A method and system for constructing environmentally adaptive artificial source electromagnetic signals

Abstract

This application discloses an environment-adaptive artificial source electromagnetic signal construction method and system. When the target artificial source electromagnetic signal is a single-frequency square wave signal, the first inductance value, first capacitance value, and first resistance value of the signal transmitter supplying power to ground are obtained, and a first energy coefficient sequence within a preset frequency range is determined. A second energy coefficient sequence is determined using the fast Fourier transform method. When the first root mean square error value of the first energy sequence and the second energy sequence is less than a first preset threshold, the target artificial source electromagnetic signal is constructed. When the type is a multi-frequency pseudo-random signal, a multi-frequency pseudo-random signal is generated, and a third energy coefficient sequence of the multi-frequency pseudo-random signal is determined. When the second root mean square error value of the second energy sequence and the third energy sequence is less than a second preset threshold, the constructed multi-frequency pseudo-random signal is the target artificial source electromagnetic signal. This achieves environment adaptation and improves the signal-to-noise ratio of the receiving system and the detection effect in shallow and medium-depth areas.

Description

Technical Field

[0001] This application relates to the technical field of constructing electromagnetic signals from environmentally adaptive artificial sources, and in particular to a method and system for constructing electromagnetic signals from environmentally adaptive artificial sources. Background Technology

[0002] Artificial source electromagnetic methods (such as wide-area electromagnetic method (WFEM), controlled-source audio-frequency magnetotellurics (CSAMT), time-frequency electromagnetic method (TFEM), and spectral induced polarization (FIP)) are important techniques for geophysical exploration. Their basic principle involves a signal transmitter emitting high-power square wave signals of different frequencies to the ground, establishing an artificial source excitation signal field. A receiver on the ground uses a signal induction sensor to receive the electromagnetic response of this excitation signal after it has been conducted through the earth. The receiver then analyzes, processes, and interprets the signal to reveal differences in the physical properties of the probe area, and based on these differences, determines the structure and distribution of the subsurface medium.

[0003] Currently, research on artificial source electromagnetic signal transmission mainly focuses on how to construct signals with different frequency components and amplitudes, neglecting the adaptability of the constructed signals to actual hardware systems and construction environments. This leads to generator sets repeatedly switching between states of rapid power step changes for extended periods, resulting in phenomena such as "roaring" and "black smoke" emissions. The step spikes caused by the three parameters (inductance, capacitance, and resistance) can also break down power devices and damage the transmission system. Summary of the Invention

[0004] This application aims to at least address the technical problems existing in the prior art. To this end, this application proposes a method and system for constructing environmentally adaptive artificial source electromagnetic signals, capable of automatically measuring different frequencies in a construction environment. By integrating the normalized response curve, adaptively adjusting the transmission signal construction strategy, and optimizing the power supply circuit parameters of the transmission system, the problems of generator set "roaring" and "black smoke" in practical applications are solved, the failure rate of the transmission system is reduced, and the signal-to-noise ratio and detection effect of the receiving system in shallow and medium-depth areas are improved.

[0005] A first aspect of this application provides a method for constructing environmentally adaptive artificial source electromagnetic signals, which includes the following steps:

[0006] In the case of obtaining the category of the electromagnetic signal of the target artificial source to be constructed, and the category being a single-frequency square wave signal, a first parameter is obtained, wherein the first parameter includes the first inductance value, the first capacitance value, and the first resistance value of the signal transmitter DC power supply to ground, which are measured by an LCR parameter measuring instrument.

[0007] Based on the first inductance value, the first capacitance value, and the first resistance value, a first energy coefficient sequence within a preset frequency range is determined;

[0008] When transmitting a preset low-power single-frequency wave signal to the ground via a frequency sweep mode of a signal transmitter, the second energy coefficient sequence within the preset frequency range is determined by the fast Fourier transform method.

[0009] Calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; if the first root mean square error value is less than a first preset threshold, construct the target artificial source electromagnetic signal based on the second energy coefficient sequence;

[0010] In the case where the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated;

[0011] The third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the Fast Fourier Transform method;

[0012] A second root mean square error value is determined based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal.

[0013] The control method according to the embodiments of this application has at least the following beneficial effects:

[0014] This method obtains the first parameter by acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and in the case of a single-frequency square wave signal. The first parameter includes the first inductance, first capacitance, and first resistance values ​​of the signal transmitter's DC power supply to ground, measured by an LCR parameter measuring instrument. Based on the first inductance, first capacitance, and first resistance values, a first energy coefficient sequence within a preset frequency range is determined. When transmitting a preset low-power single-frequency wave signal to ground in a frequency sweep mode, a second energy coefficient sequence within the preset frequency range is determined using a fast Fourier transform method. The first energy coefficient sequence and the second energy coefficient sequence are then calculated. The first root mean square error value of the two energy coefficient sequences; if the first root mean square error value is less than a first preset threshold, a target artificial source electromagnetic signal is constructed based on the second energy coefficient sequence; if the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated; the third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the fast Fourier transform method; the second root mean square error values ​​of the second and third energy coefficient sequences are calculated; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal. This application automatically measures different frequencies under construction conditions. By integrating the normalized response curve, adaptively adjusting the transmission signal construction strategy, and optimizing the power supply circuit parameters of the transmission system, the problems of generator set "roaring" and "black smoke" in practical applications were solved, the failure rate of the transmission system was reduced, environmental adaptability was achieved, and the signal-to-noise ratio and detection effect of the receiving system in shallow and medium-depth areas were improved.

