Flood monitoring and early warning method and system based on site cluster analysis

Abstract

This invention discloses a flood monitoring and early warning method and system based on site cluster analysis, relating to the field of flood monitoring and early warning technology. It addresses the technical problem of unreasonable traditional site layout in existing technologies. Specifically, through the collaborative operation and refined monitoring and analysis of various units, it achieves full-process control of flood monitoring from site layout, data acquisition, environmental adaptation, energy consumption optimization to risk early warning. This not only improves the accuracy, stability, and efficiency of data acquisition but also enables rapid identification of flood risks and timely early warning, providing comprehensive, efficient, and reliable technical support for flood disaster prevention and control. It effectively enhances the overall level of flood monitoring and early warning, ensuring the safety of the monitored area.

Description

Technical Field

[0001] This invention relates to the field of flood monitoring and early warning technology, specifically to a flood monitoring and early warning method and system based on site cluster analysis. Background Technology

[0002] In the early days of flood monitoring, manual inspections and recording of water level and flow data were the primary means of communication. Equipment was imported, with a domestic production rate of less than 15%. The monitoring scope was limited, data update cycles were long, and the system relied entirely on manpower, making it unable to respond to sudden flood events. With the development of remote sensing, geographic information systems, and computer technology, automatic water level gauges and rain gauges were introduced, and monitoring stations were gradually networked. However, problems such as slow response and insufficient accuracy still existed. Later, the application of technologies such as the Internet of Things, big data, and cloud computing formed an integrated architecture of "terminal-network-cloud-application," enabling remote real-time monitoring and early warning. Furthermore, the widespread application of advanced equipment such as BeiDou satellite communication and radar water level gauges has significantly improved the accuracy and timeliness of early warnings.

[0003] In the current field of flood monitoring, traditional monitoring methods mostly rely on single stations or scattered monitoring equipment for data collection. The station layout is often set based on experience, lacking a systematic analysis of the differences in the geographical environment of the monitoring area. This results in some areas having monitoring blind spots or unreasonable station density. During the data collection process, due to the lack of sorting out the correlation of data flow and dynamic monitoring of abnormal situations, problems such as data distortion and inconsistent collection cycles are prone to occur, making it difficult to achieve cross-regional data comparison. Therefore, a solution is proposed. Summary of the Invention

[0004] The purpose of this invention is to solve the problems mentioned above by proposing a flood monitoring and early warning method and system based on site cluster analysis.

[0005] The objective of this invention can be achieved through the following technical solution: a flood monitoring and early warning system based on site cluster analysis, comprising a monitoring and early warning platform, the monitoring and early warning platform being communicatively connected to: a data acquisition point analysis unit, which generates data acquisition and detection signals and real-time environmental detection signals, and sends them to the data acquisition and detection unit and the real-time environmental detection unit respectively; a data acquisition and detection unit, which performs data acquisition and detection on the current site cluster; a real-time environmental detection unit, which performs real-time environmental detection on the cluster distribution plan; a site energy consumption detection unit, which, after determining that data acquisition is stable, performs energy consumption detection on the site cluster within the flood monitoring area, and performs data acquisition and early warning based on the energy consumption detection; and a real-time flood monitoring unit, which performs flood monitoring and early warning on the flood monitoring area based on the data stream analysis of the site cluster.

[0006] Furthermore, the data acquisition and detection unit process is as follows: Based on the current flood monitoring area, the distribution of corresponding station clusters is obtained, and the distribution locations are uniformly marked as a cluster distribution plan; the distances between adjacent stations within the cluster distribution plan are obtained, and a distance set is constructed based on the distances corresponding to the distribution locations; according to the geographical environment of the flood monitoring area, the distances between adjacent stations are not unique; the collected data from each station is obtained according to the cluster distribution plan, and a data stream is constructed based on the continuity of the collection time in each area, i.e., the station cluster data stream can be one or multiple streams; and the data stream is divided into a common source data stream and branch data streams according to the location of the station cluster.

