A soil sampling sample partition block whole-process detection tracking system

Abstract

The application discloses a kind of soil sampling sample partition block whole-process detection tracking system, to solve the technical problems that existing soil sampling detection, block sampling after sample and block position accurate correlation loss, whole-process tracking fault, and detection data and block soil characteristics matching degree is low, leading to abnormal detection result cannot be quickly traced to specific sampling block and the specific technical problem of sampling link.The application includes sampling unit, partition block pretreatment unit, core correlation tracking unit, detection unit, data storage unit and terminal display unit, wherein the core correlation tracking unit adopts improved block-sample two-dimensional dynamic correlation algorithm, combines block soil characteristics and sample detection parameters, realizes the whole-process accurate tracking of sample, and establishes abnormal data fast traceability mechanism.The application only through core correlation tracking unit makes up the defect that existing system block and sample correlation is loose, traceability efficiency is low, improves the accuracy and traceability of soil sampling detection.

Description

Technical Field

[0001] This invention relates to the field of soil testing, specifically to a soil sampling sample block-based full-process testing and tracking system. Background Technology

[0002] In soil sampling and testing, to comprehensively understand the soil quality distribution of a target area, the target area is usually divided into multiple blocks for sampling and testing. Existing soil sampling and testing systems mostly adopt a linear "sampling-testing-recording" process, which presents a specific and prominent technical problem: after block sampling, the association between a sample and its corresponding block relies solely on a single sample number, without considering the characteristics of the soil within the block and the overall state parameters of the sample throughout the process. This results in a loose association between samples and blocks, and gaps in the overall tracking process. When abnormal test data occurs, it is impossible to quickly trace back to the specific sampling block, or to determine whether the anomaly originated from the sampling, preprocessing, or testing stages. All samples from all blocks must be retested, increasing testing costs and reducing efficiency. Furthermore, the association algorithms used in existing systems are mostly single-dimensional number matching, failing to consider the correlation between block soil characteristics and sample testing parameters. This leads to low matching degrees between samples and blocks, easily causing sample confusion and mismatches between test results and the actual soil conditions within the blocks, affecting the accuracy and reliability of soil testing.

[0003] Currently, there are no solutions in existing technologies to address the specific problems mentioned above. Most systems only focus on the collection and storage of detection data and do not design a dedicated correlation and tracking module to achieve accurate binding between blocks and samples and dynamic tracking throughout the entire process. A few systems with tracking functions use conventional number matching or simple spatial distance matching as their correlation algorithms, without combining the characteristics of the block soil and the sample detection parameters for two-dimensional correlation, which fails to solve the core pain points of loose correlation and inefficient traceability. Summary of the Invention

[0004] The purpose of this invention is to provide a soil sampling sample block-based full-process detection and tracking system to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a soil sampling sample block full-process detection and tracking system, comprising a sampling unit, a block preprocessing unit, a core correlation tracking unit, a detection unit, a data storage unit, and a terminal display unit; The sampling unit employs a mobile sampling device. Based on factors such as soil type and topography of the target area, sampling blocks are divided according to preset rules (200-300 mu per block in plains areas and 100-150 mu per block in hilly areas). Sampling is performed on each block, and the sampling location (latitude and longitude), sampling depth, sampling time, and sampling personnel information are collected and recorded simultaneously. After sampling, the samples are initially packaged and marked with a temporary number. The pre-processing unit for each block receives soil samples and sampling information transmitted by the sampling unit, processes the samples uniformly according to the block classification, and sequentially completes pre-processing steps including but not limited to sample number (corresponding to the block code), natural drying, grinding, and sieving (removing impurities and retaining particles smaller than 2mm). It simultaneously records the pre-processing time, grinding particle size, sieving specifications, and pre-processing parameters, and outputs standardized samples for use by the detection unit. The core association tracking unit is used to establish dynamic associations between block information, sampling information, preprocessing information, and detection information. It adopts an improved block-sample dual-dimensional dynamic association algorithm to realize full-process sample tracking and abnormal data tracing. Its specific working steps include block encoding generation, sample feature extraction, dual-dimensional association calculation, dynamic tracking update, and abnormal tracing matching. The detection unit receives standardized samples output from the partitioned preprocessing unit, uses corresponding detection equipment to detect the physicochemical indicators of the samples (such as particle composition, pH value, organic matter content, heavy metal content, etc.), and synchronously records detection process parameters including but not limited to detection time, detection equipment model, detection personnel, and detection environment parameters (temperature, humidity), outputs detection data (pass / fail, specific indicator values), and transmits the detection data and process parameters to the core correlation tracking unit and data storage unit. The data storage unit adopts a distributed storage architecture to store all data generated by each unit of the system, including but not limited to block partitioning information, sampling information, preprocessing information, detection information, and correlation tracking data (correlation degree calculation results, dynamic update records), etc. It supports real-time writing, querying, modification and backup of data to ensure data security and integrity. The terminal display unit adopts a visual interface to display the system's full-process data, including a block division map, sampling information for each block, sample pretreatment status, test results, related tracking records, and anomaly tracing information. It supports users to query and export data using keywords such as block code, sample number, and test time. It also supports the display of anomaly warning information, making it convenient for users to keep track of sample testing and tracking status in real time.

