Multi-scale comprehensive processing method, system and device based on water quality monitoring big data

Abstract

The application discloses a multi-scale comprehensive processing method, system and device based on water quality monitoring big data, and the method comprises the following steps: acquiring first water quality monitoring data of a water environment; determining a first water quality state change index according to the first water quality monitoring data; determining whether the water quality of the water environment is abnormal according to the first water quality state change index; and issuing a warning if the water quality of the water environment is abnormal. After the multi-scale comprehensive processing of the water quality monitoring big data, the water quality state change index is obtained, and whether the water quality of the water environment is abnormal is determined through the change of the water quality state change index, so that the water quality state of the water environment can be mastered in real time, and the water quality state change index can be used as technical support and decision assistance for subsequent processing of the water environment, thereby realizing comprehensive evaluation, dynamic change prediction, water quality abnormality early warning of the water environment quality and other transformation applications of water environment monitoring data processing results.

Description

Technical Field

[0001] This application belongs to the field of water environment and quality monitoring applications, and specifically relates to a multi-scale integrated processing method, system and device based on big data of water quality monitoring. Background Technology

[0002] Water environment quality monitoring is the foundation of scientific research on water resource protection, one of the basic means of protecting water resources, and an important means of assessing water quality at water sources, monitoring pollutant emissions, and ensuring water safety. It plays an important role in safeguarding ecological and environmental protection, optimizing resource utilization, and improving the quality of life for citizens.

[0003] Although there are many current methods for monitoring water quality, they all primarily rely on the collection of water quality monitoring indicators. They typically determine water quality status based on changes in indicators at a single monitoring point, failing to comprehensively process the data across multiple scales to objectively and holistically assess water quality. Consequently, they cannot accurately and promptly predict and issue early warnings about potential water quality anomalies based on changes in water quality status. Furthermore, they cannot effectively utilize existing historical data from water environment status databases, nor can they link current monitoring data with relevant historical data to identify similar or related causes of water quality anomalies or pollution, along with corresponding mechanisms and preventative measures. This data is insufficient to provide technical support and decision-making assistance for subsequent water quality anomaly management. Summary of the Invention

[0004] In view of the above problems, this application provides a multi-scale integrated processing method, system and device based on big data of water quality monitoring to solve the above technical problems.

[0005] This application provides the following technical solutions:

[0006] Firstly, this application provides a multi-scale integrated processing method based on big data from water quality monitoring, the method comprising:

[0007] Obtain primary water quality monitoring data for the aquatic environment;

[0008] Based on the first water quality monitoring data, a first water quality status change index is determined;

[0009] Based on the first water quality status change index, determine whether the water quality of the aquatic environment is abnormal;

[0010] If the water quality of the aforementioned water environment becomes abnormal, an early warning will be issued.

[0011] The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status;

[0012] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment;

[0013] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0014] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0015] Furthermore, determining the first water quality state change index based on the first water quality monitoring data includes:

[0016] Extract the second and third water quality monitoring data from the first water quality monitoring data;

[0017] Based on the second water quality monitoring data, a second water quality status change index is determined;

[0018] Based on the aforementioned third water quality monitoring data, a third water quality status change index is determined;

[0019] The second water quality state change index and the third water quality state change index are used as the first water quality state change index;

[0020] The second water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at a single monitoring point;

[0021] The third water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at multiple monitoring points.

[0022] The second water quality status change index is the degree of change of real-time data of at least one water quality monitoring indicator collected at a single monitoring point of the current water environment;

[0023] The third water quality state change index is the comprehensive degree of change of real-time data of at least one water quality monitoring indicator collected at multiple monitoring points of the current water environment.

[0024] Furthermore, determining whether the water quality of the aquatic environment is abnormal based on the first water quality state change index includes:

[0025] If the second water quality state change index is less than the first change threshold, then the first water quality state change index is determined to be normal, and the water quality state of the water environment is normal.

[0026] If the second water quality state change index is greater than or equal to the first change threshold and less than or equal to the second change threshold, then a third water quality state change index is used for further determination, as follows:

[0027] (1) If the third water quality state change index is less than the third change threshold, then the first water quality state change index is determined to be normal and the water quality state of the water environment is normal.

[0028] (2) If the third water quality state change index is greater than or equal to the third change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0029] If the second water quality state change index is greater than the second change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0030] The first change threshold and the second change threshold are both thresholds corresponding to the second water quality state change index, and the first change threshold is less than the second change threshold.

[0031] The third change threshold is the threshold corresponding to the third water quality state change index;

[0032] Furthermore, the second water quality status change index is the data change rate of water quality monitoring indicators at the monitoring points, as detailed below:

[0033]

[0034] Among them, T s1 The rate of change of water quality monitoring indicators at a specific monitoring point;

[0035] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0036] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0037] Specifically, since the numerical changes of different water quality monitoring indicators are in different directions, the difference in data changes of water quality monitoring indicators at the monitoring points in this application adopts the method of taking the absolute value, which directly reflects the degree of data change at the monitoring point.

[0038] Furthermore, the third water quality state change index is the degree of anomaly of the water quality monitoring indicators, as detailed below:

[0039]

[0040] Among them, T s2 The degree of abnormality of a certain water quality monitoring indicator;

[0041] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0042] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0043] n represents the total number of monitoring points for this water quality monitoring indicator in the river water environment;

[0044] This refers to the average of all first-order variations of the water quality monitoring indicator in its first data set;

[0045] This refers to the maximum value among all the first variations of the water quality monitoring indicator in its first data set;

[0046] The first monitoring value is the previous monitoring value of the water quality monitoring indicator in a certain monitoring cycle; in contrast, the second monitoring value is the last monitoring value of the water quality monitoring indicator in the same monitoring cycle; the time interval between the first monitoring value and the second monitoring value is one monitoring cycle.