[0007] Furthermore, when the distance between corresponding stations in the same data stream is different, the deviation duration of the corresponding data generation in the same data stream is obtained; at the same time, when the distance between corresponding stations in the branch data stream is different, the data acquisition cycle delay duration in the coverage area of ​​the branch data stream is obtained; if the deviation duration of the corresponding data generation in the same data stream exceeds the deviation duration threshold, or the data acquisition cycle delay duration in the coverage area of ​​the branch data stream exceeds the delay duration threshold, then it is inferred that the data acquisition detection is abnormal, a station data abnormality signal is generated and sent to the monitoring and early warning platform; if the deviation duration of the corresponding data generation in the same data stream does not exceed the deviation duration threshold, and the data acquisition cycle delay duration in the coverage area of ​​the branch data stream does not exceed the delay duration threshold, then it is inferred that the data acquisition detection is normal, a station data normal signal is generated and sent to the monitoring and early warning platform.

[0008] Furthermore, the real-time environmental monitoring unit operates as follows: It acquires the monitoring period for the flood monitoring area from the cluster distribution plan and divides the monitoring period into several monitoring time points; it acquires the rise span of water volume at the location of the low-lying station in the cluster distribution plan within the monitoring period, and simultaneously acquires the data acquisition delay duration at the location of the peak station in the cluster distribution plan within the monitoring period; if the rise span of water volume at the location of the low-lying station in the cluster distribution plan exceeds the rise span threshold, or if the data acquisition delay duration at the location of the peak station in the cluster distribution plan exceeds the delay duration, then the corresponding station is marked as an interfering station, and the current operating time is marked as an interfering time point; if the rise span of water volume at the location of the low-lying station in the cluster distribution plan does not exceed the rise span threshold, and the data acquisition delay duration at the location of the peak station in the cluster distribution plan does not exceed the delay duration, then the corresponding station is marked as an interference-free station, and the current operating time is marked as an interference-free time point.

[0009] Furthermore, based on the current data stream's corresponding site distribution, if the proportion of interfering and non-interfering sites shows an upward trend, or if the ratio of the cumulative duration of all interfering moments to the duration of non-interfering moments does not show an upward trend, a data distortion warning signal is generated and sent to the monitoring and warning platform. After receiving the data distortion warning signal, the monitoring and warning platform performs operation and maintenance on the sites at the corresponding locations in the cluster distribution plan and traces the data collected at the interfering moments. If the proportion of interfering and non-interfering sites does not show an upward trend, and the ratio of the cumulative duration of all interfering moments to the duration of non-interfering moments does not show an upward trend, a low-interference environmental signal is generated and sent to the monitoring and warning platform.

[0010] Furthermore, the process of the site energy consumption detection unit is as follows: Based on the site type of the site cluster, the energy supply method is determined, i.e., photovoltaic energy supply or energy storage energy supply; based on the influencing factors of the energy supply method, such as sunshine duration or energy storage loss; the deviation in data acquisition frequency before and after the generation of influencing factors of the energy supply method is obtained; if the deviation in the acquisition frequency exceeds the set deviation threshold, it is inferred that the data acquisition frequency setting under the current energy supply method is inefficient, a frequency adjustment signal is generated and sent to the monitoring and early warning platform; if the deviation in the acquisition frequency does not exceed the set deviation threshold, it is inferred that the data acquisition frequency setting under the current energy supply method is efficient. The system generates a continuous frequency signal and sends it to the monitoring and early warning platform; it acquires the cumulative data volume deviation of the data stream before and after the occurrence of factors affecting the power supply mode during site data acquisition. If the cumulative data volume deviation before and after the occurrence of factors affecting the power supply mode during site data acquisition exceeds the set deviation threshold, it is inferred that the data acquisition frequency setting under the current power supply mode is abnormal, and a frequency change signal is generated and sent to the monitoring and early warning platform; if the cumulative data volume deviation before and after the occurrence of factors affecting the power supply mode during site data acquisition does not exceed the set deviation threshold, it is inferred that the data acquisition frequency setting under the current power supply mode is normal, and a frequency unchanged signal is generated and sent to the monitoring and early warning platform.

[0011] Furthermore, if the monitoring and early warning platform receives a frequency adjustment signal or a frequency change signal, it indicates that the sampling frequency or sampling period is set unreasonably, and targeted adjustments will be made.

