An intelligent monitoring and detection system for water quality at river and lake outlets

Abstract

The present invention discloses an intelligent monitoring and detection system for water quality of river and lake outlets, relates to the technical field of river and lake pollution monitoring, and solves the technical problem that the prior art cannot comprehensively consider the mutual influence between the outlets of various rivers and lakes, resulting in the inability to guarantee the water quality of rivers and lakes even after the water quality of the outlets of rivers and lakes reaches the standard; the present invention obtains corresponding water quality standard data through matching by a central monitoring module, and timely determines whether the water quality of the outlets of various rivers and lakes reaches the standard; regularly inverts the telemetry images of the catchment area, and locates abnormal river and lake outlets in combination with the water quality detection data; not only can the outlets of various rivers and lakes be monitored in a timely manner, but also the water quality status of the catchment area can be retrospectively warned; the present invention locates abnormal river and lake outlets based on the combined influencing factors and the water quality detection data of the outlets of various rivers and lakes, and updates the original water quality standard data while issuing the warning, so as to effectively improve the detection accuracy of water quality of the outlets of rivers and lakes.

Description

Technical Field

[0001] The present invention belongs to the field of river and lake pollution monitoring, and relates to an intelligent monitoring and detection technology for water quality at river and lake outlets, and specifically to an intelligent monitoring and detection system for water quality at river and lake outlets. Background Art

[0002] The main source of river pollution comes from pollution emissions from river outlets. In addition, the number of river and lake outlets is huge, and there are many tributaries. The types of primary substances that serve as pollution sources are diverse. When they converge into the mainstream, some special substances among them may generate larger pollution sources due to their mutual connections. Manual monitoring is prone to omissions and can only detect the results of water quality changes. There is a lack of means to determine the source of the factors that cause water quality deterioration, and it cannot truly reflect the actual pollution discharge situation of river and lake outlets. Therefore, real-time monitoring of river and lake outlets through intelligent monitoring technology is the development direction.

[0003] The invention patent application of the prior art (publication number CN114219253A) discloses an intelligent monitoring and analysis system for river outlets. By establishing a water quality monitoring microstation, the water quality sensor parameters of key factors are used to quantitatively judge the pollution situation of the outlet based on video AI recognition, thereby achieving scientific research and judgment assistance.

[0004] In the prior art, when conducting water quality testing, water quality sensors are generally used to determine whether the water quality of river and lake outlets meets the standards. The solution adopted is to place a water quality sensor at a single river or lake outlet to measure whether the water quality index of a single outlet meets the standards. However, there is a lack of comprehensive consideration of the mutual influence between the original substances corresponding to the pollutants discharged from each river or lake outlet. When detecting that the water quality of a single river or lake outlet has deteriorated after converging with the main stream of the river or lake, an additional separate water quality sensor needs to be placed in the main stream for testing. In addition, it is impossible to effectively trace the outlets that have a greater impact on the water quality of the main stream of the river or lake. As a result, even if the water quality of each river or lake outlet has met the standards, the water quality of the entire river or lake cannot be guaranteed. Therefore, an intelligent monitoring and detection system for water quality at river or lake outlets is urgently needed. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an intelligent monitoring and detection system for water quality of river and lake outlets, which is used to solve the technical problem that the prior art can only determine whether the water quality of a single river and lake outlet meets the standard, but cannot comprehensively consider the mutual influence between the river and lake outlets, resulting in the inability to guarantee the water quality of rivers and lakes after the water quality of the river and lake outlets meets the standard.

