A rapid optimization method, system, and electronic device for multi-channel DC electrical method measurement arrays.

Abstract

This invention discloses a rapid optimization method, system, and electronic device for multi-channel DC resistivity tomography (DCS) measurement arrangements, relating to the field of engineering geophysical exploration technology. The method includes: acquiring electrode layout information and target measurement scale for the survey area; combining the electrode layout information according to preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set; establishing a multi-channel coarse screening scoring function based on sensitivity scoring, and performing coarse screening optimization on the candidate measurement arrangement set to obtain a candidate subset; establishing a multi-channel fine screening scoring function based on resolution gain, and performing fine screening optimization on the candidate subset until the number of finely screened measurement arrangements reaches the target measurement scale, obtaining a target measurement arrangement set; sorting and outputting the target measurement arrangement set to generate a measurement sequence; and importing the measurement sequence into a multi-channel DCS device for field data acquisition. This method balances optimization efficiency and information quality.

Description

Technical Field

[0001] This invention relates to the field of engineering geophysical exploration technology, specifically to a rapid optimization method, system, and electronic equipment for multi-channel DC electrical resistivity measurement arrays. Background Technology

[0002] Direct current resistivity tomography (DCS) is a commonly used geophysical method in engineering exploration. This method typically involves deploying multiple electrodes along the survey line. By selecting power supply electrodes and measuring electrodes to form a measurement array, the response information of the subsurface medium is acquired and further used for subsequent imaging analysis and geological interpretation. Different measurement arrays correspond to different current field distributions, sensitivity characteristics, and detection depth ranges. Therefore, the design of the measurement array directly affects the data acquisition efficiency and effectiveness, and consequently, the detection results.

[0003] Existing measurement arrangement optimization methods typically use a single measurement arrangement as the basic evaluation and selection unit, evaluating, ranking, and screening each candidate measurement arrangement separately. This method is well-suited for single-channel acquisition equipment. However, for multi-electrode, multi-channel DC current method acquisition equipment with high field acquisition efficiency, in practical applications, the design and optimization methods for measurement arrangements have not fully adapted to the comprehensive requirements of high efficiency and high information content under multi-channel acquisition conditions. This makes it difficult to fully leverage the parallel advantages of multi-channel acquisition equipment, resulting in problems such as insufficient utilization of channel resources and redundant measurement arrangements.

[0004] Therefore, how to propose a rapid optimization method and system for multi-channel DC resistivity data acquisition scenarios that can fully leverage the advantages of multi-channel parallel acquisition, balance optimization efficiency and information quality in large-scale candidate measurement arrangements, and form measurement sequences that can be used for field acquisition remains a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] To address the technical problems in existing technologies, such as the inability to fully leverage the parallel advantages of multi-channel acquisition devices and the inability to balance optimization efficiency and information quality in large-scale candidate measurement arrangements, the present invention aims to provide a rapid optimization method, system, and electronic device for multi-channel DC electrical method measurement arrangements. The specific technical solution adopted is as follows: In a first aspect, embodiments of the present invention provide a rapid optimization method for a multi-channel DC electrical resistivity measurement array, wherein the rapid optimization method includes: Acquire information on electrode layout in the survey area and the target measurement scale; The electrode layout information of the test area is combined according to the preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set; A multi-channel coarse screening scoring function is established based on sensitivity scoring, and the candidate measurement arrangement set is coarsely screened and optimized to obtain a candidate subset, wherein the candidate subset includes multiple candidate measurement arrangements extracted by coarse screening and all basic measurement arrangements in the basic measurement arrangement set; A multi-channel fine screening scoring function is established based on resolution gain, and the candidate subset is finely screened and optimized until the number of finely screened measurement arrangements reaches the target measurement scale, thus obtaining the target measurement arrangement set. The target measurement permutation set is sorted and output to generate a measurement sequence; The measurement sequence is imported into a multi-channel DC resistivity device to perform field data acquisition.

[0006] Optionally, the step of establishing a multi-channel coarse screening scoring function based on sensitivity scoring and performing coarse screening and optimization on the candidate measurement permutation set to obtain a candidate subset includes: A multi-channel coarse screening scoring function is established based on the sensitivity information of each candidate measurement arrangement to the target region in the candidate measurement arrangement set; The candidate measurement arrangement is scored according to the multi-channel coarse screening scoring function; The candidate measurement arrangements with higher scores are selected sequentially from the candidate measurement arrangement set and added to the current candidate subset; After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected candidate measurement arrangement is updated synchronously. Repeat the above steps until the current candidate subset reaches the candidate subset size preset in the coarse screening stage.

