Internet-based pollution source online monitoring system

Abstract

The invention relates to the technical field of internet remote monitoring, in particular to an internet-based pollution source online monitoring system. The sewage quality monitoring module monitors various pollutants in a plurality of units and the concentrations of the various pollutants, and then calculates a plurality of water body health indexes; after traversing and judging that the plurality of water body health indexes comprise water body health indexes lower than a preset water body health index threshold value, turning on the corresponding warning light board; the poisoning tracking module analyzes the concentration variation and displays latitude coordinates of corresponding units after judging that the concentration variation of various pollutants in a plurality of units exceeds a pollutant concentration threshold value; the pollution prediction module is used for a user to set a prediction time window; and reading the stored various pollutants and the concentrations of the various pollutants in the plurality of units of the K + 1 time intervals, then predicting and obtaining the various pollutants and the concentrations of the various pollutants in the plurality of units of the prediction time window based on an ARIMA model, and then displaying the various pollutants and the concentrations of the various pollutants.

Description

Technical Field

[0001] The invention belongs to the technical field of Internet remote monitoring, and in particular relates to an Internet-based pollution source online monitoring system. Background Art

[0002] In the context of increasingly serious environmental pollution, water pollution has become one of the key issues of global concern. Water resources are key elements for maintaining ecological balance and ensuring human survival, while sewage discharge, improper industrial wastewater treatment and other behaviors pose a serious threat to water pollution. Especially with the accelerated urbanization and industrialization, there are many types of water pollution sources and pollution incidents are difficult to track, making it difficult for traditional water quality monitoring methods to cope with the increasingly complex pollution situation. Therefore, there is an urgent need for a system that can achieve real-time monitoring of water quality, trace the source of pollution incidents, and accurately predict future pollution trends. Most of the current water quality monitoring technologies rely on regular manual sampling or automated monitoring of local areas, which makes it difficult to achieve full coverage and all-weather real-time monitoring. Traditional monitoring methods are not only inefficient, but also often difficult to detect and locate pollution sources in a timely manner when facing sudden pollution incidents, resulting in delayed governance and greater ecological and environmental damage. In addition, there are many types of pollutants in water bodies and complex concentration changes. How to effectively identify abnormal changes and predict future pollution trends is also a challenge faced by traditional technologies. The automated and intelligent management of large-scale water quality monitoring and pollution tracking has not yet been widely used, forcing managers to rely on experience for judgment and decision-making, making it difficult to respond scientifically and effectively. Therefore, an Internet-based online monitoring system for pollution sources is proposed. Summary of the invention

[0003] The present invention aims to solve the technical problems of water quality monitoring, pollution source tracing and trend prediction, and provides an Internet-based pollution source online monitoring system.

[0004] The technical solution adopted by the present invention to solve the technical problem is: an Internet-based pollution source online monitoring system, including a sewage quality monitoring module, a poisoning tracking module, and a pollution prediction module.

[0005] The sewage quality monitoring module is set in several units, and is used to monitor various pollutants and the concentration of various pollutants in several units, and then send various pollutants and the concentration of various pollutants in several units to the poisoning tracking module and the pollution prediction module, and then calculate several water health indexes. And it is used to turn on the corresponding warning light after traversing and judging that several water health indexes include a water health index lower than the preset water health index threshold.

[0006] The poisoning tracking module is connected to the sewage quality monitoring module network, and is used to store various pollutants and their concentrations in several units at preset time intervals after receiving them. It is used for users to set common pollutants and pollutant concentration thresholds in water bodies. It is also used to analyze various pollutants and their concentrations to obtain the concentration changes of various pollutants in several units, and then after judging that the concentration changes of various pollutants in several units exceed the pollutant concentration threshold, the latitude coordinates of the corresponding units are displayed.

[0007] The pollution prediction module is connected to the sewage quality monitoring module network, and is used to store various pollutants and concentrations of various pollutants in several units at preset time intervals after receiving them. It is used for users to set the prediction time window. It is also used to read various pollutants and concentrations of various pollutants in several units of K+1 time intervals stored, and then predict various pollutants and concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then display them.

[0008] Furthermore, the sewage quality monitoring module includes a region division unit, a sewage monitoring unit, a warning device, and a first edge computing device.

[0009] The area division unit is connected to the poisoning tracking module network for users to upload key monitoring water area models, which are then divided into several units and then sent to the sewage monitoring unit.

