Method for detecting overflow and seepage of sewage treatment plant

Abstract

The invention relates to the technical field of sewage detection, in particular to a method for detecting overflow of a sewage treatment plant, which comprises the following steps: collecting a spatial layout map of the treatment plant, arranging topographic and geomorphic data around the treatment plant, determining pollutant types in the treatment plant and marking the pollutant types as characteristic pollutants, and establishing a database according to reaction characteristic data, and according to the spatial layout of the sewage treatment plant and the surrounding topography and landform, the overflow or leakage position and number of the sewage treatment plant are determined and marked in cooperation with the established digital model. According to the method, plants sensitive to specific heavy metal pollutants are screened, a geographic information system, a remote sensing technology and a data analysis method are combined, the position and range where overflow and leakage possibly occur in a sewage treatment plant are evaluated, the sensitive plants are planted in the range, and the sensitive plants are monitored in cooperation with an optical camera and a hyperspectral camera; therefore, monitoring and early warning of the overflow event of the sewage treatment plant can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage detection, and in particular to a method for detecting overflow in a sewage treatment plant. Background Art

[0002] As a key facility for urban water pollution control, the operating status of sewage treatment plants directly affects the health and safety of the water environment. However, due to equipment aging, improper operation, extreme weather or sudden accidents, sewage treatment plants occasionally experience sewage overflow or leakage incidents, causing pollutants such as heavy metals to enter the soil and natural water bodies, causing environmental pollution. Traditional detection methods mainly rely on physical and chemical monitoring equipment, such as soil sampling and testing, water quality monitoring stations, and online monitors. Although these devices can provide accurate monitoring data, they have problems such as high cost, complex maintenance, and limited coverage. In addition, since sewage overflow or leakage incidents are often sudden, unpredictable, and hidden, traditional monitoring methods are difficult to achieve real-time monitoring and early warning, resulting in pollution spread and ecological damage.

[0003] In recent years, with the development of ecology and environmental science, the method of using bioindicators for environmental monitoring has gradually attracted attention. As a kind of bioindicator, sensitive plants can provide an intuitive and economical means for environmental monitoring by absorbing, accumulating or showing sensitivity to specific pollutants. However, there are still some challenges in applying sensitive plants to sewage treatment plant overflow detection, such as plant species screening, layout of monitoring points, data collection and analysis, etc. Therefore, it is of great significance to develop a low-cost, efficient and real-time method for sewage treatment plant overflow detection.

[0004] The present invention aims to provide a method for detecting overflow or leakage of sewage treatment plants using sensitive plants. The method realizes monitoring and early warning of overflow events of sewage treatment plants by screening plants that are sensitive to specific heavy metal pollutants and combining geographic information system (GIS), remote sensing technology and data analysis methods. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a method for detecting overflow in a sewage treatment plant.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A method for detecting overflow in a sewage treatment plant comprises the following steps:

[0007] (1) Collect spatial layout diagrams of the treatment plant, organize topographic data around the treatment plant, identify pollutant types in the treatment plant and mark them as characteristic pollutants, obtain basic data of the sewage treatment plant, and establish a digital model based on the basic data obtained;

[0008] (2) Based on the types of characteristic pollutants marked in the sewage treatment plant, using existing research results, screen plant species that are sensitive to the corresponding pollutants, determine the reaction characteristic data of sensitive plants affected by pollutants, and establish a database based on the reaction characteristic data;

[0009] (3) Based on the spatial layout of the sewage treatment plant and the surrounding topography, assess the sewage overflow area, determine the distribution of sensitive plants, and plant sensitive plants;

[0010] (4) Configure a pollution source identification device, use optical cameras and hyperspectral cameras to regularly collect optical and hyperspectral characteristic information of sensitive plants, analyze it with the database, and use the established digital model to determine the location and quantity of overflow or leakage in the sewage treatment plant and mark it.

