High-density detection method and device based on natural electric field frequency selection method

Abstract

The invention relates to the technical field of geological exploration, in particular to a high-density detection method and device based on a natural electric field frequency selection method. According to the scheme, no power supply electrode exists, compared with a traditional natural electric field acquisition mode, a plurality of detection electrodes are directly arranged, one detection electrode is embedded in each detection point, the detection electrodes needing to acquire electric field signals are automatically switched through the detection host, people do not need to move the electrodes for acquisition, the labor intensity is greatly reduced, and the detection efficiency is improved. The observation speed is higher, and the construction efficiency is improved; the acquisition speed is higher, so that the influence of daily variation of a natural electromagnetic field can be effectively suppressed; according to the scheme, a plurality of detection points are arranged, and the profile test effect is achieved; and the function of detecting electric field components of different underground depths can be realized by changing the observation coefficient K, so that the accuracy of anomaly interpretation inversion is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of geological exploration, and particularly relates to a high-density detection method and device based on the natural electric field frequency selection method. Background Art

[0002] The natural electric field frequency selection sounding method is an important geophysical exploration method; due to uneven charge distribution on the earth's surface and inside, a natural electric field will be formed, such as redox reactions at the contact surface of electron conductors and solutions, seepage and filtration of groundwater, ion diffusion of mineralized solutions and adsorption of rock skeletons, etc. will all generate electric fields. Based on the resistivity and other physical property differences of underground rocks and ores, the variation laws of electric field components of multiple different frequencies generated by the geomagnetic field are measured on the ground, and according to the characteristics that electromagnetic waves of different frequencies have different skin depths in conductors, the purpose of changing the detection depth is achieved by changing the working frequency.

[0003] The frequency selection sounding method is a geometric sounding method, which detects the potential difference at the detection point through 2 exploration electrodes; by changing the distance between the 2 exploration electrodes, the potential differences at different depths are expressed, and then the geological characteristics underground at the detection point are analyzed; this detection method requires the detector to continuously adjust the distance between the exploration electrodes and collect the electric field intensity, and the operation is relatively cumbersome and laborious. Summary of the Invention

[0004] The main object of the present invention is to provide a high-density detection method and device based on the natural electric field frequency selection method, aiming to solve the problem that the existing natural electric field frequency selection method requires the detector to continuously adjust the distance between the exploration electrodes and collect the electric field intensity, and the operation is relatively cumbersome and laborious.

[0005] The technical solution proposed by the present invention is as follows:

[0006] A high-density detection method based on the natural electric field frequency selection method, which is applied to a high-density detection device based on the natural electric field frequency selection method; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of the detection electrodes is multiple; the method includes:

[0007] Manually determine the detection points in the area to be measured, wherein 1 detection electrode is embedded in each detection point;

[0008] The detection host generates an observation coefficient K and sets the observation coefficient K = 1;

[0009] The detection host sets i = 1;

[0010] The detection host obtains the horizontal electric field component E detected by the i-th detection electrode at a preset detection frequency i,K, and the horizontal electric field component E detected by the (i + K)-th detection electrode at the preset detection frequency i+K,K ;

[0011] The detection host determines whether i + K = P holds, where P is the total number of detection electrodes;

[0012] If so, the detection host determines the K-th potential sub-curve graph of the area to be measured based on the horizontal electric field components E i,K and E i+K,K Let K = K + 1, and determine whether K = P holds;

[0013] If it holds, the detection host stops detecting;

[0014] If it does not hold, the detection host sets i = 1;

[0015] If not, the detection host sets i = i + 1, and the detection host acquires the horizontal electric field component E detected by the i-th detection electrode at the preset detection frequency i,K , and the horizontal electric field component E detected by the (i + K)-th detection electrode at the preset detection frequency i+K,K ;

[0016] The detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs.

[0017] Preferably, all the detection points are on the same straight line, the distance between any two adjacent detection points is the same, and the distance between two adjacent detection points is a preset value.

