CN118214764B - Intelligent water conservancy and water affair operation management system based on cloud edge integration - Google Patents
Intelligent water conservancy and water affair operation management system based on cloud edge integration Download PDFInfo
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Abstract
The invention relates to the technical field of water conservancy and water affair operation management. The invention relates to an intelligent water conservancy operation management system based on cloud-edge integration. The system comprises a center establishing unit, an edge area dividing unit, a sensor association unit, a model detecting unit and a model correcting unit; the center building unit is used for building a data management center and is connected with a water conservancy sensor of a water conservancy water management area; through splitting the water conservancy and water management area into a plurality of edge areas and setting partition nodes, a cloud-edge integrated framework is formed, and collaborative processing and flowing of data between a cloud end and the partition nodes can be realized, so that the water conservancy data can be processed and stored in a distributed mode on different computing nodes, the response speed of the system is improved, the network load is reduced, meanwhile, the abnormal conditions of the edge areas are timely found through real-time data monitoring and analysis, and potential emergency conditions are accurately predicted, so that the recognition and prediction accuracy of possible events are improved.
Description
Technical Field
The invention relates to the technical field of water conservancy and water service operation management, in particular to an intelligent water conservancy and water service operation management system based on cloud-edge integration.
Background
With the improvement of living standard of people, the requirements of residents on water resource quality are increased increasingly, and with the development of urbanization and industrialization, the water pollution problem becomes an important social problem, and the water body function is reduced sharply under the condition of invading river beaches in the process of the urbanization, so that the water resource is required to be managed and controlled reasonably by using a water utilization service operation management system in the process of the urbanization;
At present, when managing water conservancy water affairs, uploading water conservancy data set to water conservancy water affair management end by each water conservancy sensor carries out unusual analysis, the demand to terminal computer processing performance and storage is great to when the water conservancy area appears unusual, can lead to the fact undulant to water conservancy sensor network, the unstable condition appears in the transmission data, data transmission delays to water conservancy water affair management end, causes to detect data interoperability inadequately, results in the timeliness and the troubleshooting dynamics of judging when water conservancy water affair appears in problem are little, in order to reduce this kind of condition, proposes an intelligent water conservancy water affair operation management system based on cloud limit is integrative.
Disclosure of Invention
The invention aims to provide an intelligent water conservancy and water service operation management system based on cloud-edge integration, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the intelligent water conservancy and water service operation management system based on cloud edge integration comprises a center building unit, an edge area dividing unit, a sensor association unit, a model detection unit and a model correction unit;
the center building unit is used for building a data management center and is connected with a water conservancy sensor of a water conservancy water management area;
The edge area segmentation unit is used for acquiring a control range of the water conservancy control equipment, carrying out segmentation analysis on the water conservancy water management area according to the control range, segmenting the water conservancy water management area into a plurality of edge areas according to an analysis result, selecting one water conservancy sensor in each edge area, and carrying out data transmission with the data management center as a partition node;
The sensor association unit is used for carrying out association analysis on each water conservancy sensor and each edge area according to water conservancy data, carrying out corresponding area attribution on each water conservancy sensor according to association analysis results, and sending water conservancy data acquired by the attribution water conservancy sensors to the partition nodes;
the model detection unit is used for establishing an abnormality detection model in the partition nodes according to the characteristics of the received water conservancy data, carrying out abnormality detection on the received water conservancy data by using the abnormality detection model, and sending an abnormality signal to the data management center by using the partition nodes when abnormality occurs;
The model correction unit is used for receiving the abnormal signals, combining the abnormal edge nodes with all the edge nodes at the data management center to carry out false alarm correction detection, and when the monitoring result shows that the abnormal edge nodes are false alarms, the data management center gathers water conservancy data to carry out model correction on the abnormal detection model of the partition nodes.