[0006] Preferably, the core association tracking unit is implemented using the following steps: Step 1: Block Coding Generation and Basic Feature Collection First, the system receives the block division information transmitted by the sampling unit and uses a three-level coding system to uniquely identify each sampling block (optimized based on existing block coding specifications). Simultaneously, it collects the basic soil characteristic parameters for each block. This includes soil type, particle composition (ratio of sand, silt, and clay), pH value, and organic matter content. The core parameters were tested using standardized methods such as dry sieving and potentiometric methods (referencing existing soil physicochemical analysis methods), including block codes, block center latitude and longitude, and basic soil characteristic parameters. The sampling information is associated and stored to form a basic database of blocks, providing data support for subsequent association calculations; Step 2: Sample Feature Extraction and Standardization The system receives standardized samples and preprocessing parameters transmitted from the partitioned preprocessing unit, performs feature extraction on each sample, and extracts sample feature parameters. Basic characteristic parameters of the block One-to-one correspondence (i.e.) All parameters are completely identical, including particle composition, pH value, and organic matter content of the samples, to ensure the comparability of characteristic parameters; at the same time, the extracted sample characteristic parameters are standardized to eliminate errors caused by different detection equipment and detection environments. The standardization formula is as follows: ,in For the first The first sample The standardized values ​​of the feature parameters, For all samples The minimum value of the characteristic parameter. For all samples The maximum value of the characteristic parameter; after standardization, the sample number, preprocessing parameters, and standardized sample characteristic parameters are... Linked storage forms a sample feature database; Step 3, Two-dimensional correlation calculation: An improved block-sample two-dimensional dynamic association algorithm is used to calculate the association degree between each block and each sample. The correlation value range is The closer the correlation is to 1, the higher the matching degree between the sample and the block. Step 4: Dynamic tracking and updates throughout the entire process: Throughout the entire sample flow process (from sampling completion to testing and archiving), the core correlation tracking unit receives real-time status data transmitted by each unit, including grinding particle size and drying time in the pretreatment stage, and the status of testing equipment, testing index values, and testing time in the testing stage, and synchronously updates the correlation degree of the "block-sample" correlation pair. ; At the same time, the correlation degree changes in real time, forming a dynamic tracking record of "block-sample-full process status", ensuring that each link of each sample can be associated with the corresponding block, and realizing full process traceability; if the correlation degree is lower than 0.7 during the update process, an early warning will be continuously triggered until the problem is investigated and resolved and the correlation degree is restored to above the threshold. Step 5: Anomaly source tracing and matching: When the detection unit outputs abnormal detection data (such as detection indicators exceeding the standard range), the core correlation tracking unit immediately retrieves the corresponding block-sample correlation pair and the entire process tracking record, and uses the correlation degree... The system accurately locates the corresponding sampling area and traces back the sampling process (sampling depth, sampling time, sampling personnel), sample pretreatment process (grinding particle size, drying time), and detection process (detection equipment status, detection environment parameters) of that area, extracting any abnormal or potential problems in each step.