[0007] Optionally, the multi-channel coarse screening scoring function is the following formula (1): (1) In equation (1) above, i represents the candidate measurement arrangement, and F1i is the multi-channel coarse screening scoring function corresponding to the i-th candidate measurement arrangement. Here, m represents the coarse screening capacity constraint coefficient, m represents the total number of underground model mesh elements, and j represents the number of underground model elements. This represents the sensitivity of candidate measurement arrangement i to the j-th model unit. This represents the normalized sensitivity, used to characterize the ability of the candidate measurement arrangement to supplement areas where the current sensitivity is insufficient. This refers to the j-th term on the main diagonal of the underground model resolution matrix corresponding to the current candidate subset S. To represent the j-th element on the main diagonal of the resolution matrix of the underground model corresponding to the comprehensive reference set Ω, NS represents the number of measurement permutations in the current candidate subset S. This represents the sensitivity of the k-th measurement arrangement in the current candidate subset S to the j-th underground model unit. The comprehensive reference set Ω is the union of the set of basic measurement arrangements composed of multiple basic measurement arrangements and the set of candidate measurement arrangements. The coarse screen capacity constraint coefficient is given by the following formula (2): (2) In the above formula (2), This is a preset quantity for the coarse screening stage, and this preset quantity is greater than the number of parallel channels of the multi-channel DC resistivity acquisition device. For the current candidate subset S, the power supply electrode combination The number of channels already occupied, when the power supply electrode combination When the corresponding constraint coefficient is reduced to zero, the unselected candidate measurement arrangement corresponding to the power supply electrode combination will no longer participate in the selection, thus completing the coarse screening and optimization corresponding to the power supply electrode combination. The resolution matrix of the underground model is given by the following formula (3): (3) In equation (3) above, C is the constraint matrix of the underground model, which is usually a smooth constraint. This is the sensitivity matrix.

[0008] Optionally, the step of establishing a multi-channel fine-screening scoring function based on resolution gain and fine-screening and optimizing the candidate subset until the number of finely screened measurement arrangements reaches the target measurement scale, thereby obtaining the target measurement arrangement set, includes: The target measurement permutation set is initialized based on all the basic measurement permutations in the candidate subset; A multi-channel fine screening scoring function is established based on the contribution of each candidate measurement arrangement selected in the coarse screening to the resolution improvement of the underground model of the target measurement arrangement set. The candidate measurements extracted from the coarse screening are ranked and scored according to the multi-channel fine screening scoring function. From the multiple candidate measurement arrangements selected in the coarse screening, the candidate measurement arrangements with higher scores are successively added to the target measurement arrangement set; After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected candidate measurement arrangement is updated synchronously. Repeat the above steps until the target measurement scale is reached. The target measurement arrangement set that reaches the target measurement scale includes all basic measurement arrangements in the candidate subset and the selected candidate measurement arrangements.

[0009] Optionally, the multi-channel fine screening scoring function is the following formula (4): (4) In equation (4) above, i represents the candidate measurement arrangement, and F2 is the multi-channel fine screening scoring function. Here, m represents the capacity constraint coefficient for the fine screening, and m is the total number of grid cells in the underground model. The j-th item on the main diagonal of the resolution matrix corresponding to the target measurement permutation set; Add the j-th item of the main diagonal of the resolution matrix corresponding to the i-th candidate measurement arrangement to the target measurement arrangement set; The capacity constraint coefficient for the fine screening is given by the following formula (5): (5) In the above formula (5), M is the preset number of the fine screening stage, and the preset number is not greater than the number of parallel channels of the multi-channel DC power method acquisition device.

[0010] Optionally, obtaining the electrode layout information for the test area includes: Obtain the numbering information, spatial location information, and survey line layout information of each electrode in the survey area; The target measurement scale is used to characterize the number of measurement arrangements obtained after coarse and fine screening.

