A method and system for statistical analysis of exploration physical workload

Abstract

This invention discloses a method and system for statistical analysis of exploration workload. The method involves dividing the total exploration project into depth intervals for each category, extracting exploration data from exploration charts, and defining several sub-exploration projects. Each sub-exploration project includes a project number, stratigraphic code, stratigraphic depth, and the soil / rock category to which the stratigraphic belongs. Each sub-exploration project is traversed in ascending order of project number. For each sub-exploration project, each depth interval is traversed in ascending order of depth. For each depth interval, the stratigraphic code falling within the corresponding depth interval is found, and the corresponding soil / rock category and depth are determined. The depths of stratigraphic codes with the same soil / rock category are accumulated to obtain the total cumulative depth corresponding to each soil / rock category within the corresponding depth interval. This invention not only avoids errors and omissions that occur during manual calculations but also significantly reduces repetitive work, greatly improving work efficiency.

Description

Technical Field

[0001] This invention belongs to the field of engineering exploration data processing technology, specifically relating to a method and system for statistical analysis of exploration workload. Background Technology

[0002] In the calculation of engineering survey fees, it is necessary to complete the statistical analysis of the physical exploration workload according to relevant regulations. This statistical analysis is based on the classification of soil and rock types and the different exploration depths of the strata according to the exploration results data. Currently, it is mainly completed manually. The main difficulties in manually handling this work are the large amount of data processing, repetitive workload, high error rate and difficulty in detecting errors, time-consuming and labor-intensive, and low work efficiency. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of the aforementioned background technology by providing a method and system for statistical analysis of exploration workload, which can significantly reduce repetitive work, avoid errors, and greatly improve work efficiency.

[0004] The technical solution adopted in this invention is: a method for statistical analysis of physical exploration workload, which divides the depth range of each type of total exploration project, extracts exploration data from exploration charts, and the exploration data includes several sub-exploration projects, each of which includes project number, stratigraphic code, stratigraphic depth, and rock and soil category to which the stratigraphic belongs;

[0005] Iterate through each sub-exploration project in ascending order of project number;

[0006] For each sub-exploration project, traverse each depth interval in order from shallow to deep;

[0007] For each depth interval, find the stratum code that falls within the corresponding depth interval, and determine the soil and rock type and stratum depth corresponding to the stratum code;

[0008] The strata depths of strata with the same soil and rock type are summed to obtain the total cumulative depth for each soil and rock type within the corresponding depth range.

[0009] Furthermore, the overall exploration project is divided into four categories: boreholes, exploration wells, exploration trenches, and adits.

[0010] Furthermore, after obtaining the total cumulative depth of each soil and rock type within the corresponding depth range, the accuracy of the exploration data is determined based on the total cumulative depth.

[0011] Furthermore, the process of determining the accuracy of exploration data based on the total cumulative depth is as follows:

[0012] The total cumulative depth is compared with the difference between the upper and lower limits of the corresponding depth range. If the total cumulative depth is equal to the difference between the upper and lower limits, the exploration data is considered accurate; otherwise, the exploration physical workload is excluded from the statistics.

[0013] Furthermore, the steps for traversing each sub-exploration project are as follows:

[0014] Step 1: Set the initial cumulative depth for each soil and rock category of the i-th sub-exploration project, and then proceed to Step 2;

[0015] Step 2: Determine the j-th depth interval, then proceed to Step 3;

[0016] Step 3: Determine the m-th stratigraphic code, determine whether the stratigraphic depth H corresponding to the m-th stratigraphic code is within the j-th depth interval, and proceed to Step 4;

[0017] Step 4: If yes, determine the soil and rock category Km of the m-th stratum code, add the stratum depth H of the m-th stratum code to the cumulative depth corresponding to the soil and rock category Km, and proceed to step 5; if no, proceed to step 5.

[0018] Step 5: Determine whether the stratigraphic code traversal is complete. If it is complete, calculate the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 6. If it is not complete, determine m = m + 1 and return to Step 3.

[0019] Step 6: Determine whether the total cumulative depth is equal to the difference between the upper and lower limits of the j-th depth interval. If it is equal, obtain the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 7; otherwise, proceed to Step 9.

[0020] Step 7: Determine if the depth interval traversal is complete. If it is, proceed to step 8; otherwise, determine j = j + 1 and return to step 2.