[0007] Preferably, the coding rules of the three-level coding system in step 1 are as follows: the first level is the regional code (2 digits, adopting GB / T2260-2007 Administrative Division Code of the People's Republic of China), the second level is the unit type code (3 digits, such as N01 representing the 0-20cm cultivated layer of farmland and K01 representing the 0-50cm sampling layer of mining area), and the third level is the sequence number (4 digits, starting from 0001 and increasing sequentially), forming a 10-digit unique block code.

[0008] Preferably, the specific calculation content of the two-dimensional correlation calculation in step 3 is as follows: First, the correlation coefficient of the first dimension, i.e., the feature association dimension, is calculated. The modified Pearson correlation coefficient is used to calculate the correlation between the basic characteristics of the soil in the block and the characteristics of the sample. The formula is as follows: in, The characteristic correlation coefficient, For all samples The average of the standardized values ​​of the feature parameters; Secondly, the correlation coefficient of the second dimension, namely the spatial-process correlation dimension, is calculated. This considers the spatial distance between sample pretreatment, detection stages, and sampling points in the block, as well as the continuity of the sample's overall process. The Sigmoid function is used to normalize the distance, and the formula is as follows: ,in For spatial-process correlation coefficients, For the first The sampling point of the first block and the first Spatial distance between sample pretreatment and testing stages The distance influence coefficient (calibration value is 0.002). The distance threshold (calibration value is 5) is used when the distance... When less than or equal to 5m, A value close to 1 indicates a high degree of spatial correlation; when the distance is greater than 5m, The degree of correlation decreases with increasing distance, ensuring that the impact of spatial location on correlation is reasonable. Finally, combined with dynamic weighting coefficients Calculate the final correlation degree The formula is: ;in, The weighting coefficients are dynamically adjusted based on the soil type of the blocks: 0.5 for farmland soil, 0.6 for mining soil (due to more significant differences in soil characteristics in mining areas, feature correlation is prioritized), and 0.4 for soil in ecological restoration areas (due to the greater impact of sample transfer processes in ecological restoration areas, spatial-process correlation is prioritized). This dynamic weighting adjustment makes the correlation calculation more closely aligned with the actual needs of different scenarios, improving the accuracy of the correlation. After the calculation is completed, if Each sample is paired with the block with the highest correlation, forming a "block-sample" association pair. If the highest correlation of a sample is... If this occurs, an early warning will be triggered, prompting the user to check the sample number, pretreatment process, or sampling location to avoid misalignment of the sample with the block.

[0009] Compared with the prior art, the beneficial effects of the present invention are: This invention achieves precise correlation between samples and blocks after block sampling, eliminating the gaps in the entire process tracking. When an anomaly is detected, it can quickly trace back to the specific sampling block and the entire process, investigate the cause of the anomaly, and improve the efficiency of anomaly handling. Improving detection accuracy: This invention uses a two-dimensional correlation algorithm and dynamic weight adjustment to ensure the matching degree between samples and blocks, avoid sample confusion, and enable the detection results to truly reflect the soil quality status of the corresponding blocks, thereby improving the accuracy and reliability of soil detection. Reduced testing costs: This invention avoids blind re-inspection and resampling during abnormal detection. By accurately tracing and locating potential hazards, it reduces ineffective testing work and lowers testing costs. Attached Figure Description

