Soil environment monitoring data auditing method and system

Abstract

The invention relates to the field of environmental data analysis, in particular to a soil environment monitoring data auditing method and system, and the method comprises the following steps: constructing a soil environment monitoring data set of a target region; pre-auditing the soil environment monitoring data set to obtain a preliminary auditing result of the soil environment monitoring data set; verifying and auditing the soil environment monitoring data set based on the preliminary auditing result to obtain a data verification and auditing result; and performing comprehensive auditing on the soil environment monitoring data set in combination with the preliminary auditing result and the data verification auditing result to complete soil environment monitoring data auditing. According to the method, the soil environment monitoring data set is constructed, the accuracy and consistency of the soil environment monitoring data are deeply analyzed through pre-auditing and verification auditing, the accuracy and credibility of the auditing result are improved through comprehensive auditing, and a solid technical support is provided for scientific auditing of the soil environment monitoring data and soil environment treatment.

Description

Technical Field

[0001] The present invention relates to the field of environmental data analysis, and in particular to a soil environment monitoring data auditing method and system. Background Art

[0002] With the accelerated advancement of industrialization and urbanization, soil pollution problems are becoming increasingly serious, posing a serious threat to the ecological environment and human health. In order to effectively monitor and evaluate soil environmental quality, a soil environmental monitoring system is established. Through regular or irregular monitoring activities, a large amount of soil environmental monitoring data is collected. The accuracy and reliability of the data are directly related to subsequent environmental protection decisions and soil governance. Therefore, it is particularly important to conduct strict review of soil environmental monitoring data.

[0003] Traditional soil environmental monitoring data review methods mainly rely on manual review, which requires a lot of time and human resource costs, and is easily affected by human factors, making it difficult to ensure the accuracy and fairness of the soil environmental monitoring data review results; with the rapid development of modern information technology, big data, cloud computing and artificial intelligence technologies have gradually been widely used, providing new technical means and solutions for soil environmental monitoring data review.

[0004] The soil environment monitoring data audit method and system based on modern information technology can realize the preliminary audit and quality assessment of soil environment monitoring data by building an intelligent data quality assessment model; further verify and audit the soil monitoring data to realize data verification and assessment; and build an audit knowledge base to conduct a comprehensive audit of soil monitoring data; thereby ensuring the accuracy and reliability of soil monitoring data, providing scientific data support for soil environmental protection decision-making, and promoting the widespread application and development of modern information technology in the field of environmental data analysis. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides a soil environment monitoring data audit method and system.

[0006] In order to achieve the above-mentioned purpose, in the first aspect, the present invention provides a method for reviewing soil environment monitoring data, the method comprising the following steps: constructing a soil environment monitoring data set of a target area; pre-reviewing the soil environment monitoring data set to obtain a preliminary review result of the soil environment monitoring data set; verifying and reviewing the soil environment monitoring data set based on the preliminary review result to obtain a data verification review result; and conducting a comprehensive review of the soil environment monitoring data set in combination with the preliminary review result and the data verification review result to complete the review of soil environment monitoring data. The present invention constructs a soil environment monitoring data set to provide data support for soil environmental protection and governance; verifies the reliability of the soil environment monitoring data set through a pre-review; verifies and reviews the monitoring data based on the preliminary review result, deeply examines the accuracy and consistency of the data, and effectively reduces the risk of data errors; conducts a comprehensive review in combination with the preliminary review and the data verification review, thereby improving the accuracy and credibility of the soil environment monitoring data and providing an effective data basis for the scientific assessment, reasonable planning and effective governance of the soil environment.

[0007] Optionally, the construction of the soil environment monitoring data set of the target area includes: obtaining the soil environment monitoring data of the target area; performing data preprocessing on the soil environment monitoring data to obtain the soil environment monitoring standard data of the target area; performing data fusion on the soil environment monitoring standard data to obtain the soil environment monitoring data set of the target area. The present invention obtains the soil environment monitoring data of the target area and converts it into standard data through data preprocessing, thereby improving the comparability and accuracy of the data; uses data fusion to integrate multi-dimensional soil environment monitoring data to obtain a comprehensive and integrated soil environment monitoring data set; enhances the representation and integrity of the monitoring data, provides data support for subsequent data analysis and review of soil environment monitoring data, and provides complete data support for soil environment protection decision-making.

