Mineral prospecting method based on response of electromagnetic waves to minerals and related device

Abstract

The invention relates to a mineral prospecting method based on response of electromagnetic waves to minerals and a related device, and belongs to the technical field of mineral exploration, the mineral prospecting method based on response of electromagnetic waves to minerals comprises the following steps: obtaining a reflection electromagnetic wave signal after a preset emission electromagnetic wave signal is reflected by a to-be-detected area; performing spectral analysis on the reflected electromagnetic wave signal, determining a frequency distribution spectrum of the reflected electromagnetic wave signal, and filtering the frequency distribution spectrum to obtain an effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal; and calculating a power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding emission electromagnetic wave signal, and obtaining the mineral resource information of the to-be-detected area based on the power attenuation value and a preset mapping relation between the power attenuation value and the mineral resource information. According to the invention, accurate detection of mineral resource information can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mineral exploration, and in particular to a mineral exploration method based on electromagnetic wave response to minerals and related devices. BACKGROUND

[0002] Traditional mineral exploration methods are diverse, among which geological survey methods are to analyze the geological conditions and prospecting criteria of mineralization by detailed field observation and research on geological features such as strata, rocks, and structures.

[0003] In traditional mineral exploration methods, geophysical exploration is to detect the distribution of underground rocks and minerals by using geophysical phenomena such as gravity, magnetic force, electric field, etc. Taking the magnetic method to explore iron ore resources as an example, since there is a difference in the magnetism of iron ore and surrounding rocks, the potential location of iron ore can be found by measuring the change of the geomagnetic field with a magnetometer. However, the detection result of this method is easily disturbed by geological conditions, such as the complexity of geological structure and the unevenness of rock magnetism, which will affect the accuracy of the data and lead to deviation in the judgment of mineral type, location, and reserves.

[0004] Therefore, the prior art is not accurate in mineral exploration and cannot meet modern requirements. SUMMARY

[0005] Therefore, it is necessary to provide a mineral exploration method based on electromagnetic wave response to minerals and related devices to solve the problem that the prior art is not accurate in mineral exploration and cannot meet modern requirements.

[0006] To solve the above problems, in a first aspect, the present application provides a mineral exploration method based on electromagnetic wave response to minerals, comprising: acquiring a reflected electromagnetic wave signal after a preset emitted electromagnetic wave signal is reflected by a to-be-detected area; performing frequency spectrum analysis on the reflected electromagnetic wave signal to determine a frequency distribution spectrum of the reflected electromagnetic wave signal, and performing filtering on the frequency distribution spectrum to obtain an effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal; calculating power attenuation values of the effective frequency band electromagnetic wave signal and the corresponding emitted electromagnetic wave signal, and obtaining mineral information of the to-be-detected area based on the power attenuation values and a preset mapping relationship between power attenuation values and mineral information.

[0007] In a possible implementation, the frequency spectrum analysis on the reflected electromagnetic wave signal to determine the frequency distribution spectrum of the reflected electromagnetic wave signal, and the filtering on the frequency distribution spectrum to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal, comprise: The noise energy of the reflected electromagnetic wave signal in each frequency band is calculated by Fourier transform, a frequency distribution map of the reflected electromagnetic wave signal is established based on the noise energy of each frequency band, and the filtering threshold of each frequency band is determined based on the frequency distribution map; The reflected electromagnetic wave signal is filtered based on the filtering threshold using a wavelet transform filtering algorithm to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave.

[0008] In a possible implementation, after obtaining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal, the method comprises: The power density of the effective frequency band electromagnetic wave signal is calculated, and the deviation degree of the power density from a preset reference power density is calculated, the preset reference power density being the power density of the background electromagnetic wave signal of the to-be-detected region; The gain weight of the effective frequency band electromagnetic wave signal is calculated based on the deviation degree, and the power of the effective frequency band electromagnetic wave signal is enhanced using the gain weight.

[0009] In a possible implementation, the reflected electromagnetic wave signal after the to-be-detected region reflects the preset transmitted electromagnetic wave signal is obtained, comprising: The sampling time and the sampling position of the reflected electromagnetic wave are obtained; After determining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave based on the frequency distribution map, the method comprises: The effective frequency band electromagnetic wave signal is aligned in time and space based on the sampling time and the sampling position and the phase information of the effective frequency band electromagnetic wave signal.

[0010] In a possible implementation, the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal is calculated, comprising: The phase change rate of the effective frequency band electromagnetic wave is calculated, the effective frequency band electromagnetic wave is three-dimensionally interpolated in a spatial Cartesian coordinate system based on the phase change rate, and a continuous phase value in the to-be-detected region is determined; The power attenuation value of the effective frequency band electromagnetic wave and the corresponding transmitted electromagnetic wave signal is calculated based on the continuous phase value, the distance between the sampling position in the to-be-detected region and the signal source of the transmitted electromagnetic wave signal, and the transmission power of the transmitted electromagnetic wave.