[0010] The sewage monitoring unit is arranged in several units and is connected to the poisoning tracking module, the pollution prediction module, and the area division unit network. After receiving several units, it is used to monitor various pollutants and the concentrations of various pollutants in several units, and then send the various pollutants and the concentrations of various pollutants in several units to the poisoning tracking module and the pollution prediction module, and then calculate several water health indexes according to the concentrations of various pollutants in several units and preset weight coefficients, and then send the several water health indexes to the first edge computing device.

[0011] The first edge computing device is connected to the sewage monitoring unit network, and is used for the manager to store the sewage monitoring unit and the warning device corresponding to the sewage monitoring unit. After receiving a plurality of water health indexes, it is used to traverse and determine whether the plurality of water health indexes include a water health index lower than a preset water health index threshold. And after traversing and determining that the plurality of water health indexes include a water health index lower than a preset water health index threshold, it is used to query the sewage monitoring unit corresponding to the water health index lower than the preset water health index threshold, and then query the corresponding warning device stored based on the corresponding sewage monitoring unit, and then generate a warning signal, and then send the warning signal to the corresponding warning device.

[0012] The warning device is arranged in several units, electrically connected to the warning light board and the first edge computing device, and electrically connected to the sewage monitoring units in the corresponding units, so as to turn on the corresponding warning light board after receiving the early warning signal.

[0013] Furthermore, the area division unit is used for users to upload the three-dimensional DEM model of the key monitored waters, and then the three-dimensional DEM model of the key monitored waters is divided into several units according to the water terrain using the spatial grid division algorithm, and then the several units are sent to the poisoning tracking module.

[0014] Furthermore, the sewage monitoring unit includes a sensor module, an MCU,

[0015] The sensor module is set in several units and connected to the poisoning tracking module, the area division unit, and the pollution prediction module network. It is used to monitor various pollutants and the concentration of various pollutants in several units, and then send the various pollutants and the concentration of various pollutants in several units to the poisoning tracking module, MCU, and pollution prediction module.

[0016] The MCU is electrically connected to the sensor module and the first edge computing device, and is used to calculate a number of water health indexes according to the concentrations of the various pollutants in the several units and the preset weight coefficients corresponding to the various pollutants after receiving the various pollutants and the concentrations of the various pollutants in the several units, and then send the several water health indexes to the first edge computing device.

[0017] Furthermore, the MCU calculates several water health index formulas according to the concentrations of various pollutants in several units and the preset weight coefficients corresponding to various pollutants: Among them, H i is the water health index in the ith unit, C i,j is the concentration of the jth type of pollutant in the ith unit, in mg / L, W j The preset weight coefficient corresponds to the j-th type of pollutant.

[0018] Furthermore, the poison tracking module includes a first database, a second edge computing device, a GPS positioning device, and a monitoring screen.

[0019] The first database is connected to the sensor module network and is used to store various pollutants and concentrations of various pollutants in a plurality of units at preset time intervals after receiving them.

[0020] The second edge computing device is connected to the first database network, and is used for users to set common pollutants in water bodies and pollutant concentration thresholds. It is also used to analyze various pollutants and concentrations of various pollutants in several units of the current preset time interval in the first database, and the pollutants and concentrations of various pollutants in the previous preset time interval in several units of the current preset time interval to obtain the concentration changes of various pollutants in several units, and then determine whether the concentration changes of various pollutants in several units exceed the pollutant concentration threshold. It is also used to send the corresponding units to the GPS positioning device after determining that the concentration changes of various pollutants in several units exceed the set threshold.

[0021] The GPS positioning device is connected to the second edge computing device network and is set in several units. After receiving the corresponding unit, it is used to send the latitude coordinates of the corresponding unit to the monitoring screen.

[0022] The monitoring screen is electrically connected to the GPS positioning device and is used to display the latitude coordinates after receiving the latitude coordinates.

[0023] Further, the second edge computing device analyzes various pollutants and concentrations of various pollutants in several units of the current preset time interval in the first database and pollutants and concentrations of various pollutants in the previous preset time interval based on several units of the current preset time interval to obtain the formula for the concentration change of various pollutants in several units:

[0024] Where, ΔC i,j is the concentration change of the j-th type of pollutant in the ith unit, in mg / L. is the concentration of the jth type of pollutant in the i-th unit of the current preset time interval, in mg / L. It is the concentration of the jth type of pollutant in the previous preset time interval within the i-th unit of the current preset time interval, in mg / L.

[0025] Furthermore, the pollution prediction module includes a prediction module, a second database, and a display module.

