An intelligent solid waste detection system for environmental protection during highway construction.

Abstract

This invention relates to the field of solid waste detection technology, and discloses an intelligent solid waste detection system for environmental protection during highway construction. The system includes a sub-region drawing module to draw sub-regions with equilateral triangle structures, a solid waste composition detection module to detect the solid waste composition of the test samples, a target region drawing module to draw the target region within the solid waste detection area, a solid waste quantity calculation module to calculate the amount of solid waste in the region, and a solid waste pollution analysis module to analyze the solid waste pollution level in the detection area. This invention can perform multi-point regional aggregation operations on discretely distributed solid waste, avoiding the limitations of single-point data collection and analysis. It can also cover the pollution and hazards to soil and groundwater caused by the diffusion and volatilization of solid waste, reducing detection errors related to solid waste pollution and hazards to the environment, and improving the accuracy of solid waste detection results.

Description

Technical Field

[0001] This invention relates to the field of solid waste detection technology, and more specifically, to an intelligent solid waste detection system for environmental protection during highway construction. Background Technology

[0002] The environmental impact of highway construction is characterized by its wide scope, broad reach, and long duration. The soil and groundwater pollution caused by solid waste such as building materials, concrete blocks, and additive waste generated during construction, as well as how to effectively control this pollution, pose a huge challenge to construction and environmental protection work. In order to accurately analyze and judge the pollution and harm caused by solid waste to the environment, it is necessary to carry out intelligent detection and treatment of solid waste.

[0003] The patent application with publication number CN120102537A discloses a method for determining the heavy metal content of solid waste powder. This method provides a more accurate and scientific quantitative evaluation and analysis of the heavy metal content of solid waste powder at the particle scale, and can simultaneously measure multiple different heavy metal elements in solid waste powder. It also visualizes the heavy metal content, simplifies the analysis results, and introduces new evaluation indicators based on traditional evaluation methods, taking into account various influencing factors. This provides relevant scientific basis and technical support for improving the efficiency of rapid decision-making and the rationality of solid waste powder material treatment at construction sites.

[0004] In current construction practices, solid waste testing typically relies on a single or limited number of fixed monitoring points for data collection. This makes it difficult to cover the pollution information related to large-scale or discretely distributed solid waste, resulting in limited data that cannot accurately reflect the spatial distribution of solid waste. Furthermore, it lacks the ability to identify potential pollution areas caused by solid waste and fails to consider the potential environmental impact of solid waste diffusion. Consequently, subsequent detection results of solid waste pollution on the environment are inaccurate.

[0005] In view of this, the present invention proposes an intelligent solid waste detection system for environmental protection during highway construction to solve the above problems. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art and to achieve the above objectives, the present invention provides the following technical solution: an intelligent solid waste detection system for environmental protection during highway construction, applied to an intelligent detection platform, comprising:

[0007] The sub-region drawing module is used to determine the solid waste detection area from the construction site, mark the area points within the solid waste detection area, mark the detection points distributed at intervals with the area points as the center, and draw the sub-region with an equilateral triangle structure.

[0008] The solid waste composition detection module is used to collect detection samples from detection points in the sub-region, perform solid waste composition detection on the detection samples, and detect the solid waste composition of the detection samples.

[0009] The target area drawing module is used to identify the location attributes of the detection points based on the solid waste composition, mark the polluted areas from the sub-regions, and draw the target area in the solid waste detection area in combination with the area drawing criteria.

[0010] The criterion for area mapping is: all contaminated areas must be located within the target area;

[0011] The solid waste quantity calculation module is used to divide the target area into a diffusion area based on the pollution diffusion criteria, collect the solid waste distribution parameters of the diffusion area, and calculate the amount of solid waste in the area.

[0012] The pollution diffusion criterion is: diffusion occurs at equal intervals outward from the boundary inflection point as the diffusion base point;

[0013] The solid waste pollution analysis module is used to input the amount of solid waste in the area into the solid waste pollution analysis model, analyze the solid waste pollution level of the solid waste detection area, and determine whether to issue an environmental protection warning.

[0014] Furthermore, when determining the solid waste monitoring area, the geographical location of the construction site is obtained by looking up the construction drawings, and the locations of solid waste piles are marked on the construction site to obtain the waste locations;

[0015] Draw a closed line around the waste disposal points on the outer side of the construction site, and denote the area enclosed by the line as the initial area.

[0016] Draw a rectangular area on the initial area, and continuously increase the area of ​​the rectangular area until the initial area is completely inside the rectangular area for the first time. Then stop increasing the area of ​​the rectangular area and record the rectangular area as the solid waste detection area.

[0017] Furthermore, the method for drawing sub-regions is as follows:

[0018] The straight-line distance between any two waste points within the solid waste detection area is measured one by one, and the minimum straight-line distance is recorded as the point interval value.

[0019] Draw the two diagonals of the solid waste detection area one by one. Mark four original points at the two ends of the two diagonals and at a distance of one point interval from the adjacent vertex. Connect the two adjacent original points in sequence to generate four original lines.

[0020] Using an interval standard of more than one-third of the point interval and less than one point interval, mark A points to be verified on the four original lines with an interval distribution. Continuously adjust the distance between any two adjacent points to be verified until the distance between any two adjacent points to be verified is consistent, thus obtaining A area points.

[0021] Using region A as the center and a quarter-point interval from the center as the standard, mark three detection points with intervals distributed outside region A.