[0011] In a possible implementation, the mineral information of the to-be-detected region is determined based on the power attenuation value and a preset mapping relationship between the power attenuation value and the mineral information. The temperature information and the humidity information of the to-be-detected region are obtained; The probability of the mineral type of the to-be-detected region is determined based on the preset mapping relationship of the power attenuation value, the temperature information, the humidity information, and the phase information of the to-be-detected region, wherein the preset mapping relationship is used to represent the probability of different mineral types corresponding to different power attenuation values, temperature information, humidity information, and phase information.

[0012] In a possible implementation, after the mineral information of the to-be-detected region is determined based on the power attenuation value and the preset mapping relationship of the power attenuation value and the mineral information, the method further includes: A mineral distribution map of the to-be-detected region is constructed based on the probability of the mineral type of each sampling position in the to-be-detected region, and the mineral distribution map is used to display the probability of the mineral type of each position in the to-be-detected region.

[0013] In a second aspect, the present application further provides a mineral exploration device based on the response of electromagnetic waves to minerals, including: The signal acquisition module is configured to acquire a reflected electromagnetic wave signal after the to-be-detected region reflects a preset transmitted electromagnetic wave signal. The signal processing module is configured to perform frequency spectrum analysis on the reflected electromagnetic wave signal, determine a frequency distribution map of the reflected electromagnetic wave signal, and filter the frequency distribution map to obtain an effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal. The mineral identification module is configured to calculate a power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal, and determine the mineral information of the to-be-detected region based on the power attenuation value and a preset mapping relationship of the power attenuation value and the mineral information.

[0014] In a third aspect, the present application further provides a mineral exploration device, including a signal receiver, a memory, and a processor, wherein: The signal receiver is configured to receive an electromagnetic wave signal of a to-be-detected region. The memory is configured to store a program. The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps in the mineral exploration method based on the response of electromagnetic waves to minerals in any of the above embodiments.

[0015] In a fourth aspect, the present application further provides a computer readable storage medium for storing a computer readable program or instruction, which can implement the steps in the mineral exploration method based on the response of electromagnetic waves to minerals in any of the above embodiments when executed by a processor.

[0016] The beneficial effects of the present application are that the ore prospecting method based on the response of minerals to electromagnetic waves provided by the present application can effectively exclude external interference in the reflected electromagnetic wave signal, reduce the influence of the environment on ore prospecting, and accurately detect the ore information by calculating the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal, based on the power attenuation value, determining the ore information of the to-be-detected area according to a preset mapping relationship, and the attenuation of electromagnetic waves caused by different types, different volumes and different positions of the ore is different. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 A flowchart of an ore prospecting method based on the response of minerals to electromagnetic waves provided by the present application is shown in the figure. Figure 2 A flowchart of an effective frequency band electromagnetic wave signal acquisition method provided by the present application is shown in the figure. Figure 3 A flowchart of a signal enhancement method provided by the present application is shown in the figure. Figure 4 A flowchart of a power attenuation value calculation method provided by the present application is shown in the figure. Figure 5 A flowchart of an ore information determination method provided by the present application is shown in the figure. Figure 6 A structure diagram of an ore prospecting device based on the response of minerals to electromagnetic waves provided by the present application is shown in the figure. Figure 7 A structure diagram of an ore prospecting device provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present application will be specifically described below in conjunction with the drawings, wherein the drawings form a part of the present application and are used to illustrate the principles of the present application together with the embodiments of the present application, but are not used to limit the scope of the present application.

[0020] Reference to“an embodiment” herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase“in an embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily all referring to a particular embodiment logically divided into different sections of the specification. It is explicitly contemplated that embodiments described herein can be combined to form additional embodiments.

[0021] One specific embodiment of the application, as shown in Figure 1 discloses a mineral exploration method based on the response of electromagnetic waves to minerals, comprising: S101, obtaining a reflected electromagnetic wave signal after the preset emitted electromagnetic wave signal is reflected by the to-be-detected area.

[0022] In the embodiment of the application, the mineral exploration method based on the response of electromagnetic waves to minerals can be applied to a mobile device integrated with a GPS, Beidou GNSS module, radio, and the like. The mobile device sends an emitted electromagnetic wave signal to the to-be-detected area through a wireless radio wave emitting module such as a router or WiFi. The emitted electromagnetic wave signal is reflected by a mineral deposit in the to-be-detected area to form a reflected electromagnetic wave signal, which is then collected by an electromagnetic wave collecting device on the mobile device.

