Hydrological telemetry method and system based on edge computing

Abstract

This invention relates to the field of hydrological telemetry technology and provides a hydrological telemetry method and system based on edge computing. The invention acquires hydrological telemetry data from multiple telemetry points, identifies multiple adjacent telemetry points corresponding to each point, and extracts data from these adjacent points. It then performs adjacent impact analysis to screen multiple effective telemetry points; acquires aquatic meteorological data; performs wave impact analysis on the multiple effective telemetry points; selects key telemetry points; and acquires relevant impact data. Based on edge computing technology, it performs safety calculations and telemetry early warnings for wave impacts. This allows for the screening of effective telemetry points and the selection of key telemetry points. Furthermore, based on edge computing technology, it performs direct safety calculations and telemetry early warnings for wave impacts at key telemetry points. This enables complex risk assessment of wave climb under complex weather conditions, achieving rapid and effective hydrological telemetry water level risk early warning.

Description

Technical Field

[0001] This invention belongs to the field of hydrological telemetry technology, and particularly relates to a hydrological telemetry method and system based on edge computing. Background Technology

[0002] Hydrological telemetry is a technology that uses sensor technology, communication technology, and information processing technology to collect, transmit, and process natural water bodies and related hydrological elements remotely and automatically. It can achieve real-time acquisition and dynamic monitoring of hydrological information under unattended or minimally human intervention conditions. The monitored elements include water level, flow rate, rainfall, evaporation, water temperature, and water quality parameters, and it is widely used in flood control and drought relief, water resource management, water conservancy project scheduling, and water environment monitoring.

[0003] In existing hydrological telemetry technologies, when conducting water level monitoring and risk assessment, the methods typically only rely on the data directly acquired by the telemetry system and employ threshold discrimination or simple trend analysis to analyze and judge water level risks. However, they cannot combine meteorological, wave, and other data to make complex risk judgments regarding wave rise. Furthermore, existing technologies require comprehensive analysis of data from multiple locations, making it difficult to quickly and effectively achieve water level risk early warning under complex weather conditions. Summary of the Invention

[0004] The purpose of this invention is to provide a hydrological telemetry method and system based on edge computing, which aims to solve the technical problems existing in the prior art mentioned in the background.

[0005] The embodiments of the present invention are implemented as follows: A hydrological telemetry method based on edge computing, the method specifically includes the following steps: Acquire hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data. Based on multiple adjacent telemetry data and multiple hydrological telemetry data, an adjacent influence analysis is performed on multiple hydrological telemetry points to screen multiple effective telemetry points. Acquire meteorological data for the water area, conduct wave impact analysis on multiple effective telemetry points, select key telemetry points, and acquire relevant impact data; The meteorological data of the water area and the relevant impact data are sent to the key telemetry points. Based on edge computing technology, safety calculations and telemetry early warnings of wave impacts are performed.

[0006] As a further limitation of the technical solution of this embodiment of the invention, the step of acquiring hydrological telemetry data from multiple hydrological telemetry points, determining multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extracting multiple adjacent telemetry data specifically includes the following steps: Multiple hydrological telemetry points were identified, and location data for each point was acquired. According to the preset adjacent range data, the adjacent analysis of the location data of multiple points is performed, and multiple adjacent telemetry points corresponding to each hydrological telemetry point are selected. According to the preset hydrological telemetry cycle, hydrological telemetry commands are periodically generated and sent to multiple hydrological telemetry points. Acquire hydrological telemetry data from multiple hydrological telemetry points; From the multiple hydrological telemetry data, extract multiple adjacent telemetry data corresponding to each hydrological telemetry point.

[0007] As a further limitation of the technical solution of this invention, the step of performing adjacent influence analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple hydrological telemetry data, and screening multiple effective telemetry points specifically includes the following steps: Based on the location data of multiple points, the adjacent distances of multiple hydrological telemetry points are recorded to obtain multiple adjacent distance data. Based on multiple adjacent telemetry data and multiple adjacent distance data, an adjacent impact analysis is performed on multiple hydrological telemetry points to calculate multiple adjacent impact intervals. According to the multiple adjacent influence intervals, the multiple hydrological telemetry data are compared accordingly to obtain multiple interval comparison results; Based on the comparison results of multiple intervals, multiple valid telemetry points are selected from the multiple hydrological telemetry points.