[0012] Furthermore, the process of the real-time flood monitoring unit is as follows: obtain the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan, and simultaneously obtain the cumulative area value of water flow increase at each location within the cluster distribution plan. Then, compare the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan and the cumulative area value of water flow increase at each location within the cluster distribution plan with the height increase span threshold and the area cumulative threshold, respectively.

[0013] Furthermore, if the increase in water level height within adjacent sampling periods at the corresponding location in the cluster distribution plan exceeds the height increase threshold, or the cumulative area of ​​increased water flow at each location within the cluster distribution plan exceeds the cumulative area threshold, a flood warning signal is generated and sent to the monitoring and warning platform. The monitoring and warning platform issues a warning to the monitoring coverage area of ​​the station and implements flood protection measures in the corresponding area. If the increase in water level height within adjacent sampling periods at the corresponding location in the cluster distribution plan does not exceed the height increase threshold, and the cumulative area of ​​increased water flow at each location within the cluster distribution plan does not exceed the cumulative area threshold, a flood stabilization signal is generated and sent to the monitoring and warning platform.

[0014] This invention also proposes a flood monitoring and early warning method based on site cluster analysis, the specific monitoring and early warning method being as follows:

[0015] Step 1: Data collection and testing. Perform data collection and testing on the current site cluster.

[0016] Step 2: Real-time environment monitoring; perform real-time environment monitoring on the cluster distribution plan.

[0017] Step 3: Station energy consumption detection. After confirming stable data collection, conduct energy consumption detection on the cluster of stations within the flood monitoring area, and issue early warnings based on the energy consumption detection data.

[0018] Step 4: Real-time flood monitoring. Analyze the data streams collected by the cluster of monitoring stations to conduct flood monitoring and early warning for the flood monitoring area.

[0019] Compared with existing technologies, the beneficial effects of this invention are as follows: The data acquisition and detection unit first determines the distribution of station clusters and constructs a spacing set based on the monitoring area, fully considering the differences in the geographical environment of the flood monitoring area, making the station layout more in line with actual monitoring needs. By collecting data, a data stream is constructed and divided into common source and branch types, clearly sorting out the data sources and correlations. The deviation duration and period delay duration of the two types of data streams are monitored separately, accurately capturing abnormal situations in the data acquisition process. If the threshold is exceeded, an abnormal signal is sent in time, prompting the platform to adjust the cluster planning or upgrade the hardware, effectively ensuring the accuracy and reliability of data acquisition, and avoiding the impact of data distortion on cross-regional comparative analysis.

[0020] The real-time environmental monitoring unit divides the monitoring time points and simultaneously monitors the rise in water volume at low-peak stations and the data acquisition delay at peak stations. This allows for precise location of environmental interference at different stations at different times. By marking interfering stations, times, and analyzing the proportion and duration of interference, the environmental interference situation of cluster stations can be dynamically grasped. If interference exists, the stations can be maintained in a timely manner and the data can be traced back, significantly reducing the impact of environmental factors on the stability of data acquisition and improving the quality of monitoring data.

[0021] The site energy consumption detection unit determines the power supply method based on the site type. Taking into account factors such as sunshine duration and energy storage power loss, it evaluates the rationality of the data acquisition frequency under the power supply method from two dimensions: the deviation of the acquisition frequency reduction and the deviation of the cumulative data volume of the data stream. It generates control, continuous, change, and unchanged signals respectively, enabling the platform to adjust the acquisition frequency or cycle in a targeted manner. While ensuring data acquisition efficiency, it achieves optimized energy consumption management and avoids data acquisition interruption or inefficiency due to power supply problems.