[0015] According to some embodiments of this application, constructing the target artificial source electromagnetic signal based on the second energy coefficient sequence includes:

[0016] Determine the second energy coefficient sequence The coefficient corresponding to the position is used as the inflection point coefficient;

[0017] Determine the inflection point output voltage corresponding to the inflection point coefficient;

[0018] Based on the inflection point coefficient and the inflection point output voltage, the actual transmission voltage value of each frequency within the preset frequency range is determined, and the actual transmission voltage value of each frequency is used as the transmission voltage curve of the target artificial source electromagnetic signal.

[0019] According to some embodiments of this application, determining the third energy coefficient sequence of the first multi-frequency pseudo-random signal using the Fast Fourier Transform method includes:

[0020] The first multi-frequency pseudo-random signal is subjected to spectral analysis by fast Fourier transform to obtain the analyzed first multi-frequency pseudo-random signal.

[0021] The first multi-frequency pseudo-random signal after analysis is normalized to obtain the third energy coefficient sequence.

[0022] According to some embodiments of this application, the actual transmit voltage value for each frequency within the preset frequency range is determined based on the inflection point coefficient and the inflection point output voltage using the following calculation formula:

[0023] ;

[0024] Among them, among them, For the first frequency within the preset frequency range The actual output voltage corresponding to a preset frequency. The output voltage at the inflection point. The inflection point coefficient, The second energy coefficient, For the second energy coefficient The frequency index position corresponding to the position. This is the frequency index position for the preset frequency range.

[0025] According to some embodiments of this application, the first multi-frequency pseudo-random signal is generated using the following formula:

[0026] ;

[0027] ;

[0028] in, This is the first multi-frequency pseudo-random signal. For preset amplitude, The first phase step determined according to the preset phase step size Each phase value The total number of frequencies within the preset frequency range. The first of the preset frequency range A preset frequency, The first of the preset frequency range The number of repetitions at a preset frequency. The first of the preset frequency range A second energy coefficient at a preset frequency.

[0029] According to some embodiments of this application, determining the first energy coefficient sequence within a preset frequency range based on the first inductance value, the first capacitance value, and the first resistance value includes:

[0030] Based on the first inductance value, the first capacitance value, and the first resistance value, the absolute value of the circuit frequency amplitude response within the preset frequency range is determined using the following formula:

[0031] ;

[0032] in, The value of the inductive reactance function. The frequency value is within the preset frequency range. This is the first inductance value. The value of the capacitive reactance function. This is the first capacitance value. The value is the impedance function value. This is the first resistance value. This represents the circuit's frequency amplitude response value. This represents the absolute value of the circuit's frequency amplitude response.

[0033] The frequency response normalization curve of the absolute value of the frequency amplitude response of the circuit is calculated to obtain the first energy coefficient sequence within the preset frequency range.

[0034] According to some embodiments of this application, in the case of transmitting a preset low-power single-frequency wave signal to ground via a frequency sweep mode of a signal transmitter, determining the second energy coefficient sequence within the preset frequency range using a fast Fourier transform method includes:

[0035] Within the preset frequency range, a preset low-power single-frequency wave signal is transmitted to the ground in a frequency sweep mode by a signal transmitter, and the transmission voltage is a preset constant voltage value during the preset power supply time period of each single-frequency wave. The current waveform time series of the transmission output circuit is collected by a current transformer.

[0036] The current waveform time series was subjected to spectral analysis using the Fast Fourier Transform method to obtain current spectrum data;

[0037] Calculate the normalized response curve of the current spectrum data to obtain the second energy coefficient sequence within the preset frequency range.

[0038] A second aspect of this application provides an environment-adaptive artificial source electromagnetic signal construction system, the environment-adaptive artificial source electromagnetic signal construction system comprising:

[0039] The data acquisition module is used to acquire a first parameter when acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and when the category is a single-frequency square wave signal. The first parameter includes the first inductance value, the first capacitance value, and the first resistance value of the signal transmitter DC power supply to ground, which are measured by an LCR parameter measuring instrument.

[0040] The first energy coefficient sequence determination module is used to determine a first energy coefficient sequence within a preset frequency range based on the first inductance value, the first capacitance value, and the first resistance value.