[0018] Preferably, the detection host determines the K-th potential sub-curve graph of the area to be measured based on the horizontal electric field components E i,K and E i+K,K , including:

[0019] The detection host determines the exploration points in the K-th round, including:

[0020] The detection host sets j = 1;

[0021] The detection host takes the midpoint between the j-th detection point and the (j + K)-th detection point as the j-th exploration point in the K-th round;

[0022] The detection host determines whether j + K ≥ P holds;

[0023] If so, the detection host outputs all the exploration points in the K-th round;

[0024] If not, the detection host sets j = j + 1, and the detection host takes the midpoint between the j-th detection point and the (j + K)-th detection point as the j-th exploration point in the K-th round.

[0025] Preferably, after the detection host determines the exploration points in the K-th round, the following steps are further included:

[0026] The detection host marks the difference between the horizontal electric field component E i,K detected by the i-th detection electrode at a preset detection frequency and the horizontal electric field component E i+K,K detected by the (i + K)-th detection electrode at the preset detection frequency as the i-th electric field component difference in the K-th round;

[0027] The detection host generates the K-th potential sub-curve graph of the area to be measured. Among them, the abscissa of the K-th potential sub-curve graph of the area to be measured is the horizontal position of each exploration point in the K-th round, and the ordinate of the K-th potential sub-curve graph is the electric field component difference consistent with the serial number of the exploration points in the K-th round.

[0028] Preferably, the detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs, including:

[0029] The detection host synthesizes all the potential sub-curve graphs into the potential curve graph of the area to be measured. Among them, the abscissa of the potential curve graph of the area to be measured is the horizontal position of each exploration point, and the potential curve graph of the area to be measured includes the potential curves in each of the potential sub-curve graphs.

[0030] Preferably, after the detection host generates the observation coefficient K and sets the observation coefficient K = 1, the following steps are further included:

[0031] The detection host determines 2 corresponding detection electrodes in the K-th round and marks them as the target electrode group in the K-th round. Among them, the number of the target electrode groups in the K-th round is P - K. The first detection electrode in the h-th target electrode group in the K-th round is the h-th detection electrode, and the second detection electrode in the h-th target electrode group in the K-th round is the (h + 1)-th detection electrode, where 1 ≤ h ≤ P - K and h is an integer;

[0032] The detection host simultaneously obtains the horizontal electric field potential difference between the 2 detection electrodes in all the target electrode groups in the K-th round. Among them, ΔE h,K represents the horizontal electric field potential difference between the 2 detection electrodes in the h-th target electrode group in the K-th round;

[0033] The detection host determines the K-th potential sub-curve graph of the area to be measured based on the horizontal electric field potential differences between the 2 detection electrodes in all the target electrode groups in the K-th round;

[0034] The detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs.

[0035] Preferably, the detection host determines the K-th potential sub-curve graph of the area to be measured based on the horizontal electric field potential differences between two detection electrodes in all target electrode groups in the K-th round, including:

[0036] The detection host generates the K-th potential sub-curve graph of the area to be measured, where the abscissa of the K-th potential sub-curve graph is the horizontal position of the middle position point between two detection electrodes in each target electrode group in the K-th round, and the ordinate of the K-th potential sub-curve graph is the horizontal electric field potential difference between two detection electrodes in each target electrode group in the K-th round.

[0037] Preferably, the detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs, including:

[0038] The detection host synthesizes all the potential sub-curve graphs into the potential curve graph of the area to be measured, where the abscissa of the potential curve graph of the area to be measured is the horizontal position of the middle position point between two detection electrodes in each target electrode group, and the potential curve graph of the area to be measured includes the potential curves in each of the potential sub-curve graphs.

[0039] Preferably, the detection host further includes a display module; after the detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs, it further includes:

[0040] The detection host displays the potential curve graph of the area to be measured on the display module.

[0041] A high-density detection device based on the natural electric field frequency selection method applies the high-density detection method based on the natural electric field frequency selection method; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of the detection electrodes is multiple.