[0011] As a further solution of the present invention, the spatial layout diagram of the collection and treatment plant includes key location information closely related to sewage treatment, such as water inlet, treatment unit, water outlet, drainage pipe and pump station.

[0012] As a further solution of the present invention, the digital model is established based on GIS technology, and the spatial layout map of the sewage treatment plant and the surrounding topographic data are digitized to establish a spatial database for subsequent analysis and application.

[0013] As a further solution of the present invention, the types of heavy metal pollutants mainly contained in the sewage treatment plant include lead (Pb), cadmium (Cd), chromium (Cr), mercury (Hg), etc., and they are defined as characteristic pollutants as needed.

[0014] As a further solution of the present invention, the reaction characteristic data of the sensitive plants after being affected by characteristic pollutants include optical characteristics such as lesion distribution and color, as well as hyperspectral characteristic information such as changes in chlorophyll content and water content. A database is established for the sensitive plant reaction characteristic data as basic data for subsequent monitoring and comparison.

[0015] As a further solution of the present invention, the assessment of sewage overflow and leakage area includes overflow point assessment and natural flow direction assessment;

[0016] The overflow point assessment is based on the treatment capacity and design parameters of the sewage treatment plant to assess the location and scale of possible sewage overflow or leakage;

[0017] The natural flow direction assessment is based on topographic information to assess the direction and distance of natural flow after sewage overflow or leakage, and the impact range is drawn using GIS software.

[0018] As a further solution of the present invention, the analysis of the collected sensitive plant information includes optical image analysis and hyperspectral image analysis;

[0019] The optical image analysis is based on an optical camera and uses an optical comparison method to analyze whether sensitive plants have reaction characteristics of corresponding characteristic pollutants;

[0020] The hyperspectral image analysis is based on a hyperspectral camera and uses a spectral matching algorithm to compare the hyperspectral image with the spectral curve in the characteristic data, so as to determine whether its hyperspectral characteristics have changed and whether the change is related to the characteristic pollutants.

[0021] As a further solution of the present invention, plants with characteristic pollutant responses identified by optical images and hyperspectral images are marked with corresponding plant locations in GIS software;

[0022] In GIS software, the location information of sewage overflow in the sewage treatment plant is determined based on the marked plant locations and the topographic features of the location;

[0023] By using the existing surface overflow analysis algorithm, the sewage overflow volume is simply estimated according to the distribution range and characteristics of the sensitive plants with characteristic pollutant reactions.

[0024] As a further solution of the present invention, the device for determining pollution sources includes an acquisition module and a processing module;

[0025] The acquisition module includes a first acquisition module, a second acquisition module and a determination module;

[0026] The first acquisition module is configured to acquire basic data related to the sewage treatment plant;

[0027] The second acquisition module is configured to acquire optical information and spectral information of sensitive plants;

[0028] The determination module is configured to determine the overflow or leakage location and amount of the sewage treatment plant according to the reaction characteristic data of the sensitive plants, and the optical information and spectral information of the sensitive plants.

[0029] As a further solution of the present invention, the processing module includes a processor and a storage;

[0030] The processor is configured to execute a method for determining the location and amount of overflow or leakage in a sewage treatment plant when executing the program instructions;

[0031] The storage is used to store program instructions, and the program instructions are executed by the processor to determine the overflow or leakage location and amount of the sewage treatment plant.

[0032] Compared with the prior art, the advantages and positive effects of the present invention are:

[0033] In the present invention, by collecting basic data of the sewage treatment plant and establishing a digital model, plants that are sensitive to specific heavy metal pollutants are screened, and a database is established based on the screened plants and the reaction characteristics of such plants after contact with the pollutants. Subsequently, the location and range of possible overflow and leakage of the sewage treatment plant are evaluated by combining geographic information systems, remote sensing technology and data analysis methods, and sensitive plants are distributed and planted within the range. The information of sensitive plants is collected and monitored with optical cameras and hyperspectral cameras. The collected information is compared with the reaction characteristic data in the database to determine whether the plants are in contact with pollutants. When pollutant leakage is found, it will be displayed through the digital model and the leakage location will be prompted, thereby realizing real-time monitoring and early warning of overflow events in sewage treatment plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a flow chart of the method of the present invention;

