A ground-air multi-frequency induced polarization method and device based on pseudo-random signals

Abstract

The present application discloses a ground-air multi-frequency induced polarization method and device based on pseudo-random signals. The method includes: controlling a power supply electrode to send multi-frequency pseudo-random signals, where the power supply electrode is pre-buried underground to a predetermined depth; receiving signals generated by the multi-frequency pseudo-random signals measured by a magnetic sensor carried by an aircraft; calculating apparent amplitude frequencies corresponding to different frequencies according to the signals; and determining the distribution of mineral resources according to the apparent amplitude frequencies. By means of the present application, the problem of limited application scenarios caused by the need to bury measurement sensors underground in the measurement of polarization rate in the prior art is solved, thereby improving the applicable range of polarization rate measurement, enhancing the convenience of construction, and achieving high construction efficiency.

Description

Technical Field

[0001] The present application relates to the field of measuring polarizability, and more particularly, to a ground-air multi-frequency induced polarization method and apparatus based on pseudo-random signals. Background Art

[0002] In the exploration of mineral resources, polarizability is an important indicator. Under the same excitation source, different underground media have different polarizabilities. The polarizability of metal ores is generally higher than that of the surrounding rocks. Therefore, polarizability can be used to indicate the presence of metal ores. Based on the spectrum of polarizability, it can also provide a basis for the analysis of the types of mineral resources. The pseudo-random multi-frequency induced polarization method is a method for exploring mineral resources. This method uses the apparent frequency parameter (Fs) to replace the polarizability to judge and analyze the induced polarization effect of underground substances. By arranging two electrodes M and N on the ground, the potential difference at a higher frequency and the potential difference at a lower frequency are measured simultaneously, and the apparent frequency parameter in the area between points M and N is obtained after calculation.

[0003] The traditional measurement method of the pseudo-random multi-frequency induced polarization method is to arrange electrodes on the ground in the survey area and measure the potential difference between the two electrodes. During construction, it is required that one end of the electrode be buried underground for a certain distance, and the grounding resistance should be lower than a certain value. Therefore, the construction is cumbersome; because the electrodes need to be grounded, it is impossible to construct in many areas with poor topographic and geomorphic conditions, such as cliffs, steep slopes, gobi, deserts, hardened roads, etc., and the application scenarios are limited. Summary of the Invention

[0004] The embodiments of the present application provide a ground-air multi-frequency induced polarization method and apparatus based on pseudo-random signals, so as to at least solve the problem of limited application scenarios caused by the need to bury the measurement sensor underground in the measurement of polarizability in the prior art.

[0005] According to one aspect of the present application, a ground-air multi-frequency induced polarization method based on pseudo-random signals is provided, including: controlling a power supply electrode to send a multi-frequency pseudo-random signal, where the power supply electrode is pre-buried underground to a predetermined depth; receiving a signal generated by the multi-frequency pseudo-random signal measured by a magnetic sensor carried by an aircraft; calculating the apparent frequency corresponding to different frequencies according to the signal; and determining the distribution of mineral resources according to the apparent frequency.

[0006] Further, the distribution includes: the distribution area and the type of mineral resources.

[0007] Further, calculating the apparent frequency corresponding to different frequencies according to the signal includes: generating an isoline map for each measurement point according to the apparent frequency measured at different measurement points; and determining an abnormal area according to the isoline map of each measurement point.

[0008] Further, determining the distribution of the mineral resources according to the apparent amplitude frequency includes: determining the distribution area of the resource minerals according to the abnormal area.

[0009] Further, determining the distribution of the mineral resources according to the apparent amplitude frequency includes: plotting the frequency spectrum curve of the measuring points; determining the frequency range of abnormal distribution according to the frequency spectrum curve; and determining the types of the mineral resources according to the frequency range of abnormal distribution.

