A method and device for tracing the source of trace drugs in sewage pipe network

By collecting and analyzing sewage samples in the sewage pipeline network, combining environmental monitoring data and hydraulic water quality models, a trace model was established, and traceability of trace drugs was successfully achieved, solving the problem of inaccessible traceability in the existing technology, and providing a scientific basis to reduce the occurrence of drug abuse.

CN117198422BActive Publication Date: 2024-12-06江苏长三角智慧水务研究院有限公司

Patent Information

Application Number
CN202311243045.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-09-25
Publication Date
2024-12-06
Estimated Expiration
2043-09-25

AI Technical Summary

Technical Problem

The prior art cannot trace the source through trace drug detection in the sewage pipeline network, and it is difficult to reduce the occurrence of drug abuse from the source.

Method used

By collecting sewage samples, analyzing and determining the substances to be traced, combining environmental monitoring data and hydraulic water quality models, a trace model is established to match the source of the substances to be traced, and traceability of trace drugs is achieved.

Benefits of technology

Accurate traceability of trace drugs has been achieved, and a more comprehensive understanding of drug abuse in communities or cities can be achieved, providing a scientific basis for formulating targeted drug prevention and control measures, and reducing the occurrence of drug abuse.

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Abstract

The present invention relates to the technical field of drug detection, and discloses a method and device for tracing the source of trace drugs in a sewage pipe network, the method comprising: collecting sewage samples from preset sewage sampling points in a target area; analyzing the sewage samples to determine the substances to be traced in the sewage samples for tracing; obtaining a pre-established substance matching model and environmental monitoring data of the target area; establishing a drug risk map based on the environmental monitoring data; establishing a hydraulic and water quality model of the sewage pipe network; coupling the substance matching model, the drug risk map, and the hydraulic and water quality model of the sewage pipe network to obtain a tracing model; inputting the substances to be traced into the tracing model, and determining the source of the substances to be traced when the same substances are matched from the substance matching model, thereby realizing the tracing of trace drugs, and better and more comprehensively understanding the degree of drug abuse in different regions or communities, and providing a scientific basis for formulating targeted drug prevention and control measures.
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Description

Technical Field

[0001] The present invention relates to the technical field of drug detection, and in particular to a method and device for tracing the source of trace drugs in a sewage pipe network. Background Art

[0002] Drug abuse is a serious problem that has brought serious harm to individuals, families and society. In order to effectively deal with the drug problem, it is necessary to monitor and control drug abuse in a timely manner. As the main transmission channel for urban domestic sewage, the sewage pipe network contains a large amount of social information, including trace drugs and their metabolites.

[0003] Traditional drug monitoring methods are usually limited to the collection of urine or blood samples in vitro, but these samples may be inconvenient to obtain and preserve. In order to understand the abuse of drugs in the community, researchers began to focus on trace drug detection in sewage networks, analyze the concentration of chemical substances in sewage networks, and determine whether there is drug abuse in the community.

[0004] However, this method can only determine whether drugs exist in the community but cannot trace their source, which is not conducive to reducing the occurrence of drug abuse from the source. Summary of the invention

[0005] In view of this, the present invention provides a method and device for tracing the source of trace drugs in a sewage network, so as to solve the problem in the prior art that it is impossible to trace the source of drugs by detecting trace drugs in a sewage network.

[0006] In a first aspect, the present invention provides a method for tracing the source of trace drugs in a sewage network, the method comprising:

[0007] Collect sewage samples from preset sewage sampling points in the target area;

[0008] Analyze the sewage sample to determine the traceable substance in the sewage sample for tracing, the traceable substance includes at least one of the following: the main component of the drug, the metabolite of the drug, the drug marker and the drug isotope;

[0009] Obtaining a pre-established material matching model, wherein the material matching model includes a plurality of substances analyzed from reference samples of different sources and sampling positions corresponding to the reference samples;

[0010] Obtain environmental monitoring data of the target area, including air quality monitoring data, soil quality monitoring data, water quality monitoring data and satellite remote sensing data;

[0011] Establish drug risk maps based on environmental monitoring data;

[0012] Determine the sewage pipe network in the target area and establish a hydraulic water quality model of the sewage pipe network based on water quality monitoring data. The hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of sewage and the water quality of sewage;

[0013] The substance matching model, drug risk map, and sewage network hydraulic and water quality model are coupled to obtain a tracer model;

[0014] The material to be traced is input into the tracing model, and when the same material is matched from the material matching model, the source of the material to be traced is determined.

[0015] By analyzing the sewage samples collected at the preset sewage sampling points, the traceable substances in the sewage samples for tracing are determined, and the determined traceable substances are input into the established tracer model, so that the source of the traceable substances can be determined and the traceability of trace drugs can be achieved. Combining water quality monitoring technology, material source tracing technology and statistical analysis methods, by analyzing the chemical fingerprints of trace drugs in sewage samples and identifying trace drugs from different sources, we can better and comprehensively understand the degree of drug abuse in different regions or communities, and provide a scientific basis for the formulation of targeted drug prevention and control measures. It also solves the limitations of traditional drug monitoring methods. Compared with the detection of traditional urine or blood samples, sewage pipe network samples can cover a wider range of areas and populations, obtain more comprehensive data, and reduce the occurrence of drug abuse from the source.