[0042] Through the above technical solutions, the following beneficial effects can be achieved:

[0043] The high-density detection method of the natural electric field frequency selection method proposed by the present invention can efficiently and conveniently collect the electric field intensity of the area to be measured for geological exploration. There is no power supply electrode in this solution. Compared with the traditional natural electric field collection method, this solution directly sets multiple detection electrodes, and embeds 1 detection electrode at each detection point. The detection host automatically switches the detection electrodes that need to collect electric field signals, eliminating the need for manual movement of the electrodes for collection, greatly reducing the labor intensity, increasing the observation speed, and improving the construction efficiency. Moreover, due to the faster collection speed, the influence of the daily variation of the natural electromagnetic field can be effectively suppressed. This solution sets multiple detection points, having the effect of profile testing. And by changing the observation coefficient K, the function of detecting the electric field components at different underground depths can be realized, thus improving the accuracy of anomaly interpretation and inversion. In addition, this solution can also effectively suppress the influence of the static effect of the natural electromagnetic method, and the inversion of the depth of the abnormal body will be more accurate and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0045] Figure 1 It is a flowchart of the first embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention;

[0046] Figure 2 It is a schematic diagram of detection electrodes during actual operation of the first embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] The present invention proposes a high-density detection method and device based on the natural electric field frequency selection method.

[0049] As shown in the Figure 1 and Figure 2 figures, in the first embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, this high-density detection method based on the natural electric field frequency selection method is applied to a high-density detection device based on the natural electric field frequency selection method; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of the detection electrodes is multiple; this embodiment includes the following steps:

[0050] Step S101: Manually determine the detection points in the area to be measured. Each detection point is embedded with one detection electrode.

[0051] Specifically, as shown in the appendix Figure 2 In this embodiment, there are 10 detection points, and each detection point is embedded with one detection electrode for detecting the electric field component. The distance between two adjacent detection electrodes is set as a (for example, 10 m).

[0052] Step S102: The detection host generates an observation coefficient K and sets K = 1.

[0053] Step S103: The detection host sets i = 1.

[0054] Step S104: The detection host acquires the horizontal electric field component E i,K detected by the i-th detection electrode at a preset detection frequency, and the horizontal electric field component E i+K,K detected by the (i + K)-th detection electrode at the preset detection frequency.

[0055] Step S105: The detection host determines whether i + K = P holds, where P is the total number of detection electrodes.

[0056] If so, execute Step S106: The detection host determines the K-th potential sub-curve graph of the area to be measured based on the horizontal electric field components E i,K and E i+K,K , sets K = K + 1, and determines whether K = P holds.

[0057] Step S107: If it holds, the detection host stops detection.

[0058] Step S108: If it does not hold, the detection host sets i = 1.

[0059] If not, execute Step S109: The detection host sets i = i + 1, and the detection host acquires the horizontal electric field component E i,K detected by the i-th detection electrode at the preset detection frequency, and the horizontal electric field component E i+K,K detected by the (i + K)-th detection electrode at the preset detection frequency.

[0060] Step S110: The detection host determines the potential curve graph of the area to be measured based on all the potential sub-curve graphs.

[0061] Specifically, in this embodiment, the natural electric field frequency selection method (TEFSM) is adopted for electric field acquisition and geological exploration. The natural electric field frequency selection method is a method that uses natural electromagnetic fields to study the underground electrical structure, and its basic theory follows the propagation theory of natural electromagnetic waves.