[0006] To achieve the above-mentioned object, the first aspect of the present invention provides an intelligent monitoring and detection system for water quality at river and lake outlets, comprising a central monitoring module, and a data acquisition module and a database connected thereto, wherein the data acquisition module collects water quality detection data through a water quality detection station;

[0007] The central monitoring module collects water quality test data through the data acquisition module, and determines whether the water quality test data is normal based on the water quality standard data matched in the database; if yes, no processing is done; if no, an early warning is issued;

[0008] The central monitoring module triggers the comprehensive detection signal regularly, and obtains the remote sensing image of the catchment area in a timely manner through the database; the remote sensing image is inverted, and the joint influencing factors are determined based on the inversion results;

[0009] Calculate the outlet assessment coefficient based on the combined influencing factors and water quality detection data; locate abnormal river and lake outlets based on the outlet assessment coefficient; and issue early warnings for abnormal river and lake outlets through the central monitoring module.

[0010] Preferably, the database includes a GIS digital map access database, an enterprise water quality benchmark database, and a water quality discharge standard database;

[0011] Wherein, the water quality discharge standard is formulated by the comprehensive sewage discharge standard;

[0012] The GIS digital map mutual access database includes the river and lake outlets to be detected, the pollutant discharge enterprises corresponding to the river and lake outlets to be detected, and the pollutant types corresponding to the pollutant discharge enterprises;

[0013] The number of the water quality testing stations is the same as the number of the river and lake outlets to be tested, and the water quality testing stations include cameras and water quality testers;

[0014] The enterprise water quality benchmark database and water quality discharge standard database correspond to the pollutant-discharging enterprises one by one;

[0015] Preferably, the central monitoring module communicates and / or is electrically connected to the data acquisition module and the database respectively; and the data acquisition module communicates and / or is electrically connected to the water quality testing station;

[0016] The water quality testing station is set up at each river and lake outlet; the water quality testing station is used to monitor the drainage status and drainage water quality of each river and lake outlet.

[0017] Preferably, the data collection module collects the water quality test data through a water quality test station, and identifies the sewage discharge enterprise corresponding to the water quality test data and the corresponding enterprise information through the sewage pipe network;

[0018] The water quality standard data is obtained by matching from a database based on the identified enterprise information; wherein the enterprise information includes the types of pollutants and outputs corresponding to the subdivided industries.

[0019] Preferably, the central monitoring module obtains corresponding water quality benchmark data by subdividing industry identification, and obtains the water quality standard data of river and lake outlets based on the water quality benchmark data, including:

[0020] Extracting the water quality benchmark data of the pollutant-discharging enterprise to obtain a number of water quality detection indicators; marking the water quality detection indicators as i, i=1, 2, ..., n, and n is a positive integer;

[0021] The benchmark concentration of the water quality test index is marked as JNi, and the output of the pollutant-discharging enterprise is marked as CL; the standard concentration of the index ZBNi is obtained by the formula ZBNi=α×CL×JNi; where α is a proportional coefficient greater than 0;

[0022] The corresponding indicator standard concentrations of each polluting enterprise are matched and superimposed, and then integrated to generate water quality standard data after comparison with the water quality emission standards; among which, the water quality emission standards are formulated by the comprehensive sewage emission standards.

[0023] Preferably, the central monitoring module compares the water quality test data with the water quality standard data to determine whether the corresponding water quality meets the standard, including:

[0024] Extract the concentration of each water quality detection index in the water quality detection data and mark it as the real-time detection concentration;

[0025] The real-time detection concentration is compared with the corresponding data in the water quality standard data to determine whether the real-time detection concentration exceeds the standard; if so, the corresponding water quality detection data is judged to be abnormal; if not, the water quality detection data is judged to be normal.

[0026] Preferably, the central monitoring module counts the duration of time when no water quality warning information appears in each catchment area, and marks it as normal duration; when the normal duration exceeds the duration threshold, the comprehensive detection signal is triggered regularly; and based on the comprehensive detection signal, the remote sensing image of the catchment area is obtained and analyzed from the database, including:

[0027] Analyze the remote sensing image by image inversion technology to identify pollutants therein;

[0028] The original biomass corresponding to the pollutant is obtained in combination with the geographic information, and the joint influencing factors are determined based on the original biomass; wherein the original biomass is an indispensable element for the generation of pollutants.

