An intelligent data processing system for hydraulic engineering

Abstract

The application relates to the technical field of digital processing, in particular to an intelligent data processing system for water conservancy projects, which comprises a data acquisition module, a water conservancy history analysis module, a water flow fluctuation analysis module, a history alarm analysis module, a multi-source data analysis module, an engineering construction analysis module and a reservoir capacity early warning module. The data acquisition module acquires historical water conservancy data, water conservancy project parameters and historical environment data, and also acquires real-time environment data and real-time hydrological data in a monitoring period. The water conservancy history analysis module constructs a water conservancy load index of the water conservancy project. The water flow fluctuation analysis module analyzes the runoff fluctuation state of a water source and improves the construction process of the water conservancy load index. The history alarm analysis module iterates the analysis process of the runoff fluctuation state of the water source. The multi-source data analysis module analyzes the abnormality of a reservoir water source. The engineering construction analysis module analyzes the engineering safety of the water conservancy project. The reservoir capacity early warning module early warns reservoir storage. The application effectively improves the efficiency of water conservancy project data processing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital processing, and in particular to an intelligent data processing system for water conservancy projects. BACKGROUND

[0002] With the development of information technology, water conservancy projects increasingly rely on accurate data analysis to support decision-making processes. Traditional data processing methods are difficult to meet the needs of modern water conservancy for efficiency, accuracy and real-time. Therefore, it is particularly important to develop an intelligent data processing system that can automatically collect, analyze and provide decision support.

[0003] Chinese patent publication No. CN117827990A discloses a data processing method and system suitable for water conservancy projects, comprising: a data acquisition module for real-time collection of data of rivers, weather stations and remote sensing satellites, the data including water level, flow rate, rainfall and air temperature; a data preprocessing module for cleaning, formatting and preliminary analysis of the collected data, including application of data cleaning algorithm, elimination of noise and outliers and standardization of formats of different data sources; a core analysis module for flood risk assessment and sustainable management planning of water resources through hydrological data analysis algorithm and meteorological data analysis algorithm; a result display module for presenting the analysis results of the core analysis module in the form of charts, reports and maps; it can be seen that this invention mainly analyzes data for general water conservancy projects in the process of risk assessment and resource planning for water conservancy projects, without considering water conservancy projects in special scenarios, which is not suitable for data processing of water conservancy projects in high-cold regions, and has the problem of low efficiency of water conservancy data processing. SUMMARY

[0004] The present application aims to provide an intelligent data processing system for water conservancy projects to solve at least one of the problems existing in the prior art.

[0005] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0006] An intelligent data processing system for water conservancy projects, characterized in that it comprises:

[0007] a data acquisition module for acquiring historical water conservancy data, water conservancy project parameters and historical environmental data, and also for acquiring real-time environmental data and real-time hydrological data within a monitoring period;

[0008] a hydrological history analysis module for analyzing seasonal characteristics and temperature characteristics of water conservancy projects according to historical water conservancy data and historical environmental data, and constructing a water conservancy load index of water conservancy projects according to water conservancy project parameters;

[0009] a water flow fluctuation analysis module configured to analyze a runoff fluctuation state of the water source according to a runoff flow of the water source in a historical period, and improve a construction process of the water conservancy load index according to an analysis result;

[0010] a historical alarm analysis module configured to iterate an analysis process of the runoff fluctuation state of the water source according to a historical flood discharge frequency of the water conservancy project;

[0011] an engineering construction analysis module configured to analyze an engineering safety of the water conservancy project according to a frozen soil active layer thickness and a glacier debris flow into reservoir amount of the water conservancy project in a monitoring period;

[0012] a reservoir capacity early warning module configured to early warn reservoir storage according to the water conservancy load index, an analysis result of the abnormality of the water source into the reservoir and the engineering safety analysis result of the water conservancy project in the monitoring period.

[0013] Further, the hydrological history analysis module comprises a hydrological season analysis unit configured to calculate seasonal characteristics of the water conservancy project in each season according to historical water conservancy data and historical environmental data, set the seasonal characteristics of the water conservancy project in each season as q(t), and integrate the seasonal characteristics of the water conservancy project in each season into a seasonal characteristic data table;

[0014] The hydrological history analysis module further comprises a hydrological temperature analysis unit configured to calculate temperature characteristics of the water conservancy project in the historical period according to the historical water conservancy data and the historical environmental data, set the temperature characteristics of the water conservancy project in each season as c(t), and integrate the seasonal characteristics of the water conservancy project in each season into a temperature characteristic data table.