[0010] Figure 1 This is a schematic diagram of the system structure of the present invention; Figure 2 This is a schematic diagram of the workflow of the core association tracking unit of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] Please see Figure 1-2 The present invention provides a technical solution: a soil sampling sample block full-process detection and tracking system, including a sampling unit, a block preprocessing unit, a core correlation tracking unit, a detection unit, a data storage unit and a terminal display unit; Sampling Unit: Using mobile sampling equipment, sampling blocks are divided according to the soil type, topography and other factors of the target area, and according to preset rules (200-300 mu per block in plains areas and 100-150 mu per block in hilly areas). Sampling is carried out in each block, and the sampling location (latitude and longitude), sampling depth, sampling time and sampling personnel information are collected and recorded simultaneously. After sampling, the samples are initially packaged and marked with a temporary number. Block Pre-processing Unit: Receives soil samples and sampling information transmitted by the sampling unit, processes the samples uniformly according to block classification, and sequentially completes pre-processing steps including but not limited to sample number (corresponding to block code), natural drying, grinding, and sieving (removing impurities and retaining particles smaller than 2mm). Simultaneously records pre-processing time, grinding particle size, sieving specifications, and pre-processing parameters, and outputs standardized samples for use by the detection unit. The core correlation tracking unit is used to establish dynamic correlations between block information, sampling information, preprocessing information, and detection information. It adopts an improved block-sample two-dimensional dynamic correlation algorithm to realize full-process tracking of samples and traceability of abnormal data. Its specific working steps include block encoding generation, sample feature extraction, two-dimensional correlation calculation, dynamic tracking update, and abnormal source matching. The detection unit receives standardized samples output from the preprocessing unit and uses corresponding detection equipment to detect the physicochemical indicators of the samples (such as particle composition, pH value, organic matter content, heavy metal content, etc.). It synchronously records detection process parameters, including but not limited to detection time, detection equipment model, detection personnel, and detection environment parameters (temperature, humidity), outputs detection data (pass / fail, specific indicator values), and transmits the detection data and process parameters to the core correlation tracking unit and data storage unit. Data storage unit: Adopting a distributed storage architecture, it is used to store all data generated by each unit of the system, including but not limited to block partitioning information, sampling information, preprocessing information, detection information, correlation tracking data (correlation degree calculation results, dynamic update records), etc. It supports real-time writing, querying, modification and backup of data to ensure data security and integrity. Terminal display unit: It adopts a visual interface to display the system's full-process data, including block division map, sampling information of each block, sample pretreatment status, test results, related tracking records and anomaly tracing information. It supports users to query and export data by keywords such as block code, sample number, and test time. It also supports the display of anomaly warning information, so that users can keep track of the sample testing and tracking status in real time.

[0013] Furthermore, the specific implementation steps of the core association tracking unit are as follows: Step 1: Block Coding Generation and Basic Feature Collection First, the system receives the block division information transmitted by the sampling unit and uses a three-level coding system to uniquely identify each sampling block (optimized based on existing block coding specifications). Simultaneously, it collects the basic soil characteristic parameters for each block. This includes soil type, particle composition (ratio of sand, silt, and clay), pH value, and organic matter content. The core parameters were tested using standardized methods such as dry sieving and potentiometric methods (referencing existing soil physicochemical analysis methods), including block codes, block center latitude and longitude, and basic soil characteristic parameters. The sampling information is associated and stored to form a basic database of blocks, providing data support for subsequent association calculations; Step 2: Sample Feature Extraction and Standardization The system receives standardized samples and preprocessing parameters transmitted from the partitioned preprocessing unit, performs feature extraction on each sample, and extracts sample feature parameters. Basic characteristic parameters of the block One-to-one correspondence (i.e.) All parameters are completely identical, including particle composition, pH value, and organic matter content of the samples, to ensure the comparability of characteristic parameters; at the same time, the extracted sample characteristic parameters are standardized to eliminate errors caused by different detection equipment and detection environments. The standardization formula is as follows: ,in For the first The first sample The standardized values ​​of the feature parameters, For all samples The minimum value of the characteristic parameter. For all samples The maximum value of the characteristic parameter; after standardization, the sample number, preprocessing parameters, and standardized sample characteristic parameters are... Linked storage forms a sample feature database; Step 3, Two-dimensional correlation calculation: An improved block-sample two-dimensional dynamic association algorithm is used to calculate the association degree between each block and each sample. The correlation value range is The closer the correlation is to 1, the higher the matching degree between the sample and the block. Step 4: Dynamic tracking and updates throughout the entire process: Throughout the entire sample flow process (from sampling completion to testing and archiving), the core correlation tracking unit receives real-time status data transmitted by each unit, including grinding particle size and drying time in the pretreatment stage, and the status of testing equipment, testing index values, and testing time in the testing stage, and synchronously updates the correlation degree of the "block-sample" correlation pair. For example, after sample testing is completed, if the deviation between the detected characteristic parameters and the basic characteristic parameters of the block increases, it will lead to an increase in the feature correlation coefficient. Reduce, and thus reduce the correlation Reduce; if the sample exhibits abnormalities during pretreatment (e.g., grinding particle size does not meet standards), adjust the spatial-process correlation coefficient. Synchronously update the relevance; At the same time, the correlation degree changes in real time, forming a dynamic tracking record of "block-sample-full process status", ensuring that each link of each sample can be associated with the corresponding block, and realizing full process traceability; if the correlation degree is lower than 0.7 during the update process, an early warning will be continuously triggered until the problem is investigated and resolved and the correlation degree is restored to above the threshold. Step 5: Anomaly source tracing and matching: When the detection unit outputs abnormal detection data (such as detection indicators exceeding the standard range), the core correlation tracking unit immediately retrieves the corresponding block-sample correlation pair and the entire process tracking record, and uses the correlation degree... The system accurately locates the corresponding sampling area and traces back the sampling process (sampling depth, sampling time, sampling personnel), sample pretreatment process (grinding particle size, drying time), and detection process (detection equipment status, detection environment parameters) of that area, extracting any abnormal or potential problems in each step.

