River hydrological data monitoring and display system based on cloud platform

Abstract

The present invention discloses a river hydrological data monitoring and display system based on a cloud platform, belonging to the technical field of hydrological monitoring and display; based on the water flow rate, different schemes of river hydrology monitoring are implemented, and data cleaning and calculation analysis can be performed on river hydrological data obtained from different types of monitoring in different regions to achieve deep data mining, so that the health and safety aspects of river hydrology can be independently analyzed and evaluated, and the evaluation results of various aspects can be displayed in the form of charts, so as to achieve more comprehensive river hydrological data monitoring and mining display; the present invention is used to solve the technical problem that in the existing scheme, the data obtained by monitoring is not deeply mined to analyze and evaluate the health and safety aspects of river hydrology, resulting in poor overall effect of river hydrological data monitoring and display.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrological monitoring and display, and in particular to a river hydrological data monitoring and display system based on a cloud platform. Background Art

[0002] Hydrology refers to various phenomena such as the changes and movements of water in nature. To study the hydrology of a place and provide guidance for production and life services, it is necessary to grasp the performance of hydrology, mainly by determining some important indicators for measurement.

[0003] When implementing existing river hydrological data monitoring and display solutions, most of them are still based on various sensors and detectors to monitor and intuitively display various data in water resources. The monitored data are not deeply mined to analyze and evaluate the health and safety aspects of river hydrology, and the abnormalities in hydrological health and safety are not dynamically displayed based on the evaluation results so that personnel can be arranged to deal with them in time, resulting in poor overall effect of river hydrological data monitoring and display. Summary of the invention

[0004] The purpose of the present invention is to provide a river hydrological data monitoring and display system based on a cloud platform, which is used to solve the technical problem that the existing solutions do not conduct in-depth mining of the monitored data to analyze and evaluate the health and safety aspects of river hydrology, resulting in poor overall effect of river hydrological data monitoring and display.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The river hydrological data monitoring and display system based on the cloud platform includes a static monitoring sub-platform and a dynamic monitoring sub-platform; the static monitoring sub-platform includes a static monitoring module, a static analysis module and a static prompt module;

[0007] The static monitoring module is used to monitor different types of river water resources in different regions to obtain static information and upload it to the cloud platform. The static information includes nutrients, water temperature, light intensity, pH value and oxygen content;

[0008] The static analysis module is used to build a hydrological assessment model based on the basic information of rivers, and input the acquired static information into the hydrological assessment model to obtain static labels of corresponding levels; pre-process and analyze the historical static information of the selected area to obtain static assessment results;

[0009] The static prompt module is used to display and give warning prompts on the static hydrological conditions of the river according to the static assessment results;

[0010] The dynamic monitoring sub-platform includes a dynamic monitoring module, a dynamic analysis module and a dynamic prompt module;

[0011] The dynamic monitoring module is used to monitor different types of river water resources in different areas during a preset first interval to obtain dynamic information and upload it to the cloud platform;

[0012] The dynamic analysis module is used to normalize and analyze the dynamic information corresponding to different types of river water resources collected, and obtain dynamic analysis information. The dynamic information corresponding to different types of river water resources collected is normalized and analyzed, including:

[0013] The real-time water velocity, real-time water flow and real-time water depth of the water velocity data, water flow data and water depth data in the dynamic information are obtained and marked as LSi, LLi and SSi respectively; the values ​​of the marked data are jointly calculated with the type weight value α corresponding to the river type to obtain the water migration value SQ;

[0014] The change curve of water migration value is constructed with time as the variable and displayed in real time. At the same time, the hydrological safety status of the corresponding type of rivers is analyzed and evaluated according to the water migration value, and dynamic analysis information including the second water migration signal and the first type of rivers, the third water migration signal and the second type of rivers is obtained;

[0015] The dynamic prompt module is used to dynamically display and warn different types of river hydrological conditions based on dynamic analysis information.

[0016] Preferably, it also includes a control module for monitoring the water flow rate of different types of rivers in different areas. If the monitored water flow rate is less than a preset water speed threshold, a static monitoring instruction is generated and the static monitoring sub-platform is controlled to perform health monitoring of river hydrology; otherwise, a dynamic monitoring instruction is generated and the dynamic monitoring sub-platform is controlled to perform safety monitoring of river hydrology.

