A water environment detection system for urban rivers

By designing an urban river water environment detection system, we solve the existing technology problems of systematic big data analysis and dynamic adjustment of detection cycles and indicators, achieve efficient and accurate water environment detection and rapid identification of pollution sources, and improve water quality. Systematicness and efficiency of pollution control.

CN117871493BActive Publication Date: 2025-01-24HANDAN ZEYUAN HYDROLOGICAL TECH SERVICE CO LTD
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Patent Information

Application Number
CN202410096630.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-01-24
Publication Date
2025-01-24
Estimated Expiration
2044-01-24

AI Technical Summary

Technical Problem

When monitoring river water environmental pollution sources with long lengths and many inlets, it is difficult to realize systematic big data analysis, which affects the efficiency of water pollution control, and fails to dynamically adjust the detection cycle and detection indicators, affecting the efficiency of detection. and accuracy.

Method used

An urban river water environment detection system is designed, including a river pretreatment unit, a sewage information collection unit, a river water environment detection unit and a detection data storage unit. The system achieves comprehensive detection and management of the river water environment through river area division, sampling point layout, sewage information collection, detection indicator adjustment, and data storage and processing.

Benefits of technology

By dynamically adjusting the detection cycle and detection indicators, the efficiency and accuracy of water environment detection are improved, the source of pollution can be quickly found, timely treatment is achieved, and the systematicness and efficiency of water pollution control are improved.

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Patent Text Reader

Abstract

The present invention discloses a system for detecting water environment of an urban river, and relates to the technical field of water environment detection, including a river preprocessing unit, wherein the river preprocessing unit is used to collect selected urban river information to be detected, and divide the river into regions based on the acquired river information, and after the region division is completed, sampling points are arranged in sequence in different river regions, and water samples are collected based on the arranged sampling points. The present invention proposes a system for detecting water environment of an urban river, wherein the river is equally divided into different sequentially connected regions by means of a set river preprocessing unit, and the divided river regions are named, and sampling points are arranged in different river regions, and the sampling points in the same river region are named, thereby recording the collection location of the collected water samples to be detected, and collecting the location information of the sewage outlets in each river region by means of a set sewage information collection unit.
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Description

Technical Field

[0001] The invention relates to the technical field of water environment detection, and in particular to a city river water environment detection system. Background Art

[0002] With the accelerated development of my country's industrial process, environmental problems have become more prominent, and environmental safety issues have also attracted more and more attention from all walks of life. Among them, water environment detection and management technologies have become more and more mature for water pollution problems. Water environment detection and management technologies are of great significance to the treatment of water pollution. In the Chinese patent application number 202211394407.8, "a water environment pollution analysis and management system and method based on big data are disclosed, the analysis and management system includes a big data acquisition unit, a river area division unit, a big data analysis unit, a modeling unit and a visualization output unit; the big data acquisition unit is used to obtain basic water environment data and pollution source data; the river area division unit is used to divide the river water environment into a number of detection areas of the same volume and interconnected by a spatial three-dimensional grid division method; the big data analysis unit is used to receive the basic water environment data and pollution source data of the big data acquisition unit for sorting, analysis and diagnosis; the visualization output unit receives the data display models obtained by the modeling unit through the display terminal and displays the output analysis results. The invention is more comprehensive through multiple big data acquisition units in conjunction with big data analysis, which helps to improve the level of water environment pollution analysis and management."

[0003] This comparative document only solves the problem that the existing technology often only conducts local monitoring of areas such as sewage outlets along the river, lacks comprehensive means of obtaining big data information, and for rivers with long lengths and many inlets, the current means of monitoring river water environment pollution sources are prone to being unable to further accurately monitor responses and form systematic big data analysis, which affects the effectiveness of water pollution control. It does not take into account the need to adjust the detection cycle according to the actual pollution hazard situation, and for sewage of the industrial wastewater type, the detection indicators should be adjusted according to the specific production process of the discharge enterprise to ensure the efficiency and accuracy of the detection, and the detection data should be traced to quickly find the source of pollution and achieve timely control. Summary of the invention

[0004] The purpose of the present invention is to provide a city river water environment detection system to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: a system for detecting water environment of an urban river, comprising a river preprocessing unit, wherein the river preprocessing unit is used to collect selected urban river information to be detected, and to divide the river into regions based on the acquired river information, and after the region division is completed, to sequentially arrange sampling points in different river regions, and to collect water samples based on the arranged sampling points;

