A method and system for tracing the source of pollutant diffusion in a sewage pipe

Abstract

The present invention provides a method and system for tracing the diffusion of pollutants in a sewage pipe, which relates to the field of water environment technology, wherein the method comprises the following steps: constructing a sewage pipe simulation model and a hydrodynamic-water quality simulation model of a water pollution monitoring area respectively, and obtaining an integrated model; obtaining water quality data, meteorological data, environmental data and remote sensing data of the water pollution monitoring area, and comparing the water quality data with corresponding preset thresholds; when any one or several items of the water quality data do not meet the preset threshold requirements, constructing a calculation model, and determining the corresponding data mutation probability in combination with the water quality data, meteorological data, environmental data and remote sensing data; when the data mutation probability is less than or equal to the probability threshold, identifying the remote sensing data to obtain corresponding leakage parameters; the present invention can more comprehensively reflect the actual conditions of the water pollution monitoring area and improve the comprehensiveness and accuracy of pollutant diffusion tracing.

Description

Technical Field

[0001] The present invention relates to the field of water environment technology, and more particularly to a method and system for tracing the diffusion of pollutants in a sewage pipe. Background Art

[0002] Currently, urban sewage pipe networks have gradually become a vital component of urban infrastructure, shouldering the task of collecting and transporting urban domestic and industrial wastewater. They have become a vital lifeline for ensuring the normal operation of cities and a key link in the control of urban water pollution. While industrial wastewater discharge has shown a downward trend due to the implementation of energy-saving and water-saving technologies, it still accounts for a high proportion of the total wastewater volume. Because industrial wastewater contains some pollutants, it can easily affect the quality of sewage pipes. Therefore, when pollution leaks occur, they cannot be detected in time and may spread into the environment. Therefore, tracing the source of pollutants—that is, tracking and analyzing the source of pollutants and their possible future spread paths—is a key prerequisite for environmental protection and pollution control.

[0003] However, the existing technology usually judges that an abnormality is caused by a leakage in the sewage pipe based on the comparison between water quality data and a preset threshold. This judgment method is not accurate enough, and there is also a problem of low accuracy in the diffusion and positioning of pollutants.

[0004] Therefore, how to provide a method and system for tracing the diffusion of pollutants in sewage pipes that can solve the above problems is an issue that needs to be urgently addressed by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a method and system for tracing the diffusion of pollutants in sewage pipes, which comprehensively applies multiple technical means such as simulation models, data analysis and remote sensing technology, and can more comprehensively reflect the actual conditions of water pollution monitoring areas and improve the comprehensiveness and accuracy of pollutant diffusion tracing.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for tracing the diffusion source of pollutants in a sewage pipe comprises the following steps:

[0008] Separately construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model for the water pollution monitoring area, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model;

[0009] Obtaining water quality data, meteorological data, environmental data, and remote sensing data for the water pollution monitoring area, and comparing the water quality data with corresponding preset thresholds;

[0010] When any one or more of the water quality data do not meet the preset threshold requirements, a calculation model is constructed and the corresponding data mutation probability is determined by combining water quality data, meteorological data, environmental data and remote sensing data;

[0011] When the data mutation probability is less than or equal to a probability threshold, the remote sensing data is identified to obtain corresponding leakage parameters.

[0012] Preferably, it also includes:

[0013] The leakage parameter is verified.

[0014] Preferably, the specific process of verifying the leakage parameters includes:

[0015] Applying the leakage parameter to the integrated model for simulation, and determining corresponding simulated remote sensing data according to the simulation result;

[0016] The simulated remote sensing data is compared with the remote sensing data, and verification ends if they match.

[0017] Preferably, the specific process of verifying the leakage parameters further includes:

[0018] If there is no match, a pollution identification model is constructed, and the water quality data and the remote sensing data that do not meet the preset threshold requirements are input into the pollution identification model for processing to obtain corresponding processing results;

[0019] The processing results, the meteorological data, and the environmental data are applied to the integrated model for simulation, and a final leakage parameter is obtained according to the simulation results.

[0020] Preferably, it also includes:

[0021] The water quality data, meteorological data, environmental data, remote sensing data and the verified leakage parameters are predicted to obtain the pollutant diffusion path.