[0062] Specifically, the operation mode of this embodiment is to first set the observation coefficient K to 1, and the detection host obtains the electric field components collected by the first detection electrode and the second detection electrode each time (the corresponding exploration point is the middle position between the first detection electrode and the second detection electrode, that is, the attached Figure 2 The following circle position of the row with K=1 in the figure), the electric field components collected by the second detection electrode and the third detection electrode (the corresponding exploration point is the middle position between the second detection electrode and the third detection electrode), ..., the electric field components collected by the ninth detection electrode and the tenth detection electrode (the corresponding exploration point is the middle position between the ninth detection electrode and the tenth detection electrode); in this case, the detection host can detect the horizontal electric field component E based on the horizontal electric field component E. i,1 and E i+1,1 Determine the first (K=1) potential sub-curve diagram of the area to be measured. Since there is an approximately equal relationship between the electrode distance MN and the detection depth h, the potential sub-curve diagram obtained in this case can reflect the geological conditions of each exploration point when the underground depth is the distance (a) between two adjacent detection electrodes.

[0063] Similarly, we subsequently set the observation coefficient to 2, 3, .., 9; when K is 2, the detection host obtains the electric field components collected by the first detection electrode and the third detection electrode each time (that is, the number of detection electrodes separated is K, and the corresponding exploration point is the middle position between the first detection electrode and the third detection electrode, that is, the adjacent Figure 2 The circle positions in the subsequent row where K=2), the electric field components collected by the 2nd detection electrode and the 4th detection electrode (the corresponding exploration point is the middle position between the 2nd detection electrode and the 4th detection electrode), ..., the electric field components collected by the 8th detection electrode and the 10th detection electrode (the corresponding exploration point is the middle position between the 8th detection electrode and the 10th detection electrode); in this case, the potential sub-curve diagram obtained can reflect the geological conditions of each exploration point when the underground depth is 2a; and so on, by continuously increasing K (the maximum value of K is 9), the underground geological conditions of each exploration point at different depths can be obtained.

[0064] The high-density detection method of the natural electric field frequency selection method proposed by the present invention can efficiently and conveniently collect the electric field intensity of the area to be measured for geological exploration; there is no power supply electrode in this solution, and compared with the traditional natural electric field collection method, this solution directly sets multiple detection electrodes, and embeds 1 detection electrode at each detection point, and the detection host automatically switches the detection electrodes that need to collect electric field signals, without manual movement of the electrodes for collection, greatly reducing the labor intensity, with a faster observation speed and improved construction efficiency; and because the collection speed is faster, it can effectively suppress the influence of the daily variation of the natural electromagnetic field; this solution sets multiple detection points, with the effect of profile testing; and by changing the observation coefficient K, it can realize the function of detecting the electric field components at different underground depths, thereby improving the accuracy of anomaly interpretation and inversion; in addition, this solution can also effectively suppress the influence of the static effect of the natural electromagnetic method, and the inversion of the depth of the abnormal body will be more accurate and reliable.

[0065] In the second embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the first embodiment, all detection points are on the same straight line, the distance between any two adjacent detection points is the same, and the distance between two adjacent detection points is a preset value (for example, 10 m).

[0066] In the third embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the second embodiment, the detection host in step S106 is based on the horizontal electric field components E i,K and E i+K,K to determine the Kth potential sub-curve graph of the area to be measured, including the following steps:

[0067] Step S310: The detection host determines the exploration points in the Kth round, including the following steps:

[0068] Step S311: The detection host sets j = 1.

[0069] Step S312: The detection host takes the midpoint between the jth detection point and the (j + K)th detection point as the jth exploration point in the Kth round.

[0070] Step S313: The detection host determines whether j + K ≥ P holds.

[0071] If so, execute step S314: The detection host outputs all the exploration points in the Kth round.

[0072] If not, execute step S315: The detection host sets j = j + 1, and executes that the detection host takes the midpoint between the jth detection point and the (j + K)th detection point as the jth exploration point in the Kth round.

[0073] This embodiment discloses a technical solution for determining corresponding exploration points for different K values. When K=1, the exploration points are respectively: the middle position between the first detection point and the second detection point, the middle position between the second detection point and the third detection point, ..., the middle position between the ninth detection point and the tenth detection point; when K=2, the exploration points are respectively: the middle position between the first detection point and the third detection point, the middle position between the second detection point and the fourth detection point, ..., the middle position between the eighth detection point and the tenth detection point; when K=3, the exploration points are respectively: the middle position between the first detection point and the fourth detection point, the middle position between the second detection point and the fifth detection point, ..., the middle position between the seventh detection point and the tenth detection point.