[0006] A sewage discharge information collection unit, the sewage discharge information collection unit is used to collect the location information of all sewage discharge outlets in the river, classify the sewage bodies, and based on the type of the sewage bodies, collect the corresponding sewage body source information;

[0007] A river water environment detection unit, which is used to detect water samples collected from sampling points, adjust detection indicators based on water sample types, and dynamically adjust subsequent water sample detection cycles based on the detection results;

[0008] The detection data storage unit is used to upload the data information obtained from the water sample detection to the constructed water sample database for collection, and to classify and trace the collected data information so as to manage the river water environment.

[0009] Preferably, the river channel preprocessing unit includes a river channel information collection module and a river channel area division module. The river channel information collection module is used to collect the selected urban river channel information to be detected, including the depth, width, length and flow area of ​​the selected river channel, and determine the specifications of the river channel based on the collected river channel information. The river channel area division module is used to divide the river channel into different sequentially connected areas based on the length information of the river channel obtained by the river channel information collection module, and perform a naming operation on the divided river channel areas with non-repetitive digital codes as the content.

[0010] Preferably, the river preprocessing unit further includes a sampling point layout module and a water sample collection module to be tested. The sampling point layout module is used to layout sampling points in different river areas, and the sampling points are laid out according to the width information of the river area. Specifically, when the river width is greater than 1.5 km, 5 equidistant vertical lines need to be set. When 0.1≤the river width is less than 1.5 km, 3 vertical lines should be set, and they are required to be set at the left, middle and right positions respectively. When 0.05≤the river width is less than 0.1 km, 2 vertical lines are usually set and laid out on the left and right sides respectively. When the river width is less than 0.05 km, 3 vertical lines should be set and laid out on the left and right sides respectively. When the water sample collection module is used, only one vertical line is required, and based on the vertical line, deep sampling points, middle sampling points and surface sampling points are arranged, and the sampling points in the same river channel area are named with non-repetitive digital codes. The user of the water sample collection module collects water samples to be tested from the river channel area based on the arranged sampling points, and adds labels to the water samples to be tested with the digital code information of the river channel area and the digital code information of the sampling points.

[0011] Preferably, the sewage discharge information collection unit includes a sewage outlet location information collection module and a sewage discharge body classification module. The sewage outlet location information collection module is used to collect the location information of the sewage outlets in each river area, and can be divided into sewage outlets with fixed discharge points and sewage outlets without fixed discharge points based on the sewage discharge location. The sewage outlets with fixed discharge points include sewage-discharging industrial enterprises, centralized sewage treatment enterprises in industrial parks, and domestic sewage treatment plants. The sewage outlets without fixed discharge points include the application of fertilizers and pesticides in the planting industry and the discharge of manure in the aquaculture industry. The location information of the sewage outlets without fixed discharge points is dynamically updated according to the water sample detection cycle. The sewage discharge body classification module is used to classify the water bodies discharged from the sewage outlets, which can be divided into industrial wastewater and domestic water. Based on the location information of the sampling points and the sewage outlets, the types of water samples to be tested collected at each sampling point are determined.

[0012] Preferably, the sewage discharge information collection unit also includes a sewage discharge enterprise information collection module and a domestic sewage discharge information collection module. The sewage discharge enterprise information collection module is used to collect information on the sewage discharge enterprise to which the corresponding sewage outlet belongs when the sewage discharge body classification module determines that the type of water sample to be tested collected at the sampling point is industrial wastewater. Specifically, it collects information on the actual production process of the enterprise. The domestic sewage discharge information collection module is used to collect information on domestic sewage discharge enterprises to which the corresponding sewage outlet belongs when the sewage discharge body classification module determines that the type of water sample to be tested collected at the sampling point is domestic water. Specifically, it collects information on residential living areas corresponding to the residential sewage treated by the enterprise.