[0022] The real-time flood monitoring unit monitors the increase in water level span and the cumulative area of ​​water flow within adjacent collection periods, and compares it with thresholds to quickly and accurately determine the risk level of the flood monitoring area. If there is an escalation of risk, an early warning signal is sent in a timely manner, prompting the platform to activate the early warning and take protective measures, which significantly improves the timeliness and effectiveness of flood warnings and buys valuable time to reduce flood disaster losses. When there is no risk, a stable signal is sent, which also provides a reliable basis for regional flood control decisions. Attached Figure Description

[0023] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0024] Figure 1 This is a system principle block diagram of the present invention;

[0025] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0028] Please see Figure 1As shown, the flood monitoring and early warning system based on site cluster analysis includes a monitoring and early warning platform. The monitoring and early warning platform is connected to a data collection point analysis unit, a site energy consumption detection unit, and a real-time flood monitoring unit. At the same time, the data collection point analysis unit is connected to a data acquisition and detection unit and a real-time environmental detection unit.

[0029] The monitoring and early warning platform generates and sends the collection point analysis signal to the collection point analysis unit. After receiving the collection point analysis signal, the collection point analysis unit analyzes the site cluster and generates data acquisition detection signal and real-time environmental detection signal, which are then sent to the data acquisition detection unit and real-time environmental detection unit respectively.

[0030] After receiving the data acquisition and detection signal, the data acquisition and detection unit performs data acquisition and detection on the current station cluster; it obtains the distribution of the corresponding station cluster according to the current flood monitoring area and marks the distribution location as the cluster distribution plan; it obtains the distance between adjacent stations within the cluster distribution plan and constructs a distance set corresponding to the distribution location; based on the geographical environment of the flood monitoring area, the distance between adjacent stations is not unique; it obtains the collected data of each station according to the cluster distribution plan, and constructs a data stream according to the continuity of the collection time in each area, that is, the station cluster data stream can be one or multiple; and it divides the data stream into a common source data stream and a branch data stream according to the location of the station cluster. It should be explained that a common source data stream means that the source or path of the data stream is in the same area, while a branch data stream corresponds to an area where the data is generated is unrelated, that is, the data streams corresponding to two converging rivers have a confluence point data.

[0031] When the distance between corresponding stations in the same data stream is different, the deviation time of the corresponding data generated in the same data stream is obtained; at the same time, when the distance between corresponding stations in the branch data stream is different, the data collection cycle delay time of the branch data stream coverage area is obtained. The data collection cycle is represented by the data collection cycle in the region. If the data stream is formed slowly, the current cycle is not completed, while the data stream is formed quickly and the data has entered the next cycle. At this time, data distortion is likely to occur when the flood monitoring area is analyzed in a unified manner, and cross-regional comparison is not possible.

[0032] If the duration of the deviation generated by the corresponding data from the same source data stream exceeds the deviation duration threshold, or if the data acquisition cycle delay in the area covered by the branch data stream exceeds the delay duration threshold, then an abnormal data acquisition detection is inferred, a site data abnormality signal is generated and sent to the monitoring and early warning platform. After receiving the site data abnormality signal, the monitoring and early warning platform resets the cluster distribution plan for the site cluster, or upgrades and adjusts the hardware facilities of the sites within the current cluster distribution plan. If the duration of the deviation generated by the corresponding data from the same source data stream does not exceed the deviation duration threshold, and the data acquisition cycle delay in the area covered by the branch data stream does not exceed the delay duration threshold, then a normal data acquisition detection is inferred, a normal site data signal is generated and sent to the monitoring and early warning platform.

[0033] After receiving the real-time environment detection signal, the real-time environment detection unit performs real-time environment detection on the cluster distribution plan. Through real-time environment detection, it obtains the collection stability of the distributed sites and avoids data deviation.

[0034] The system obtains the monitoring period for the flood monitoring area under the cluster distribution plan and divides the monitoring period into several monitoring time points. It also obtains the water volume rise span at the location of the low-lying station in the cluster distribution plan within the monitoring period, and the data acquisition delay duration at the location of the peak station in the cluster distribution plan within the monitoring period. If the water volume rise span at the location of the low-lying station in the cluster distribution plan exceeds the rise span threshold, or the data acquisition delay duration at the location of the peak station in the cluster distribution plan exceeds the delay duration, it is inferred that there is environmental interference at the station in the cluster distribution plan within the monitoring period. The corresponding station is marked as an interfering station, and the current operating time is marked as an interfering time point. If the water volume rise span at the location of the low-lying station in the cluster distribution plan within the monitoring period does not exceed the rise span threshold, and the data acquisition delay duration at the location of the peak station in the cluster distribution plan within the monitoring period does not exceed the delay duration, it is inferred that there is no environmental interference at the station in the cluster distribution plan within the monitoring period. The corresponding station is marked as an interference-free station, and the current operating time is marked as an interference-free time point.

