A water pollution monitoring and management platform for smart city systems

Abstract

The present invention relates to the technical field of urban water pollution monitoring, and specifically to a water pollution monitoring and management platform for a smart city system. After monitoring and collecting rainfall and water quality data in a target area, the area is divided into a strong correlation area and a weak correlation area according to the degree of influence of rainfall on water quality in historical data. Afterwards, when the water quality in the strong correlation area reaches a strong correlation pollution threshold, a diversion control module is used to close a rainwater collection pipe in a water collection well at the beginning and end of rainfall, open a sewage pipeline valve, and guide a large amount of garbage entrained by rainwater into the sewage pipeline, thereby preventing water containing a large amount of impurities from being directly discharged into a natural water body without treatment, thereby polluting the water quality of urban rivers.

Description

Technical Field

[0001] The present invention relates to the technical field of urban water pollution monitoring, and in particular to a water pollution monitoring and management platform for a smart city system. Background Art

[0002] With the rapid development of urbanization, the urban water environment is facing unprecedented pressure, and water pollution has increasingly become a bottleneck restricting the sustainable development of cities. In the traditional urban sewer network design, rainwater can usually enter the river directly, while sewage needs to be treated in a sewage treatment plant. However, in actual operation, dust, leaves and other debris on the ground after rainfall will flow into the water collection well from the rainwater outlets on both sides of the road with rainwater, and finally collect in the rainwater collection pipe. This situation is not only easy to cause blockage in the rainwater collection pipe, affecting the normal drainage function; at the same time, when these impurities-containing water flows are directly discharged into natural water bodies without treatment, they may also cause secondary pollution to the river water quality and even threaten the safety of groundwater.

[0003] Therefore, there is an urgent need for a water pollution monitoring and management platform for smart city systems to improve the safety of regional rainwater collection and discharge through intelligent regional rectification and diversion control design. Summary of the invention

[0004] The technical problem solved by the present invention is to provide a water pollution monitoring and management platform for a smart city system to solve the technical problem that after rainfall in existing urban streets, dust, leaves and other debris on the ground will flow into the water collection wells from the rainwater outlets on both sides of the road along with the rainwater, and finally gather into the rainwater collection pipes, which can easily cause blockage in the rainwater collection pipes and affect the normal drainage function.

[0005] The basic solution provided by the present invention is: a water pollution monitoring and management platform for a smart city system, which is applied to a smart city system. The smart city system includes a water pipe network subsystem arranged in multiple areas, the water pipe network subsystem includes a rainwater collection pipe and a sewage pipe, the rainwater collection pipe and the sewage pipe are connected to a drainage outlet through a water collection well; valves are respectively arranged on the rainwater collection pipe and the sewage pipe, the water pollution monitoring and management platform includes a server and a monitoring terminal arranged in each area, the server is wirelessly connected to the monitoring terminal; the monitoring terminal is used to collect water quality data, rainfall and weather conditions in the area;

[0006] The server includes an analysis module, a pollution determination module and a diversion control module;

[0007] The analysis module is used to determine the correlation between rainfall and water quality in each area based on the pre-stored historical rainfall and water quality data in the area, and to classify each area as a weakly correlated area or a strongly correlated area based on the correlation corresponding to each area and a preset threshold;

[0008] The pollution judgment module is used to control the diversion equipment in the water collection well through the diversion control module to perform diversion control when the current water quality data in the strongly correlated area reaches the strongly correlated pollution threshold; the diversion control module is used to execute a first control strategy when the weather condition turns to rainfall, and the first control strategy is to open the valve on the sewage pipe and close the valve on the rainwater collection pipe; and to execute a second control strategy when the delay reaches the first time threshold after the execution of the first control strategy, and the second control strategy is to close the sewage pipe valve and open the rainwater collection pipe valve.

[0009] Furthermore, the diversion control module is also used to: when the weather condition turns to the end of rainfall, execute a third control strategy, the third control strategy is to open the sewage pipe valve and close the rainwater collection pipe valve; when the delay reaches a second time threshold after executing the third control strategy, execute a fourth control strategy, the fourth control strategy is to close the sewage pipe valve and open the rainwater collection pipe valve.

[0010] Furthermore, the monitoring terminal includes a weather data collection module and a water quality detection module; the weather data collection module is used to obtain rainfall data and weather conditions from a local meteorological platform; the water quality detection module detects water quality data including turbidity.