[0016] In an optional embodiment, the material matching model is established by the following steps:

[0017] Collect reference samples from different sources, including sampling locations;

[0018] Analyze all chemicals contained in the reference sample;

[0019] Based on reference samples and chemical substances, a tracing database is established, wherein the reference samples and the chemical substances have a corresponding relationship;

[0020] Based on the reference samples and sampling positions, a tracer source sample database is established, wherein there is a one-to-one correspondence between the reference samples and the sampling positions;

[0021] A material matching model is established based on the tracer database and the tracer source sample database.

[0022] The established substance matching model not only has a richer reference sample type, which can provide a comprehensive and representative understanding of drug abuse in the community or city, but also has high matching accuracy. It can accurately match trace drugs from different sources, and can provide an in-depth understanding of the source and distribution of drug abuse, providing a scientific basis for pipeline management and drug prevention and control.

[0023] In an optional embodiment, the reference sample also includes a sampling time; the reference samples in the tracer source sample database correspond to the sampling time one by one.

[0024] In an optional implementation, the material to be traced is input into the tracing model, and when the same material is matched from the material matching model, the source of the material to be traced is determined, including:

[0025] According to the substance to be traced, if there are several chemical substances identical to the substance to be traced in the substance matching model, determine the sampling locations corresponding to the identical chemical substances one by one;

[0026] Based on the drug risk map, determine the risk area of ​​the sampling location in the drug risk map;

[0027] Using the hydraulic water quality model of the sewage network, the possible movement trajectory of the substances to be traced and the changes in water quality are simulated according to the sampling location;

[0028] Determine the source of the substance to be traced based on the risk area, possible movement trajectory and water quality changes.

[0029] The final source of the substance to be traced is finally determined by comprehensively analyzing the three different types of data, namely, the risk area, possible movement trajectory, and water quality changes. Not only is the traceability result more accurate, but it can also better and more comprehensively understand the degree of drug abuse in different regions or communities, providing a scientific basis for the formulation of targeted drug prevention and control measures.

[0030] In an optional implementation, the preset sewage sampling point is determined by the following steps:

[0031] Collect background information of the target area and determine the initial candidate sewage sampling points, the background information includes at least one of the following: pollution source distribution data, population density, flow path;

[0032] Determine the types of drugs to be monitored and determine the spatial and temporal distribution characteristics of the drugs;

[0033] According to the background information, drug type, and spatiotemporal distribution characteristics, an evaluation plan is established, which includes the weight of each evaluation factor affecting the contamination of the initial candidate sewage sampling points;

[0034] According to the evaluation scheme, the evaluation value of each initial candidate sewage sampling point is calculated, wherein the evaluation value is the product of each evaluation factor and the corresponding weight;

[0035] According to the evaluation value, the preset sewage sampling point is determined from the initial candidate sewage sampling points.

[0036] Based on the collected background information, the initial candidate sewage sampling points can be preliminarily determined. These points can be potential pollution sources, discharge outlets, etc. Then, according to the established evaluation plan, the evaluation value of each initial candidate sewage sampling point is determined, and finally, according to the evaluation value, the most suitable preset sewage sampling point is determined. Selecting appropriate sampling points in the sewage network and collecting representative sewage samples can provide detection efficiency while ensuring accuracy.

[0037] In an optional implementation, determining a preset sewage sampling point according to the evaluation value includes:

[0038] The initial candidate sewage sampling points corresponding to the evaluation values ​​within the first preset range are used as key sewage sampling points;

[0039] Adjust the weight of each assessment factor and add additional assessment factors based on the environmental conditions around key sewage sampling points;

[0040] Recalculate the assessment value based on the adjusted assessment plan;

[0041] The key sewage sampling points corresponding to the evaluation values ​​within the second preset evaluation value range are used as preset sewage sampling points, wherein the starting value of the second preset evaluation value range is greater than the starting value of the first preset range.

[0042] In an optional embodiment, analyzing the sewage sample to determine the substance to be traced in the sewage sample for tracing includes:

[0043] Pre-treatment of sewage samples, including purification, concentration and extraction;

[0044] Analyze the treated sewage samples and determine the sample mass spectrometry-chromatography data;

[0045] Compare the pre-established mass spectrometry-chromatography library with the mass spectrometry-chromatography data to determine the suspicious drug-related substances in the sewage samples, and take the suspicious substances as substances to be traced;

[0046] The mass spectrometry-chromatography library includes mass spectrometry-chromatography data determined by analyzing drug samples with known concentrations.

[0047] By comparing the pre-established mass spectrometry-chromatography library with the mass spectrometry-chromatography data, the substances to be traced in the sewage samples for traceability can be determined. This can accurately determine whether there are drugs in the sewage samples. In addition, when it is determined that there are drugs in the sewage samples, specific drug-related substances can be determined for traceability.