[0011] Optionally, the step of sorting and outputting the target measurement permutation set to generate a measurement sequence includes: The target measurements are grouped according to the power supply electrode combination; During the sorting and output process, target measurements under the same power supply electrode combination are prioritized and grouped together to reduce the number of power supply switching times and improve on-site data acquisition efficiency. By combining the requirements of the on-site data acquisition sequence, the influence of electrode polarization, and the constraints of field execution, a measurement sequence that can be recognized by a multi-channel DC electrical resistivity device is generated; wherein, the measurement sequence includes power supply electrode combination information, measurement electrode combination information, and execution sequence information.

[0012] Optionally, importing the measurement sequence into a multi-channel DC resistivity device for field data acquisition includes: The measurement sequence is written into the control file of the multi-channel DC power method device; Control the switching of power supply electrodes and the selection of measurement electrodes to complete multi-channel field data acquisition.

[0013] Secondly, embodiments of the present invention provide a rapid optimization system for multi-channel DC resistivity measurement arrangements, comprising: a data acquisition module for acquiring electrode layout information and target measurement scale in the measurement area; a candidate construction module for combining the electrode layout information in the measurement area according to preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set; a coarse selection module for establishing a multi-channel coarse selection scoring function based on sensitivity scoring and performing coarse selection on the candidate measurement arrangement set to obtain a candidate subset; a fine selection module for establishing a multi-channel fine selection scoring function based on resolution gain and performing fine selection on the candidate subset until the number of finely selected measurement arrangements reaches the target measurement scale to obtain a target measurement arrangement set; a sorting output module for sorting and outputting the target measurement arrangement set to generate a measurement sequence; and an acquisition execution module for importing the measurement sequence into a multi-channel DC resistivity device to perform field data acquisition.

[0014] Thirdly, embodiments of the present invention provide an electronic device, the electronic device comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus, and the processor calls logical instructions in the memory to execute the steps of the rapid optimization method for multi-channel DC electrical measurement arrangement described in the first aspect.

[0015] This invention provides a rapid optimization method and system for multi-channel DC resistivity measurement arrays. By constructing a scoring mechanism oriented towards multi-channel acquisition and employing a phased scoring and evaluation strategy of coarse screening, fine screening, and ranking output, rapid optimization of measurement arrays is achieved. Through this phased scoring and evaluation process, the information contribution capability of the measurement arrays is improved while ensuring the controllability of the target measurement scale. Furthermore, the optimization results can be directly converted into field-executable measurement sequences. This not only balances optimization efficiency and information quality in large-scale candidate measurement arrays, reducing the computational overhead of directly performing fine screening on the entire candidate space, but also generates low-redundancy, high-information measurement sequences suitable for field acquisition, improving the engineering feasibility of multi-channel DC resistivity data acquisition. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope of protection. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0017] Figure 1This is a flowchart of a rapid optimization method for a multi-channel DC electrical measurement array, provided as an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of a geoelectric model provided in one embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of various measurement arrangements provided in one embodiment of the present invention.

[0020] Figure 4 This is a schematic diagram of the candidate measurement arrangement provided in one embodiment of the present invention.

[0021] Figure 5 This invention provides a comparison chart of inversion results with different measurement arrangements.

[0022] Figure 6 This is a schematic diagram of a rapid optimization system for multi-channel DC electrical method measurement arrays provided by the present invention. Detailed Implementation

[0023] The technical solution of the present invention will be clearly and completely described below with reference to specific embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0024] The main reason why existing technologies have technical problems such as difficulty in fully utilizing the parallel acquisition advantages of multi-channel DC resistivity equipment, inability to balance optimization efficiency and information quality in large-scale candidate measurement arrangements, and inability to form measurement sequences that can be used for field acquisition is as follows: On the one hand, existing measurement arrangement optimization methods typically use a single measurement arrangement as the basic evaluation and selection unit, evaluating, ranking, and filtering each candidate measurement arrangement separately. This type of method is suitable for single-channel acquisition scenarios, but it is difficult to fully utilize the parallel advantages of multi-channel acquisition devices, leading to problems such as insufficient utilization of channel resources and redundant measurement arrangements in multi-channel acquisition.

[0025] On the other hand, as the number of electrodes increases, the number of candidate measurement arrangements grows rapidly. If a costly and detailed evaluation and selection is carried out directly in the entire candidate space, it will usually result in a large computational burden, making it difficult to meet the requirements for selection efficiency in engineering applications. On the other hand, if only a coarse screening method is used, although the amount of computation can be reduced, it is easy to retain a lot of redundant measurement arrangements, resulting in insufficient information quality of the selection results, making it difficult to balance computational efficiency and measurement effect.

