Environmental pollution monitoring system based on big data

Abstract

The present invention discloses an environmental pollution monitoring system based on big data, comprising a water quality data acquisition module, a water pollution data analysis module and a real-time operation monitoring module, wherein the water quality data acquisition module is used to acquire water quality information of a water area, the water pollution data analysis module is used to analyze the acquired water quality data information, the real-time operation monitoring module is used to monitor water pollution in a water area in real time, the real-time operation monitoring module and the water pollution data analysis module are both connected to the water quality data acquisition module network, the water quality data acquisition module comprises a storage database module, a water quality sensor acquisition unit, a geographic information display module and a data preprocessing module, the water pollution data analysis module comprises a water quality grade classification module, a pollutant load statistics module and an abnormal data early warning module, and the present invention has the characteristics of automatic data analysis and intelligent monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of water environment pollution analysis, and in particular to an environmental pollution monitoring system based on big data. Background Art

[0002] In recent years, water pollution incidents have occurred frequently in my country, causing serious harm and losses. Most of the existing water quality monitoring platforms only focus on water quality monitoring and data collection, ignore data value discovery, and lack targeted pollution response measures. At the same time, with the continuous development of emerging technologies such as cloud computing, big data, artificial intelligence, and the Internet of Things, intelligent detection of water pollution has become possible. The initial water quality monitoring process is long and requires on-site operation. In addition, the water quality monitoring is not real-time, and the water quality data cannot be intelligently classified and judged.

[0003] Water quality is closely related to the water safety of our country's residents, enterprises, and society. The parameters that have a greater impact on water quality include pH value, water turbidity, and the presence of polluted garbage. Traditional water quality monitoring can only analyze and adjust these parameters based on experience. It is often due to the lack of experience of farmers or the failure to adjust the water quality in time without supervision, resulting in poor water quality and economic losses. Therefore, it is necessary to design an environmental pollution monitoring system based on big data with automatic data analysis and intelligent monitoring. Summary of the invention

[0004] The purpose of the present invention is to provide an environmental pollution monitoring system based on big data to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an environmental pollution monitoring system based on big data, comprising a water quality data acquisition module, a water pollution data analysis module and a real-time operation monitoring module, wherein the water quality data acquisition module is used to acquire water quality information of a water area, the water pollution data analysis module is used to analyze the acquired water quality data information, and the real-time operation monitoring module is used to monitor water pollution in a water area in real time, and the real-time operation monitoring module and the water pollution data analysis module are both connected to the water quality data acquisition module network.

[0006] According to the above technical solution, the water quality data acquisition module includes a storage database module, a water quality sensor acquisition unit, a geographic information display module and a data preprocessing module. The storage database module is used to store the water quality data information and water area information collected from the water area. The water quality sensor acquisition unit is used to collect water quality information of the water area. The geographic information display module is used to display the location of the water area for water quality monitoring. The data preprocessing module is used to preprocess the collected data information. The water quality sensor acquisition unit, the geographic information display module and the data preprocessing module are all network-linked to the storage database module.

[0007] According to the above technical solution, the water pollution data analysis module includes a water quality grade classification module, a pollutant load statistics module and an abnormal data early warning module. The water quality grade classification module is used to classify the water pollution in the water area according to the water quality information, the pollutant load statistics module is used to count the pollutant load in the water area, and the abnormal data early warning module is used to issue an early warning when the water quality data is abnormal; the abnormal data early warning module is network-connected to the water quality grade classification module and the pollutant load statistics module; the abnormal data early warning module includes an early warning standard setting submodule, and the early warning standard setting submodule is used to set an early warning according to different standards.

[0008] According to the above technical solution, the real-time operation monitoring module includes a monitoring water area management module, a comprehensive display module and a dynamic monitoring module. The monitoring water area management module is used to manage the monitored water area, the comprehensive display module is used to comprehensively display the water quality information of each water area, and the dynamic monitoring module is used to dynamically monitor the water area with water pollution. The comprehensive display module is connected to the monitoring water area management module through a network, and the dynamic detection module is connected to the comprehensive display module through a network.