[0047] The first data is the monitoring data under normal conditions from the historical monitoring data of this water quality monitoring indicator;

[0048] The first change range is the absolute value of the percentage increase or decrease of the second monitoring value compared to the first monitoring value within a monitoring period;

[0049] The above parameters are all data from the same water quality monitoring indicator in the same aquatic environment;

[0050] Furthermore, if the water quality of the aquatic environment becomes abnormal, an early warning is issued, which further includes:

[0051] From the water environment status database, historical data of abnormal water quality status that are highly correlated with abnormal water quality conditions in the water environment are selected.

[0052] The historical data of the filtered abnormal water quality status are sorted by correlation.

[0053] When issuing an early warning, the causes, mechanisms, and prevention and control measures for water quality anomalies, ranked from high to low correlation, are output along with the early warning information.

[0054] The water environment status database is a database composed of various historical data related to the water quality status of the water environment.

[0055] The historical data on abnormal water quality states includes, but is not limited to: water quality monitoring indicators and their data related to the abnormal water quality states, the causes of the water quality abnormalities, the mechanisms of occurrence, and prevention and control measures.

[0056] Furthermore, the step of filtering historical data on abnormal water quality states that are highly correlated with abnormal water quality conditions from the water environment status database includes:

[0057] From the current abnormal water quality situation in the water environment, extract the abnormal water quality monitoring indicators and their related data as water quality monitoring indicator data to be correlated;

[0058] Based on the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states in the water environment status database, the first degree of correlation is determined.

[0059] Based on the first degree of correlation, at least one set of historical data on abnormal water quality states that has a high degree of correlation with the water quality monitoring index data to be correlated is selected.

[0060] The first correlation degree is the correlation degree between the water quality monitoring indicator data to be correlated and the historical data of each group of abnormal water quality status in the water environment status database;

[0061] Furthermore, the first degree of correlation is as follows:

[0062]

[0063] Among them, M k The correlation between the water quality monitoring index data to be correlated and the historical data of the kth group of abnormal water quality status in the water environment status database;

[0064] m1 is the first weight;

[0065] m2 is the second weight, and m1+m2=1;

[0066] α is the first correlation parameter, and 0 < α < 1;

[0067] β is the second correlation parameter, and 0 < β < 1;

[0068] B k The cross-sectional width of the river corresponding to the k-th group of abnormal water quality historical data in the water environment status database;

[0069] H k The cross-sectional depth of the river corresponding to the k-th group of historical abnormal water quality data in the water environment status database;

[0070] B s The cross-sectional width of the river corresponding to the water quality monitoring index data to be associated;

[0071] H s The cross-sectional depth of the river corresponding to the water quality monitoring index data to be correlated;

[0072] t sThe monitoring period for the water quality monitoring indicators to be correlated;

[0073] t k The monitoring period for the kth group of historical abnormal water quality data in the water environment status database;

[0074] k j1 It is the first monitoring value of the historical data of the kth group of abnormal water quality status in the water environment status database;

[0075] k j2 It is the second monitoring value of the historical data of the kth group of abnormal water quality status in the water environment status database;

[0076] Here, max{R} represents the maximum value among all data that satisfy the expression R.

[0077] Secondly, this application provides a multi-scale integrated processing system based on big data from water quality monitoring, the system comprising:

[0078] The water quality status acquisition module is used to acquire the first water quality monitoring data of the aquatic environment;

[0079] The water quality index calculation module is used to determine the first water quality state change index based on the first water quality monitoring data.

[0080] The water quality anomaly judgment module is used to determine whether the water quality of the water environment is abnormal based on the first water quality state change index.

[0081] The water quality anomaly early warning module is used to issue an early warning when the water quality of the water environment becomes abnormal;

[0082] The first water quality monitoring data is a large dataset of various water quality monitoring indicators that characterize the current water environment and water quality status;

[0083] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment.

[0084] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0085] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0086] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the first aspect.

[0087] Fourthly, this application provides a computer device including a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement the method as described in the first aspect.

[0088] In summary, this application performs multi-scale comprehensive processing of various water quality monitoring indicators related to the current water environment's water quality status to obtain a water quality status change index. By analyzing changes in this index, it determines whether water quality anomalies have occurred. If anomalies are detected, an early warning is issued. Furthermore, after an anomaly is detected and an early warning is issued, various historical data from the water environment status database are used to filter out historical data with a high correlation to the water quality anomalies. The causes, mechanisms, and prevention measures for the water quality anomalies in these historical data are then identified. This approach not only enables real-time monitoring of the water environment's water quality status and timely early warning when anomalies occur, but also allows for the identification of similar or related causes of water quality anomalies or pollution from historical data, along with corresponding mechanisms and prevention measures. This provides technical support and decision-making assistance for subsequent water quality anomaly management, achieving comprehensive assessment of water environment quality, dynamic change prediction, water quality anomaly early warning, and other transformation and applications of water environment monitoring data processing results. Attached Figure Description

[0089] For ease of explanation, this application is described in detail below with reference to specific embodiments and accompanying drawings.

[0090] Figure 1 This is one of the flowcharts illustrating the method of this application;

[0091] Figure 2 This is the second schematic diagram of the method flow of this application;

[0092] Figure 3 This is the third schematic diagram of the method flow of this application;

[0093] Figure 4 This is a schematic diagram of the system structure of this application;

[0094] Figure 5 This is a schematic diagram of a computer-readable storage medium according to this application;

[0095] Figure 6 This is a schematic diagram of the computer device described in this application. Detailed Implementation

[0096] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the figures. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0097] Example 1

[0098] like Figure 1 As shown in the figure, this embodiment provides a multi-scale integrated processing method based on big data from water quality monitoring. The method includes:

[0099] Obtain primary water quality monitoring data for the aquatic environment;

[0100] Based on the first water quality monitoring data, a first water quality status change index is determined;

[0101] Based on the first water quality status change index, determine whether the water quality of the aquatic environment is abnormal;

[0102] If the water quality of the aforementioned water environment becomes abnormal, an early warning will be issued.