[0026] The following description, in conjunction with the accompanying drawings, details a specific scheme for a rapid optimization method for multi-channel DC electrical measurement arrays provided by the present invention.

[0027] Please see Figure 1 The diagram illustrates a flowchart of a rapid optimization method for a multi-channel DC electrical measurement array according to an embodiment of the present invention, comprising: S101, acquire information on electrode layout in the test area and target measurement scale.

[0028] Specifically, in this embodiment, a two-dimensional numerical geoelectric model is used to verify the method of the present invention. The geoelectric model is as follows: Figure 2 As shown, the model is 120 m long and 40 m deep, consisting of two parts: an overburden layer with a thickness of 20 m and a resistivity of 200 Ωm, and a bedrock resistivity of 2000 Ωm. Four low-resistivity anomalies are included in the model, each with a resistivity of 20 Ωm, to simulate aquifer structures.

[0029] The electrode layout uses a single measurement line, with 60 electrodes evenly distributed along the line, and an electrode spacing of 2 m. The target measurement scale is set to 4560 measurement arrays. In addition to the above information, it is also necessary to obtain the number of parallel channels of the multi-channel DC resistivity acquisition device, and more specifically, the number of channels that the multi-channel DC resistivity acquisition device can acquire in parallel under the same power supply conditions; this is used to provide data support for the subsequent primary and secondary screening stages. In this embodiment, the number of parallel channels of the device is set to 8.

[0030] The acquisition of the above parameters provides data support for the scoring calculation and channel capacity constraints in the subsequent coarse and fine screening stages, and ensures the controllability of the optimal results in terms of quantity and engineering feasibility.

[0031] S102, the electrode layout information of the test area is combined according to the preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set.

[0032] Specifically, in this embodiment, for all the basic measurement arrangements in the basic measurement arrangement set Ω0, the following can be used: Figure 3 The arrangement can be obtained from any of the various measurement arrangement diagrams shown. It should be noted that the arrangement rules include, but are not limited to, the Winner arrangement, the Schlumberger arrangement, and the dipole-dipole arrangement. Taking the Winner arrangement, a traditional measurement arrangement, as an example, in... Figure 3 In the corresponding Wenner arrangement, A and B are the power supply electrodes, and M and N are the measurement electrodes. The electrode layout information for the measurement area is arranged according to the Wenner arrangement type rules to obtain the basic measurement arrangement. Based on the electrode layout information, a candidate measurement arrangement set Ω is generated according to the candidate measurement arrangement generation rules. C A schematic diagram of the candidate measurement arrangement is shown below. Figure 4 As shown, the candidate measurement permutations specifically include α permutations and β permutations, where the α permutation is in the form of AM-NB and the β permutation is in the form of AB-MN. The basic measurement permutation set Ω0 and the candidate measurement permutation set Ω C The union of these sets is the comprehensive reference set Ω.

[0033] As explained above, the basic measurement permutation set Ω0 and the candidate measurement permutation set Ω C Different preset permutation rules are used for generation. The basic permutation uses traditional rules such as Wenner's to ensure the final measurement sequence has basic detection capabilities and engineering reliability. Candidate permutations use diverse rules such as α and β to expand the information space and improve the upper limit of the resolution of the optimized results. These two methods complement each other, balancing robustness and information richness in the selection process and reducing the risk of unusable results due to over-selection. The different generation rules for the two methods—using the basic measurement permutation set as a safety net and the candidate measurement permutation set for quality improvement—complement each other while ensuring both robustness and information content.

[0034] S103, establish a multi-channel coarse screening scoring function based on sensitivity scoring, and perform coarse screening and optimization on the candidate measurement arrangement set to obtain a candidate subset.

[0035] Specifically, a multi-channel coarse screening scoring function F1 is established based on the sensitivity information of each candidate measurement arrangement to the target region in the candidate measurement arrangement, and the candidate measurement arrangement set Ω is evaluated according to the multi-channel coarse screening scoring function F1. C Each candidate measurement in the process is scored. The calculation formula for the multi-channel coarse screening scoring function F1 adopts formula (1) in the aforementioned invention. Formulas (2)-(3) are the calculation formulas for the coarse screening capacity constraint coefficient and the underground model resolution matrix corresponding to the multi-channel coarse screening scoring function F1 in the coarse screening step.