[0035] Figure 2 It is a flow chart of an acquisition module in a device for determining a pollution source in the present invention;

[0036] Figure 3 It is a schematic diagram of the framework of the processing module in the device for determining the pollution source in the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0038] See also Figure 1-Figure 3 The present invention provides a technical solution: a method for detecting overflow in a sewage treatment plant, comprising: a method for detecting overflow in a sewage treatment plant, comprising the following steps:

[0039] (1) Collect spatial layout diagrams of the treatment plant, organize topographic data around the treatment plant, identify pollutant types in the treatment plant and mark them as characteristic pollutants, obtain basic data of the sewage treatment plant, and establish a digital model based on the basic data obtained;

[0040] (2) Based on the types of characteristic pollutants marked in the sewage treatment plant, using existing research results, screen plant species that are sensitive to the corresponding pollutants, determine the reaction characteristic data of sensitive plants affected by pollutants, and establish a database based on the reaction characteristic data;

[0041] (3) Based on the spatial layout of the sewage treatment plant and the surrounding topography, assess the sewage overflow area, determine the distribution of sensitive plants, and plant sensitive plants;

[0042] (4) Configure a pollution source identification device, use optical cameras and hyperspectral cameras to regularly collect optical and hyperspectral characteristic information of sensitive plants, analyze it with the database, and use the established digital model to determine the location and quantity of overflow or leakage in the sewage treatment plant and mark it.

[0043] See also Figure 1 The spatial layout of the collection and treatment plant includes key location information closely related to sewage treatment, such as the water inlet, treatment unit, water outlet, drainage pipes and pumping stations. These locations are used to drive the guided flow of sewage, so the probability of sewage overflow will be greatly increased.

[0044] See also Figure 1 , establish a digital model based on GIS technology, digitize the spatial layout map of the sewage treatment plant and the surrounding terrain and landform data to establish a spatial database for subsequent analysis and application. GIS technology is a technology that integrates hardware, software and data for the collection, storage, analysis, management, display and visualization of geospatial data. It can help users analyze, understand and interpret geographic information, and then support decision-making, planning and management.

[0045] See also Figure 1 The main types of heavy metal pollutants in sewage treatment plants include lead (Pb), cadmium (Cd), chromium (Cr), mercury (Hg), etc., and they are defined as characteristic pollutants as needed. These heavy metals have serious harm to the growth, development and ecological environment of plants. They enter the plant body through soil, water or air pollution, which may cause physiological disorders, tissue damage and even death of plants. Therefore, by observing and collecting plant information, the overflow of these heavy metal pollutants can be effectively monitored.

[0046] See also Figure 1-Figure 3 The reaction characteristic data of sensitive plants after being affected by characteristic pollutants include optical characteristics such as lesion distribution and color, as well as hyperspectral characteristic information such as changes in chlorophyll content and water content. A database is established for the reaction characteristic data of sensitive plants as the basic data for subsequent monitoring and comparison, so that after the reaction characteristic information of the planted sensitive plants is collected, it can be quickly compared with the data in the database to quickly determine whether the sensitive plants are affected by characteristic pollutants.

[0047] When sensitive plants are affected by pollutants, in terms of optical characteristics, depending on the type or concentration of the pollutants, common lesions are: brown or black spots appear on the leaves, which may expand over time, causing the leaves to dry out or fall off; yellowing or scorching of the leaves, which is usually caused by cell damage caused by metal toxicity; at the same time, the color of the plant will also change, such as yellowing of the leaves, spots or streaks on the leaves, purple leaves, withering or scorching of the leaf edges, overall discoloration or fading of the plant, and changes in root or stem color.