[0017] Preferably, a hydrological assessment model is constructed based on the basic information of rivers, including:

[0018] The basic information of rivers includes sample nutrients, sample water temperature, sample light intensity, sample pH value and sample oxygen content. The basic information is pre-set with static labels of different levels, including normal level and initial danger level.

[0019] Build artificial intelligence models, including deep convolutional neural network models or RBF neural network models;

[0020] The artificial intelligence model is trained using basic information, and the trained artificial intelligence model is marked as a hydrological assessment model.

[0021] Preferably, the historical static information of the selected area is preprocessed and analyzed, including:

[0022] The static information of each monitoring point is used to obtain the static label of the corresponding level through the hydrological assessment model, and the static labels of different levels and their corresponding geographical locations are displayed through charts;

[0023] The geographical location of the static label of the initial danger level is obtained and set as the selected area. When preprocessing the selected area, the total number of initial danger levels appearing in the historical static information is marked as A1, and the duration and number of people processed at each initial danger level are marked as A2 and A3 respectively; the type weight values ​​corresponding to different river types are obtained and marked as α;

[0024] Get the values ​​of the marked data and calculate them together through the formula to get the static value JG; the formula is:

[0025]

[0026] Where a1 and a2 are different proportional coefficients and 1<a2<a1;

[0027] A static evaluation threshold is obtained according to the type weight value corresponding to the river type, and the static evaluation value is matched with the static evaluation threshold to obtain a static evaluation result including a first static evaluation signal and a second static evaluation signal.

[0028] Preferably, the static hydrological status of rivers in the selected area is displayed respectively according to the first static evaluation signal and the second static evaluation signal in the static evaluation result, and alarm prompts of different levels are generated.

[0029] Preferably, the water migration value SQ is calculated by the formula:

[0030]

[0031] Where b1, b2, and b3 are different proportional coefficients, and 0<b3<b1<b2, LS i-1 is the real-time water flow rate monitored last time, LL i-1 is the real-time water flow rate monitored last time, SS i-1 It is the real-time water depth of the last monitoring.

[0032] Preferably, when analyzing and evaluating the hydrological safety status of a river of a corresponding type according to the water migration value, the water migration value is matched with a preset water migration threshold value;

[0033] If the water migration value is greater than the water migration threshold and the subsequent k water migration values ​​are not all greater than the water migration threshold, where k is a positive integer, a second water migration signal is generated and the corresponding river is marked as a type of river, and the interval length of the first interval period is shortened to obtain a second interval period, and the subsequent water migration values ​​are matched and analyzed through the second interval period;

[0034] If the water migration value is not less than the water migration threshold and the subsequent k water migration values ​​are all greater than the water migration threshold, a third water migration signal is generated and the corresponding river is marked as a Class II river, and the interval length of the second interval period is shortened to obtain a third interval period, and the subsequent water migration values ​​are matched and analyzed through the third interval period;

[0035] The second water migration signal and Class I rivers, the third water migration signal and Class II rivers constitute dynamic analysis information.

[0036] Preferably, when targeted display and alarm prompts are performed on the hydrological conditions of different types of rivers based on dynamic analysis information, the warning water depths corresponding to different types of rivers and different water migration signals in the dynamic analysis information are combined to generate first-level alarm prompts, second-level alarm prompts and third-level alarm prompts.

[0037] Preferably, the static monitoring sub-platform and the dynamic monitoring sub-platform as well as the modules are electrically connected.

[0038] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0039] 1. The present invention implements different monitoring schemes for river hydrology based on water flow rate, and can perform data cleaning and computational analysis on river hydrological data obtained from different types of monitoring in different regions to achieve deep data mining, so as to independently analyze and evaluate the health and safety aspects of river hydrology, and display the evaluation results of various aspects in the form of charts, so as to achieve more comprehensive river hydrological data monitoring and mining display.

[0040] 2. The present invention evaluates the health risks of river hydrology based on the constructed algorithm model, and jointly calculates various historical data of river hydrology according to the health risks. Based on the calculation results, the severity of the river hydrology corresponding to the abnormal state is evaluated, so as to generate early warnings and prompts of different levels, and take matching processing measures to effectively improve the data monitoring and display effects of river hydrological health.