[0014] For example, if a sample is found to have an abnormal heavy metal content, after locating the corresponding block through correlation, it is possible to trace whether there was any sampling point offset (spatial distance) during the sampling process of that block. (Excessive size), whether there is cross-contamination in the pretreatment process, whether there is equipment calibration abnormality in the testing process, quickly identify the cause of abnormality, provide accurate basis for subsequent retesting and resampling, avoid blind retesting, reduce testing costs, and improve the efficiency of abnormality handling.

[0015] Furthermore, the coding rules of the three-level coding system in step 1 are as follows: the first level is the regional code (2 digits, adopting GB / T2260-2007 Administrative Division Code of the People's Republic of China), the second level is the unit type code (3 digits, such as N01 representing the 0-20cm cultivated layer of farmland and K01 representing the 0-50cm sampling layer of mining area), and the third level is the sequence number (4 digits, starting from 0001 and increasing sequentially), forming a 10-digit unique block code.

[0016] Furthermore, the specific calculations for the two-dimensional association in step 3 are as follows: First, the correlation coefficient of the first dimension, i.e., the feature association dimension, is calculated. The modified Pearson correlation coefficient is used to calculate the correlation between the basic characteristics of the soil in the block and the characteristics of the sample. The formula is as follows: in, The characteristic correlation coefficient, For all samples The average of the standardized values ​​of the feature parameters; Secondly, the correlation coefficient of the second dimension, namely the spatial-process correlation dimension, is calculated. This considers the spatial distance between sample pretreatment, detection stages, and sampling points in the block, as well as the continuity of the sample's overall process. The Sigmoid function is used to normalize the distance, and the formula is as follows: ,in For spatial-process correlation coefficients, For the first The sampling point of the first block and the first Spatial distance between sample pretreatment and testing stages The distance influence coefficient (calibration value is 0.002). The distance threshold (calibration value is 5) is used when the distance... When less than or equal to 5m, A value close to 1 indicates a high degree of spatial correlation; when the distance is greater than 5m, The degree of correlation decreases with increasing distance, ensuring that the impact of spatial location on correlation is reasonable. Finally, combined with dynamic weighting coefficients Calculate the final correlation degree The formula is: ;in, The weighting coefficients are dynamically adjusted based on the soil type of the blocks: 0.5 for farmland soil, 0.6 for mining soil (due to more significant differences in soil characteristics in mining areas, feature correlation is prioritized), and 0.4 for soil in ecological restoration areas (due to the greater impact of sample transfer processes in ecological restoration areas, spatial-process correlation is prioritized). This dynamic weighting adjustment makes the correlation calculation more closely aligned with the actual needs of different scenarios, improving the accuracy of the correlation. After the calculation is completed, if Each sample is paired with the block with the highest correlation, forming a "block-sample" association pair. If the highest correlation of a sample is... If this occurs, an early warning will be triggered, prompting the user to check the sample number, pretreatment process, or sampling location to avoid misalignment of the sample with the block.

