Soil sample screening method with automated sampling and separation

Abstract

The present application relates to a method for screening soil samples with automated sampling and separation, comprising the following steps: using a handheld terminal to input a soil stratification data group, sampling point number, sampling time, and information on whether to collect parallel samples in a soil core tube; performing heavy metal detection and volatile organic compound detection on the soil core samples of each soil layer, respectively, to generate a number of heavy metal and volatile organic compound detection data groups of fixed segmented soil core samples; importing the heavy metal detection data group, volatile organic compound detection data group, soil stratification data group, and soil core sample fixed segmented data group into a data analysis element of the handheld terminal, substituting the above data groups into a preset mathematical model, and calculating the depth data group of the fixed segmented soil core sample. No manual recording is required, which solves the problem of large amount of soil core sample detection data, error-prone and low efficiency of manual on-site comparative analysis in the soil sampling depth link.

Description

Technical Field

[0001] The present application relates to the technical field of soil detection, and in particular to a method for screening soil samples by automated sampling, testing and separation. Background Art

[0002] The current soil environmental pollution investigation work is divided into two stages. The first stage is data collection, personnel interviews, on-site investigation and pollution identification analysis, and the second stage is on-site sampling, laboratory analysis, data analysis and preparation of investigation reports. In the on-site sampling process, the soil core tube is first taken out by mechanical drilling, and then the soil core tube is segmented. A small amount of soil core samples are collected from each section for rapid detection by the rapid screening monitoring equipment, and the rapid screening test data are obtained for comparative analysis. Then, the depth represented by several soil core samples is determined as the depth for collecting formal soil samples in combination with the soil layer stratification depth, and samples are collected and sample numbers are formed. The current operation method is to manually use handheld rapid screening equipment (XRF rapid screening test and PID rapid screening test) to perform segmented detection of soil core samples, record the test data, and conduct longitudinal comparison. The sampling depth is determined in combination with the soil screening value and the soil layer stratification depth. After collecting the sample, the sample number and parallel sample number are compiled by the user, and the sample information is recorded. XRF rapid screening test needs to detect 11 kinds of heavy metals for each soil core sample, and at least 9 soil core samples need to be tested at each point. The amount of data generated is large. When the samples with higher data are selected for manual longitudinal comparison and analysis on site, errors are prone to occur and the efficiency is low. Summary of the invention

[0003] Based on this, it is necessary to provide an automated soil sample screening method with separated sampling and testing to address the above-mentioned technical problems, which can solve the problem of large amount of soil core sample detection data and error-prone and low efficiency of manual on-site comparative analysis in the soil sampling depth link.

[0004] A soil sample screening method for automated sampling and separation, the method comprising:

[0005] Use the handheld terminal to input the soil stratification data group in the soil core tube, sampling point number, sampling time, and whether to collect parallel samples;

[0006] The soil core samples of each soil layer are respectively subjected to heavy metal detection and volatile organic compound detection of fixed segmented soil core samples, and a plurality of heavy metal and volatile organic compound detection data sets of fixed segmented soil core samples are generated;

[0007] The heavy metal detection data group, the volatile organic compound detection data group, the soil stratification data group and the fixed segmentation data group of soil core samples are imported into the data analysis element of the handheld terminal, and the above data groups are substituted into the preset mathematical model to calculate the depth data group of the fixed segmentation soil core samples represented by the maximum value under a certain weight ratio in the set of heavy metal detection data groups of soil core samples and volatile organic compound detection data groups divided based on the soil stratification data group.

[0008] In one of the embodiments, the soil stratification data set includes three soil layer depth data, which are used to divide the soil core sample into four soil layers.

[0009] In one embodiment, the fixed segmented data group of the soil core sample consists of nine small segments below the ground surface: 0-0.5m, 0.5-1.0m, 1.0-1.5m, 1.5-2.0m, 2.0-2.5m, 2.5-3.0m, 3.0-4.0m, 4.0-5.0m, and 5.0-6.0m.

[0010] In one embodiment, the heavy metals are detected by a portable XRF analyzer.

[0011] In one embodiment, the volatile organic compounds are detected by a portable PID detector.