[0023] In the embodiment of the application, further, in a mineral exploration scenario, a mobile phone with a GPS, Beidou GNSS module, radio function, WiFi module, humidity sensor, temperature sensor, and running an open source system, and a portable router are selected. An operator turns on the portable router and sets it as an active signal source. The specific frequency band of radio waves emitted by the portable router is adjusted according to actual exploration requirements (the frequency band adjustment range includes but is not limited to common wireless communication frequency bands). Before emission, the mobile phone performs legality detection on the selected frequency band by calling a radio management regulation database to ensure compliance with relevant regulations.

[0024] S102, performing frequency spectrum analysis on the reflected electromagnetic wave signal to determine a frequency distribution map of the reflected electromagnetic wave signal, filtering the frequency distribution map to obtain an effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal.

[0025] In the embodiment of the present application, because there are many electromagnetic interferences in nature, for the received transmitted electromagnetic wave signal, interference removal processing is needed, specifically, the reflected electromagnetic wave signal can be subjected to frequency spectrum analysis to determine a frequency distribution graph of the reflected electromagnetic wave signal, the frequency distribution graph is used to represent the noise energy of the reflected electromagnetic wave signal in each frequency band, and the effective frequency band electromagnetic wave signal of the reflected electromagnetic wave is determined based on the noise energy of the reflected electromagnetic wave signal in each frequency band. The specific determination process of the frequency spectrum analysis and the effective frequency band electromagnetic wave signal will be described in detail later.

[0026] In the embodiment of the present application, because different mine categories, quantities, depths, etc. have different power attenuation effects on electromagnetic waves, based on this, the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal can be calculated, and then the mine information corresponding to the power attenuation value is determined according to the pre-established mapping relationship. The pre-established mapping relationship is determined by analyzing the past mine exploration data to determine the attenuation effect of different mine categories, quantities, depths on electromagnetic wave signals.

[0027] In the embodiment of the present application, because different mine categories, quantities, depths, etc. have different power attenuation effects on electromagnetic waves, based on this, the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal can be calculated, and then the mine information corresponding to the power attenuation value is determined according to the pre-established mapping relationship. The pre-established mapping relationship is determined by analyzing the past mine exploration data to determine the attenuation effect of different mine categories, quantities, depths on electromagnetic wave signals.

[0028] The mine exploration method based on the electromagnetic wave response to minerals provided in the present application can effectively exclude external interference in the reflected electromagnetic wave signal and reduce the influence of the environment on mine exploration by collecting the reflected electromagnetic wave of the preset transmitted electromagnetic wave in the to-be-detected area, performing frequency spectrum analysis on the reflected electromagnetic wave, and determining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal. The power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal is calculated, the mine information of the to-be-detected area is determined based on the power attenuation value according to the pre-established mapping relationship, and different types, different quantities, and different positions of the mine cause different attenuations of the electromagnetic wave, so that accurate exploration of the mine category can be realized.

[0029] In some possible embodiments of the present application, as shown in Figure 2 The frequency spectrum analysis of the reflected electromagnetic wave signal is performed to determine a frequency distribution graph of the reflected electromagnetic wave signal, the frequency distribution graph is filtered to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal, including: S201, the noise energy of the reflected electromagnetic wave signal in each frequency band is calculated by using Fourier transform, the frequency distribution graph of the reflected electromagnetic wave signal is established based on the noise energy of each frequency band, and the filter threshold of each frequency band is determined based on the frequency distribution graph; S202, the reflected electromagnetic wave signal is filtered by using a wavelet transform filtering algorithm based on the filter threshold to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave.

[0030] In the embodiment of the present application, when the reflected electromagnetic wave signal is subjected to spectrum analysis, Fourier transform can be used to calculate the noise energy of the reflected electromagnetic wave signal in each frequency band, and the specific calculation formula is as follows:

[0031] wherein, is the noise energy of the reflected electromagnetic wave signal at frequency f, is the time domain signal of the reflected electromagnetic wave, and is the sampling time range of the reflected electromagnetic wave signal, and a frequency distribution map is established by the calculation results of the reflected electromagnetic wave signal in the full frequency band, which is used to determine the main concentrated frequency band of the interference signal. After determining the main concentrated frequency band of the interference signal, the reflected electromagnetic wave signal is subjected to multi-scale wavelet decomposition, and a dynamically adjusted threshold strategy is used to filter out the interference in different scales. The threshold setting in the wavelet domain is determined according to the noise energy distribution results, and the calculation formula is as follows:

[0032] wherein, is the noise energy of the reflected electromagnetic wave signal at frequency f, i is the noise energy of the reflected electromagnetic wave signal at frequency f, is the standard deviation of the wavelet coefficients corresponding to the wavelet decomposition of the first layer, i is the standard deviation of the wavelet coefficients corresponding to the wavelet decomposition of the first layer, n is the total number of sampling bands, and the scale is dynamically adjusted according to the frequency band , so that the filtering strength is increased in the high-energy noise area, and the effective signal is preserved in the low interference frequency band.