[0035] Based on the current data stream's corresponding site distribution, if the ratio of interfering sites to non-interfering sites shows an upward trend, or if the ratio of the cumulative duration of all interfering time points to the duration of non-interfering time points does not show an upward trend, it is inferred that there is environmental interference in the site cluster in the current cluster distribution plan. A data distortion warning signal is generated and sent to the monitoring and warning platform. After receiving the data distortion warning signal, the monitoring and warning platform performs operation and maintenance on the sites at the corresponding locations in the cluster distribution plan and traces the data collected at the interfering time points.

[0036] If the ratio of interfering sites to non-interfering sites does not show an upward trend, and the ratio of the cumulative duration of all interfering time points to the duration of non-interfering time points does not show an upward trend, it is inferred that the environmental interference of the site cluster in the current cluster distribution plan is low, generating a low-interference environmental signal and sending it to the monitoring and early warning platform.

[0037] The monitoring and early warning platform generates station energy consumption detection signals and sends them to the station energy consumption detection unit. After receiving the station energy consumption detection signals, the station energy consumption detection unit performs energy consumption detection on the cluster of stations in the flood monitoring area and collects data for early warning based on the energy consumption detection.

[0038] The power supply method is determined based on the site type of the site cluster, i.e., photovoltaic power supply or energy storage power supply. Factors affecting the power supply method, such as sunshine duration or energy storage loss, are considered. The deviation in data acquisition frequency before and after the generation of these factors during site data collection is obtained. If the deviation exceeds a set deviation threshold, it is inferred that the current power supply method's data acquisition frequency setting is inefficient, and a frequency adjustment signal is generated and sent to the monitoring and early warning platform. If the deviation does not exceed the set deviation threshold, it is inferred that the current power supply method's data acquisition frequency setting is efficient, and a continuous frequency signal is generated and sent to the monitoring and early warning platform.

[0039] If the cumulative data volume deviation of the data stream before and after the occurrence of factors affecting the power supply mode during site data collection exceeds the set deviation threshold, it is inferred that the data collection frequency setting under the current power supply mode is abnormal, and a frequency change signal is generated and sent to the monitoring and early warning platform. If the cumulative data volume deviation of the data stream before and after the occurrence of factors affecting the power supply mode during site data collection does not exceed the set deviation threshold, it is inferred that the data collection frequency setting under the current power supply mode is normal, and a frequency unchanged signal is generated and sent to the monitoring and early warning platform.

[0040] If the monitoring and early warning platform receives a frequency adjustment signal or a frequency change signal, it indicates that the data acquisition frequency or period setting is unreasonable, and targeted adjustments will be made. The monitoring and early warning platform generates real-time flood monitoring signals and sends them to the real-time flood monitoring unit. After receiving the real-time flood monitoring signals, the real-time flood monitoring unit analyzes the data stream collected by the station cluster to conduct flood monitoring and early warning for the flood monitoring area.

[0041] The method obtains the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan, and also obtains the cumulative area of ​​water flow increase at each location within the cluster distribution plan. The method then compares the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan and the cumulative area of ​​water flow increase at each location within the cluster distribution plan with the height increase span threshold and the area cumulative threshold, respectively.

[0042] If the increase in water level within adjacent sampling periods at the corresponding location in the cluster distribution plan exceeds the height increase threshold, or the cumulative area of ​​increased water flow at each location within the cluster distribution plan exceeds the cumulative area threshold, it is inferred that there is a risk of escalation in the flood monitoring area. A flood warning signal is generated and sent to the monitoring and warning platform. The monitoring and warning platform issues a warning to the monitoring coverage area of ​​the station and implements flood protection measures in the corresponding area. If the increase in water level within adjacent sampling periods at the corresponding location in the cluster distribution plan does not exceed the height increase threshold, and the cumulative area of ​​increased water flow at each location within the cluster distribution plan does not exceed the cumulative area threshold, it is inferred that there is no risk of escalation in the flood monitoring area. A flood stabilization signal is generated and sent to the monitoring and warning platform.