[0041] The second energy coefficient sequence determination module is used to determine the second energy coefficient sequence within the preset frequency range by means of a fast Fourier transform method when transmitting a preset low-power single-frequency wave signal to the ground through a signal transmitter frequency sweep mode.

[0042] The first construction module is used to calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; and to construct the target artificial source electromagnetic signal based on the second energy coefficient sequence when the first root mean square error value is less than a first preset threshold.

[0043] The first multi-frequency pseudo-random signal generation module is used to generate a first multi-frequency pseudo-random signal when the category is multi-frequency pseudo-random signal;

[0044] The third energy coefficient sequence determination module is used to determine the third energy coefficient sequence of the first multi-frequency pseudo-random signal by means of the fast Fourier transform method.

[0045] The second construction module is used to determine a second root mean square error value based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal.

[0046] This system obtains a first parameter by acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and if the category is a single-frequency square wave signal. The first parameter includes the first inductance, first capacitance, and first resistance values ​​of the signal transmitter's DC power supply to ground, measured by an LCR parameter measuring instrument. Based on the first inductance, first capacitance, and first resistance values, a first energy coefficient sequence within a preset frequency range is determined. When transmitting a preset low-power single-frequency wave signal to ground in a frequency sweep mode, a second energy coefficient sequence within the preset frequency range is determined using a fast Fourier transform method. The system then calculates the first energy coefficient sequence and the second... The first root mean square error value of the two energy coefficient sequences; if the first root mean square error value is less than a first preset threshold, a target artificial source electromagnetic signal is constructed based on the second energy coefficient sequence; if the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated; the third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the fast Fourier transform method; the second root mean square error values ​​of the second and third energy coefficient sequences are calculated; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal. This application automatically measures different frequencies under construction conditions. By integrating the normalized response curve, adaptively adjusting the transmission signal construction strategy, and optimizing the power supply circuit parameters of the transmission system, the problems of generator set "roaring" and "black smoke" in practical applications were solved, the failure rate of the transmission system was reduced, environmental adaptability was achieved, and the signal-to-noise ratio and detection effect of the receiving system in shallow and medium-depth areas were improved.

[0047] A third aspect of this application provides an environment-adaptive artificial source electromagnetic signal construction electronic device, including at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions executable by the at least one control processor, which are executed by the at least one control processor to enable the at least one control processor to perform the above-described environment-adaptive artificial source electromagnetic signal construction method.

[0048] In a fourth aspect, this application provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the above-described method for constructing environmentally adaptive artificial source electromagnetic signals.

[0049] It should be noted that the beneficial effects of the second to fourth aspects of this application with respect to the prior art are the same as the beneficial effects of the above-described environmental adaptive artificial source electromagnetic signal construction system with respect to the prior art, and will not be described in detail here.

[0050] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0051] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0052] Figure 1 This is a flowchart of the environmentally adaptive artificial source electromagnetic signal construction method provided in this application;

[0053] Figure 2 This is a schematic diagram of the "pole pit" grid layout of the environmental adaptive artificial source electromagnetic signal construction method provided in this application;

[0054] Figure 3 This is a schematic diagram comparing the theoretically calculated energy coefficient and the actual measured energy coefficient of a single-frequency wave for the environmentally adaptive artificial source electromagnetic signal construction method provided in this application;

[0055] Figure 4 This is a schematic diagram of the actual energy coefficient and inflection point of the environmentally adaptive artificial source electromagnetic signal construction method provided in this application;

[0056] Figure 5 This application provides a standard pseudo-random 7-frequency waveform and normalized spectrum diagram of the environmental adaptive artificial source electromagnetic signal construction method.

[0057] Figure 6 This is a schematic diagram comparing the theoretically calculated energy coefficient and the actual measured energy coefficient of the standard pseudo-random 7-frequency wave waveform of the environmental adaptive artificial source electromagnetic signal construction method provided in this application;

[0058] Figure 7 This application provides an adaptive reconstruction method for constructing electromagnetic signals from environmentally adaptive artificial sources, which yields pseudo-random signal waveforms and normalized spectrum diagrams of 7 frequencies.

[0059] Figure 8 This is a schematic diagram of the structure of an embodiment of the environmentally adaptive artificial source electromagnetic signal construction system provided in this application;

[0060] Figure 9 This is a schematic diagram of the structure of an embodiment of the electronic device provided in this application. Detailed Implementation

[0061] The embodiments of this application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0062] In the description of this application, the use of terms such as "first," "second," etc., is for the purpose of distinguishing technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the order of the technical features indicated.