[0033] Specifically, in order to further enhance the target frequency band signal and improve the signal-to-noise ratio, the mobile phone uses the power spectrum density estimation method to calculate the distribution characteristics of the signal energy in the frequency domain on the basis of the preliminary denoising signal after wavelet filtering. Let the reflected electromagnetic wave signal be , the frequency domain expression thereof is obtained by fast Fourier transform , the power spectrum density estimation value of the signal at frequency f is , and the background signal collected before the mine area detection constitutes a reference electromagnetic background value . In the band pass enhancement process, for the target frequency point (such as 1000 Hz, 2000 Hz), the system first compares the current estimation value with the background value . If , it indicates that the signal in this frequency band is attenuated or covered, and the system automatically assigns a gain factor to amplify the signal in this frequency band. If , in order to prevent signal saturation or nonlinear distortion, a gain factor The final enhanced frequency domain signal is represented as:

[0034] wherein is the gain-adjusted signal, is a gain coefficient dynamically matched with the electromagnetic background value, which is adaptively adjusted according to the actual power difference. The band-pass enhancement strategy realizes the highlighting of the characteristic frequency band by precisely controlling the gain of the target frequency, effectively improves the signal-to-noise ratio, and provides reliable guarantee for the subsequent phase calibration and feature extraction.

[0035] In some possible embodiments of the present application, as shown in Figure 3 after obtaining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal, the method comprises: S301, calculating the power density of the effective frequency band electromagnetic wave signal, and calculating the deviation degree of the power density from a preset reference power density, the preset reference power density being the power density of the background electromagnetic wave signal of the region to be detected; S302, calculating the gain weight of the effective frequency band electromagnetic wave signal based on the deviation degree, and performing power enhancement on the effective frequency band electromagnetic wave signal by using the gain weight.

[0036] In the embodiments of the present application, after the signal is preliminarily denoised, the power spectrum density of the reserved signal is estimated to identify and enhance the key frequency characteristics. Based on the purified signal data formed in the anti-interference processing stage, the system extracts the power distribution of the signal in the frequency domain by using fast Fourier transform, constructs the power spectrum density function of the target frequency band, extracts the electromagnetic background value of the mining area as a reference baseline by analyzing the spectral stability of the undisturbed signal in multiple sampling periods, and judges the relative energy deviation degree of the signal at the characteristic frequency based on the reference baseline. The power spectrum density calculation formula of the reflected electromagnetic wave signal is as follows:

[0037] wherein, represents the power density of the signal at the frequency f, is the expression form of the signal in the time domain, and T is the integral time window. The system automatically identifies the frequency components corresponding to the scattering characteristics or reflected echoes of the ore body, such as 1000 Hz and 2000 Hz, according to the analysis of , and calculates the dynamic gain weight according to the deviation of the current power compared with the background value. The calculation formula of the dynamic gain weight is as follows:

[0038] wherein, is the gain applied at the frequency f, is the basic gain weight, The electromagnetic background power density at the frequency point, The actual power spectrum density of the current signal. When the signal power is lower than the background value, The system automatically increases the gain to enhance the target frequency band signal component and improve its prominence in the overall spectrum. When the signal power is significantly higher than the background value, the gain is maintained or suppressed to avoid excessive amplification of noise.

[0039] The present application improves the signal-to-noise ratio of the target frequency band signal through the band-pass enhancement mechanism, further suppresses the residual background noise and non-characteristic frequency components, and provides more discriminative frequency information for subsequent phase consistency calibration and feature modeling.

[0040] In some possible embodiments of the present application, the reflected electromagnetic wave signal after the preset transmitted electromagnetic wave signal is reflected by the to-be-detected area is obtained, including: Obtaining the sampling time and sampling position of the reflected electromagnetic wave; After determining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave based on the frequency distribution map, including: Aligning the effective frequency band electromagnetic wave signal in time and space based on the sampling time and sampling position and the phase information of the effective frequency band electromagnetic wave signal.