[0008] Optionally, the acquisition of soil environmental monitoring data of the target area includes: constructing a soil sampling monitoring plan for the target area, the soil sampling monitoring plan including sampling locations, sampling depth and sampling frequency; sampling and monitoring the target area based on the soil sampling monitoring plan to obtain the soil environmental monitoring data. The present invention rationally constructs a soil sampling monitoring plan to ensure that the sampling locations are comprehensive, the sampling depth and sampling frequency are appropriately set, and effectively improves the representativeness and accuracy of the soil environmental monitoring data; the soil environmental monitoring data obtained based on the soil sampling monitoring plan covers the soil physical property data, soil chemical property data and soil biological property data of the target area, providing detailed data support for the comprehensive review of soil environmental monitoring data; it helps to timely discover soil environmental problems and provides a reference basis for formulating targeted soil protection measures.

[0009] Optionally, the preliminary audit of the soil environment monitoring data set to obtain the preliminary audit result of the soil environment monitoring data set includes: constructing a data quality assessment model for the soil environment monitoring data set; and performing data quality assessment on the soil environment monitoring data set according to the data quality assessment model to obtain the preliminary audit result. The present invention constructs a data quality assessment model, provides a systematic quality assessment model for soil environment monitoring data, and performs data quality assessment according to the data quality assessment model, which can comprehensively identify anomalies in the data and obtain preliminary audit results; ensures the accuracy and reliability of subsequent soil environment monitoring data audits, and improves the efficiency of soil environment monitoring data audits.

[0010] Optionally, constructing the data quality assessment model of the soil environment monitoring data set includes: establishing audit and assessment content of the data quality assessment, the audit and assessment content includes data integrity, data accuracy and data standardization; based on the audit and assessment content, in combination with the soil environment monitoring data set, constructing the data quality assessment model, the data quality assessment model includes: in, is the data quality assessment indicator, Represents function modeling, To fuse the data, is the weight coefficient of the data integrity score, is the data integrity score, is the weight coefficient of the data accuracy score, is the data accuracy score, is the weight coefficient of the data standardization score, The data quality score is the data standardization score. The present invention provides clear standards and basis for building a data quality assessment model by clarifying data integrity, data accuracy and data standardization as the audit and evaluation content. The data quality assessment model can comprehensively and accurately measure the quality status of the soil environment monitoring data set; it enhances the systematicness and scientificity of data quality assessment, improves the reliability of data processing, and provides important guarantees for the effective use of soil environment monitoring data.

[0011] Optionally, the verification and audit of the soil environment monitoring data set based on the preliminary audit result to obtain a data verification and audit result includes: conducting a cross-temporal and spatial consistency verification and audit on the soil environment monitoring data set to obtain a consistency verification and audit result; conducting a multi-indicator correlation verification and audit on the soil environment monitoring data set to obtain a correlation verification and audit result; and constructing a data verification and audit result by combining the consistency verification and audit result with the correlation verification and audit result. The present invention can deeply discover potential problems in the data by performing a cross-temporal and spatial consistency verification and a multi-indicator correlation verification on the soil environment monitoring data set, thereby ensuring the consistency and rationality of the data, constructing a data verification and audit result, and providing an effective reference basis for the comprehensive audit of soil environment monitoring data; it not only improves the comprehensiveness and accuracy of data verification, but also helps to timely discover and correct data errors, providing strong support for the audit of soil environment monitoring data.