[0012] In one embodiment, the heavy metal detection data set, the volatile organic compound detection data set, the soil stratification data set and the soil core sample fixed segmentation data set are imported into the data analysis element of the handheld terminal, the above data sets are substituted into a preset mathematical model, and the depth data set of the fixed segmented soil core sample represented by the maximum value under a certain weight ratio in the set of the soil core sample heavy metal detection data set and the volatile organic compound detection data set divided based on the soil stratification data set is calculated, including:

[0013] Obtain a heavy metal detection data set and a volatile organic compound detection data set of each small section of soil core sample in each soil layer, and obtain a maximum value of heavy metal detection data and a maximum value of volatile organic compound detection data of each small section of soil core sample in each soil layer;

[0014] According to the maximum value of heavy metal detection data and volatile organic compound detection data of each small section of soil core sample in each soil layer combined with the heavy metal screening weight ratio, the maximum value of heavy metal detection data and volatile organic compound detection data of each small section corresponding to each soil layer after heavy metal screening weight ratio is calculated;

[0015] According to the number of soil core sample segments corresponding to the maximum value of the heavy metal detection data and volatile organic compound detection data of each small section corresponding to each soil layer after weighted ratio, they are substituted into the preset mathematical model to obtain the soil core sample segment depth corresponding to the maximum value, which is the formal soil sample sampling depth of each layer. The formal soil sample sampling depths of all the four soil layers are combined to obtain the formal soil sample sampling depth data group.

[0016] In one embodiment, the heavy metal screening weight ratio includes:

[0017]

[0018] In the formula, Bi is the national soil background value of the i-th heavy metal, Ci is the screening value of the soil pollution risk of the construction land for the i-th heavy metal, Di is the control value of the soil pollution risk of the construction land for the i-th heavy metal, and Ei is the average value of the general rapid screening concentration of the i-th heavy metal.

[0019] In one embodiment, the preset mathematical model includes:

[0020] It is given that x is a positive integer and x ∈ [1, 9];

[0021] When x ≤ 6, y(x) = 0.5 * x; when 6 < x ≤ 9, y(x) = x - 3;

[0022] In the formula, x represents the number of segments of a small core sample, and y(x) represents the end depth of the small core sample corresponding to x.

[0023] In one embodiment, the method further includes combining the sampling depth data group with the input sampling point number, sampling time information, and information on whether parallel samples are collected and importing them into an automatic coding element, and the automatic coding element randomly generates a sample number.

[0024] In one embodiment, the method further includes the automatic coding element transmitting the sampling point number, sampling time information, information on whether parallel samples are collected, and the sample number correspondence rule to the management end, and connecting a printer at the lower end to print a sample label, and the sample label includes the sample number and sampling date information.

[0025] The above-mentioned automated soil sample screening method for separation of sampling and testing, by inputting the soil layer data group in the core tube, preliminarily dividing the soil depth in the core tube, and then further distinguishing the depth of the soil obtained from the core tube on the basis of the soil layer data group to obtain a fixed segmented data group of core samples. Heavy metals and volatile organic compounds are detected for each small core sample to obtain a set of detection data divided on the basis of the core sample segmented data group. According to this set and the soil layer data group, the maximum value in the core sample data set divided on the basis of the soil layer data group can be calculated according to a certain weight ratio, and substituting it into the preset mathematical model can obtain the sampling depth data group of the formal soil samples, without manual recording, solving the problems of easy error and low efficiency in manual on-site comparison and analysis due to the large amount of core sample detection data in the soil sampling depth link. Description of the Drawings

[0026] Figure 1 It is a step diagram of the soil sample screening method for an embodiment;

[0027] Figure 2 It is a schematic diagram of the soil layer structure for an embodiment;

[0028] Figure 3 A step diagram of a soil sample screening method according to another embodiment. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] It should be noted that when a component is referred to as being "fixed to" or "disposed on" another component, it may be directly on the other component or there may also be a central component. When a component is considered to be "connected to" another component, it may be directly connected to the other component or there may be a central component at the same time. The terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in the specification of this application are for illustrative purposes only and do not represent the only implementation method.

