High-density detection method and device based on natural electric field frequency selection method
By embedding multiple probe electrodes in the area to be tested and using the probe host to automatically switch electrodes to collect electric field signals, the problem of cumbersome operation in the natural electric field frequency selection method is solved, and efficient geological exploration and accurate anomaly depth inversion are realized.
Patent Information
- Application Number
- CN202510272976.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-10
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2045-03-10
AI Technical Summary
Existing natural electric field frequency selection methods require researchers to constantly adjust and change the distance between exploration electrodes and collect electric field strength, which is cumbersome and laborious.
A high-density detection method based on the natural electric field frequency selection method is adopted. Multiple detection electrodes are embedded in the area to be measured, and the detection host automatically switches the electrodes to collect electric field signals, generating potential sub-curves and potential curves, reducing manual operation.
It enables efficient and convenient acquisition of electric field strength, reduces labor intensity, improves construction efficiency, suppresses the diurnal variation of natural electromagnetic fields, and improves the accuracy of anomaly interpretation and inversion.
Smart Images

Figure CN120122223B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of geological exploration, in particular to a high-density detection method and device based on natural electric field frequency selection method. BACKGROUND
[0002] The natural electric field frequency selection method is an important geophysical exploration method. The uneven distribution of electric charges on the earth's surface and inside will form a natural electric field. For example, the oxidation-reduction effect of the contact surface between an electronic conductor and a solution, the seepage and filtration effect of underground water, and the ion diffusion of mineralized solution and the adsorption effect of rock skeleton will all generate an electric field. Based on the resistivity and other physical differences of underground rocks and minerals, the variation of multiple different frequency electric field components generated by the ground electromagnetic field is measured on the ground, and the different frequencies of electromagnetic waves have different skin depths in the conductor. Therefore, the detection depth can be changed by changing the working frequency.
[0003] The frequency selection method is a geometric depth detection method, which detects the potential difference of the detection point through two exploration electrodes. By changing the distance between the two exploration electrodes, the potential difference of different depths is represented, and the geological characteristics of the detection point underground are analyzed. This detection method requires the detection personnel to constantly adjust and change the distance between the exploration electrodes and collect the electric field intensity, which is relatively cumbersome and laborious to operate. SUMMARY
[0004] The main purpose of the present application is to provide a high-density detection method and device based on natural electric field frequency selection method, which aims to solve the problem that the existing natural electric field frequency selection method requires the detection personnel to constantly adjust and change the distance between the exploration electrodes and collect the electric field intensity, which is relatively cumbersome and laborious to operate.
[0005] The technical solution of the present application is as follows:
[0006] A high-density detection method based on natural electric field frequency selection method is applied to a high-density detection device based on natural electric field frequency selection method. The device comprises a detection host and a detection electrode in communication with the detection host. The number of detection electrodes is multiple. The method comprises:
[0007] Artificially determining the detection points of the to-be-measured area, wherein each detection point is embedded with one detection electrode;
[0008] The detection host generates an observation coefficient K and sets the observation coefficient K to 1;
[0009] The detection host sets i to 1;
[0010] The detection host obtains the horizontal electric field component E i,Kand a horizontal electric field component E i+K,K ;
[0011] The detection host determines whether i+K=P is true, where P is the total number of detection electrodes;
[0012] If yes, the detection host determines a Kth potential subgraph of the region 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 is true;
[0013] If yes, the detection host stops the detection;
[0014] If no, the detection host sets i=1;
[0015] If no, the detection host sets i=i+1, and executes the detection host to acquire a horizontal electric field component E i,K acquired by the ith detection electrode at a preset detection frequency, and a horizontal electric field component E i+K,K acquired by the i+Kth detection electrode at the preset detection frequency;
[0016] The detection host determines a potential graph of the region to be measured based on all the potential subgraphs.
[0017] Preferably, all the detection points are on a same straight line, the distance between any two adjacent detection points is consistent, and the distance between the two adjacent detection points is a preset value.