[0021] Step 8: Determine whether the traversal of the sub-exploration project is complete. If it is, proceed to step 9; if it is not, determine i = i + 1 and return to step 1.

[0022] Step 9: End the statistical work.

[0023] A system for calculating physical exploration workload, including

[0024] The depth interval division module is used to divide the depth interval for each type of general exploration project;

[0025] The data extraction module is used to extract exploration data from exploration charts. The exploration data includes several sub-exploration projects, and each sub-exploration project includes project number, stratigraphic code, stratigraphic depth, and soil and rock category to which the stratigraphic belongs.

[0026] The data traversal module is used to traverse each sub-exploration project in ascending order of project number; for each sub-exploration project, it traverses each depth interval in ascending order of depth; for each depth interval, it finds the stratigraphic code that falls within the corresponding depth interval, determines the soil and rock type and depth corresponding to the stratigraphic code; and accumulates the depths of stratigraphic codes with the same soil and rock type to obtain the total cumulative depth corresponding to each soil and rock type in the corresponding depth interval.

[0027] Furthermore, the total exploration projects are divided into four categories: boreholes, exploration wells, exploration trenches, and adits. The depth range and number of different total exploration projects are different.

[0028] Further, the depth range of the borehole is [0, 10, 20, 30, 40, 50, 60, 80, 100], the depth range of the exploratory well is [0, 2, 5, 10, 20], the depth range of the exploratory trench is [0, 2], and the depth range of the adit is [0, 50, 100, 150, 200, 250, 300].

[0029] Furthermore, after obtaining the total cumulative depth of each soil and rock type within the corresponding depth range, the accuracy of the exploration data is determined based on the total cumulative depth.

[0030] Furthermore, the process of determining the accuracy of exploration data based on the total cumulative depth is as follows:

[0031] The total cumulative depth is compared with the difference between the upper and lower limits of the corresponding depth range. If the total cumulative depth is equal to the difference between the upper and lower limits, the exploration data is considered accurate; otherwise, the exploration physical workload is excluded from the statistics.

[0032] The beneficial effects of this invention are as follows:

[0033] This invention extracts exploration chart data and stores it according to a set format. Then, it iterates through the stored project number, stratigraphic code, and divided depth interval to automatically calculate the amount of exploration work. This method not only avoids errors and omissions that occur during manual calculation, but also greatly reduces repetitive work and significantly improves work efficiency. Attached Figure Description

[0034] Figure 1 This is a flowchart of the present invention.

[0035] Figure 2 This is a flowchart illustrating the process of traversing sub-exploration data according to the present invention.

[0036] Figure 3 This is a schematic diagram illustrating the file format of some exploration data in this invention.

[0037] Figure 4This is a schematic diagram of the file format for the geotechnical category of this invention.

[0038] Figure 5 This is a schematic diagram of the statistical results file format of this invention. Detailed Implementation

[0039] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. It should be noted that these descriptions are for the purpose of aiding understanding the present invention, but do not constitute a limitation thereof. Furthermore, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0040] like Figure 1 As shown, this invention provides a method for calculating the physical workload of exploration, comprising the following steps:

[0041] Step 1, Depth Range Division: Divide the depth range for each type of general exploration project.

[0042] Step 2, Data Extraction: Extract exploration data from the exploration charts. The exploration data includes several sub-exploration projects. Each sub-exploration project includes the project number, stratigraphic code, stratigraphic depth, and the rock and soil category to which the stratigraphic belongs.

[0043] Step 3, Data Traversal: Traverse each sub-exploration project in ascending order of project number; for each sub-exploration project, traverse each depth interval in ascending order of depth.

[0044] For each depth interval, find the stratum code that falls within the corresponding depth interval, and determine the soil and rock type and stratum depth corresponding to the stratum code;

[0045] The strata depths of strata with the same soil and rock type are summed to obtain the total cumulative depth for each soil and rock type within the corresponding depth range.

[0046] This invention extracts exploration chart data and stores it according to a set format. Then, it iterates through the stored project number, stratigraphic code, and divided depth interval to automatically calculate the amount of exploration work. This method not only avoids errors and omissions that occur during manual calculation, but also greatly reduces repetitive work and significantly improves work efficiency.