As a further improvement of the technical scheme, the center establishing unit establishes a data management center at the water conservancy water service operation management end through the DBMS, and establishes data connection between the data management center and the water conservancy sensors in the water conservancy water service jurisdiction area by utilizing a wireless network protocol, so that the water conservancy data collected by the water conservancy sensors can be retrieved.
As a further improvement of the technical scheme, the edge region segmentation unit comprises a region segmentation module and a data transmission module;
The area segmentation module is used for extracting the control range of each water conservancy control device in the data management center, extracting the water conservancy water management area through the data management center, extracting the water conservancy water management end, carrying out segmentation analysis on the water conservancy water management area in combination with the control range of the water conservancy control device, and segmenting the water conservancy water management area by taking the control range of each water conservancy control device as an edge area;
The data transmission module is used for acquiring the monitoring range of each water conservancy sensor, screening the water conservancy sensors according to the monitoring range and combining with the edge area, acquiring a water conservancy sensor list of which the monitoring area comprises the edge area, screening the water conservancy sensor with the highest running performance from the water conservancy sensor list, and carrying out data transmission by taking the water conservancy sensor with the highest running performance as a partition node and a data management center.
When the water conservancy sensor is screened as the partition node, the data transmission module takes higher priority in the coverage edge area of the monitoring area when the running performance is the same.
As a further improvement of the technical scheme, the sensor association unit comprises an association attribution module and an attribution establishment module;
The association attribution module is used for carrying out association analysis on each water conservancy sensor and each edge area according to water conservancy data acquired by the data management center, and analyzing and acquiring association coefficients of each water conservancy sensor and each edge area;
The attribution establishing module is used for attributing each water conservancy sensor in the edge area with the highest association coefficient according to the association coefficient acquired by the association attribution module, establishing data transmission between the attribution water conservancy sensor and the partition node, and transmitting the acquired water conservancy data to the water conservancy node.
As a further improvement of the technical scheme, the sensor association unit sends the water conservancy data to the partition nodes under the normal working state, the partition nodes are integrated and sent to the data management center, and the water conservancy sensor does not directly send the water conservancy data to the data management center;
meanwhile, when the water conservancy sensor is associated with two or more edge areas, and the highest association coefficients are equal, the water conservancy sensor belongs to the plurality of edge areas, and water conservancy data are simultaneously sent to partition nodes of the plurality of edge areas.
As a further improvement of the technical scheme, the model detection unit comprises an abnormality detection module and a detection analysis module;
The abnormality detection module is used for carrying out characteristic analysis in the partition nodes according to the received water conservancy data, then establishing an abnormality detection model according to the characteristic analysis result, and carrying out abnormality detection on the received water conservancy data by utilizing the abnormality detection model;
the detection analysis module is used for monitoring an abnormal detection result of the abnormal detection module, and when the abnormal detection result is abnormal, the partition nodes are used for sending abnormal signals to the data management center, otherwise, when the abnormal detection result is not abnormal, the continuous monitoring is kept.
As a further improvement of the technical scheme, the model correction unit comprises a correction detection module and an adjustment control module;
The correction detection module is used for receiving the abnormal signals sent by the detection analysis module at the data management center, then combining the abnormal edge nodes with all the edge nodes to carry out false alarm correction detection, and when the monitoring result shows that the abnormal edge nodes are false alarms, the data management center gathers water conservancy data to carry out model correction on the abnormal detection model of the partition nodes;
And the adjustment control module is used for carrying out control scheme analysis on the abnormal partition nodes in combination with the water conservancy control equipment when the monitoring result shows that the abnormal edge nodes are real reports, sending the control scheme obtained by analysis to the water conservancy control equipment, and carrying out water conservancy control on the edge areas by the water conservancy control equipment.