[0041] In the embodiments of the present application, when collecting the reflected electromagnetic wave signal, the system obtains accurate geographic position information and nanosecond-level time stamps through the integrated GPS and Beidou GNSS modules, ensuring that each set of collected data in the subsequent signal processing process has high-precision time and space labels. Through the radio function, electromagnetic wave signals naturally existing or reflected by minerals in the mining area are received. These signals have a wide frequency range and may contain natural radiation characteristic waveforms from the stratum structure and the ore itself. At the same time, the portable router transmits stable radio signals, and the WiFi module continuously captures the 2.4GHz and 5GHz frequency band signals transmitted by it, so as to be used for subsequent signal interference analysis and reflected signal identification. In addition to electromagnetic information, the ambient humidity and temperature data around the sampling point are also recorded by the humidity sensor and the temperature sensor simultaneously, which are used to construct a dynamic correction model to improve the accuracy of mineral identification. All collected data content includes electromagnetic waveforms, power values, phase angles, signal reception times, geographic coordinates at the collection time, and corresponding temperature and humidity values.

[0042] Specifically, the calculation formula of the signal power is:

[0043] Among them, P The power of the received signal (unit: dBm), VThe root mean square voltage value of the signal (unit: V), R The equivalent load impedance of the receiving system (unit: ohm, usually R=50 Ω).

[0044] The phase angle of the signal is calculated by the following formula:

[0045] wherein, The phase angle (unit: radian), f is the signal frequency (unit: Hz), and Δt is the time difference between the current received signal and the reference signal (unit: s).

[0046] After the signal completes the frequency enhancement processing, the system performs spatio-temporal consistency calibration on the signal phase to eliminate the phase jump error caused by the displacement of the detection device, the multipath propagation of the channel, and the non-ideal synchronization of the sampling time. By providing the timestamp with nanosecond-level precision and high-resolution geographic coordinate information through the GNSS module, each phase data is one-to-one corresponding to its receiving time and receiving position, forming a phase record set with complete spatio-temporal tags.

[0047] Further, as shown in Figure 4 The power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal is calculated, including: S401, calculating the phase change rate of the effective frequency band electromagnetic wave, performing three-dimensional interpolation on the effective frequency band electromagnetic wave in the spatial Cartesian coordinate system based on the phase change rate, and determining the continuous phase value in the to-be-detected region; S402, calculating the power attenuation value of the effective frequency band electromagnetic wave and the corresponding transmitted electromagnetic wave signal based on the continuous phase value, the distance between the sampling position in the to-be-detected region and the signal source of the transmitted electromagnetic wave signal, and the transmission power of the transmitted electromagnetic wave.

[0048] In the embodiment of the application, for the phase sequence in the record, the system first calculates the phase change rate by using linear time series difference, and the calculation formula is as follows:

[0049] wherein, The phase difference between adjacent sampling points, f is the signal carrier frequency, The adjacent timestamp difference is represented by Δt, The phase disturbance term caused by channel change or path change is represented by Δφ.

[0050] By calculating The sequence is statistically filtered to remove abrupt changes and reconstruct a continuous phase trajectory. Simultaneously, the system constructs a spatial Cartesian coordinate system. The phase values ​​received at different locations during signal propagation in space are used to estimate the precise path between adjacent sampling points using a least-squares spatial fitting algorithm. The three-dimensional interpolation formula is as follows:

[0051] in, Indicates at the target location ( x , y , z The phase value observed or interpolated on the image. For the phase data of sampling point i, The corresponding interpolation weights satisfy normalization and inverse distance relationship.

[0052] Given phase observations at multiple spatial points, the phase value at any spatial point is estimated using interpolation methods, thus establishing a continuous mapping relationship between phase and spatial coordinates. This ensures the continuity of the phase value's spatial distribution at any given time. Finally, the system integrates the phase and power variation patterns with time and location, calibrates the power attenuation model, and constructs a complete signal parameter set. The power calculation formula is as follows:

[0053] in, For received power, For transmission power, To detect the distance between the detection equipment and the emission source, This is the path loss coefficient. For phase enhancement modulation coefficients, This represents the phase value after spatiotemporal calibration. Through the above model, a high-precision match is achieved between the power attenuation value and the actual spatial path and phase changes, providing accurate physical parameter support for subsequent mineral identification and spatial modeling.

[0054] In some possible embodiments of the present invention, such as Figure 5 As shown, the mineral deposit information of the area to be detected, based on the power attenuation value and the preset mapping relationship between the power attenuation value and mineral deposit information, includes: S501, acquire temperature and humidity information of the area to be detected; S502, based on the power attenuation value, temperature information, humidity information and phase information of the area to be detected, the probability of the mineral deposit type of the area to be detected is determined by a preset mapping relationship. The preset mapping relationship is used to represent the probability of different mineral deposit types corresponding to different power attenuation values, temperature information, humidity information and phase information.