[0029] Preferably, the central monitoring module calculates and obtains the outlet assessment coefficient based on the combined influencing factors and water quality detection data, including:

[0030] Determine the concentration of the joint influencing factor based on the inversion result, marked as LYN; obtain the concentration of the factor matching the joint influencing factor in each water quality detection data, marked as SYN;

[0031] The outlet evaluation coefficient PPX is calculated by the formula PPX=β×(SYN-LYN); wherein β is a proportional coefficient greater than 0.

[0032] Preferably, the central monitoring module compares the outlet assessment coefficient of each river and lake outlet with the outlet assessment threshold; when the outlet assessment coefficient is greater than the outlet assessment threshold, it determines that the corresponding river and lake outlet is abnormal; and evaluates all river and lake outlets associated with the catchment area, and locates and warns abnormal river and lake outlets.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. The present invention obtains the corresponding water quality standard data through the central monitoring module, and timely determines whether the water quality of each river and lake outlet meets the standard; after each river and lake outlet in the catchment area meets the standard, the remote sensing image of the catchment area is inverted regularly, and the joint influencing factors are decomposed according to the inversion results, and the outlet assessment coefficient is calculated in combination with the water quality detection data, so as to locate the abnormal river and lake outlets; not only can the river and lake outlets be monitored in time, but also the water quality status of the catchment area can be backtracked and warned.

[0035] 2. The present invention determines the joint influencing factors according to the inversion results of the catchment area, locates the abnormal river and lake outlets based on the joint influencing factors and the water quality detection data of each river and lake outlet, updates the original water quality standard data while issuing early warning, and can effectively improve the water quality detection accuracy of river and lake outlets. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a schematic diagram of the working steps of the present invention;

[0038] Figure 2 It is a schematic diagram of the system principle of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0040] In order to better understand the solutions of the embodiments of the present application, some relevant terms and concepts that may be involved in the embodiments of the present application are first introduced below.

[0041] Remote sensing images: When surface water such as rivers, lakes and reservoirs is polluted, their physical, chemical and biological characteristics will also change accordingly. Remote sensing image technology can identify water pollution sources, pollution range, area and concentration by analyzing the spectral effects of different pollutants. This includes the use of Sentinel-2A images, PlanetScope images, GF-1 images, etc. Based on the spectral difference characteristics between general water bodies and polluted water bodies, a single-band threshold method, band ratio method, band difference method and river pollution index method are constructed to identify polluted river water bodies.

[0042] Inversion: The core of remote sensing water quality inversion is to use limited water quality sampling points to invert all water bodies in the image by establishing a model between the measured data and the reflectivity of the remote sensing image bands. For example, by analyzing the band combination and the measured data, water quality parameters such as ammonia nitrogen, total phosphorus and chemical oxygen demand can be quantitatively inverted.

[0043] See also Figure 1-Figure 2 The first embodiment of the present invention provides a system for intelligent monitoring and detection of water quality at river and lake outlets, comprising:

[0044] The central monitoring module collects water quality test data through the data acquisition module, and determines whether the water quality test data is normal based on the water quality standard data matched in the database; if yes, no processing is done; if no, an early warning is issued;

[0045] The central monitoring module triggers the comprehensive detection signal regularly, and obtains the remote sensing image of the catchment area in a timely manner through the database; the remote sensing image is inverted, and the joint influencing factors are determined based on the inversion results;

[0046] Calculate the outlet assessment coefficient based on the combined influencing factors and water quality detection data; locate abnormal river and lake outlets based on the outlet assessment coefficient; and issue early warnings for abnormal river and lake outlets through the central monitoring module.

[0047] When testing the water quality of river and lake outlets, the existing technology generally uses various water quality sensors to determine whether the discharged water quality meets the standards, and uses cameras to monitor the discharge dynamics. However, when the corresponding water quality test data of all river and lake outlets in a catchment area are normal, reactions may still occur in the catchment area and cause pollution. The existing technology does not take this pollution cause into account.