[0031] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0032] In the present application, unless otherwise clearly specified and limited, a first feature being “above” or “below” a second feature may mean that the first feature is directly in contact with the second feature, or the first feature and the second feature are indirectly in contact through an intermediate medium. Moreover, a first feature being “above”, “above” or “above” a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being “below”, “below” or “below” a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0033] Unless otherwise defined, all technical and scientific terms used in the specification of this application have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" used in the specification of this application includes any and all combinations of one or more related listed items.

[0034] like Figure 1 As shown, in one embodiment, a method for screening soil samples by automated sampling and separation comprises the following steps:

[0035] Step S110, using the handheld terminal to input the soil stratification data group in the soil core tube, the sampling point number, the sampling time, and whether to collect parallel samples.

[0036] Specifically, after confirming the site location, the soil core tube is inserted into the soil so that the soil within a certain depth range of the soil layer enters the soil core tube. Then the inspection personnel can pull out the soil core tube, stratify the soil core tube, and enter the stratified data group information into the handheld terminal. The handheld terminal is a handheld inspection device or a handheld computer or other device that can perform data processing and calculation.

[0037] Step S120, performing heavy metal detection and volatile organic compound detection on the soil core samples of each soil layer, and generating a plurality of heavy metal and volatile organic compound detection data sets of the fixed segmented soil core samples.

[0038] Specifically, a portable XRF analyzer was used to detect the concentrations of heavy metals such as arsenic, cadmium, chromium, copper, lead, mercury, nickel, antimony, beryllium, cobalt, and vanadium. A portable PID detector was used to detect the concentration of volatile organic compounds, generating a data set of heavy metal and volatile organic compound concentrations for each small section of soil core sample.

[0039] Step S130, import the heavy metal detection data group, the volatile organic compound detection data group, the soil stratification data group and the soil core sample fixed segmentation data group into the data analysis element of the handheld terminal, substitute the above data groups into the preset mathematical model, and calculate the depth data group of the fixed segmented soil core sample represented by the maximum value under a certain weight ratio in the set of the soil core sample heavy metal detection data group and the volatile organic compound detection data group divided based on the soil stratification data group.

[0040] Specifically, the soil stratification data set is a preliminary distinction of the depth of the soil layer obtained by the soil core tube, and the soil core sample fixed segmentation data set is a further depth distinction of the soil obtained by the soil core tube based on the soil stratification data set. Heavy metal and volatile organic compound detection is performed on each small section of the soil core sample to obtain a set of detection data divided based on the soil core sample fixed segmentation data set. According to this set combined with the soil stratification data set, the maximum value in the soil core sample detection data set divided based on the soil stratification data set can be calculated according to a certain weight ratio. It is brought into the preset mathematical model to obtain the soil formal sample sampling depth data set.

[0041] The above-mentioned automated sampling and separation soil sample screening method performs a preliminary division of the soil depth in the soil core tube by entering the soil stratification data group in the soil core tube, and then further differentiates the depth of the soil obtained by the soil core tube based on the soil stratification data group to obtain a fixed segmented data group of the soil core sample, and performs heavy metal and volatile organic compound detection on each small section of the soil core sample to obtain a set of detection data divided based on the soil core sample segmented data group. The maximum value in the soil core sample data set divided based on the soil stratification data group can be obtained by combining the set with the soil stratification data group according to a certain weight ratio, and the data is brought into a preset mathematical model to obtain the soil formal sample sampling depth data group, without the need for manual recording, thereby solving the problem of large amount of soil core sample detection data and error-prone and low efficiency of manual on-site comparative analysis in the soil sampling depth link.

[0042] In this embodiment, the soil layer data set includes three soil layer depth data, which are used to divide the soil core sample into four major sections. Figure 2 As shown, the soil stratification data set M1 = {S1, S2, S3}, the unit is m, where S1, S2, S3 represent the depth of soil layer change, respectively. According to the three soil layer change depths, four soil layers can be obtained, and S1, S2, S3∈(0, 6], and S1 <S2<S3。