[0055] In the embodiments of the present application, after the anti-interference processing and phase calibration of the signal are completed, the current acquired signal parameters are compared with the preset characteristics of the ore. The current signal parameters include power attenuation value, phase change rate, spatial coordinates x , y , z ) and environmental parameters such as humidity RH and temperature T, while the preset signal characteristics are derived from historical signal experimental data acquired for a long time in a plurality of known ore areas. In order to ensure the accuracy of the comparison, the system first introduces an environmental correction mechanism, and dynamically adjusts the comparison reference signal model according to the difference between the real-time environment and the historical environment. The calculation formula of the power attenuation value is as follows:

[0056] Among them, is the power attenuation value after environmental correction, is the basic power attenuation value under standard humidity and temperature conditions, and are the humidity and temperature compensation coefficients, , , wherein and are the reference environmental values in the preset model of the ore. In order to improve the discrimination ability of the model comparison, the system synchronously normalizes the phase change to construct a multi-dimensional signal difference vector

[0057] Among them, is the current phase parameter, is the preset reference phase value, and the signal difference vector is input as a feature into a discriminant model for matching and scoring. The classifier trained by the system based on a large number of measured samples analyzes the similarity of the vector, and outputs the matching degree of the current point with each type of ore according to the relative distance or probability. Finally, in order to realize the mapping between the ore type and the signal parameter, the system trains and fits a multi-class nonlinear mapping function, and outputs the ore category C corresponding to the current geographic point through a supervised learning model , which provides high-precision ore determination basis for subsequent distribution visualization and target positioning.

[0058] After the signal and environmental characteristics are corrected and compared, a mapping model between the ore area type and the signal parameter is constructed based on the multi-dimensional parameter set after the signal characteristics are preprocessed. The input data is composed of a plurality of feature dimensions, including the power attenuation value after denoising, the phase change amount after space-time calibration, real-time humidity RH, real-time temperature T, spatial coordinates (x, y, z), signal timestamp t. The system adopts a supervised machine learning method, taking a structured feature vector as input, to construct a mapping function f from the feature space to the mineral classification label space C, represented as

[0059] wherein, X is an input vector composed of signal parameters and environmental information, and C is the output mineral type label. To optimize classification accuracy, the model introduces a soft probability distribution function, which outputs the corresponding probability of each mineral type , and the overall classification decision function is in the form of:

[0060] wherein is the final determined mineral type. During training, the model learns parameters using historical data from known mineral areas, uses cross-entropy loss function to measure classification accuracy, and selects high-dimensional nonlinear classification algorithms such as deep neural networks or support vector machines according to the nonlinear distribution characteristics of the signal space, so that the model has strong generalization ability for complex environments with multiple minerals. After training is completed, the model is deployed on the local system of the mobile terminal to automatically classify and determine the results of each signal collection, supporting subsequent mineral identification and distribution visualization operations.

[0061] Further, after the mineral information of the to-be-detected area based on the power attenuation value and the mapping relationship between the preset power attenuation value and the mineral information, including: constructing a mineral distribution map in the to-be-detected area based on the probability of the mineral type of each sampling position in the to-be-detected area, and the mineral distribution map is used to display the probability of the mineral type of each position in the to-be-detected area.

[0062] In the embodiment of the present application, in order to ensure that the preset signal characteristic rule always has high accuracy and adaptability, periodic data updating operation needs to be carried out in the known mineral distribution area. The operator uses the mobile phone and portable router equipment consistent with the formal detection stage, periodically carries out field collection experiment, and synchronously records the environmental information such as signal parameters, temperature and humidity, altitude and real mineral types in the collection process. After the collection is completed, the data obtained in the current period is integrated with the past data to form a complete historical cumulative sample set, and on this basis, the fitting calculation of the environmental correction model parameters is re-performed. The contents displayed by the display module include: marking the mineral distribution range on the electronic map, distinguishing different minerals by different colors and icons, and displaying the signal parameters (power attenuation value, phase change value) of each detection point, environmental parameters (humidity, temperature) and mineral identification confidence; when transmitting information remotely through the communication module, an encryption communication protocol is used to encrypt the transmission data, so as to ensure the safety and reliability of information transmission.

[0063] In order to better implement the ore prospecting method based on the response of electromagnetic wave to mineral in the embodiment of the present application, on the basis of the ore prospecting method based on the response of electromagnetic wave to mineral, as shown in Figure 6 The present application also provides an ore prospecting device based on the response of electromagnetic wave to mineral, which comprises: A signal acquisition module 601 is configured to acquire reflected electromagnetic wave signals after the preset transmitted electromagnetic wave signals are reflected by the to-be-detected area. A signal processing module 602 is configured to perform frequency spectrum analysis on the reflected electromagnetic wave signals, determine the frequency distribution atlas of the reflected electromagnetic wave signals, and perform filtering on the frequency distribution atlas to obtain effective frequency band electromagnetic wave signals in the reflected electromagnetic wave signals. A mineral identification module 603 is configured to calculate the power attenuation value of the effective frequency band electromagnetic wave signals and the corresponding transmitted electromagnetic wave signals, and obtain the mineral information of the to-be-detected area based on the power attenuation value and a preset mapping relationship between the power attenuation value and the mineral information.