[0013] Preferably, the river water environment detection unit includes a detection index adjustment module and a water environment detection module. The detection index adjustment module is used to dynamically adjust the detection index of the water sample to be detected based on the type of water sample to be detected obtained by the sewage classification module, and when it is determined that the type of water sample to be detected is industrial wastewater, combined with the actual production process information of the sewage discharge enterprise, so as to carry out targeted water quality detection. The water environment detection module is used to detect the water sample to be detected based on the adjusted detection index, and carefully fill in the water sample detection form. The content in the table includes detection index, sampling point, sampling time, water sample label and name of the sampler. Specifically, water sample detection can be carried out through three-dimensional fluorescence spectrum detection technology, and the water quality three-dimensional fluorescence spectrum is represented by a matrix. The specific expression is:

[0014]

[0015] In the formula, represents the correlation coefficient, Indicates the total amount of substances contained in the water sample to be tested. Indicates the first species of substances, represents the emission spectrum matrix, The laser spectrum matrix is ​​represented, and the obtained three-dimensional fluorescence spectrum of water quality is mean-centered to increase the difference between the spectral information of different substances, thereby improving the accuracy of pollutant detection and identification, and feature extraction is performed on the processed water quality spectrum to detect and identify the types of pollutants in the water sample to be tested.

[0016] Preferably, the river water environment detection unit further includes a detection cycle adjustment module, which is used to calculate the degree of harm of the sewage discharged from each sewage outlet to the river through a pollution hazard algorithm based on the detection results of the water samples to be detected obtained by the water environment detection module. The specific calculation formula is as follows:

[0017]

[0018] In the formula, Indicates the percentage of pollution hazard, Indicates the number of pollutant types in the water sample to be tested. Indicates the actual concentration of pollutants in the water sample to be tested. It represents the standard concentration of pollutants, and judges the pollution hazard level based on the calculation result. When 0<calculation result ≤25%, it is judged as pollution hazard level one; when 25%<calculation result ≤50%, it is judged as pollution hazard level two; when 50%<calculation result ≤75%, it is judged as pollution hazard level three; when 75%<calculation result ≤100%, it is judged as pollution hazard level four. Water sample detection cycle one, water sample detection cycle two, water sample detection cycle three and water sample detection cycle four are set corresponding to the pollution hazard levels, and water sample detection cycle one>water sample detection cycle two>water sample detection cycle three>water sample detection cycle four. Based on the judged pollution hazard level, the water sample detection cycle is dynamically adjusted.

[0019] Preferably, the detection data storage unit includes a detection data collection module, a detection data classification module and a detection data processing module. The detection data collection module is used to upload the data information obtained from water sample detection to a constructed water sample database for collection, and upload the data information in a water sample detection table corresponding to the water sample and the location information of sewage outlets in each river area to the water sample database. The detection data classification module is used to classify the data in the water sample database according to data categories, and sort the same data in descending order according to the storage time. The detection data processing module is used to process the data information in the water sample database, specifically to establish a connection between the data information obtained from water sample detection and the data information in the corresponding water sample detection table and the location information of sewage outlets in each river area, so as to achieve rapid search for the source of pollutants.

[0020] Compared with the prior art, the beneficial effects of the present invention at least include: the present invention proposes an urban river water environment detection system, which divides the river into different sequentially connected areas through the set river preprocessing unit, and performs a naming operation on the divided river areas, and arranges sampling points in different river areas, and performs a naming operation on the sampling points in the same river area, so as to realize recording the collection location of the collected water samples to be tested, collects the location information of the sewage outlets in each river area through the set sewage discharge information collection unit, and classifies the water bodies discharged from the sewage outlets, and collects the information of enterprises that discharge industrial wastewater and domestic water, and dynamically adjusts the detection indicators based on the collected enterprise information through the set river water environment detection unit, so as to carry out targeted water quality detection, improve detection efficiency and accuracy, and judge the pollution hazard level, and dynamically adjust the detection cycle based on the judgment information, which can effectively reduce the workload of detection when the pollution hazard level is low, and effectively improve the detection work efficiency, and collects the water sample detection related data through the set detection data storage unit, and classifies and traces the collected data information, so as to realize the rapid search for the source of pollutants. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the process of a river pretreatment unit according to an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of the flow of a pollution information collection unit according to an embodiment of the present invention;

[0024] Figure 4 This is a schematic diagram of the process of a river water environment detection unit according to an embodiment of the present invention;

[0025] Figure 5 It is a schematic diagram of the process of detecting a data storage unit according to an embodiment of the present invention.