[0063] In the description of this application, it should be understood that the orientation descriptions, such as up, down, etc., indicating the orientation or first positional relationship, are based on the orientation or first positional relationship shown in the drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0064] In the description of this application, it should be noted that, unless otherwise explicitly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0065] Artificial source electromagnetic methods (such as wide-area electromagnetic method (WFEM), controlled-source audio-frequency magnetotellurics (CSAMT), time-frequency electromagnetic method (TFEM), and spectral induced polarization (FIP)) are important techniques for geophysical exploration. Their basic principle involves a signal transmitter emitting high-power square wave signals of different frequencies to the ground, establishing an artificial source excitation signal field. A receiver on the ground uses a signal induction sensor to receive the electromagnetic response of this excitation signal after it has been conducted through the earth. The receiver then analyzes, processes, and interprets the signal to reveal differences in the physical properties of the probe area, and based on these differences, determines the structure and distribution of the subsurface medium.

[0066] Currently, research on artificial source electromagnetic signal transmission mainly focuses on how to construct signals with different frequency components and amplitudes, neglecting the adaptability of the constructed signals to actual hardware systems and construction environments. This leads to generator sets repeatedly switching between states of rapid power step changes for extended periods, resulting in phenomena such as "roaring" and "black smoke" emissions. The step spikes caused by the three parameters (inductance, capacitance, and resistance) can also break down power devices and damage the transmission system.

[0067] To address the aforementioned technical deficiencies, embodiments of this application provide a method and system for constructing environmentally adaptive artificial source electromagnetic signals.

[0068] Please see Figure 1 This is a flowchart illustrating an environmentally adaptive artificial source electromagnetic signal construction method provided in an embodiment of this application. This method is applied to electronic devices, such as servers. Figures 1 to 7 As shown, the method for constructing environmentally adaptive artificial source electromagnetic signals includes:

[0069] Step S101: After obtaining the category of the electromagnetic signal of the target artificial source to be constructed, and in the case that the category is a single-frequency square wave signal, obtain the first parameter, wherein the first parameter includes the first inductance value, the first capacitance value and the first resistance value of the signal transmitter to ground DC power supply obtained by the LCR parameter measuring instrument.

[0070] Step S102: Based on the first inductance value, the first capacitance value, and the first resistance value, determine the first energy coefficient sequence within a preset frequency range;

[0071] Step S103: When transmitting a preset low-power single-frequency wave signal to the ground through the frequency sweep mode of the signal transmitter, the second energy coefficient sequence within the preset frequency range is determined by the fast Fourier transform method.

[0072] Step S104: Calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; if the first root mean square error value is less than the first preset threshold, construct the target artificial source electromagnetic signal based on the second energy coefficient sequence.

[0073] Step S105: If the category is multi-frequency pseudo-random signal, generate the first multi-frequency pseudo-random signal;

[0074] Step S106: Determine the third energy coefficient sequence of the first multi-frequency pseudo-random signal using the Fast Fourier Transform method;

[0075] Step S107: Determine the second root mean square error value based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than the second preset threshold, use the first multi-frequency pseudo-random signal as the target artificial source electromagnetic signal.

[0076] In step S101, the first inductance, first capacitance, and first resistance values ​​of the signal transmitter to ground DC power supply obtained by the LCR parameter measuring instrument can be used to complete the layout of the A and B "pole pits" at both ends of the transmitter, pull up the power supply cable, and use a multimeter, etc. , and The parameter measuring instrument measures the initial parameters of the DC power supply to ground, denoted as... , , ,in, This is the first inductance value. This is the first capacitance value. This is the first resistance value.

[0077] Reference Figure 2 Specifically, to minimize grounding resistance, reduce loop inductive and capacitive reactance, and increase and balance the emission current, salt water needs to be poured into the A and B "pole pits," and a large area of ​​aluminum sheet should be wrapped with a paste-like mud and compacted to ensure tight grounding. The pole pits should be arranged in a grid pattern (e.g., Figure 2 As shown), the size is generally 1 meter (length), 1 meter (width), and 0.5 meters (depth), with a horizontal and vertical spacing of more than 2 meters. The number of pole pits should be determined according to the on-site construction conditions to minimize the grounding resistance (generally more than 10).

[0078] The aforementioned preset low-power single-frequency wave signal can be a value preset according to actual needs.

[0079] The above-mentioned multi-frequency pseudo-random signal can be Pseudo-random signal 7-frequency wave.

[0080] The above-mentioned preset frequency range can be a value that can be preset according to actual needs.

[0081] The aforementioned first preset threshold can be a value preset according to actual needs.

[0082] The aforementioned second preset threshold can be a value preset according to actual needs.

[0083] In step S104, the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence can be calculated by using the root mean square error loss function method to calculate the root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence as the first root mean square error value.

[0084] After step S106 above, the method may further include: if the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence is greater than or equal to the first preset threshold, then by increasing the number of "pole pits", improving the grounding conditions of "pole pits", overhead power supply cables, increasing the number of turns of power supply cables or reducing the bends of power supply cables, the first inductance value, the first capacitance value and the first resistance value of the power supply circuit are reduced, and this step is repeated until the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence is less than the first preset threshold.