[0008] As a further limitation of the technical solution of this embodiment of the invention, the calculation formula for the plurality of adjacent influence intervals is as follows: ; Among them, [A] jmin， A jmax [A] forms an adjacent influence interval, where j represents the j-th hydrological telemetry type; ij d represents the value of the j-th hydrological telemetry type for the i-th adjacent telemetry point; i A is the distance between adjacent telemetry points of the i-th neighbor; o The preset interval standard value.

[0009] As a further limitation of the technical solution of this invention embodiment, the steps of acquiring aquatic meteorological data, performing wave impact analysis on multiple effective telemetry points, selecting key telemetry points, and acquiring relevant impact data specifically include the following steps: Acquire meteorological data for water areas; Determine the wind direction in the water area based on the meteorological data of the water area; Extract valid location data of multiple valid telemetry points from the multiple location data of the points; Based on the wind direction in the water area and multiple valid location data, wave impact analysis is performed on multiple valid telemetry points to select key telemetry points; Obtain relevant impact data for the key telemetry points.

[0010] As a further limitation of the technical solution of this invention, the step of sending the aquatic meteorological data and the relevant impact data to the key telemetry points, and performing safety calculations and telemetry early warnings of wave impacts based on edge computing technology, specifically includes the following steps: The water meteorological data and the relevant impact data are sent to the key telemetry points; Real-time telemetry water depth was obtained at the key telemetry points. Based on edge computing technology, a comprehensive analysis of wave impact is performed on the meteorological data of the water area, the relevant impact data, and the real-time telemetry water depth to calculate the comprehensive impact height; The overall impact height is compared with the preset safety height to determine whether there is a danger of wind and waves in the water. Direct remote sensing early warning will be conducted when there is a risk of wind and waves in the water.

[0011] As a further limitation of the technical solution of this embodiment of the invention, the calculation formula for the height affected by climbing is as follows: ; Where h' is the height affected by the climb; λ is the preset calculation coefficient; H is the wave height; V is the wind speed in the water area; g is the gravitational acceleration; and h is the real-time telemetry water depth.

[0012] A hydrological telemetry system based on edge computing, the system comprising a telemetry point analysis module, a neighboring influence analysis module, a wave influence analysis module, and a telemetry early warning processing module, wherein: The telemetry point analysis module is used to acquire hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data. The neighboring impact analysis module is used to perform neighboring impact analysis on multiple hydrological telemetry points based on multiple neighboring telemetry data and multiple hydrological telemetry data, and to screen multiple valid telemetry points; The wave impact analysis module is used to acquire water meteorological data, perform wave impact analysis on multiple effective telemetry points, select key telemetry points, and acquire relevant impact data. The telemetry and early warning processing module is used to send the water meteorological data and the relevant impact data to the key telemetry points, and to perform safety calculations and telemetry early warnings of wave impacts based on edge computing technology.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the telemetry point analysis module specifically includes: The location data acquisition unit is used to determine multiple hydrological telemetry points and acquire location data for those points. The adjacent analysis unit is used to perform adjacent analysis on the location data of multiple points according to the preset adjacent range data, and select multiple adjacent telemetry points corresponding to each hydrological telemetry point. The instruction sending unit is used to periodically generate and send hydrological telemetry instructions to multiple hydrological telemetry points according to a preset hydrological telemetry cycle. The telemetry data acquisition unit is used to acquire hydrological telemetry data from multiple hydrological telemetry points. The adjacent data extraction unit is used to extract multiple adjacent telemetry data corresponding to each hydrological telemetry point from the multiple hydrological telemetry data.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the adjacent influence analysis module specifically includes: The adjacent distance recording unit is used to record the adjacent distances of multiple hydrological telemetry points based on the location data of multiple points, and to obtain multiple adjacent distance data. The spatial interpolation analysis unit is used to perform adjacent influence analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple adjacent distance data, and to calculate multiple adjacent influence intervals. The data comparison unit is used to compare the multiple hydrological telemetry data according to the multiple adjacent influence intervals, and obtain multiple interval comparison results; The point selection unit is used to select multiple valid telemetry points from multiple hydrological telemetry points based on the comparison results of multiple intervals.