[0009] According to the above technical solution, the main operation method of the water quality data acquisition module includes the following steps:

[0010] Step S1: Establish a storage database, and store the water quality information detected by the sensor and the water area information within the monitoring range in the database;

[0011] Step S2: placing multiple water quality sensors in the form of robotic fish in each monitored water area to perform data sampling;

[0012] Step S3: After acquiring the data, the current signal collected by the sensor is converted into a corresponding voltage signal through the acquisition card, and then the converted voltage signal is transmitted to the main control chip with an AD sampling port, and the analog signal in the chip is converted into a corresponding digital signal;

[0013] Step S4: A PC is placed at each collection point, the PC acquires water quality data on the collection card, and the wireless network sends the data to the monitoring system and saves it in the database;

[0014] Step S5: The geographic information display module asynchronously obtains response data according to the user's click and displays the geographic location information of the monitored water area required by the user to the user;

[0015] Step S6: After acquiring the data collected by the sensor, the data preprocessing module cleans up the collected water quality index data, removes illegal data, cleans invalid data with missing values ​​and duplicate values, and stores valid data in the database.

[0016] According to the above technical solution, the operation method of the water pollution data analysis module mainly includes the following steps:

[0017] Step A1: Obtain the specific water quality information values ​​collected, and classify the water pollution level of the monitored water area according to the calculation;

[0018] Step A2: The pollutant load statistics module counts the discharge of different chemical substances in the water quality within a specific time period queried by the user;

[0019] Step A3: Based on the water pollution level of each area calculated by the water quality classification module, an early warning notification is issued to the client according to the different levels.

[0020] According to the above technical solution, step A1 further includes the following steps:

[0021] Step A11: The system obtains the n pH values ​​[W1, W2…W] detected by the sensor in real time in a certain water area within a time period T. n ], ammonia nitrogen index [X1, X2…X n ], permanganate index [Y1, Y2…Y n ], and dissolved oxygen index [Z1, Z2…Z n ], analyze the overall water pollution index within the time period, calculate the overall water pollution index within the water period T and classify the water pollution level;

[0022] Step A12: The specific overall water pollution index P is calculated as follows:

[0023]

[0024] In the formula, k1, k2, k3 and k4 are the proportions of pH value, ammonia nitrogen, permanganate index and dissolved oxygen index in the overall water pollution index, which vary with the severity of pollution corresponding to each index;

[0025] Step A13: Define the critical value of water pollution level as P a and P z , when P <P a When P a ≤P≤P z When P>P z When the water pollution level is determined to be level three;

[0026] Step A14: After the classification is completed, different levels of water bodies are marked with different colors on the map according to the different classification levels.

[0027] According to the above technical solution, step A2 is specifically as follows: after the sensor detects the pollutants, it searches the monitored water area to obtain the pollutant emissions in the monitored water area within one day, and displays the daily statistical emission data on the map after processing. The client can view the changes in pollutant emissions in each water area in real time and compare them with the prescribed standard emissions. For water areas where emissions exceed the prescribed standard, an early warning notification is directly issued to the client.

[0028] According to the above technical solution, step A3 further includes the following steps:

[0029] Step A31: Set the standard pH range to [W a , W b ], the standard ammonia nitrogen, permanganate index and dissolved oxygen index are X, Y, and Z respectively, and the threshold of each parameter is K;

[0030] Step A32: When each index is within the threshold range of the standard value, an early warning is processed according to the classification level of the pollution index. When the pollution level is level 1, no early warning notification is required; when the pollution level is level 2, an early warning reminder is issued to users near the water area to perform appropriate water cleaning operations; when the pollution level is level 3, an early warning notification must be immediately issued to the client, and the environmental protection department must be notified for further processing;

[0031] Step A33: When one of the four indexes exceeds the threshold range of the standard value, an early warning that a specific index is seriously exceeded can be directly issued to the client without going through the level classification.

[0032] According to the above technical solution, the main operation method of the real-time operation monitoring module includes the following steps:

[0033] Step B1: During the monitoring process, the monitoring water area management module adds, deletes and modifies the monitoring water area, monitoring point names and geographic coordinate information in real time, and locates each monitoring point on a map;

[0034] Step B2: After obtaining the analyzed and processed water area information and water quality data information in the database, the data is processed, a system map is made based on the scope of each monitoring area, and each monitoring point and monitoring content data is placed in the map;

[0035] Step B3: By clicking on the map, the locations of all water quality grade surfaces on the map are displayed in the form of water area coverage, the water quality status of the monitoring point is indicated by an icon, and the pollution level of the water quality is indicated by color;

[0036] Step B4: Through the visualization of the water environment, real-time water quality dynamic information is displayed, and the water pollution level of different water areas is monitored in real time.