[0036] In this embodiment, the candidate subset size is set to 20,000 measurement permutations. The current candidate subset S includes the basic measurement permutation set Ω0 and the candidate measurement permutations selected during the coarse screening process. From the candidate measurement permutation set Ω0... C The process involves successively selecting candidate measurement arrangements with higher scores and adding them to the current candidate subset S. After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected measurement arrangement is updated synchronously. This process is repeated until the preset candidate subset size is reached.

[0037] The benefits of coarse screening are as follows: by establishing a coarse screening scoring function based on sensitivity, it is possible to select a subset of candidates with high information contribution from the massive candidate measurement arrangement set. Combined with channel occupancy constraints, it avoids excessive occupation of channel resources by the same power supply combination. While significantly reducing the computational load of subsequent fine screening, it retains candidate arrangements with high information quality, and achieves an initial balance between optimization efficiency and information quality.

[0038] S104, establish a multi-channel fine screening scoring function based on resolution gain, and perform fine screening and optimization on the candidate subset until the number of finely screened measurement arrangements reaches the target measurement scale, thereby obtaining the target measurement arrangement set.

[0039] Specifically, during the fine screening process after coarse screening, the target measurement permutation set is first determined and initialized. One possible implementation is to use the basic measurement permutation set Ω0 as the initial set of the target measurement permutation set T, and then define the measurement permutations in the candidate subset S other than the basic measurement permutation set Ω0 as the candidate measurement permutation subset Sc. This approach ensures that the basic measurement permutations are directly retained in the final result, while subsequent fine screening only further optimizes the candidate parts retained from the coarse screening.

[0040] Subsequently, a multi-channel fine screening scoring function was established based on the resolution gain, and the subset of the proposed measurement arrangements Sc was finely screened and optimized to obtain the target measurement arrangement set.

[0041] Specifically, a multi-channel fine screening scoring function F2 is established based on the contribution of each candidate measurement arrangement in the candidate measurement arrangement subset Sc to the resolution improvement of the underground model relative to the current target measurement arrangement set T, and each candidate measurement arrangement in the candidate measurement arrangement subset Sc is scored according to the multi-channel fine screening scoring function F2. The calculation formula of the multi-channel fine screening scoring function F2 adopts the formula (4) given in the aforementioned invention content. The aforementioned formula (5) is the calculation formula of the fine screening capacity constraint coefficient corresponding to the multi-channel fine screening scoring function F2 of the fine screening step.

[0042] In this embodiment, the candidate measurement arrangement with the higher score is selected from the candidate measurement arrangement subset Sc and added to the current target measurement arrangement set T. After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected measurement arrangement is updated synchronously. The above process is repeated until the target measurement scale is reached, and the target measurement arrangement set T is obtained.

[0043] The benefits of fine screening are as follows: Building upon the coarse screening which reduces the candidate space, it uses resolution gain scoring to successively select the measurement sequence that contributes most to improving the imaging quality of the subsurface model. Combined with channel occupancy constraints, it ensures the real-time schedulability of multi-channel acquisition resources until the target measurement scale is reached. This achieves the acquisition of the measurement sequence with the highest information content under limited acquisition costs, significantly improving the resolution of the final inversion image and the ability to identify geological anomalies. The entire fine screening process is resolution gain-oriented, selecting the best sequence under channel constraints to ensure maximum information content within a limited measurement scale, thereby improving the final imaging quality and anomaly identification capabilities.

[0044] S105, sort and output the target measurement arrangement set to generate a measurement sequence.

[0045] Specifically, in this embodiment, the target measurement arrangement set T is grouped according to the power supply electrode combination, and the measurement arrangements under the same power supply electrode combination are prioritized for centralized arrangement to reduce the number of power supply switching and improve the efficiency of on-site data acquisition.

[0046] Meanwhile, the effect of electrode polarization is considered during the sorting and output process. Specifically, once an electrode is used as a power supply electrode in the current measurement, it will not be used as a measurement electrode in the subsequent two sets of measurements, in order to reduce the impact of electrode polarization on subsequent potential difference measurements.

[0047] The beneficial effects of sorting the output are as follows: by grouping and centrally arranging the target measurements according to the power supply electrodes, the measurements within the same group are executed continuously, reducing the number of power supply switching times and improving the efficiency of on-site acquisition; at the same time, by combining the influence of electrode polarization to optimize the measurement sequence, the interference of polarization effect on potential difference measurement is reduced, and finally a measurement sequence that can be directly identified by multi-channel DC electrical method equipment is generated, realizing the seamless conversion from the optimized results to the on-site executable acquisition scheme.