[0015] Compared with the prior art, the beneficial effects of the present invention are: (1) This invention screens effective telemetry points and selects key telemetry points, and based on edge computing technology, performs direct wave impact safety calculation and telemetry early warning at key telemetry points, thereby enabling complex risk judgment of wave climbing under complex weather conditions and achieving rapid and effective hydrological telemetry water level risk early warning. (2) By selecting multiple adjacent telemetry points corresponding to each hydrological telemetry point, and calculating the adjacent influence intervals corresponding to multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple adjacent distance data, and then comparing multiple hydrological telemetry data accordingly, the present invention can automatically identify abnormal telemetry points, screen multiple valid telemetry points, and ensure the accuracy of subsequent processing. Attached Figure Description

[0016] Figure 1 A flowchart of the hydrological telemetry method based on edge computing provided in an embodiment of the present invention is shown; Figure 2 This invention provides a flowchart illustrating the method for determining multiple adjacent telemetry points corresponding to each hydrological telemetry point. Figure 3 This diagram illustrates a flowchart of the method for selecting multiple valid telemetry points provided in an embodiment of the present invention; Figure 4 A flowchart of wave impact analysis in the method provided in the embodiment of the present invention is shown; Figure 5 The flowchart illustrating the safety calculation and telemetry early warning of wave impacts provided in the embodiments of the present invention is shown. Figure 6 This diagram illustrates the application architecture of the hydrological telemetry system based on edge computing provided in an embodiment of the present invention. Figure 7 This diagram illustrates the structure of the telemetry point analysis module in the system provided by an embodiment of the present invention. Figure 8 The diagram shows the structure of the adjacent influence analysis module in the system provided by an embodiment of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0018] Understandably, existing hydrological telemetry technologies, when used for water level monitoring and risk assessment, typically rely solely on data directly acquired through telemetry, employing threshold discrimination or simple trend analysis methods to analyze and judge water level risks. They cannot combine meteorological, wave, and other data to make complex risk assessments of wave rise. Furthermore, existing technologies require comprehensive analysis of data from multiple locations, making it difficult to quickly and effectively achieve water level risk early warnings under complex weather conditions.

[0019] To address the aforementioned issues, this invention discloses a hydrological telemetry method and system based on edge computing. This method acquires hydrological telemetry data from multiple telemetry points, identifies multiple adjacent telemetry points corresponding to each point, and extracts data from these adjacent points. Based on this data, an adjacency impact analysis is performed on the multiple hydrological telemetry points to select multiple effective telemetry points. Meteorological data is acquired for the water area, and wave impact analysis is performed on the multiple effective telemetry points to select key telemetry points and acquire relevant impact data. The meteorological data and relevant impact data are then sent to the key telemetry points. Based on edge computing technology, safety calculations and telemetry early warnings regarding wave impacts are performed. This method enables the selection of effective telemetry points and key telemetry points, and, based on edge computing technology, direct safety calculations and telemetry early warnings regarding wave impacts are performed at the key telemetry points. This allows for complex risk assessment of wave climb under complex weather conditions, achieving rapid and effective hydrological telemetry water level risk early warning.

[0020] Specifically, Figure 1 A flowchart of the hydrological telemetry method based on edge computing provided in an embodiment of the present invention is shown.

[0021] In a preferred embodiment of the present invention, a hydrological telemetry method based on edge computing specifically includes the following steps: Step S101: Obtain hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data.

[0022] In this embodiment of the invention, multiple hydrological telemetry points in the water area are determined, and the location data of the points corresponding to the multiple hydrological telemetry points are obtained. Then, based on the multiple location data, with each location data as the center and a preset adjacent range data as the radius, an adjacent region of each hydrological telemetry point is constructed. Multiple other hydrological telemetry points belonging to the adjacent region are determined as multiple adjacent telemetry points, thereby realizing the automatic selection of multiple adjacent telemetry points corresponding to each hydrological telemetry point. At the same time, according to the preset hydrological telemetry cycle, hydrological telemetry commands are periodically generated and sent to multiple hydrological telemetry points, thereby obtaining the hydrological telemetry data transmitted back after the multiple hydrological telemetry points perform hydrological telemetry, and extracting the adjacent telemetry data of multiple adjacent telemetry points corresponding to each hydrological telemetry point from the multiple hydrological telemetry data.

[0023] It is understandable that the location data is the planar coordinates of the corresponding hydrological telemetry point; the adjacent range data is the length value, such as 100m.

[0024] It is understood that in the embodiments of the present invention, adjacent telemetry points are essentially hydrological telemetry points; adjacent telemetry data are essentially hydrological telemetry data; adjacent telemetry points and adjacent telemetry data are all specially marked and distinguished according to their adjacent relationship.