[0074] By analogy, when K=9, there is only one exploration point, which is the middle position between the 1st detection point and the 10th detection point.

[0075] In a fourth embodiment of a high-density detection method based on a natural electric field frequency selection method proposed by the present invention, based on the third embodiment, step S310 further includes the following steps:

[0076] Step S410: The detection host detects the horizontal electric field component E obtained by the i-th detection electrode at a preset detection frequency. i,K and the horizontal electric field component E detected by the i+Kth detection electrode at the preset detection frequency i+K,K The difference is marked as the i-th electric field component difference of the K-th round.

[0077] Step S420: The detection host generates a Kth potential sub-curve graph of the area to be tested, wherein the abscissa of the Kth potential sub-curve graph of the area to be tested is the horizontal position of each exploration point in the Kth round, and the ordinate of the Kth potential sub-curve graph is the electric field component difference consistent with the sequence number of the Kth round exploration point.

[0078] Specifically, the difference in electric field components can reflect the underground geological conditions at the middle position between the two detection electrodes. When the electric field propagates underground, it encounters geological bodies with different resistivities, which will cause changes in the electric field components. For example, metal ore bodies usually have lower resistivities, while the surrounding rock resistivities are relatively high. In this case, when the electric field passes through the ore body, the current will flow more easily in the ore body, causing the electric field components around the ore body to change. By measuring the difference in electric field components, it is possible to infer the low-resistivity geological bodies that may exist underground, and then infer the possible metal mineralization areas. On the contrary, high-resistivity geological bodies (such as some granite bodies) will hinder the electric field, causing the electric field components to have a specific change pattern around them; therefore, the underground geological conditions of the exploration point can be reflected through the potential sub-curve.

[0079] In the fifth embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the fourth embodiment, step S110 includes the following steps:

[0080] Step S510: The detection host synthesizes all the potential sub-curves into a potential curve of the area to be measured. Wherein, the abscissa of the potential curve of the area to be measured is the horizontal position of each exploration point, and the potential curve of the area to be measured includes the potential curves in each of the potential sub-curves.

[0081] Specifically, the potential curve of the area to be measured here is to synthesize the potential sub-curves corresponding to different K values into an overall potential curve, so that it can not only reflect the profile of different exploration points on the side line, but also reflect the geological conditions of the exploration points at different depths.

[0082] In the sixth embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the first embodiment, after step S102, the following steps are further included:

[0083] Step S610: The detection host determines two corresponding detection electrodes in the Kth round and marks them as the target electrode group of the Kth round. Wherein, the number of the target electrode groups of the Kth round is P - K, the first detection electrode in the hth target electrode group of the Kth round is the hth detection electrode, and the second detection electrode in the hth target electrode group of the Kth round is the (h + 1)th detection electrode, 1 ≤ h ≤ P - K, and h is an integer.

[0084] Step S620: The detection host simultaneously obtains the horizontal electric field potential difference between the two detection electrodes in all the target electrode groups in the Kth round, where ΔE h,K represents the horizontal electric field potential difference between the two detection electrodes in the hth target electrode group of the Kth round.

[0085] Step S630: The detection host determines the Kth potential sub-curve of the area to be measured based on the horizontal electric field potential difference between the two detection electrodes in all the target electrode groups in the Kth round.

[0086] Step S640: The detection host determines the potential curve of the area to be measured based on all the potential sub-curves.

[0087] Specifically, in this embodiment, after determining the K value, directly collect the potential differences of all the target electrode groups on the measurement line at one time, and then generate the potential curve of the area to be measured based on the potential differences; compared with the scheme of the first embodiment, the detection speed is faster, and it can further suppress the influence of daily variation, but it has higher requirements for the data processing ability of the detection host.