Compared with the prior art, the invention has the beneficial effects that:
In this wisdom water conservancy water affair operation management system based on cloud limit is integrative, through splitting into a plurality of marginal areas with water conservancy water affair jurisdiction district to set up the subregion node, form the integrative framework of cloud limit, can realize the collaborative processing and the flow of data between high in the clouds and subregion node, make water conservancy data can carry out distributed processing and storage on different computational nodes, thereby improve the response speed of system, reduce the network load, simultaneously in time discover the abnormal condition of marginal area through real-time data monitoring and analysis, and the potential emergent condition of accurate prediction, thereby improved the discernment and the prediction accuracy to probably taking place the incident.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the present invention.
The meaning of each reference sign in the figure is:
10. A center establishing unit; 20. an edge region dividing unit; 30. a sensor association unit; 40. a model detection unit; 50. and a model correcting unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an objective of the present embodiment is to provide an intelligent water conservancy operation management system based on cloud-edge integration, which includes a center establishment unit 10, an edge region segmentation unit 20, a sensor association unit 30, a model detection unit 40, and a model correction unit 50;
The center establishing unit 10 is used for establishing a data management center and is connected with a water conservancy sensor of a water conservancy water management area;
The center establishing unit 10 establishes a data management center at a water conservancy and water affair operation management end through the DBMS, establishes data connection between the data management center and a water conservancy sensor of a water conservancy and water affair jurisdiction area by utilizing a wireless network protocol, and can call water conservancy data collected by the water conservancy sensor, and the working steps are as follows:
selecting an appropriate database management system DBMS: the DBMS suitable for water conservancy and water affair data management, such as MySQL, is selected, the characteristics of high real-time performance and large data volume are met, and the DBMS with high concurrency and distributed storage is supported;
establishing a database architecture: designing a database structure, including fields, indexes, constraints and the like of a data table, and acquiring water levels, flow, water quality and the like according to the data types acquired by the water conservancy sensor;
Constructing a data receiving and storing system: developing a data receiving system, establishing connection with a water conservancy sensor through a wireless network protocol, receiving data acquired by the sensor, storing the received data into a database, and adopting a distributed file system to meet the requirement of high real-time performance and data quantity;
Realize the data processing and analysis function: the data processing and analyzing module is designed to comprise functions of data cleaning, deduplication, anomaly detection, data interpolation and the like so as to ensure the quality and reliability of data, and the data analysis function provided by the DBMS is utilized to perform data statistics, space-time analysis, predictive modeling and the like so as to provide decision support for water conservancy operation management;
the border region dividing unit 20 is configured to obtain a control range of the water conservancy control device, perform division analysis on the water conservancy water management region according to the control range, divide the water conservancy water management region into a plurality of border regions according to an analysis result, and select one water conservancy sensor in each border region as a partition node for performing data transmission with the data management center;
The edge region dividing unit 20 includes a region dividing module and a data transmission module;
The area segmentation module is used for extracting the control range of each water conservancy control device in the data management center, then extracting the water conservancy water management area through the data management center, extracting the water conservancy water management end, then carrying out segmentation analysis on the water conservancy water management area in combination with the control range of the water conservancy control device, and segmenting the water conservancy water management area by taking the control range of each water conservancy control device as an edge area, wherein the working steps are as follows:
Extracting a control range of water conservancy control equipment: and extracting the geographical position information and the control range parameters of each device from the water conservancy control device database through the data management center.
Extracting water conservancy and water affair jurisdiction: the data management center acquires the geographical boundary information of the water conservancy and water management area, and acquires the geographical boundary information by using a Geographical Information System (GIS).
And (3) carrying out segmentation analysis by combining the control range of the water conservancy control equipment: the water conservancy and water management area is divided according to the control range of the water conservancy control equipment, the water conservancy and water management area is realized through space analysis and geographic information processing technology, and a buffer area taking the control range as a radius can be created for each water conservancy control equipment. Then, identifying the area of the jurisdiction intersected by or contained in each buffer as the control area of the device;
edge region segmentation formula: ；
Wherein, (x i,yi) is the position coordinate of the ith water conservancy control device, R is the radius of the control range, and for each district of the water conservancy control device i, the boundary of the district can be defined as a circular area, the center of the circle is the device position coordinate (x i,yi), and the radius is R. Then, for each point (x, y) in the water conservancy water administration jurisdiction, the distance from the point (x, y) to each water conservancy control device can be calculated to determine which control range the point belongs to, and if the distance is less than or equal to R, the point belongs to the jurisdiction of the water conservancy control device.