[0103] The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status;

[0104] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment;

[0105] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0106] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0107] This application uses relevant data from various water quality monitoring indicators that characterize the current water quality status to determine a water quality status change index. This index reflects the changes and extent of changes in the current water quality status. By analyzing the changes in the water quality status change index, it can determine whether there are any abnormalities in the water quality. If an abnormality is detected, an early warning will be issued. This allows for real-time monitoring of the water quality status, enabling the timely detection of any abnormalities and providing timely warnings.

[0108] Since the big data on water quality monitoring of the aquatic environment, namely the first water quality monitoring data, includes data not only at different time scales but also at different spatial scales, the processing of the big data on water quality monitoring can be carried out at multiple different spatiotemporal scales. Therefore, if different spatiotemporal scales of the water quality monitoring data are used, the obtained first water quality state change index will also be different, and the scale range of the water quality state changes reflected will also be different. Therefore, this application can obviously perform multi-scale comprehensive data processing based on different spatiotemporal scales of the big data on water quality monitoring to obtain water quality state change indices at different scales.

[0109] Furthermore, such as Figure 2 As shown, determining the first water quality state change index based on the first water quality monitoring data includes:

[0110] Extract the second and third water quality monitoring data from the first water quality monitoring data;

[0111] Based on the second water quality monitoring data, a second water quality status change index is determined;

[0112] Based on the aforementioned third water quality monitoring data, a third water quality status change index is determined;

[0113] The second water quality state change index and the third water quality state change index are used as the first water quality state change index;

[0114] The second water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at a single monitoring point;

[0115] The third water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at multiple monitoring points.

[0116] The second water quality status change index is the degree of change of real-time data of at least one water quality monitoring indicator collected at a single monitoring point of the current water environment;

[0117] The third water quality state change index is the comprehensive degree of change of real-time data of at least one water quality monitoring indicator collected at multiple monitoring points of the current water environment.

[0118] This application divides the first water quality state change index into two specific indices: the second water quality state change index and the third water quality state change index. In this way, the real-time data changes of a single monitoring point are combined with the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points, and used together as the first water quality state change index. This allows for a more comprehensive understanding of the current water quality state changes and their extent, providing more comprehensive and accurate basic data for subsequent judgments on whether water quality is abnormal, and improving the accuracy of water quality anomaly judgments and the real-time nature of early warnings.

[0119] In other words, this application combines the local changes from single-point monitoring (i.e., the second water quality state change index) and the overall changes from multi-point monitoring (i.e., the third water quality state change index) related to the water environment and water quality status into a comprehensive index (i.e., the first water quality state change index). This comprehensive index not only takes into account the monitoring from multiple angles at both single and multi-point locations, but also reflects the water environment and water quality status more comprehensively and accurately. It provides more comprehensive and accurate basic data for the subsequent comprehensive judgment of whether the water environment and water quality are abnormal, and improves the accuracy and real-time nature of the judgment of water quality anomalies.

[0120] Furthermore, such as Figure 3 As shown, determining whether the water quality of the aquatic environment is abnormal based on the first water quality state change index includes:

[0121] If the second water quality state change index is less than the first change threshold, then the first water quality state change index is determined to be normal, and the water quality state of the water environment is normal.

[0122] If the second water quality state change index is greater than or equal to the first change threshold and less than or equal to the second change threshold, then a third water quality state change index is used for further determination, as follows:

[0123] (1) If the third water quality state change index is less than the third change threshold, then the first water quality state change index is determined to be normal and the water quality state of the water environment is normal.

[0124] (2) If the third water quality state change index is greater than or equal to the third change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0125] If the second water quality state change index is greater than the second change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0126] The first change threshold and the second change threshold are both thresholds corresponding to the second water quality state change index, and the first change threshold is less than the second change threshold.

[0127] The third change threshold is the threshold corresponding to the third water quality state change index;

[0128] The method for determining the first water quality state change index in this application is derived through a comprehensive judgment of the second and third water quality state change indices. First, the relationship between the second water quality state change index and the first and second change thresholds is used to preliminarily determine whether the water environment quality is abnormal. Then, the relationship between the third water quality state change index and the third change threshold is used to further accurately determine whether the water environment quality is abnormal. In this way, the real-time data changes of the same water quality monitoring indicator at a single monitoring point are combined with the comprehensive data changes at multiple monitoring points to jointly determine whether the water environment quality is abnormal. This not only makes the judgment process more consistent with the actual situation of the water environment quality, but also makes the conclusions more accurate.

[0129] Example 2

[0130] like Figure 1 As shown in the figure, this embodiment provides a multi-scale integrated processing method based on big data from water quality monitoring. The method includes:

[0131] Obtain primary water quality monitoring data for the aquatic environment;

[0132] Based on the first water quality monitoring data, a first water quality status change index is determined;

[0133] Based on the first water quality status change index, determine whether the water quality of the aquatic environment is abnormal;

[0134] If the water quality of the aforementioned water environment becomes abnormal, an early warning will be issued.

[0135] The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status;

[0136] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment;

[0137] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0138] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0139] This application uses relevant data from various water quality monitoring indicators that characterize the current water quality status to determine a water quality status change index. This index reflects the changes and extent of changes in the current water quality status. By analyzing the changes in the water quality status change index, it can determine whether there are any abnormalities in the water quality. If an abnormality is detected, an early warning will be issued. This allows for real-time monitoring of the water quality status, enabling the timely detection of any abnormalities and providing timely warnings.