[0048] In a second aspect, the present invention provides a device for tracing the source of trace drugs in a sewage pipe network, the device comprising:

[0049] A collection module, used to collect sewage samples from preset sewage sampling points in the target area;

[0050] An analysis module, used for analyzing sewage samples to determine the substances to be traced in the sewage samples for tracing, wherein the substances to be traced include at least one of the following: the main components of drugs, metabolites of drugs, drug markers, and drug isotopes;

[0051] A first acquisition module is used to acquire a pre-established material matching model, wherein the material matching model includes a plurality of substances analyzed from reference samples of different sources and sampling positions corresponding to the reference samples;

[0052] The second acquisition module is used to acquire environmental monitoring data of the target area, the environmental monitoring data including air quality monitoring data, soil quality monitoring data, water quality monitoring data and satellite remote sensing data;

[0053] The first module is used to establish a drug risk map based on environmental monitoring data;

[0054] The second establishment module is used to determine the sewage pipe network in the target area and establish a hydraulic water quality model of the sewage pipe network based on the water quality monitoring data. The hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of the sewage and the water quality of the sewage;

[0055] A coupling module is used to couple the material matching model, the drug risk map, and the hydraulic and water quality model of the sewage network to obtain a tracer model;

[0056] The matching module is used to input the material to be traced into the tracing model, and determine the source of the material to be traced when the same material is matched from the material matching model.

[0057] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for tracing trace drugs in a sewage network according to the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0058] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for enabling a computer to execute the method for tracing trace drugs in a sewage network according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 It is a schematic flow chart of a method for tracing the source of trace drugs in a sewage pipe network according to an embodiment of the present invention;

[0061] Figure 2 is a schematic flow chart of a method for establishing a material matching model according to an embodiment of the present invention;

[0062] Figure 3 is a schematic flow chart of a method for determining the source of a substance to be traced according to an embodiment of the present invention;

[0063] Figure 4 is a schematic flow chart of a method for determining a preset sewage sampling point according to an embodiment of the present invention;

[0064] Figure 5 is a structural block diagram of a device for tracing the source of trace drugs in a sewage pipe network according to an embodiment of the present invention;

[0065] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0067] Traditional drug monitoring methods are usually limited to the collection of in vitro urine or blood samples, but these samples may be inconvenient to obtain and preserve. And they can only reflect short-term drug abuse behavior. In addition, although the concentration of trace drugs and metabolites in the sewage network is very low, they can still be detected in sewage due to a large number of community and personal discharges.

[0068] In order to gain a more comprehensive understanding of drug abuse in the community, researchers have begun to focus on trace drug detection and tracing technology in sewage pipe networks. This technology can analyze the presence and source of drugs in sewage samples, helping regulators to more accurately assess drug abuse, and can even be used to assess the extent of drug abuse in different regions or communities. By monitoring and tracing trace drugs in sewage pipe networks, it is helpful to formulate more scientific and targeted drug prevention and control measures to reduce the occurrence of drug abuse at the source.

[0069] Therefore, this application aims to provide a more comprehensive and effective means to monitor and understand drug abuse, which can better understand the situation of drug abuse in the community or city, and provide a scientific basis for the management of the pipeline network and the formulation of drug prevention and control measures.

[0070] According to an embodiment of the present invention, an embodiment of a method for tracing the source of trace drugs in a sewage network is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0071] In this embodiment, a method for tracing the source of trace drugs in a sewage pipe network is provided, which can be used for servers, terminal devices, etc. Figure 1 is a flow chart of a method for tracing the source of trace drugs in a sewage pipe network according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0072] Step S101, collecting sewage samples from preset sewage sampling points in the target area.

[0073] The target area may be an area that needs to be monitored. Before collecting sewage samples, the sewage sampling points in the target area are determined first. The preset sewage sampling points in this embodiment are determined after evaluation and analysis. Analyzing the sewage samples collected at the preset sewage sampling points can improve the accuracy of trace drug tracing and is efficient.

[0074] Step S102, analyzing the sewage sample to determine the substance to be traced in the sewage sample for tracing, the substance to be traced includes at least one of the following: the main component of the drug, the metabolite of the drug, the drug marker and the drug isotope.

[0075] There are often several substances in the collected sewage samples. In this embodiment, the sewage samples need to be analyzed to determine the substance used for tracing from the several substances. The substance has a relationship with the drug, which can be the main component of the drug, the metabolite of the drug, the drug marker, and the drug isotope, etc., and the determined substance used for tracing is used as the substance to be traced. Among them, the types of drugs to be traced include cocaine, marijuana, amphetamine, etc., but are not limited to the above drug types.

[0076] Step S103 : acquiring a pre-established material matching model, wherein the material matching model includes a plurality of materials analyzed from reference samples of different sources and sampling positions corresponding to the reference samples.

[0077] The material matching model can be used for isotope ratio comparison, chemical composition matching, etc., that is, it can be used to match the determined materials to be traced. The model is composed of sampling data from many different sources, including the atmosphere, water, soil, etc. tested by the Environmental Protection Bureau, residential sewage, factory sewage, etc. tested by the Water Affairs Bureau, and urine and blood of drug dealers and drug users tested by the Public Security Bureau. That is, the material matching model includes many different sources and different types of reference samples, and the multiple substances analyzed according to each reference sample, the sampling location of each reference sample, and the source of each reference sample are all recorded in the material matching model.

[0078] Step S104, obtaining environmental monitoring data of the target area, the environmental monitoring data including air quality monitoring data, soil quality monitoring data, water quality monitoring data and satellite remote sensing data.

[0079] Among them, air quality monitoring data can identify drug-related components, soil quality monitoring data can identify drug-related components based on detected soil chemical characteristics, and satellite remote sensing technology can identify poppy planting sites, etc.