[0018] Preferably, the detection host determines the Kth potential subgraph of the region to be measured based on the horizontal electric field components E i,K and E i+K,K , includes:
[0019] The detection host determines the Kth round of exploration points, includes:
[0020] The detection host sets j=1;
[0021] The detection host takes a middle position point between the jth detection point and the j+Kth detection point as the jth exploration point of the Kth round;
[0022] The detection host determines whether j+K≥P is true;
[0023] If yes, the detection host outputs all the exploration points of the Kth round;
[0024] If no, the detection host sets j=j+1, and executes the detection host to take a middle position point between the jth detection point and the j+Kth detection point as the jth exploration point of the Kth round.
[0025] Preferably, the detection host determines the exploration point of the Kth round, and then further comprises:
[0026] The detection host marks the difference value between the horizontal electric field component E i,K and the horizontal electric field component E i+K,K obtained by the i+Kth detection electrode at the preset detection frequency as the i th electric field component difference value of the Kth round;
[0027] The detection host generates the Kth potential subgraph of the to-be-detected region, wherein the horizontal coordinate of the Kth potential subgraph of the to-be-detected region is the horizontal position of each exploration point in the Kth round, and the vertical coordinate of the Kth potential subgraph is the electric field component difference value consistent with the serial number of the exploration point in the Kth round.
[0028] Preferably, the detection host determines the potential graph of the to-be-detected region based on all potential subgraphs, comprising:
[0029] The detection host synthesizes all potential subgraphs into the potential graph of the to-be-detected region, wherein the horizontal coordinate of the potential graph of the to-be-detected region is the horizontal position of each exploration point, and the potential graph of the to-be-detected region includes the potential curve in each potential subgraph.
[0030] Preferably, the detection host generates an observation coefficient K and sets the observation coefficient K=1, and then further comprises:
[0031] The detection host determines 2 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 group of the Kth round is P-K, the 1st detection electrode in the hth target electrode group in the Kth round is the hth detection electrode, the 2nd detection electrode in the hth target electrode group in the Kth round is the h+1th detection electrode, 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 target electrode groups in the Kth round, wherein ΔE h,K represents the horizontal electric field potential difference between the 2 detection electrodes in the hth target electrode group in the Kth round;
[0033] The detection host determines the Kth potential subgraph of the to-be-detected region based on the horizontal electric field potential difference between the 2 detection electrodes in all target electrode groups in the Kth round;
[0034] The detection host determines the potential graph of the to-be-detected region based on all potential subgraphs.
[0035] Preferably, the detection host determines the Kth potential curve of the region to be measured based on the horizontal electric field potential difference between two detection electrodes in all target electrode groups in the Kth round, including:
[0036] The detection host generates the Kth potential curve of the area to be tested, wherein the horizontal axis of the Kth potential curve is the horizontal position of the midpoint between the two detection electrodes in each target electrode group in the Kth round, and the vertical axis of the Kth potential curve is the horizontal electric field potential difference between the two detection electrodes in each target electrode group in the Kth round.
[0037] Preferably, the detection host determines the potential curve of the region to be measured based on all potential curves, including:
[0038] The detection host synthesizes all the potential sub-curves into a potential curve of the region to be measured. The horizontal axis of the potential curve of the region to be measured is the horizontal position of the midpoint between the two detection electrodes in each target electrode group. The potential curve of the region to be measured includes the potential curves in each of the potential sub-curves.
[0039] Preferably, the detection host further includes a display module; the detection host determines the potential curve of the area to be measured based on all potential curves, and then further includes:
[0040] The detection host displays the potential curve of the area to be tested on the display module.
[0041] A high-density detection device based on the natural electric field frequency selection method is disclosed. The device includes a detection host and detection electrodes communicatively connected to the detection host. The number of detection electrodes is multiple.