[0085] In step S107, the determination of the second root mean square error value based on the second energy coefficient sequence and the third energy coefficient sequence can be achieved by subtracting each second energy coefficient in the second energy coefficient sequence from one to obtain the energy coefficient difference sequence; normalizing the energy coefficient difference sequence to obtain the normalized energy coefficient difference sequence; and calculating the root mean square error value between the third energy coefficient sequence and the normalized energy coefficient difference sequence using the root mean square error loss function method, which is used as the second root mean square error value.

[0086] This application obtains a first parameter by acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and in the case that the category is a single-frequency square wave signal. The first parameter includes the first inductance value, first capacitance value, and first resistance value of the signal transmitter's DC power supply to ground, measured by an LCR parameter measuring instrument. Based on the first inductance value, first capacitance value, and first resistance value, a first energy coefficient sequence within a preset frequency range is determined. When transmitting a preset low-power single-frequency wave signal to ground in a frequency sweep mode using the signal transmitter, a second energy coefficient sequence within the preset frequency range is determined using a fast Fourier transform method. The first energy coefficient sequence and the second energy coefficient sequence are then calculated. The first root mean square error value of the two energy coefficient sequences; if the first root mean square error value is less than a first preset threshold, a target artificial source electromagnetic signal is constructed based on the second energy coefficient sequence; if the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated; the third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the fast Fourier transform method; the second root mean square error values ​​of the second and third energy coefficient sequences are calculated; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal. This application automatically measures different frequencies under construction conditions. By integrating the normalized response curve, adaptively adjusting the transmission signal construction strategy, and optimizing the power supply circuit parameters of the transmission system, the problems of generator set "roaring" and "black smoke" in practical applications were solved, the failure rate of the transmission system was reduced, environmental adaptability was achieved, and the signal-to-noise ratio and detection effect of the receiving system in shallow and medium-depth areas were improved.

[0087] In some embodiments, the electromagnetic signal of the target artificial source is constructed based on the second energy coefficient sequence, including:

[0088] Determining the second energy coefficient sequence The coefficient corresponding to the position is used as the inflection point coefficient;

[0089] Determine the inflection point output voltage corresponding to the inflection point coefficient;

[0090] Based on the inflection point coefficient and the inflection point output voltage, the actual transmission voltage value of each frequency within the preset frequency range is determined, and the actual transmission voltage value of each frequency is used as the transmission voltage curve of the target artificial source electromagnetic signal.

[0091] This application improves the signal-to-noise ratio of the receiving system and the detection effect in shallow and medium-depth areas by determining the electromagnetic signal of the target artificial source based on the inflection point coefficient and the inflection point output voltage.

[0092] In some embodiments, determining the third energy coefficient sequence of the first multi-frequency pseudo-random signal using the Fast Fourier Transform method includes:

[0093] The first multi-frequency pseudo-random signal is obtained by performing spectral analysis on the first multi-frequency pseudo-random signal using Fast Fourier Transform.

[0094] The first multi-frequency pseudo-random signal after analysis is normalized to obtain the third energy coefficient sequence.

[0095] In some embodiments, the actual transmit voltage value for each frequency within a preset frequency range is determined based on the inflection point coefficient and the inflection point output voltage using the following calculation formula:

[0096] ;

[0097] Among them, among them, For the first frequency within the preset frequency range The actual output voltage corresponding to a preset frequency. The output voltage at the inflection point. The inflection point coefficient, The second energy coefficient, For the second energy coefficient The frequency index position corresponding to the position. This is the frequency index position for the preset frequency range.

[0098] In some embodiments, the first multi-frequency pseudo-random signal is generated using the following formula:

[0099] ;

[0100] ;

[0101] in, This is the first multi-frequency pseudo-random signal. For preset amplitude, The first phase step determined according to the preset phase step size Each phase value The total number of frequencies within the preset frequency range. The first of the preset frequency range A preset frequency, The first of the preset frequency range The number of repetitions at a preset frequency. The first of the preset frequency range A second energy coefficient at a preset frequency.

[0102] The above preset amplitude values ​​can be pre-set according to actual needs.

[0103] The aforementioned preset phase step size can be a value preset according to actual needs.

[0104] This application normalizes the first multi-frequency pseudo-random signal after analysis to obtain the third energy coefficient sequence, which provides data basis for the subsequent construction of the target artificial source electromagnetic signal and improves the accuracy of the construction of the target artificial source electromagnetic signal.

[0105] In some embodiments, determining a first energy coefficient sequence within a preset frequency range based on a first inductance value, a first capacitance value, and a first resistance value includes:

[0106] Based on the first inductance value, the first capacitance value, and the first resistance value, the absolute value of the circuit frequency amplitude response within the preset frequency range is determined using the following formula:

[0107] ;

[0108] in, The value of the inductive reactance function. The frequency value is within the preset frequency range. This is the first inductance value. The value of the capacitive reactance function. This is the first capacitance value. The value is the impedance function value. This is the first resistance value. This represents the circuit's frequency amplitude response value. This represents the absolute value of the circuit's frequency amplitude response.