[0048] It can be explained that the present invention improves the information contribution capability of measurement arrangement by using a phased scoring and evaluation process of coarse screening, fine screening and sorting output, while ensuring that the target measurement scale is controllable, and enables the optimization results to be directly converted into a measurement sequence that can be executed on site.

[0049] S106, The measurement sequence is imported into a multi-channel DC power method device to perform field data acquisition.

[0050] Specifically, in this embodiment, the measurement sequence obtained by sorting and outputting in step S105 is written into the control file of the multi-channel DC power method device, and the switching of power supply electrodes and the selection of measurement electrodes are controlled to complete the multi-channel field data acquisition according to the execution order corresponding to the target measurement arrangement set T.

[0051] The measurement sequence itself is the final result of a step-by-step optimization and arrangement through three stages: coarse screening, fine screening, and sorting output. Coarse screening quickly compresses the candidate space, fine screening selects the best to improve imaging quality, and sorting output groups by power supply electrode and considers polarization effects to optimize the execution order. By directly writing this sequence into the device control file, the switching of power supply electrodes and the selection of measurement electrodes can be automatically controlled without manual arrangement and setting, avoiding human error and achieving automated and efficient execution of field data acquisition.

[0052] Thus, according to the above embodiments, the beneficial effects of the present invention include: 1. This invention addresses the problem that existing measurement arrangement optimization methods use a single measurement arrangement as the basic evaluation unit, making it difficult to fully utilize the advantages of multi-channel acquisition. It constructs a scoring and selection mechanism oriented towards multi-channel acquisition conditions, introduces channel occupancy status in the coarse and fine screening processes, improves the utilization rate of parallel channel resources, and reduces the occupation of channel resources by redundant measurement arrangements.

[0053] 2. The present invention adopts a phased scoring and evaluation strategy that combines coarse screening and fine screening, and further sorts and outputs the results. This strategy can balance the efficiency of selection and the quality of information in large-scale candidate measurement and arrangement, and reduces the computational overhead caused by directly performing fine screening on the entire candidate space.

[0054] 3. By sorting and outputting the optimized target measurement arrangement, this invention can generate a measurement sequence with low redundancy, high information content, and usability for field acquisition, thereby improving the engineering feasibility of multi-channel DC electrical resistivity data acquisition.

[0055] To verify the imaging capability of the method of this invention under actual working conditions, this embodiment conducted a simulation experiment based on a two-dimensional numerical geoelectric model. Under the same electrode layout and inversion parameters, the preferred measurement arrangement obtained by this invention was compared with three traditional measurement arrangements: the Winner arrangement, the Schlumberger arrangement, and the dipole-dipole arrangement. The results were analyzed and compared. Figure 5 As shown.

[0056] Inversion results for different measurement arrangements, for example Figure 5 As shown. The Winner arrangement can reflect the stratification characteristics of the overburden and bedrock, and has a certain response to tilted anomalies, but the two anomalies on the right side were not identified, and the bedrock interface was blurred. The Schlumberger arrangement has a better imaging effect than the Winner arrangement, and the anomaly inversion effect is better, but a false low-resistivity anomaly appears on the bedrock boundary on the left. The dipole-dipole arrangement has a certain ability to identify the contour of low-resistivity anomalies, but the overall imaging position has an offset of about 3-5 m, and the bedrock interface is still relatively blurred. The measurement arrangement obtained by this invention can clearly identify each low-resistivity anomaly, and the shape and position of the anomaly are more consistent with the real model. The bedrock interface is continuous and clear, with only a slight false anomaly on the left side due to the influence of the lateral anomaly. The overall structure is not significantly disturbed.

[0057] The above results show that the multi-channel DC electrical method for rapid optimization of measurement arrangement proposed in this invention can achieve better structural imaging capabilities and anomaly resolution than traditional measurement arrangements by using a phased scoring and evaluation process of coarse screening, fine screening, and sorting output, while ensuring that the target measurement scale is controllable.