[0017] This invention discloses a full-process detection and tracking system for soil sampling samples in blocks, aiming to solve specific technical problems in existing soil sampling and testing, such as the lack of precise correlation between sample and block location after block sampling, gaps in full-process tracking, and low matching degree between detection data and block soil characteristics, resulting in the inability to quickly trace abnormal detection results back to specific sampling blocks and sampling stages. This invention includes a sampling unit, a block preprocessing unit, a core correlation tracking unit, a detection unit, a data storage unit, and a terminal display unit. The core correlation tracking unit employs an improved block-sample dual-dimensional dynamic correlation algorithm, combining block soil characteristics and sample detection parameters to achieve precise tracking of samples throughout the entire process from sampling, preprocessing, detection, and archiving, while establishing a rapid source tracing mechanism for abnormal data. This invention, through the core correlation tracking unit alone, overcomes the shortcomings of existing systems such as loose block-sample correlation and low source tracing efficiency, improving the accuracy and traceability of soil sampling and testing, and is applicable to various soil block sampling and testing scenarios such as farmland, mining areas, and ecological restoration areas.

[0018] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A soil sampling sample partition block whole-process detection tracking system, characterized in that, It includes a sampling unit, a partitioned preprocessing unit, a core correlation tracking unit, a detection unit, a data storage unit, and a terminal display unit; The sampling unit employs a mobile sampling device. Based on factors such as soil type and topography of the target area, sampling blocks are divided according to preset rules. Sampling is performed on each block, and the sampling location, sampling depth, sampling time, and sampling personnel information are collected and recorded simultaneously. After sampling, the samples are initially packaged and marked with a temporary number. The pre-processing unit for each block receives soil samples and sampling information transmitted by the sampling unit, processes the samples uniformly according to the block classification, and sequentially completes pre-processing steps including but not limited to sample numbering, natural drying, grinding, and sieving. It also records the pre-processing time, grinding particle size, and sieving specifications simultaneously, and outputs standardized samples for use by the detection unit. The core association tracking unit is used to establish dynamic associations between block information, sampling information, preprocessing information, and detection information. It adopts an improved block-sample dual-dimensional dynamic association algorithm to realize full-process sample tracking and abnormal data tracing. Its specific working steps include block encoding generation, sample feature extraction, dual-dimensional association calculation, dynamic tracking update, and abnormal tracing matching. The detection unit receives standardized samples output from the partitioned preprocessing unit, uses corresponding detection equipment to detect the physicochemical properties of the samples, and synchronously records, but is not limited to, detection time, detection equipment model, detection personnel, detection environment parameters, and detection process parameters. It outputs detection data and transmits the detection data and process parameters to the core correlation tracking unit and data storage unit. The data storage unit adopts a distributed storage architecture to store all data generated by each unit of the system, including but not limited to block partitioning information, sampling information, preprocessing information, detection information, and correlation tracking data. It supports real-time writing, querying, modification, and backup of data to ensure data security and integrity. The terminal display unit adopts a visual interface to display the system's full-process data, including a block division map, sampling information for each block, sample pretreatment status, test results, related tracking records, and anomaly tracing information. It supports users to query and export data using keywords such as block code, sample number, and test time. It also supports the display of anomaly warning information, making it convenient for users to keep track of sample testing and tracking status in real time.