[0012] Optionally, performing a multi-indicator correlation verification audit on the soil environment monitoring data set to obtain a correlation verification audit result includes: performing feature analysis on the soil environment monitoring data set to obtain key indicators of soil environment monitoring; based on the key indicators of soil environment monitoring, building a multi-indicator correlation verification model in combination with the soil environment monitoring data set, the multi-indicator correlation verification model includes: in, is the correlation verification indicator, and These are the data values ​​of two key indicators of soil environment monitoring. It means taking the minimum difference of key indicators of soil environment monitoring. is the correlation resolution coefficient, It means taking the maximum difference of key indicators of soil environment monitoring. is the weight control coefficient, and The data mean of two key indicators of soil environment monitoring; according to the multi-indicator correlation verification model, the correlation verification audit result is obtained based on the soil environment monitoring data set. The present invention accurately identifies key indicators by performing feature analysis on the soil environment monitoring data set, providing an important basis for building a multi-indicator correlation verification model. The multi-indicator correlation verification model can deeply reveal the internal connection between each indicator, thereby effectively verifying the logical consistency and rationality of the data; it enhances the pertinence and effectiveness of data verification, improves the scientificity and accuracy of data quality assessment, and provides strong technical support for the audit of soil environment monitoring data.

[0013] Optionally, the soil environment monitoring data set is comprehensively audited in combination with the preliminary audit results and the data verification audit results to complete the soil environment monitoring data audit, including: constructing a soil environment monitoring data audit knowledge base; combining the preliminary audit results and the data verification audit results, and comprehensively auditing the soil environment monitoring data set according to the soil environment monitoring data audit knowledge base. The present invention constructs a soil environment monitoring data audit knowledge base, provides comprehensive and systematic support for soil environment monitoring data audit, combines preliminary audit results and data verification audit results, and comprehensively audits soil environment monitoring data according to the knowledge base, which can ensure the comprehensiveness and accuracy of data audit, improve the efficiency and scientificity of soil environment monitoring data audit, help to timely discover potential problems in soil monitoring data, provide important guarantees for the audit of soil environment monitoring data, and enhance the reliability of soil environment monitoring data.

[0014] Optionally, the construction of the soil environment monitoring data audit knowledge base includes: establishing a comprehensive audit standard for the soil environment monitoring data set; combining the soil environment monitoring data set, and constructing the soil environment monitoring data audit knowledge base according to the comprehensive audit standard. The present invention establishes a comprehensive audit standard for the soil environment monitoring data set, provides clear and unified guiding principles for data audit work, and constructs a data audit knowledge base in combination with the data set, which not only systematically organizes the professional knowledge related to the audit, but also ensures the consistency and standardization of the audit process; improves the efficiency and accuracy of data audit, provides a solid foundation for the audit of soil environment monitoring data, and helps to ensure the reliability and application value of the data.

[0015] In the second aspect, the present invention provides a soil environment monitoring data audit system, the system executes the soil environment monitoring data audit method provided by the present invention, the system includes an input device, an output device, a processor and a memory, and its gain lies in: the hardware facilities integrated by the present invention have excellent performance, the input device, the output device, the processor and the memory are interconnected, the information transmission between the various components is smooth, and an efficient information processing system is constructed through the interaction of multiple hardware facilities. The soil environment monitoring data audit system provided by the present invention constructs an efficient information processing platform by integrating high-performance hardware facilities; the system not only improves the speed and efficiency of data audit, but also enhances the stability and reliability of data processing, and the various hardware facilities work together to make the entire audit method process smoother, providing strong hardware facility support for the accurate audit of soil environment monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flow chart of a soil environment monitoring data audit method according to an embodiment of the present invention; Figure 2 The present invention is a framework diagram of a soil environment monitoring data audit system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0018] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0019] See also Figure 1 An embodiment of the present invention provides a soil environment monitoring data review method and system, the method comprising the following steps: S1. Construct a soil environment monitoring dataset for the target area.

[0020] Among them, S1 specifically includes the following steps: S11, obtaining soil environment monitoring data of the target area.

[0021] Among them, S11 specifically includes the following steps: S111. Construct a soil sampling monitoring plan for the target area, wherein the soil sampling monitoring plan includes a sampling location, a sampling depth, and a sampling frequency.

[0022] Specifically, the sampling location is determined; first, a detailed survey is conducted on the target area to understand the soil type, topography and land use, so as to select representative sampling locations; then, the number of sampling locations is determined according to the size of the plot, the degree of soil variation and the monitoring target, to ensure that the sampling locations are evenly distributed and can fully reflect the soil characteristics. When arranging the sampling locations, human interference and the influence of special terrain should be avoided to improve the representativeness of the samples; finally, the number and surrounding environment information of each sampling location are clarified to provide accurate guidance for subsequent sampling work. Ensure the scientificity, rationality and practicality of the sampling locations.