[0022] Preferably, the specific process of obtaining the data mutation probability includes:

[0023] Extracting features from the remote sensing data, and normalizing the water quality data, the meteorological data, and the environmental data to form water quality data features, meteorological data features, environmental data features, and remote sensing data features;

[0024] splicing and fusing the water quality data features, the meteorological data features, the environmental data features, and the remote sensing data features to obtain comprehensive data features;

[0025] A time series analysis is performed on the comprehensive data features to determine corresponding feature mutation points, and a corresponding data mutation probability is obtained according to the number of the feature mutation points and the total data points included in the comprehensive data features.

[0026] The present invention also provides a pollutant diffusion tracing system for a sewage pipe, comprising:

[0027] A construction module is used to construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model of the water pollution monitoring area respectively, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model;

[0028] an acquisition module, configured to acquire water quality data, meteorological data, environmental data, and remote sensing data of the water pollution monitoring area, and compare the water quality data with corresponding preset thresholds;

[0029] A processing module is used to construct a calculation model when any one or more of the water quality data do not meet the preset threshold requirements, and determine the corresponding data mutation probability by combining water quality data, meteorological data, environmental data and remote sensing data;

[0030] A calculation module, configured to identify the remote sensing data and obtain corresponding leakage parameters when the data mutation probability is less than or equal to a probability threshold;

[0031] A verification module is used to verify the leaked parameters.

[0032] Through the above technical solutions, it can be seen that compared with the existing technology, the present invention discloses a method and system for tracing the spread of pollutants in sewage pipes. By constructing a simulation model and combining multiple data sources for analysis, it is possible to more accurately locate the source of pollution and the pollution path, thereby improving the accuracy and reliability of tracing the source. When water quality is abnormal, a calculation model can be quickly constructed and the probability of data mutation can be calculated, thereby quickly identifying possible leakage events, providing a time advantage for subsequent emergency response and pollution control. The method provided by the present invention comprehensively applies multiple technical means such as simulation models, data analysis and remote sensing technology, which can more comprehensively reflect the actual conditions of the water pollution monitoring area and improve the comprehensiveness and accuracy of tracing the source. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0034] Figure 1This is an overall flow chart of a method for tracing the source of pollutant diffusion in a sewage pipe provided by the present invention;

[0035] Figure 2 This is a structural principle block diagram of a pollutant diffusion tracing system for a sewage pipe provided by the present invention. DETAILED DESCRIPTION

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, an embodiment of the present invention discloses a method for tracing the diffusion source of pollutants in a sewage pipe, comprising the following steps:

[0038] Separately construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model for the water pollution monitoring area, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model;

[0039] Obtain water quality data, meteorological data, environmental data, and remote sensing data from the water pollution monitoring area, and compare the water quality data with the corresponding preset thresholds. Water quality data may include simulated total phosphorus, simulated total ammonia nitrogen, and heavy metal indicators; meteorological data may include temperature, precipitation, wind speed, etc.; environmental data may include air temperature and humidity;

[0040] When any one or more of the water quality data do not meet the preset threshold requirements, a calculation model is constructed and the corresponding data mutation probability is determined by combining water quality data, meteorological data, environmental data and remote sensing data;

[0041] When the data mutation probability is less than or equal to the probability threshold, the remote sensing data is identified to obtain the corresponding leakage parameters, wherein the remote sensing data identification process can be implemented through a neural network model, and the leakage parameters may include the type of leakage, the amount of leakage, and the path.

[0042] In a specific embodiment, it also includes:

[0043] Verify the leaked parameters.

[0044] In a specific embodiment, the specific process of verifying the leaked parameters includes:

[0045] Applying leakage parameters to the integrated model for simulation, and determining corresponding simulated remote sensing data based on the simulation results;

[0046] The simulated remote sensing data is compared with the remote sensing data, and the verification ends if they match.

[0047] In a specific embodiment, the specific process of verifying the leaked parameters further includes:

[0048] If there is no match, a pollution identification model is constructed, and the water quality data and remote sensing data that do not meet the preset threshold requirements are input into the pollution identification model for processing to obtain the corresponding processing results;

[0049] The processing results, meteorological data, and environmental data are applied to the integrated model for simulation, and the final leakage parameters are obtained based on the simulation results.

[0050] In a specific embodiment, it also includes:

[0051] Water quality data, meteorological data, environmental data, remote sensing data and verified leakage parameters are predicted to obtain the pollutant diffusion path.