[0022] Connect the three detection points outside the A regions in pairs to form an equilateral triangle structure, and denote the enclosed area of ​​the equilateral triangle structure as a sub-region, thus obtaining A sub-regions.

[0023] Furthermore, the samples tested included sample A, sample B, sample C, and sample D;

[0024] Solid waste components include heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics;

[0025] The detection method for solid waste components is as follows:

[0026] Solid waste samples were collected from three detection points in each of the A sub-regions, and the solid waste samples were crushed to generate crushed samples.

[0027] Using one unit weight as the standard, four test samples were selected from the broken samples and labeled as sample A, sample B, sample C and sample D respectively.

[0028] The solid waste contained heavy metals when the XRF spectroscopy result of sample A1 was obtained.

[0029] The solid waste contained polycyclic aromatic hydrocarbons when the test result was B1, and the sample was analyzed by gas chromatography-mass spectrometry.

[0030] The solid waste sample C was tested by gas chromatography-mass spectrometry. When the test result was C1, the solid waste contained volatile organic compounds.

[0031] The sample D was tested using infrared spectroscopy. When the test result was D1, the solid waste contained plastic.

[0032] Furthermore, the location attributes include contaminated locations and regular locations;

[0033] The method for identifying location attributes is as follows:

[0034] The quantity of solid waste components at the three detection points in each of the A sub-regions is counted one by one and recorded as component quantity values;

[0035] When the component value is greater than or equal to 2, the detection point is recorded as a contaminated point; when the component value is less than 2, the detection point is recorded as a normal point.

[0036] The method for marking contaminated areas is as follows:

[0037] The number of contaminated points in each of the A sub-regions is counted one by one. When the number of contaminated points is not zero, the sub-region is recorded as a contaminated region, thus obtaining B contaminated regions.

[0038] Furthermore, the method for drawing the target region is as follows:

[0039] In the solid waste monitoring area, the monitoring points on the polluted area are recorded as target points, and the boundaries of the polluted area are recorded as pollution boundary lines;

[0040] Draw a line connecting two target points in any two contaminated areas, and then connect the lines connecting adjacent areas to the contaminated edge line in sequence to generate D drawing areas.

[0041] Observe the positional relationship between the target points on the D drawn areas and the B contaminated areas, and record the drawn areas whose positional relationship is fully enclosed as the areas to be filtered, thus obtaining C areas to be filtered.

[0042] The C regions to be filtered are transferred one by one to the electronic map, the area of ​​each of the C regions to be filtered is measured, and the region corresponding to the minimum area is recorded as the target region.

[0043] Furthermore, the diffusion method for the diffusion region is as follows:

[0044] Using two adjacent target points as endpoints, draw target boundary lines between any two adjacent target points in the target area, and record the angle between two adjacent target boundary lines as the boundary angle.

[0045] Measure the angle value of the boundary angle one by one, and record the target point in the boundary angle whose angle value is not 180 degrees as the boundary inflection point, and obtain F boundary inflection points;

[0046] The inflection point distance between two adjacent boundary inflection points is measured one by one, and half of the minimum inflection point distance value is recorded as the diffusion length.

[0047] Draw the angle bisectors of the angles between the boundaries at the F boundary inflection points, and extend the angle bisectors outwards from the target area using a diffusion length as the extension standard.

[0048] The endpoints of the extended angle bisectors are recorded as regional inflection points, resulting in F regional inflection points. By connecting adjacent regional inflection points in sequence, a diffusion region is generated.

[0049] Furthermore, the solid waste distribution parameters include the unit content value and the total solid waste value;

[0050] The unit content values ​​include the unit content values ​​of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics.

[0051] Regional solid waste includes regional solid waste of heavy metals, regional solid waste of polycyclic aromatic hydrocarbons, regional solid waste of volatile organic compounds, and regional solid waste of plastics.

[0052] Furthermore, solid waste pollution levels are categorized as lightly polluted, moderately polluted, and heavily polluted.

[0053] The training method for the solid waste pollution analysis model is as follows:

[0054] The regional solid waste quantities of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics were collected in advance under light, moderate, and heavy pollution conditions.

[0055] The regional solid waste amounts of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics in each group were marked as training features. The solid waste pollution level of each training feature was labeled, converting light pollution to 0, moderate pollution to 1, and heavy pollution to 2.

[0056] The labeled training features are divided into a training set and a test set. The solid waste pollution analysis model is trained using the training set and tested using the test set.

[0057] A preset error threshold is set. When the mean of the prediction errors of all training features in the test set is less than the error threshold, the solid waste pollution analysis model is output.

[0058] Furthermore, the analytical method for solid waste pollution levels is as follows:

[0059] When the output of the solid waste pollution analysis model is 0, 1 or 2, the solid waste pollution level is light pollution, moderate pollution or heavy pollution, respectively.

[0060] The method for determining whether to issue an environmental protection alert is as follows:

[0061] When the solid waste pollution level is light pollution, no environmental protection warning will be issued.

[0062] When the solid waste pollution level is moderate or severe, an environmental protection warning will be issued.

[0063] The technical effects and advantages of the intelligent solid waste detection system for environmental protection during highway construction according to the present invention are as follows:

[0064] (1): This invention marks the spaced points in the solid waste detection area and draws the sub-regions with the equilateral triangle structure based on the spaced points. This can form a multi-point solid waste detection area with spaced points in a large solid waste detection area. It can perform multi-point area aggregation operation on the discrete solid waste in the solid waste detection area, avoiding the limitations of relying on a single point for data collection and analysis.