[0041] 3. The present invention evaluates the changes in hydrological safety of different types of rivers by combining and calculating the changes in real-time water flow rate, real-time water flow and real-time water depth monitored at different intervals, so as to efficiently display and issue alarms, prepare countermeasures for abnormal safety conditions in advance, and effectively improve the data monitoring and display effects of river hydrological safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Figure 1 This is a module block diagram of the river hydrological data monitoring and display system based on the cloud platform of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] like Figure 1 As shown, the present invention is a river hydrological data monitoring and display system based on a cloud platform, including a static monitoring sub-platform, a dynamic monitoring sub-platform and a control module;

[0046] Among them, the control module is used to monitor the water flow rate of different types of rivers in different regions. If the monitored water flow rate is less than the preset water velocity threshold, a static monitoring instruction is generated and the static monitoring sub-platform is controlled to monitor the hydrological health of the river;

[0047] On the contrary, it generates dynamic monitoring instructions and regulates the dynamic monitoring sub-platform to monitor river hydrological safety;

[0048] In the embodiment of the present invention, different monitoring schemes are implemented for river hydrology based on water flow rate. The static monitoring sub-platform here is relative to the dynamic monitoring sub-platform. It does not mean that the water flow is not moving, but the difference between rainy season and non-rainy season scenarios. The static monitoring sub-platform mainly monitors the water health in rivers, and the dynamic monitoring sub-platform is for abnormal water flow rate, such as water flow rate after rain and excessive water flow, and mainly monitors the water safety in rivers. Different from the indiscriminate monitoring in the existing scheme, the embodiment of the present invention can achieve more comprehensive and efficient monitoring effects.

[0049] The static monitoring sub-platform includes static monitoring module, static analysis module and static prompt module;

[0050] The static monitoring module is used to monitor different types of river water resources in different regions to obtain static information and upload it to the cloud platform. The static information includes nutrients, water temperature, light intensity, pH value and oxygen content; nutrients include but are not limited to ammonia nitrogen, nitrate nitrogen, urea, phosphate and their corresponding contents;

[0051] The static analysis module is used to construct a hydrological assessment model based on the basic information of rivers, and input the acquired static information into the hydrological assessment model to obtain static labels of corresponding levels;

[0052] Among them, the hydrological assessment model is constructed based on the basic information of rivers, including:

[0053] The basic information of rivers includes sample nutrients, sample water temperature, sample light intensity, sample pH value and sample oxygen content; the basic information is pre-set with static labels of different levels, including normal level and initial danger level; among them, the basic information of rivers and the setting of different static labels can be set based on the existing different types of river hydrological big data, and the initial danger level here can be expressed as the initial stage of blue algae outbreak;

[0054] Build artificial intelligence models, including deep convolutional neural network models or RBF neural network models;

[0055] Training an artificial intelligence model using basic information, and marking the trained artificial intelligence model as a hydrological assessment model;

[0056] Preprocess and analyze the historical static information of the selected area to obtain the static evaluation results; the specific steps include:

[0057] The static information of each monitoring point is obtained through the hydrological assessment model to obtain the static label of the corresponding level, and the static labels of different levels and their corresponding geographical locations are displayed through charts; wherein, the operation of the hydrological assessment model is an existing conventional technical means, and the specific steps are not repeated here;

[0058] In an embodiment of the present invention, a hydrological assessment model is constructed based on different types of river hydrological big data, and static labels corresponding to the river hydrological monitoring data are obtained according to the basic information obtained through monitoring. The hydrological conditions of rivers of corresponding types can be preliminarily obtained based on the static labels. How to differentiate the display and alarm prompts of different types of abnormal river hydrological conditions requires further analysis and evaluation so that different types of river hydrological health issues can be dealt with in a targeted manner.

[0059] Obtain the geographic location of the primary danger level static label and set it as the selected area, and perform statistics and preprocessing on the historical static information of the selected area;

[0060] The total number of initial danger levels that appear in historical static information is marked as A1, and the duration and number of people handled at each initial danger level are marked as A2 and A3 respectively; the unit of duration is hours;

[0061] Set different river types to correspond to different type weight values, match the obtained river type with all river types to obtain the corresponding type weight value and mark it as α;

[0062] There are many types of rivers, including perennial rivers and seasonal rivers, outflow rivers and inland rivers, surface rivers and underground rivers, and artificial canals. The purpose of setting the type weight value here is to realize the digital and differentiated representation of different types of rivers, so that differentiated analysis can be accurately and efficiently implemented in the subsequent calculation and analysis process, so as to improve the overall effect of monitoring and analysis of hydrological data of different types of rivers;

[0063] Get the values ​​of the marked data and calculate them together through the formula to get the static value JG; the formula is:

[0064]

[0065] Where a1 and a2 are different proportional coefficients and 1<a2<a1, a1 can be 3.267, and a2 can be 2.153;

[0066] It should be noted that the static value is a numerical value used to make an overall assessment of the static severity of river hydrology in abnormal conditions. By jointly calculating various historical data on river hydrology, the severity of the corresponding abnormal state of river hydrology is assessed based on the calculation results, so as to generate different levels of warnings and prompts, and take matching treatment measures.