[0026] The second database is connected to the sensor module network and is used to store various pollutants and concentrations of various pollutants in a plurality of units at preset time intervals after receiving them.

[0027] The prediction module is connected to the second database network for the user to set the prediction time window. It is also used to read the various pollutants and the concentrations of various pollutants in several units of K+1 time intervals stored in the second database, and then predict the concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then send it to the display module.

[0028] The display module is connected to the prediction module network and is used for displaying the concentrations of various pollutants in a number of units after receiving them.

[0029] Furthermore, the prediction module C i,j (t+Δt)=f(C i,j (t),C i,j (t-1),...,C i,j (tk)),

[0030] Among them C i,j (t+Δt) is the concentration of the jth type of pollutant in the ith unit of the prediction time window, in mg / L, Δt is the prediction time window, in h, t, t-1...tk are K+1 time intervals, in h, C i,j (t), C i,j (t-1)...C i,j (tk) is the concentration of the i-th j-th category stored for K+1 time intervals, in mg / L.

[0031] Furthermore, the display module is connected to the prediction module network, and is used for the user to divide several display areas, and then for the user to bind several display areas to several units. And after receiving the concentrations of various pollutants in several units, it is used to determine the concentration levels of various pollutants in several units according to preset levels, and then display the concentration levels of various pollutants in several units.

[0032] Beneficial effects of the present invention:

[0033] 1. The sewage quality monitoring module can monitor various pollutants and their concentrations in each unit in real time, covering a wide range of pollutant types and improving the comprehensiveness of pollution monitoring. The water health index is calculated based on the pollutant concentration, providing a comprehensive indicator to evaluate the overall water quality and simplifying the interpretation of complex pollution data. When the water health index is lower than the preset threshold, it can automatically trigger the warning light sign to form an intelligent alarm mechanism, effectively improving the response time and helping managers take timely measures to deal with pollution problems.

[0034] 2. The poisoning tracking module can store the pollutant data of each unit at preset time intervals, ensuring a complete record of historical pollution conditions for subsequent analysis and query. It allows users to set concentration thresholds for various pollutants and analyze the changes in pollutant concentrations based on preset thresholds, which improves the flexibility of the system and adapts to different environmental needs and management requirements. When the pollutant concentration exceeds the standard, the latitude coordinates of the corresponding pollution unit can be displayed, providing accurate geographic positioning information, making it easy to quickly find the source of pollution and implement treatment.

[0035] 3. The pollution prediction module predicts pollutant data at K+1 time intervals based on the ARIMA model, providing an effective means of predicting future pollution trends, allowing managers to foresee possible pollution risks in advance and take preventive measures. Users can set the prediction time window to make pollution predictions more in line with actual needs and flexibly respond to different monitoring cycles and water environment changes. By displaying the predicted pollutant concentrations, managers can intuitively observe future pollution trends, thereby better planning and optimizing environmental management measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the system module of the present invention;

[0037] Figure 2 It is a schematic diagram of the sewage monitoring unit of the present invention. DETAILED DESCRIPTION

[0038] The following will clearly and completely describe the concept and technical effects of the present invention in combination with the embodiments, so as to fully understand the purpose, features and effects of the present invention. Figure 1 , Figure 2 .

[0039] An Internet-based online monitoring system for pollution sources, including a sewage quality monitoring module, a poisoning tracking module, and a pollution prediction module.

[0040] The sewage quality monitoring module is set in several units, and is used to monitor various pollutants and the concentration of various pollutants in several units, and then send various pollutants and the concentration of various pollutants in several units to the poisoning tracking module and the pollution prediction module, and then calculate several water health indexes. And it is used to turn on the corresponding warning light after traversing and judging that several water health indexes include a water health index lower than the preset water health index threshold.

[0041] The poisoning tracking module is connected to the sewage quality monitoring module network, and is used to store various pollutants and their concentrations in several units at preset time intervals after receiving them. It is used for users to set common pollutants and pollutant concentration thresholds in water bodies. It is also used to analyze various pollutants and their concentrations to obtain the concentration changes of various pollutants in several units, and then after judging that the concentration changes of various pollutants in several units exceed the pollutant concentration threshold, the latitude coordinates of the corresponding units are displayed.

[0042] The pollution prediction module is connected to the sewage quality monitoring module network, and is used to store various pollutants and concentrations of various pollutants in several units at preset time intervals after receiving them. It is used for users to set the prediction time window. It is also used to read various pollutants and concentrations of various pollutants in several units of K+1 time intervals stored, and then predict various pollutants and concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then display them.