[0065] (2): Under the constraints of the regional mapping criteria, this invention can aggregate all polluted areas into a target area, ensuring that all relevant solid waste pollution data in all polluted areas can be aggregated together. At the same time, under the influence of the pollution diffusion criteria, the target area is diffused into a larger diffusion area, ensuring that the diffusion area can comprehensively cover the pollution and hazards to soil and groundwater caused by the diffusion and volatilization of solid waste. This provides a comprehensive detection basis for the original pollution and diffusion pollution of solid waste, thereby reducing the detection error of subsequent pollution and hazards to the environment caused by solid waste. Attached Figure Description

[0066] Figure 1 This is a schematic diagram of the architecture of an intelligent solid waste detection system for environmental protection during highway construction, provided in Embodiment 1 of the present invention.

[0067] Figure 2 This is a flowchart illustrating an intelligent solid waste detection method for environmental protection during highway construction, as provided in Embodiment 2 of the present invention. Detailed Implementation

[0068] 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.

[0069] Example 1: Please refer to Figure 1 As shown in this embodiment, an intelligent solid waste detection system for highway construction is applied to an intelligent detection platform and includes:

[0070] The sub-region drawing module determines the solid waste detection area from the construction site, marks the area points within the solid waste detection area, marks the detection points distributed at intervals with the area points as the center, and draws the sub-region with an equilateral triangle structure.

[0071] The construction site refers to the specific geographical location affected and impacted during the construction of a highway. It can be considered as the site with the largest area for highway construction. The solid waste monitoring area refers to the area in the construction site where solid waste is generated and can be affected by solid waste. It serves as the data collection location for subsequent data collection on the potential pollution and harm to the soil and groundwater environment during highway construction.

[0072] Generally speaking, solid waste is not generated in all locations within a construction site. Therefore, the area of ​​the solid waste detection zone is less than or equal to the area of ​​the construction site. When determining the solid waste detection zone, it is necessary to identify and locate it within the construction site.

[0073] Specifically, when determining the solid waste monitoring area, firstly, the geographical location of the construction site is determined by referring to the construction drawings, and the outer boundary of the construction site is marked. Then, the locations of solid waste dumping points are marked on the construction site to obtain the waste points. Next, a closed point line is drawn along the location of the waste points on the outer side of the construction site, and the area enclosed by the point line is recorded as the initial area. Finally, a rectangular area is drawn on the initial area, and the area of ​​the rectangular area is continuously increased until the initial area is completely inside the rectangular area for the first time. At this point, the increase in the area of ​​the rectangular area is stopped, and the rectangular area is recorded as the solid waste monitoring area.

[0074] It should be noted that the area of ​​the obtained rectangular solid waste detection area can be as close as possible to the area of ​​the initial area. This ensures that the location of solid waste in the initial area is included, while also preventing extra areas without solid waste from participating in subsequent detection calculations. This minimizes the area of ​​the solid waste detection area and improves the correlation of the collected data.

[0075] After determining the solid waste monitoring area, it is necessary to mark the initial points for data collection on the pollution caused by solid waste in the solid waste monitoring area, namely: regional points; at this time, the regional points are not used as the direct points for data collection, but rather to provide the location basis for the subsequent marking and identification of monitoring points. The monitoring points serve as the data collection locations for the pollution caused by solid waste in the environment.

[0076] Since solid waste does not negatively impact the environment through the specific location of the monitoring point, but rather through the areas affected by the solid waste, relying solely on monitoring points for data collection and analysis has limitations. It is necessary to aggregate the scattered monitoring points and record the aggregated areas as sub-regions.

[0077] In this embodiment, the sub-region is the location where data on the pollution and harm caused by solid waste to the environment will be collected, analyzed, and evaluated.

[0078] The method for drawing sub-regions is as follows:

[0079] The straight-line distance between any two waste points within the solid waste detection area is measured one by one, and the minimum straight-line distance is recorded as the point interval value.

[0080] Draw the two diagonals of the solid waste detection area one by one, and mark four original points at the two ends of the two diagonals, at a distance of one point from the adjacent vertex. Connect the two adjacent original points in sequence to generate four original lines. This can form a small rectangular structure within the solid waste detection area, providing a positional basis for determining the location of subsequent sub-regions.

[0081] Using an interval standard of greater than one-third of the point interval and less than one point interval, mark A points to be verified on the four original lines with an interval distribution. Continuously adjust the distance between any two adjacent points until the distance between any two adjacent points is consistent, thus obtaining A area points. The distance between any two adjacent points is acceptable as long as it is greater than one-third of the point interval and less than one point interval, without any specific numerical limit on its value.

[0082] Using region A as the center and a quarter-point interval from the center as the standard, mark three detection points with intervals distributed outside region A.

[0083] Connect the three detection points outside the A regions in pairs to form an equilateral triangle structure, and denote the enclosed area of ​​the equilateral triangle structure as a sub-region, thus obtaining A sub-regions.

[0084] It should be noted that the structure of each sub-region is an equilateral triangle. This ensures that each sub-region has multiple non-adjacent data collection points, avoiding data duplication at data collection points that are too close together. At the same time, it can form a wrap-around multi-point detection effect for each waste point, improving the universality of the collected data and thus avoiding the limitations that may exist when collecting data at a single point.