[0080] Step S105, based on the environmental monitoring data, a drug risk map is established. The establishment of the drug risk map can be achieved through geographic information system technology and machine learning random forest algorithm. The random forest algorithm can be used to predict the drug risk area in the target area based on the environmental monitoring data, thereby establishing a drug risk map for the target area.

[0081] Step S106, determine the sewage pipe network in the target area, and establish a hydraulic water quality model of the sewage pipe network based on the water quality monitoring data. The hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of the sewage and the water quality of the sewage. The hydraulic water quality model of the sewage pipe network can be used to perform water quality calculations to evaluate the water quality status of the sewage pipe network, and can promptly detect water quality anomalies and pollution sources; at the same time, the model can also be used to simulate the movement trajectory of sewage in the pipe network.

[0082] Step S107, coupling the substance matching model, the drug risk map, and the sewage network hydraulic and water quality model to obtain a tracer model. In this embodiment, data assimilation technology can be used to couple different data sources. The model simulation results can be combined with the observation data to improve the accuracy and reliability of the tracer model.

[0083] Step S108, inputting the substance to be traced into the tracing model, and determining the source of the substance to be traced when the same substance is matched from the substance matching model.

[0084] When the substance to be traced is input into the tracing model, the source of the substance to be traced can be obtained. The source can be a community in the drug risk map, a soil area, a residential sewage collection area, a factory sewage collection area, a drug trafficking suspect's urine storage area, a blood storage area, a factory's polluted gas emission outlet, etc., thereby achieving the purpose of tracing.

[0085] Furthermore, in this embodiment, after determining the source of the substance to be traced, the possible movement trajectory of the drugs can be simulated to determine the transmission path of the substance to be traced, that is, how the traced trace drugs will flow through the sewage network, and where they will move after passing through the source of the substance to be traced, or the drain outlets, sewage pipes, etc. near the source, and the preset sewage sampling points, so as to track the trace drugs in the sewage network. Furthermore, the accuracy of the source of the substance to be traced determined by the tracer model can also be verified by the hydraulic and water quality model of the sewage network.

[0086] In this embodiment, by analyzing the sewage samples collected from the preset sewage sampling points, the traceable substances in the sewage samples for tracing are determined, and the determined substances to be traced are input into the established tracing model, so that the source of the substances to be traced can be determined, and the traceability of trace drugs can be achieved. In this embodiment, by combining water quality monitoring technology, material source tracing technology and statistical analysis methods, by analyzing the chemical fingerprints of trace drugs in sewage samples, trace drugs from different sources can be identified, so as to better and comprehensively understand the degree of drug abuse in different regions or communities, and provide a scientific basis for the formulation of targeted drug prevention and control measures. In addition, this embodiment solves the limitations of traditional drug monitoring methods. Compared with the detection of traditional urine or blood samples, sewage pipe network samples can cover a wider range of areas and populations, obtain more comprehensive data, and reduce the occurrence of drug abuse from the source. It is a more convenient and comprehensive monitoring method.

[0087] Furthermore, by establishing and simulating the hydraulic and water quality model of the sewage network and combining the analysis results, a scientific basis can be provided for network management and drug prevention and control measures, so that prevention and control strategies can be formulated more specifically and resource allocation can be optimized. Compared with traditional urine or blood sample testing, monitoring in sewage networks is real-time and can more accurately reflect the actual situation of drug abuse, which helps to quickly identify problems and take timely measures. In addition, sewage samples are anonymous and do not involve personal privacy issues. Therefore, this method is more conducive to protecting personal privacy. Compared with traditional drug monitoring methods, monitoring in sewage networks can save costs and human resources. Since a large number of samples can be collected at one location, the complexity and cost of sampling and analysis are also reduced.

[0088] Reference Figure 2 As shown, in some optional embodiments, the material matching model is established by the following steps:

[0089] Step S1031, collect reference samples from different sources, and the reference samples include sampling locations. In this embodiment, a suitable material source tracing method can be selected according to environmental conditions, including stable isotope tracing, chemical characteristic tracing, etc. According to the selected material source tracing method, reference samples from different sources are collected, including soil, water samples, etc. As mentioned above, reference samples from different sources can include the atmosphere, water, soil, etc. detected by the Environmental Protection Bureau, residential sewage, factory sewage, etc. detected by the Water Affairs Bureau, and urine and blood of drug dealers and drug users detected by the Public Security Bureau. And each reference sample corresponds to the sampling location when the sample is collected.

[0090] Step S1032, analyzing all chemical substances contained in the reference sample. According to the type of drug or the characteristics of the sample, a suitable analysis method can be selected, including liquid chromatography-mass spectrometry (LC-MS / MS), gas chromatography-mass spectrometry (GC-MS / MS), etc. In this embodiment, liquid chromatography-mass spectrometry technology can be used to analyze different types of samples, so as to analyze the material components contained in each reference sample, obtain characteristic data of the tracer substance, including isotope ratios, chemical characteristics, etc., and obtain structural information and concentration data of the tracer substance.

[0091] Step S1033: A tracer database is established based on the reference sample and the chemical substance, wherein the reference sample and the chemical substance have a corresponding relationship. The tracer database records the characteristics of tracer substances from different sources.