[0026] In the figure: 100, river pretreatment unit; 101, river information collection module; 102, river area division module; 103, sampling point layout module; 104, water sample collection module for inspection; 200, sewage information collection unit; 201, sewage outlet location information collection module; 202, sewage body classification module; 203, sewage enterprise information collection module; 204, domestic sewage information collection module; 300, river water environment detection unit; 301, detection index adjustment module; 302, water environment detection module; 303, detection period adjustment module; 400, detection data storage unit; 401, detection data collection module; 402, detection data classification module; 403, detection data processing module. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] See also Figure 1-5 The present invention provides a technical solution: a system for detecting water environment of an urban river, comprising a river preprocessing unit 100, the river preprocessing unit 100 is used to collect selected urban river information to be detected, and divide the river into regions based on the acquired river information, and after the region division is completed, sampling points are arranged in different river regions in turn, and water samples are collected based on the arranged sampling points;

[0029] The sewage information collection unit 200 is used to collect the location information of all sewage outlets in the river, classify the sewage bodies, and based on the types of sewage bodies, collect the corresponding sewage body source information;

[0030] The river water environment detection unit 300 is used to detect the water samples collected from the sampling points, adjust the detection index based on the water sample type, and dynamically adjust the subsequent water sample detection cycle based on the detection results;

[0031] The detection data storage unit 400 is used to upload the data information obtained from the water sample detection to the constructed water sample database for collection, and to classify and trace the collected data information so as to manage the river water environment.

[0032] The river channel preprocessing unit 100 includes a river channel information collection module 101 and a river channel area division module 102. The river channel information collection module 101 is used to collect the selected urban river channel information to be detected, including the depth, width, length and flow area of ​​the selected river channel, and determine the specifications of the river channel based on the collected river channel information. The river channel area division module 102 is used to divide the river channel into different sequentially connected areas based on the length information of the river channel obtained by the river channel information collection module 101, and perform a naming operation on the divided river channel areas with non-repeating digital codes as the content;

[0033] The river channel preprocessing unit 100 also includes a sampling point layout module 103 and a water sample collection module 104. The sampling point layout module 103 is used to layout sampling points in different river channel areas, and the sampling points are laid out according to the width information of the river channel area. Specifically, when the river channel width is greater than 1.5 km, 5 equidistant vertical lines need to be set. When 0.1 ≤ the river channel width is less than 1.5 km, 3 vertical lines should be set, and they are required to be set at the left, middle and right positions respectively. When 0.05 ≤ the river channel width is less than 0.1 km, 2 vertical lines are usually set on the left and right sides respectively. When the river channel width is less than 0.05 km, 3 vertical lines are set on the left and right sides respectively. When , only one vertical line is laid out, and based on the vertical line, deep sampling points, middle sampling points and surface sampling points are laid out, and the sampling points in the same river channel area are named with non-repetitive digital codes. The user of the water sample collection module 104 collects water samples to be tested from the river channel area based on the laid out sampling points, and adds labels to the water samples to be tested with the digital code information of the river channel area and the digital code information of the sampling points;

[0034] The sewage information collection unit 200 includes a sewage outlet location information collection module 201 and a sewage body classification module 202. The sewage outlet location information collection module 201 is used to collect the location information of sewage outlets in each river area, and can be divided into sewage outlets with fixed discharge points and sewage outlets without fixed discharge points based on the sewage discharge location. The sewage outlets with fixed discharge points include sewage-discharging industrial enterprises, industrial park sewage centralized treatment enterprises and residential sewage treatment plants, and the sewage outlets without fixed discharge points include fertilizer and pesticide application in the planting industry and manure discharge in the aquaculture industry. The location information of the sewage outlets without fixed discharge points is dynamically updated according to the water sample detection cycle. The sewage body classification module 202 is used to classify the water bodies discharged from the sewage outlets, which can be divided into industrial wastewater and domestic water. Based on the location information of the sampling point and the sewage outlet, the type of water sample to be tested collected at each sampling point is determined;

[0035] The sewage information collection unit 200 also includes a sewage enterprise information collection module 203 and a domestic sewage information collection module 204. The sewage enterprise information collection module 203 is used to collect information on the sewage enterprise to which the corresponding sewage outlet belongs when the sewage body classification module 202 determines that the type of the water sample to be tested collected at the sampling point is industrial wastewater, specifically to collect the actual production process information of the enterprise. The domestic sewage information collection module 204 is used to collect information on the domestic sewage discharge enterprise to which the corresponding sewage outlet belongs when the sewage body classification module 202 determines that the type of the water sample to be tested collected at the sampling point is domestic water, specifically to collect information on the residential living area corresponding to the residential sewage treated by the enterprise;