[0037] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention collects and stores water area information data and water quality data corresponding to each water area by providing a water quality data acquisition module, a water pollution data analysis module and a real-time operation monitoring module, calculates and manages the water pollution degree of the water area according to the collected four pollution indicators of pH value, ammonia nitrogen, permanganate index and dissolved oxygen, and sets a proportion of the overall pollution index for each indicator to avoid excessive errors in each indicator. At the same time, according to the different water quality requirements of each water area, the standard threshold range of each indicator can be set independently, and an early warning notification is issued if the value of one indicator exceeds the standard, thereby realizing intelligent early warning management of the water area and ensuring the real-time and intelligent judgment of water quality monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0039] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1The present invention provides a technical solution: an environmental pollution monitoring system based on big data, including a water quality data acquisition module, a water pollution data analysis module and a real-time operation monitoring module. The water quality data acquisition module is used to acquire water quality information of a water area. The water pollution data analysis module is used to analyze the acquired water quality data information. The real-time operation monitoring module is used to monitor water pollution in a water area in real time. The real-time operation monitoring module and the water pollution data analysis module are both connected to the water quality data acquisition module network. By setting the water quality data acquisition module, the water pollution data analysis module and the real-time operation monitoring module, the water area information data and the water quality data corresponding to each water area are collected and stored. According to the collected pH value, ammonia nitrogen, permanganate index and dissolved oxygen four pollution indicators, the water pollution degree of the water area is calculated and graded. In order to avoid excessive errors in various indicators, a proportion of the overall pollution index is set for each indicator. At the same time, according to the different water quality requirements of each water area, the standard threshold range of each indicator can be set independently. If there is an indicator value exceeding the standard, an early warning notification is issued to realize intelligent early warning management of the water area and ensure the real-time and intelligent judgment of water quality monitoring.

[0042] The water quality data acquisition module includes a storage database module, a water quality sensor acquisition unit, a geographic information display module and a data preprocessing module. The storage database module is used to store the water quality data information and water area information collected from the water area. The water quality sensor acquisition unit is used to collect water quality information of the water area. The geographic information display module is used to display the location of the water area for water quality monitoring. The data preprocessing module is used to preprocess the collected data information. The water quality sensor acquisition unit, the geographic information display module and the data preprocessing module are all network-linked to the storage database module.

[0043] The water pollution data analysis module includes a water quality grade classification module, a pollutant load statistics module and an abnormal data early warning module. The water quality grade classification module is used to classify the water pollution of the water area according to the water quality information, the pollutant load statistics module is used to count the pollutant load of the water area, and the abnormal data early warning module is used to issue an early warning when the water quality data is abnormal; the abnormal data early warning module is connected to the water quality grade classification module and the pollutant load statistics module through a network; the abnormal data early warning module includes an early warning standard setting submodule, and the early warning standard setting submodule is used to set an early warning according to different standards.

[0044] The real-time operation monitoring module includes a monitoring water area management module, a comprehensive display module and a dynamic monitoring module. The monitoring water area management module is used to manage the monitored water area, the comprehensive display module is used to comprehensively display the water quality information of each water area, and the dynamic monitoring module is used to dynamically monitor the water area with water pollution. The comprehensive display module is connected to the monitoring water area management module through a network, and the dynamic detection module is connected to the comprehensive display module through a network.