[0140] Furthermore, such as Figure 2 As shown, determining the first water quality state change index based on the first water quality monitoring data includes:

[0141] Extract the second and third water quality monitoring data from the first water quality monitoring data;

[0142] Based on the second water quality monitoring data, a second water quality status change index is determined;

[0143] Based on the aforementioned third water quality monitoring data, a third water quality status change index is determined;

[0144] The second water quality state change index and the third water quality state change index are used as the first water quality state change index;

[0145] The second water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at a single monitoring point;

[0146] The third water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at multiple monitoring points.

[0147] The second water quality status change index is the degree of change of real-time data of at least one water quality monitoring indicator collected at a single monitoring point of the current water environment;

[0148] The third water quality state change index is the comprehensive degree of change of real-time data of at least one water quality monitoring indicator collected at multiple monitoring points of the current water environment.

[0149] This application divides the first water quality state change index into two specific indices: the second water quality state change index and the third water quality state change index. In this way, the real-time data changes of a single monitoring point are combined with the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points, and used together as the first water quality state change index. This allows for a more comprehensive understanding of the current water quality state changes and their extent, providing more comprehensive and accurate basic data for subsequent judgments on whether water quality is abnormal, and improving the accuracy of water quality anomaly judgments and the real-time nature of early warnings.

[0150] In other words, this application combines the local changes from single-point monitoring (i.e., the second water quality state change index) and the overall changes from multi-point monitoring (i.e., the third water quality state change index) related to the water environment and water quality status into a comprehensive index (i.e., the first water quality state change index). This comprehensive index not only takes into account the monitoring from multiple angles at both single and multi-point locations, but also reflects the water environment and water quality status more comprehensively and accurately. It provides more comprehensive and accurate basic data for the subsequent comprehensive judgment of whether the water environment and water quality are abnormal, and improves the accuracy and real-time nature of the judgment of water quality anomalies.

[0151] Furthermore, such as Figure 3 As shown, determining whether the water quality of the aquatic environment is abnormal based on the first water quality state change index includes:

[0152] If the second water quality state change index is less than the first change threshold, then the first water quality state change index is determined to be normal, and the water quality state of the water environment is normal.

[0153] If the second water quality state change index is greater than or equal to the first change threshold and less than or equal to the second change threshold, then a third water quality state change index is used for further determination, as follows:

[0154] (1) If the third water quality state change index is less than the third change threshold, then the first water quality state change index is determined to be normal and the water quality state of the water environment is normal.

[0155] (2) If the third water quality state change index is greater than or equal to the third change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0156] If the second water quality state change index is greater than the second change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0157] The first change threshold and the second change threshold are both thresholds corresponding to the second water quality state change index, and the first change threshold is less than the second change threshold.

[0158] The third change threshold is the threshold corresponding to the third water quality state change index;

[0159] The method for determining the first water quality state change index in this application is derived through a comprehensive judgment of the second and third water quality state change indices. First, the relationship between the second water quality state change index and the first and second change thresholds is used to preliminarily determine whether the water environment quality is abnormal. Then, the relationship between the third water quality state change index and the third change threshold is used to further accurately determine whether the water environment quality is abnormal. By combining the real-time data changes of a single monitoring point with the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points, a comprehensive judgment on whether the water environment quality is abnormal can be made. This not only makes the judgment process more consistent with the actual water environment quality status, but also makes the conclusions more accurate.

[0160] Furthermore, the second water quality status change index is the data change rate of water quality monitoring indicators at the monitoring points, as detailed below:

[0161]

[0162] Among them, T s1 The rate of change of water quality monitoring indicators at a specific monitoring point;

[0163] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0164] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0165] Specifically, since the numerical changes of different water quality monitoring indicators are in different directions, the difference in data changes of water quality monitoring indicators at the monitoring points in this application adopts the method of taking the absolute value, which directly reflects the degree of data change at the monitoring point.

[0166] Furthermore, the third water quality state change index is the degree of anomaly of the water quality monitoring indicators, as detailed below:

[0167]

[0168] Among them, T s2 The degree of abnormality of a certain water quality monitoring indicator;

[0169] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0170] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0171] n represents the total number of monitoring points for this water quality monitoring indicator in the river water environment;

[0172] This refers to the average of all first-order variations of the water quality monitoring indicator in its first data set;

[0173] This refers to the maximum value among all the first variations of the water quality monitoring indicator in its first data set;

[0174] The first monitoring value is the previous monitoring value of the water quality monitoring indicator in a certain monitoring cycle; in contrast, the second monitoring value is the last monitoring value of the water quality monitoring indicator in the same monitoring cycle; the time interval between the first monitoring value and the second monitoring value is one monitoring cycle.

[0175] The first data is the monitoring data under normal conditions from the historical monitoring data of this water quality monitoring indicator;

[0176] The first change range is the absolute value of the percentage increase or decrease of the second monitoring value compared to the first monitoring value within a monitoring period;

[0177] The above parameters are all data from the same water quality monitoring indicator in the same aquatic environment;

[0178] Because the third water quality state change index of this application is obtained by comparing the changes in data collected from multiple monitoring points for a water quality monitoring indicator with the monitoring data under normal conditions in the historical monitoring data of that water quality monitoring indicator, it is a comprehensive index reflecting the changes in data collected at different monitoring points. In other words, it represents the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points. Therefore, the third water quality state change index belongs to the category of horizontal indices reflecting changes in water quality state. The second water quality state change index, on the other hand, reflects the data changes of the same water quality monitoring indicator at a single monitoring point. Therefore, the second water quality state change index belongs to the category of indices reflecting changes in water quality state. The first water quality state change index is a comprehensive index composed of the second and third water quality state change indices. It can accurately reflect the changes in water quality monitoring data at a single monitoring point (i.e., the second water quality state change index) and the changes in water quality monitoring data at multiple monitoring points (i.e., the third water quality state change index). This combines the horizontal and vertical indices of water quality state change from multiple perspectives to form a comprehensive water quality change index, enabling the first water quality state change index to more comprehensively, objectively, and accurately reflect the current water quality state of the water environment.