[0023] Specifically, the sampling depth is determined; first, the soil characteristics of the target area are clarified, including the distribution of crop roots and soil profile levels; then, a reasonable sampling depth range is preliminarily set according to monitoring needs; subsequently, through field investigations and soil profile analysis, soil pollution or variation is comprehensively analyzed, the sampling depth is further verified and adjusted, and it is evaluated whether the background point sampling depth meets the technical requirements for sampling of the occurrence layer, so as to ensure the sampling depth is targeted and accurate, and can cover key soil layers and reflect the true status of soil quality.

[0024] Specifically, the sampling frequency is determined; first, the monitoring objectives are clarified; then, the sampling frequency is preliminarily set by comprehensively considering changes in environmental conditions, soil self-purification capacity, and seasonal climate changes; then, adjustments are made based on actual conditions through historical data analysis and on-site inspections; at the same time, the monitoring cycle and timeliness factors are considered to ensure that the sampling frequency meets the monitoring requirements while being economical and operational, and finally the sampling frequency is determined.

[0025] It should be noted that when sampling is not possible on site or the sampling site cannot be reached, it is determined whether offset sampling or postponed sampling is needed; in addition, when there are obvious problems with the standardization of the sampling operation, which affects the quality of soil monitoring data, the sampling is deemed invalid; including but not limited to incorrect sampling depth, sampling location within the quality control range but in the wrong area such as near roads or enterprises, or sampling on agricultural land shortly after fertilization and pesticide spraying; in addition, the sampling location adjustment complies with relevant requirements, the sampling operation is standardized, and the sampling is deemed valid; if there are special weather influences such as rainfall, typhoons, floods, etc. during the sampling period, which cannot be avoided within the prescribed sampling period, if the sampling operation is standardized, the sampling is deemed valid.

[0026] S112: Perform sampling and monitoring on the target area based on the soil sampling and monitoring plan to obtain the soil environment monitoring data.

[0027] In this embodiment, according to the soil sampling monitoring plan, soil sampling equipment is used to sample the target area to obtain soil samples, and impurities in the soil samples are removed to facilitate physical, chemical and biological analysis of the soil samples.

[0028] Specifically, the physical property data of the soil are obtained through physical analysis methods, the natural water content and maximum water absorption capacity of the soil samples are determined by the drying method; the bulk density and density of the soil samples are determined; and the particle composition and content of the soil samples are determined by the screening method.

[0029] Specifically, the chemical properties of the soil are obtained through chemical analysis methods, and the pH of the soil samples is determined using electrochemical analysis methods; the organic composition and content of the soil samples are determined through spectral analysis methods, and the pollutant composition and content in the soil samples are analyzed.

[0030] Specifically, biological property data of soil are obtained through bioanalysis methods, the composition of microbial communities in soil samples is analyzed using molecular biology techniques, and enzyme activity in soil samples is measured to evaluate the biological quality of soil.

[0031] It should be noted that relevant test analysis must be carried out within the effective storage period of the soil sample to ensure the stability and accuracy of the test results. When the soil sample does not meet the analysis requirements, re-sampling is required.

[0032] S12: Preprocess the soil environment monitoring data to obtain soil environment monitoring standard data for the target area.

[0033] In this embodiment, anomaly detection is performed on the soil environment monitoring data, outliers that are obviously beyond the normal range are removed, the median of non-outliers is used to fill the missing values, and normalization is performed. The normalization satisfies the following relationship: in, is the normalized standard data, For soil environmental monitoring data, is the minimum value of soil environmental monitoring data, It is the maximum value of soil environment monitoring data.

[0034] S13, fusing the soil environment monitoring standard data to obtain a soil environment monitoring data set for the target area.

[0035] In an optional embodiment, based on the weighted average method, the normalized standard data is evaluated for reliability to obtain a weight coefficient, and the soil environment monitoring standard data is fused using the weight coefficient to construct a soil environment monitoring data set, and the data fusion satisfies the following relationship: in, To fuse the data, is the total amount of data, is the traversal count flag, is the weight coefficient of the data, is the normalized standard data.