[0042] The above technical solution can achieve the following beneficial effects:
[0043] The high-density detection method of the natural electric field frequency selection method proposed in this invention can efficiently and conveniently collect the electric field intensity of the area to be measured for geological exploration. This scheme does not use power supply electrodes, and compared to traditional natural electric field acquisition methods, it directly sets up multiple detection electrodes, embedding one electrode at each detection point. The detection host automatically switches between the detection electrodes that need to collect electric field signals, eliminating the need for manual electrode movement, greatly reducing labor intensity, increasing observation speed, and improving construction efficiency. Furthermore, the faster acquisition speed effectively suppresses the influence of diurnal variations in the natural electromagnetic field. The multiple detection points in this scheme provide a profile testing effect. By changing the observation coefficient K, it can detect electric field components at different underground depths, thereby improving the accuracy of anomaly interpretation and inversion. In addition, this scheme can effectively suppress the influence of static effects in the natural electromagnetic method, resulting in more accurate and reliable inversion of anomaly depth. Attached Figure Description
[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.
[0045] Figure 1 This is a flowchart of the first embodiment of a high-density detection method based on the natural electric field frequency selection method proposed in this invention;
[0046] Figure 2 This is a schematic diagram of the detection electrode during actual operation of the first embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention. Detailed Implementation
[0047] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.
[0048] This invention proposes a high-density detection method and device based on the natural electric field frequency selection method.
[0049] As attached Figure 1 and attached Figure 2 As shown, in the first embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this 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 detection electrodes is multiple; this embodiment includes the following steps:
[0050] Step S101: Manually determine the detection points in the area to be tested, wherein each detection point is equipped with one detection electrode.
[0051] For details, see attached. Figure 2 As shown, there are 10 detection points in this embodiment, and each detection point is embedded with a detection electrode for detecting electric field components; and the distance between two adjacent detection electrodes is set to a (e.g., 10m);
[0052] Step S102: The detection host generates the observation coefficient K and sets the observation coefficient K = 1.
[0053] Step S103: The probe host is set to i = 1.
[0054] Step S104: The detection host acquires 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 detector electrode at the preset detection frequency. i+K,K .
[0055] Step S105: The detection host determines whether i+K=P is true, where P is the total number of detection electrodes.
[0056] If so, proceed to step S106: The detection host is based on the horizontal electric field component E i,K and E i+K,K Determine the Kth potential curve of the region to be tested, let K = K + 1, and determine whether K = P holds true.
[0057] Step S107: If true, the detection host stops detection.
[0058] Step S108: If not, execute the probe host command i=1.
[0059] If not, proceed to step S109: 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 a preset detection frequency. i,K And the horizontal electric field component E detected by the (i+K)th detector electrode at the preset detection frequency. i+K,K .
[0060] Step S110: The detection host determines the potential curve of the area to be measured based on all the potential curves.
[0061] Specifically, this embodiment uses the Natural Electric Field Selective Method (TEFSM) for electric field acquisition and geological exploration. The Natural Electric Field Selective Method is a method that uses natural electromagnetic fields to study underground electrical structures, and its basic theory follows the propagation theory of natural electromagnetic waves.
[0062] Specifically, in this embodiment, the operation method is as follows: first, the observation coefficient K is set to 1; then, the detection host acquires the electric field components collected by the first and second detection electrodes each time (the corresponding exploration point is the midpoint between the first and second detection electrodes, i.e., the attached...). Figure 2 The electric field components collected by the second and third detection electrodes (corresponding exploration points are the midpoint between the second and third detection electrodes), ..., the electric field components collected by the ninth and tenth detection electrodes (corresponding exploration points are the midpoint between the ninth and tenth detection electrodes); in this case, the detection host can base its detection on the horizontal electric field component E. i,1 and E i+1,1 The first (K=1) potentiometer curve of the area to be measured is determined. Since the electrode distance MN and the detection depth h are approximately equal, the potentiometer curve obtained under this condition can reflect the geological conditions of each exploration point at a depth equal to the distance (a) between two adjacent detection electrodes.