[0047] Taking the statistics of actual drilling work as an example, the time required to drill a hole approximately 50m deep is about 3 to 5 minutes per person. In cases with complex geological conditions and varied strata, it takes even longer, and errors are more likely to occur and are more difficult to check. The number of boreholes in small and medium-sized water conservancy projects often exceeds 100, requiring staff to devote themselves fully to the task for a whole workday or even longer. Using the method of this invention, the time can be controlled to complete the task in 2 to 3 minutes.

[0048] Understandably, according to the prescribed engineering survey standards, general exploration projects are divided into four categories: boreholes, exploratory wells, trenches, and adits. Each category may contain several sub-projects. For example, a particular exploration might primarily involve boreholes, with a certain number of boreholes completed; each borehole constitutes a sub-exploration project. The depth ranges for each category of general exploration projects are then defined. These depth ranges may be the same or different for different general exploration projects. According to the engineering survey standards, each category of general exploration projects can be divided into one or more depth ranges. For example, the depth range for a borehole project is [0,10,20,30,40,50,60,80,100], meaning the borehole project is divided into 8 depth ranges; the depth range for a exploratory well project is [0,2,5,10,20], meaning the exploratory well project is divided into 4 depth ranges; the depth range for a trench project is [0,2], meaning the trench project is divided into 1 depth range; and the depth range for a adit project is [0,50,100,150,200,250,300], meaning the adit project is divided into 6 depth ranges.

[0049] It should be noted that the above-mentioned depth range division is not fixed. The depth range division can be arbitrarily changed according to different regions, different strata and exploration conditions.

[0050] Understandably, according to the prescribed engineering survey standards, soil and rock categories are divided into 6 categories, namely I, II, III, IV, V, and VI. When extracting exploration data, the extraction of stratigraphic data within the site area is included, including the stratigraphic code and the corresponding soil and rock category Km (Km = 1, 2, 3, 4, 5, 6), where m is the stratigraphic code.

[0051] Understandably, when extracting exploration data, the data is stored according to a predefined format. This format typically involves classifying the extracted data according to the overall exploration project type. All sub-exploration projects of the same type are stored in one or more tables or files. Each table or file contains all data for several sub-exploration projects corresponding to the overall exploration project, including project number, stratigraphic code, stratigraphic depth, and the soil / rock category of the stratigraphic unit. For example, all borehole data could be saved in an Excel file containing the borehole number, its corresponding stratigraphic code, bottom depth, and the soil / rock category. The borehole numbers are arranged sequentially, and each borehole may contain one or more stratigraphic codes (i.e., different depths). The stratigraphic depths of the same borehole are arranged in ascending order. If sub-exploration projects of the same type are stored in multiple tables or files, the data representation in these multiple tables or files is identical, such as the stratigraphic code.

[0052] It is understandable that, such as Figure 2 As shown, the steps for traversing each sub-exploration project are as follows:

[0053] Step 1: Set the initial cumulative depth for each soil and rock category in the i-th sub-exploration project, and proceed to Step 2. Before each sub-exploration project traversal begins, the initial cumulative depth of each soil and rock category is 0. That is, when traversing each sub-exploration project, the initial cumulative depth of its soil category must be cleared to zero, so as to facilitate the statistics of the soil and rock categories and the different exploration depths of the strata in each sub-exploration project.

[0054] Step 2: Determine the j-th depth interval, then proceed to Step 3.

[0055] Step 3: Determine the m-th stratigraphic code, determine whether the stratigraphic depth H corresponding to the m-th stratigraphic code is within the j-th depth interval, and proceed to Step 4.

[0056] Step 4: If yes, determine the soil and rock category Km of the m-th stratum code, and add the stratum depth H of the m-th stratum code to the cumulative depth corresponding to the soil and rock category Km, then proceed to Step 5; if no, proceed to Step 5; for example, if the soil and rock category Km of the m-th stratum code is 4, that is, the soil and rock category of this stratum code is Class IV, then add the stratum depth H of this stratum code to the cumulative depth of Class IV soil and rock category.

[0057] Step 5: Determine whether the stratigraphic code traversal is complete. If complete, calculate the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 6. If not complete, determine m = m + 1 and return to Step 3.

[0058] Step 6: Determine whether the total cumulative depth is equal to the difference between the upper and lower limits of the j-th depth interval. If it is equal, obtain the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 7; otherwise, proceed to Step 9.