[0036] The river water environment detection unit 300 includes a detection index adjustment module 301 and a water environment detection module 302. The detection index adjustment module 301 is used to dynamically adjust the detection index of the water sample to be detected based on the type of water sample to be detected obtained by the sewage classification module 202, and when it is determined that the type of water sample to be detected is industrial wastewater, combined with the actual production process information of the sewage discharge enterprise, so as to carry out targeted water quality detection. The water environment detection module 302 is used to detect the water sample to be detected based on the adjusted detection index, and carefully fill in the water sample detection form. The content in the table includes detection index, sampling point, sampling time, water sample label and name of the sampler. Specifically, water sample detection can be carried out through three-dimensional fluorescence spectrum detection technology, and the three-dimensional fluorescence spectrum of water quality is represented by a matrix. The specific expression is:

[0037]

[0038] In the formula, represents the correlation coefficient, Indicates the total amount of substances contained in the water sample to be tested. Indicates the first species of substances, represents the emission spectrum matrix, The laser spectrum matrix is ​​represented, and the obtained three-dimensional fluorescence spectrum of water quality is processed by mean centering to increase the difference between the spectral information of different substances, thereby improving the accuracy of pollutant detection and identification, and the feature extraction of the processed water quality spectrum is performed to detect and identify the types of pollutants in the water sample to be tested;

[0039] The river water environment detection unit 300 also includes a detection cycle adjustment module 303, which is used to calculate the degree of harm of the sewage discharged from each sewage outlet to the river based on the detection results of the water sample to be detected obtained by the water environment detection module 302 through the pollution hazard algorithm. The specific calculation formula is as follows:

[0040]

[0041] In the formula, Indicates the percentage of pollution hazard, Indicates the number of pollutant types in the water sample to be tested. Indicates the actual concentration of pollutants in the water sample to be tested. Indicates the standard concentration of pollutants, and judges the pollution hazard level based on the calculation result. When 0<calculation result≤25%, it is judged as pollution hazard level 1; when 25%<calculation result≤50%, it is judged as pollution hazard level 2; when 50%<calculation result≤75%, it is judged as pollution hazard level 3; when 75%<calculation result≤100%, it is judged as pollution hazard level 4, and sets water sample detection cycle 1, water sample detection cycle 2, water sample detection cycle 3 and water sample detection cycle 4 corresponding to the pollution hazard level, and water sample detection cycle 1>water sample detection cycle 2>water sample detection cycle 3>water sample detection cycle 4, and dynamically adjusts the water sample detection cycle based on the judged pollution hazard level;

[0042] The detection data storage unit 400 includes a detection data collection module 401, a detection data classification module 402 and a detection data processing module 403. The detection data collection module 401 is used to upload the data information obtained from the water sample detection to the constructed water sample database for collection, and upload the data information in the water sample detection table corresponding to the water sample and the location information of the sewage outlets in each river area to the water sample database. The detection data classification module 402 is used to classify the data in the water sample database according to the data category, and sort the same data in descending order according to the storage time. The detection data processing module 403 is used to process the data information in the water sample database, specifically to establish a connection between the data information obtained from the water sample detection and the data information in the corresponding water sample detection table and the location information of the sewage outlets in each river area, so as to realize the rapid search for the source of pollutants.