[0043] In this embodiment, real-time monitoring of different pollutants and their concentrations in each water unit is realized, and the changes of pollutants can be captured quickly and accurately. By calculating the water health index, the system automatically identifies whether the water quality is abnormal, ensuring that when the water health index is found to be lower than the preset threshold, the corresponding warning light is triggered in time to carry out effective pollution warning. With efficient data transmission capabilities, the pollutant data of each unit can be quickly sent to the poisoning tracking module, providing basic data support for subsequent pollution tracing and analysis. With long-term pollution data storage and management capabilities, the historical records of the changes in pollutant concentrations in each unit are guaranteed to be preserved, supporting subsequent analysis and pollution tracking. The system can accurately determine which units have exceeded the set value according to the pollutant threshold set by the user, and display the specific abnormal geographical location through the GPS positioning function, realizing the rapid positioning and tracking of poisoning behavior. Automatically analyze the concentration change, and display the abnormal unit location after the concentration change exceeds the threshold, which greatly improves the monitoring and management efficiency of water pollution sources. Through the time window set by the user, the system automatically extracts the concentration changes of pollutants from historical data, and uses the ARIMA model to predict the future concentration of pollutants in each unit, providing accurate pollutant trend analysis. The visualization of future changes in pollutant concentrations is achieved, and the system can provide early warning of possible pollution risks in certain units in the future, helping users take countermeasures in advance. The efficient data linkage between the module and the monitoring module improves the overall system's predictability and decision-making support capabilities for water quality, effectively preventing the occurrence of sudden pollution incidents.

[0044] In this embodiment, the sewage quality monitoring module includes a region division unit, a sewage monitoring unit, a warning device, and a first edge computing device.

[0045] The area division unit is connected to the poisoning tracking module network for users to upload key monitoring water area models, which are then divided into several units and then sent to the sewage monitoring unit.

[0046] The sewage monitoring unit is arranged in several units and is connected to the poisoning tracking module, the pollution prediction module, and the area division unit network. After receiving several units, it is used to monitor various pollutants and the concentrations of various pollutants in several units, and then send the various pollutants and the concentrations of various pollutants in several units to the poisoning tracking module and the pollution prediction module, and then calculate several water health indexes according to the concentrations of various pollutants in several units and preset weight coefficients, and then send the several water health indexes to the first edge computing device.

[0047] The first edge computing device is connected to the sewage monitoring unit network, and is used for the manager to store the sewage monitoring unit and the warning device corresponding to the sewage monitoring unit. After receiving a plurality of water health indexes, it is used to traverse and determine whether the plurality of water health indexes include a water health index lower than a preset water health index threshold. And after traversing and determining that the plurality of water health indexes include a water health index lower than a preset water health index threshold, it is used to query the sewage monitoring unit corresponding to the water health index lower than the preset water health index threshold, and then query the corresponding warning device stored based on the corresponding sewage monitoring unit, and then generate a warning signal, and then send the warning signal to the corresponding warning device.

[0048] The warning device is arranged in several units, electrically connected to the warning light board and the first edge computing device, and electrically connected to the sewage monitoring units in the corresponding units, so as to turn on the corresponding warning light board after receiving the early warning signal.

[0049] In this embodiment, the user-defined model upload of the key monitoring water area is realized, and the water area is automatically divided into multiple monitoring units, so as to finely manage the pollution monitoring area. This ensures that the monitoring coverage matches the actual layout of the water area, and improves the flexibility and adaptability of the system. Through the network connection with the sewage monitoring unit and the poisoning tracking module, the divided area information can be transmitted quickly and accurately, ensuring that the monitoring and tracking module can efficiently and accurately obtain the regional division information, providing basic support for subsequent monitoring and tracking. The regional division unit can monitor the pollutants and their concentrations in each division unit in real time, realizing efficient and accurate pollutant concentration data collection functions. Through the linkage with the poisoning tracking module and the pollution prediction module, various types of pollutant data can be quickly transmitted, providing key data support for subsequent pollution source tracking and prediction. By calculating the water health index and transmitting it to the first edge computing device, the module realizes a comprehensive evaluation of the health status of the water area, which can provide managers with accurate decision-making basis, and further improve the intelligence and automation of water monitoring. The first edge computing device has efficient data storage and processing capabilities, can store the water health index and related data from each sewage monitoring unit, and can traverse and analyze the water health index of multiple units. This function ensures rapid monitoring and judgment of whether the water health index is below the preset threshold, providing a timely and reliable basis for early warning. After the device detects an abnormal water health index, it can quickly associate the specific sewage monitoring unit and query the relevant warning device, thereby generating a warning signal in time to ensure a rapid response to the pollution incident and reduce the risk of pollution spread. After receiving the warning signal sent by the first edge computing device, the warning device can immediately activate the warning light sign in the corresponding unit, providing an intuitive visual warning to alert managers or on-site personnel to possible pollution problems. The direct connection between the warning device and the sewage monitoring unit ensures a rapid response and instant feedback of the warning signal, improves the system's warning processing speed and reliability, and effectively responds to sudden pollution incidents.

