of subsequent analysis. Description of the Drawings

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a flowchart of an electromagnetic exploration method in the present invention;

[0020] Figure 2 It is a schematic diagram of the emission points and acquisition points on the three-dimensional electrical property characteristic imaging map in the present invention;

[0021] Figure 3 It is a schematic diagram of dividing the emission points into small blocks on the three-dimensional electrical property characteristic imaging map in the present invention;

[0022] Figure 4 It is a schematic diagram of the structure of an electromagnetic exploration system in the present invention;

[0023] Figure 5 It is a schematic diagram of the structure of an electromagnetic exploration processing device in the present invention.

[0024] Icons: 1, preset module; 2, first signal emission processing module; 3, second signal emission processing module; 4, effective signal processing module; 5, result module; 6, processor; 7, memory; 8, data bus; 9, emission point; 10, acquisition point; 11, low resistivity; 12, high resistivity; 13, small block. Detailed implementation manners

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Usually, the components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0026] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application claimed, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0027] It should be noted that like reference numerals and letters denote like items in the following figures, and thus, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. At the same time, in the description of the present application, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0028] It should be noted that in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0029] In the description of the present application, it should be noted that the orientation or positional relationship indicated by terms such as "upper", "lower", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of this application is customarily placed during use. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present application.

[0030] In the description of the present application, it should also be noted that unless otherwise clearly specified and limited, the terms "arranged", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0031] The following will describe in detail some embodiments of the present application with reference to the drawings. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0032] Embodiment 1

[0033] Please refer to Figure 1, an electromagnetic exploration method provided by an embodiment of the present application. It should be noted that noise or interference refers to interference that occurs when measuring relative to artificially generated electromagnetic fields. For example, the natural electromagnetic field is an interference for electromagnetic sounding with artificial sources, but it is the field source for magnetotelluric sounding. Based on this principle, this design first uses the magnetotelluric method for testing to directly determine the noise of the earth itself. It utilizes the principle that although the signal intensities are different, the waveforms are the same. By subtracting the signal measured by the electromagnetic induction method from the noise of the earth itself, an effective signal is obtained. For artificial interference, such as underground ancient tombs or other buried objects, deep learning is used to confirm them on images, thereby improving the accuracy of electromagnetic detection and reducing the heavy burden of subsequent analysis.

[0034] S01: Lay a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored;

[0035] Since geological exploration requires large-area exploration, it is necessary to lay a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to perform a complete measurement.

[0036] S02: Control a plurality of electromagnetic transmitters to emit a first initial signal to the earth according to the magnetotelluric method;

[0037] The purpose of emitting the first initial signal using the magnetotelluric method is to confirm the waveform of the earth noise.

[0038] S03: A plurality of signal acquisition stations perform signal demodulation according to the first initial signal emitted by the earth to obtain a geological noise signal;

[0039] Since the initially received signal is stored in the instrument in the form of an electrical signal, demodulation is performed to display the waveform.

[0040] S04: Extract and save the waveform of the geological noise signal, and define it as a comparison signal;

[0041] For the geological noise signal, only the waveform is the data required, so it is extracted separately for subsequent comparison.

[0042] S05: Control a plurality of electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method;

[0043] When the electromagnetic induction method emits the second initial signal, all signals are received.

[0044] S06: A plurality of signal acquisition stations perform waveform decoding according to the second initial signal emitted by the earth, and perform multiple superpositions on the received second initial signal to obtain a detection signal;

[0045] Since a single transmission of a signal may result in errors or the signal may be too weak to be received by the waveband, multiple superpositions are carried out to obtain an accurate detection signal.

[0046] S07: Subtract the detection signal from the comparison signal to obtain an effective signal;

[0047] This step is to remove the noise in nature.

[0048] S08: Generate a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions based on the effective signal;

[0049] The three-dimensional electrical property characteristic imaging map is an image generated based on the conductivity. The specific generation technology of this image belongs to the prior art and will not be elaborated here.