[0085] The solid waste composition detection module collects detection samples from detection points in the sub-region and performs solid waste composition detection on the samples to identify the solid waste composition of the samples.

[0086] The test sample is a solid waste sample collected at each test point in the sub-region for subsequent testing of the pollutants and solid waste types contained in the solid waste, so that the test sample can meet the direct testing operation of the relevant testing equipment and instruments.

[0087] Since solid waste composition is used to summarize the pollutants and types of solid waste contained in solid waste, and the pollutants in solid waste that can cause pollution and harm to soil and groundwater are not unique, in order to facilitate the detection of multiple different pollutants, pollutants with similar or identical pollution hazard types and similar or consistent detection methods can be summarized to form a relatively complete solid waste composition.

[0088] Specifically, solid waste components include heavy metals, polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and plastics. Heavy metals refer to metallic substances in solid waste that pollute soil and groundwater, including but not limited to Pb, Hg, and Cd. PAHs refer to chemical substances in solid waste that pollute soil and groundwater. VOCs refer to volatile compounds in solid waste that pollute soil and groundwater, including but not limited to benzene, toluene, xylene, formaldehyde, and acetic acid. Plastics refer to non-degradable resins in solid waste that pollute soil and groundwater.

[0089] When collecting test samples from the testing points, in order to meet the independent testing requirements of different solid waste components, the test samples collected from the testing points need to be distinguished so that each test sample can correspond to the testing of one solid waste component.

[0090] Specifically, the test samples include Sample A, Sample B, Sample C, and Sample D; Sample A, Sample B, Sample C, and Sample D correspond to heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics in solid waste components, respectively, thus achieving a one-to-one correspondence between the two samples for testing.

[0091] Once the differentiated samples A, B, C, and D are obtained, the solid waste components of each sample can be tested individually. During the testing process, conventional and commercially available testing equipment and methods are used to test the solid waste components.

[0092] Specifically, the detection methods for solid waste components are as follows:

[0093] Solid waste samples were collected from three detection points in each of the A sub-regions, and the solid waste samples were crushed to generate crushed samples.

[0094] Using a unit weight as a standard, four test samples are selected from the broken samples and labeled as Sample A, Sample B, Sample C, and Sample D respectively. The unit weight is used to define the standard weight of solid waste when participating in the solid waste component testing, and also provides the minimum weight value for the subsequent calculation of the weight of different solid waste components. Specifically, the unit weight is set according to actual needs; for example, the unit weight is 100g.

[0095] Sample A was tested using XRF spectroscopy, and the test results were output. When the test result was A1, heavy metals were found in sample A, and the solid waste components contained heavy metals.

[0096] Sample B was tested by gas chromatography-mass spectrometry and the test results were output. When the test result was B1, polycyclic aromatic hydrocarbons were present in sample B, and the solid waste components contained polycyclic aromatic hydrocarbons.

[0097] Sample C was tested by gas chromatography-mass spectrometry and the test results were output. When the test result was C1, volatile organic compounds were present in sample C, and the solid waste components contained volatile organic compounds.

[0098] The sample D was tested using infrared spectroscopy, and the test results were output. When the test result was D1, plastic was found in the sample D, and the solid waste component contained plastic.

[0099] It should be noted that XRF spectroscopy is a method for detecting heavy metals where ground-state atoms absorb radiation of a suitable specific frequency and are excited to a high-energy state, subsequently emitting fluorescence of characteristic wavelengths in the form of light radiation during the excitation process. Detection is achieved using an X-ray fluorescence spectrometer. Gas chromatography-mass spectrometry is a coupled analytical method that combines the separation capabilities of gas chromatography with the qualitative capabilities of mass spectrometry. Detection is achieved using a gas chromatography-mass spectrometry system. Infrared spectroscopy is a detection method that uses infrared spectroscopy to analyze and identify molecules of substances. Detection is achieved using an infrared spectrometer.

[0100] The target area drawing module identifies the location attributes of the detection points based on the solid waste composition, marks the polluted areas from the sub-regions, and draws the target area in the solid waste detection area in combination with the area drawing criteria.

[0101] Location attributes are used to represent the specific results of whether solid waste at a detection point in a sub-region will cause pollution and harm to soil and groundwater. The factors that directly affect location attributes are the solid waste composition of the test sample at the detection point. The more solid waste composition of the test sample at the detection point, the greater the impact of the detection point on the pollution and harm to soil and groundwater.

[0102] Specifically, the location attributes include contaminated locations and regular locations; contaminated locations refer to monitoring points with a high content of solid waste that can pollute and harm the soil and groundwater, while regular locations refer to monitoring points with a low content of solid waste that will not pollute or harm the soil and groundwater.

[0103] The method for identifying location attributes is as follows:

[0104] The quantity of solid waste components at the three detection points in each of the A sub-regions is counted one by one and recorded as component quantity values;

[0105] When the component value is greater than or equal to 2, it indicates that the solid waste at the detection point contains more than two polluting components, and the detection point is recorded as a pollution point.

[0106] When the component value is less than 2, it indicates that the solid waste at the testing point contains two or fewer pollutants, and the testing point is then recorded as a regular testing point.

[0107] After identifying the location attributes of the detection points in each sub-region, the location attributes can be used as a basis to provide a detection conclusion on whether each sub-region will cause pollution and harm to the soil and groundwater. This allows for the accurate and rapid marking of polluted areas from the sub-regions. At this point, the polluted area is a sub-region containing solid waste that causes pollution and harm to the soil and groundwater.