[0043] Please see Figure 2 As shown, the flood monitoring and early warning method based on site cluster analysis is as follows:

[0044] Step 1: Data collection and testing. Perform data collection and testing on the current site cluster.

[0045] Step 2: Real-time environment monitoring; perform real-time environment monitoring on the cluster distribution plan.

[0046] Step 3: Station energy consumption detection. After confirming stable data collection, conduct energy consumption detection on the cluster of stations within the flood monitoring area, and issue early warnings based on the energy consumption detection data.

[0047] Step 4: Real-time flood monitoring. Analyze the data streams collected by the cluster of monitoring stations to conduct flood monitoring and early warning for the flood monitoring area.

[0048] Thresholds, preset values, or preset ranges are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or rational factors.

[0049] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A flood monitoring and early warning system based on site cluster analysis, characterized in that, This includes a monitoring and early warning platform, whose communication connections include: The data acquisition point analysis unit generates data acquisition detection signals and real-time environmental detection signals, and sends them to the data acquisition detection unit and the real-time environmental detection unit respectively. The data acquisition and detection unit performs data acquisition and detection on the current site cluster; the real-time environment detection unit performs real-time environment detection on the cluster distribution plan; the process of the data acquisition and detection unit is as follows: Based on the current flood monitoring area, the distribution of corresponding station clusters is obtained, and the distribution locations are uniformly marked as cluster distribution plans; the distances between adjacent stations within the cluster distribution plans are obtained, and a distance set is constructed based on the distances corresponding to the distribution locations; Depending on the geographical environment of the flood monitoring area, the distance between adjacent stations is not unique; The data collected from each site is obtained based on the cluster distribution plan, and a data stream is constructed based on the continuity of the collection time in each area. The data stream is divided into source data streams and branch data streams based on the location of the site cluster. When the distance between corresponding stations in the same data stream is different, obtain the deviation time of the corresponding data generated in the same data stream; at the same time, obtain the data collection cycle delay time of the branch data stream coverage area when the distance between corresponding stations in the branch data stream is different. If the duration of the deviation generated by the corresponding data from the same source data stream exceeds the deviation duration threshold, or if the delay duration of the data acquisition cycle in the area covered by the branch data stream exceeds the delay duration threshold, then it is inferred that the data acquisition detection is abnormal, a site data abnormality signal is generated and sent to the monitoring and early warning platform; if the duration of the deviation generated by the corresponding data from the same source data stream does not exceed the deviation duration threshold, and the delay duration of the data acquisition cycle in the area covered by the branch data stream does not exceed the delay duration threshold, then it is inferred that the data acquisition detection is normal, a site data normal signal is generated and sent to the monitoring and early warning platform. The station energy consumption detection unit, after confirming stable data acquisition, performs energy consumption detection on the cluster of stations within the flood monitoring area and issues early warnings based on the energy consumption detection data. The real-time flood monitoring unit analyzes the data stream collected by the cluster of stations to conduct flood monitoring and early warning for the flood monitoring area.

2. The flood monitoring and early warning system based on site cluster analysis according to claim 1, characterized in that, The process of the real-time environment monitoring unit is as follows: The monitoring period for the flood monitoring area is obtained by the cluster distribution plan, and the monitoring period is divided into several monitoring time points; the rise span of water volume at the location of the low point in the cluster distribution plan during the monitoring period is obtained, and the data acquisition delay time at the location of the peak point in the cluster distribution plan during the monitoring period is also obtained. If, during the monitoring period, the water level rise at a low-lying station in the cluster distribution plan exceeds the rise span threshold, or if the data acquisition delay at a high-lying station in the cluster distribution plan exceeds the delay duration, the corresponding station will be marked as an interfering station, and the current operating time will be marked as the interfering time point. If, during the monitoring period, the water level rise at a low-lying station in the cluster distribution plan does not exceed the rise span threshold, and the data acquisition delay at a high-lying station in the cluster distribution plan does not exceed the delay duration, the corresponding station will be marked as an interference-free station, and the current operating time will be marked as an interference-free time point.