[0064] The ore prospecting device 600 based on the response of electromagnetic wave to mineral provided in the above embodiment can realize the technical solutions described in the above ore prospecting method embodiment based on the response of electromagnetic wave to mineral. The principles of the specific implementation of the above modules or units can be referred to the corresponding contents in the above ore prospecting method embodiment based on the response of electromagnetic wave to mineral, which will not be described here.

[0065] As shown in Figure 7 The present application also provides an ore prospecting device 700. The ore prospecting device 700 comprises a processor 701, a memory 702, a display 703 and a signal receiver 704. Figure 7Only some components of the prospecting device 700 are shown, but it should be understood that all the shown components are not required to be implemented, and more or less components can be alternatively implemented.

[0066] The processor 701 can be a central processing unit (CPU), a microprocessor, or other data processing chip in some embodiments, for running program codes stored in the memory 702 or processing data, such as the prospecting method based on electromagnetic wave response to minerals in the present application.

[0067] In some embodiments, the processor 701 can be a single server or a group of servers. The group of servers can be centralized or distributed. In some embodiments, the processor 701 can be local or remote. In some embodiments, the processor 701 can be implemented in a cloud platform. In some embodiments, the cloud platform can include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0068] The memory 702 can be an internal storage unit of the prospecting device 700, such as a hard disk or a memory of the prospecting device 700 in some embodiments. The memory 702 can also be an external storage device of the prospecting device 700, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the prospecting device 700 in other embodiments.

[0069] Further, the memory 702 can include both the internal storage unit and the external storage device of the prospecting device 700. The memory 702 is used to store application software installed on the prospecting device 700 and various types of data.

[0070] The display 703 can be an LED display, a liquid crystal display, a touch liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, etc. in some embodiments. The display 703 is used to display information of the prospecting device 700 and to display a visualized user interface. The components 701-703 of the prospecting device 700 communicate with each other through a system bus.

[0071] In some embodiments, when the processor 701 executes the prospecting program in the memory 702, the following steps can be implemented: acquiring a reflected electromagnetic wave signal reflected by the preset transmitted electromagnetic wave signal in the to-be-detected area; The reflected electromagnetic wave signal is subjected to spectrum analysis to determine a frequency distribution map of the reflected electromagnetic wave signal, and the frequency distribution map is subjected to filtering to obtain an effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal. The power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal is calculated, and the mineral information of the to-be-detected region is determined based on the power attenuation value and a preset mapping relationship between the power attenuation value and the mineral information.

[0072] It should be understood that, in addition to the above functions, the processor 701 can also implement other functions when executing the ore-prospecting program in the memory 702, and specific implementation can be referred to the description of the corresponding method embodiments.

[0073] Further, the type of the ore-prospecting device 700 referred to in the embodiments of the present application is not specifically limited, and the ore-prospecting device 700 can be a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop, or the like. Exemplary embodiments of the portable ore-prospecting device include, but are not limited to, a portable ore-prospecting device running an IOS, android, microsoft, or other operating system. The above-mentioned portable ore-prospecting device can also be other portable ore-prospecting devices, such as a laptop having a touch-sensitive surface (e.g., a touch panel). It should also be understood that, in some other embodiments of the present application, the ore-prospecting device 700 can also be a desktop computer having a touch-sensitive surface (e.g., a touch panel).

[0074] Further, the specific type of the signal receiver 704 referred to in the embodiments of the present application is not specifically limited, and includes, but is not limited to, a radio receiving device, a radio, and the like.

[0075] Correspondingly, the embodiments of the present application also provide a computer-readable storage medium for storing computer-readable programs or instructions, which, when executed by a processor, can implement the steps or functions in the ore-prospecting method based on the electromagnetic wave response of minerals provided by the above-mentioned method embodiments.

[0076] Those skilled in the art can understand that all or part of the processes of the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the program can be stored in a computer-readable storage medium. The computer-readable storage medium includes a magnetic disk, an optical disk, a read-only memory, or a random access memory, etc.

[0077] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A mineral exploration method based on the response of electromagnetic waves to minerals, characterized in that, include: Acquire the reflected electromagnetic wave signal after the area to be detected reflects the preset transmitted electromagnetic wave signal; Spectral analysis is performed on the reflected electromagnetic wave signal to determine the frequency distribution spectrum of the reflected electromagnetic wave signal. The frequency distribution spectrum is then filtered to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal. Calculate the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal, and obtain the mineral deposit information of the area to be detected based on the power attenuation value and the preset mapping relationship between the power attenuation value and mineral deposit information.