[0050] S09: Use a preset deep learning model to train and learn multiple feature imaging maps after manual determination, put the new feature imaging map into the model for judgment, and obtain the feature points containing human interference;

[0051] Regarding human interference, for example, a buried radio transmitter underground, it is presented as a regular image in a local area, and the so-called area contains voids and conductivity discontinuities. Therefore, deep learning is carried out for such features to judge the feature imaging map, thereby reducing the burden on the staff.

[0052] S10: Mark the feature points in the feature imaging map and output the final result.

[0053] Marking the feature points can effectively reduce the burden on the staff, enabling the staff to immediately find the human interference points and eliminate them as needed.

[0054] In some embodiments of the present invention, the step of laying multiple electromagnetic acquisition stations and multiple electromagnetic transmitters in the area to be explored includes: the multiple electromagnetic acquisition stations and multiple electromagnetic transmitters are respectively laid in an array at the same preset distance interval in the area to be explored.

[0055] Laying in an array at the same preset distance interval aims to subdivide the monitoring, so as to ensure that no small area is missed. At the same time, the detection accuracy is positively correlated with the density of the acquisition station layout.

[0056] In some embodiments of the present invention, the steps before laying multiple signal acquisition stations and multiple electromagnetic transmitters in the area to be explored include: measuring the size and area of the area to be explored, and presetting multiple acquisition points 10 for placing signal acquisition stations and multiple emission points 9 for placing electromagnetic transmitters on the area according to the size and area.

[0057] Please refer to Figure 2 In some embodiments of the present invention, the step of generating an electrical property characteristic imaging map reflecting the underground geological conditions based on the effective signal further includes: on the characteristic imaging map, different geological conditions are distinguished by different colors, and at the same time, a comparison table of colors and geological types is generated.

[0058] This can facilitate the management personnel to quickly distinguish the specific substances of the geology, improving the efficiency. For example Figure 3 As shown in, for example, the electrical property of the rock in the figure is high resistivity 12, which can be displayed in red, generally corresponding to rock mass, dolomite, limestone, etc.; while the electrical property of the rock is low resistivity 11, which can be shown in blue, corresponding to sandstone, shale, mudstone, etc.

[0059] In some embodiments of the present invention, the step of training and learning multiple manually determined characteristic imaging maps using a preset deep learning model includes: presetting various manifestation patterns of artificial interference in the characteristic imaging map, and performing deep learning according to the various manifestation patterns using a convolutional neural network model.

[0060] For the various manifestation patterns, such as a radio transmitter buried underground, which are all presented as regular images in a local area, and the so-called area contains voids and conductivity discontinuities, which can all be used as the training targets of the convolutional neural network.

[0061] Please refer to Figure 3 In some embodiments of the present invention, the step of putting a new characteristic imaging map into judgment includes: dividing the three-dimensional electrical property characteristic imaging map at a preset interval, and putting the cross-sectional view of each small block 13 after division into the deep learning model for judgment.

[0062] For the three-dimensional electrical property characteristic imaging map, if it is necessary to put the internal image into the deep learning model, it is relatively complex. Therefore, in this design, the three-dimensional image is cut, and the cross-section is used as the image for judgment, saving computing power and improving the calculation speed.

[0063] Please refer to Figure 3 In some embodiments of the present invention, the step of controlling multiple electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method includes: controlling two electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method, and the two electromagnetic transmitters are located at the middle position of the area.