[0048] After obtaining water quality test data, the present invention applies the method of matching and acquiring corresponding water quality standard data through the central monitoring module, and timely judging whether the water quality of each river and lake outlet meets the standard; after each river and lake outlet in the catchment area meets the standard, the remote sensing image of the catchment area is regularly inverted, and the joint influencing factors are decomposed according to the inversion results, and the outlet assessment coefficient is calculated in combination with the water quality test data, so as to locate the abnormal river and lake outlets; not only can each river and lake outlet be monitored in time, but also the water quality status of the catchment area can be back-tracked and warned.

[0049] In the present application, the central monitoring module communicates and / or is electrically connected to the data acquisition module and the database respectively; and the data acquisition module communicates and / or is electrically connected to the water quality testing station; a water quality testing station is set up at each river and lake outlet; the water quality testing station is used to monitor the drainage status and drainage water quality of each river and lake outlet.

[0050] The central monitoring module is mainly used for data processing and data exchange with the data acquisition module and database. The data acquisition module is mainly used to obtain water quality test data and monitoring images from the water quality testing station. A water quality testing station will be set up at each river and lake outlet. Each water quality testing station is equipped with a camera and a water quality detector. The camera is used to monitor the discharge dynamics of the river and lake outlet, and the water quality detector is used to collect water quality test data.

[0051] The catchment area in the present application refers to the confluence area of ​​rivers and lakes, or refers to the scientific explanation of the catchment area; the river and lake outlets associated with the catchment area mean that the water discharged from these outlets will be collected in the catchment area within a certain period of time, that is, the water quality of the catchment area is affected by the river and lake outlets associated with it.

[0052] The data acquisition module in the application of the present invention collects water quality test data through water quality testing stations, and identifies the polluting enterprises and corresponding enterprise information corresponding to the water quality test data through the sewage pipe network; based on the identified enterprise information, water quality standard data is matched from the database; wherein the enterprise information includes the types and outputs of pollutants corresponding to the subdivided industries.

[0053] Each river and lake outlet is used by at least one sewage-discharging enterprise. After the river and lake outlets are identified and determined by the GIS digital map access database, enterprise water quality benchmark database and water quality discharge standard database included in the database, the sewage-discharging enterprise associated with the river and lake outlet and the corresponding enterprise information can be determined in combination with the distribution of the sewage pipe network. Enterprise information mainly includes subdivided industries, output (sewage discharge volume, sewage type), etc. According to the subdivided industries, the corresponding water quality standard data can be matched from the database, that is, the water quality standard data corresponding to different river and lake outlets are not the same.

[0054] In a preferred embodiment, the central monitoring module obtains corresponding water quality benchmark data by subdividing industry identification, and obtains water quality standard data of river and lake outlets based on the water quality benchmark data, including:

[0055] Extract the water quality benchmark data of the pollutant-discharging enterprises to obtain several water quality detection indicators; mark the water quality detection indicators as i, i=1, 2,…, n, and n is a positive integer; mark the benchmark concentration of the water quality detection indicators as JNi, and the output of the pollutant-discharging enterprises as CL; obtain the indicator standard concentration ZBNi through the formula ZBNi=α×CL×JNi; match and superimpose the indicator standard concentrations corresponding to each pollutant-discharging enterprise, and integrate them to generate water quality standard data after comparing with the water quality discharge standard.

[0056] The database stores water quality benchmark data set for subdivided industries in the comprehensive sewage discharge standard. When obtaining the enterprise information of the pollutant-discharging enterprise, the corresponding water quality benchmark data can be matched. The water quality benchmark data includes the benchmark concentrations of several water quality detection indicators. For example, the sulfur ion concentration allowed to be discharged per unit of output in a subdivided industry is 0.5 mol / L. Based on the output of the pollutant-discharging enterprise, the standard concentration of the indicator allowed to be discharged can be obtained.