[0045] The main operation method of the water quality data acquisition module includes the following steps:

[0046] Step S1: Establish a storage database, and store the water quality information detected by the sensor and the water area information within the monitoring range in the database, the water quality information includes pH value, ammonia nitrogen, permanganate index and dissolved oxygen;

[0047] Step S2: placing multiple water quality sensors in the form of robotic fish in each monitored water area to perform data sampling;

[0048] Step S3: After acquiring the data, the current signal collected by the sensor is converted into a corresponding voltage signal through the acquisition card, and then the converted voltage signal is transmitted to the main control chip with an AD sampling port, and the analog signal in the chip is converted into a corresponding digital signal;

[0049] Step S4: A PC is placed at each collection point, the PC acquires water quality data on the collection card, and the wireless network sends the data to the monitoring system and saves it in the database;

[0050] Step S5: The geographic information display module asynchronously obtains response data according to the user's click and displays the geographic location information of the monitored water area required by the user to the user;

[0051] Step S6: After acquiring the data collected by the sensor, the data preprocessing module cleans up the collected water quality index data, removes illegal data, cleans invalid data with missing values ​​and duplicate values, and stores valid data in the database.

[0052] The operation method of the water pollution data analysis module mainly includes the following steps:

[0053] Step A1: Obtain the specific water quality information values ​​collected, and classify the water pollution level of the monitored water area according to the calculation;

[0054] Step A2: The pollutant load statistics module counts the discharge of different chemical substances in the water quality within a specific time period queried by the user;

[0055] Step A3: Based on the water pollution level of each area calculated by the water quality classification module, an early warning notification is issued to the client according to the different levels.

[0056] Step A1 further comprises the following steps:

[0057] Step A11: The system obtains the n pH values ​​[W1, W2…W] detected by the sensor in real time in a certain water area within a time period T. n ], ammonia nitrogen index [X1, X2…X n ], permanganate index [Y1, Y2…Y n], the permanganate index can be used to reflect the degree of pollution of water bodies by inorganic oxidizable substances and organic oxidizable substances, and is similar to the dissolved oxygen index [Z1, Z2…Z n ], dissolved oxygen usually refers to the concentration of oxygen in the water body, which is an indicator for evaluating the self-purification ability of the water body. The greater the oxygen content of the water body, the faster the various pollutants in the water are oxidized. Therefore, the higher the purification ability of the water body itself; on the contrary, if the oxygen content of the water body is lower, the purification ability of the water body itself is lower, and the degree of water pollution will be more serious. The overall water pollution index within the time period is analyzed, and the overall water pollution index within the water period T is calculated and the water pollution level is divided;

[0058] Step A12: The specific overall water pollution index P is calculated as follows:

[0059]

[0060] In the formula, k1, k2, k3 and k4 are the proportions of pH value, ammonia nitrogen, permanganate index and dissolved oxygen index in the overall water pollution index, respectively, which change with the pollution severity corresponding to each index. If the pH value is not within the standard range, the ammonia nitrogen and permanganate index are higher, and the dissolved oxygen index is lower, the overall water pollution index of the water area in the time period T is higher, and the pollution is more serious;

[0061] Step A13: Define the critical value of water pollution level as P a and P z , when P <P a When P a ≤P≤P z When P>P z When the water pollution level is determined to be level three, it exceeds the highest standard warning value;

[0062] Step A14: After the classification is completed, different levels of water bodies are marked with different colors on the map according to the classification levels, so that the client can directly view them, and click on the corresponding color to view the corresponding pollution value.

[0063] Step A2 is specifically as follows: after detecting pollutants, the sensor searches the monitored water area to obtain the pollutant emissions in the monitored water area within one day, and displays the daily statistical emission data on the map after processing. The client can view the changes in pollutant emissions in each water area in real time and compare them with the prescribed standard emissions. For water areas where emissions exceed the prescribed standard, an early warning notification is directly issued to the client. The relevant departments can warn or impose fines on the relevant areas that exceed the standard for illegal discharge of sewage based on the test results.

[0064] Step A3 further comprises the following steps:

[0065] Step A31: Set the standard pH range to [W a , W b ], the standard ammonia nitrogen, permanganate index and dissolved oxygen index are X, Y and Z respectively, and the threshold of each parameter is K. The specific value of K is set by the user according to the historical data in the big data. Try to avoid setting a small threshold that will cause frequent alarm prompts, or a threshold that is too large, which may not give timely warnings for some monitoring data that exceeds the standard;