[0011] Furthermore, the pre-stored historical rainfall and water quality data include The rainfall amount and multiple water quality data corresponding to each rainfall;

[0012] The analysis module is configured to: determine the maximum turbidity value among the multiple water quality data corresponding to each rainfall as the water quality data corresponding to the rainfall;

[0013] Based on the area The correlation coefficient of the area is calculated by the rainfall amount and the water quality data corresponding to the rainfall , the correlation coefficient As the impact of water quality in the area: The calculation formula is:

[0014]

[0015] In the formula, In the target area The rainfall collected each time, For the region The turbidity in the water quality data corresponding to the rainfall, and are the average rainfall and turbidity values ​​in the area, respectively.

[0016] Furthermore, the analysis module is further configured to:

[0017] The correlation coefficient of the region The absolute value of With threshold Compare and use the comparison results to distinguish the correlation between regional rainfall and water quality data; if , the regional water quality category of the target area is determined as a strongly correlated area; otherwise, the regional water quality category of the preset area is determined as a weakly correlated area.

[0018] Furthermore, the monitoring terminal also includes an image acquisition module, a suspended matter analysis module and an emission safety analysis module;

[0019] The image acquisition module is used to acquire the water surface image in the water collection well;

[0020] The suspended matter analysis module is used to determine the area of ​​suspended matter on the water surface based on the water surface image collected by the image acquisition module, and calculate the suspended matter safety index ; Among them, the area of ​​suspended matter on the water surface is recorded as ; Based on the size of the sewage pipe and rainwater collection pipe, calculate the cross-sectional area of ​​the current connecting pipe and record it as ; Based on the suspended matter area on the water surface of the water receiving well and the cross-sectional area of ​​the currently connected pipe Calculating the Suspended Matter Safety Index :

[0021]

[0022] The emission safety analysis module is used to execute a fifth control strategy through the diversion control module based on the suspended matter safety index determined by the suspended matter analysis module when it rains, wherein the fifth control strategy is:

[0023] When the rainwater collecting pipe and the sewage pipe are connected, the valves are opened simultaneously through the diversion control module to guide the water inlet of the water collection well.

[0024] Further, the image acquisition module includes an image acquisition device and a preprocessing module;

[0025] The image acquisition device is arranged at the top of the water receiving well to acquire the water surface image in the water receiving well; the preprocessing module is used to perform image preprocessing on the acquired water surface image.

[0026] Furthermore, the suspended matter analysis module is used to identify suspended matter in the water surface image through image recognition technology, and then calculate the proportion of the number of pixels in the area where the suspended matter is located in the water surface image, and obtain the surface suspended matter area based on the proportion and the bottom area of ​​the water collection well.

[0027] Furthermore, the server also includes a merchant information collection module;

[0028] The merchant information collection module is used to collect merchant information in weakly related areas;

[0029] The pollution determination module is also used to prompt the relevant department terminal registered with the merchant information of the weakly correlated area of ​​the monitoring or emission reduction measures required for the weakly correlated area when the current water quality data of the weakly correlated area reaches the weakly correlated pollution threshold.

[0030] The principles and advantages of the present invention are as follows: a water pollution monitoring and management platform for a smart city system of the present invention monitors and collects rainfall and water quality data in a target area, divides the area into a strongly correlated area and a weakly correlated area according to the degree of influence of rainfall on water quality in historical data, and then, when the water quality in the strongly correlated area reaches the strongly correlated pollution threshold, the diversion control module closes the rainwater collection pipe in the water collection well at the beginning and end of rainfall, opens the sewage pipeline valve, and guides a large amount of garbage carried by the rainwater into the sewage pipeline, thereby avoiding the water containing a large amount of impurities being directly discharged into the natural water body without treatment, causing pollution to the water quality of urban rivers. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a logic block diagram of an embodiment of a water pollution monitoring and management platform for a smart city system. DETAILED DESCRIPTION

[0032] The following is further described in detail through specific implementation methods:

[0033] The specific implementation process is as follows:

[0034] Example

[0035] The embodiment is basically as shown in the attached Figure 1As shown, a water pollution monitoring and management platform for a smart city system, the smart city system includes a water pipe network subsystem set in multiple areas, the water pipe network subsystem includes a rainwater collection pipe and a sewage pipe, the rainwater collection pipe and the sewage pipe are connected to the drain outlet through a water collection well; valves are respectively set on the rainwater collection pipe and the sewage pipe. After the water pollution monitoring and management platform monitors and collects the rainfall and water quality data of the target area, it divides the area into a strong correlation area and a weak correlation area according to the degree of influence of rainfall on water quality in historical data. After that, when the water quality in the strong correlation area reaches the strong correlation pollution threshold, the diversion control module closes the rainwater collection pipe in the water collection well at the beginning and end of the rainfall, opens the sewage pipe valve, and guides a large amount of garbage carried by the rainwater into the sewage pipe, avoiding the water containing a large amount of impurities from being directly discharged into the natural water body without treatment, causing pollution to the water quality of the urban river.

[0036] Specifically, the water pollution monitoring platform includes a server and a monitoring terminal set in each area, and the server is wirelessly connected to the monitoring terminal. The monitoring terminal includes a weather data collection module and a water quality detection module; the weather data collection module is used to obtain rainfall data and weather conditions in the area from the local meteorological platform; the water quality detection module detects water quality data including turbidity in the target area.

[0037] The server includes an analysis module, a pollution determination module, and a diversion control module. The analysis module is used to determine the correlation between rainfall and water quality in each area based on the pre-stored historical rainfall and water quality data in each area, and to classify each area as a weakly correlated area or a strongly correlated area based on the correlation corresponding to each area and a preset threshold. The pre-stored historical rainfall and water quality data include the area The rainfall amount and multiple water quality data corresponding to each rainfall.

[0038] The analysis module is configured to: determine the maximum turbidity value among the multiple water quality data corresponding to each rainfall as the water quality data corresponding to the rainfall;

[0039] Based on the area The correlation coefficient of the area is calculated by the rainfall amount and the water quality data corresponding to the rainfall , the correlation coefficient As the impact of water quality in the area: The calculation formula is:

[0040]

[0041] In the formula, In the target area The rainfall collected each time (mm), For the region Turbidity (NTU) in water quality data corresponding to the rainfall, and are the average rainfall and turbidity values ​​in the area, respectively.

[0042] The correlation coefficient of the region The absolute value of With threshold Compare and use the comparison results to distinguish the correlation between regional rainfall and water quality data; if , the regional water quality category of the target area is determined as a strongly correlated area; otherwise, the regional water quality category of the preset area is determined as a weakly correlated area.

[0043] In this embodiment, the data collected by the monitoring terminal when there are five rainfalls in the target area are as follows:

[0044] first: , .

[0045] Second time: , .

[0046] Third time: , .

[0047] Fourth time: , .

[0048] Fifth time: , .

[0049] Calculate average rainfall and average water quality index :

[0050]

[0051]

[0052] The correlation coefficient :

[0053]

[0054] In this embodiment , This indicates that there is a weak positive correlation between rainfall in the area and the water quality in the sewer pipes, and it belongs to the weak correlation area.

[0055] The pollution determination module is used to control the diversion equipment in the water receiving well through the diversion control module to perform diversion control when the current water quality data in the strongly correlated area reaches the strongly correlated pollution threshold.

[0056] The diversion control module is used to execute the first control strategy when the weather condition turns to rainfall. The first control strategy is to open the valve on the sewage pipeline and close the valve on the rainwater collection pipe; and the second control strategy is to close the sewage pipeline valve and open the rainwater collection pipe valve when the delay reaches the first time threshold after the execution of the first control strategy. The third control strategy is to open the sewage pipeline valve and close the rainwater collection pipe valve when the weather condition turns to the end of rainfall. The fourth control strategy is to close the sewage pipeline valve and open the rainwater collection pipe valve when the delay reaches the second time threshold after the execution of the third control strategy. The fourth control strategy is to close the sewage pipeline valve and open the rainwater collection pipe valve. The connection of the environmental protection water inlet is dynamically adjusted during rainfall, which reduces the overflow of sewage into the rainwater collection pipe and reduces the risk of pollution of urban rivers. At the same time, it can also prevent suspended matter from entering the rainwater collection pipe when the rainfall stops, further protecting the water environment.