[0067] Obtain the static estimation threshold value according to the type weight value corresponding to the river type, and match the static estimation value with the static estimation threshold value;

[0068] If the static value is less than the static estimation threshold, the corresponding river hydrological static severity is determined to be low and a first static estimation signal is generated;

[0069] If the static value is not less than the static value threshold, the corresponding river hydrological static severity is determined to be high and a second static value signal is generated;

[0070] The selected area, the static evaluation value, the first static evaluation signal and the second static evaluation signal constitute a static evaluation result;

[0071] The static prompt module is used to display and warn the static hydrological conditions of the river according to the static assessment results, including:

[0072] The static hydrological status of rivers in the selected area is displayed respectively according to the first static evaluation signal and the second static evaluation signal in the static evaluation result, and alarm prompts of different levels are generated.

[0073] In an embodiment of the present invention, different levels of alarm prompts are provided based on the matching results of static valuation so that the administrator can dynamically arrange different solutions in a timely manner. For example, a first-level water health abnormality alarm prompt is generated according to the first static valuation signal, and a second-level water health abnormality alarm prompt is generated according to the second static valuation signal. At the same time, data from various aspects at different levels are displayed in the form of charts, which can improve the visualization effect of data display.

[0074] Embodiment 2

[0075] Based on the first embodiment, the dynamic monitoring sub-platform includes a dynamic monitoring module, a dynamic analysis module and a dynamic prompt module;

[0076] The dynamic monitoring module is used to monitor different types of river water resources in different areas during a preset first interval to obtain dynamic information and upload it to the cloud platform. The dynamic information includes water flow rate data, water flow data and water depth data;

[0077] It should be noted that the first interval period can be 30 seconds. The purpose of interval monitoring is to reduce the cost of monitoring data processing. In addition, by shortening the first interval period, the river hydrology in abnormal safety state can be adaptively tracked and monitored at a high frequency, effectively improving the overall effect of river hydrological safety state monitoring. In the first embodiment, the river hydrological data monitoring and processing analysis can be performed at fixed intervals, because the abnormal outbreak and expansion of hydrological health is not very time-sensitive compared to safety.

[0078] The dynamic analysis module is used to normalize and analyze the dynamic information corresponding to different types of river water resources collected to obtain dynamic analysis information; the specific steps include:

[0079] Obtain water velocity data, water flow data and water depth data in dynamic information;

[0080] The real-time water flow rate, real-time water flow rate and real-time water depth in the water flow rate data, water flow rate data and water depth data are extracted respectively and marked as LSi, LLi and SSi, respectively, i∈{1, 2, 3, ..., n}, n is a positive integer, and i represents different monitoring time points;

[0081] Classify and combine the marked real-time water flow rate, real-time water flow rate and real-time water depth according to the time sequence to obtain water flow rate processing data, water flow rate processing data and water depth processing data;

[0082] The real-time water flow rate LS i , Real-time water flow LL i and real-time water depth SS i The water migration value SQ is obtained by combining the value of and the type weight value α through the formula; the formula is:

[0083]

[0084] Where b1, b2, and b3 are different proportional coefficients, and 0<b3<b1<b2, b1 can be 3.643, b2 can be 4.537, and b3 can be 2.418. LS i-1 is the real-time water flow rate monitored last time, LL i-1 is the real-time water flow rate monitored last time, SS i-1 The real-time water depth of the last monitoring;

[0085] The above formulas are all dimensionless and numerical calculations. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset proportional coefficient and related preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data;

[0086] It should be noted that the water migration value is a numerical value used to combine various aspects of the dynamic information of river water resources to make an overall assessment of the hydrological safety status of rivers; by combining the changes in real-time water flow rate, real-time water flow and real-time water depth monitored at different intervals, the changes in hydrological safety of different types of rivers are evaluated, so that efficient display and alarm prompts can be made, and response measures for abnormal safety conditions can be prepared in advance.