2. The prospecting method based on the response of electromagnetic waves to minerals according to claim 1, characterized in that, The step of performing spectral analysis on the reflected electromagnetic wave signal to determine the frequency distribution spectrum of the reflected electromagnetic wave signal, and filtering the frequency distribution spectrum to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal includes: The noise energy of the reflected electromagnetic wave signal in each frequency band is calculated using Fourier transform. Based on the noise energy of each frequency band, a frequency distribution spectrum of the reflected electromagnetic wave signal is established. Based on the frequency distribution spectrum, the filtering threshold of each frequency band is determined. Based on the filtering threshold, a wavelet transform filtering algorithm is used to filter the reflected electromagnetic wave signal to obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave.

3. The prospecting method based on the response of electromagnetic waves to minerals according to claim 1, characterized in that, After obtaining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal, the process includes: Calculate the power density of the electromagnetic wave signal in the effective frequency band, and calculate the deviation of the power density from the preset reference power density, wherein the preset reference power density is the power density of the background electromagnetic wave signal in the area to be detected; The gain weight of the effective frequency band electromagnetic wave signal is calculated based on the degree of deviation, and the power of the effective frequency band electromagnetic wave signal is enhanced using the gain weight.

4. The prospecting method based on the response of electromagnetic waves to minerals according to claim 1, characterized in that, The acquisition of the reflected electromagnetic wave signal after the region to be detected reflects the preset transmitted electromagnetic wave signal includes: Obtain the sampling time and sampling location of the reflected electromagnetic wave; After determining the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave based on the frequency distribution spectrum, the process includes: Spatiotemporal consistency alignment of the effective frequency band electromagnetic wave signal is performed based on the sampling time and sampling location and the phase information of the effective frequency band electromagnetic wave signal.

5. The prospecting method based on the response of electromagnetic waves to minerals according to claim 1, characterized in that, The calculation of the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal includes: Calculate the phase change rate of the electromagnetic wave in the effective frequency band, and perform three-dimensional interpolation of the electromagnetic wave in the effective frequency band in a spatial Cartesian coordinate system based on the phase change rate to determine the continuous phase value in the region to be detected; Based on the continuous phase value, the distance between the sampling position in the area to be detected and the signal source of the transmitted electromagnetic wave signal, and the transmission power of the transmitted electromagnetic wave, the power attenuation value of the effective frequency band electromagnetic wave and the corresponding transmitted electromagnetic wave signal is calculated.

6. The prospecting method based on the response of electromagnetic waves to minerals according to claim 5, characterized in that, The mineral deposit information of the area to be detected, based on the power attenuation value and a preset mapping relationship between the power attenuation value and mineral deposit information, includes: Obtain the temperature and humidity information of the area to be detected; Based on the power attenuation value, temperature information, humidity information, and phase information of the area to be detected, a preset mapping relationship is used to determine the probability of the mineral deposit type of the area to be detected. The preset mapping relationship is used to represent the probability of different mineral deposit types corresponding to different power attenuation values, temperature information, humidity information, and phase information.

7. The prospecting method based on the response of electromagnetic waves to minerals according to claim 6, characterized in that, Following the description of the mineral deposit information of the area to be detected based on the power attenuation value and a preset mapping relationship between the power attenuation value and mineral deposit information, the following is included: A mineral distribution map of the region to be explored is constructed based on the probability of mineral types at each sampling location in the region to be explored. The mineral distribution map is used to display the probability of mineral types at each location in the region to be explored.

8. A mineral exploration device based on the response of electromagnetic waves to minerals, characterized in that, include: The signal acquisition module is used to acquire the reflected electromagnetic wave signal after the area to be detected reflects the preset transmitted electromagnetic wave signal; The signal processing module is used to perform spectral analysis on the reflected electromagnetic wave signal, determine the frequency distribution spectrum of the reflected electromagnetic wave signal, filter the frequency distribution spectrum, and obtain the effective frequency band electromagnetic wave signal in the reflected electromagnetic wave signal. The mineral deposit identification module is used to calculate the power attenuation value of the effective frequency band electromagnetic wave signal and the corresponding transmitted electromagnetic wave signal, and to determine the mineral deposit information of the area to be detected based on the power attenuation value and the preset mapping relationship between the power attenuation value and mineral deposit information.

9. A mineral exploration device, characterized in that, Includes a signal receiver, memory, and processor, among which, The signal receiver is used to receive electromagnetic wave signals from the area to be detected. The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the prospecting method based on the response of electromagnetic waves to minerals as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the steps in the prospecting method based on the response of electromagnetic waves to minerals as described in any one of claims 1 to 7.

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