[0092] Step S1034: Based on the reference samples and the sampling positions, a tracer source sample database is established, wherein there is a one-to-one correspondence between the reference samples and the sampling positions. The tracer source sample database can be classified according to different environmental conditions and source regions.

[0093] Step S1035, based on the tracer database and the tracer source sample database, a material matching model is established. The material matching model can be used for isotope ratio comparison, chemical composition matching, etc. Isotope ratio comparison, chemical composition matching, etc. can be performed based on the input material to be traced to find the matching material, so as to determine the sampling position corresponding to the matching material, that is, to determine the sampling position corresponding to the source of the material to be traced.

[0094] Furthermore, in this embodiment, the parameters and input data of the material matching model, including the initial isotope ratio of the chemical substance and the isotope ratio of the tracer source, can also be adjusted according to different environmental conditions. Consider the impact of biogeochemical processes in the environment on the tracer substance, including water flow rate, COD, ammonia nitrogen, as well as temperature, rainfall, etc. Use unknown samples for verification, test the accuracy and reliability of the model, and compare it with other source information. According to the verification results, the process and model of the tracer technology are adjusted and updated, and the scheme is continuously optimized to maintain effectiveness as new data and conditions emerge. Use the optimized material matching model to explain the existence of the source of the substance or the source of the substance to be traced, and identify the type of pollution source, regional distribution and other information. Finally, a tracer report can also be generated, including source tracing methods, result interpretation and prediction data. The report is used for decision-making and application in environmental protection, law enforcement, prevention and control.

[0095] The substance matching model established in this embodiment not only has a richer reference sample type, which can fully and representatively understand the drug abuse situation in the community or city, but also has high matching accuracy, which can accurately match trace drugs from different sources, and can deeply understand the source and distribution of drug abuse, providing a scientific basis for pipeline management and drug prevention and control.

[0096] In some optional embodiments, the reference sample also includes a sampling time; and there is a one-to-one correspondence between the reference sample and the sampling time in the tracer source sample database.

[0097] In this embodiment, the source of trace drugs can be traced more accurately according to the sampling time, and the abuse of drugs in the community or city can be understood more accurately, thereby playing a role of real-time monitoring.

[0098] Reference Figure 3 As shown, in some optional implementations, the substance to be traced is input into the tracing model, and when the same substance is matched from the substance matching model, the source of the substance to be traced is determined, including:

[0099] Step S1081, according to the substance to be traced, if there are several chemical substances identical to the substance to be traced in the matching substance matching model, determine the sampling positions corresponding to the same chemical substances. Since the matching substance matching model includes a lot of sampling data, in general, when matching according to the substance to be traced, several identical substances are often matched, and further screening is required based on the matched identical substances.

[0100] Step S1082, according to the drug risk map, determine the risk area of ​​the sampling location in the drug risk map. As described above, when matching according to the substance to be traced, several identical substances are often matched, and each identical substance corresponds to a sampling location. The risk area of ​​the sampling location in the drug risk map can be determined according to the drug risk map. If there is a sampling location that is not in the drug risk map, it will be removed. If it is in the drug risk map, the risk area where the sampling location is located is determined.

[0101] Step S1083, using the sewage pipe network hydraulic water quality model, simulate the possible movement trajectory of the substance to be traced and the change of water quality according to the sampling location. Water quality indicates the physical, chemical and biological characteristics of the water body. According to the change of water quality and the sampling location, the location where the water quality changes in the pipe network can be further determined, which may be the discharge port of drugs, etc.

[0102] Step S1084, based on the risk area, possible movement trajectory and water quality changes, determine the source of the substance to be traced from the risk area.

[0103] In this embodiment, the final source of the substance to be traced is finally determined by comprehensively determining the risk area, possible movement trajectory, and water quality change. Not only is the traceability result more accurate, but it can also better and more comprehensively understand the degree of drug abuse in different regions or communities, providing a scientific basis for the formulation of targeted drug prevention and control measures.

[0104] Reference Figure 4 As shown, in some optional implementations, the preset sewage sampling point is determined by the following steps:

[0105] Step S1011, collect background information of the target area and determine the initial candidate sewage sampling points, the background information includes at least one of the following: pollution source distribution data, population density, flow path. In this embodiment, the background information can be used as an evaluation factor, wherein the pollution source distribution data includes the pollution source distance, which can indicate the distance of each initial candidate sewage sampling point from the potential pollution source, and the closer initial candidate sewage sampling point may be more susceptible to pollution. Population density can indicate the population density around each initial candidate sewage sampling point, and a higher population density may lead to more pollution emissions. The flow path can indicate whether the initial candidate sewage sampling point is on the main path of water flow or wind direction, and points on the flow path may be more susceptible to the spread of pollution. The initial candidate sewage sampling points can be preliminarily determined based on the collected background information of the target area.

[0106] Step S1012, determine the type of drugs to be monitored and determine the spatiotemporal distribution characteristics of the drugs. The spatiotemporal distribution characteristics can indicate the location where the corresponding drug type may exist and the degree of impact of each drug on the environment. Among them, the drug type and the spatiotemporal distribution characteristics of the drugs are both evaluation factors.