[0063] Similarly, we subsequently set the observation coefficients to 2, 3, ..., 9 in sequence; when K is 2, the detection host acquires the electric field components collected by the first and third detection electrodes each time (i.e., the number of detection electrodes separated by K, and the corresponding exploration point is the midpoint between the first and third detection electrodes, i.e., the adjacent...). Figure 2 The electric field components collected by the second and fourth probe electrodes (corresponding exploration points are the midpoint between the second and fourth probe electrodes), ..., the electric field components collected by the eighth and tenth probe electrodes (corresponding exploration points are the midpoint between the eighth and tenth probe electrodes); the resulting potentiometric curves can reflect the geological conditions of each exploration point at a depth of 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 in this invention can efficiently and conveniently collect the electric field intensity of the area to be measured for geological exploration. This scheme does not use power supply electrodes, and compared to traditional natural electric field acquisition methods, it directly sets up multiple detection electrodes, embedding one electrode at each detection point. The detection host automatically switches between the detection electrodes that need to collect electric field signals, eliminating the need for manual electrode movement, greatly reducing labor intensity, increasing observation speed, and improving construction efficiency. Furthermore, the faster acquisition speed effectively suppresses the influence of diurnal variations in the natural electromagnetic field. The multiple detection points in this scheme provide a profile testing effect. By changing the observation coefficient K, it can detect electric field components at different underground depths, thereby improving the accuracy of anomaly interpretation and inversion. In addition, this scheme can effectively suppress the influence of static effects in the natural electromagnetic method, resulting in more accurate and reliable inversion of anomaly depth.
[0065] In the second embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the first embodiment, all detection points are on the same straight line, the distance between any two adjacent detection points is consistent, and the distance between two adjacent detection points is a preset value (e.g., 10m).
[0066] In the third embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the second embodiment, the detection host in step S106 is based on the horizontal electric field component E. i,K and E i+K,K Determining the Kth potential wave plot of the region to be measured includes the following steps:
[0067] Step S310: The detection host determines the exploration point for the Kth round, including the following steps:
[0068] Step S311: The probe host is set to j=1.
[0069] Step S312: 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.
[0070] Step S313: The detection host determines whether j+K≥P is true.
[0071] If so, proceed to step S314: The detection host outputs all exploration points for the Kth round.
[0072] If not, proceed to step S315: the detection host sets j = j + 1, and executes the detection host to take 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.
[0073] This embodiment discloses a technical solution for determining the corresponding exploration points for different K values. When K=1, the exploration points are: the midpoint between the 1st and 2nd exploration points, the midpoint between the 2nd and 3rd exploration points, ..., the midpoint between the 9th and 10th exploration points; when K=2, the exploration points are: the midpoint between the 1st and 3rd exploration points, the midpoint between the 2nd and 4th exploration points, ..., the midpoint between the 8th and 10th exploration points; when K=3, the exploration points are: the midpoint between the 1st and 4th exploration points, the midpoint between the 2nd and 5th exploration points, ..., the midpoint between the 7th and 10th exploration points.
[0074] Similarly, when K=9, there is only one exploration point, which is the middle position between the first and tenth exploration points.
[0075] In the fourth embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the third embodiment, after step S310, the following steps are further included:
[0076] Step S410: The detection host will detect the horizontal electric field component E obtained by the i-th detection electrode at a preset detection frequency. i,K The horizontal electric field component E detected by the (i+K)th detector electrode at a preset detection frequency i+K,K The difference is denoted as the difference of the i-th electric field component in the K-th round.
[0077] Step S420: The detection host generates the Kth potential curve of the area to be measured, wherein the horizontal axis of the Kth potential curve of the area to be measured is the horizontal position of each exploration point in the Kth round, and the vertical axis of the Kth potential curve is the difference of electric field components that is consistent with the serial number of the exploration point in the Kth round.
[0078] Specifically, the difference in electric field components can reflect the underground geological conditions at the midpoint between two detection electrodes. When the electric field propagates underground, it encounters geological bodies with different resistivity, causing changes in the electric field components. For example, metallic ore bodies typically have low resistivity, while the surrounding rocks have relatively high resistivity. In this case, when the electric field passes through the ore body, the current flows more easily within it, causing changes in the electric field components around the ore body. By measuring the difference in electric field components, it is possible to infer the existence of low-resistivity geological bodies underground, and thus, the potential presence of metallic mineralization areas. Conversely, high-resistivity geological bodies (such as certain granite bodies) will impede the electric field, causing specific variation patterns in the electric field components around them; therefore, the underground geological conditions at the exploration point can be reflected through potentiometry curves.