[0108] Specifically, the method for marking contaminated areas is as follows:

[0109] The number of polluted points identified in each of the A sub-regions is counted one by one. When the number of polluted points is not 0, there are polluted points in the sub-region. The sub-region is then recorded as a polluted region, and B polluted regions are obtained.

[0110] When the number of contaminated points is 0, there are no contaminated points in the sub-region, and the sub-region is not recorded as a contaminated region.

[0111] After marking the contaminated areas from the sub-regions, the location of the contaminated areas is used as the standard to draw the target areas from the solid waste detection areas that need to be accurately detected for the pollution of soil and groundwater by solid waste.

[0112] When drawing the target area, in order to ensure the accuracy of the target area drawing and to ensure that all data that may affect the solid waste detection results are covered within the target area, the target area needs to be drawn under the constraints of the area drawing criteria.

[0113] Specifically, the regional mapping criterion is that all contaminated areas are located within the target area; this ensures that relevant solid waste pollution data from all contaminated areas can be aggregated, improving the accuracy of subsequent data collection within the target area.

[0114] The method for drawing the target region is as follows:

[0115] In the solid waste monitoring area, the monitoring points on the polluted area are recorded as target points, and the boundaries of the polluted area are recorded as pollution boundary lines;

[0116] Draw a line connecting two target points in any two contaminated areas, and then connect the lines connecting adjacent areas to the contaminated edge line in sequence to generate D drawing areas.

[0117] Observe the positional relationship between the target points on D drawn regions and B contaminated regions, and record the drawn regions with a fully enclosed positional relationship as the regions to be filtered, thus obtaining C regions to be filtered. The positional relationship is used to represent whether the target points on the drawn regions and contaminated regions are in an internal enclosing structure. Specifically, the positional relationship includes fully enclosed, partially enclosed, and unenclosed. Among them, fully enclosed means that all target points on the contaminated region are located inside the drawn region, partially enclosed means that some target points on the contaminated region are located inside the drawn region, and unenclosed means that no target points on the contaminated region are located inside the drawn region.

[0118] The C regions to be filtered are transferred one by one to the electronic map, the area of ​​each of the C regions to be filtered is measured, and the region corresponding to the minimum area is recorded as the target region.

[0119] It should be noted that the constructed target area is a closed structure, which allows the target area to represent the environmental and geographical location directly affected by solid waste.

[0120] The solid waste volume calculation module, based on the pollution diffusion criterion, diffuses the target area into a diffusion area, collects the solid waste distribution parameters in the diffusion area, and calculates the solid waste volume in the area.

[0121] After obtaining the target area, the target area serves as the original data area for subsequent analysis and assessment of the severity of pollution and harm caused by solid waste to soil and groundwater. Since the range affected by the solid waste components is not fixed, under the influence of external factors and time, the solid waste components will volatilize and diffuse. Therefore, the area affected by solid waste in the target area will be larger than the area of ​​the target area itself, and the area ultimately affected by solid waste is recorded as the diffusion area.

[0122] When obtaining the diffusion area, it is necessary to base it on the location of the target area and combine it with the constraints of pollution diffusion guidelines to diffuse the target area, thereby obtaining a larger area of ​​diffusion of solid waste component pollution and impact.

[0123] Specifically, the pollution diffusion criterion is: diffusion outward at equal intervals from the boundary inflection point; this ensures that the diffusion area formed by the diffusion can maintain structural similarity with the target area, achieving a comprehensive diffusion effect from the target area outward.

[0124] The diffusion method in the diffusion region is as follows:

[0125] Using two adjacent target points as endpoints, draw target boundary lines between any two adjacent target points in the target area, and record the angle between two adjacent target boundary lines as the boundary angle;

[0126] Measure the angle value of the boundary angle one by one, and record the target point in the boundary angle whose angle value is not 180 degrees as the boundary inflection point, and obtain F boundary inflection points;

[0127] The inflection point distance between two adjacent boundary inflection points is measured one by one, and half of the minimum inflection point distance value is recorded as the diffusion length.

[0128] Draw the angle bisectors of the angles between the boundaries at the F boundary inflection points, and extend the angle bisectors outwards from the target area using a diffusion length as the extension standard. By extending the angle bisectors outwards from the target area, the direction and location of the diffusion at the upper boundary inflection point of the target area can be guided, enabling the target area to diffuse accurately outwards and representing the geographical location of the indirect impact of solid waste.

[0129] The endpoints of the extended angle bisectors are recorded as regional inflection points, resulting in F regional inflection points. By connecting adjacent regional inflection points in sequence, a diffusion region is generated.

[0130] After obtaining the diffusion area, the data collection area for analyzing the pollution and hazards of solid waste to soil and groundwater can be obtained. Solid waste distribution parameters are collected to calculate the weight data of solid waste. Based on the solid waste distribution parameters, the weight of solid waste existing in the diffusion area is calculated, i.e., the amount of solid waste in the area.

[0131] Regional solid waste volume is the total weight of solid waste in the solid waste detection area that can cause pollution and harm to soil and groundwater, and serves as the basis for subsequent judgment on the pollution and harm to soil and groundwater environment caused by solid waste during highway construction.