[0109] The frequency response normalization curve of the circuit is calculated by calculating the absolute value of the frequency amplitude response, and the first energy coefficient sequence within the preset frequency range is obtained.

[0110] In some embodiments, when transmitting a preset low-power single-frequency wave signal to ground via a frequency sweep mode of a signal transmitter, determining a second energy coefficient sequence within a preset frequency range using a fast Fourier transform method includes:

[0111] Within a preset frequency range, a preset low-power single-frequency wave signal is transmitted to the ground in a frequency sweep mode by a signal transmitter, and the transmission voltage is a preset constant voltage value during the preset power supply time period of each single-frequency wave. The current waveform time series of the transmission output circuit is collected by a current transformer.

[0112] The current waveform time series was subjected to spectral analysis using the Fast Fourier Transform method to obtain current spectrum data;

[0113] The normalized response curve of the current spectrum data is calculated to obtain the second energy coefficient sequence within the preset frequency range.

[0114] This application obtains a second energy coefficient sequence within a preset frequency range by calculating the normalized response curve of the current spectrum data, providing data basis for the subsequent construction of the target artificial source electromagnetic signal and improving the accuracy of the artificial source electromagnetic signal.

[0115] Additionally, refer to Figure 8 One embodiment of this application provides an environment-adaptive artificial source electromagnetic signal construction system, including a data acquisition module 1100, a first energy coefficient sequence determination module 1200, a second energy coefficient sequence determination module 1300, a first construction module 1400, a first multi-frequency pseudo-random signal generation module 1500, a third energy coefficient sequence determination module 1600, and a second construction module 1700, wherein:

[0116] The data acquisition module 1100 is used to acquire the first parameter when acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and when the category is a single-frequency square wave signal. The first parameter includes the first inductance value, the first capacitance value, and the first resistance value of the signal transmitter DC power supply to ground, which are measured by the LCR parameter measuring instrument.

[0117] The first energy coefficient sequence determination module 1200 is used to determine a first energy coefficient sequence within a preset frequency range based on the first inductance value, the first capacitance value, and the first resistance value.

[0118] The second energy coefficient sequence determination module 1300 is used to determine the second energy coefficient sequence within a preset frequency range by means of a fast Fourier transform method when transmitting a preset low-power single-frequency wave signal to the ground through a signal transmitter frequency sweep mode.

[0119] The first construction module 1400 is used to calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; if the first root mean square error value is less than the first preset threshold, the target artificial source electromagnetic signal is constructed based on the second energy coefficient sequence.

[0120] The first multi-frequency pseudo-random signal generation module 1500 is used to generate a first multi-frequency pseudo-random signal when the category is multi-frequency pseudo-random signal;

[0121] The third energy coefficient sequence determination module 1600 is used to determine the third energy coefficient sequence of the first multi-frequency pseudo-random signal by means of the fast Fourier transform method.

[0122] The second construction module 1700 is used to determine the second root mean square error value based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than the second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal.

[0123] This system obtains a first parameter by acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and if the category is a single-frequency square wave signal. The first parameter includes the first inductance, first capacitance, and first resistance values ​​of the signal transmitter's DC power supply to ground, measured by an LCR parameter measuring instrument. Based on the first inductance, first capacitance, and first resistance values, a first energy coefficient sequence within a preset frequency range is determined. When transmitting a preset low-power single-frequency wave signal to ground in a frequency sweep mode, a second energy coefficient sequence within the preset frequency range is determined using a fast Fourier transform method. The system then calculates the first energy coefficient sequence and the second... The first root mean square error value of the two energy coefficient sequences; if the first root mean square error value is less than a first preset threshold, a target artificial source electromagnetic signal is constructed based on the second energy coefficient sequence; if the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated; the third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the fast Fourier transform method; the second root mean square error values ​​of the second and third energy coefficient sequences are calculated; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal. This application automatically measures different frequencies under construction conditions. By integrating the normalized response curve, adaptively adjusting the transmission signal construction strategy, and optimizing the power supply circuit parameters of the transmission system, the problems of generator set "roaring" and "black smoke" in practical applications were solved, the failure rate of the transmission system was reduced, environmental adaptability was achieved, and the signal-to-noise ratio and detection effect of the receiving system in shallow and medium-depth areas were improved.

[0124] It should be noted that the system embodiments described above are based on the same inventive concept as the method embodiments described above. Therefore, the relevant content of the method embodiments described above is also applicable to the system embodiments described above, and will not be repeated here.

[0125] Figure 9 A schematic diagram of the hardware structure for constructing an environment-adaptive artificial source electromagnetic signal is shown in an embodiment of this application.