[0179] Example 3

[0180] like Figure 1As shown in the figure, this embodiment provides a multi-scale integrated processing method based on big data from water quality monitoring. The method includes:

[0181] Obtain primary water quality monitoring data for the aquatic environment;

[0182] Based on the first water quality monitoring data, a first water quality status change index is determined;

[0183] Based on the first water quality status change index, determine whether the water quality of the aquatic environment is abnormal;

[0184] If the water quality of the aforementioned water environment becomes abnormal, an early warning will be issued.

[0185] The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status;

[0186] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment;

[0187] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0188] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0189] From the water environment status database, historical data of abnormal water quality status that are highly correlated with abnormal water quality conditions in the water environment are selected.

[0190] The historical data of the filtered abnormal water quality status are sorted by correlation.

[0191] When issuing an early warning, the causes, mechanisms, and prevention and control measures for water quality anomalies, ranked from high to low correlation, are output along with the early warning information.

[0192] The water environment status database is a database composed of various historical data related to the water quality status of the water environment.

[0193] The historical data on abnormal water quality states includes, but is not limited to: water quality monitoring indicators and their data related to the abnormal water quality states, the causes of the water quality abnormalities, the mechanisms of occurrence, and prevention and control measures.

[0194] This application, after an anomaly in water quality is detected and an early warning is issued, utilizes various historical data from a water environment status database to filter out historical data with a high correlation to the anomaly. It then identifies the causes, mechanisms, and prevention measures for the anomalies within this highly correlated historical data. This approach not only issues early warnings but also, based on these warnings, identifies similar or related causes of water quality anomalies or pollution from historical data, along with corresponding mechanisms and prevention measures, providing technical support and decision-making assistance for subsequent water quality anomaly management.

[0195] Furthermore, the step of filtering historical data on abnormal water quality states that are highly correlated with abnormal water quality conditions from the water environment status database includes:

[0196] From the current abnormal water quality situation in the water environment, extract the abnormal water quality monitoring indicators and their related data as water quality monitoring indicator data to be correlated;

[0197] Based on the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states in the water environment status database, the first degree of correlation is determined.

[0198] Based on the first degree of correlation, at least one set of historical data on abnormal water quality states that has a high degree of correlation with the water quality monitoring index data to be correlated is selected.

[0199] The first correlation degree is the correlation degree between the water quality monitoring indicator data to be correlated and the historical data of each group of abnormal water quality status in the water environment status database;

[0200] This application extracts water quality monitoring index data to be correlated from the current water quality anomalies in the aquatic environment, providing accurate data for determining the first correlation degree. At the same time, it uses the water quality monitoring index data to be correlated and historical data of each group of abnormal water quality states in the water environment status database to determine the first correlation degree one by one. This provides an accurate basis for ranking the causes, mechanisms and prevention and control measures of water quality anomalies with high to low correlation degrees, which will be output together with the early warning information.

[0201] Furthermore, the first degree of correlation is as follows:

[0202]

[0203] Among them, M k The correlation between the water quality monitoring index data to be correlated and the historical data of the kth group of abnormal water quality status in the water environment status database;

[0204] α is the first correlation parameter, and 0 < α < 1;

[0205] β is the second correlation parameter, and 0 < β < 1;

[0206] B k The cross-sectional width of the river corresponding to the k-th group of abnormal water quality historical data in the water environment status database;

[0207] H k The cross-sectional depth of the river corresponding to the k-th group of historical abnormal water quality data in the water environment status database;

[0208] B s The cross-sectional width of the river corresponding to the water quality monitoring index data to be associated;

[0209] H s The cross-sectional depth of the river corresponding to the water quality monitoring index data to be correlated;

[0210] t s The monitoring period for the water quality monitoring indicators to be correlated;

[0211] t k The monitoring period for the kth group of historical abnormal water quality data in the water environment status database;

[0212] k j1 It is the first monitoring value of the historical data of the kth group of abnormal water quality status in the water environment status database;

[0213] k j2 It is the second monitoring value of the historical data of the kth group of abnormal water quality status in the water environment status database;

[0214] max{R} represents the maximum value among all data that satisfy the expression in R;

[0215] in, These are parameters for water environment sections, representing the correlation between the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states on the water environment section.

[0216] These are water environment water quality parameters, characterizing the correlation between the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states on the changes in water environment water quality state;

[0217] m1 represents the weight of the water environment section parameters;

[0218] m2 is the weight of the water environment water quality parameter, and m1+m2=1;

[0219] Specifically, the first correlation parameter and the second correlation parameter in the first correlation degree both have values ​​between 0 and 1. The magnitude of the value affects the convergence speed of the correlation degree value. Since the first correlation degree (i.e., the correlation degree between the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality status in the water environment status database) is determined using the same first correlation parameter and the second correlation parameter, the first correlation degree result obtained is based on the same calculation standard, so it does not affect the ranking result of the first correlation degree.