[0088] In the seventh embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the sixth embodiment, step S630 includes the following steps:

[0089] Step S710: The detection host generates the Kth potential sub-curve graph of the area to be detected, where the abscissa of the Kth potential sub-curve graph is the horizontal position of the midpoint between two detection electrodes in each target electrode group in the Kth round, and the ordinate of the Kth potential sub-curve graph is the horizontal electric field potential difference between two detection electrodes in each target electrode group in the Kth round.

[0090] Specifically, the difference in the electric field components can reflect the underground geological conditions at the midpoint between two detection electrodes. Therefore, the underground geological conditions at the exploration points can be reflected through the potential sub-curve graph.

[0091] In the eighth embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the seventh embodiment, step S640 includes the following steps:

[0092] Step S810: The detection host synthesizes all the potential sub-curve graphs into a potential curve graph of the area to be detected, where the abscissa of the potential curve graph of the area to be detected is the horizontal position of the midpoint between two detection electrodes in each target electrode group, and the potential curve graph of the area to be detected includes the potential curves in each of the potential sub-curve graphs.

[0093] In the ninth embodiment of a high-density detection method based on the natural electric field frequency selection method proposed by the present invention, based on the first embodiment, the detection host further includes a display module; after the detection host determines the potential curve graph of the area to be detected based on all the potential sub-curve graphs, the following steps are further included:

[0094] Step S910: The detection host displays the potential curve graph of the area to be detected on the display module.

[0095] The present invention also proposes a high-density detection device based on the natural electric field frequency selection method, which applies the high-density detection method based on the natural electric field frequency selection method; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of the detection electrodes is multiple.

[0096] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0097] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative rather than restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit of the present invention and the scope protected by the claims. All of these fall within the protection scope of the present invention.

Claims

1. A high-density detection method based on natural electric field frequency selection method, characterized in that: Applied to high-density detection devices based on natural electric field frequency selection method; The device includes a detection host, and a detection electrode communicatively connected to the detection host; The number of the detection electrodes is multiple; the method comprises: Manually determine the detection points of the area to be tested, wherein each detection point is embedded with a detection electrode; The detection host generates an observation coefficient K, and sets the observation coefficient K=1; The detection host sets i=1; The detection host obtains the horizontal electric field component E detected by the i-th detection electrode at a preset detection frequency i,K , and the horizontal electric field component E detected by the i+Kth detection electrode at the preset detection frequency i+K,K ; The detection host determines whether i+K=P holds true, where P is the total number of detection electrodes; If so, the detection host is based on the horizontal electric field component E i,K and E i+K,K Determine the Kth potential sub-curve of the area to be tested, set K=K+1, and determine whether K=P holds; If so, the detection host stops detecting; If not, execute the detection host and set i=1; If not, the detection host sets i=i+1, and executes the detection host to obtain the horizontal electric field component E detected by the i-th detection electrode at the preset detection frequency. i,K , and the horizontal electric field component E detected by the i+Kth detection electrode at the preset detection frequency i+K,K ; The detection host determines the potential curve graph of the area to be detected based on all the potential sub-curve graphs.

2. A high-density detection method based on natural electric field frequency selection method according to claim 1, characterized in that: All detection points are on the same straight line, the distance between any two adjacent detection points is the same, and the distance between any two adjacent detection points is a preset value.

3. The high-density detection method based on natural electric field frequency selection method according to claim 2 is characterized in that: The detection host is based on the horizontal electric field component E i,K and E i+K,K Determine the Kth potential sub-curve graph of the area to be measured, including: The detection host determines the exploration point of the Kth round, including: The detection host sets j=1; The detection host uses the middle point between the jth detection point and the j+Kth detection point as the jth exploration point of the Kth round; The detection host determines whether j+K≥P holds; If so, the detection host outputs all exploration points in the Kth round; If not, the detection host sets j=j+1, and executes the detection host to use the middle position point between the jth detection point and the j+Kth detection point as the jth exploration point of the Kth round.