[0058] Based on the rapid optimization method for multi-channel DC electrical resistivity measurement arrays provided in the above embodiments, and based on the same technical concept, the present invention also provides a rapid optimization system for multi-channel DC electrical resistivity measurement arrays. Figure 6 This is a schematic diagram of a rapid optimization system for a multi-channel DC electrical resistivity measurement array according to an embodiment of the present invention, as shown below. Figure 6 As shown. The rapid optimization system 200 includes: a data acquisition module 201, used to acquire electrode layout information and target measurement scale in the test area; a candidate construction module 202, used to combine the electrode layout information in the test area according to preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set; a coarse selection module 203, used to establish a multi-channel coarse selection scoring function based on sensitivity scoring, and to perform coarse selection on the candidate measurement arrangement set to obtain a candidate subset; a fine selection module 204, used to establish a multi-channel fine selection scoring function based on resolution gain, and to perform fine selection on the candidate subset until the number of finely selected measurement arrangements reaches the target measurement scale, to obtain a target measurement arrangement set; a sorting output module 205, used to sort and output the target measurement arrangement set to generate a measurement sequence; and an acquisition execution module 206, used to import the measurement sequence into a multi-channel DC resistivity method device to perform field data acquisition.

[0059] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0060] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A rapid optimization method for multi-channel DC electrical method measurement arrays, characterized in that, The rapid optimization method includes: Acquire information on electrode layout in the survey area and the target measurement scale; The electrode layout information of the test area is combined according to the preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set; A multi-channel coarse screening scoring function is established based on sensitivity scoring, and the candidate measurement arrangement set is coarsely screened and optimized to obtain a candidate subset, wherein the candidate subset includes all basic measurement arrangements in the basic measurement arrangement set and multiple candidate measurement arrangements extracted by coarse screening; A multi-channel fine screening scoring function is established based on resolution gain, and the candidate subset is finely screened and optimized until the number of finely screened measurement arrangements reaches the target measurement scale, thus obtaining the target measurement arrangement set. The target measurement permutation set is sorted and output to generate a measurement sequence; The measurement sequence is imported into a multi-channel DC resistivity device to perform field data acquisition.

2. The rapid optimization method according to claim 1, characterized in that, The process involves establishing a multi-channel coarse screening scoring function based on sensitivity scoring, and performing coarse screening and optimization on the candidate measurement permutation set to obtain a candidate subset, including: A multi-channel coarse screening scoring function is established based on the sensitivity information of each candidate measurement arrangement to the target region in the candidate measurement arrangement set; The candidate measurement arrangement is scored according to the multi-channel coarse screening scoring function; The candidate measurement arrangements with higher scores are selected sequentially from the candidate measurement arrangement set and added to the current candidate subset; After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected candidate measurement arrangement is updated synchronously. Repeat the above steps until the current candidate subset reaches the candidate subset size preset in the coarse screening stage.

3. The rapid optimization method according to claim 2, characterized in that, The multi-channel coarse screening scoring function is as follows (1): （1） In equation (1) above, i represents the candidate measurement arrangement, and F1 i For the multi-channel coarse screening scoring function corresponding to the i-th candidate measurement arrangement, Here, m represents the coarse screening capacity constraint coefficient, m represents the total number of underground model mesh elements, and j represents the number of underground model elements. This represents the sensitivity of candidate measurement arrangement i to the j-th model unit. This represents the normalized sensitivity, used to characterize the ability of the candidate measurement arrangement to supplement areas where the current sensitivity is insufficient. This refers to the j-th term on the main diagonal of the underground model resolution matrix corresponding to the current candidate subset S. For the j-th term on the main diagonal of the underground model resolution matrix corresponding to the comprehensive reference set Ω, N S This represents the number of measured permutations in the current candidate subset S. This represents the sensitivity of the k-th measurement arrangement in the current candidate subset S to the j-th underground model unit. The comprehensive reference set Ω is the union of the set of basic measurement arrangements composed of multiple basic measurement arrangements and the set of candidate measurement arrangements. The coarse screen capacity constraint coefficient is given by the following formula (2): (2) In the above formula (2), This is a preset quantity for the coarse screening stage, and this preset quantity is greater than the number of parallel channels of the multi-channel DC resistivity acquisition device. For the current candidate subset S, the power supply electrode combination The number of channels already occupied, when the power supply electrode combination When the corresponding constraint coefficient is reduced to zero, the unselected candidate measurement arrangement corresponding to the power supply electrode combination will no longer participate in the selection, thus completing the coarse screening selection corresponding to the power supply electrode combination. The resolution matrix of the underground model is given by the following formula (3): （3） In equation (3) above, C is the constraint matrix of the underground model, which is usually a smooth constraint. This is the sensitivity matrix.