[0087] The water migration value change curve is constructed with time as the variable and displayed in real time. At the same time, the hydrological safety status of the corresponding type of river is analyzed and evaluated according to the water migration value, and the water migration value is matched with the preset water migration threshold;

[0088] If the water migration value is not greater than the water migration threshold, it is determined that the hydrological safety state of the corresponding type of river is normal and a first water migration signal is generated;

[0089] If the water migration value is greater than the water migration threshold and the subsequent k water migration values ​​are not all greater than the water migration threshold, k is a positive integer, which can be 4, then the corresponding type of river hydrological safety status is determined to be slightly abnormal and a second water migration signal is generated. According to the second water migration signal, the corresponding river is marked as a type of river, and the interval length of the first interval period is shortened to obtain a second interval period. The subsequent water migration values ​​are matched and analyzed through the second interval period until an administrator intervenes to arrange for processing. The second interval period can be 15 seconds;

[0090] If the water migration value is not less than the water migration threshold and the subsequent k water migration values ​​are all greater than the water migration threshold, the corresponding type of river hydrological safety state is determined to be moderately abnormal and a third water migration signal is generated. According to the third water migration signal, the corresponding river is marked as a Class II river, and the interval length of the second interval period is shortened to obtain a third interval period. The subsequent water migration values ​​are matched and analyzed through the third interval period until an administrator intervenes to arrange for processing. The third interval period can be 6 seconds;

[0091] The first water migration signal, the second water migration signal and the first-class river, the third water migration signal and the second-class river constitute dynamic analysis information to obtain dynamic analysis information;

[0092] In the embodiment of the present invention, the hydrological safety status assessment requirements corresponding to rivers of different types and different water depths are different, so differentiated analysis and evaluation are needed. The type weight value in the formula can play a distinguishing role and obtain the matching water migration threshold, so as to improve the overall effect of the monitoring and evaluation display of the hydrological safety status of different types of rivers.

[0093] The dynamic prompt module is used to dynamically display and warn different types of river hydrological conditions based on dynamic analysis information, including:

[0094] Display the hydrological status of different types of rivers based on warning water depth and dynamic analysis information;

[0095] When the real-time water depth is not greater than the warning water depth and the dynamic analysis information contains the third water migration signal, a first-level alarm prompt is generated for the second-class rivers;

[0096] When the real-time water depth is greater than the warning water depth and the dynamic analysis information contains the second water migration signal, a second-level alarm prompt is generated for a type of river;

[0097] When the real-time water depth is greater than the warning water depth and the dynamic analysis information contains the third water migration signal, a third-level alarm prompt is generated for the second-class rivers; the alarm severity corresponding to the first-level alarm prompt, the second-level alarm prompt, and the third-level alarm prompt increases in sequence.

[0098] In an embodiment of the present invention, the warning water depth is combined with different water migration signals in the dynamic analysis information to dynamically display and warn different types of river hydrological safety status, thereby improving the diversity and accuracy of river hydrological data monitoring and display.