The data transmission module is used for acquiring the monitoring range of each water conservancy sensor, then screening the water conservancy sensors according to the monitoring range and combining with the edge area, acquiring a water conservancy sensor list of which the monitoring area comprises the edge area, then screening the water conservancy sensor with the highest running performance from the water conservancy sensor list, and taking the water conservancy sensor with the highest running performance as a partition node and a data management center for data transmission, wherein the working steps are as follows:
Acquiring the monitoring range of each water conservancy sensor: acquiring the position information and monitoring range parameters of each sensor from a water conservancy sensor database through a data management center;
Screening in combination with edge regions: for each edge area, checking whether the water conservancy sensor is located in the monitoring range of the water conservancy sensor, and if the monitoring range of a certain sensor is intersected with or contained in the edge area, adding the sensor into a sensor list of which the monitoring area contains the edge area;
Screening the water conservancy sensor with highest running performance: for a list of sensors in which the monitoring area contains an edge area, the performance of each sensor is evaluated. The evaluation indexes of the running performance can comprise data acquisition frequency, accuracy, stability and the like, and according to the evaluation result, the sensor with the highest running performance is selected as a target for data transmission between the partition node and the data management center;
And (3) data transmission: the water conservancy sensor with the highest operation performance is selected as a partition node, a data transmission network is established around the water conservancy sensor, and data transmission can be performed by utilizing a wireless network protocol; the data management center establishes data connection with the selected sensor and periodically acquires water conservancy data acquired by the data management center;
Optimizing data transmission: aiming at the possible problems of delay, packet loss and the like in the data transmission process, the method optimizes and adopts the technologies of data compression, data caching, error retransmission and the like to improve the stability and the efficiency of data transmission.
When the data transmission module screens the water conservancy sensor as the partition nodes, when the running performances are the same, the monitoring area is used for covering the higher priority of the edge area.
The sensor association unit 30 is configured to perform association analysis on each water conservancy sensor and each edge area according to water conservancy data, perform corresponding area attribution on each water conservancy sensor according to association analysis results, and send water conservancy data collected by the attributed water conservancy sensors to the partition nodes;
the sensor association unit 30 includes an association attribution module and an attribution establishment module;
The association attribution module is used for carrying out association analysis on each water conservancy sensor and each edge area according to the water conservancy data acquired through the data management center, analyzing and acquiring association coefficients of each water conservancy sensor and each edge area, and expressing the association coefficients of the water conservancy sensor and the edge area by utilizing Euclidean distance, wherein the formula is as follows:
，
Wherein, (x 1,y1) is the position coordinate of the water conservancy sensor, (x 2,y2) is the position coordinate of the edge area, d is the Euclidean distance between the two, and d is the correlation coefficient, which indicates the degree of correlation between the water conservancy sensor and the edge area, and the smaller the value of d is, the closer the distance is, the larger the correlation coefficient is, and vice versa;
Result analysis and application: according to the calculated association coefficients, the association between the water conservancy sensor and the edge area can be sequenced and analyzed to find out the sensor with high association coefficients and the edge area, and furthermore, the association information can be used for optimizing the acquisition, transmission and processing flow of water conservancy data so as to improve the efficiency and performance of the water conservancy system.