4. The rapid optimization method according to claim 1, characterized in that, The process involves establishing a multi-channel fine-screening scoring function based on resolution gain, and then fine-screening and optimizing the candidate subset until the number of finely screened measurement arrangements reaches the target measurement scale, resulting in a target measurement arrangement set, including: The target measurement permutation set is initialized based on all the basic measurement permutations in the candidate subset; A multi-channel fine screening scoring function is established based on the contribution of each candidate measurement arrangement selected in the coarse screening to the resolution improvement of the underground model of the target measurement arrangement set. The candidate measurements extracted from the coarse screening are ranked and scored according to the multi-channel fine screening scoring function. From the multiple candidate measurement arrangements selected in the coarse screening, the candidate measurement arrangements with higher scores are successively added to the target measurement arrangement set; After each selection, the channel occupancy status of the power supply electrode combination corresponding to the selected candidate measurement arrangement is updated synchronously. Repeat the above steps until the target measurement scale is reached. The target measurement arrangement set that reaches the target measurement scale includes all basic measurement arrangements in the candidate subset and the selected candidate measurement arrangements.

5. The rapid optimization method according to claim 4, characterized in that, The multi-channel fine screening scoring function is the following formula (4): （4） In equation (4) above, i represents the candidate measurement arrangement, and F2 is the multi-channel fine screening scoring function. Here, m represents the capacity constraint coefficient for the fine screening, and m is the total number of grid cells in the underground model. The j-th item on the main diagonal of the resolution matrix corresponding to the target measurement permutation set; Add the j-th item of the main diagonal of the resolution matrix corresponding to the i-th candidate measurement arrangement to the target measurement arrangement set; The capacity constraint coefficient for the fine screening is given by the following formula (5): （5） In the above formula (5), M is the preset number of the fine screening stage, and the preset number is not greater than the number of parallel channels of the multi-channel DC power method acquisition device.

6. The rapid optimization method according to claim 1, characterized in that, The acquisition of electrode layout information in the test area includes: Obtain the numbering information, spatial location information, and survey line layout information of each electrode in the survey area; The target measurement scale is used to characterize the number of measurement arrangements obtained after coarse and fine screening.

7. The rapid optimization method according to claim 1, characterized in that, The step of sorting and outputting the target measurement permutation set to generate a measurement sequence includes: The target measurements are grouped according to the power supply electrode combination; During the sorting and output process, target measurements under the same power supply electrode combination are prioritized and grouped together to reduce the number of power supply switching times and improve on-site data acquisition efficiency. By combining the requirements of the on-site data acquisition sequence, the influence of electrode polarization, and the constraints of field execution, a measurement sequence that can be recognized by a multi-channel DC electrical resistivity device is generated; wherein, the measurement sequence includes power supply electrode combination information, measurement electrode combination information, and execution sequence information.

8. The rapid optimization method according to claim 1, characterized in that, The step of importing the measurement sequence into a multi-channel DC resistivity device for field data acquisition includes: The measurement sequence is written into the control file of the multi-channel DC power method device; Control the switching of power supply electrodes and the selection of measurement electrodes to complete multi-channel field data acquisition.

9. A rapid optimization system for multi-channel DC electrical method measurement arrays, characterized in that, The rapid optimization system includes: The data acquisition module is used to acquire information on the electrode layout in the test area and the target measurement scale. The candidate construction module is used to combine the electrode layout information of the test area according to the preset arrangement type rules to construct a basic measurement arrangement set and a candidate measurement arrangement set. The coarse screening module is used to establish a multi-channel coarse screening scoring function based on sensitivity scores, and to perform coarse screening and optimization on the candidate measurement arrangement set to obtain a candidate subset; The fine screening module is used to establish a multi-channel fine screening scoring function based on resolution gain, and to fine screen and select the candidate subset until the number of finely screened measurement arrangements reaches the target measurement scale, thereby obtaining the target measurement arrangement set; The sorting output module is used to sort and output the target measurement arrangement set to generate a measurement sequence; The data acquisition and execution module imports the measurement sequence into a multi-channel DC resistivity device to perform field data acquisition.

10. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus, and the processor calls logical instructions in the memory to execute a rapid optimization method for a multi-channel DC power measurement array as described in any one of claims 1 to 8.

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