[0052] In a specific embodiment, the specific process of obtaining the data mutation probability includes:

[0053] Extract features from remote sensing data and normalize water quality data, meteorological data, and environmental data to form water quality data features, meteorological data features, environmental data features, and remote sensing data features;

[0054] The water quality data features, meteorological data features, environmental data features and remote sensing data features are spliced ​​and integrated to obtain comprehensive data features;

[0055] A time series analysis is performed on the comprehensive data features to determine the corresponding feature mutation points, and the corresponding data mutation probability is obtained based on the number of feature mutation points and the total data points included in the comprehensive data features.

[0056] See also Figure 2 As shown, an embodiment of the present invention further provides a system for tracing the source of pollutants in a sewage pipe using any of the above embodiments, including:

[0057] A construction module is used to construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model of the water pollution monitoring area respectively, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model;

[0058] An acquisition module is used to obtain water quality data, meteorological data, environmental data, and remote sensing data in the water pollution monitoring area, and compare the water quality data with the corresponding preset thresholds;

[0059] A processing module is used to build a calculation model when any one or more items of water quality data do not meet the preset threshold requirements, and to determine the corresponding data mutation probability by combining water quality data, meteorological data, environmental data, and remote sensing data;

[0060] A calculation module is used to identify remote sensing data and obtain corresponding leakage parameters when the data mutation probability is less than or equal to the probability threshold;

[0061] Verification module, used to verify the leaked parameters.

[0062] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0063] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for tracing the source of pollutant diffusion in a sewage pipe, characterized in that: The following steps are involved: Separately construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model for the water pollution monitoring area, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model; Obtaining water quality data, meteorological data, environmental data, and remote sensing data for the water pollution monitoring area, and comparing the water quality data with corresponding preset thresholds; When any one or more of the water quality data do not meet the preset threshold requirements, a calculation model is constructed and the corresponding data mutation probability is determined by combining water quality data, meteorological data, environmental data and remote sensing data; When the data mutation probability is less than or equal to a probability threshold, identifying the remote sensing data to obtain corresponding leakage parameters; Verify the leaked parameters, the specific process includes: Applying the leakage parameter to the integrated model for simulation, and determining corresponding simulated remote sensing data according to the simulation result; Comparing the simulated remote sensing data with the remote sensing data, and ending the verification if they match; The specific process of verifying the leaked parameters also includes: If there is no match, a pollution identification model is constructed, and the water quality data and the remote sensing data that do not meet the preset threshold requirements are input into the pollution identification model for processing to obtain corresponding processing results; The processing results, the meteorological data, and the environmental data are applied to the integrated model for simulation, and a final leakage parameter is obtained according to the simulation results.

2. The method for tracing the source of pollutants in a sewage pipe according to claim 1, characterized in that: Also includes: The water quality data, meteorological data, environmental data, remote sensing data and the verified leakage parameters are predicted to obtain the pollutant diffusion path.

3. The method for tracing the source of pollutants in a sewage pipe according to claim 1, characterized in that: The specific process of obtaining the data mutation probability includes: Extracting features from the remote sensing data, and normalizing the water quality data, the meteorological data, and the environmental data to form water quality data features, meteorological data features, environmental data features, and remote sensing data features; splicing and fusing the water quality data features, the meteorological data features, the environmental data features, and the remote sensing data features to obtain comprehensive data features; A time series analysis is performed on the comprehensive data features to determine corresponding feature mutation points, and a corresponding data mutation probability is obtained according to the number of the feature mutation points and the total data points included in the comprehensive data features.

4. A system utilizing the pollutant diffusion tracing method of a sewage pipe according to any one of claims 1 to 3, characterized in that: include: A construction module is used to construct a sewage pipe simulation model and a hydrodynamic-water quality simulation model of the water pollution monitoring area respectively, and couple the sewage pipe simulation model and the hydrodynamic-water quality simulation model to obtain an integrated model; an acquisition module, configured to acquire water quality data, meteorological data, environmental data, and remote sensing data of the water pollution monitoring area, and compare the water quality data with corresponding preset thresholds; A processing module is used to construct a calculation model when any one or more of the water quality data do not meet the preset threshold requirements, and determine the corresponding data mutation probability by combining water quality data, meteorological data, environmental data and remote sensing data; A calculation module, configured to identify the remote sensing data and obtain corresponding leakage parameters when the data mutation probability is less than or equal to a probability threshold; A verification module is used to verify the leaked parameters.

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