[0126] An environment-adaptive artificial source electromagnetic signal construction device may include a processor 301 and a memory 302 storing computer program instructions.

[0127] Specifically, the processor 301 may include a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits that can be configured to implement the embodiments of this application.

[0128] Memory 302 may include mass storage for data or instructions. For example, and not limitingly, memory 302 may include a hard disk drive (HDD), floppy disk drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the integrated gateway disaster recovery device. In a particular embodiment, memory 302 is non-volatile solid-state memory.

[0129] In some embodiments, memory 302 may include read-only memory (ROM), random access memory (RAM), disk storage media device, optical storage media device, flash memory device, electrical, optical, or other physical / tangible memory storage device. Thus, generally, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to one aspect of this disclosure.

[0130] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any of the environmentally adaptive artificial source electromagnetic signal construction methods in the above embodiments.

[0131] In one example, the environment-adaptive artificial source electromagnetic signal construction device may further include a communication interface 303 and a bus 310. Wherein, as Figure 9 As shown, the processor 301, memory 302, and communication interface 303 are connected through bus 310 and complete communication with each other.

[0132] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application.

[0133] Bus 310 includes hardware, software, or both, that couples components of an environment-adaptive artificial source electromagnetic signal construction device together. For example, and not limitingly, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), HyperTransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Microchannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 310 may include one or more buses. Although specific buses are described and illustrated in embodiments of this application, any suitable bus or interconnect is contemplated herein.

[0134] This environment-adaptive artificial source electromagnetic signal construction device can execute the environment-adaptive artificial source electromagnetic signal construction method of this application embodiment based on a three-dimensional design model, thereby achieving a combination of Figure 1 and Figure 8 The method and system for constructing environmentally adaptive artificial source electromagnetic signals are described.

[0135] Furthermore, in conjunction with the environmental adaptive artificial source electromagnetic signal construction method in the above embodiments, this application embodiment can provide a computer storage medium for implementation. The computer storage medium stores computer program instructions; when these computer program instructions are executed by a processor, they implement any of the environmental adaptive artificial source electromagnetic signal construction methods in the above embodiments.

[0136] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0137] The functional blocks shown in the above block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0138] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0139] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0140] The above are merely specific embodiments of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for constructing environmentally adaptive artificial source electromagnetic signals, characterized in that, The environmentally adaptive artificial source electromagnetic signal construction method includes: In the case of obtaining the category of the electromagnetic signal of the target artificial source to be constructed, and the category being a single-frequency square wave signal, a first parameter is obtained, wherein the first parameter includes the first inductance value, the first capacitance value, and the first resistance value of the signal transmitter DC power supply to ground, which are measured by an LCR parameter measuring instrument. Based on the first inductance value, the first capacitance value, and the first resistance value, a first energy coefficient sequence within a preset frequency range is determined, specifically as follows: Based on the first inductance value, the first capacitance value, and the first resistance value, the absolute value of the circuit frequency amplitude response within the preset frequency range is determined using the following formula: ； in, The value of the inductive reactance function. For frequency values ​​within a preset frequency range, This is the first inductance value. The value of the capacitive reactance function. This is the first capacitance value. The value is the impedance function value. This is the first resistance value. This represents the circuit's frequency amplitude response value. The absolute value of the circuit's frequency amplitude response. The frequency index position for the preset frequency range; Calculate the frequency response normalization curve of the absolute value of the frequency amplitude response of the circuit to obtain the first energy coefficient sequence within the preset frequency range; When transmitting a preset low-power single-frequency wave signal to the ground via a frequency sweep mode of a signal transmitter, the second energy coefficient sequence within the preset frequency range is determined by the fast Fourier transform method. Calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; if the first root mean square error value is less than a first preset threshold, construct the target artificial source electromagnetic signal based on the second energy coefficient sequence; In the case where the category is a multi-frequency pseudo-random signal, a first multi-frequency pseudo-random signal is generated; The third energy coefficient sequence of the first multi-frequency pseudo-random signal is determined by the Fast Fourier Transform method; A second root mean square error value is determined based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal.

2. The method for constructing an environment-adaptive artificial source electromagnetic signal according to claim 1, characterized in that, The construction of the target artificial source electromagnetic signal based on the second energy coefficient sequence includes: Determine the second energy coefficient sequence The coefficient corresponding to the position is used as the inflection point coefficient; Determine the inflection point output voltage corresponding to the inflection point coefficient; Based on the inflection point coefficient and the inflection point output voltage, the actual transmission voltage value of each frequency within the preset frequency range is determined, and the actual transmission voltage value of each frequency is used as the transmission voltage curve of the target artificial source electromagnetic signal.