[0048] In terms of hyperspectral characteristics, depending on the type or concentration of pollutants, the changes in chlorophyll content are manifested as follows: the chlorophyll content of plants decreases, and the ratio of chlorophyll content AB in plants is affected. The ratio of chlorophyll A will decrease rapidly and begin to be lower than that of chlorophyll B, while the change of chlorophyll B will lag behind that of chlorophyll A; the change in plant water content is manifested as a decrease in water content or a temporary increase in water content. If heavy metals are highly toxic to plants, the water absorption capacity of the roots decreases, and the stomata are closed. This phenomenon is more serious, which may lead to a significant decrease in water content in the plant body, which is usually manifested as wilting of plant leaves, leaf dryness and growth cessation; but in some cases, plants increase the intracellular solute concentration through osmotic regulation mechanisms. Although this may lead to water accumulation, it still cannot avoid overall growth inhibition and decreased water use efficiency. At this time, although the surface of the plant may maintain a high water content, its internal water distribution and utilization efficiency have been seriously affected.

[0049] See also Figure 1 , assess the sewage overflow area including overflow point assessment and natural flow direction assessment;

[0050] Overflow point assessment is based on the treatment capacity and design parameters of the sewage treatment plant to assess the possible location and scale of sewage overflow or leakage;

[0051] The natural flow assessment is based on topographic information to evaluate the direction and distance of natural flow after sewage overflow or leakage, and use GIS software to draw the impact range.

[0052] By using GIS software, it is possible to import sewage pipe network data, terrain data, meteorological data, and integrate historical data to construct a historical hot spot map of overflow or leakage, so that the location and scale of possible sewage overflow or leakage can be evaluated and predicted. GIS software can then be used to draw the location of sewage overflow or leakage and the impact range after the sewage flows out, and corresponding sensitive plants can be planted according to the assessed range area.

[0053] See also Figure 1 ,The analysis of the collected sensitive plant information includes optical image analysis and hyperspectral image analysis;

[0054] Optical image analysis is based on optical cameras and uses optical comparison methods to analyze whether sensitive plants have the response characteristics of corresponding characteristic pollutants;

[0055] Hyperspectral image analysis is based on hyperspectral cameras and uses spectral matching algorithms to compare hyperspectral images with spectral curves in characteristic data to determine whether their hyperspectral characteristics have changed and whether the changes are related to characteristic pollutants.

[0056] See also Figure 1 , identify plants with characteristic pollutant responses through optical and hyperspectral images, and mark the corresponding plant locations in GIS software;

[0057] In GIS software, the location information of sewage overflow in the sewage treatment plant is determined based on the marked plant locations and the topographic features of the location;

[0058] The existing surface overflow analysis algorithm is used to simply estimate the sewage overflow amount based on the distribution range and characteristics of sensitive plants with characteristic pollutant responses.

[0059] See also Figure 2 , determining that the pollution source device includes an acquisition module and a processing module;

[0060] The acquisition module includes a first acquisition module, a second acquisition module and a determination module;

[0061] The first acquisition module is configured to acquire basic data related to the sewage treatment plant;

[0062] The second acquisition module is configured to acquire sensitive plant optical information and spectral information;

[0063] The determination module is configured to determine the overflow or leakage location and amount of the sewage treatment plant based on the response characteristic data of the sensitive plants and the optical information and spectral information of the sensitive plants.

[0064] See also Figure 3 , the processing module includes a processor and a storage;

[0065] The processor is configured to, when running the program instructions, perform a method for determining the location and amount of an overflow or leak at a wastewater treatment plant;

[0066] The memory is used to store program instructions, and the program instructions are executed by the processor to determine the overflow or leakage location and amount of the sewage treatment plant.

