Pollutant diffusion tracing method and system for blow-off pipe

Abstract

The invention provides a pollutant diffusion traceability method and system for a blow-off pipe, and relates to the technical field of water environment, and the method comprises the following steps: respectively constructing a blow-off pipe simulation model and a hydrodynamic force-water quality simulation model of a water pollution monitoring area, and obtaining an integrated model; acquiring 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 a preset threshold requirement, constructing a calculation model, and determining a corresponding data mutation probability in combination with the water quality data, the meteorological data, the environmental data and the remote sensing data; when the data mutation probability is smaller than or equal to a probability threshold value, identifying the remote sensing data to obtain a corresponding leakage parameter; according to the invention, the actual condition of a water pollution monitoring area can be reflected more comprehensively, and the comprehensiveness and accuracy of pollutant diffusion traceability are improved.

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] At present, the urban sewage pipe network system has gradually become an important part of urban infrastructure. It is responsible for collecting and transporting urban domestic wastewater and industrial wastewater, becoming an important lifeline to ensure the normal operation of the city, and is also an important link in the process of urban water pollution control. Although the discharge of industrial wastewater has shown a downward trend due to the use of energy-saving and water-saving technologies, it still accounts for a high proportion of the total wastewater. Since industrial wastewater contains some pollutants, it is easy to affect the quality of the sewage pipe. Therefore, when a pollution leak occurs, it cannot be discovered in time and may spread to the environment. Therefore, tracing the source of pollutants, that is, tracking and analyzing the source of pollutants and possible future diffusion paths, is an important prerequisite for environmental protection and pollution control.

[0003] However, the prior art usually judges that a leakage in a sewage pipe occurs when an abnormality occurs 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 source of pollutant diffusion in a sewage pipe that can solve the above-mentioned problems is an issue that technical personnel in this field urgently need to solve. Summary of the invention

[0005] In view of this, the present invention provides a method and system for tracing the spread 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 spread tracing.

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

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

[0008] A sewage pipe simulation model and a hydrodynamic-water quality simulation model are constructed for the water pollution monitoring area respectively, and the sewage pipe simulation model and the hydrodynamic-water quality simulation model are coupled to obtain an integrated model;

[0009] 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;

[0010] When any one or several 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 the water quality data, meteorological data, environmental data and remote sensing data;

[0011] When the data mutation probability is less than or equal to the 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 parameter 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 the verification is terminated if they match.

[0017] Preferably, the specific process of verifying the leakage parameter 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, used 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, used for constructing a calculation model when any one or several items of the water quality data do not meet the preset threshold requirements, and determining the corresponding data mutation probability by combining the water quality data, meteorological data, environmental data and remote sensing data;

[0030] A calculation module, used for identifying the remote sensing data and obtaining 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 leakage parameters.

[0032] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a method and system for tracing the spread of pollutants in a sewage pipe. By constructing a simulation model and combining multiple data sources for analysis, it is possible to more accurately locate the pollution source and pollution path, and improve the accuracy and reliability of tracing the source; when the water quality is abnormal, it is possible to quickly construct a calculation model and calculate the probability of data mutation, so as to quickly identify possible leakage events, and provide 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 situation 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 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 embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

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

[0035] Figure 2 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 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.

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

[0038] A sewage pipe simulation model and a hydrodynamic-water quality simulation model are constructed for the water pollution monitoring area respectively, and the sewage pipe simulation model and the hydrodynamic-water quality simulation model are coupled to obtain an integrated model;

[0039] 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, where the water quality data may include simulated total phosphorus, simulated total ammonia nitrogen, heavy metal indicators, etc., meteorological data may include temperature, precipitation, wind speed, etc., and environmental data may include air temperature and humidity, etc.;

[0040] When any one or several items of 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, amount and path of the leakage.

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

[0043] Verify the leaked parameters.

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

[0045] Applying the leakage parameters to the integrated model for simulation, and determining the corresponding simulated remote sensing data according to 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 pollutant diffusion in a sewage pipe using any one 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 construct a calculation model when any one or several items of 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;

[0060] A calculation module, 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] The verification module is used to verify the leaked parameters.

[0062] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0063] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be 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 will not be limited to the embodiments shown herein, but rather 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: A sewage pipe simulation model and a hydrodynamic-water quality simulation model are constructed for the water pollution monitoring area respectively, and the sewage pipe simulation model and the hydrodynamic-water quality simulation model are coupled to obtain an integrated model; 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; When any one or several 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 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, the remote sensing data is identified to obtain corresponding leakage parameters.

2. A method for tracing the source of pollutant diffusion in a sewage pipe according to claim 1, characterized in that: Also includes: The leakage parameter is verified.

3. The method for tracing the source of pollutant diffusion in a sewage pipe according to claim 2, characterized in that: The specific process of verifying the leakage parameters includes: Applying the leakage parameter to the integrated model for simulation, and determining corresponding simulated remote sensing data according to the simulation result; The simulated remote sensing data is compared with the remote sensing data, and the verification is terminated if they match.

4. A method for tracing the source of pollutant diffusion in a sewage pipe according to claim 3, characterized in that: 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.

5. A method for tracing the source of pollutant diffusion in a sewage pipe according to claim 4, 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.

6. The method for tracing the source of pollutant diffusion 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.

7. A system using the pollutant diffusion tracing method of a sewage pipe according to any one of claims 1 to 6, 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, used 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, used for constructing a calculation model when any one or several items of the water quality data do not meet the preset threshold requirements, and determining the corresponding data mutation probability by combining the water quality data, meteorological data, environmental data and remote sensing data; A calculation module, used for identifying the remote sensing data and obtaining 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 leakage parameters.

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