[0057] By matching the water quality test indicators of each sewage discharge enterprise associated with the same river or lake outlet, and superimposing the concentration of the same water quality test indicators, the maximum allowable concentration of several water quality test indicators can be obtained, and this maximum allowable concentration is compared with the water quality discharge standard issued by the comprehensive sewage discharge standard. If it exceeds the water quality discharge standard, it is replaced with the water quality test indicator concentration in the water quality discharge standard. Finally, the maximum allowable concentrations of several water quality test indicators are integrated to generate water quality standard data.

[0058] The central monitoring module in the present invention compares the water quality test data with the water quality standard data to determine whether the corresponding water quality meets the standard, including:

[0059] Extract the concentration of each water quality detection index in the water quality detection data and mark it as the real-time detection concentration; compare the real-time detection concentration with the corresponding data in the water quality standard data to determine whether the real-time detection concentration exceeds the standard; if yes, determine that the corresponding water quality detection data is abnormal; if not, determine that the water quality detection data is normal.

[0060] When the real-time detection concentration exceeds the requirements in the water quality standard data, the water quality detection data is judged to be abnormal, which to some extent can also be said to be the case that the discharged water quality does not meet the standards. At this time, an early warning can be issued; if the water quality detection data is normal, no processing is required, and the water quality detection data can be displayed in real time through the central monitoring module.

[0061] In the present invention, the central monitoring module counts the duration of time when no water quality warning information appears in each catchment area, and marks it as normal duration; when the normal duration exceeds the duration threshold, a comprehensive detection signal is triggered regularly; and based on the comprehensive detection signal, a telemetry image of the catchment area is obtained and analyzed from the database, including:

[0062] Remote sensing images are analyzed through image inversion technology to identify pollutants. The original substances corresponding to the pollutants are obtained in combination with geographic information, and the joint influencing factors are determined based on the original substances. Among them, the original substances are an indispensable element for the generation of pollutants.

[0063] When the water quality test data of the river and lake outlets corresponding to the catchment area are normal, it should be determined whether the catchment area is polluted due to the mutual reaction of the discharged substances from the river and lake outlets. Of course, the identification and detection of the catchment area does not necessarily need to be carried out when the river and lake outlets in the catchment area are normal, and it can be carried out at any time according to the settings.

[0064] When the normal duration exceeds the duration threshold, the comprehensive detection signal is triggered regularly; the duration threshold is set based on experience, such as one hour, one line, etc. The central monitoring module obtains the telemetry image of the catchment area from the database based on the comprehensive detection signal. The clarity or timeliness of the telemetry image must be ensured. Of course, the image of the catchment area can also be obtained by drone photography.

[0065] Identify pollutants in the telemetry image, analyze the pollutants in combination with the geographic information of the catchment area (the type of factory corresponding to the outlet), determine which raw substances react to generate the pollutants, and further decompose the raw substances to determine the corresponding water quality influencing factors, i.e., the combined influencing factors. It should be noted that if the influencing factors of water quality can be determined by one or more possible decompositions / combinations of pollutants, the above raw substances can also be directly used as combined influencing factors. The water quality influencing factors here can be water quality detection indicators or other emissions in addition to water quality detection indicators.

[0066] The central monitoring module in the present invention calculates and obtains the outlet assessment coefficient based on the combined influencing factors and water quality detection data, including:

[0067] Determine the concentration of the joint influencing factor based on the inversion result, marked as LYN; obtain the concentration of the factor matching the joint influencing factor in each water quality detection data, marked as SYN;

[0068] Among them, the combined influencing factors are the influencing factors of water quality that can be determined by one or more possible decompositions / combinations mentioned above; the factors matching the combined influencing factors in each water quality detection data are the discharge substances of each river and lake outlet corresponding to the influencing factors of water quality in the water quality detection data of each river and lake outlet corresponding to the catchment area mentioned above; each water quality monitoring data is the data fed back by the water quality detection station placed at each river and lake outlet;

[0069] The outlet evaluation coefficient PPX is calculated by the formula PPX=β×(SYN-LYN); wherein β is a proportional coefficient greater than 0.