4. The high-density detection method based on natural electric field frequency selection method according to claim 3 is characterized in that: The detection host determines the exploration point of the Kth round, and then further includes: The detection host detects the horizontal electric field component E obtained by the i-th detection electrode at the preset detection frequency. i,K and the horizontal electric field component E detected by the i+Kth detection electrode at the preset detection frequency i+K,K The difference is marked as the difference of the i-th electric field component in the K-th round; The detection host generates a Kth potential sub-curve graph of the area to be measured, wherein the abscissa of the Kth potential sub-curve graph of the area to be measured is the horizontal position of each exploration point in the Kth round, and the ordinate of the Kth potential sub-curve graph is the electric field component difference consistent with the sequence number of the exploration point in the Kth round.

5. The high-density detection method based on natural electric field frequency selection method according to claim 4 is characterized in that: The detection host determines the potential curve of the area to be detected based on all the potential sub-curves, including: The detection host combines all the potential sub-curve graphs into a potential curve graph of the area to be measured, wherein the abscissa of the potential curve graph of the area to be measured is the horizontal position of each exploration point, and the potential curve graph of the area to be measured includes the potential curves in each of the potential sub-curve graphs.

6. The high-density detection method based on natural electric field frequency selection method according to claim 1 is characterized in that: The detection host generates an observation coefficient K, and sets the observation coefficient K=1, and then further includes: The detection host determines two detection electrodes corresponding to each other in the Kth round and marks them as the target electrode group of the Kth round, wherein the number of the target electrode groups of the Kth round is PK, the first detection electrode in the hth target electrode group in the Kth round is the hth detection electrode, and the second detection electrode in the hth target electrode group in the Kth round is the h+1th detection electrode, 1≤h≤PK, and h is an integer; The detection host simultaneously obtains the horizontal electric field potential difference between two detection electrodes in all target electrode groups in the Kth round, where ΔE h,K represents the horizontal electric field potential difference between the two detection electrodes in the hth target electrode group in the Kth round; The detection host determines the Kth potential sub-curve of the area to be detected based on the horizontal electric field potential difference between two detection electrodes in all target electrode groups in the Kth round; The detection host determines the potential curve graph of the area to be detected based on all the potential sub-curve graphs.

7. The high-density detection method based on natural electric field frequency selection method according to claim 6 is characterized in that: The detection host determines the Kth potential sub-curve of the area to be detected based on the horizontal electric field potential difference between two detection electrodes in all target electrode groups in the Kth round, including: The detection host generates the Kth potential sub-curve graph of the area to be tested, wherein the horizontal coordinate of the Kth potential sub-curve graph is the horizontal position of the middle position point between two detection electrodes in each target electrode group in the Kth round, and the vertical coordinate of the Kth potential sub-curve graph is the horizontal electric field potential difference between the two detection electrodes in each target electrode group in the Kth round.

8. The high-density detection method based on natural electric field frequency selection method according to claim 7 is characterized in that: The detection host determines the potential curve of the area to be detected based on all the potential sub-curves, including: The detection host combines all the potential sub-curve graphs into a potential curve graph of the area to be tested, wherein the horizontal coordinate of the potential curve graph of the area to be tested is the horizontal position of the middle point between two detection electrodes in each target electrode group, and the potential curve graph of the area to be tested includes the potential curves in each of the potential sub-curve graphs.

9. The high-density detection method based on natural electric field frequency selection method according to claim 1 is characterized in that: The detection host further includes a display module; the detection host determines a potential curve graph of the area to be detected based on all potential sub-curve graphs, and then further includes: The detection host displays the potential curve diagram of the area to be detected on the display module.

10. A high-density detection device based on natural electric field frequency selection method, characterized in that: A high-density detection method based on natural electric field frequency selection as described in any one of claims 1 to 9 is applied; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of the detection electrodes is multiple.

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