[0025] Specifically, Figure 2 The flowchart shown is a process for determining multiple adjacent telemetry points corresponding to each hydrological telemetry point in the method provided in the embodiment of the present invention.

[0026] In another preferred embodiment of the present invention, the steps of acquiring hydrological telemetry data from multiple hydrological telemetry points, determining multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extracting multiple adjacent telemetry data specifically include the following steps: Step S1011: Determine multiple hydrological telemetry points and acquire location data for each point; Step S1012: According to the preset adjacent range data, perform adjacent analysis on the location data of multiple points, and select multiple adjacent telemetry points corresponding to each hydrological telemetry point. Step S1013: According to the preset hydrological telemetry cycle, periodically generate and send hydrological telemetry commands to multiple hydrological telemetry points; Step S1014: Obtain hydrological telemetry data from multiple hydrological telemetry points; Step S1015: Extract multiple adjacent telemetry data corresponding to each hydrological telemetry point from the multiple hydrological telemetry data.

[0027] Furthermore, the hydrological telemetry method based on edge computing also includes the following steps: Step S102: Based on multiple adjacent telemetry data and multiple hydrological telemetry data, perform adjacent influence analysis on multiple hydrological telemetry points and screen multiple valid telemetry points.

[0028] In this embodiment of the invention, based on multiple location data points, adjacent distances are recorded for multiple hydrological telemetry points. The distances between each hydrological telemetry point and its corresponding multiple adjacent telemetry points are calculated, resulting in multiple adjacent distance data. Then, based on these adjacent telemetry data and distance data, an adjacent influence analysis is performed on the multiple hydrological telemetry points, calculating multiple adjacent influence intervals for each point. Next, according to these multiple adjacent influence intervals, the values ​​in the multiple hydrological telemetry data are compared to obtain multiple interval comparison results. Based on these results, multiple valid telemetry points are selected from the multiple hydrological telemetry points, while multiple invalid telemetry points are eliminated. Specifically, for valid telemetry points, the values ​​of all hydrological telemetry types in the hydrological telemetry data are within their corresponding adjacent influence intervals; for invalid telemetry points, the values ​​of one or more hydrological telemetry types are not within their corresponding adjacent influence intervals. The formula for calculating multiple adjacent influence intervals is as follows: ; Among them, [A] jmin， A jmax [A] forms an adjacent influence interval, where j represents the j-th hydrological telemetry type; ij d represents the value of the j-th hydrological telemetry type for the i-th adjacent telemetry point; i A is the distance between adjacent telemetry points of the i-th neighbor; o The preset interval standard value.

[0029] It is understood that, in the embodiments of the present invention, multiple types of hydrological telemetry are included, specifically including water level, flow rate, rainfall, evaporation, and water temperature.

[0030] Specifically, Figure 3 The flowchart illustrating the method for selecting multiple valid telemetry points provided in the embodiments of the present invention is shown.

[0031] In another preferred embodiment of the present invention, the step of performing an adjacency influence analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple hydrological telemetry data, and screening multiple valid telemetry points specifically includes the following steps: Step S1021: Based on the location data of multiple points, record the adjacent distances of multiple hydrological telemetry points to obtain multiple adjacent distance data; Step S1022: Based on multiple adjacent telemetry data and multiple adjacent distance data, perform adjacent influence analysis on multiple hydrological telemetry points and calculate multiple adjacent influence intervals; Step S1023: According to the multiple adjacent influence intervals, compare the multiple hydrological telemetry data accordingly to obtain multiple interval comparison results; Step S1024: Based on the comparison results of multiple intervals, select multiple valid telemetry points from the multiple hydrological telemetry points.

[0032] Furthermore, the hydrological telemetry method based on edge computing also includes the following steps: Step S103: Obtain meteorological data for the water area, perform wave impact analysis on multiple effective telemetry points, select key telemetry points, and obtain relevant impact data.

[0033] In this embodiment of the invention, water area meteorological data is acquired, the water area meteorological data is identified, the water area wind direction is determined, and at the same time, the effective location data of multiple effective telemetry points are extracted from multiple point location data. In a preset water area map, the multiple effective telemetry points are marked according to the effective location data of the multiple effective telemetry points. From the multiple effective telemetry points, multiple slope-side telemetry points located on the water area bank are selected. Then, combined with the water area wind direction, key telemetry points located on the water area bank side with the same water area wind direction are selected from the multiple slope-side telemetry points, and the relevant impact data of the key telemetry points are acquired.