[0057] In addition, the monitoring terminal in this embodiment also includes an image acquisition module, a suspended matter analysis module and an emission safety analysis module.

[0058] The image acquisition module is used to acquire the water surface image in the water collection well. In this embodiment, the image acquisition module adopts a low-cost CMOS image acquisition device based on a single-chip microcomputer, and the image acquisition module is arranged at the top of the water collection well to acquire the water surface image in the water collection well.

[0059] The suspended matter analysis module is used to determine the area of ​​suspended matter on the water surface based on the water surface image collected by the image acquisition module, and calculate the suspended matter safety index . Specifically, the suspended matter analysis module is used to identify suspended matter in the water surface image through machine learning, and then calculate the proportion of the number of pixels in the area where the suspended matter is located in the water surface image, and obtain the area of ​​suspended matter on the water surface based on the proportion and the bottom area of ​​the water collection well. Specifically, after the image acquisition module acquires the water surface image, it preprocesses the acquired image, and then extracts features such as shape, texture, and color from the preprocessed image. In this embodiment, a traditional computer vision algorithm (SIFT) is used for feature extraction. After that, a classifier is trained by learning sample data to classify and identify the extracted features and different types of floating objects on the water surface. After the suspended matter is identified in the image, the number of pixels in the selected area is recorded, which represents the area proportion of the suspended matter in the image. At this time, after calculating the bottom area of ​​the water collection well in combination with the size of the water collection well, the actual area of ​​the suspended matter can be calculated by proportional conversion, that is, the number of pixels of the suspended matter in the image is divided by the total number of pixels of the image to obtain the proportion of the suspended matter in the image; then this proportion is multiplied by the actual area of ​​the bottom of the water well to obtain the actual area of ​​the suspended matter on the water surface. Then, based on the size of the sewage pipe and rainwater collection pipe, the cross-sectional area of ​​the current connecting pipe is calculated and recorded as ; Based on the suspended matter area on the water surface of the water receiving well and the cross-sectional area of ​​the currently connected pipe Calculating the Suspended Matter Safety Index :

[0060]

[0061] when When the suspended solids area on the water surface is smaller than the cross-sectional area of ​​the current connecting pipe, the drainage capacity is sufficient; when When the area of ​​suspended matter on the water surface is greater than or equal to the cross-sectional area of ​​the current connecting pipeline, it means that the drainage capacity is insufficient.

[0062] Therefore, the emission safety analysis module is used to execute the fifth control strategy through the diversion control module based on the suspended matter safety index determined by the suspended matter analysis module when it rains, wherein the fifth control strategy is:

[0063] When the rainwater collection pipe and the sewage pipe are connected, the valves on the rainwater collection pipe and the sewage pipe are opened at the same time through the diversion control module to divert the water inlet of the water collection well. When the drainage capacity of a single pipe connection is insufficient due to the influence of suspended matter, drainage is carried out through the rainwater collection pipe and the sewage pipe at the same time, which has the beneficial effect of allocating the flow and avoiding pipe blockage.

[0064] In addition, the server in this embodiment also includes a merchant information collection module. The merchant information collection module is used to collect merchant information in the weakly correlated area, and the pollution determination module is also used to prompt the relevant department terminal registered with the merchant information in the weakly correlated area of ​​the monitoring or emission reduction measures required in the weakly correlated area when the current water quality data in the weakly correlated area reaches the weakly correlated pollution threshold.