[0059] Step 7: Determine if the depth interval traversal is complete. If it is, proceed to step 8; otherwise, determine j = j + 1 and return to step 2.

[0060] Step 8: Determine whether the traversal of the sub-exploration project is complete. If it is, proceed to step 9; if it is not, determine i = i + 1 and return to step 1.

[0061] Step 9: End the statistical work.

[0062] It should be noted that the values ​​of the sub-exploration project i mentioned above start from the smallest number in the same category, and are subsequently traversed in ascending order; the depth interval j starts from the shallowest interval, and the stratigraphic code m starts from the minimum value. The traversal follows the order from the inside out. After one total exploration project is traversed, the traversal of the next total exploration project continues until all exploration data is statistically analyzed.

[0063] Understandably, when judging the total cumulative depth, if the total cumulative depth is not equal to the difference between the upper and lower limits of the j-th depth interval, it indicates that there is a problem with the exploration data. The statistical work should be terminated directly according to the above steps, and the initial exploration chart data should be manually calibrated to check for problems.

[0064] In practice, only a few pieces of raw data may have issues. Therefore, to reduce the difficulty of subsequent calibration, during the statistical process, when it is determined that the total cumulative depth is problematic, the current sub-exploration project can be skipped, and the next sub-exploration project can be traversed. If the data in the next sub-exploration project is correct, it means that only the initial exploration chart data of the current sub-exploration project is problematic. Only the initial exploration chart data of the current sub-exploration project needs to be calibrated, which can greatly reduce the subsequent data calibration time. The statistical work only ends when the total cumulative depth of two consecutive sub-exploration projects has problems.

[0065] Example

[0066] The present invention will be further described below with reference to specific embodiments:

[0067] During the detailed exploration phase of a certain project, a total of 126 boreholes were drilled, including 72 onshore boreholes and 54 underwater boreholes. The following is a statistical analysis of the actual exploration workload.

[0068] (1) Extract borehole exploration data from the exploration charts and save it as an Excel file, such as... Figure 3 As shown. A typical format is as follows:

[0069] ZK01……

[0070] 3 5.20……

[0071] 4 11.70……

[0072] 7 13.40……

[0073] 8 16.70……

[0074] 9 20.90……

[0075] Each borehole exploration data is divided into two columns. The first row is the borehole number. Starting from the second row, the first column is the code of the actual stratum, which can be numbered by the user, but the code must be unique. The second column is the depth of the corresponding stratum.

[0076] (2) Based on the geological survey of the project site, compile a list of all strata present in the site, including stratum code m and its corresponding soil and rock type Km (Km = 1, 2, 3, 4, 5, 6), and save it as a .dat file. Figure 4 As shown. A typical format is as follows: 1 1 twenty one 3 3 4 3 5 3 6 2 7 2 8 3 9 5

[0086] The stratigraphic information data is divided into two columns. The first column is the code of the actual stratigraphy, which corresponds to the code in step (1). The second column is the rock and soil type of the stratigraphy (Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ, Ⅵ). Arabic numerals are used to replace the stratigraphy for easy memorization and programming.

[0087] (3) This project is a borehole exploration project. According to the engineering survey standards, the depth range limit (i.e. the divided depth range) is [0,10,20,30,40,50,60,80,100].

[0088] (4) For the i-th borehole, search for the stratum code falling within each depth interval. Starting from the depth interval [0,10], search for the matching soil and rock category Km, and define 6 total cumulative depths with an initial value of 0 to store the cumulative depth of each stratum. After all strata have been searched, check whether the sum of the 6 variables is equal to the difference between the upper and lower limits of the interval. If they are not equal, the program exits and reports an error; if they are equal, proceed to the next step.

[0089] (5) Save the stratum depth and soil and rock classification of the current borehole, that is, the depth value corresponding to the soil and rock classification of the i-th sub-exploration project in this interval is I, II, III, IV, V and VI respectively. Each depth interval contains six depth values ​​corresponding to the six soil and rock classifications. A depth interval saves 6 values.

[0090] (6) Each time the depth interval is changed, these 6 storage variables are initialized to 0. After all depth intervals have been found, the work statistics for the current borehole are completed.

[0091] (7) Repeat steps (4) to (6) until all drilling work quantities are calculated and all statistical results are saved to a file, such as Figure 5 As shown.