[0043] In this embodiment, the fixed segmented data group of the soil core sample is nine small sections below the ground surface, namely 0-0.5m, 0.5-1.0m, 1.0-1.5m, 1.5-2.0m, 2.0-2.5m, 2.5-3.0m, 3.0-4.0m, 4.0-5.0m and 5.0-6.0m. A small amount of soil at the end of each soil core section is taken as the soil core sample to be tested, and a portable XRF analyzer is used to detect the concentrations of heavy metals such as arsenic, cadmium, chromium, copper, lead, mercury, nickel, antimony, beryllium, cobalt and vanadium in the above 9 soil core samples, and data groups M2, M3, M4, M5, M6, M7, M8, M9, M10, M11 and M12 are generated respectively. A portable PID detector is used to detect the concentrations of volatile organic compounds in the above 9 soil core samples, and a data group M13 is generated. Finally, the data groups M2-13 are imported into the data collection element of the device.

[0044] Among them, M2={As1, As2, As3, As4, As5, As6, As7, As8, As9};

[0045] M3={Cd1, Cd2, Cd3, Cd4, Cd5, Cd6, Cd7, Cd8, Cd9};

[0046] M4={Cr1, Cr2, Cr3, Cr4, Cr5, Cr6, Cr7, Cr8, Cr9};

[0047] M5={Cu1, Cu2, Cu3, Cu4, Cu5, Cu6, Cu7, Cu8, Cu9};

[0048] M6={Pb1, Pb2, Pb3, Pb4, Pb5, Pb6, Pb7, Pb8, Pb9};

[0049] M7={Hg1, Hg2, Hg3, Hg4, Hg5, Hg6, Hg7, Hg8, Hg9};

[0050] M8={Ni1, Ni2, Ni3, Ni4, Ni5, Ni6, Ni7, Ni8, Ni9};

[0051] M9={Sb1, Sb2, Sb3, Sb4, Sb5, Sb6, Sb7, Sb8, Sb9};

[0052] M10={Be1, Be2, Be3, Be4, Be5, Be6, Be7, Be8, Be9};

[0053] M11={Co1, Co2, Co3, Co4, Co5, Co6, Co7, Co8, Co9};

[0054] M12={V1, V2, V3, V4, V5, V6, V7, V8, V9};

[0055] The unit of the above M2-M12 data groups is mg / kg;

[0056] M13 = {P1, P2, P3, P4, P5, P6, P7, P8, P9}, in ppm;

[0057] Specifically, the numbers in the above data group represent the detection data from 1 to 9 segments respectively.

[0058] like Figure 3 As shown, in one embodiment, a heavy metal detection data group, a volatile organic compound detection data group, a soil stratification data group, and a fixed segmented data group of a soil core sample are imported into a data analysis element of a handheld terminal, the above data groups are substituted into a preset mathematical model, and a depth data group of a fixed segmented soil core sample represented by the maximum value under a certain weight ratio in a set of a soil core sample heavy metal detection data group and a volatile organic compound detection data group divided based on the soil stratification data group is calculated, comprising the following steps:

[0059] Step 131, obtaining a heavy metal detection data set and a volatile organic compound detection data set of each small section of soil core sample in each soil layer, and obtaining a maximum value of heavy metal detection data and a maximum value of volatile organic compound detection data of each small section of soil core sample in each soil layer.

[0060] Specifically, if y(a) ≤ S1 < y(a + 1), then the maximum value in the detection data set of the nine small segments in the first large segment is:

[0061] Asa1 = max{As1, As2,..., Asa}

[0062] Cda2 = max{Cd1, Cd2,..., Cda}

[0063] Cra3 = max{Cr1, Cr2,..., Cra}

[0064] Cua4 = max{Cu1, Cu2,..., Cua}

[0065] Pba5 = max{Pb1, Pb2,..., Pba}

[0066] Hga6 = max{Hg1, Hg2,..., Hga}

[0067] Nia7 = max{Ni1, Ni2,..., Nia}

[0068] Sba8 = max{Sb1, Sb2,..., Sba}

[0069] Bea9 = max{Be1, Be2,..., Bea}

[0070] Coa10 = max{Co1, Co2,..., Coa}

[0071] Va11 = max{V1, V2,..., Va}

[0072] Pa12 = max{P1, P2,..., Pa}

[0073] If y(b) ≤ S2 < y(b + 1), then the maximum value in the detection data set of the nine small segments in the second large segment is:

[0074] Asb1 = max{Asa + 1, Asa + 2,..., Asb}

[0075] Cdb2 = max{Cda + 1, Cda + 2,..., Cdb}

[0076] Crb3 = max{Cra + 1, Cra + 2,..., Crb}

[0077] Cub4 = max{Cua + 1, Cua + 2,..., Cub}

[0078] Pbb5 = max{Pba + 1, Pba + 2,..., Pbb}

[0079] Hgb6 = max{Hga + 1, Hga + 2, …, Hgb}

[0080] Nib7 = max{Nia + 1, Nia + 2, …, Nib}

[0081] Sbb8 = max{Sba + 1, Sba + 2, …, Sbb}

[0082] Beb9 = max{Bea + 1, Bea + 2, …, Beb}

[0083] Cob10 = max{Coa + 1, Coa + 2, …, Cob}

[0084] Vb11 = max{Va + 1, Va + 2, Va + 3, …, Vb}

[0085] Pb12 = max{Pa + 1, Pa + 2, …, Pb}

[0086] If y(c) ≤ S3 < y(c + 1), then the maximum value in the set of detection data for the nine small segments in the third major segment is:

[0087] Asc1 = max{Asb + 1, Asb + 2, …, Asc}

[0088] Cdc2 = max{Cdb + 1, Cdb + 2, …, Cdc}

[0089] Crc3 = max{Crb + 1, Crb + 2, …, Crc}

[0090] Cuc4 = max{Cub + 1, Cub + 2, …, Cuc}

[0091] Pbc5 = max{Pbb + 1, Pbb + 2, …, Pbc}

[0092] Hgc6 = max{Hgb + 1, Hgb + 2, …, Hgc}

[0093] Nic7 = max{Nib + 1, Nib + 2, …, Nic}

[0094] Sbc8 = max{Sbb + 1, Sbb + 2, …, Sbc}

[0095] Bec9 = max{Beb + 1, Beb + 2, …, Bec}

[0096] Coc10 = max{Cob + 1, Cob + 2, …, Coc}

[0097] Vbc11 = max{Vb + 1, Vb + 2, …, Vc}

[0098] Pc12 = max{Pb + 1, Pb + 2, …, Pc}

[0099] If S3 < y(c + 1) < 6, then the maximum value in the set of test data for the nine small segments in the fourth major segment is:

[0100] Asd1 = max{Asc + 1, Asc + 2, …, As9}

[0101] Cdd2 = max{Cdc + 1, Cdc + 2, …, Cd9}

[0102] Crd3 = max{Crc + 1, Crc + 2, …, Cr9}

[0103] Cud4 = max{Cuc + 1, Cuc + 2, …, Cu9}

[0104] Pbd5 = max{Pbc + 1, Pbc + 2, …, Pb9}

[0105] Hgd6 = max{Hgc + 1, Hgc + 2, …, Hg9}

[0106] Nid7 = max{Nic + 1, Nic + 2, …, Ni9}

[0107] Sbd8 = max{Sbc + 1, Sbc + 2, …, Sb9}

[0108] Bed9 = max{Bec + 1, Bec + 2, …, Be9}

[0109] Cod10 = max{Coc + 1, Coc + 2, …, Co9}

[0110] Vbd11 = max{Vc + 1, Vc + 2, …, V9}

[0111] Pd12 = max{Pc + 1, Pc + 2, …, P9}

[0112] Wherein, a1 to a12, b1 to b12, c1 to c12, and d1 to d12 respectively represent the segment numbers of the soil core samples corresponding to the maximum values in the sets of test data for various heavy metals and volatile organic compound concentrations in each major segment.

[0113] Step 132: Based on the maximum values of the heavy metal test data and the maximum values of the volatile organic compound test data for each small segment of the soil core sample in each soil layer, combined with the heavy metal screening weight ratio, calculate the maximum values of the heavy metal test data and the volatile organic compound test data for each small segment corresponding to each soil layer after being weighted by the heavy metal screening weight ratio.