[0010] According to another aspect of the present application, there is also provided a ground-air multi-frequency induced polarization device based on pseudo-random signals, including: a transmitting module for controlling a power supply electrode to transmit multi-frequency pseudo-random signals, wherein the power supply electrode is pre-buried at a predetermined depth underground; a receiving module for receiving signals generated by the multi-frequency pseudo-random signals measured by a magnetic sensor carried by an aircraft; a calculating module for calculating the apparent amplitude frequency corresponding to different frequencies according to the signals; and a determining module for determining the distribution of mineral resources according to the apparent amplitude frequency.

[0011] Further, the distribution includes: the distribution area and the types of the mineral resources.

[0012] Further, the calculating module is configured to: generate an isogram of each measuring point according to the apparent amplitude frequency measured at different measuring points; and determine the abnormal area according to the isogram of each measuring point.

[0013] Further, the determining module is configured to: determine the distribution area of the resource minerals according to the abnormal area.

[0014] Further, the determining module is configured to: plot the frequency spectrum curve of the measuring points; determine the frequency range of abnormal distribution according to the frequency spectrum curve; and determine the types of the mineral resources according to the frequency range of abnormal distribution.

[0015] In the embodiment of the present application, it is adopted to control a power supply electrode to transmit multi-frequency pseudo-random signals, wherein the power supply electrode is pre-buried at a predetermined depth underground; receive signals generated by the multi-frequency pseudo-random signals measured by a magnetic sensor carried by an aircraft; calculate the apparent amplitude frequency corresponding to different frequencies according to the signals; and determine the distribution of mineral resources according to the apparent amplitude frequency. By the present application, the problem of limited application scenarios caused by the need to bury measuring sensors underground in the measurement of polarization rate in the prior art is solved, thereby improving the applicable range of polarization rate measurement, enhancing the convenience of construction, and having high construction efficiency. Description of the Drawings

[0016] The accompanying drawings, which form a part of this application, are used to provide a further understanding of this application. The schematic embodiments and descriptions thereof of this application are used to explain this application and do not constitute an improper limitation of this application. In the accompanying drawings:

[0017] Figure 1 is a schematic diagram of an observation system according to an embodiment of this application.

[0018] Figure 2 is a schematic flow chart of obtaining the apparent frequency based on an aircraft according to an embodiment of this application. Detailed implementation manners

[0019] It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The following will detail this application with reference to the accompanying drawings and in combination with the embodiments.

[0020] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0021] In this embodiment, a ground-air multi-frequency induced polarization method based on pseudo-random signals is provided, and this method includes the following steps:

[0022] Step S102, controlling a power supply electrode to send a multi-frequency pseudo-random signal, wherein the power supply electrode is pre-buried in the ground to a predetermined depth;

[0023] Step S104, receiving the signal generated by the multi-frequency pseudo-random signal measured by a magnetic sensor carried by an aircraft;

[0024] Step S106, calculating the apparent frequency corresponding to different frequencies according to the signal;

[0025] Step S108, determining the distribution of mineral resources according to the apparent frequency.

[0026] In step S108, the distribution may include: the distribution area and the types of mineral resources. Among them, there are many ways to determine the distribution area and the types of mineral resources. In this embodiment, the following ways are provided.

[0027] For example, calculating the apparent frequency corresponding to different frequencies according to the signal includes: generating an isogram for each measuring point according to the apparent frequency measured at different measuring points; determining the abnormal area according to the isogram of each measuring point. Determining the distribution of the mineral resources according to the apparent frequency includes: determining the distribution area for obtaining the resource minerals according to the abnormal area.

[0028] For example, determining the distribution of the mineral resources according to the apparent frequency includes: plotting the frequency spectrum curve of the measuring point; determining the frequency range of the abnormal distribution according to the frequency spectrum curve; and determining the type of the mineral resources according to the frequency range of the abnormal distribution.

[0029] As an optional implementation manner, determining the type of the mineral resources according to the frequency range of the abnormal distribution can be performed by using machine learning. The machine learning model is trained with multiple groups of training data, where each group of the multiple groups of training data includes the frequency range of the abnormal distribution and the type of the mineral resources corresponding to this frequency range, and the type of the mineral resources is one or more. After the machine learning model training converges, the frequency range of the abnormal distribution is input into the machine learning model, and the corresponding type of the mineral resources can be obtained.