[0132] Solid waste distribution parameters include unit content value and total solid waste value; where unit content value refers to the weight of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics contained in one unit weight, and total solid waste value refers to the total weight of all solid waste in the solid waste detection area;

[0133] Specifically, the unit content values ​​include the unit content values ​​of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics. The unit content values ​​of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics at each pollution site are obtained by summing the unit content values ​​of all different solid waste components detected by XRF spectroscopy, gas chromatography-mass spectrometry, and infrared spectroscopy during solid waste component detection and then averaging them.

[0134] The total solid waste value refers to the total weight of all types of solid waste within the diffusion area, which can be used to summarize the weight of all solid waste existing in the diffusion area. The total solid waste value is obtained by collecting and weighing all solid waste existing in the diffusion area.

[0135] After obtaining the unit content values ​​and total solid waste values ​​of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics, the regional solid waste quantity of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics can be calculated, thereby accurately representing the respective weights of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics present in the solid waste detection area.

[0136] Specifically, the amount of regional solid waste includes the amount of regional solid waste of heavy metals, regional solid waste of polycyclic aromatic hydrocarbons, regional solid waste of volatile organic compounds, and regional solid waste of plastics.

[0137] When calculating the amount of regional solid waste, the total amount of solid waste is compared with the unit weight, and the comparison value is multiplied by the unit content value of heavy metals, the unit content value of polycyclic aromatic hydrocarbons, the unit content value of volatile organic compounds and the unit content value of plastics, respectively, to calculate the amount of regional solid waste of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics.

[0138] The formula for calculating the amount of regional solid waste containing heavy metals is: ;

[0139] In the formula, The amount of regional solid waste containing heavy metals. This refers to the total value of solid waste. per unit weight This represents the unit content value of heavy metals;

[0140] The formula for calculating the amount of regional solid waste containing polycyclic aromatic hydrocarbons is: ;

[0141] In the formula, The amount of regional solid waste containing polycyclic aromatic hydrocarbons. This represents the unit content value of polycyclic aromatic hydrocarbons;

[0142] The formula for calculating the amount of regional solid waste containing volatile organic compounds is: ;

[0143] In the formula, The amount of regional solid waste containing volatile organic compounds. This represents the unit content value of volatile organic compounds;

[0144] The formula for calculating the amount of regional solid waste from plastics is: ;

[0145] In the formula, For the amount of regional solid waste related to plastics, This represents the unit content value of plastic.

[0146] The solid waste pollution analysis module inputs the amount of solid waste in the area into the solid waste pollution analysis model, analyzes the solid waste pollution level in the solid waste detection area, and determines whether to issue an environmental protection warning.

[0147] After calculating the regional solid waste quantities of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics, the calculated results can be input into a pre-trained solid waste pollution analysis model. This model can then intelligently analyze the solid waste pollution level of the monitored area based on the input data, thereby analyzing the severity of environmental pollution of soil and groundwater caused by solid waste corresponding to the regional solid waste quantities of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics.

[0148] Solid waste pollution level is a specific representation of the severity of pollution and harm caused to soil and groundwater by solid waste in the solid waste monitoring area, and serves as a prerequisite for issuing subsequent environmental protection warnings; solid waste pollution levels include light pollution, moderate pollution and heavy pollution; the severity of pollution and harm to soil and groundwater corresponding to light pollution, moderate pollution and heavy pollution is from low to high.

[0149] The solid waste pollution analysis model is an artificial intelligence model based on machine learning models. It combines a large amount of regional solid waste volume of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics with corresponding solid waste pollution levels. After extensive training and optimization, it is used to provide intelligent analysis of the pollution and severity of soil and groundwater in the solid waste detection area.

[0150] The training method for the solid waste pollution analysis model is as follows:

[0151] The regional solid waste quantities of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics were collected in advance under light, moderate, and heavy pollution conditions.

[0152] The regional solid waste amounts of heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds, and plastics in each group are marked as training features. The solid waste pollution level of each training feature is labeled, including light pollution, moderate pollution, and heavy pollution.

[0153] The levels of light pollution, moderate pollution, and heavy pollution are converted into numerical labels. For example, light pollution is converted to 0, moderate pollution to 1, and heavy pollution to 2.

[0154] The labeled training features are divided into a training set and a test set. 70% of the training features are used as the training set and 30% of the training features are used as the test set. The solid waste pollution analysis model is trained using the training set and tested using the test set.

[0155] A preset error threshold is set. When the mean of the prediction errors of all training features in the test set is less than the error threshold, the solid waste pollution analysis model is output.

[0156] For example, the solid waste pollution analysis model can be either a support vector machine model or a random forest model. The preset error threshold is set in advance according to the actual accuracy required by the solid waste pollution analysis model. Specifically, the preset error threshold is 99.5%.

[0157] Once the solid waste pollution analysis model is trained, the actual solid waste pollution level in the solid waste detection area can be analyzed based on the solid waste pollution analysis model, and the corresponding detection results can be obtained based on the output of the solid waste pollution analysis model.

[0158] Specifically, the analytical method for solid waste pollution levels is as follows:

[0159] When the output of the solid waste pollution analysis model is 0, the solid waste pollution level is light pollution.

[0160] When the output of the solid waste pollution analysis model is 1, the solid waste pollution level is moderate.

[0161] When the output of the solid waste pollution analysis model is 2, the solid waste pollution level is severe pollution.

[0162] When the true solid waste pollution level of the solid waste detection area is analyzed, and the environmental protection warning is determined based on the analyzed solid waste pollution level, accurate and reliable environmental protection warnings can be provided for subsequent highway construction, thereby improving the efficiency of solid waste recycling and treatment by the construction party and minimizing or avoiding pollution and harm to the soil and groundwater environment during highway construction.