[0079] In the fifth embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this 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 map of the area to be measured, wherein the horizontal axis of the potential curve map of the area to be measured is the horizontal position of each exploration point, and the potential curve map 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 tested here is a composite potential curve obtained by combining the potential sub-curves corresponding to different K values into a whole. This can reflect not only the profile of different exploration points on the sideline, but also the geological conditions of the exploration points at different depths.
[0082] In the sixth embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the first embodiment, after step S102, the following steps are further included:
[0083] Step S,610: The detection host determines two corresponding detection electrodes in the Kth round and marks them as the target electrode group of the Kth round. The number of target electrode groups in the Kth round is PK. The first detection electrode in the h-th target electrode group in the Kth round is the h-th detection electrode, and the second detection electrode in the h-th target electrode group in the Kth round is the (h+1)-th detection electrode. 1≤h≤PK, and h is an integer.
[0084] Step S620: The detection host simultaneously acquires the horizontal electric field potential difference between two detection electrodes in all target electrode groups in the Kth round, where ΔE h,K This represents the horizontal electric field potential difference between the two detection electrodes in the h-th target electrode group during the K-th round.
[0085] Step S630: The detection host determines the Kth potential curve of the region to be measured based on the horizontal electric field potential difference between two detection electrodes in all 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 curves.
[0087] Specifically, in this embodiment, after determining the K value, the potential difference values of all target electrode groups on the measuring line are directly collected at once, and then a potential curve of the area to be measured is generated based on the potential difference. Compared with the scheme of the first embodiment, the detection speed is faster and the influence of diurnal variation can be further suppressed, but it has higher requirements for the data processing capability of the detection host.
[0088] In the seventh embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the sixth embodiment, step S630 includes the following steps:
[0089] Step S710: The detection host generates the Kth potential curve of the area to be tested, wherein the horizontal axis of the Kth potential curve is the horizontal position of the midpoint between the two detection electrodes in each target electrode group in the Kth round, and the vertical axis of the Kth potential curve is the horizontal electric field potential difference between the two detection electrodes in each target electrode group in the Kth round.
[0090] Specifically, the difference in electric field components can reflect the underground geological conditions at the midpoint between the two detection electrodes, thus the underground geological conditions at the exploration point can be reflected through the potentiometer curve.
[0091] In the eighth embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the seventh embodiment, step S640 includes the following steps:
[0092] Step S810: The detection host synthesizes all the potential sub-curves into a potential curve of the region to be tested. The horizontal axis of the potential curve of the region to be tested is the horizontal position of the midpoint between the two detection electrodes in each target electrode group. The potential curve of the region to be tested includes the potential curves in each of the potential sub-curves.
[0093] In the ninth embodiment of the high-density detection method based on the natural electric field frequency selection method proposed in this invention, based on the first embodiment, the detection host further includes a display module; the detection host determines the potential curve of the region to be measured based on all potential curves, and then further includes the following steps:
[0094] Step S910: The detection host displays the potential curve of the area to be measured 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 a 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 detection electrodes is multiple.
[0096] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0097] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A high-density detection method based on the natural electric field frequency selection method, characterized in that, Applications in high-density detection devices based on the natural electric field frequency selection method; The device includes a detection host and detection electrodes that are communicatively connected to the detection host; The number of the detection electrodes is multiple; the method includes: The detection points in the area to be tested are determined manually, and each detection point is equipped with one detection electrode; The detection host generates an observation coefficient K and sets the observation coefficient K = 1; The detection host is set to i=1; The detection host acquires 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 detector electrode at the preset detection frequency. i+K,K ; The detection host determines whether i+K=P is 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 curve of the region to be tested, let K = K + 1, and determine whether K = P holds true; If true, the detection host will stop detecting; If not, execute the probe host command 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 a preset detection frequency. i,K And the horizontal electric field component E detected by the (i+K)th detector electrode at the preset detection frequency. i+K,K ; The detection host determines the potential curve of the area to be tested based on all the potential curves.