[0066] Step A32: When each index is within the threshold range of the standard value, an early warning is processed according to the classification level of the pollution index. When the pollution level is level one, no early warning notification is required; when the pollution level is level two, an early warning reminder is issued to users near the water area to perform appropriate water cleaning operations to avoid poor water quality due to lack of experience or lack of supervision by farmers, resulting in economic losses; when the pollution level is level three, an early warning notification must be issued immediately to the client, and the environmental protection department must be notified for further processing;

[0067] Step A33: When one of the four indexes exceeds the threshold range of the standard value, that is, the pH value is less than W a +K or greater than W z +K, ammonia nitrogen index is greater than X+K, permanganate index is greater than Y+K, dissolved oxygen index is greater than Z+K, then there is no need to go through the level division, and an early warning of a specific index seriously exceeding the standard can be directly issued to the client. The system will save each monitoring data, and summarize the changing trend of water quality index monitoring data with reference to previous data to determine whether the data exceeds the upper and lower fluctuation range of the changing trend. Users can set the specific value of K based on the upper and lower fluctuation range critical values ​​as reference standards.

[0068] The main operation method of the real-time operation monitoring module includes the following steps:

[0069] Step B1: During the monitoring process, the monitoring water area management module adds, deletes and modifies the monitoring water area, monitoring point names and geographic coordinate information in real time, and locates each monitoring point on a map;

[0070] Step B2: After obtaining the analyzed and processed water area information and water quality data information in the database, the data is processed, and a system map is made based on the scope of each monitoring area. The monitoring points and monitoring content data are placed in the map. When processing the data, all water pollution data of different water areas are placed in a suitable geographic coordinate system and processed into a data file that can be displayed in real time on an electronic map. After the base map is generated, a workspace is created, and the data is added to the workspace in the form of a group, that is, one water area corresponds to geographic location information, multiple water quality information and pollutant emission information, which is a group of data. Each group of data corresponds to one or more layers. According to user clicks, the background data is asynchronously requested. After the corresponding valid corresponding data is obtained, it is comprehensively displayed to the user in the form of data tables, icons, and layers;

[0071] Step B3: By clicking on the map, you can locate the area covered by the water layer, and display the locations of all water quality grade surfaces on the map in the form of water coverage. The water quality status of the monitoring point is represented by an icon, and the pollution level of the water quality is represented by color;

[0072] Step B4: Through the visualization of the water environment, real-time water quality dynamic information is displayed, and the water pollution level of different water areas is monitored in real time.