[0220] The first correlation in this application is obtained by weighting the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states on two different parameters (i.e., water environment section parameters and water environment water quality parameters) on the water environment cross-section and the changes in water environment water quality state. The water environment section parameters are the cross-sectional data of the water bodies corresponding to the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states; the water environment water quality parameters are the data changes of the same water quality monitoring index corresponding to the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states. This makes the first correlation include two aspects of correlation: one is the correlation in terms of the scale of the water body and the hydrodynamic environment, and the other is the correlation in terms of the data changes of the water quality monitoring index. The first correlation formed in this way can make the correlation between the water quality monitoring index data to be correlated and the historical data of abnormal water quality states in the water environment state database more accurate, and can also correlate more matching causes, mechanisms and prevention and control measures of water quality anomalies, ensuring the effectiveness of subsequent technical support and decision-making assistance for water quality anomaly treatment.

[0221] Example 4

[0222] like Figure 4 As shown in the figure, this embodiment provides a multi-scale integrated processing system based on big data from water quality monitoring. The system includes:

[0223] The water quality status acquisition module is used to acquire the first water quality monitoring data of the aquatic environment;

[0224] The water quality index calculation module is used to determine the first water quality state change index based on the first water quality monitoring data.

[0225] The water quality anomaly judgment module is used to determine whether the water quality of the water environment is abnormal based on the first water quality state change index.

[0226] The water quality anomaly early warning module is used to issue an early warning when the water quality of the water environment becomes abnormal;

[0227] The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status;

[0228] The first water quality status change index is a comprehensive index that reflects the changes and extent of changes in the current water quality status of the water environment.

[0229] The water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points;

[0230] The monitoring points are the specific locations of the monitoring points needed to monitor changes in the water quality of the aquatic environment.

[0231] Furthermore, such as Figure 2 As shown, determining the first water quality state change index based on the first water quality monitoring data includes:

[0232] Extract the second and third water quality monitoring data from the first water quality monitoring data;

[0233] Based on the second water quality monitoring data, a second water quality status change index is determined;

[0234] Based on the aforementioned third water quality monitoring data, a third water quality status change index is determined;

[0235] The second water quality state change index and the third water quality state change index are used as the first water quality state change index;

[0236] The second water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at a single monitoring point;

[0237] The third water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at multiple monitoring points.

[0238] The second water quality status change index is the degree of change of real-time data of at least one water quality monitoring indicator collected at a single monitoring point of the current water environment;

[0239] The third water quality state change index is the comprehensive degree of change of real-time data of at least one water quality monitoring indicator collected at multiple monitoring points of the current water environment.

[0240] This application divides the first water quality state change index into two specific indices: the second water quality state change index and the third water quality state change index. In this way, the real-time data changes of a single monitoring point are combined with the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points, and used together as the first water quality state change index. This allows for a more comprehensive understanding of the current water quality state changes and their extent, providing more comprehensive and accurate basic data for subsequent judgments on whether water quality is abnormal, and improving the accuracy of water quality anomaly judgments and the real-time nature of early warnings.

[0241] In other words, this application combines the local changes from single-point monitoring (i.e., the second water quality state change index) and the overall changes from multi-point monitoring (i.e., the third water quality state change index) related to the water environment and water quality status into a comprehensive index (i.e., the first water quality state change index). This comprehensive index not only takes into account the monitoring from multiple angles at both single and multi-point locations, but also reflects the water environment and water quality status more comprehensively and accurately. It provides more comprehensive and accurate basic data for the subsequent comprehensive judgment of whether the water environment and water quality are abnormal, and improves the accuracy and real-time nature of the judgment of water quality anomalies.

[0242] Furthermore, such as Figure 3 As shown, determining whether the water quality of the aquatic environment is abnormal based on the first water quality state change index includes:

[0243] If the second water quality state change index is less than the first change threshold, then the first water quality state change index is determined to be normal, and the water quality state of the water environment is normal.

[0244] If the second water quality state change index is greater than or equal to the first change threshold and less than or equal to the second change threshold, then a third water quality state change index is used for further determination, as follows:

[0245] (1) If the third water quality state change index is less than the third change threshold, then the first water quality state change index is determined to be normal and the water quality state of the water environment is normal.

[0246] (2) If the third water quality state change index is greater than or equal to the third change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0247] If the second water quality state change index is greater than the second change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal.

[0248] The first change threshold and the second change threshold are both thresholds corresponding to the second water quality state change index, and the first change threshold is less than the second change threshold.

[0249] The third change threshold is the threshold corresponding to the third water quality state change index;

[0250] The method for determining the first water quality state change index in this application is derived through a comprehensive judgment of the second and third water quality state change indices. First, the relationship between the second water quality state change index and the first and second change thresholds is used to preliminarily determine whether the water environment quality is abnormal. Then, the relationship between the third water quality state change index and the third change threshold is used to further accurately determine whether the water environment quality is abnormal. By combining the real-time data changes of a single monitoring point with the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points, a comprehensive judgment on whether the water environment quality is abnormal can be made. This not only makes the judgment process more consistent with the actual water environment quality status, but also makes the conclusions more accurate.

[0251] Furthermore, the second water quality status change index is the data change rate of water quality monitoring indicators at the monitoring points, as detailed below:

[0252]

[0253] Among them, T s1 The rate of change of water quality monitoring indicators at a specific monitoring point;

[0254] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0255] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0256] Specifically, since the numerical changes of different water quality monitoring indicators are in different directions, the difference in data changes of water quality monitoring indicators at the monitoring points in this application adopts the method of taking the absolute value, which directly reflects the degree of data change at the monitoring point.

[0257] Furthermore, the third water quality state change index is the degree of anomaly of the water quality monitoring indicators, as detailed below:

[0258]

[0259] Among them, T s2 The degree of abnormality of a certain water quality monitoring indicator;

[0260] s i1 This is the first monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0261] s i2 This is the second monitoring value of the water quality monitoring indicator at the i-th monitoring point in the river water environment;

[0262] n represents the total number of monitoring points for this water quality monitoring indicator in the river water environment;

[0263] This refers to the average of all first-order variations of the water quality monitoring indicator in its first data set;

[0264] This refers to the maximum value among all the first variations of the water quality monitoring indicator in its first data set;

[0265] The first monitoring value is the previous monitoring value of the water quality monitoring indicator in a certain monitoring cycle; in contrast, the second monitoring value is the last monitoring value of the water quality monitoring indicator in the same monitoring cycle; the time interval between the first monitoring value and the second monitoring value is one monitoring cycle.