[0163] Specifically, the method for determining whether to issue an environmental protection alert is as follows:

[0164] When the solid waste pollution level is light pollution, the negative damage to soil and groundwater caused by solid waste in the solid waste monitoring area is relatively minor, so it is determined that no environmental protection warning will be issued.

[0165] When the solid waste pollution level is moderate or severe, the solid waste in the solid waste monitoring area causes significant negative damage to the soil and groundwater, and an environmental protection warning is issued.

[0166] In this embodiment, by marking spaced-out area points in the solid waste detection area and drawing equilateral triangle sub-regions based on these area points, multiple spaced-out solid waste detection areas can be formed in a large solid waste detection area. This allows for the aggregation of discretely distributed solid waste within the solid waste detection area at multiple points, avoiding the limitations of relying on single-point data collection and analysis, and improving the accuracy of data collection.

[0167] By detecting the solid waste components of solid waste, polluted areas that pose potential pollution and hazards to soil and groundwater can be identified. Under the constraints of regional mapping criteria, all polluted areas can be aggregated into a target area, ensuring that relevant solid waste pollution data from all polluted areas can be collected together. Simultaneously, under the influence of pollution diffusion criteria, the target area is expanded into a larger diffusion area, ensuring that the diffusion area can comprehensively cover the pollution and hazards to soil and groundwater caused by the diffusion and volatilization of solid waste. This provides a comprehensive detection basis for the original pollution and diffusion pollution of solid waste, thereby reducing the detection error of subsequent pollution and hazards caused by solid waste to the environment and effectively improving the accuracy of solid waste detection results.

[0168] Example 2: Please refer to Figure 2 As shown, parts not described in detail in this embodiment are described in Embodiment 1. This embodiment provides an intelligent solid waste detection method for highway construction, applied to an intelligent detection platform. It is implemented based on an intelligent solid waste detection system for highway construction, and includes:

[0169] Step 1: Determine the solid waste testing area from the construction site, mark the area points within the solid waste testing area, mark the testing points at intervals with the area points as the center, and draw the sub-regions with an equilateral triangle structure.

[0170] Step 2: Collect test samples from the test points in the sub-region, perform solid waste component testing on the test samples, and detect the solid waste components of the test samples;

[0171] Step 3: Based on the solid waste composition, identify the location attributes of the detection points, mark the polluted areas from the sub-regions, and draw the target area in the solid waste detection area in combination with the area drawing criteria;

[0172] Step 4: Based on the pollution diffusion criteria, the target area is diffused into a diffusion area, and solid waste distribution parameters in the diffusion area are collected to calculate the amount of solid waste in the area;

[0173] Step 5: Input the amount of solid waste in the area into the solid waste pollution analysis model, analyze the solid waste pollution level of the solid waste detection area, and determine whether to issue an environmental protection warning.

[0174] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. An environmental protection intelligent solid waste detection system for highway construction applied to an intelligent detection platform, characterized in that, The application relates to a solid waste detection method and device. The method comprises the following steps: When the solid waste detection area is determined, the geographical position of the construction site is obtained by querying the construction drawing, the positions of the solid waste are marked in the construction site, and the waste positions are obtained; a closed position line is drawn along the positions of the waste positions located on the outer side in the construction site, and the area enclosed by the position line is recorded as an initial area; a rectangular area is drawn on the initial area, the area of the rectangular area is continuously increased, and when the initial area is located in the interior of the rectangular area for the first time, the increase of the area of the rectangular area is stopped, and the rectangular area is recorded as the solid waste detection area; The drawing method of the sub-area is as follows: The straight-line distance between any two waste positions in the solid waste detection area is measured one by one, and the minimum value of the straight-line distance is recorded as a position interval value; two diagonal lines of the solid waste detection area are drawn one by one, four original points are marked at the positions of the two ends of the two diagonal lines and one position interval value away from adjacent vertices, and four original lines are generated after the adjacent two original points are sequentially connected; A verification points are marked on the four original lines at intervals greater than one-third of the position interval value and less than one position interval value, and the distance between adjacent two verification points is continuously adjusted until the distance between any adjacent two verification points is consistent, thereby obtaining A area points; three detection points are marked outside the A area points at intervals, taking the A area points as centers and taking a quarter of the position interval value as a standard; an equilateral triangle structure is generated by connecting the three detection points outside the A area points two by two, and the enclosed area of the equilateral triangle structure is recorded as a sub-area, thereby obtaining A sub-areas; The solid waste component detection module is used for collecting detection samples of the detection points in the sub-area, performing solid waste component detection on the detection samples, and detecting the solid waste components of the detection samples; the detection samples comprise an A sample, a B sample, a C sample and a D sample; the solid waste components comprise heavy metals, polycyclic aromatic hydrocarbons, volatile organic compounds and plastics; The target area drawing module is used for identifying the position attributes of the detection points based on the solid waste components, marking a pollution area in the sub-area, and drawing a target area in the solid waste detection area according to a region drawing criterion; The position attributes comprise pollution positions and conventional positions; the identification method of the position attributes is as follows: The number of the solid waste components of the three detection points in the A sub-areas is counted one by one, and the number is recorded as a component value; when the component value is greater than or equal to 2, the detection point is recorded as a pollution position; when the component value is less than 2, the detection point is recorded as a conventional position; The marking method of the pollution area is as follows: the number of the pollution positions in the A sub-areas is counted one by one, when the number of the pollution positions is not 0, the sub-area is recorded as a pollution area, and B pollution areas are obtained; The region drawing criterion is that all the pollution areas are located in the interior of the target area; The drawing method of the target area is as follows: In the solid waste detection area, the detection points on the contaminated area are recorded as target points, and the boundary on the contaminated area is recorded as a contaminated boundary; a region connecting line is drawn between any two target points of two adjacent contaminated areas, and the region connecting lines of adjacent positions are sequentially connected with the contaminated boundary to generate D drawing regions; The position relationship between the D drawing regions and the target points on the B contaminated regions is observed, and the drawing region with a full package position relationship is recorded as a screening region to obtain C screening regions; the C screening regions are converted to the electronic map one by one, the area of the C screening regions is measured, and the screening region corresponding to the minimum area is recorded as a target region; The solid waste amount calculation module is used to diffuse the target region into a diffusion region based on a pollution diffusion criterion, collect the solid waste distribution parameters of the diffusion region, and calculate the regional solid waste amount; The pollution diffusion criterion is to diffuse outward from the boundary inflection point at equal intervals; The diffusion method of the diffusion region is: Two adjacent target points are taken as end points, a target boundary line is drawn between any two adjacent target points in the target region, and the included angle between the two adjacent target boundary lines is recorded as a boundary included angle; the angle values of the boundary included angles are measured one by one, and the target points in the boundary included angle with an angle value other than 180 degrees are recorded as boundary inflection points to obtain F boundary inflection points; the inflection point spacing values between adjacent two boundary inflection points are measured one by one, and half of the minimum value of the inflection point spacing values is recorded as a diffusion length; an angle bisector line is drawn through the F boundary inflection points to bisect the boundary included angle in which the boundary inflection points are located, and the angle bisector line is extended outward from the target region by a diffusion length as an extension standard; the end point of the extended angle bisector line is recorded as a region inflection point to obtain F region inflection points, and the adjacent two region inflection points are sequentially connected to generate a diffusion region; The solid waste pollution analysis module is used to input the regional solid waste amount into a solid waste pollution analysis model, analyze the solid waste pollution level of the solid waste detection area, and determine whether to issue an environmental protection prompt.