3. The flood monitoring and early warning system based on site cluster analysis according to claim 2, characterized in that, Based on the current data stream's corresponding site distribution, if the ratio of the number of interfering sites to non-interfering sites shows an upward trend, or if the ratio of the cumulative duration of all interfering time points to the duration of non-interfering time points does not show an upward trend, a data distortion warning signal will be generated and sent to the monitoring and warning platform. After receiving the data distortion warning signal, the monitoring and warning platform will operate and maintain the sites at the corresponding locations in the cluster distribution plan, and trace the source of the data collected at the interfering time points. If the ratio of interfering to non-interfering sites does not show an upward trend, and the ratio of the cumulative duration of all interfering time points to the duration of non-interfering time points does not show an upward trend, then an environmental low-interference signal will be generated and sent to the monitoring and early warning platform.

4. The flood monitoring and early warning system based on site cluster analysis according to claim 1, characterized in that, The process of the site energy consumption detection unit is as follows: The power supply method is determined based on the site type of the site cluster, namely photovoltaic power supply or energy storage power supply; the influencing factors of the power supply method are determined based on the duration of sunlight or energy storage power loss; the deviation of the data acquisition frequency before and after the generation of the influencing factors of the power supply method is obtained when the site data is collected; if the deviation of the acquisition frequency exceeds the set deviation threshold, it is inferred that the data acquisition frequency setting under the current power supply method is inefficient, and a frequency adjustment signal is generated and sent to the monitoring and early warning platform; If the reduction in the acquisition frequency does not exceed the set deviation threshold, it is inferred that the data acquisition frequency setting is efficient under the current power supply mode, and a continuous frequency signal is generated and sent to the monitoring and early warning platform. If the cumulative data volume deviation of the data stream before and after the occurrence of factors affecting the power supply mode during site data collection exceeds the set deviation threshold, it is inferred that the data collection frequency setting under the current power supply mode is abnormal, and a frequency change signal is generated and sent to the monitoring and early warning platform. If the cumulative data volume deviation before and after the occurrence of factors affecting the power supply mode during site data collection does not exceed the set deviation threshold, it is inferred that the data collection frequency setting under the current power supply mode is normal, and a frequency unchanged signal is generated and sent to the monitoring and early warning platform.

5. The flood monitoring and early warning system based on site cluster analysis according to claim 4, characterized in that, If the monitoring and early warning platform receives a frequency adjustment signal or a frequency change signal, it indicates that the sampling frequency or sampling period is set inappropriately, and targeted adjustments will be made.

6. The flood monitoring and early warning system based on site cluster analysis according to claim 1, characterized in that, The process of the real-time flood monitoring unit is as follows: The method obtains the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan, and also obtains the cumulative area of ​​water flow increase at each location within the cluster distribution plan. The method then compares the span of water surface height increase within adjacent collection periods at corresponding locations within the cluster distribution plan and the cumulative area of ​​water flow increase at each location within the cluster distribution plan with the height increase span threshold and the area cumulative threshold, respectively.

7. The flood monitoring and early warning system based on site cluster analysis according to claim 6, characterized in that, If the increase in water level span between adjacent collection periods at the corresponding location within the cluster distribution plan exceeds the height increase span threshold, or if the cumulative area of ​​the location with increased water flow at each location within the cluster distribution plan exceeds the cumulative area threshold, a flood warning signal will be generated and sent to the monitoring and warning platform. The monitoring and warning platform will issue a warning to the monitoring coverage area of ​​the site and implement flood protection measures in the corresponding area. If the increase in water level within adjacent collection periods at the corresponding locations in the cluster distribution plan does not exceed the threshold for increase in water level, and the cumulative area of ​​the location where water flow increases does not exceed the cumulative area threshold, then a flood stabilization signal is generated and sent to the monitoring and early warning platform.

8. A flood monitoring and early warning method based on site cluster analysis, characterized in that, The flood monitoring and early warning system based on site cluster analysis as described in any one of claims 1-7 above.

Images