[0064] Embodiment 2

[0065] Please refer to Figure 4, an electromagnetic exploration system provided by the present invention. A preset module 1 is used to lay a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored; a first signal transmission processing module 2 is used to control the plurality of electromagnetic transmitters to emit a first initial signal to the ground according to the magnetotelluric method; the plurality of signal acquisition stations demodulate the signals according to the first initial signal emitted by the ground to obtain geological noise signals; extract and save the waveforms of the geological noise signals, and define them as comparison signals; a second signal transmission processing module 3 is used to control the plurality of electromagnetic transmitters to emit a second initial signal to the ground according to the electromagnetic induction method; the plurality of signal acquisition stations decode the waveforms according to the second initial signal emitted by the ground, and perform multiple superpositions on the received second initial signals to obtain detection signals; an effective signal processing module 4 is used to subtract the detection signals from the comparison signals to obtain effective signals; generate a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signals; a result module 5 is used to use a preset deep learning model to train and learn multiple manually determined characteristic imaging maps, put the new characteristic imaging map into judgment to obtain characteristic points with human interference; mark the characteristic points in the characteristic imaging map and output the final result.

[0066] Embodiment 3

[0067] Please refer to Figure 5 , an electromagnetic exploration processing device provided by the present invention, includes at least one processor 6, at least one memory 7 and a data bus 8; wherein: the processor 6 and the memory 7 complete mutual communication through the data bus 8; the memory 7 stores program instructions executable by the processor 6, and the processor 6 calls the program instructions to execute an electromagnetic exploration method. For example, it realizes:

[0068] Lay a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored; control the plurality of electromagnetic transmitters to emit a first initial signal to the ground according to the magnetotelluric method; the plurality of signal acquisition stations demodulate the signals according to the first initial signal emitted by the ground to obtain geological noise signals; extract and save the waveforms of the geological noise signals, and define them as comparison signals; control the plurality of electromagnetic transmitters to emit a second initial signal to the ground according to the electromagnetic induction method; the plurality of signal acquisition stations decode the waveforms according to the second initial signal emitted by the ground, and perform multiple superpositions on the received second initial signals to obtain detection signals; subtract the detection signals from the comparison signals to obtain effective signals; generate a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signals; use a preset deep learning model to train and learn multiple manually determined characteristic imaging maps, put the new characteristic imaging map into judgment to obtain characteristic points with human interference; mark the characteristic points in the characteristic imaging map and output the final result.

[0069] Embodiment 4

[0070] The present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor 6, an electromagnetic exploration method is implemented. For example, it implements:

[0071] Lay a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored; control the plurality of electromagnetic transmitters to emit a first initial signal to the earth according to the magnetotelluric method; the plurality of signal acquisition stations demodulate the signals according to the first initial signal emitted by the earth to obtain geological noise signals; extract and save the waveforms of the geological noise signals, and define them as comparison signals; control the plurality of electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method; the plurality of signal acquisition stations decode the waveforms according to the second initial signal emitted by the earth, and perform multiple superpositions on the received second initial signals to obtain detection signals; subtract the detection signals from the comparison signals to obtain effective signals; generate a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signals; use a preset deep learning model to train and learn multiple manually determined characteristic imaging maps, put the new characteristic imaging map into judgment, and obtain characteristic points with human interference; mark the characteristic points in the characteristic imaging map and output the final result.

[0072] Among them, the memory 7 can be but is not limited to, a random access memory (Random Access Memory, RAM), a read-only memory (Read Only Memory, ROM), a programmable read-only memory (Programmable Read-Only Memory, PROM), an erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable programmable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.

[0073] The processor 6 can be an integrated circuit chip with signal processing capabilities. The processor 6 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0074] If the above functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art or a part of this technical solution can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disks, or optical discs and other various media that can store program codes.

[0075] The above are only the preferred embodiments of this application and are not used to limit this application. For those skilled in the art, this application can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