[0043] Working principle: The river information collection module 101 collects the river information of the selected city to be detected, and the river area division module 102 divides the river into different sequentially connected areas based on the river length information obtained by the river information collection module 101, and names the divided river areas with non-repeating digital codes. The sampling point layout module 103 arranges sampling points in different river areas according to the width information of the river areas, and names the sampling points in the same river area with non-repeating digital codes. The water sample collection module 104 arranges the sampling points based on the arranged sampling points. The sampling point collects water samples to be tested from the river area, and adds labels with the digital coding information of the river area and the digital coding information of the sampling point to the water samples to be tested. The location information of the sewage outlets in each river area is collected through the sewage outlet location information collection module 201, and the water bodies discharged from the sewage outlets are classified through the sewage body classification module 202. When the sewage body classification module 202 determines that the type of the water sample to be tested collected at the sampling point is industrial wastewater, the actual production process information of the enterprise is collected through the sewage enterprise information collection module 203. When the sewage body classification module 202 determines that the type of the water sample to be tested collected at the sampling point is industrial wastewater, the actual production process information of the enterprise is collected through the sewage enterprise information collection module 203. When it is domestic water, the information of the residential areas corresponding to the domestic sewage treated by the enterprise is collected through the domestic sewage information collection module 204. The detection index adjustment module 301 dynamically adjusts the detection index of the water sample to be tested based on the type of water sample to be tested obtained by the sewage classification module 202, so as to carry out targeted water quality testing and improve the detection efficiency and accuracy. The water environment detection module 302 detects the water sample to be tested based on the adjusted detection index and identifies the type of pollutants in the water sample to be tested. The detection cycle adjustment module 303 judges the pollution hazard level, and based on the judgment According to the pollution hazard level, the water sample detection cycle is dynamically adjusted, and the data information obtained by the water sample detection through the detection data collection module 401, the data information in the water sample detection table corresponding to the water sample and the location information of the sewage outlets in each river area are uploaded to the constructed water sample database for collection, and the data in the water sample database is classified according to the data category through the detection data classification module 402, and the data information obtained by the water sample detection is linked with the data information in the corresponding water sample detection table and the location information of the sewage outlets in each river area through the detection data processing module 403, so as to realize the rapid search for the source of pollutants.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0045] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for detecting water environment in an urban river, comprising a river preprocessing unit (100), characterized in that: The river channel preprocessing unit (100) is used to collect selected urban river channel information to be detected, and divide the river channel into regions based on the acquired river channel information, and after the region division is completed, sampling points are arranged in different river channel regions in sequence, and water samples are collected based on the arranged sampling points; A sewage discharge information collection unit (200), the sewage discharge information collection unit (200) being used to collect the location information of all sewage discharge outlets in the river, classify the sewage discharge bodies, and based on the type of the sewage discharge bodies, collect the corresponding sewage discharge body source information; A river water environment detection unit (300), the river water environment detection unit (300) being used to detect water samples collected from sampling points, and to adjust detection indicators based on water sample types, and to dynamically adjust subsequent water sample detection cycles based on detection results; A detection data storage unit (400), the detection data storage unit (400) is used to upload data information obtained from water sample detection to a constructed water sample database for collection, and to classify and trace the collected data information so as to manage the river water environment; The river channel preprocessing unit (100) comprises a river channel information collection module (101) and a river channel area division module (102), wherein the river channel information collection module (101) is used to collect information of a selected urban river channel to be detected, including the depth, width, length and flow area of ​​the selected river channel, and determine the specifications of the river channel based on the collected river channel information, and the river channel area division module (102) is used to divide the river channel into different sequentially connected areas based on the length information of the river channel obtained by the river channel information collection module (101), and perform a naming operation on the divided river channel areas with non-repetitive digital codes as the content; The river channel preprocessing unit (100) further comprises a sampling point layout module (103) and a water sample collection module (104). The sampling point layout module (103) is used to layout sampling points in different river channel areas, and the sampling points are laid out according to the width information of the river channel area. Specifically, when the river channel width is greater than 1.5 km, five equidistant vertical lines need to be set. When 0.1 ≤ the river channel width is less than 1.5 km, three vertical lines should be set, and they are required to be set at the left, middle and right positions respectively. When 0.05 ≤ the river channel width is less than 0.1 km, two vertical lines are usually set and laid out at the left and right sides respectively. When the river channel width is less than 0.05 km, When the water sample to be tested is collected from the river area, one vertical line is laid out, and based on the vertical line, deep sampling points, middle sampling points and surface