[0073] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0074] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The environmental pollution monitoring system based on big data includes a water quality data acquisition module, a water pollution data analysis module and a real-time operation monitoring module, which is characterized by: The water quality data acquisition module is used to acquire water quality information of the water area, the water pollution data analysis module is used to analyze the acquired water quality data information, and the real-time operation monitoring module is used to monitor water pollution in the water area in real time. The real-time operation monitoring module and the water pollution data analysis module are both connected to the water quality data acquisition module network; The water quality data acquisition module includes a storage database module, a water quality sensor acquisition unit, a geographic information display module and a data preprocessing module. The storage database module is used to store water quality data information and water area information collected from the water area. The water quality sensor acquisition unit is used to collect water quality information of the water area. The geographic information display module is used to display the location of the water area for water quality monitoring. The data preprocessing module is used to preprocess the collected data information. The water quality sensor acquisition unit, the geographic information display module and the data preprocessing module are all network-linked to the storage database module. The water pollution data analysis module includes a water quality grade classification module, a pollutant load statistics module and an abnormal data early warning module. The water quality grade classification module is used to classify the water pollution of the water area according to the water quality information, the pollutant load statistics module is used to count the pollutant load of the water area, and the abnormal data early warning module is used to issue an early warning when the water quality data is abnormal; the abnormal data early warning module is connected to the water quality grade classification module and the pollutant load statistics module through a network; the abnormal data early warning module includes an early warning standard setting submodule, and the early warning standard setting submodule is used to set early warnings according to different standards; The real-time operation monitoring module includes a monitoring water area management module, a comprehensive display module and a dynamic monitoring module. The monitoring water area management module is used to manage the monitored water area, the comprehensive display module is used to comprehensively display the water quality information of each water area, and the dynamic monitoring module is used to dynamically monitor the water area with water pollution. The comprehensive display module is connected to the monitoring water area management module through a network, and the dynamic detection module is connected to the comprehensive display module through a network. The main operation method of the water quality data acquisition module includes the following steps: Step S1: Establish a storage database, and store the water quality information detected by the sensor and the water area information within the monitoring range in the database; Step S2: placing multiple water quality sensors in the form of robotic fish in each monitored water area to perform data sampling; Step S3: After acquiring the data, the current signal collected by the sensor is converted into a corresponding voltage signal through the acquisition card, and then the converted voltage signal is transmitted to the main control chip with an AD sampling port, and the analog signal in the chip is converted into a corresponding digital signal; Step S4: A PC is placed at each collection point, the PC acquires water quality data on the collection card, and the wireless network sends the data to the monitoring system and saves it in the database; Step S5: The geographic information display module asynchronously obtains response data according to the user's click and displays the geographic location information of the monitored water area required by the user to the user; Step S6: After acquiring the data collected by the sensor, the data preprocessing module cleans up the collected water quality index data, removes illegal data, cleans invalid data with missing values ​​and duplicate values, and stores valid data in the database; The operation method of the water pollution data analysis module mainly includes the following steps: Step A1: Obtain the specific water quality information values ​​collected, and classify the water pollution level of the monitored water area according to the calculation; Step A2: The pollutant load statistics module counts the discharge of different chemical substances in the water quality within a specific time period queried by the user; Step A3: According to the water pollution level of each area calculated by the water quality classification module, an early warning notification is issued to the client according to the different levels; The step A1 further comprises the following steps: Step A11: The system obtains the n-segment pH values ​​[W1, W2…W n ], ammonia nitrogen index [X1, X2…X n ], permanganate index [Y1, Y2…Y n ], and dissolved oxygen index [Z1, Z2…Z n ], analyze the overall water pollution index within the time period, calculate the overall water pollution index within the water period T and classify the water pollution level; Step A12: The specific overall water pollution index P is calculated as follows: In the formula, k1, k2, k3 and k4 are the proportions of pH value, ammonia nitrogen, permanganate index and dissolved oxygen index in the overall water pollution index, which vary with the severity of pollution corresponding to each index; Step A13: Define the critical value of water pollution level as P a and P z , when P <P a When P a ≤P≤P z When P>P z When the water pollution level is determined to be level three; Step A14: After the classification is completed, different levels of water areas are marked with different colors on the map according to the different classification levels; The step A2 is specifically as follows: after the sensor detects the pollutants, it searches the monitored water area to obtain the pollutant emissions in the monitored water area in one day, and displays the daily statistical emissions data on the map water area after processing. The client can view the changes in the pollutant emissions of each water area in real time and compare them with the prescribed standard emissions. For water areas where the emissions exceed the prescribed standard, an early warning notification is directly issued to the client; The step A3 further comprises the following steps: Step A31: Set the standard pH range to [W a , W b ], the standard ammonia nitrogen, permanganate index and dissolved oxygen index are X, Y, and Z respectively, and the threshold of each parameter is K; Step A32: When each index is within the threshold range of the standard value, an early warning is processed according to the classification level of the pollution index. When the pollution level is level 1, no early warning notification is required; when the pollution level is level 2, an early warning reminder is issued to users near the water area to perform appropriate water cleaning operations; when the pollution level is level 3, an early warning notification must be immediately issued to the client, and the environmental protection department must be notified for further processing; Step A33: When one of the four indexes exceeds the threshold range of the standard value, an early warning that a specific index is seriously exceeded can be directly issued to the client without going through the level classification; The main operation method of the real-time operation monitoring module includes the following steps: Step B1: During the monitoring process, the monitoring water area management module adds, deletes and modifies the monitoring water area, monitoring point names and geographic coordinate information in real time, and locates each monitoring point on a map; Step B2: After obtaining the analyzed and processed water area information and water quality data information in the database, the data is processed, a system map is made based on the scope of each monitoring area, and each monitoring point and monitoring content data is placed in the map; Step B3: By clicking on the map, the locations of all water quality grade surfaces on the map are displayed in the form of water area coverage, the water quality status of the monitoring point is indicated by an icon, and the pollution level of the water quality is indicated by color; Step B4: Through the visualization of the water environment, real-time water quality dynamic information is displayed, and the water pollution level of different water areas is monitored in real time.

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