[0107] Step S1013, establishing an evaluation plan based on background information, drug type, and spatiotemporal distribution characteristics, wherein the evaluation plan includes the weight of each evaluation factor affecting the pollution of the initial candidate sewage sampling point.

[0108] In this embodiment, expert opinions, historical data or mathematical methods can be used to assign weights. For example, if a subjective method is used to assign weights, assuming that the distance to the pollution source is the most important factor in the evaluation, the distance to the pollution source can be given a weight of 0.5; population density is second, so it can be given a weight of 0.3; the flow path is relatively unimportant, so it can be given a weight of 0.2. If marijuana is a key monitoring target among drug types, it will be given a larger weight; if the location of the drug has a greater impact on sewage and a greater impact on the environment, it will be given a larger weight.

[0109] Step S1014: Calculate the evaluation value of each initial candidate sewage sampling point according to the evaluation scheme, wherein the evaluation value is the product of each evaluation factor and the corresponding weight.

[0110] For each initial candidate sewage sampling point, the evaluation value of each initial candidate sewage sampling point can be calculated according to each evaluation factor and the corresponding weight. Specifically, the value of the evaluation factor of the pollution source distance can be obtained by measuring the distance from the initial candidate sewage sampling point to the nearest potential pollution source. Population density can be calculated by analyzing the population and area around the initial candidate sewage sampling point. The flow path can be determined by studying the local water flow or wind direction pattern to determine whether the initial candidate sewage sampling point is located on the main flow path, and if so, it is assigned. The value of the drug type can be calculated as a fixed value, and the value of the spatiotemporal distribution characteristics can be calculated based on the distance value and environmental quality. After determining the value of each evaluation factor, the value of each evaluation factor can be multiplied by the corresponding weight, and then the results of all evaluation factors corresponding to the initial candidate sewage sampling point are added to obtain the evaluation value corresponding to the initial candidate sewage sampling point. Taking the example of the evaluation factors corresponding to the above background information as an example, the evaluation value = (pollution source distance value × 0.5) + (population density value × 0.3) + (flow path value × 0.2).

[0111] Step S1015: determining a preset sewage sampling point from the initial candidate sewage sampling points according to the evaluation value.

[0112] In this embodiment, initial candidate sewage sampling points can be preliminarily determined based on the collected background information. These points can be potential pollution sources, discharge ports, etc. Then, according to the established evaluation scheme, the evaluation value of each initial candidate sewage sampling point is determined, and finally, according to the evaluation value, the most suitable preset sewage sampling point is determined. Selecting appropriate sampling points in the sewage pipe network and collecting representative sewage samples can provide detection efficiency while ensuring accuracy.

[0113] In some optional implementations, determining a preset sewage sampling point according to the evaluation value includes:

[0114] Step S10151, taking the initial candidate sewage sampling points corresponding to the evaluation values ​​within the first preset range as key sewage sampling points;

[0115] Step S10152, adjusting the weight of each evaluation factor according to the environmental conditions around the key sewage sampling point, and adding additional evaluation factors;

[0116] Step S10153, recalculating the evaluation value according to the adjusted evaluation scheme;

[0117] Step S10154: taking the key sewage sampling points corresponding to the evaluation values ​​within the second preset evaluation value range as preset sewage sampling points, wherein the starting value of the second preset evaluation value range is greater than the starting value of the first preset range.

[0118] In this embodiment, the evaluation scheme can also be optimized for different environmental conditions according to actual conditions. If a specific area is focused on, the weight can be adjusted or a new evaluation factor can be introduced. A sensitivity analysis is performed to evaluate the impact of different weights and factor values ​​on the final result; based on the analysis results, the weights or factors are adjusted to optimize the scheme. Furthermore, the results can be verified, that is, actual sample collection is performed at the optimally selected sewage sampling points to verify the accuracy of the optimization results; the actual sample data is analyzed and compared with the optimization results. According to the verification results, the process and parameters of the sewage sampling point optimization selection technology are adjusted and updated. As new data and conditions emerge, the scheme is continuously optimized to maintain effectiveness. Finally, a report on the optimally selected sampling points can be generated, including the basis for point selection, the optimization process, and the results analysis, and the report can be used for decision-making and management in environmental monitoring, drug prevention and control, etc.

[0119] In some optional embodiments, analyzing the sewage sample to determine the substance to be traced in the sewage sample for tracing includes:

[0120] Step S1021, pre-processing the sewage sample, including purification, concentration, and extraction. When a sewage sample suspected of containing drugs is collected, first select a suitable analysis method and instrument according to the sewage sample to be analyzed, and pre-process the sewage sample, including purification, concentration, and extraction, to obtain a sewage sample suitable for analysis.

[0121] Step S1022, analyzing the treated sewage sample to determine the sample mass spectrometry-chromatography data.

[0122] Step S1023, compare the pre-established mass spectrometry-chromatography library with the mass spectrometry-chromatography data to determine the suspicious drug-related substances present in the sewage sample, and take the suspicious substances as substances to be traced. The mass spectrometry-chromatography library includes mass spectrometry-chromatography data determined by analyzing drug samples of known concentrations.