[0114] Specifically, the maximum value in the first large segment of the data set

[0115] The maximum value in the second large segment of the data set

[0116] The maximum value in the third large segment of the data set

[0117] The maximum value in the fourth large segment of the data set

[0118] In the formula, max represents the maximum value in the set, A1 to A11 represent the screening weight ratios of various heavy metals, Y ∈ [As, Cd, Cr, Cu, Pb, Hg, Ni, Sb, Be, Co, V, P], Y represents the type of heavy metal, and an, bn, cn, and dn represent the segment numbers of the soil core samples corresponding to the maximum value.

[0119] Specifically, the heavy metal screening weight ratios include:

[0120]

[0121] In the formula, i represents the i-th heavy metal, Bi is the national soil background value of the i-th heavy metal, Ci is the screening value of the construction land soil pollution risk of the i-th heavy metal, Di is the control value of the construction land soil pollution risk of the i-th heavy metal, and Ei is the average value of the general quick screening concentration of the i-th heavy metal.

[0122] Among them, the national soil background value comes from the background values of various heavy metals in "The Background Values of Soil Elements in China"; the screening value of the construction land soil pollution risk (for the first type of land) comes from the screening values of various heavy metals in "GB36600-2018 Soil Environmental Quality Risk Control Standards for Soil Pollution of Construction Land (Published Draft)"; the control value of the construction land soil pollution risk (for the first type of land) is the risk control value of the first type of land of various heavy metals calculated using the formulas and parameters in <HJ 25.3-2019 Technical Guidelines for Risk Assessment of Soil Pollution of Construction Land>; the average value of the general quick screening concentration comes from the average values of the quick screening concentrations of various heavy metals in more than forty general plots collected.

[0123] Step 133: According to the maximum value corresponding to the weighted ratio of the heavy metal detection data and volatile organic compound detection data of each small segment corresponding to each soil layer, substitute the number of segmented sections of the soil core sample into the preset mathematical model to obtain the segmented depth of the soil core sample corresponding to the maximum value, which is the sampling depth of the formal soil sample for each layer. Combine the sampling depths of the formal soil samples of the four soil layers to obtain the sampling depth data group of the formal soil samples.

[0124] Specifically, the preset mathematical model includes:

[0125] Given that x is a positive integer and x ∈ [1, 9]; when x ≤ 6, y(x) = 0.5 * x; when 6 < x ≤ 9, y(x) = x - 3.

[0126] In the formula, x represents the number of segmented sections of a small soil core sample, and y(x) represents the end depth of the small soil core sample corresponding to x.

[0127] The sampling depth data group of the formal soil samples MT = {y(an), y(bn), y(cn), y(dn)}.

[0128] Combining the above two can obtain the specific data values of the sampling depth data group of the formal soil samples.

[0129] In one embodiment, the soil sample screening method further includes importing the sampling depth data group, combined with the entered sampling point number, sampling time information, and whether to collect parallel sample information, into the automatic coding element, and the automatic coding element randomly generates a sample number.

[0130] The automatic coding element transmits the sampling point number, sampling time information, whether to collect parallel sample information, and the sample number corresponding rule to the management end, and is connected to a printer at the lower end to print sample labels, and the sample labels include sample numbers and sampling date information.

[0131] The above-mentioned automated soil sample screening method for separating sampling and testing reduces the time for manual comparison and analysis of quick screening data and on-site soil layers, greatly improving the efficiency of determining the sampling depth. It replaces the operation of manual comparison and analysis of quick screening data and on-site soil layers, improving the accuracy of determining the sampling depth. Automatically generating sample numbers is conducive to the statistics and management of sample quantities and information, and automatically generating sample numbers and password parallel sample numbers separates the sampling and testing coding information, avoiding the possibility of human fraud and ensuring the authenticity of sample test results.

[0132] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as within the scope described in this specification.