[0092] To implement the above-mentioned method for calculating the physical workload of exploration, this invention also provides a system for calculating the physical workload of exploration, including...

[0093] The depth interval division module is used to divide the depth interval for each type of general exploration project;

[0094] The data extraction module is used to extract exploration data from exploration charts. The exploration data includes several sub-exploration projects, and each sub-exploration project includes project number, stratigraphic code, stratigraphic depth, and soil and rock category to which the stratigraphic belongs.

[0095] The data traversal module is used to traverse each sub-exploration project in ascending order of project number; for each sub-exploration project, it traverses each depth interval in ascending order of depth; for each depth interval, it finds the stratigraphic code that falls within the corresponding depth interval, determines the soil and rock type and depth corresponding to the stratigraphic code; and accumulates the depths of stratigraphic codes with the same soil and rock type to obtain the total cumulative depth corresponding to each soil and rock type in the corresponding depth interval.

[0096] It should be noted that the specific implementation process of each of the above functional modules has been described in detail in the aforementioned method for statistical analysis of exploration physical workload, and will not be repeated here. Each functional module or the above statistical method can be implemented using the Python programming language. Python programming language is generally faster to develop than other languages, which is very advantageous for rapid development and iteration. It can automatically calculate the exploration physical workload, which can not only avoid errors and omissions that occur in manual calculation, but also greatly reduce repetitive work and greatly improve work efficiency.

[0097] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the specific order or hierarchy described.

[0098] To make the description of this disclosure more detailed and complete, illustrative descriptions of the embodiments and specific examples of the present invention have been provided above; however, this is not the only form of implementing or utilizing the specific examples of the present invention. The embodiments cover the features of multiple specific examples and the method steps and their order for constructing and operating these specific examples. However, other specific examples may also be used to achieve the same or equivalent functions and order of steps.

[0099] Those skilled in the art will also understand that the various illustrative logic blocks, units, and steps listed in the embodiments of the present invention can be implemented by electronic hardware, computer software, or a combination of both. To clearly demonstrate the substitutability of hardware and software, the functions of the various illustrative components, units, and steps described above have been generally described. Whether such functionality is implemented through hardware or software depends on the specific application and the overall system design requirements. Those skilled in the art can implement the described functions using various methods for each specific application, but such implementation should not be construed as exceeding the scope of protection of the embodiments of the present invention.

[0100] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Contents not described in detail in this specification belong to prior art known to those skilled in the art.

Claims

1. A method for statistically analyzing physical exploration workload, characterized in that: Divide the depth range of each type of general exploration project, extract exploration data from the exploration chart, the exploration data includes several sub-exploration projects, each sub-exploration project includes project number, stratigraphic code, stratigraphic depth, and rock and soil category to which the stratigraphic belongs; Iterate through each sub-exploration project in ascending order of project number; For each sub-exploration project, traverse each depth interval in order from shallow to deep; For each depth interval, find the stratum code that falls within the corresponding depth interval, and determine the soil and rock type and stratum depth corresponding to the stratum code; The strata depths of the same soil and rock type are summed to obtain the total cumulative depth for each soil and rock type in the corresponding depth range. The steps to traverse each sub-exploration project are as follows: Step 1: Set the initial cumulative depth for each soil and rock category of the i-th sub-exploration project, and then proceed to Step 2; Step 2: Determine the j-th depth interval, then proceed to Step 3; Step 3: Determine the m-th stratigraphic code, determine whether the stratigraphic depth H corresponding to the m-th stratigraphic code is within the j-th depth interval, and proceed to Step 4; Step 4: If yes, determine the soil and rock category Km of the m-th stratum code, add the stratum depth H of the m-th stratum code to the cumulative depth corresponding to the soil and rock category Km, and proceed to step 5; if no, proceed to step 5. Step 5: Determine whether the stratigraphic code traversal is complete. If complete, calculate the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 6. If not complete, determine m = m + 1 and return to Step 3. Step 6: Determine whether the total cumulative depth is equal to the difference between the upper and lower limits of the j-th depth interval. If it is equal, obtain the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 7; otherwise, proceed to Step 9. Step 7: Determine if the depth interval traversal is complete. If it is, proceed to step 8; otherwise, determine j = j + 1 and return to step 2. Step 8: Determine whether the traversal of the sub-exploration project is complete. If it is, proceed to step 9; if it is not, determine i = i + 1 and return to step 1. Step 9: End the statistical work.