[0050] In this embodiment, the area division unit is used for users to upload the three-dimensional DEM model of the key monitored waters, and then the three-dimensional DEM model of the key monitored waters is divided into several units according to the water terrain using the spatial grid division algorithm, and then the several units are sent to the poisoning tracking module.

[0051] In this embodiment, the sewage monitoring unit includes a sensor module, an MCU,

[0052] The sensor module is set in several units and connected to the poisoning tracking module, the area division unit, and the pollution prediction module network. It is used to monitor various pollutants and the concentration of various pollutants in several units, and then send the various pollutants and the concentration of various pollutants in several units to the poisoning tracking module, MCU, and pollution prediction module.

[0053] The MCU is electrically connected to the sensor module and the first edge computing device, and is used to calculate a number of water health indexes according to the concentrations of the various pollutants in the several units and the preset weight coefficients corresponding to the various pollutants after receiving the various pollutants and the concentrations of the various pollutants in the several units, and then send the several water health indexes to the first edge computing device. The various pollutants include but are not limited to heavy metals, cyanide, fluoride, acid, and inorganic salts.

[0054] In this embodiment, the MCU calculates several water health indexes according to the concentrations of various pollutants in several units and the preset weight coefficients corresponding to various pollutants. The formula is: Among them, H i is the water health index in the ith unit, C i,j is the concentration of the jth type of pollutant in the ith unit, in mg / L, W j is the preset weight coefficient corresponding to the j-th type of pollutant. m is the type of pollutant.

[0055] For example, m is 3, i is 1, the concentration of Class 1 pollutants in the first unit is 5 mg / L, the concentration of Class 2 pollutants in the first unit is 8 mg / L, the concentration of Class 1 pollutants in the first unit is 10 mg / L, the corresponding preset weight coefficient for Class 1 pollutants is 0.4, the corresponding preset weight coefficient for Class 2 pollutants is 0.3, the corresponding preset weight coefficient for Class 3 pollutants is 0.3, and the water health index in the first unit is 7.4.

[0056] In this embodiment, the poison tracking module includes a first database, a second edge computing device, a GPS positioning device, and a monitoring screen.

[0057] The first database is connected to the sensor module network and is used to store various pollutants and concentrations of various pollutants in a plurality of units at preset time intervals after receiving them.

[0058] The second edge computing device is connected to the first database network, and is used for users to set common pollutants in water bodies and pollutant concentration thresholds. It is also used to analyze various pollutants and concentrations of various pollutants in several units of the current preset time interval in the first database, and the pollutants and concentrations of various pollutants in the previous preset time interval in several units of the current preset time interval to obtain the concentration changes of various pollutants in several units, and then determine whether the concentration changes of various pollutants in several units exceed the pollutant concentration threshold. It is also used to send the corresponding units to the GPS positioning device after determining that the concentration changes of various pollutants in several units exceed the set threshold.

[0059] The GPS positioning device is connected to the second edge computing device network and is set in several units. After receiving the corresponding unit, it is used to send the latitude coordinates of the corresponding unit to the monitoring screen.

[0060] The monitoring screen is electrically connected to the GPS positioning device and is used to display the latitude coordinates after receiving the latitude coordinates.