[0034] It is understandable that, on the side of the water slope that is in the same direction as the wind, the waves caused by strong winds may rise and impact the embankment, which may pose a risk of waves leaping over the embankment. Therefore, the key telemetry points are located on the side of the water slope that is in the same direction as the wind. For example, if the wind direction is southerly, the key telemetry points are located on the south side of the water slope.

[0035] Understandably, the relevant impact data includes information such as embankment angle, embankment type, and wave height.

[0036] Specifically, Figure 4 A flowchart of wave impact analysis is shown in the method provided in the embodiment of the present invention.

[0037] In another preferred embodiment of the present invention, the steps of acquiring aquatic meteorological data, performing wave impact analysis on multiple effective telemetry points, selecting key telemetry points, and acquiring relevant impact data specifically include the following steps: Step S1031: Obtain meteorological data for the water area; Step S1032: Determine the wind direction of the water area based on the meteorological data of the water area; Step S1033: Extract the effective location data of multiple effective telemetry points from the multiple point location data; Step S1034: Based on the wind direction of the water area and the multiple valid location data, perform wave impact analysis on the multiple valid telemetry points and select key telemetry points; Step S1035: Obtain relevant impact data of the key telemetry points.

[0038] Furthermore, the hydrological telemetry method based on edge computing also includes the following steps: Step S104: Send the water meteorological data and the relevant impact data to the key telemetry points, and perform safety calculation and telemetry early warning of wave impact based on edge computing technology.

[0039] In this embodiment of the invention, water meteorological data and related impact data are sent to key telemetry points. Simultaneously, real-time telemetry commands are generated and sent to these key telemetry points, enabling them to perform real-time telemetry to obtain real-time water depth. At these key telemetry points, based on edge computing technology, a comprehensive analysis of wave impact is performed on the water meteorological data, related impact data, and real-time telemetry water depth. The comprehensive impact height, combining real-time telemetry water depth and wave run-up, is calculated. The safe height of the water slope corresponding to the key telemetry point is also obtained. By comparing the comprehensive impact height with the safe height, it is determined whether there is a risk of water wave danger. Specifically, if the comprehensive impact height is not greater than the safe height, it is determined that there is no risk of water wave danger; if the comprehensive impact height is greater than the safe height, it is determined that there is a risk of water wave danger. In this case, a direct warning signal is generated for direct telemetry warning, achieving rapid and effective hydrological telemetry water level risk warning. The formula for calculating the run-up impact height is: ; Where h' is the height affected by the climb; λ is the preset calculation coefficient; H is the wave height; V is the wind speed in the water area; g is the gravitational acceleration; and h is the real-time telemetry water depth.

[0040] Understandably, the calculation coefficients are predetermined by factors such as the slope angle and slope type.

[0041] Specifically, Figure 5 A flowchart illustrating the safety calculation and telemetry early warning of wave impact provided in the method of this invention is shown.

[0042] In another preferred embodiment of the present invention, the step of sending the aquatic meteorological data and the relevant impact data to the key telemetry points, and performing safety calculations and telemetry early warnings of wave impacts based on edge computing technology, specifically includes the following steps: Step S1041: Send the water meteorological data and the relevant impact data to the key telemetry points; Step S1042: Obtain real-time telemetry water depth at the key telemetry points; Step S1043: Based on edge computing technology, perform a comprehensive analysis of the wave impact on the water meteorological data, the relevant impact data, and the real-time telemetry water depth, and calculate the comprehensive impact height; Step S1044: Compare the overall impact height with the preset safety height to determine whether there is a danger of wind and waves in the water. Step S1045: When there is a danger of wind and waves in the water, conduct direct remote sensing early warning.

[0043] Furthermore, Figure 6 The following is an application architecture diagram of the hydrological telemetry system based on edge computing provided in an embodiment of the present invention.

[0044] Specifically, in another preferred embodiment provided by the present invention, a hydrological telemetry system based on edge computing includes: The telemetry point analysis module 101 is used to acquire hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data.