2. The environmental protection intelligent solid waste detection system for highway construction of claim 1, characterized in that, The detection method of the solid waste composition is: Solid waste samples of three detection points in A sub-regions are collected respectively, and the solid waste samples are crushed to generate crushed samples; Four detection samples are selected from the crushed samples respectively with a unit weight as a standard, and are sequentially recorded as sample A, sample B, sample C and sample D; Sample A is detected by XRF spectroscopy, and when the detection result is A1, the solid waste composition contains heavy metals; Sample B is detected by gas chromatography mass spectrometry, and when the detection result is B1, the solid waste composition contains polycyclic aromatic hydrocarbons; Sample C is detected by gas chromatography mass spectrometry, and when the detection result is C1, the solid waste composition contains volatile organic compounds; Sample D is detected by infrared spectroscopy, and when the detection result is D1, the solid waste composition contains plastic.

3. The environmental protection intelligent solid waste detection system for highway construction of claim 2, characterized in that, The solid waste distribution parameters include unit content value and total solid waste amount value; The unit content value includes the unit content value of heavy metals, the unit content value of polycyclic aromatic hydrocarbons, the unit content value of volatile organic compounds, and the unit content value of plastic. The regional solid waste amount includes a regional solid waste amount of heavy metals, a regional solid waste amount of polycyclic aromatic hydrocarbons, a regional solid waste amount of volatile organic compounds and a regional solid waste amount of plastics.

4. The environmental protection intelligent solid waste detection system for highway construction of claim 3, characterized in that, The solid waste pollution level includes light pollution, moderate pollution and heavy pollution. The training method of the solid waste pollution analysis model is: A plurality of groups of regional solid waste amounts of heavy metals, regional solid waste amounts of polycyclic aromatic hydrocarbons, regional solid waste amounts of volatile organic compounds and regional solid waste amounts of plastics under light pollution, moderate pollution and heavy pollution are collected in advance; Each group of regional solid waste amounts of heavy metals, regional solid waste amounts of polycyclic aromatic hydrocarbons, regional solid waste amounts of volatile organic compounds and regional solid waste amounts of plastics is marked as a training feature, and the solid waste pollution level of each group of training features is labeled, light pollution is converted to 0, moderate pollution is converted to 1, and heavy pollution is converted to 2; The labeled training features are divided into a training set and a test set, the training set is used to train the solid waste pollution analysis model, and the test set is used to test the solid waste pollution analysis model; A preset error threshold is provided, when the mean of the prediction errors of all training features in the test set is less than the error threshold, the solid waste pollution analysis model is output.

5. The environmental protection intelligent solid waste detection system for highway construction of claim 4, characterized in that, The analysis method of the solid waste pollution level is: When the output of the solid waste pollution analysis model is 0, 1 or 2, the solid waste pollution level is light pollution, moderate pollution or heavy pollution, respectively; The determination method of whether to issue an environmental protection prompt is: When the solid waste pollution level is light pollution, it is determined not to issue an environmental protection prompt; When the solid waste pollution level is moderate pollution or heavy pollution, it is determined to issue an environmental protection prompt.

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