[0036] S2. Preliminary review of the soil environment monitoring data set is performed to obtain a preliminary review result of the soil environment monitoring data set.

[0037] Among them, S2 specifically includes the following steps: S21. Construct a data quality assessment model for the soil environment monitoring data set.

[0038] Among them, S21 specifically includes the following steps: S211. Establish the audit and evaluation content of the data quality assessment, and the audit and evaluation content includes data integrity, data accuracy and data standardization.

[0039] Specifically, the audit and assessment content of data quality assessment is established, mainly including three aspects: data integrity, data accuracy and data standardization. It covers checking the filling status of all required fields to ensure no omissions, comparing data with historical records or industry standards to verify accuracy, using statistical methods to detect and handle outliers, verifying the consistency of data formats and standards, and checking data synchronization, to provide guiding support for the preliminary assessment and audit of data quality.

[0040] S212: Based on the audit and evaluation content, the data quality assessment model is constructed in combination with the soil environment monitoring data set.

[0041] Specifically, according to the audit and evaluation content combined with the weight coefficient, a data quality evaluation model is obtained by performing function modeling based on the fusion data of soil monitoring data, and the function modeling satisfies the following relationship: in, is the data quality assessment indicator, Represents function modeling, To fuse the data, is the weight coefficient of the data integrity score, is the data integrity score, is the weight coefficient of the data accuracy score, is the data accuracy score, is the weight coefficient of the data standardization score, is the data normative score.

[0042] S22. Performing data quality assessment on the soil environment monitoring data set according to the data quality assessment model to obtain a preliminary review result.

[0043] In this embodiment, the soil environment monitoring data set is used as the model input of the data quality assessment model, and the data integrity, data accuracy and data standardization are detected by the built-in algorithm of the data quality assessment model to obtain the audit content assessment result, thereby obtaining the data quality assessment index as the model output of the data quality assessment model.

[0044] Furthermore, preliminary audit results of soil environmental monitoring data are obtained by combining the audit content assessment results and data quality assessment indicators; the preliminary audit results include but are not limited to missing values, outliers and format errors, and corresponding improvement measures are generated to provide important reference for subsequent data processing, analysis and decision-making.

[0045] S3. Based on the preliminary audit result, the soil environment monitoring data set is verified and audited to obtain a data verification and audit result.

[0046] Among them, S3 specifically includes the following steps: S31. Perform a cross-temporal and spatial consistency check on the soil environment monitoring data set to obtain a consistency check result.

[0047] In this embodiment, the soil environment monitoring data set is firstly matched in time and space to ensure that the data is comparable in time and space, and then a cross-time and space consistency check function is constructed to perform consistency check on the soil environment monitoring data set to obtain a consistency check audit result. The cross-time and space consistency check function satisfies the following relationship: in, is an indicator of consistency across time and space, The total amount of time consistency verification data, is the traversal count flag, is the time consistency weight coefficient, For in time The data value on For in time The data value on is the total amount of spatial consistency check data, is the traversal count flag, is the spatial consistency weight coefficient, For the location The data value on For the location The data value on .

[0048] S32, performing a multi-indicator correlation verification and audit on the soil environment monitoring data set to obtain a correlation verification and audit result.

[0049] Wherein, S32 specifically includes the following steps: S321. Perform feature analysis on the soil environment monitoring data set to obtain key indicators for soil environment monitoring.

[0050] In this embodiment, statistical feature extraction is performed on the soil environment monitoring data set, and the time trend characteristics and spatial distribution characteristics of the soil environment monitoring data are analyzed. Then, the correlation coefficients between the various features are calculated through the algorithm embedded in the processor to obtain the strongly correlated data features in the soil environment monitoring indicators. The importance of each feature is evaluated using a machine learning algorithm to obtain an importance evaluation index. At the same time, the importance evaluation index is sorted to obtain a sorting result. According to the sorting result, the key indicators of soil environment monitoring are obtained, and the key indicators of soil environment monitoring include soil bulk density, organic matter composition and content, and pollutant composition and content.