[0070] The factors in the water quality detection data corresponding to the pollution outlets of each river and lake are matched according to the joint influencing factors. If a match is found, the discharge assessment coefficient of the pollution outlet of the river or lake is calculated. Otherwise, the pollution outlets of other rivers and lakes in the catchment area are analyzed and calculated.

[0071] It should be noted that there is a correlation between the joint influencing factors in the calculation formula of the outlet assessment coefficient and the acquisition time of the matching factors. For example, after the sewage from the outlet of a river or lake reaches the catchment area one hour later, the water quality test data near the previous hour should be extracted as much as possible after determining the joint influencing factors; in other cases, the water quality test data should be extracted according to the principle.

[0072] The central monitoring module compares the outlet assessment coefficient of each river and lake outlet with the outlet assessment threshold; when the outlet assessment coefficient is greater than the outlet assessment threshold, the corresponding river and lake outlet is judged to be abnormal; and all river and lake outlets associated with the catchment area are evaluated, and abnormal river and lake outlets are located and warned.

[0073] When the outlet assessment coefficient is greater than the outlet assessment threshold, it means that the river or lake outlet has contributed to the abnormal water quality (or water pollution) in the catchment area, and the river or lake outlet is considered abnormal. In this way, several river and lake outlets in each catchment area can be evaluated, and timely warning is required if an abnormality occurs.

[0074] It is worth noting that after locating and warning of abnormal river and lake outlets, the water quality standard data can also be updated based on the outlet assessment coefficient, including adding water quality detection indicators and indicator standard concentrations that were not previously available, and updating the indicator standard concentrations of the original water quality detection indicators, so as to improve the accuracy of water quality detection and avoid secondary pollution caused by low detection accuracy.

[0075] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0076] Working principle of the present invention:

[0077] Identify the enterprises and the corresponding river and lake outlets in the GIS map layer, establish water quality testing stations at each river and lake outlet, and connect the water quality testing stations with the data collection module.

[0078] The central monitoring module collects water quality test data through the data acquisition module, and determines whether the water quality test data is normal based on the matching water quality standard data in the database; if yes, no processing is done; if not, an early warning is issued.

[0079] The comprehensive detection signal is triggered regularly through the central monitoring module, and the telemetry image of the catchment area is obtained in time through the database; the telemetry image is inverted, and the joint influencing factors are determined based on the inversion results.

[0080] Calculate the outlet assessment coefficient based on the combined influencing factors and water quality detection data; locate abnormal river and lake outlets based on the outlet assessment coefficient; and issue early warnings for abnormal river and lake outlets through the central monitoring module.