[0061] In this embodiment, the first database is connected to the sensor module network, and can receive and store various types of pollutants and their concentration data in each unit in real time, and these data are stored at preset time intervals to ensure the timeliness and integrity of the data. The second edge computing device allows users to set common pollutants and their concentration thresholds in water bodies, which provides users with flexible configuration options and can adjust monitoring standards according to actual conditions. The second edge computing device can analyze the data in the first database, calculate the concentration change of pollutants in each unit, and compare it with the threshold set by the user. Once it is found that the concentration change exceeds the threshold, the early warning mechanism is triggered, and the corresponding unit information is sent to the GPS positioning device. After receiving the early warning information, the GPS positioning device can quickly determine and send the latitude coordinates of the corresponding unit to the monitoring screen. The monitoring screen displays these coordinates in real time, so that the user can intuitively see the specific location of the abnormal pollutant concentration. By comprehensively using technical means such as database storage, edge computing, GPS positioning, and monitoring screen display, this technical embodiment can achieve real-time monitoring and rapid response to the concentration of water pollutants, effectively improving monitoring efficiency and accuracy. Since specific units with abnormal pollutant concentrations can be accurately located, this technical embodiment also supports the tracking and investigation of potential poisoning incidents, providing strong technical support for environmental protection and water quality safety.

[0062] In this embodiment, the second edge computing device analyzes various pollutants and concentrations of various pollutants in several units of the current preset time interval in the first database and the pollutants and concentrations of various pollutants in the previous preset time interval based on the current preset time interval. The formula for obtaining the concentration change of various pollutants in several units is:

[0063]

[0064] Where, ΔC i,j is the concentration change of the j-th type of pollutant in the ith unit, in mg / L. is the concentration of the jth type of pollutant in the i-th unit of the current preset time interval, in mg / L. It is the concentration of the jth type of pollutant in the previous preset time interval within the i-th unit of the current preset time interval, in mg / L.

[0065] For example, the concentration of the first type of pollutant in the first unit of the current preset time interval is 5 mg / L, and the concentration of the first type of pollutant in the previous preset time interval in the first unit of the current preset time interval is 0.1 mg / L.

[0066] In this embodiment, the pollution prediction module includes a prediction module, a second database, and a display module. The concentration change of the first type of pollutants in the first unit is 4.9 mg / L.

[0067] The second database is connected to the sensor module network and is used to store various pollutants and concentrations of various pollutants in a plurality of units at preset time intervals after receiving them.

[0068] The prediction module is connected to the second database network for the user to set the prediction time window. It is also used to read the various pollutants and the concentrations of various pollutants in several units of K+1 time intervals stored in the second database, and then predict the concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then send it to the display module.

[0069] The display module is connected to the prediction module network and is used for displaying the concentrations of various pollutants in a number of units after receiving them.

[0070] In this embodiment, the second database is connected to the sensor module network, and can receive various pollutants and their concentration data from multiple monitoring units in real time, and store them at preset time intervals. This ensures the continuity and integrity of the data and provides a reliable basis for subsequent prediction and analysis. The prediction module allows users to set the prediction time window, which means that users can choose to predict the concentration of pollutants in a certain time period in the future according to actual needs. This flexibility makes the prediction results closer to the actual application scenario and improves the practical value of the prediction. The prediction module uses the ARIMA model to conduct an in-depth analysis of the historical pollutant concentration data stored in the second database, and predicts the pollutant concentration in the future time window based on these data. The ARIMA model has high accuracy in time series prediction, so it can provide users with reliable prediction results. The display module is connected to the prediction module network, and can receive the prediction results sent by the prediction module in real time and display them in an intuitive way. This enables users to clearly see the pollutant concentration of each monitoring unit in the future time period, so as to make more informed decisions. Through the pollution prediction module, users can understand the pollutant concentration in the future time period in advance, so as to take corresponding measures to prevent and control environmental pollution in a targeted manner. This greatly improves the efficiency of environmental monitoring and reduces the risk of environmental pollution. The prediction results can provide a scientific basis for environmental protection departments, enterprises, scientific research institutions, etc., helping them to formulate more reasonable environmental protection policies and measures and promote sustainable development.

[0071] In this embodiment, the prediction module C i,j (t+Δt)=f(C i,j (t),C i,j (t-1),...,C i,j (tk)),

[0072] Among them C i,j (t+Δt) is the concentration of the jth type of pollutant in the ith unit of the prediction time window, in mg / L, Δt is the prediction time window, in h, t, t-1...tk are K+1 time intervals, in h, C i,j (t), C i,j (t-1)...C i,j (tk) is the concentration of the jth class in the i-th time interval stored in K+1 time intervals, in mg / L. f() is the ARIMA model, and the concentration of the jth class of pollutants in the i-th unit of the prediction time window is obtained through the autoregressive part, moving average part, and difference part of the ARIMA model.