[0123] In this embodiment, drug standards of known concentrations are used to prepare a series of solutions of different drug types of different concentrations as drug samples. A mass spectrometer is used to measure the mass spectrometry-chromatography data of these drug samples, and a mass spectrometry-chromatography library is established. The pre-treated sewage sample is then injected into the mass spectrometer for analysis to obtain sample mass spectrometry-chromatography data. By observing the sample mass spectrometry-chromatography data, it can be seen that some peaks appear at specific mass-to-charge ratio values ​​(m / z). Compare the sample mass spectrometry-chromatography data with the mass spectrometry-chromatography data of drug standards of known concentrations. If peaks similar to the mass spectrometry-chromatography data of drug standards of known concentrations appear in the sample mass spectrometry-chromatography data of the sample, then these peaks may represent the presence of drugs in the sewage sample. Subsequently, the mass spectrometry-chromatography library is used for comparison and confirmation to determine the substances to be traced related to the drug type in the sewage sample.

[0124] Furthermore, the analytical method and instrument parameters can be adjusted according to the actual situation, and the method can be optimized for different sample types or analytical objectives to improve the analytical results. Standard samples are used for verification to verify the accuracy and reliability of the analytical method and compare the results with other methods or laboratories. Based on the verification results, the process and parameters of the chemical analysis technology are adjusted and updated, and the scheme is continuously optimized to maintain effectiveness as new data and conditions emerge. Finally, an analysis report can be generated, including the analytical method, result interpretation and quality control data, and the report can be used for decision-making and application in drug detection, forensics, research and other fields.

[0125] In this embodiment, a pre-established mass spectrometry-chromatography library is compared with mass spectrometry-chromatography data to determine the substances to be traced in the sewage sample for tracing. This can accurately determine whether there are drugs in the sewage sample, and when it is determined that there are drugs in the sewage sample, specific drug-related substances can be determined for tracing.

[0126] In this embodiment, a device for tracing the source of trace drugs in a sewage pipe network is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0127] This embodiment provides a device for tracing the source of trace drugs in a sewage pipe network, such as Figure 5 As shown, including:

[0128] A collection module 201 is used to collect sewage samples from preset sewage sampling points in a target area;

[0129] The analysis module 202 is used to analyze the sewage sample and determine the substance to be traced in the sewage sample for tracing, wherein the substance to be traced includes at least one of the following: the main component of the drug, the metabolite of the drug, the drug marker and the drug isotope;

[0130] A first acquisition module 203 is used to acquire a pre-established material matching model, wherein the material matching model includes a plurality of materials analyzed from reference samples of different sources and sampling positions corresponding to the reference samples;

[0131] The second acquisition module 204 is used to acquire environmental monitoring data of the target area, where the environmental monitoring data includes air quality monitoring data, soil quality monitoring data, water quality monitoring data, and satellite remote sensing data;

[0132] A first establishing module 205 is used to establish a drug risk map based on environmental monitoring data;

[0133] The second establishment module 206 is used to determine the sewage pipe network in the target area and establish a hydraulic water quality model of the sewage pipe network based on the water quality monitoring data. The hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of the sewage and the water quality of the sewage;

[0134] A coupling module 207 is used to couple the substance matching model, the drug risk map, and the sewage network hydraulic and water quality model to obtain a tracer model;

[0135] The matching module 208 is used to input the material to be traced into the tracing model, and determine the source of the material to be traced when the same material is matched from the material matching model.

[0136] The trace drug tracing device in the sewage network in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0137] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0138] The embodiment of the present invention also provides a computer device having the above Figure 5 The device for tracing trace amounts of drugs in the sewage network is shown.

[0139] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0140] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0141] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0142] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created by the use of a computer device based on the presentation of a small program landing page, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0143] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0144] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0145] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0146] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for tracing the source of trace drugs in sewage pipe networks. It is characterized in that The method comprises: Collect sewage samples from preset sewage sampling points in the target area; Analyze the sewage sample to determine the substance to be traced in the sewage sample for tracing, wherein the substance to be traced includes at least one of the following: a main component of drugs, a metabolite of drugs, a drug marker, and a drug isotope; Acquiring a pre-established material matching model, wherein the material matching model includes a plurality of substances analyzed from reference samples of different sources and sampling positions corresponding to the reference samples; Acquiring environmental monitoring data of the target area, wherein the environmental monitoring data includes air quality monitoring data, soil quality monitoring data, water quality monitoring data, and satellite remote sensing data; Establishing a drug risk map based on the environmental monitoring data; Determine the sewage pipe network in the target area, and establish a hydraulic water quality model of the sewage pipe network based on the water quality monitoring data, wherein the hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of the sewage and the water quality of the sewage; The substance matching model, the drug risk map, and the sewage network hydraulic and water quality model are coupled to obtain a tracer model; Inputting the substance to be traced into the tracing model, and determining the source of the substance to be traced when the same substance is matched from the substance matching model; The material matching model is established by the following steps: collecting the reference samples from different sources, wherein the reference samples include the sampling locations; analyzing all chemical substances contained in the reference sample; Based on the reference sample and the chemical substance, establishing a tracing database, wherein there is a corresponding relationship between the reference sample and the chemical substance; Based on the reference samples and the sampling positions, establishing a tracer source sample database, wherein there is a one-to-one correspondence between the reference samples and the sampling positions; Establishing the material matching model based on the tracer database and the tracer source sample database; The step of inputting the substance to be traced into the tracing model and determining the source of the substance to be traced when the same substance is matched from the substance matching model includes: According to the substance to be traced, if a plurality of chemical substances identical to the substance to be traced are found in the substance matching model, determining the sampling positions corresponding to the identical chemical substances one by one; According to the drug risk map, determining the risk area of ​​the sampling location in the drug risk map; Using the sewage network hydraulic water quality model, according to the sampling location, simulate the possible movement trajectory of the substance to be traced and the change of water quality; The source of the substance to be traced is determined based on the risk area, the possible movement trajectory and the water quality change.