[0081] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent monitoring and detection system for water quality at river and lake outlets, characterized in that: include: Central monitoring module, and data collection module and database connected thereto, the data collection module collects water quality test data through water quality test stations; The central monitoring module collects water quality test data through the data acquisition module, and determines whether the water quality test data is normal based on the water quality standard data matched in the database; if yes, no processing is done; if no, an early warning is issued; The central monitoring module triggers the comprehensive detection signal regularly, and obtains the remote sensing image of the catchment area in a timely manner through the database; the remote sensing image is inverted, and the joint influencing factors are determined based on the inversion results; Calculate the outlet assessment coefficient based on the combined influencing factors and water quality test data; locate abnormal river and lake outlets based on the outlet assessment coefficient; and issue early warnings for abnormal river and lake outlets through the central monitoring module; The data collection module collects the water quality test data through the water quality test station, and identifies the sewage discharge enterprise corresponding to the water quality test data and the corresponding enterprise information through the sewage pipe network; Based on the identified enterprise information, the water quality standard data is obtained from the database through matching; wherein the enterprise information includes the types and outputs of pollutants corresponding to the subdivided industries; The central monitoring module obtains corresponding water quality benchmark data by subdividing industry identification, and obtains the water quality standard data of river and lake outlets based on the water quality benchmark data, including: Extracting the water quality benchmark data of the pollutant-discharging enterprise to obtain a number of water quality detection indicators; marking the water quality detection indicators as i, i=1, 2, ..., n, and n is a positive integer; The benchmark concentration of the water quality test index is marked as JNi, and the output of the pollutant-discharging enterprise is marked as CL; the standard concentration of the index ZBNi is obtained by the formula ZBNi=α×CL×JNi; where α is a proportional coefficient greater than 0; Match and superimpose the corresponding index standard concentrations of each pollutant-discharging enterprise, and integrate and generate water quality standard data after comparing with the water quality discharge standard; among which, the water quality discharge standard is formulated by the comprehensive sewage discharge standard; The central monitoring module compares the water quality test data with the water quality standard data to determine whether the corresponding water quality meets the standard, including: Extract the concentration of each water quality detection index in the water quality detection data and mark it as the real-time detection concentration; Compare the real-time detected concentration with the corresponding data in the water quality standard data to determine whether the real-time detected concentration exceeds the standard; if yes, the corresponding water quality detection data is determined to be abnormal; if no, the water quality detection data is determined to be normal; The central monitoring module counts the duration of time when no water quality warning information appears in each catchment area, and marks it as normal duration; when the normal duration exceeds the duration threshold, the comprehensive detection signal is triggered regularly; and Acquiring and analyzing the remote sensing image of the catchment area from a database based on the comprehensive detection signal includes: Analyze the remote sensing image by image inversion technology to identify pollutants therein; Acquire the raw material corresponding to the pollutant in combination with the geographic information, and determine the joint influencing factors based on the raw material; wherein the raw material is an essential element for the generation of the pollutant; The central monitoring module calculates and obtains the outlet assessment coefficient based on the combined influencing factors and water quality detection data, including: The concentration of the joint influencing factors is determined based on the inversion results and is marked as LYN; Obtain the concentration of factors matching the joint influencing factors in each water quality test data, marked as SYN; The outlet evaluation coefficient PPX is calculated by the formula PPX=β×(SYN-LYN); wherein β is a proportional coefficient greater than 0.

2. According to claim 1, a water quality intelligent monitoring and detection system for river and lake outlets is characterized in that: The database includes a GIS digital map exchange database, an enterprise water quality benchmark database, and a water quality discharge standard database; Wherein, the water quality discharge standard is formulated by the comprehensive sewage discharge standard; The GIS digital map mutual access database includes the river and lake outlets to be detected, the pollutant discharge enterprises corresponding to the river and lake outlets to be detected, and the pollutant types corresponding to the pollutant discharge enterprises; The number of the water quality testing stations is the same as the number of the river and lake outlets to be tested, and the water quality testing stations include cameras and water quality testers; The enterprise water quality benchmark database and water quality discharge standard database correspond to the pollutant-discharging enterprises one by one; The central monitoring module compares the outlet assessment coefficient of each river and lake outlet with the outlet assessment threshold; when the outlet assessment coefficient is greater than the outlet assessment threshold, it is determined that the corresponding river and lake outlet is abnormal; and all river and lake outlets associated with the catchment area are evaluated, and abnormal river and lake outlets are located and warned.

3. The intelligent monitoring and detection system for water quality at river and lake outlets according to claim 1 is characterized in that: The central monitoring module communicates and / or is electrically connected to the data acquisition module and the database respectively; and the data acquisition module communicates and / or is electrically connected to the water quality detection station; The water quality testing station is set up at each river and lake outlet; the water quality testing station is used to monitor the drainage status and drainage water quality of each river and lake outlet.

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