[0051] S322: Based on the key indicators of soil environment monitoring and in combination with the soil environment monitoring data set, a multi-indicator correlation verification model is constructed.

[0052] Specifically, the key indicators of soil environment monitoring are used as the model input of the multi-indicator correlation verification model, and the correlation degree of the key indicators of soil environment monitoring is used as the model output. The multi-indicator correlation verification model is constructed by using the correlation verification analysis method, and the multi-indicator correlation verification model is trained using historical data to improve the accuracy and generalization ability of the model, and cross-validation is used to prevent the model from overfitting. The multi-indicator correlation verification model satisfies the following relationship: in, is the correlation verification indicator, and These are the data values ​​of two key indicators of soil environment monitoring. It means taking the minimum difference of key indicators of soil environment monitoring. is the correlation resolution coefficient, It means taking the maximum difference of key indicators of soil environment monitoring. is the weight control coefficient, and It is the data mean of the two key indicators of soil environment monitoring.

[0053] S323. According to the multi-index correlation verification model, the correlation verification audit result is obtained based on the soil environment monitoring data set.

[0054] In this embodiment, first, the soil environment monitoring data set is input into the multi-indicator correlation verification model; then, the multi-indicator correlation verification model calculates and analyzes the correlation between the indicators according to the preset algorithm and formula, and reveals the potential correlation between the key indicators of soil environment monitoring; finally, the multi-indicator correlation verification model outputs the correlation verification indicator, and then obtains the correlation verification audit result, which includes the correlation matrix, correlation coefficient or classification label between the indicators, which is used to evaluate the intrinsic correlation of the soil environment monitoring data set, and provides technical support for in-depth analysis of the correlation of soil environment monitoring data.

[0055] S33: Construct a data verification audit result by combining the consistency verification audit result and the relevance verification audit result.

[0056] In this embodiment, first, a comprehensive analysis is performed on the consistency check audit results and the correlation check audit results, and the temporal and spatial stability of the data revealed by the consistency check is compared with the intrinsic correlation between the indicators shown by the correlation check, so as to ensure the coherence of the data in the temporal and spatial dimensions and the logical consistency between the indicators; secondly, a weight allocation method is used to assign corresponding weights to each verification result according to its importance in the data quality assessment, so as to accurately reflect the overall quality status of the data in the comprehensive analysis; finally, a comprehensive evaluation is performed based on the weighted sum algorithm, and the consistency check audit results and the correlation check audit results are integrated into a unified data verification audit result, which comprehensively reflects the quality status of the soil environment monitoring data set and provides a scientific basis for subsequent data use and management.

[0057] S4. Conduct a comprehensive review of the soil environment monitoring data set in combination with the preliminary review results and the data verification review results to complete the soil environment monitoring data review.

[0058] Wherein, S4 specifically includes the following steps: S41. Build a knowledge base for soil environmental monitoring data review.

[0059] Wherein, S41 specifically includes the following steps: S411. Establish comprehensive review standards for the soil environment monitoring data set.

[0060] In an optional embodiment, the comprehensive audit standards are ensured to be authoritative and applicable based on the industry standards and technical specifications for the audit of soil environmental monitoring data; specific comprehensive audit standards are established based on the characteristics and needs of soil environmental monitoring data, and the comprehensive audit standards include data range checks, outlier identification, logical consistency verification, and data rationality verification; then, through actual operation verification and guidance from professional experience in the industry, the comprehensive audit standards are further revised and improved to ensure the scientific nature and operability of the comprehensive audit standards; and comprehensive and systematic reference support is provided for the audit of soil environmental monitoring data sets.

[0061] S412: In combination with the soil environment monitoring data set, the soil environment monitoring data audit knowledge base is constructed according to the comprehensive audit standard.

[0062] In this embodiment, firstly, according to the comprehensive audit standards, the laws and regulations, industry standards, technical specifications and audit methods related to soil environment monitoring are sorted and classified to form a systematic knowledge framework; secondly, for each audit standard, its definition, calculation formula, judgment basis, common problems and solutions are recorded in detail to form specific audit knowledge points; then, the audit knowledge points are digitally stored and structured using database technology to facilitate rapid retrieval and intelligent application; at the same time, a knowledge base update mechanism is established to regularly collect and analyze new soil environment monitoring data audit cases, research results and technological progress, dynamically supplement and optimize the knowledge base, and provide strong knowledge base support for soil environment monitoring data audit work.