The attribution establishing module is used for attributing each water conservancy sensor in the edge area with the highest association coefficient according to the association coefficient acquired by the association attribution module, establishing data transmission between the attribution water conservancy sensor and the partition node, and transmitting the acquired water conservancy data to the water conservancy node, and the working steps are as follows:
And (3) establishing data transmission: for each determined partition node, namely the water conservancy sensor with the highest association coefficient, a data transmission connection is established, and the data transmission connection can be realized by establishing a network connection, so that the stability and the reliability of the data transmission connection are ensured, and collected water conservancy data are sent to the water conservancy partition nodes in real time.
Data transmission policy: the data transmission strategy is determined, including data transmission frequency, data compression, encryption and the like, which can be adjusted according to specific requirements and system performance to ensure the real-time performance and accuracy of data transmission so as to timely monitor and respond to changes and events of a water conservancy system.
In the normal working state, the sensor association unit 30 sends the water conservancy data to the partition nodes, and then the partition nodes are integrated and sent to the data management center, and the water conservancy sensor does not directly send the water conservancy data to the data management center;
meanwhile, when the water conservancy sensor is associated with two or more edge areas, and the highest association coefficients are equal, the water conservancy sensor belongs to the plurality of edge areas, and water conservancy data are simultaneously sent to partition nodes of the plurality of edge areas.
The model detection unit 40 is configured to establish an anomaly detection model in the partition node according to characteristics of the received water conservancy data, perform anomaly detection on the received water conservancy data by using the anomaly detection model, and send an anomaly signal to the data management center by using the partition node when an anomaly occurs;
The model detection unit 40 includes an abnormality detection module and a detection analysis module;
The abnormality detection module is used for carrying out characteristic analysis in the partition nodes according to the received water conservancy data, then establishing an abnormality detection model according to characteristic analysis results, and carrying out abnormality detection on the received water conservancy data by utilizing the abnormality detection model, and the working steps are as follows:
Statistical characteristic analysis: calculating statistical characteristics of water conservancy data, including mean, variance, skewness, kurtosis and the like;
Time series analysis: analyzing time-related characteristics of water conservancy data, such as trend, periodicity and the like;
Anomaly detection based on statistical methods: performing Z-score anomaly detection by using the mean value and the standard deviation, and performing anomaly value detection by using a box line graph;
The machine learning method comprises the following steps: establishing a regression model or a classification model, and judging whether the data is abnormal or not by using the characteristics of the water-based data as input;
Abnormality detection: performing anomaly detection on the received water conservancy data according to the established anomaly detection model; if the data point is determined to be abnormal, an alarm is triggered or other corresponding action is taken, as follows:
z-score anomaly detection: ，
Where x is the value of the data point, μ is the mean of the data, σ is the standard deviation of the data, if the Z-score of a data point is positive, it means that the data point is above the average level of the data set, if the Z-score is negative, it means that the data point is below the average level of the data set, if the absolute value of the Z-score is large, it means that the data point is highly outlier relative to the entire data set, the data point where the Z-score exceeds a certain threshold 2 is considered outlier, because the Z-score of most data points is between-2 and +2, and data points outside this range may be outliers.
Detecting box line diagram abnormality:
calculating the quartile ranges of the quartiles Q1, Q2, Q3 and IQR;
calculating upper and lower limits using IQR:
Lower limit: q1-1.5 xIQR;
Upper limit: q3+1.5xiqr;
data points that exceed the upper and lower limits are considered outliers.