[0099] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0100] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0102] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. River hydrological data monitoring and display system based on cloud platform, It is characterized in that It includes a static monitoring sub-platform and a dynamic monitoring sub-platform; the static monitoring sub-platform includes a static monitoring module, a static analysis module and a static prompt module; The static monitoring module is used to monitor different types of river water resources in different regions to obtain static information and upload it to the cloud platform; the static information includes nutrients, water temperature, light intensity, pH value and oxygen content; nutrients include ammonia nitrogen, nitrate nitrogen, urea, phosphate and their corresponding contents; The static analysis module is used to build a hydrological assessment model based on the basic information of rivers, and input the acquired static information into the hydrological assessment model to obtain static labels of corresponding levels; Preprocess and analyze the historical static information of the selected area to obtain static evaluation results; including: The basic information of rivers includes sample nutrients, sample water temperature, sample light intensity, sample pH value and sample oxygen content. The basic information is pre-set with static labels of different levels, including normal level and initial danger level. Build artificial intelligence models, including deep convolutional neural network models or RBF neural network models; Training an artificial intelligence model using basic information, and marking the trained artificial intelligence model as a hydrological assessment model; When preprocessing and analyzing the historical static information of the selected area, the static information of each monitoring point is used to obtain the static labels of the corresponding level through the hydrological assessment model, and the static labels of different levels and their corresponding geographical locations are displayed through charts; The geographical location of the static label of the initial danger level is obtained and set as the selected area. When preprocessing the selected area, the total number of initial danger levels appearing in the historical static information is marked as A1, and the duration and number of people processed at each initial danger level are marked as A2 and A3 respectively; the type weight values ​​corresponding to different river types are obtained and marked as α; Get the value of each marked data and calculate it by formula to get the static value JG; the formula is Where a1 and a2 are different proportional coefficients and 1<a2<a1; Obtaining a static evaluation threshold value according to a type weight value corresponding to a river type, and matching the static evaluation value with the static evaluation threshold value to obtain a static evaluation result including a first static evaluation signal and a second static evaluation signal; The static prompt module is used to display and give warning prompts on the static hydrological conditions of the river according to the static assessment results; The dynamic monitoring sub-platform includes a dynamic monitoring module, a dynamic analysis module and a dynamic prompt module; The dynamic monitoring module is used to monitor different types of river water resources in different areas during a preset first interval to obtain dynamic information and upload it to the cloud platform; The dynamic analysis module is used to normalize and analyze the dynamic information corresponding to different types of river water resources collected, and obtain dynamic analysis information. The dynamic information corresponding to different types of river water resources collected is normalized and analyzed, including: The real-time water velocity, real-time water flow and real-time water depth of the water velocity data, water flow data and water depth data in the dynamic information are obtained and marked as LSi, LLi and SSi respectively; the values ​​of the marked data are jointly calculated with the type weight value α corresponding to the river type to obtain the water migration value SQ; The change curve of water migration value is constructed with time as the variable and displayed in real time. At the same time, when analyzing and evaluating the hydrological safety status of the corresponding type of rivers based on the water migration value, the water migration value is matched with the preset water migration threshold value; If the water migration value is greater than the water migration threshold and the subsequent k water migration values ​​are not all greater than the water migration threshold, where k is a positive integer, a second water migration signal is generated and the corresponding river is marked as a type of river, and the interval length of the first interval period is shortened to obtain a second interval period; If the water migration value is not less than the water migration threshold and the subsequent k water migration values ​​are all greater than the water migration threshold, a third water migration signal is generated and the corresponding river is marked as a Class II river, and the interval length of the second interval period is shortened to obtain a third interval period; the second water migration signal and Class I rivers, the third water migration signal and Class II rivers constitute dynamic analysis information; The dynamic prompt module is used to dynamically display and warn different types of river hydrological conditions based on dynamic analysis information.

2. According to the cloud platform-based river hydrological data monitoring and display system of claim 1, It is characterized in that It also includes a control module for monitoring the water flow rate of different types of rivers in different areas. If the monitored water flow rate is less than the preset water speed threshold, a static monitoring instruction is generated and the static monitoring sub-platform is controlled to perform health monitoring of river hydrology; otherwise, a dynamic monitoring instruction is generated and the dynamic monitoring sub-platform is controlled to perform safety monitoring of river hydrology.

3. According to the cloud platform-based river hydrological data monitoring and display system of claim 1, It is characterized in that The static hydrological status of rivers in the selected area is displayed respectively according to the first static evaluation signal and the second static evaluation signal in the static evaluation result, and alarm prompts of different levels are generated.

4. According to the cloud platform-based river hydrological data monitoring and display system of claim 1, It is characterized in that The formula for calculating the water migration value SQ is: Wherein, b1, b2, and b3 are different proportional coefficients, and 0<b3<b1<b2, LSi-1 is the real-time water flow rate of the last monitoring, LLi-1 is the real-time water flow of the last monitoring, and SSi-1 is the real-time water depth of the last monitoring.

5. According to the cloud platform-based river hydrological data monitoring and display system of claim 1, It is characterized in that When performing targeted display and alarm prompts for different types of river hydrological conditions based on dynamic analysis information, the warning water depths corresponding to different types of rivers and different water migration signals in the dynamic analysis information are combined to generate first-level alarm prompts, second-level alarm prompts and third-level alarm prompts.

6. According to the cloud platform-based river hydrological data monitoring and display system of claim 1, It is characterized in that The static monitoring sub-platform and the dynamic monitoring sub-platform as well as the modules are electrically connected.

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