[0063] Specifically, the soil environment monitoring data review knowledge base includes a reference range for physical and chemical project monitoring data, a reference range for heavy metal pollutant monitoring data, and a reference range for organic pollutant monitoring data.

[0064] Furthermore, the physical and chemical items include pH value, organic matter and cation exchange capacity, and their reference ranges and key audit scopes are shown in Table 1: Table 1: Reference range of monitoring data for physical and chemical items Further, referring to the "Soil Environmental Quality Agricultural Land Soil Pollution Risk Control Standard" (GB15618-2018), heavy metal pollutants include 8 heavy metal pollutants in GB15618: cadmium, mercury, arsenic, lead, chromium, copper, zinc, and nickel. The reference range and key audit scope are shown in Table 2: Table 2: Reference range of heavy metal pollutant monitoring data Furthermore, organic pollutants refer to the total amount of hexachlorocyclohexane, the total amount of DDT and benzo[a]pyrene in GB15618. The reference range and key audit scope are shown in Table 3: Table 3: Reference range of organic pollutant monitoring data S42: Combining the preliminary review result and the data verification review result, a comprehensive review of the soil environment monitoring data set is performed based on the soil environment monitoring data review knowledge base.

[0065] In this embodiment, first, the abnormal data points identified in the preliminary review are compared and analyzed with the potential errors found in the data verification review to confirm the authenticity and scope of the problem; then, based on the relevant standards and methods in the soil environment monitoring data review knowledge base, the problem data is deeply evaluated to determine whether it meets the data quality requirements; on this basis, for the data confirmed to have problems, it is corrected or eliminated according to the solutions or suggestions provided in the knowledge base; at the same time, the key information and processing decisions in the review process are recorded to form an audit report; finally, the data set that has undergone comprehensive review is sorted and archived to ensure the accuracy and reliability of the soil environment monitoring data review.

[0066] Furthermore, the soil environmental monitoring data that have passed the review will be finally confirmed and integrated into the database, and the data will be managed. In addition, the sampling locations of the invalid data determined by the review at each link will be included in the re-test points, and monitoring and review work will need to be carried out again.

[0067] See also Figure 2 In an optional embodiment, in order to efficiently execute the soil environment monitoring data audit method provided by the present invention, the present invention provides a soil environment monitoring data audit system, the system includes an input device, an output device, a processor and a memory, the hardware facilities are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the specific steps of the relevant embodiments of the soil environment monitoring data audit method provided by the present invention. The soil environment monitoring data audit system provided by the present invention has a complete structure, objective and stable, and improves the overall applicability and practical application ability of the present invention.

[0068] In summary, the method and system for reviewing soil environment monitoring data provided by the method of the present invention constructs a comprehensive and accurate soil environment monitoring data set, providing solid data support for the review of soil environment monitoring data and subsequent soil environment protection and governance work; a pre-review link is introduced to ensure the basic reliability of the data by preliminary verification of the soil environment monitoring data set; then, based on the preliminary review results, the monitoring data is further verified and reviewed, and the accuracy and consistency of the data are deeply tested, thereby reducing the risk of data errors; finally, the results of the preliminary review and the data verification review are combined, and a comprehensive review is conducted to improve the accuracy and credibility of the soil environment monitoring data. The method of the present invention is easy to understand, simple to calculate, small in workload, and convenient for engineering application, providing a theoretical basis and technical support for the further development of the field of environmental data analysis.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A soil environment monitoring data audit method, characterized in that: The steps include: Construct soil environmental monitoring datasets in target areas; Preliminary review of the soil environment monitoring data set is performed to obtain a preliminary review result of the soil environment monitoring data set; Based on the preliminary audit result, the soil environment monitoring data set is verified and audited to obtain a data verification and audit result; Combine the preliminary review results and the data verification review results to conduct a comprehensive review of the soil environment monitoring data set to complete the soil environment monitoring data review.