[0073] For example, K = 4, C 1,1 (t) is 5 mg / L, C 1,1(t-1) is 4.85 mg / L, C 1,1 (t-2) is 4.75 mg / L, C 1,1 (t-3) is 4.65 mg / L, C 1,1 (t-4) is 4.55 mg / L, and the prediction time window is 1. After the autoregressive part, moving average part, and difference part of the ARIMA model, the concentration of the first type of pollutant in the first unit of the prediction time window is predicted to be 4.9 kw / h.

[0074] In this embodiment, the display module is connected to the prediction module network, and is used for the user to divide several display areas, and then for the user to bind several display areas to several units. And after receiving the concentrations of various pollutants in several units, it is used to determine the concentration levels of various pollutants in several units according to preset levels, and then display the concentration levels of various pollutants in several units.

[0075] The above embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative work shall all fall within the scope of protection of the present invention.

Claims

1. An Internet-based pollution source online monitoring system, characterized by: Including sewage quality monitoring module, poisoning tracking module, pollution prediction module, The sewage quality monitoring module is arranged in a plurality of units, and is used to monitor various pollutants and concentrations of various pollutants in the plurality of units, and then send various pollutants and concentrations of various pollutants in the plurality of units to the poisoning tracking module and the pollution prediction module, and then calculate a plurality of water health indexes; and is used to turn on the corresponding warning light after traversing and judging that a plurality of water health indexes include a water health index lower than a preset water health index threshold; The poisoning tracking module is connected to the sewage quality monitoring module through a network, and is used to store various pollutants and their concentrations in a plurality of units at preset time intervals after receiving them; to allow users to set common pollutants in water bodies and pollutant concentration thresholds; and to analyze various pollutants and their concentrations to obtain concentration changes of various pollutants in a plurality of units, and then, after determining that the concentration changes of various pollutants in a plurality of units exceed the pollutant concentration threshold, display the latitude coordinates of the corresponding units; The pollution prediction module is connected to the sewage quality monitoring module network, and is used to store various pollutants and concentrations of various pollutants in several units at preset time intervals after receiving them; to allow users to set prediction time windows; and to read various pollutants and concentrations of various pollutants in several units of K+1 stored time intervals, and then predict various pollutants and concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then display them.

2. The Internet-based pollution source online monitoring system according to claim 1 is characterized in that: The sewage quality monitoring module includes a region division unit, a sewage monitoring unit, a warning device, and a first edge computing device. The area division unit is connected to the poisoning tracking module network, and is used for users to upload a key monitoring water area model, and then divide it into a number of units, and then send the units to the sewage monitoring unit; The sewage monitoring unit is arranged in a plurality of units, and is connected to the poisoning tracking module, the pollution prediction module, and the area division unit network, and is used to monitor various pollutants and concentrations of various pollutants in the plurality of units after receiving the plurality of units, and then send the various pollutants and concentrations of various pollutants in the plurality of units to the poisoning tracking module and the pollution prediction module, and then calculate a plurality of water health indexes according to the concentrations of various pollutants in the plurality of units and preset weight coefficients, and then send the plurality of water health indexes to the first edge computing device; The first edge computing device is connected to the sewage monitoring unit network and is used for the manager to store the sewage monitoring unit and the warning device corresponding to the sewage monitoring unit; After receiving a plurality of water health indexes, it is used to traverse and determine whether the plurality of water health indexes include a water health index that is lower than a preset water health index threshold; and after traversing and determining that the plurality of water health indexes include a water health index that is lower than a preset water health index threshold, it is used to query the sewage monitoring unit corresponding to the water health index that is lower than the preset water health index threshold, and then query the corresponding stored warning device based on the corresponding sewage monitoring unit, and then generate a warning signal, and then send the warning signal to the corresponding warning device; The warning device is arranged in several units, electrically connected to the warning light board and the first edge computing device, and respectively electrically connected to the sewage monitoring unit in the corresponding unit, and is used to turn on the corresponding warning light board after receiving the early warning signal.

3. The Internet-based pollution source online monitoring system according to claim 2 is characterized in that: The area division unit is used for users to upload the three-dimensional DEM model of the key monitored water area, and then use the spatial grid division algorithm to divide the three-dimensional DEM model of the key monitored water area into several units according to the water area terrain, and then send the several units to the poisoning tracking module.