[0065] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A water pollution monitoring and management platform for a smart city system, applied to a smart city system, wherein the smart city system comprises a water pipe network subsystem arranged in multiple areas, wherein the water pipe network subsystem comprises a rainwater collection pipe and a sewage pipe, wherein the rainwater collection pipe and the sewage pipe are connected to a drain outlet through a water collection well; valves are respectively arranged on the rainwater collection pipe and the sewage pipe, wherein: The water pollution monitoring and management platform includes a server and a monitoring terminal set in each area, and the server is wirelessly connected to the monitoring terminal; the monitoring terminal is used to collect water quality data, rainfall and weather conditions in the area; The server includes an analysis module, a pollution determination module and a diversion control module; The analysis module is used to determine the correlation between rainfall and water quality in each area based on the pre-stored historical rainfall and water quality data in the area, and to classify each area as a weakly correlated area or a strongly correlated area based on the correlation corresponding to each area and a preset threshold; The pollution determination module is used to control the diversion device in the water collection well to perform diversion control through the diversion control module when the current water quality data in the strongly correlated area reaches the strongly correlated pollution threshold; the diversion control module is used to execute a first control strategy when the weather condition changes to rainfall, the first control strategy is to open the valve on the sewage pipeline and close the valve on the rainwater collection pipe; and to execute a second control strategy when the delay reaches the first time threshold after the execution of the first control strategy, the second control strategy is to close the sewage pipeline valve and open the rainwater collection pipe valve; The monitoring terminal includes a weather data collection module and a water quality detection module; the weather data collection module is used to obtain rainfall data and weather conditions from the local meteorological platform; the water quality detection module detects water quality data including turbidity; The pre-stored historical rainfall and water quality data, including the area The rainfall amount and multiple water quality data corresponding to each rainfall; The analysis module is configured to: determine the maximum turbidity value among the multiple water quality data corresponding to each rainfall as the water quality data corresponding to the rainfall; Based on the area The correlation coefficient of the area is calculated by the rainfall amount and the water quality data corresponding to the rainfall , the correlation coefficient As the impact of water quality in the area: The calculation formula is: In the formula, In the target area The rainfall collected each time, For the region The turbidity in the water quality data corresponding to the rainfall, and are the average rainfall and turbidity values ​​in the area respectively; The analysis module is further configured to: The correlation coefficient of the region The absolute value of With threshold Compare and use the comparison results to distinguish the correlation between regional rainfall and water quality data; if , the regional water quality category of the target area is determined as a strongly correlated area; otherwise, the regional water quality category of the target area is determined as a weakly correlated area.

2. A water pollution monitoring and management platform for a smart city system according to claim 1, characterized in that: The diversion control module is also used to: when the weather condition changes to the end of rainfall, execute a third control strategy, the third control strategy is to open the sewage pipe valve and close the rainwater collection pipe valve, and execute a fourth control strategy when the delay reaches a second time threshold after executing the third control strategy, the fourth control strategy is to close the sewage pipe valve and open the rainwater collection pipe valve.

3. The water pollution monitoring and management platform for a smart city system according to claim 1 is characterized in that: The monitoring terminal also includes an image acquisition module, a suspended matter analysis module and an emission safety analysis module; The image acquisition module is used to acquire the water surface image in the water collection well; The suspended matter analysis module is used to determine the area of ​​suspended matter on the water surface based on the water surface image collected by the image acquisition module, and calculate the suspended matter safety index ; Among them, the area of ​​suspended matter on the water surface is recorded as ; Based on the size of the sewage pipe and rainwater collection pipe, calculate the cross-sectional area of ​​the current connecting pipe and record it as ; Based on the suspended matter area on the water surface of the water receiving well and the cross-sectional area of ​​the currently connected pipe Calculating the Suspended Matter Safety Index : The emission safety analysis module is used to execute a fifth control strategy through the diversion control module based on the suspended matter safety index determined by the suspended matter analysis module when it rains, wherein the fifth control strategy is: When the rainwater collecting pipe and the sewage pipe are connected, the valves are opened simultaneously through the diversion control module to guide the water inlet of the water collection well.

4. A water pollution monitoring and management platform for a smart city system according to claim 3, characterized in that: The image acquisition module includes an image acquisition device and a preprocessing module; The image acquisition device is arranged at the top of the water receiving well to acquire the water surface image in the water receiving well; the preprocessing module is used to perform image preprocessing on the acquired water surface image.

5. A water pollution monitoring and management platform for a smart city system according to claim 4, characterized in that: The suspended matter analysis module is used to identify suspended matter in the water surface image through image recognition technology, and then calculate the proportion of the number of pixels in the area where the suspended matter is located in the water surface image, and obtain the surface suspended matter area based on the proportion and the bottom area of ​​the water collection well.

6. The water pollution monitoring and management platform for a smart city system according to claim 1, characterized in that: The server also includes a merchant information collection module; The merchant information collection module is used to collect merchant information in weakly related areas; The pollution determination module is also used to prompt the relevant department terminal registered with the merchant information of the weakly correlated area of ​​the monitoring or emission reduction measures required for the weakly correlated area when the current water quality data of the weakly correlated area reaches the weakly correlated pollution threshold.

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