[0076] For those skilled in the art, it is obvious that this application is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of this application, this application can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of this application is defined by the appended claims rather than the above description. Therefore, it is intended to cover all changes falling within the meaning and scope of the equivalent elements of the claims in this application. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. An electromagnetic exploration method, characterized in that, it includes: Laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored; Controlling the plurality of electromagnetic transmitters to emit a first initial signal to the earth according to the magnetotelluric method; The plurality of signal acquisition stations demodulate the signals according to the first initial signal emitted by the earth to obtain geological noise signals; Extracting and saving the waveforms of the geological noise signals, and defining them as comparison signals; Controlling the plurality of electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method; The plurality of signal acquisition stations perform waveform decoding according to the second initial signal emitted by the earth, and perform multiple superpositions on the received second initial signal to obtain detection signals; Subtracting the detection signal from the comparison signal to obtain an effective signal; Generating a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signal; Using a preset deep learning model to train and learn multiple manually determined characteristic imaging maps, putting the new characteristic imaging map into judgment, and obtaining characteristic points with human interference; Marking the characteristic points in the characteristic imaging map and outputting the final result.

2. An electromagnetic exploration method according to claim 1, characterized in that, The step of laying a plurality of electromagnetic acquisition stations and a plurality of electromagnetic transmitters in the area to be explored includes: A plurality of electromagnetic acquisition stations and a plurality of electromagnetic transmitters are respectively laid out in an array at the same preset distance interval in the area to be explored.

3. An electromagnetic exploration method according to claim 1, characterized in that, The steps before laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored include: Measuring the size and area of the area to be explored, and presetting a plurality of acquisition points for placing the signal acquisition stations and a plurality of emission points for placing the electromagnetic transmitters on the area according to the size and area.

4. An electromagnetic exploration method according to claim 1, characterized in that, The step of generating an electrical property characteristic imaging map reflecting the underground geological conditions according to the effective signal further includes: The characteristic imaging map is distinguished by different colors according to different geologies, and at the same time a comparison table of colors and geological types is generated.

5. An electromagnetic exploration method according to claim 1, characterized in that, The step of using a preset deep learning model to train and learn multiple manually determined characteristic imaging maps includes: Presetting various manifestation patterns of human interference in the characteristic imaging map, Using a convolutional neural network model to perform deep learning according to the various manifestation patterns.

6. An electromagnetic exploration method according to claim 1, characterized in that, The step of putting the new characteristic imaging map into judgment includes: Dividing the three-dimensional electrical property characteristic imaging map at a preset interval, and putting the cross-sectional view of each small block after division into the deep learning model for judgment.

7. An electromagnetic exploration method according to claim 1, characterized in that, The step of controlling the plurality of electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method includes: Controlling two said electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method, and the two said electromagnetic transmitters are located at the middle position of the said area.

8. An electromagnetic exploration system, characterized in that, it includes: A preset module for laying a plurality of signal acquisition stations and a plurality of electromagnetic transmitters in the area to be explored; A first signal emission processing module for controlling a plurality of said electromagnetic transmitters to emit a first initial signal to the earth according to the magnetotelluric method; A plurality of said signal acquisition stations demodulate signals according to the first initial signal emitted by the earth to obtain geological noise signals; extract the waveforms of the said geological noise signals and save them, which are defined as comparison signals; A second signal emission processing module for controlling a plurality of said electromagnetic transmitters to emit a second initial signal to the earth according to the electromagnetic induction method; A plurality of said signal acquisition stations perform waveform decoding on the second initial signal emitted by the earth and perform multiple superpositions on the received second initial signal to obtain a detection signal; An effective signal processing module for subtracting the said detection signal from the comparison signal to obtain an effective signal; generating a three-dimensional electrical property characteristic imaging map reflecting the underground geological conditions according to the said effective signal; A result module for using a preset deep learning model to perform training and learning on a plurality of manually determined characteristic imaging maps, putting the new said characteristic imaging map into judgment to obtain characteristic points with human interference; marking the said characteristic points in the said characteristic imaging map and outputting the final result.

9. An electromagnetic exploration processing device, characterized in that, it includes at least one processor, at least one memory and a data bus; wherein: the processor and the memory complete mutual communication through the data bus; the memory stores program instructions executed by the processor, and the processor calls the program instructions to execute the method according to any one of claims 1-7.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that, when the computer program is executed by a processor, it implements the method according to any one of claims 1-7.

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