2. The soil sampling sample partition block whole process detection tracking system according to claim 1, characterized in that: The specific implementation steps of the core association tracking unit are as follows: Step 1: Block Coding Generation and Basic Feature Collection First, the system receives the block division information transmitted by the sampling unit and uses a three-level coding system to uniquely identify each sampling block; simultaneously, it collects the basic soil characteristic parameters of each block. This includes soil type, particle composition, pH value, and organic matter content. The core parameters were tested using standardized methods such as dry sieving and potentiometric methods, including block codes, block center latitude and longitude, and basic soil characteristic parameters. The sampling information is associated and stored to form a basic database of blocks, providing data support for subsequent association calculations; Step 2: Sample Feature Extraction and Standardization The system receives standardized samples and preprocessing parameters transmitted from the partitioned preprocessing unit, performs feature extraction on each sample, and extracts sample feature parameters. Basic characteristic parameters of the block A one-to-one correspondence is established, including sample particle composition, pH value, and organic matter content, to ensure the comparability of characteristic parameters. Simultaneously, the extracted sample characteristic parameters are standardized to eliminate errors introduced by different detection equipment and environments. The standardization formula is as follows: ,in For the first The first sample The standardized values ​​of the feature parameters, For all samples The minimum value of the characteristic parameter. For all samples The maximum value of the characteristic parameter; after standardization, the sample number, preprocessing parameters, and standardized sample characteristic parameters are... Linked storage forms a sample feature database; Step 3, Two-dimensional correlation calculation: An improved block-sample two-dimensional dynamic association algorithm is used to calculate the association degree between each block and each sample. The correlation value range is The closer the correlation is to 1, the higher the matching degree between the sample and the block. Step 4: Dynamic tracking and updates throughout the entire process: Throughout the entire sample flow process, the core correlation tracking unit receives real-time status data transmitted from each unit, including grinding particle size and drying time in the pretreatment stage, and the status of testing equipment, testing index values, and testing time in the testing stage, and synchronously updates the correlation degree of the "block-sample" correlation pair. ; At the same time, the trajectory of the correlation degree change is recorded in real time, forming a dynamic tracking record of "block-sample-full process status", ensuring that each link of each sample can be associated with the corresponding block, and realizing full process traceability; if the correlation degree is lower than 0.7 during the update process, an early warning will be continuously triggered until the problem is investigated and resolved and the correlation degree is restored to above the threshold. Step 5: Anomaly source tracing and matching: When the detection unit outputs abnormal detection data, the core correlation tracking unit immediately retrieves the corresponding block-sample correlation pair and the entire process tracking record, and uses the correlation degree... The system accurately locates the corresponding sampling area and traces back the sampling process, sample pretreatment process, and detection process of that area to extract any abnormal or potential problems in each step.

3. The soil sampling sample block-based full-process detection and tracking system according to claim 1, characterized in that: The encoding rules of the three-level encoding system in step 1 are as follows: the first level is the region code, the second level is the unit type code, and the third level is the sequence number, forming a 10-bit unique block code.

4. The soil sampling sample block-based full-process detection and tracking system according to claim 1, characterized in that: The specific calculation content of the two-dimensional correlation calculation in step 3 is as follows: First, the correlation coefficient of the first dimension, i.e., the feature association dimension, is calculated. The modified Pearson correlation coefficient is used to calculate the correlation between the basic characteristics of the soil in the block and the characteristics of the sample. The formula is as follows: in, The characteristic correlation coefficient, For all samples The average of the standardized values ​​of the feature parameters; Secondly, the correlation coefficient of the second dimension, namely the space-process correlation dimension, is calculated. The distance is normalized using the Sigmoid function, and the formula is as follows: ,in For spatial-process correlation coefficients, For the first The sampling point of the first block and the first Spatial distance between sample pretreatment and testing stages This is the distance influence coefficient. As a distance threshold, when the distance When less than or equal to 5m, A value close to 1 indicates a high degree of spatial correlation; when the distance is greater than 5m, The degree of correlation decreases with increasing distance, ensuring that the impact of spatial location on correlation is reasonable. Finally, combined with dynamic weighting coefficients Calculate the final correlation degree The formula is: ;in, These are dynamic weighting coefficients, which are dynamically adjusted based on the soil type of the block. After the calculation is completed, if Each sample is paired with the block with the highest correlation, forming a "block-sample" association pair. If the highest correlation of a sample is... If this occurs, an early warning will be triggered, prompting the user to check the sample number, pretreatment process, or sampling location to avoid misalignment of the sample with the block.

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