[0045] In this embodiment of the invention, the telemetry point analysis module 101 determines multiple hydrological telemetry points in the water area and acquires the point location data corresponding to the multiple hydrological telemetry points. Then, based on the multiple point location data, with each point location data as the center and a preset adjacent range data as the radius, it constructs an adjacent region for each hydrological telemetry point, identifies multiple other hydrological telemetry points belonging to the adjacent region, and determines them as multiple adjacent telemetry points, thereby realizing the automatic selection of multiple adjacent telemetry points corresponding to each hydrological telemetry point. At the same time, according to the preset hydrological telemetry cycle, it periodically generates hydrological telemetry commands and sends the hydrological telemetry commands to the multiple hydrological telemetry points, thereby acquiring the hydrological telemetry data transmitted back after the multiple hydrological telemetry points perform hydrological telemetry, and extracting the adjacent telemetry data of the multiple adjacent telemetry points corresponding to each hydrological telemetry point from the multiple hydrological telemetry data.

[0046] Specifically, Figure 7 A structural diagram of the telemetry point analysis module 101 in the system provided in an embodiment of the present invention is shown.

[0047] In another preferred embodiment provided by the present invention, the telemetry point analysis module 101 specifically includes: The location data acquisition unit 1011 is used to determine multiple hydrological telemetry points and acquire location data of multiple points; The adjacent analysis unit 1012 is used to perform adjacent analysis on the location data of multiple points according to the preset adjacent range data, and select multiple adjacent telemetry points corresponding to each hydrological telemetry point. The instruction sending unit 1013 is used to periodically generate and send hydrological telemetry instructions to multiple hydrological telemetry points according to a preset hydrological telemetry cycle. The telemetry data acquisition unit 1014 is used to acquire hydrological telemetry data from multiple hydrological telemetry points. The adjacent data extraction unit 1015 is used to extract multiple adjacent telemetry data corresponding to each hydrological telemetry point from multiple hydrological telemetry data.

[0048] Furthermore, the edge computing-based hydrological telemetry system also includes: The neighboring influence analysis module 102 is used to perform neighboring influence analysis on multiple hydrological telemetry points based on multiple neighboring telemetry data and multiple hydrological telemetry data, and to screen multiple valid telemetry points.

[0049] In this embodiment of the invention, the adjacent impact analysis module 102 records the adjacent distances of multiple hydrological telemetry points based on multiple point location data, calculates the distance between each hydrological telemetry point and its corresponding multiple adjacent telemetry points, and obtains multiple adjacent distance data. Then, based on the multiple adjacent telemetry data and the multiple adjacent distance data, it performs adjacent impact analysis on the multiple hydrological telemetry points, calculates multiple adjacent impact intervals for the multiple hydrological telemetry points, and then compares the values ​​in the multiple hydrological telemetry data according to the multiple adjacent impact intervals to obtain multiple interval comparison results. Based on the multiple interval comparison results, it selects multiple valid telemetry points from the multiple hydrological telemetry points and eliminates multiple invalid telemetry points. Specifically, in the hydrological telemetry data corresponding to valid telemetry points, the values ​​of all hydrological telemetry types are within the corresponding adjacent impact intervals; in the hydrological telemetry data corresponding to invalid telemetry points, the values ​​of one or more hydrological telemetry types are not within the corresponding adjacent impact intervals. The calculation formula for multiple adjacent impact intervals is: ; Among them, [A] jmin， A jmax [A] forms an adjacent influence interval, where j represents the j-th hydrological telemetry type; ij d represents the value of the j-th hydrological telemetry type for the i-th adjacent telemetry point; i A is the distance between adjacent telemetry points of the i-th neighbor; o The preset interval standard value.

[0050] Specifically, Figure 8 The diagram shows the structure of the adjacent influence analysis module 102 in the system provided in this embodiment of the invention.

[0051] In another preferred embodiment provided by the present invention, the adjacent influence analysis module 102 specifically includes: The adjacent distance recording unit 1021 is used to record the adjacent distances of multiple hydrological telemetry points based on the location data of multiple points, and to obtain multiple adjacent distance data. The spatial interpolation analysis unit 1022 is used to perform adjacent influence analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple adjacent distance data, and to calculate multiple adjacent influence intervals. The data comparison unit 1023 is used to compare the multiple hydrological telemetry data according to the multiple adjacent influence intervals, and obtain multiple interval comparison results; The point selection unit 1024 is used to select multiple valid telemetry points from multiple hydrological telemetry points based on the comparison results of multiple intervals.

[0052] Furthermore, the edge computing-based hydrological telemetry system also includes: The wave impact analysis module 103 is used to acquire water meteorological data, perform wave impact analysis on multiple effective telemetry points, select key telemetry points, and acquire relevant impact data.