[0266] The first data is the monitoring data under normal conditions from the historical monitoring data of this water quality monitoring indicator;

[0267] The first change range is the absolute value of the percentage increase or decrease of the second monitoring value compared to the first monitoring value within a monitoring period;

[0268] The above parameters are all data from the same water quality monitoring indicator in the same aquatic environment;

[0269] Because the third water quality state change index of this application is obtained by comparing the changes in data collected from multiple monitoring points for a water quality monitoring indicator with the monitoring data under normal conditions in the historical monitoring data of that water quality monitoring indicator, it is a comprehensive index reflecting the changes in data collected at different monitoring points. In other words, it represents the comprehensive data changes of the same water quality monitoring indicator at multiple monitoring points. Therefore, the third water quality state change index belongs to the category of horizontal indices reflecting changes in water quality state. The second water quality state change index, on the other hand, reflects the data changes of the same water quality monitoring indicator at a single monitoring point. Therefore, the second water quality state change index belongs to the category of indices reflecting changes in water quality state. The first water quality state change index is a comprehensive index composed of the second and third water quality state change indices. It can accurately reflect the changes in water quality monitoring data at a single monitoring point (i.e., the second water quality state change index) and the changes in water quality monitoring data at multiple monitoring points (i.e., the third water quality state change index). This combines the horizontal and vertical indices of water quality state change from multiple perspectives to form a comprehensive water quality change index, enabling the first water quality state change index to more comprehensively, objectively, and accurately reflect the current water quality state of the water environment.

[0270] Example 5

[0271] like Figure 5As shown, this embodiment provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any one of embodiments 1-3.

[0272] Example 6

[0273] like Figure 6 As shown, this embodiment provides a computer device, including a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program to implement the method described in any one of embodiments 1-3.

[0274] In summary, this application performs multi-scale comprehensive processing of various water quality monitoring indicators related to the current water environment's water quality status to obtain a water quality status change index. By analyzing changes in this index, it determines whether water quality anomalies have occurred. If anomalies are detected, an early warning is issued. Furthermore, after an anomaly is detected and an early warning is issued, various historical data from the water environment status database are used to filter out historical data with a high correlation to the water quality anomalies. The causes, mechanisms, and prevention measures for the water quality anomalies in these historical data are then identified. This approach not only enables real-time monitoring of the water environment's water quality status and timely early warning when anomalies occur, but also allows for the identification of similar or related causes of water quality anomalies or pollution from historical data, along with corresponding mechanisms and prevention measures. This provides technical support and decision-making assistance for subsequent water quality anomaly management, achieving comprehensive assessment of water environment quality, dynamic change prediction, water quality anomaly early warning, and other transformation and applications of water environment monitoring data processing results.

[0275] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, media, devices, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0276] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual formation or direct formation or communication connections may be formed or communicated indirectly through some interfaces, apparatuses, or units, and may be electrical, mechanical, or other forms.

[0277] The modules or units described as separate components may or may not be physically separate. The components shown as modules or units may or may not be physical modules or units; that is, they may be located in one place or distributed across multiple network modules or units. Some or all of the modules or units can be selected to achieve the purpose of this embodiment according to actual needs.

[0278] Furthermore, the functional modules or units in the various embodiments of this application can be integrated into one processing module or unit, or each module or unit can exist physically separately, or two or more modules or units can be integrated into one module or unit. The integrated modules or units described above can be implemented in hardware or as software functional units.