4. The Internet-based pollution source online monitoring system according to claim 2 is characterized in that: The sewage monitoring unit includes a sensor module and an MCU. The sensor module is arranged in several units, and is connected to the poisoning tracking module, the area division unit, and the pollution prediction module network, and is used to monitor various pollutants and concentrations of various pollutants in several units, and then send various pollutants and concentrations of various pollutants in several units to the poisoning tracking module, the MCU, and the pollution prediction module; The MCU is electrically connected to the sensor module and the first edge computing device, and is used to calculate a number of water health indexes according to the concentrations of the various pollutants in the several units and the preset weight coefficients corresponding to the various pollutants after receiving the various pollutants and the concentrations of the various pollutants in the several units, and then send the several water health indexes to the first edge computing device.

5. The Internet-based pollution source online monitoring system according to claim 3 is characterized by: The MCU calculates several water health indexes according to the concentrations of various pollutants in several units and the preset weight coefficients corresponding to various pollutants: Among them, H i is the water health index in the ith unit, C i,j is the concentration of the jth type of pollutant in the ith unit, in mg / L, W j The preset weight coefficient corresponds to the j-th type of pollutant.

6. The Internet-based pollution source online monitoring system according to claim 4 is characterized in that: The poison tracking module includes a first database, a second edge computing device, a GPS positioning device, and a monitoring screen. The first database is connected to the sensor module network and is used to store various pollutants and concentrations of various pollutants in a plurality of units at preset time intervals after receiving them; The second edge computing device is connected to the first database network, and is used for the user to set common pollutants in the water body and pollutant concentration thresholds; and is used to analyze various pollutants and concentrations of various pollutants in a number of units of the current preset time interval in the first database, and the pollutants and concentrations of various pollutants in a previous preset time interval in a number of units of the current preset time interval to obtain the concentration changes of various pollutants in a number of units, and then determine whether the concentration changes of various pollutants in a number of units exceed the pollutant concentration threshold; and is used to send the corresponding units to the GPS positioning device after determining that the concentration changes of various pollutants in a number of units exceed the set threshold; The GPS positioning device is connected to the second edge computing device network and is arranged in a plurality of units, and is used to send the latitude coordinates of the corresponding unit to the monitoring screen after receiving the corresponding unit; The monitoring screen is electrically connected to the GPS positioning device and is used to display the latitude coordinates after receiving the latitude coordinates.

7. The Internet-based pollution source online monitoring system according to claim 6 is characterized by: The second edge computing device analyzes various pollutants and concentrations of various pollutants in several units of the current preset time interval in the first database and pollutants and concentrations of various pollutants in the previous preset time interval based on several units of the current preset time interval to obtain a formula for the concentration change of various pollutants in several units: Where, ΔC i,j is the concentration change of the j-th type of pollutant in the ith unit, in mg / L. is the concentration of the jth type of pollutant in the i-th unit of the current preset time interval, in mg / L. It is the concentration of the jth type of pollutant in the previous preset time interval within the i-th unit of the current preset time interval, in mg / L.

8. The Internet-based pollution source online monitoring system according to claim 6 is characterized by: The pollution prediction module includes a prediction module, a second database, and a display module. The second database is connected to the sensor module network and is used to store the various pollutants and concentrations of the various pollutants in the plurality of units at preset time intervals after receiving them; The prediction module is connected to the second database network for the user to set the prediction time window; and is used to read various pollutants and concentrations of various pollutants in several units of K+1 time intervals stored in the second database, and then predict the concentrations of various pollutants in several units of the prediction time window based on the ARIMA model, and then send them to the display module; The display module is connected to the prediction module network and is used to display the concentrations of various pollutants in a number of units after receiving them.

9. The Internet-based pollution source online monitoring system according to claim 7 is characterized in that: The prediction module C i,j (t+Δt)=f(C i,j (t),C i,j (t-1),...,C i,j (tk)), Among them C i,j (t+Δt) is the concentration of the jth type of pollutant in the ith unit of the prediction time window, in mg / L, Δt is the prediction time window, in h, t, t-1...tk are K+1 time intervals, in h, C i,j (t), C i,j (t-1)...C i,j (tk) is the concentration of the i-th j-th category stored for K+1 time intervals, in mg / L.

10. The Internet-based pollution source online monitoring system according to claim 8, characterized in that: The display module is connected to the prediction module network, and is used for the user to divide a number of display areas, and then for the user to bind the number of display areas to a number of units; and is used to determine the concentration levels of the various pollutants in the several units according to preset levels after receiving the concentrations of the various pollutants in the several units, and then display the concentration levels of the various pollutants in the several units.

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