[0067] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for detecting overflow in a sewage treatment plant, characterized in that: The following steps are involved: (1) Collect the spatial layout of the treatment plant, organize the topographic data around the treatment plant, determine the types of pollutants in the treatment plant and mark them as characteristic pollutants, obtain the basic data of the sewage treatment plant, and establish a digital model based on the obtained basic data; (2) Based on the types of characteristic pollutants marked in the sewage treatment plant, using existing research results, screen plant species that are sensitive to the corresponding pollutants, determine the reaction characteristic data of sensitive plants affected by pollutants, and establish a database based on the reaction characteristic data; (3) Based on the spatial layout of the sewage treatment plant and the surrounding topography, assess the sewage overflow area, determine the distribution of sensitive plants, and plant sensitive plants; (4) Configure a pollution source identification device, use optical cameras and hyperspectral cameras to regularly collect optical and hyperspectral characteristic information of sensitive plants, analyze it with the database, and use the established digital model to determine the location and quantity of overflow or leakage in the sewage treatment plant and mark it.

2. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The spatial layout diagram of the collection and treatment plant includes key location information closely related to sewage treatment, such as the water inlet, treatment unit, water outlet, drainage pipe and pump station.

3. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The digital model is established based on GIS technology, which digitizes the spatial layout map of the sewage treatment plant and the surrounding terrain and geomorphic data to establish a spatial database for subsequent analysis and application.

4. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The main types of heavy metal pollutants contained in the sewage treatment plant include lead (Pb), cadmium (Cd), chromium (Cr), mercury (Hg), etc., which are defined as characteristic pollutants as needed.

5. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The reaction characteristic data of the sensitive plants after being affected by characteristic pollutants include optical characteristics such as lesion distribution and color, and hyperspectral characteristic information such as changes in chlorophyll content and water content. A database is established for the sensitive plant reaction characteristic data as basic data for subsequent monitoring and comparison.

6. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The assessment of sewage overflow and leakage area includes the assessment of overflow points and the assessment of natural flow direction; The overflow point assessment is based on the treatment capacity and design parameters of the sewage treatment plant to assess the location and scale of possible sewage overflow or leakage; The natural flow direction assessment is based on topographic information to assess the direction and distance of natural flow after sewage overflow or leakage, and the impact range is drawn using GIS software.

7. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The analysis of the collected sensitive plant information includes optical image analysis and hyperspectral image analysis; The optical image analysis is based on an optical camera and uses an optical comparison method to analyze whether sensitive plants have reaction characteristics of corresponding characteristic pollutants; The hyperspectral image analysis is based on a hyperspectral camera and uses a spectral matching algorithm to compare the hyperspectral image with the spectral curve in the characteristic data, so as to determine whether its hyperspectral characteristics have changed and whether the change is related to the characteristic pollutants.

8. A method for detecting overflow in a sewage treatment plant according to claim 7, characterized in that: Plants with characteristic pollutant responses identified through optical and hyperspectral images are marked in GIS software; In GIS software, the location information of sewage overflow in the sewage treatment plant is determined based on the marked plant locations and the topographic features of the location; By using the existing surface overflow analysis algorithm, the sewage overflow volume is simply estimated according to the distribution range and characteristics of the sensitive plants with characteristic pollutant reactions.

9. A method for detecting overflow in a sewage treatment plant according to claim 1, characterized in that: The device for determining pollution sources includes an acquisition module and a processing module; The acquisition module includes a first acquisition module, a second acquisition module and a determination module; The first acquisition module is configured to acquire basic data related to the sewage treatment plant; The second acquisition module is configured to acquire optical information and spectral information of sensitive plants; The determination module is configured to determine the overflow or leakage location and amount of the sewage treatment plant according to the reaction characteristic data of the sensitive plants, and the optical information and spectral information of the sensitive plants.

10. A method for detecting overflow in a sewage treatment plant according to claim 9, characterized in that: The processing module includes a processor and a storage; The processor is configured to execute a method for determining the location and amount of overflow or leakage in a sewage treatment plant when executing the program instructions; The storage is used to store program instructions, and the program instructions are executed by the processor to determine the overflow or leakage location and amount of the sewage treatment plant.

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