[0030] By the above steps, the problem of limited application scenarios caused by burying the measuring sensor underground in the prior art during the polarizability measurement is solved, thereby improving the applicable range of the polarizability measurement, enhancing the construction convenience, and having high construction efficiency.

[0031] The following is described in conjunction with an optional implementation manner. In this embodiment, a polarizability spectrum measurement method is proposed, which uses a pseudo-random signal field source, uses an aircraft to carry a magnetic sensor to measure the magnetic field, is simple in construction, and can be applied to multiple scenarios.

[0032] Figure 1 is a schematic diagram of an observation system according to an embodiment of the present application, as Figure 1 shown, the power supply electrodes A and B are buried underground, where the electrodes A and B form a rectangle lacking one side, the wire between the electrodes A and B constitutes three sides of the rectangle, the position of the measuring line is on the side lacking in the rectangle, the aircraft carries the magnetic sensor to perform measurement above the measuring line, and the measurement result obtained is sent to the processing system through the wireless communication system for processing.

[0033] Figure 2 is a schematic flow diagram of obtaining the apparent frequency based on the aircraft according to an embodiment of the present application, as Figure 2 shown, the method proposed in this embodiment includes the following steps:

[0034] (1) Arrange a horizontal current field source, arrange a current transmitter, bury the power supply electrodes A and B at an appropriate depth underground, and send multi-frequency pseudo-random signals;

[0035] (2) Arrange an observation system, including an aircraft, a magnetic sensor, a wireless communication system, and a processing system;

[0036] (3) Put the observation system in a normal working state, position the aircraft at the measuring point, enable the magnetic sensor to measure the magnetic field signal, and send it to the processing system through the wireless communication system;

[0037] (4) Obtain the signal from the processing system, calculate the apparent amplitude frequency of the measuring point at different frequency pairs, and then obtain the distribution information and types of mineral resources through preprocessing and other analysis techniques. Step (4) specifically includes:

[0038] After obtaining the potential data through the sensor, it can be calculated by the following formula:

[0039]

[0040] V L is the potential at a low frequency, V H is the potential at a high frequency, F s is the apparent amplitude frequency. By forming an isogram of the apparent amplitude frequencies of all measuring points, the abnormal area can be clearly displayed, and the distribution area of mineral resources can be further judged. In addition, by plotting the frequency spectrum curve of the measuring point and analyzing the frequency range of the abnormal distribution, it can help to judge the types of mineral resources.

[0041] In this embodiment: In terms of the field source, multiple frequencies are sent simultaneously, and the current error is synchronized. In terms of measurement, multiple frequencies are received simultaneously, and the influence of environmental noise on the signal is synchronized, and the relative measurement accuracy is very high. Measuring the magnetic field potential by carrying a magnetic sensor with an aircraft does not require grounding or cables, and the construction is convenient and fast, suitable for various application scenarios, such as metal mineral surveys, farmland heavy metal pollution surveys, unexploded ordnance detection, etc. In terms of data processing, the formula is simple, the calculation takes a short time, and the memory occupancy is small.

[0042] In this embodiment, an electronic device is provided, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to execute the method in the above embodiment.

[0043] The above program can run on a processor or can also be stored in a memory (or referred to as a computer-readable medium). The computer-readable medium includes permanent and non-permanent, removable and non-removable media, and information storage can be achieved by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media do not include transitory media such as modulated data signals and carrier waves.

[0044] These computer programs can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate computer-implemented processing. Thus, the instructions executed on the computer or other programmable device provide for implementing the steps for the functions specified in Figure 1 one process or multiple processes and / or Figure 1 one block or multiple blocks. The corresponding different steps can be implemented by different modules.