2. The soil environment monitoring data audit method according to claim 1, characterized in that: The step of constructing a soil environment monitoring dataset for a target area includes: Acquiring soil environmental monitoring data of the target area; Performing data preprocessing on the soil environment monitoring data to obtain soil environment monitoring standard data of the target area; The soil environment monitoring standard data is fused to obtain the soil environment monitoring data set of the target area.

3. The soil environment monitoring data audit method according to claim 2, characterized in that: The step of obtaining soil environment monitoring data of the target area includes: Constructing a soil sampling monitoring plan for the target area, wherein the soil sampling monitoring plan includes sampling locations, sampling depths, and sampling frequencies; The soil environment monitoring data is obtained by sampling and monitoring the target area based on the soil sampling and monitoring plan.

4. The soil environment monitoring data audit method according to claim 1, characterized in that: The preliminary review of the soil environment monitoring data set to obtain the preliminary review result of the soil environment monitoring data set includes: Constructing a data quality assessment model for the soil environment monitoring data set; The soil environment monitoring data set is evaluated for data quality based on the data quality assessment model to obtain preliminary review results.

5. The soil environment monitoring data audit method according to claim 4, characterized in that: The step of constructing a data quality assessment model for the soil environment monitoring data set includes: Establishing the audit and evaluation content of the data quality assessment, wherein the audit and evaluation content includes data integrity, data accuracy and data standardization; Based on the audit and evaluation content, the data quality assessment model is constructed in combination with the soil environment monitoring data set. The data quality assessment model includes: in, is the data quality assessment indicator, Represents function modeling, To fuse the data, is the weight coefficient of the data integrity score, is the data integrity score, is the weight coefficient of the data accuracy score, is the data accuracy score, is the weight coefficient of the data standardization score, is the data normative score.

6. The soil environment monitoring data audit method according to claim 1, characterized in that: The verifying and auditing the soil environment monitoring data set based on the preliminary audit result to obtain a data verification and audit result includes: Conducting a cross-temporal and spatial consistency check on the soil environment monitoring data set to obtain a consistency check result; Performing a multi-indicator correlation verification and audit on the soil environment monitoring data set to obtain a correlation verification and audit result; The data verification audit result is constructed by combining the consistency verification audit result and the relevance verification audit result.

7. The soil environment monitoring data audit method according to claim 6, characterized in that: The step of performing a multi-indicator correlation verification and audit on the soil environment monitoring data set to obtain a correlation verification and audit result includes: Performing feature analysis on the soil environment monitoring data set to obtain key indicators of soil environment monitoring; Based on the key indicators of soil environment monitoring, a multi-indicator correlation verification model is constructed in combination with the soil environment monitoring data set. The multi-indicator correlation verification model includes: in, is the correlation verification indicator, and These are the data values ​​of two key indicators of soil environment monitoring. It means taking the minimum difference of key indicators of soil environment monitoring. is the correlation resolution coefficient, It means taking the maximum difference of key indicators of soil environment monitoring. is the weight control coefficient, and It is the data mean of two key indicators of soil environment monitoring; According to the multi-index correlation verification model, the correlation verification audit result is obtained based on the soil environment monitoring data set.

8. The soil environment monitoring data audit method according to claim 1, characterized in that: The step of conducting a comprehensive review of the soil environment monitoring data set in combination with the preliminary review results and the data verification review results to complete the soil environment monitoring data review includes: Build a knowledge base for soil environmental monitoring data review; In combination with the preliminary audit results and the data verification audit results, the soil environment monitoring data set is comprehensively audited based on the soil environment monitoring data audit knowledge base.

9. The soil environment monitoring data audit method according to claim 8, characterized in that: The construction of the soil environment monitoring data review knowledge base includes: Establish comprehensive review criteria for the soil environmental monitoring data set; In combination with the soil environment monitoring data set, the soil environment monitoring data audit knowledge base is constructed according to the comprehensive audit standard.

10. A soil environment monitoring data review system, characterized in that: The system includes an input device, an output device, a processor and a memory, wherein the input device, the output device, the processor and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the soil environment monitoring data audit method according to any one of claims 1 to 9.

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