sampling points are laid out, and the sampling points in the same river area are named with non-repetitive digital codes. The water sample collection module (104) is used to collect water samples to be tested from the river area based on the laid out sampling points, and add labels with the digital code information of the river area and the digital code information of the sampling points to the water samples to be tested; The sewage discharge information collection unit (200) comprises a sewage discharge outlet location information collection module (201) and a sewage discharge body classification module (202). The sewage discharge outlet location information collection module (201) is used to collect the location information of sewage discharge outlets in each river channel area, and can be divided into sewage discharge outlets with fixed discharge points and sewage discharge outlets without fixed discharge points based on the sewage discharge location. The sewage discharge outlets with fixed discharge points include sewage discharge industrial enterprises, industrial park sewage centralized treatment enterprises and residential sewage treatment plants, and the sewage discharge outlets without fixed discharge points include fertilizer and pesticide application in the planting industry and manure discharge in the aquaculture industry. The location information of the sewage discharge outlets without fixed discharge points is dynamically updated according to the water sample detection cycle. The sewage discharge body classification module (202) is used to classify the water bodies discharged from the sewage discharge outlets into industrial wastewater and domestic water. Based on the location information of the sampling point and the sewage discharge outlet, the type of the water sample to be tested collected at each sampling point is determined; The sewage information collection unit (200) further comprises a sewage enterprise information collection module (203) and a domestic sewage information collection module (204). The sewage enterprise information collection module (203) is used to collect information on the sewage enterprise to which the corresponding sewage outlet belongs when the sewage body classification module (202) determines that the type of the water sample to be tested collected at the sampling point is industrial wastewater, specifically to collect information on the actual production process of the enterprise. The domestic sewage information collection module (204) is used to collect information on the domestic sewage discharge enterprise to which the corresponding sewage outlet belongs when the sewage body classification module (202) determines that the type of the water sample to be tested collected at the sampling point is domestic water, specifically to collect information on the residential living area corresponding to the domestic sewage treated by the enterprise. The river water environment detection unit (300) comprises a detection index adjustment module (301) and a water environment detection module (302). The detection index adjustment module (301) is used to dynamically adjust the detection index of the water sample to be detected based on the type of the water sample to be detected obtained by the sewage classification module (202), and when it is determined that the type of the water sample to be detected is industrial wastewater, it is combined with the actual production process information of the sewage discharge enterprise, so as to carry out targeted water quality detection. The water environment detection module (302) is used to detect the water sample to be detected based on the adjusted detection index, and carefully fill in the water sample detection form, the content of which includes the detection index, sampling point, sampling time, water sample label and the name of the sampler. Specifically, the water sample detection can be carried out through three-dimensional fluorescence spectrum detection technology, the water quality three-dimensional fluorescence spectrum is represented by a matrix, and the obtained water quality three-dimensional fluorescence spectrum is mean-centered to increase the difference between the spectral information of different substances, thereby improving the accuracy of pollutant detection and identification, and feature extraction is carried out on the processed water quality spectrum to detect and identify the type of pollutant in the water sample to be detected; The river water environment detection unit (300) further includes a detection cycle adjustment module (303), which is used to calculate the degree of harm of sewage discharged from each sewage outlet to the river based on the detection result of the water sample to be detected obtained by the water environment detection module (302) through a pollution hazard algorithm, and judge the pollution hazard level based on the calculation result, when 0<calculation result≤25%, it is judged as pollution hazard level one, when 25%<calculation result≤50%, it is judged as pollution hazard level two, when 50%<calculation result≤75%, it is judged as pollution hazard level three, and when 75%<calculation result≤100%, it is judged as pollution hazard level four, and set water sample detection cycle one, water sample detection cycle two, water sample detection cycle three and water sample detection cycle four corresponding to the pollution hazard level, and water sample detection cycle one>water sample detection cycle two>water sample detection cycle three>water sample detection cycle four, and dynamically adjust the water sample detection cycle based on the judged pollution hazard level.

2. The urban river water environment detection system according to claim 1 is characterized in that: The detection data storage unit (400) comprises a detection data collection module (401), a detection data classification module (402) and a detection data processing module (403). The detection data collection module (401) is used to upload the data information obtained from the water sample detection to a constructed water sample database for collection, and upload the data information in the water sample detection table corresponding to the water sample and the location information of the sewage outlets in each river area to the water sample database. The detection data classification module (402) is used to classify the data in the water sample database according to the data category, and sort the same data in descending order according to the storage time. The detection data processing module (403) is used to process the data information in the water sample database, specifically to establish a connection between the data information obtained from the water sample detection and the data information in the corresponding water sample detection table and the location information of the sewage outlets in each river area, so as to realize the rapid search for the source of the pollutants.

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