[0045] In this embodiment, such a device or system is provided. The device is called a ground-air multi-frequency induced polarization device based on pseudo-random signals, and includes: a transmitting module for controlling a power supply electrode to transmit a multi-frequency pseudo-random signal, where the power supply electrode is pre-buried in the ground to a predetermined depth; a receiving module for receiving a signal generated by the multi-frequency pseudo-random signal measured by a magnetic sensor carried by an aircraft; a calculating module for calculating the apparent amplitude frequency corresponding to different frequencies according to the signal; and a determining module for determining the distribution of mineral resources according to the apparent amplitude frequency.

[0046] The system or device is used to implement the functions of the method in the above embodiment. Each module in the system or device corresponds to each step in the method, and those that have been described in the method will not be elaborated here.

[0047] For example, the distribution includes: the distribution area and the types of mineral resources.

[0048] For another example, the calculation module is configured to: generate an isoline map for each measurement point according to the apparent frequency measured at different measurement points; determine an abnormal area based on the isoline map of each measurement point. Optionally, the determination module is configured to: determine the distribution area of the resource minerals according to the abnormal area.

[0049] For another example, the determination module is configured to: plot a frequency spectrum curve of the measurement point; determine the frequency range of the abnormal distribution according to the frequency spectrum curve; determine the type of the mineral resources according to the frequency range of the abnormal distribution.

[0050] Compared with the prior art, the technical solution proposed in the above embodiments uses a pseudo-random signal, has high efficiency, is measured by an aircraft carrying a magnetic sensor, is not grounded, does not use cables, is simple to construct, has high efficiency, has a wide application range, and has simple data processing.

[0051] The above are only the embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A ground-air multi-frequency induced polarization method based on pseudo-random signals, characterized in that, Comprising: Controlling a power supply electrode to send a multi-frequency pseudo-random signal, wherein the power supply electrode is pre-buried at a predetermined depth underground; Receiving a signal generated by the multi-frequency pseudo-random signal measured by a magnetic sensor carried by an aircraft; Calculating apparent amplitude frequencies corresponding to different frequencies according to the signal; wherein, generating an isogram for each measuring point based on the apparent amplitude frequencies measured at different measuring points; determining an abnormal area according to the isogram of each measuring point; wherein, after obtaining potential data through a sensor, the calculation is performed by the following formula: V L is a low-frequency potential, V H is a high-frequency potential, F s is the visual amplitude frequency. An isogram is formed by the visual amplitude frequencies of all measurement points; Determining the distribution of mineral resources according to the apparent amplitude frequencies; wherein, the distribution includes: the distribution area and the types of mineral resources; determining the distribution area for obtaining the mineral resources according to the abnormal area; wherein, plotting the frequency spectrum curve of the measuring point; determining the frequency range of the abnormal distribution according to the frequency spectrum curve; determining the types of the mineral resources according to the frequency range of the abnormal distribution.

2. A ground-air multi-frequency induced polarization device based on pseudo-random signals, characterized in that, Comprising: A sending module, configured to control a power supply electrode to send a multi-frequency pseudo-random signal, wherein the power supply electrode is pre-buried at a predetermined depth underground; A receiving module, configured to receive a signal generated by the multi-frequency pseudo-random signal measured by a magnetic sensor carried by an aircraft; A calculating module, configured to calculate apparent amplitude frequencies corresponding to different frequencies according to the signal; wherein, generating an isogram for each measuring point based on the apparent amplitude frequencies measured at different measuring points; determining an abnormal area according to the isogram of each measuring point; wherein, after obtaining potential data through a sensor, the calculation is performed by the following formula: V L is a low-frequency potential, V H is a high-frequency potential, F s is the apparent frequency. An isogram of the apparent frequencies of all measurement points is formed; A determining module, configured to determine the distribution of mineral resources according to the apparent amplitude frequencies; wherein, the distribution includes: The distribution area and the types of mineral resources; determining the distribution area for obtaining the mineral resources according to the abnormal area; wherein, plotting the frequency spectrum curve of the measuring point; determining the frequency range of the abnormal distribution according to the frequency spectrum curve; determining the types of the mineral resources according to the frequency range of the abnormal distribution.

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