2. The high-density detection method based on the natural electric field frequency selection method according to claim 1, characterized in that, All detection points are on the same straight line, and the distance between any two adjacent detection points is the same, and the distance between two adjacent detection points is a preset value.
3. The high-density detection method based on the natural electric field frequency selection method according to claim 2, 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 curve of the region to be measured, including: The detection host determines the exploration point for the Kth round, including: The detection host is set to j=1; 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; The detection host determines whether j+K≥P is true; 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 operation of the detection host to take 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.
4. The high-density detection method based on the natural electric field frequency selection method according to claim 3, characterized in that, The detection host determines the exploration point for the Kth round, and then includes: The detection host will detect the horizontal electric field component E obtained by the i-th detection electrode at a preset detection frequency. i,K The horizontal electric field component E detected by the (i+K)th detector electrode at a preset detection frequency i+K,K The difference is denoted as the difference of the i-th electric field component in the K-th round; The detection host generates the Kth potential curve of the area to be measured, wherein the horizontal axis of the Kth potential curve of the area to be measured is the horizontal position of each exploration point in the Kth round, and the vertical axis of the Kth potential curve is the difference of electric field components that is consistent with the serial number of the exploration point in the Kth round.
5. The high-density detection method based on the natural electric field frequency selection method according to claim 4, characterized in that, The detection host determines the potential curve of the region to be measured based on all the potential sub-curves, including: The detection host synthesizes all the potential sub-curves into a potential curve map of the area to be measured. The horizontal axis of the potential curve map of the area to be measured represents the horizontal position of each exploration point. The potential curve map of the area to be measured includes the potential curves in each of the potential sub-curves.
6. The high-density detection method based on natural electric field frequency selection according to claim 1, characterized in that, The detection host generates an observation coefficient K and sets the observation coefficient K = 1, followed by: The detection host determines two corresponding detection electrodes in the Kth round and marks them as the target electrode group of the Kth round. The number of target electrode groups in the Kth round is PK. The first detection electrode in the h-th target electrode group in the Kth round is the h-th detection electrode, and the second detection electrode in the h-th target electrode group in the Kth round is the (h+1)-th detection electrode. 1≤h≤PK, and h is an integer. The detection host simultaneously acquires the horizontal electric field potential difference between two detection electrodes in all target electrode groups during the Kth round, where ΔE h,K This represents the horizontal electric field potential difference between two detection electrodes in the h-th target electrode group during the K-th round; The detection host determines the Kth potential curve of the region to be measured 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 of the area to be tested based on all the potential curves.
7. The high-density detection method based on the natural electric field frequency selection method according to claim 6, characterized in that, The detection host determines the Kth potential sub-curve of the region to be measured 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 curve of the area to be tested, wherein the horizontal axis of the Kth potential curve is the horizontal position of the midpoint between the two detection electrodes in each target electrode group in the Kth round, and the vertical axis of the Kth potential curve 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 the natural electric field frequency selection method according to claim 7, characterized in that, The detection host determines the potential curve of the region to be measured based on all the potential sub-curves, including: The detection host synthesizes all the potential sub-curves into a potential curve of the region to be measured. The horizontal axis of the potential curve of the region to be measured is the horizontal position of the midpoint between the two detection electrodes in each target electrode group. The potential curve of the region to be measured includes the potential curves in each of the potential sub-curves.
9. A high-density detection method based on natural electric field frequency selection according to claim 1, characterized in that, The detection host also includes a display module; the detection host determines the potential curve of the area to be measured based on all potential sub-curves, and then further includes: The detection host displays the potential curve of the area to be tested on the display module.
10. A high-density detection device based on the natural electric field frequency selection method, characterized in that, The high-density detection method based on the natural electric field frequency selection method as described in any one of claims 1-9 is applied; the device includes a detection host and detection electrodes communicatively connected to the detection host; the number of detection electrodes is multiple.
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