[0053] In this embodiment of the invention, the wave impact analysis module 103 acquires water area meteorological data, identifies the water area meteorological data, determines the water area wind direction, and simultaneously extracts the effective location data of multiple effective telemetry points from multiple point location data. In a preset water area map, the multiple effective telemetry points are marked according to the effective location data of the multiple effective telemetry points. From the multiple effective telemetry points, multiple slope-side telemetry points located on the water area slope are selected. Then, combined with the water area wind direction, key telemetry points located on the water area slope side with the same water area wind direction are selected from the multiple slope-side telemetry points, and the relevant impact data of the key telemetry points are acquired.

[0054] The telemetry and early warning processing module 104 is used to send the water meteorological data and the relevant impact data to the key telemetry points, and to perform safety calculations and telemetry early warnings of wave impacts based on edge computing technology.

[0055] In this embodiment of the invention, the telemetry early warning processing module 104 sends water meteorological data and related impact data to key telemetry points. Simultaneously, it generates real-time telemetry commands and sends these commands to the key telemetry points, enabling them to perform real-time telemetry to obtain real-time water depth. At these key telemetry points, based on edge computing technology, a comprehensive analysis of wave impact is performed on the water meteorological data, related impact data, and real-time telemetry water depth. The combined impact height, calculated by combining real-time telemetry water depth and wave run-up, is calculated. The safe height of the water slope corresponding to the key telemetry point is also obtained. By comparing the combined impact height with the safe height, it is determined whether there is a risk of water wave danger. Specifically, if the combined impact height is not greater than the safe height, it is determined that there is no risk of water wave danger; if the combined impact height is greater than the safe height, it is determined that there is a risk of water wave danger. In this case, a direct early warning signal is generated for direct telemetry early warning, achieving rapid and effective hydrological telemetry water level risk early warning. The formula for calculating the run-up impact height is: ; Where h' is the height affected by the climb; λ is the preset calculation coefficient; H is the wave height; V is the wind speed in the water area; g is the gravitational acceleration; and h is the real-time telemetry water depth.

[0056] The above-described embodiments are merely examples of several implementations of the present invention, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of the present invention. For those skilled in the art, various modifications and improvements can be made without departing from the concept of the present invention, and these modifications and improvements all fall within the protection scope of the present invention.

Claims

1. A hydrological remote sensing method based on edge computing, characterized in that, The method specifically includes the following steps: Acquire hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data. Based on multiple adjacent telemetry data and multiple hydrological telemetry data, an adjacent influence analysis is performed on multiple hydrological telemetry points to screen multiple effective telemetry points. Acquire meteorological data for the water area, conduct wave impact analysis on multiple effective telemetry points, select key telemetry points, and acquire relevant impact data; The meteorological data of the water area and the relevant impact data are sent to the key telemetry points. Based on edge computing technology, safety calculations and telemetry early warnings of wave impacts are performed.

2. The hydrological telemetry method based on edge computing according to claim 1, characterized in that, The process of acquiring hydrological telemetry data from multiple hydrological telemetry points, determining multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extracting multiple adjacent telemetry data specifically includes the following steps: Multiple hydrological telemetry points were identified, and location data for each point was acquired. According to the preset adjacent range data, the adjacent analysis of the location data of multiple points is performed, and multiple adjacent telemetry points corresponding to each hydrological telemetry point are selected. According to the preset hydrological telemetry cycle, hydrological telemetry commands are periodically generated and sent to multiple hydrological telemetry points. Acquire hydrological telemetry data from multiple hydrological telemetry points; From the multiple hydrological telemetry data, extract multiple adjacent telemetry data corresponding to each hydrological telemetry point.

3. The hydrological telemetry method based on edge computing according to claim 2, characterized in that, The step of performing an adjacency impact analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple hydrological telemetry data, and selecting multiple valid telemetry points specifically includes the following steps: Based on the location data of multiple points, the adjacent distances of multiple hydrological telemetry points are recorded to obtain multiple adjacent distance data. Based on multiple adjacent telemetry data and multiple adjacent distance data, an adjacent impact analysis is performed on multiple hydrological telemetry points to calculate multiple adjacent impact intervals. According to the multiple adjacent influence intervals, the multiple hydrological telemetry data are compared accordingly to obtain multiple interval comparison results; Based on the comparison results of multiple intervals, multiple valid telemetry points are selected from the multiple hydrological telemetry points.