2. The method according to claim 1, It is characterized in that The reference sample also includes a sampling time; the reference samples in the tracer source sample database correspond one to one with the sampling time.

3. The method according to claim 1, It is characterized in that The preset sewage sampling point is determined by the following steps: Collecting background information of the target area to determine initial candidate sewage sampling points, wherein the background information includes at least one of the following: pollution source distribution data, population density, and flow path; Determine the types of drugs to be monitored and determine the spatial and temporal distribution characteristics of the drugs; Establishing an evaluation scheme based on the background information, the drug type, and the spatiotemporal distribution characteristics, wherein the evaluation scheme includes the weight of each evaluation factor affecting the contamination of the initial candidate sewage sampling point; According to the evaluation scheme, calculating the evaluation value of each initial candidate sewage sampling point, wherein the evaluation value is the product of each evaluation factor and the corresponding weight; According to the evaluation value, the preset sewage sampling point is determined from the initial candidate sewage sampling points.

4. The method according to claim 3, It is characterized in that Determining the preset sewage sampling point according to the evaluation value includes: The initial candidate sewage sampling point corresponding to the evaluation value within the first preset range is used as a key sewage sampling point; According to the environmental conditions around the key sewage sampling points, the weight of each assessment factor is adjusted, and additional assessment factors are added; Recalculating the evaluation value according to the adjusted evaluation scheme; The key sewage sampling point corresponding to the evaluation value within a second preset evaluation value range is used as the preset sewage sampling point, wherein the starting value of the second preset evaluation value range is greater than the starting value of the first preset range.

5. The method according to claim 1, It is characterized in that The step of analyzing the sewage sample to determine the substance to be traced in the sewage sample for tracing includes: Pre-treating the sewage sample, wherein the pre-treatment includes: purification, concentration, and extraction; Analyze the treated sewage sample to determine the sample mass spectrometry-chromatography data; Compare the mass spectrometry-chromatography data with the pre-established mass spectrometry-chromatography library to determine the suspicious drug-related substances present in the sewage sample, and use the suspicious substances as the substances to be traced; The mass spectrometry-chromatography library includes mass spectrometry-chromatography data determined by analyzing drug samples of known concentrations.

6. A device for tracing the source of trace drugs in sewage pipe networks. It is characterized in that The device comprises: A collection module, used to collect sewage samples from preset sewage sampling points in the target area; An analysis module, used for analyzing the sewage sample to determine the substance to be traced in the sewage sample for tracing, wherein the substance to be traced includes at least one of the following: a main component of drugs, a metabolite of drugs, a drug marker, and a drug isotope; The first acquisition module is used to acquire a pre-established material matching model, wherein the material matching model includes a plurality of materials analyzed from reference samples from different sources and sampling positions corresponding to the reference samples; the first acquisition module establishes the material matching model including: collecting the reference samples from different sources, wherein the reference samples include the sampling positions; analyzing all chemical substances contained in the reference samples; establishing a tracing database based on the reference samples and the chemical substances, wherein a corresponding relationship exists between the reference samples and the chemical substances; establishing a tracing source sample database based on the reference samples and the sampling positions, wherein a one-to-one corresponding relationship exists between the reference samples and the sampling positions; establishing the material matching model based on the tracing database and the tracing source sample database; A second acquisition module is used to acquire environmental monitoring data of the target area, wherein the environmental monitoring data includes air quality monitoring data, soil quality monitoring data, water quality monitoring data and satellite remote sensing data; A first establishing module is used to establish a drug risk map based on the environmental monitoring data; A second establishment module is used to determine the sewage pipe network in the target area, and establish a hydraulic water quality model of the sewage pipe network based on the water quality monitoring data, wherein the hydraulic water quality model of the sewage pipe network is used to determine the movement trajectory of the sewage and the water quality of the sewage; A coupling module, used for coupling the substance matching model, the drug risk map, and the sewage network hydraulic and water quality model to obtain a tracer model; A matching module, used for inputting the substance to be traced into the tracing model, and determining the source of the substance to be traced when the same substance is matched from the substance matching model; The matching module also includes: according to the substance to be traced, when there are several chemical substances identical to the substance to be traced in the substance matching model, determining the sampling locations corresponding to the identical chemical substances one by one; according to the drug risk map, determining the risk area of ​​the sampling location in the drug risk map; using the hydraulic and water quality model of the sewage network, according to the sampling location, simulating the possible movement trajectory of the substance to be traced and the water quality changes; determining the source of the substance to be traced according to the risk area, the possible movement trajectory and the water quality changes.

7. A computer device, It is characterized in that include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for tracing the source of trace drugs in a sewage network as described in any one of claims 1 to 5 by executing the computer instructions.

8. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method for tracing the source of trace drugs in a sewage network as described in any one of claims 1-5.

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