[0279] The integrated systems, modules, and units, if implemented as software functional units and sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0280] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and not to limit them; although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A multi-scale integrated processing method based on big data from water quality monitoring, characterized in that, The method includes: Obtain primary water quality monitoring data for the aquatic environment; Based on the first water quality monitoring data, a first water quality status change index is determined; Based on the first water quality status change index, determine whether the water quality of the aquatic environment is abnormal; If the water quality of the aforementioned water environment becomes abnormal, an early warning will be issued. The first water quality monitoring data refers to the relevant data of various water quality monitoring indicators that characterize the current water environment water quality status; the first water quality status change index is a comprehensive index that reflects the change and degree of the current water environment water quality status; the water quality monitoring indicators are the corresponding water quality indicators obtained by direct detection at the monitoring points; the monitoring points are the specific locations of the monitoring points required to monitor changes in the water environment water quality status. The step of determining the first water quality state change index based on the first water quality monitoring data includes: From the first water quality monitoring data, extract the second water quality monitoring data and the third water quality monitoring data; determine the second water quality state change index based on the second water quality monitoring data; determine the third water quality state change index based on the third water quality monitoring data; The second water quality state change index and the third water quality state change index are used together as the first water quality state change index; The second water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at a single monitoring point; the third water quality monitoring data is the real-time monitoring data of the current water quality monitoring indicators at multiple monitoring points. The second water quality status change index is the degree of change of real-time data of at least one water quality monitoring indicator collected at a single monitoring point of the current water environment; the third water quality status change index is the comprehensive degree of change of real-time data of at least one water quality monitoring indicator collected at multiple monitoring points of the current water environment. The step of determining whether the water quality of the aquatic environment is abnormal based on the first water quality state change index includes: If the second water quality state change index is less than the first change threshold, then the first water quality state change index is determined to be normal, and the water quality state of the water environment is normal. If the second water quality state change index is greater than or equal to the first change threshold and less than or equal to the second change threshold, then a third water quality state change index is used for further determination, as follows: (1) If the third water quality state change index is less than the third change threshold, then the first water quality state change index is determined to be normal and the water quality state of the water environment is normal. (2) If the third water quality state change index is greater than or equal to the third change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal. If the second water quality state change index is greater than the second change threshold, then the first water quality state change index is determined to be abnormal, and the water quality state of the water environment is abnormal. The first change threshold and the second change threshold are both thresholds corresponding to the second water quality state change index, and the first change threshold is less than the second change threshold. The third change threshold is the threshold corresponding to the third water quality state change index; The second water quality status change index is the rate of change of water quality monitoring indicators at the monitoring points, as detailed below: in, The rate of change of water quality monitoring indicators at a specific monitoring point; This water quality monitoring indicator ranks first in the river water environment. The first monitoring value at each monitoring point; This water quality monitoring indicator ranks first in the river water environment. The second monitoring value at each monitoring point; The third water quality status change index is the degree of anomaly of the water quality monitoring indicators, as detailed below: in, The degree of abnormality of a certain water quality monitoring indicator; This represents the total number of monitoring points for this water quality monitoring indicator in the river water environment; This refers to the average of all first-order variations of the water quality monitoring indicator in its first data set; This refers to the maximum value among all the first variations of the water quality monitoring indicator in its first data set; The first monitoring value is the previous monitoring value of the water quality monitoring indicator in a certain monitoring cycle; the second monitoring value is the last monitoring value of the water quality monitoring indicator in the same monitoring cycle; the time interval between the first monitoring value and the second monitoring value is one monitoring cycle; The first data is the monitoring data under normal conditions from the historical monitoring data of this water quality monitoring indicator; the first change range is the absolute value of the percentage increase or decrease of the second monitoring value compared with the first monitoring value within a monitoring cycle; The above parameters are all data from the same water quality monitoring indicator in the same aquatic environment.

2. The multi-scale integrated processing method based on big data from water quality monitoring according to claim 1, characterized in that, If the water quality of the aforementioned aquatic environment becomes abnormal, an early warning will be issued, followed by: From the water environment status database, historical data of abnormal water quality status that are highly correlated with abnormal water quality conditions in the water environment are selected. The historical data of the filtered abnormal water quality status are sorted by correlation. When issuing an early warning, the causes, mechanisms, and prevention and control measures for water quality anomalies, ranked from high to low correlation, are output along with the early warning information. The water environment status database is a database composed of various historical data related to the water quality status of the water environment. The historical data on abnormal water quality states includes, but is not limited to: water quality monitoring indicators and their data related to the abnormal water quality states, the causes of the water quality abnormalities, the mechanisms of occurrence, and prevention and control measures.

3. The multi-scale integrated processing method based on big data from water quality monitoring according to claim 2, characterized in that, The process of filtering historical data on abnormal water quality states that are highly correlated with abnormal water quality conditions from the water environment status database includes: From the current abnormal water quality situation in the water environment, extract the abnormal water quality monitoring indicators and their related data as water quality monitoring indicator data to be correlated; Based on the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states in the water environment status database, the first degree of correlation is determined. Based on the first degree of correlation, at least one set of historical data on abnormal water quality states that has a high degree of correlation with the water quality monitoring index data to be correlated is selected. The first correlation degree is the correlation degree between the water quality monitoring indicator data to be correlated and the historical data of each group of abnormal water quality status in the water environment status database.

4. The multi-scale integrated processing method based on big data from water quality monitoring according to claim 3, characterized in that, The first degree of correlation is as follows: in, The first data in the database of water quality monitoring indicators to be correlated with the water environment status database. The correlation degree of historical data on abnormal water quality status; It is the first associated parameter, and ; It is the second associated parameter, and ; The first in the water environment status database The cross-sectional width of the river corresponding to the historical data of abnormal water quality conditions; The first in the water environment status database The cross-sectional depth of the river corresponding to the historical data of abnormal water quality conditions; The cross-sectional width of the river corresponding to the water quality monitoring index data to be associated; The cross-sectional depth of the river corresponding to the water quality monitoring index data to be correlated; The monitoring period for the water quality monitoring indicators to be correlated; The first in the water environment status database The monitoring cycle for historical data on abnormal water quality conditions; The first in the water environment status database The first monitoring value of the historical data on abnormal water quality conditions; The first in the water environment status database The second monitoring value of the historical data on abnormal water quality conditions; It means that the conditions are met. The maximum value among all the data in the expression; in, These are parameters for water environment sections, representing the correlation between the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states on the water environment section. These are water environment water quality parameters, characterizing the correlation between the water quality monitoring index data to be correlated and the historical data of each group of abnormal water quality states on the changes in water environment water quality state; The weights of the parameters of the water environment section; The weights of water environment and water quality parameters, and .

5. A multi-scale integrated processing system based on big data from water quality monitoring, characterized in that, The system is used to perform the method as described in claim 1, the system comprising: The water quality status acquisition module is used to acquire the first water quality monitoring data of the aquatic environment; The water quality index calculation module is used to determine the first water quality state change index based on the first water quality monitoring data. The water quality anomaly judgment module is used to determine whether the water quality of the water environment is abnormal based on the first water quality state change index. The water quality anomaly early warning module is used to issue an early warning when the water quality of the water environment becomes abnormal; The first water quality monitoring data consists of relevant data on various water quality monitoring indicators that characterize the current water environment water quality status; The first water quality status change index is an indicator that reflects the changes and extent of changes in the current water quality status of the water environment.

6. A computer device comprising a memory and a processor; the memory being configured to store a computer program; the processor being configured to, when executing the computer program, implement the method as described in any one of claims 1-4.

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