The detection analysis module is used for monitoring an abnormal detection result of the abnormal detection module, and when the abnormal detection result is abnormal, the partition nodes are used for sending abnormal signals to the data management center, otherwise, when the abnormal detection result is not abnormal, the continuous monitoring is kept;
The model correction unit 50 is configured to receive the abnormal signal, perform false alarm correction detection on the edge node with the abnormality in the data management center in combination with all the edge nodes, and collect the water conservancy data to perform model correction on the abnormality detection model of the partition node when the monitoring result shows that the edge node with the abnormality is false alarm;
the model rectification unit 50 includes a rectification detection module and an adjustment control module;
The correction detection module is used for receiving the abnormal signals sent by the detection analysis module at the data management center, then combining the abnormal edge nodes with all the edge nodes to carry out false alarm correction detection, and when the monitoring result shows that the abnormal edge nodes are false alarms, the data management center gathers water conservancy data to carry out model correction on the abnormal detection model of the partition nodes, and the working steps are as follows:
Receiving an anomaly signal: the data management center receives the abnormal signal sent by the detection and analysis module and identifies the edge node with the abnormality;
False alarm correction detection: using various statistical methods and machine learning algorithms, such as a classification algorithm based on feature selection, for judging whether the abnormality is a true abnormality or false alarm, establishing a classifier model, using feature data of each edge node as input, labeling the feature data as the true abnormality or false alarm, and then classifying and judging the abnormal nodes;
Model correction: the model correction is carried out by updating the parameters of the abnormal detection model or retraining the model, if a certain node is found to frequently generate false alarm, the threshold value or the parameters of the abnormal detection model of the node can be adjusted to reduce the false alarm rate, and after the abnormal detection model is updated, the water conservancy data is continuously monitored.
The adjustment control module is used for analyzing the control scheme of the abnormal partition nodes combined with the water conservancy control equipment when the monitoring result shows that the abnormal edge nodes are real messages, and sending the control scheme obtained by analysis to the water conservancy control equipment, and the water conservancy control equipment performs water conservancy water service control on the edge area, and the working steps are as follows:
Confirming abnormality: when the monitoring result confirms that the abnormal edge node is a real report, the data management center starts to process the abnormality;
Control scheme analysis: the data management center combines the information of the abnormal partition nodes and the water conservancy control equipment to analyze and generate a control scheme, and the control scheme is used for adjusting control parameters such as water level, flow, pump station running state and the like according to abnormal conditions so as to cope with the abnormal conditions;
Control scheme transmission and execution: the data management center sends the generated control scheme to the water conservancy control equipment, and after the water conservancy control equipment receives the control scheme, the corresponding control strategy is executed to control water conservancy water affairs of the abnormal edge area.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. Intelligent water conservancy water service operation management system based on cloud edge integration, which is characterized in that: comprises a center establishing unit (10), an edge area dividing unit (20), a sensor associating unit (30), a model detecting unit (40) and a model correcting unit (50);
The center building unit (10) is used for building a data management center and is connected with a water conservancy sensor of a water conservancy water management area;
The edge area segmentation unit (20) is used for acquiring a control range of the water conservancy control equipment, carrying out segmentation analysis on the water conservancy water management area according to the control range, segmenting the water conservancy water management area into a plurality of edge areas according to an analysis result, and selecting one water conservancy sensor in each edge area as a partition node for carrying out data transmission with the data management center;
The edge region segmentation unit (20) comprises a region segmentation module and a data transmission module;
The area segmentation module is used for extracting the control range of each water conservancy control device in the data management center, extracting the water conservancy water management area through the data management center, extracting the water conservancy water management end, carrying out segmentation analysis on the water conservancy water management area in combination with the control range of the water conservancy control device, and segmenting the water conservancy water management area by taking the control range of each water conservancy control device as an edge area;
The data transmission module is used for acquiring a monitoring range of each water conservancy sensor, screening the water conservancy sensors according to the monitoring range and combining with the edge area, acquiring a water conservancy sensor list of the monitoring area including the edge area, screening the water conservancy sensor with the highest running performance from the water conservancy sensor list, and carrying out data transmission by taking the water conservancy sensor with the highest running performance as a partition node and a data management center;