4. The hydrological telemetry method based on edge computing according to claim 3, characterized in that, The calculation formula for multiple adjacent influence intervals is as follows: ； Among them, [A] jmin， A jmax [A] forms an adjacent influence interval, where j represents the j-th hydrological telemetry type; ij d represents the value of the j-th hydrological telemetry type for the i-th adjacent telemetry point; i A is the distance between adjacent telemetry points of the i-th neighbor; o The preset interval standard value.

5. The hydrological telemetry method based on edge computing according to claim 2, characterized in that, The acquisition of aquatic meteorological data, wave impact analysis of multiple effective telemetry points, selection of key telemetry points, and acquisition of relevant impact data specifically include the following steps: Acquire meteorological data for water areas; Determine the wind direction in the water area based on the meteorological data of the water area; Extract valid location data of multiple valid telemetry points from the multiple location data of the points; Based on the wind direction in the water area and multiple valid location data, wave impact analysis is performed on multiple valid telemetry points to select key telemetry points; Obtain relevant impact data for the key telemetry points.

6. The hydrological telemetry method based on edge computing according to claim 1, characterized in that, The process of sending the aquatic meteorological data and related impact data to the key telemetry points, and performing safety calculations and telemetry early warnings of wave impacts based on edge computing technology, specifically includes the following steps: The water meteorological data and the relevant impact data are sent to the key telemetry points; Real-time telemetry water depth was obtained at the key telemetry points. Based on edge computing technology, a comprehensive analysis of wave impact is performed on the meteorological data of the water area, the relevant impact data, and the real-time telemetry water depth to calculate the comprehensive impact height; The overall impact height is compared with the preset safety height to determine whether there is a danger of wind and waves in the water. Direct remote sensing early warning will be conducted when there is a risk of wind and waves in the water.

7. The hydrological telemetry method based on edge computing according to claim 6, characterized in that, The formula for calculating the height affected by climbing is as follows: ； Where h' is the height affected by the climb; λ is the preset calculation coefficient; H is the wave height; V is the wind speed in the water area; g is the gravitational acceleration; and h is the real-time telemetry water depth.

8. A hydrological telemetry system based on edge computing, characterized in that, The system includes a telemetry point analysis module, an adjacent impact analysis module, a wave impact analysis module, and a telemetry early warning processing module, wherein: The telemetry point analysis module is used to acquire hydrological telemetry data from multiple hydrological telemetry points, determine multiple adjacent telemetry points corresponding to each hydrological telemetry point, and extract multiple adjacent telemetry data. The neighboring impact analysis module is used to perform neighboring impact analysis on multiple hydrological telemetry points based on multiple neighboring telemetry data and multiple hydrological telemetry data, and to screen multiple valid telemetry points; The wave impact analysis module is used to acquire water meteorological data, perform wave impact analysis on multiple effective telemetry points, select key telemetry points, and acquire relevant impact data. The telemetry and early warning processing module is used to send the water meteorological data and the relevant impact data to the key telemetry points, and to perform safety calculations and telemetry early warnings of wave impacts based on edge computing technology.

9. The hydrological telemetry system based on edge computing according to claim 8, characterized in that, The telemetry point analysis module specifically includes: The location data acquisition unit is used to determine multiple hydrological telemetry points and acquire location data for those points. The adjacent analysis unit is used to perform adjacent analysis on the location data of multiple points according to the preset adjacent range data, and select multiple adjacent telemetry points corresponding to each hydrological telemetry point. The instruction sending unit is used to periodically generate and send hydrological telemetry instructions to multiple hydrological telemetry points according to a preset hydrological telemetry cycle. The telemetry data acquisition unit is used to acquire hydrological telemetry data from multiple hydrological telemetry points. The adjacent data extraction unit is used to extract multiple adjacent telemetry data corresponding to each hydrological telemetry point from the multiple hydrological telemetry data.

10. The hydrological telemetry system based on edge computing according to claim 9, characterized in that, The adjacent influence analysis module specifically includes: The adjacent distance recording unit is used to record the adjacent distances of multiple hydrological telemetry points based on the location data of multiple points, and to obtain multiple adjacent distance data. The spatial interpolation analysis unit is used to perform adjacent influence analysis on multiple hydrological telemetry points based on multiple adjacent telemetry data and multiple adjacent distance data, and to calculate multiple adjacent influence intervals. The data comparison unit is used to compare the multiple hydrological telemetry data according to the multiple adjacent influence intervals, and obtain multiple interval comparison results; The point selection unit is used to select multiple valid telemetry points from multiple hydrological telemetry points based on the comparison results of multiple intervals.

Images