3. The method for constructing an environment-adaptive artificial source electromagnetic signal according to claim 2, characterized in that, The step of determining the third energy coefficient sequence of the first multi-frequency pseudo-random signal using the Fast Fourier Transform method includes: The first multi-frequency pseudo-random signal is subjected to spectral analysis by fast Fourier transform to obtain the analyzed first multi-frequency pseudo-random signal. The first multi-frequency pseudo-random signal after analysis is normalized to obtain the third energy coefficient sequence.

4. The method for constructing an environment-adaptive artificial source electromagnetic signal according to claim 3, characterized in that, Based on the inflection point coefficient and the inflection point output voltage, the actual transmission voltage value for each frequency within the preset frequency range is determined using the following formula: ； in, For the first frequency within the preset frequency range The actual output voltage corresponding to a preset frequency. The output voltage at the inflection point. The inflection point coefficient, The second energy coefficient, For the second energy coefficient The frequency index position corresponding to the position. This is the frequency index position for the preset frequency range.

5. The method for constructing an environment-adaptive artificial source electromagnetic signal according to claim 4, characterized in that, The first multi-frequency pseudo-random signal is generated using the following formula: ； ； in, This is the first multi-frequency pseudo-random signal. For preset amplitude, The first phase step determined according to the preset phase step size Each phase value The total number of frequencies within the preset frequency range. For the first preset frequency range A preset frequency, For the first preset frequency range The number of repetitions at a preset frequency. For the first preset frequency range A second energy coefficient at a preset frequency.

6. The method for constructing an environment-adaptive artificial source electromagnetic signal according to claim 5, characterized in that, The step of determining the second energy coefficient sequence within the preset frequency range by means of a fast Fourier transform method when transmitting a preset low-power single-frequency wave signal to the ground via a frequency sweep mode of a signal transmitter includes: Within the preset frequency range, a preset low-power single-frequency wave signal is transmitted to the ground in a frequency sweep mode by a signal transmitter, and the transmission voltage is a preset constant voltage value during the preset power supply time period of each single-frequency wave. The current waveform time series of the transmission output circuit is collected by a current transformer. The current waveform time series was subjected to spectral analysis using the Fast Fourier Transform method to obtain current spectrum data; Calculate the normalized response curve of the current spectrum data to obtain the second energy coefficient sequence within the preset frequency range.

7. An environment-adaptive artificial source electromagnetic signal construction system, characterized in that, The environment-adaptive artificial source electromagnetic signal construction system includes: The data acquisition module is used to acquire a first parameter when acquiring the category of the electromagnetic signal of the target artificial source to be constructed, and when the category is a single-frequency square wave signal. The first parameter includes the first inductance value, the first capacitance value, and the first resistance value of the signal transmitter DC power supply to ground, which are measured by an LCR parameter measuring instrument. The first energy coefficient sequence determination module is used to determine a first energy coefficient sequence within a preset frequency range based on the first inductance value, the first capacitance value, and the first resistance value, specifically: Based on the first inductance value, the first capacitance value, and the first resistance value, the absolute value of the circuit frequency amplitude response within the preset frequency range is determined using the following formula: ； in, The value of the inductive reactance function. For frequency values ​​within a preset frequency range, This is the first inductance value. The value of the capacitive reactance function. This is the first capacitance value. The value is the impedance function value. This is the first resistance value. This represents the circuit's frequency amplitude response value. The absolute value of the circuit's frequency amplitude response. The frequency index position for the preset frequency range; Calculate the frequency response normalization curve of the absolute value of the frequency amplitude response of the circuit to obtain the first energy coefficient sequence within the preset frequency range; The second energy coefficient sequence determination module is used to determine the second energy coefficient sequence within the preset frequency range by means of a fast Fourier transform method when transmitting a preset low-power single-frequency wave signal to the ground through a signal transmitter frequency sweep mode. The first construction module is used to calculate the first root mean square error value of the first energy coefficient sequence and the second energy coefficient sequence; and to construct the target artificial source electromagnetic signal based on the second energy coefficient sequence when the first root mean square error value is less than a first preset threshold. The first multi-frequency pseudo-random signal generation module is used to generate a first multi-frequency pseudo-random signal when the category is multi-frequency pseudo-random signal; The third energy coefficient sequence determination module is used to determine the third energy coefficient sequence of the first multi-frequency pseudo-random signal by means of the fast Fourier transform method. The second construction module is used to determine a second root mean square error value based on the second energy coefficient sequence and the third energy coefficient sequence; if the second root mean square error value is less than a second preset threshold, the first multi-frequency pseudo-random signal is used as the target artificial source electromagnetic signal.

8. An environment-adaptive artificial source electromagnetic signal construction device, characterized in that, It includes at least one control processor and a memory for communicatively connecting to the at least one control processor; the memory stores instructions executable by the at least one control processor, which, when executed by the at least one control processor, enable the at least one control processor to perform an environmentally adaptive artificial source electromagnetic signal construction method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions for causing a computer to perform an environmentally adaptive artificial source electromagnetic signal construction method as described in any one of claims 1 to 6.

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