when the data transmission module screens the water conservancy sensor as partition nodes, when the running performance is the same, the priority that the coverage edge area of the monitoring area occupies a higher proportion is given;
The sensor association unit (30) is used for carrying out association analysis on each water conservancy sensor and each edge area according to water conservancy data, carrying out corresponding area attribution on each water conservancy sensor according to association analysis results, and sending water conservancy data acquired by the attribution water conservancy sensors to the partition nodes;
The sensor association unit (30) comprises an association attribution module and an attribution establishment module;
The association attribution module is used for carrying out association analysis on each water conservancy sensor and each edge area according to water conservancy data acquired by the data management center, and analyzing and acquiring association coefficients of each water conservancy sensor and each edge area;
The attribution establishing module is used for attributing each water conservancy sensor in the edge area with the highest association coefficient according to the association coefficient acquired by the association attribution module, establishing data transmission between the attribution water conservancy sensor and the partition node, and transmitting the acquired water conservancy data to the water conservancy node;
the model detection unit (40) is used for establishing an abnormality detection model in the partition nodes according to the characteristics of the received water conservancy data, carrying out abnormality detection on the received water conservancy data by using the abnormality detection model, and sending an abnormality signal to the data management center by using the partition nodes when abnormality occurs;
the model correction unit (50) is used for receiving the abnormal signals, carrying out false alarm correction detection on the edge nodes with the abnormality in combination with all the edge nodes in the data management center, and carrying out model correction on the abnormality detection model of the partition node by the data management center after the monitoring result shows that the edge nodes with the abnormality are false alarms;
the model correction unit (50) comprises a correction detection module and an adjustment control module;
The correction detection module is used for receiving the abnormal signals sent by the detection analysis module at the data management center, then combining the abnormal edge nodes with all the edge nodes to carry out false alarm correction detection, and when the monitoring result shows that the abnormal edge nodes are false alarms, the data management center gathers water conservancy data to carry out model correction on the abnormal detection model of the partition nodes;
And the adjustment control module is used for carrying out control scheme analysis on the abnormal partition nodes in combination with the water conservancy control equipment when the monitoring result shows that the abnormal edge nodes are real reports, sending the control scheme obtained by analysis to the water conservancy control equipment, and carrying out water conservancy control on the edge areas by the water conservancy control equipment.
2. The cloud-edge integrated intelligent water conservancy water service operation management system as claimed in claim 1, wherein: the center establishing unit (10) establishes a data management center at the water conservancy and water service operation management end through the DBMS, and establishes data connection between the data management center and the water conservancy sensors in the water conservancy and water service jurisdiction area by utilizing a wireless network protocol, so that the water conservancy data collected by the water conservancy sensors can be retrieved.
3. The cloud-edge integrated intelligent water conservancy water service operation management system as claimed in claim 1, wherein: the sensor association unit (30) is used for transmitting the water conservancy data to the water conservancy sensors serving as the partition nodes in a normal working state, and then the water conservancy sensors of the partition nodes are integrated and transmitted to the data management center, the other water conservancy sensors do not directly transmit the water conservancy data to the data management center, and the other water conservancy sensors comprise all the other water conservancy sensors except the water conservancy sensors serving as the partition nodes;
meanwhile, when the water conservancy sensor is associated with two or more edge areas, and the highest association coefficients are equal, the water conservancy sensor belongs to the plurality of edge areas, and water conservancy data are simultaneously sent to partition nodes of the plurality of edge areas.
4. The cloud-edge integrated intelligent water conservancy water service operation management system as claimed in claim 1, wherein: the model detection unit (40) comprises an abnormality detection module and a detection analysis module;
The abnormality detection module is used for carrying out characteristic analysis in the partition nodes according to the received water conservancy data, then establishing an abnormality detection model according to the characteristic analysis result, and carrying out abnormality detection on the received water conservancy data by utilizing the abnormality detection model;
the detection analysis module is used for monitoring an abnormal detection result of the abnormal detection module, and when the abnormal detection result is abnormal, the partition nodes are used for sending abnormal signals to the data management center, otherwise, when the abnormal detection result is not abnormal, the continuous monitoring is kept.
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