2. The method for statistical analysis of exploration physical workload according to claim 1, characterized in that: The overall exploration project is divided into four categories: boreholes, exploration wells, trenches, and adits.

3. The method for statistical analysis of exploration physical workload according to claim 1, characterized in that: After obtaining the total cumulative depth of each soil and rock type in the corresponding depth range, the accuracy of the exploration data is judged based on the total cumulative depth.

4. The method for statistical analysis of exploration physical workload according to claim 3, characterized in that: The process of determining the accuracy of exploration data based on the total cumulative depth is as follows: The total cumulative depth is compared with the difference between the upper and lower limits of the corresponding depth range. If the total cumulative depth is equal to the difference between the upper and lower limits, the exploration data is considered accurate; otherwise, the exploration physical workload is excluded from the statistics.

5. A system for statistically analyzing physical exploration work, characterized in that: include The depth interval division module is used to divide the depth interval for each type of general exploration project; The data extraction module is used to extract exploration data from exploration charts. The exploration data includes several sub-exploration projects, and each sub-exploration project includes a project number, stratigraphic code, stratigraphic depth, and the rock and soil category to which the stratigraphic belongs. The data traversal module is used to traverse each sub-exploration project in ascending order of project number; for each sub-exploration project, it traverses each depth interval in ascending order of depth; for each depth interval, it finds the stratigraphic code that falls within the corresponding depth interval, determines the soil and rock type and stratigraphic depth corresponding to the stratigraphic code; and accumulates the stratigraphic depths of stratigraphic codes with the same soil and rock type to obtain the total cumulative depth corresponding to each soil and rock type in the corresponding depth interval. The steps to traverse each sub-exploration project are as follows: Step 1: Set the initial cumulative depth for each soil and rock category of the i-th sub-exploration project, and then proceed to Step 2; Step 2: Determine the j-th depth interval, then proceed to Step 3; Step 3: Determine the m-th stratigraphic code, determine whether the stratigraphic depth H corresponding to the m-th stratigraphic code is within the j-th depth interval, and proceed to Step 4; Step 4: If yes, determine the soil and rock category Km of the m-th stratum code, add the stratum depth H of the m-th stratum code to the cumulative depth corresponding to the soil and rock category Km, and proceed to step 5; if no, proceed to step 5. Step 5: Determine whether the stratigraphic code traversal is complete. If complete, calculate the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 6. If not complete, determine m = m + 1 and return to Step 3. Step 6: Determine whether the total cumulative depth is equal to the difference between the upper and lower limits of the j-th depth interval. If it is equal, obtain the total cumulative depth of each soil and rock type in the j-th depth interval and proceed to Step 7; otherwise, proceed to Step 9. Step 7: Determine if the depth interval traversal is complete. If it is, proceed to step 8; otherwise, determine j = j + 1 and return to step 2. Step 8: Determine whether the traversal of the sub-exploration project is complete. If it is, proceed to step 9; if it is not, determine i = i + 1 and return to step 1. Step 9: End the statistical work.

6. The exploration physical workload statistics system according to claim 5, characterized in that: The general exploration projects are divided into four categories: boreholes, exploration wells, trenches, and adits. The depth range and number of different general exploration projects are different.

7. The exploration physical workload statistics system according to claim 6, characterized in that: The depth range of the borehole is [0,10,20,30,40,50,60,80,100], the depth range of the exploratory well is [0,2,5,10,20], the depth range of the exploratory trench is [0,2], and the depth range of the adit is [0,50,100,150,200,250,300].

8. The exploration physical workload statistics system according to claim 5, characterized in that: After obtaining the total cumulative depth of each soil and rock type in the corresponding depth range, the accuracy of the exploration data is judged based on the total cumulative depth.

9. The exploration physical workload statistics system according to claim 8, characterized in that: The process of determining the accuracy of exploration data based on the total cumulative depth is as follows: The total cumulative depth is compared with the difference between the upper and lower limits of the corresponding depth range. If the total cumulative depth is equal to the difference between the upper and lower limits, the exploration data is considered accurate; otherwise, the exploration physical workload is excluded from the statistics.

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