[0133] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for screening soil samples by automated sampling and separation, characterized in that: The method includes: Using a handheld device to input the soil stratification data set, sampling point number, sampling time, and information on whether parallel samples are collected in the soil core tube; Dividing the soil core samples of each soil layer into several fixed segments respectively, conducting heavy metal detection and volatile organic compound detection on the soil core samples of each fixed segment. The detection data of the same heavy metal in the soil core samples of all fixed segments in the same soil layer form a heavy metal detection data set, and the detection data of volatile organic compounds in the soil core samples of all fixed segments in the same soil layer form a volatile organic compound detection data set; Importing the heavy metal detection data set, volatile organic compound detection data set, soil stratification data set, and soil core sample fixed segment data set into the data analysis component of the handheld device, substituting the above data sets into a preset mathematical model, and calculating to obtain a depth data set of the fixed segment soil core samples represented by the maximum value under a certain weight ratio in the set of heavy metal detection data set and volatile organic compound detection data set of the soil core samples divided based on the soil stratification data set; The step of importing the heavy metal detection data set, volatile organic compound detection data set, soil stratification data set, and soil core sample fixed segment data set into the data analysis component of the handheld device, substituting the above data sets into a preset mathematical model, and calculating to obtain a depth data set of the fixed segment soil core samples represented by the maximum value under a certain weight ratio in the set of heavy metal detection data set and volatile organic compound detection data set of the soil core samples divided based on the soil stratification data set includes: Obtaining the heavy metal detection data set and volatile organic compound detection data set of all fixed segment soil core samples in each soil layer, and obtaining the maximum detection data of various heavy metals and the maximum detection data of volatile organic compounds of all fixed segment soil core samples in each soil layer; Multiplying the maximum detection data of various heavy metals and the maximum detection data of volatile organic compounds of all fixed segment soil core samples in each soil layer by the heavy metal screening weight ratio respectively, and calculating to obtain the maximum value of the heavy metal detection data and volatile organic compound detection data of all fixed segments corresponding to each soil layer after being weighted by the heavy metal screening weight ratio; Substituting the segment number of the soil core sample corresponding to the maximum value of the heavy metal detection data and volatile organic compound detection data of all fixed segments corresponding to each soil layer after being weighted into the preset mathematical model to obtain the depth of the soil core sample segment corresponding to the maximum value, which is the formal soil sample sampling depth of each layer. The set of formal soil sample sampling depths of all four soil layers is combined to obtain a soil formal sample sampling depth data set; The heavy metal screening weight ratio includes: ； In the formula, Bi is the national soil background value of the i-th heavy metal, Ci is the screening value of the construction land soil pollution risk of the i-th heavy metal, Di is the control value of the construction land soil pollution risk of the i-th heavy metal, and Ei is the average value of the general rapid screening concentration of the i-th heavy metal; The preset mathematical model includes: It is given that x is a positive integer and x ∈ [1, 9]; When x ≤ 6, y(x) = 0.5 * x; when 6 < x ≤ 9, y(x) = x - 3; In the formula, x represents the segment number of a small segment of soil core sample, and y(x) represents the end depth of the small segment of soil core sample corresponding to x.

2. The method for screening soil samples by automated sampling and separation according to claim 1, characterized in that: The soil stratification data group includes three soil layer stratification depth data, which are used to divide the soil core sample into four soil layers.

3. The method for screening soil samples by automated sampling and separation according to claim 2, characterized in that: The fixed segmented data group of the soil core sample consists of nine small sections below the ground surface: 0-0.5m, 0.5-1.0m, 1.0-1.5m, 1.5-2.0m, 2.0-2.5m, 2.5-3.0m, 3.0-4.0m, 4.0-5.0m, and 5.0-6.0m.

4. The method for screening soil samples by automated sampling and separation according to claim 3, characterized in that: The heavy metals were detected by a portable XRF analyzer.

5. The method for screening soil samples by automated sampling and separation according to claim 4, characterized in that: The volatile organic compounds are detected by a portable PID detector.

6. The method for screening soil samples by automated sampling and separation according to claim 1, characterized in that: The method further includes importing the sampling depth data set into an automatic coding component in combination with the input sampling point number, sampling time information, and information on whether parallel samples are collected, and the automatic coding component randomly generates a sample number.

7. The method for screening soil samples by automated sampling and separation according to claim 6, characterized in that: The method also includes an automatic coding element transmitting the sampling point number, sampling time information, whether to collect parallel samples and sample number corresponding rules to the management end, and the lower end is connected to a printer to print a sample label, and the sample label includes the sample number and sampling date information.

Images