[0015] Further, the hydrological history analysis module further comprises a hydrological load analysis unit configured to construct the water conservancy load index in the current monitoring period according to the seasonal characteristic data table, the temperature characteristic data table and the water conservancy project parameters;

[0016] The hydrological load analysis unit extracts the seasonal characteristics qd(t) and the temperature characteristics cd(t) of the season in which the current monitoring period is located, and constructs the water conservancy load index in the current monitoring period according to qd(t), cd(t) and the water conservancy project parameters: if qd(t)×a1 / η+cd(t)×a2 / kt

[0017] Wherein, η is the water conservancy project water storage safety ratio, kt is the water conservancy project material low temperature, set kt=max{ht,mt,yt}, wherein, ht is the water conservancy project concrete freeze-thaw test qualified strength temperature, mt is the water conservancy project technical toughness qualified temperature, yt is the water conservancy project hydraulic oil denaturation temperature, W is the preset load index, a1 is the seasonal characteristic weight, a2 is the temperature characteristic weight.

[0018] Further, the water flow fluctuation analysis module analyzes the runoff fluctuation state of the water source according to the runoff of the water source in the historical period;

[0019] The water flow fluctuation analysis module is used to calculate the runoff variation coefficient σ(t) of the water source in the season of the current monitoring period in the historical period, and set

[0020]

[0021] Wherein, L(i,t) represents the average runoff of the water source in the i-th historical year in the t-th season in the historical period;

[0022] The water flow fluctuation analysis module analyzes the runoff fluctuation state of the water source according to the runoff variation coefficient σ(t) of the water source: when σ(t)<D, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is normal; otherwise, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is abnormal, and improves the preset load index to W(t), set Wherein, D is the preset runoff fluctuation coefficient.

[0023] Further, the historical alarm analysis module iterates the analysis process of the runoff fluctuation state of the water source according to the historical flood discharge frequency γ of the water conservancy project: if γ≥Y, the historical alarm analysis module determines that the water conservancy project is a flood season high incidence project, and iterates the preset runoff fluctuation coefficient to D', set D'=D×ln{e-(γ-Y) / Y}; if γ≥Y, the historical alarm analysis module determines that the water conservancy project is a flood season normal project, and does not iterate; wherein, Y is the preset flood discharge frequency.

[0024] Further, it further comprises a multi-source data analysis module, which is used to analyze the solid water storage state and real-time liquid water storage state according to the real-time environmental data in the monitoring period, and analyze the abnormality of the reservoir water source according to the analysis results of the solid water storage state and the real-time liquid water storage state;

[0025] The multi-source data analysis module comprises a solid water storage analysis unit configured to analyze a solid water storage state according to an ice layer thickness and an ice layer ablation rate in a monitoring period: if H / sv

[0026] Further, the multi-source data analysis module further comprises a real-time water source analysis unit configured to analyze a real-time liquid water storage state according to a precipitation storage water source volume JV and a groundwater recharge storage volume DV in a monitoring period: if JV+DV+XV

[0027] Further, the multi-source data analysis module further comprises a storage water source analysis unit configured to analyze abnormality of a storage water source according to the real-time liquid water storage state analysis result and the solid water storage state analysis result in a monitoring period: if b1×(H / sv-PH / SV) / PH×SV+b2×(JV+DV+XV-RV×η) / RV×η

[0028] Further, the engineering building analysis module is configured to analyze an engineering safety of the water conservancy project according to a frozen soil active layer thickness DH and a glacier debris flow storage amount NL of the water conservancy project in a monitoring period: if DH×S / KS+NL / RV

[0029] Further, the storage capacity early warning module comprises a storage capacity early warning unit configured to early warn a storage capacity according to a water conservancy load index, the abnormality analysis result of the storage water source and the engineering safety analysis result of the water conservancy project in a monitoring period:

[0030] When the water source in the monitoring period is normal and the reservoir capacity of the water conservancy project is safe, the reservoir capacity early warning unit determines that the reservoir capacity is safe and does not perform early warning;

[0031] When the water source in the monitoring period is normal and the reservoir capacity of the water conservancy project is abnormal, if the water conservancy load index < η × [1-(DH×S / KS+NL / RV-SP) / SP], the reservoir capacity early warning unit determines that the reservoir capacity is safe and does not perform early warning; if the water conservancy load index ≥ η × [1-(DH×S / KS+NL / RV-SP) / SP], the reservoir capacity early warning unit determines that the reservoir capacity is dangerous and sets the early warning result as geological deposition;

[0032] When the water source in the monitoring period is abnormal and the reservoir capacity of the water conservancy project is safe, if the water conservancy load index < η × [1-(b1×(H / sv-PH / SV) / PH×SV+b2×(JV+DV+XV-RV×η) / RV×η-K) / K], the reservoir capacity early warning unit determines that the reservoir capacity is safe and does not perform early warning; if the water conservancy load index ≥ η × [1-(b1×(H / sv-PH / SV) / PH×SV+b2×(JV+DV+XV-RV×η) / RV×η-K) / K], the reservoir capacity early warning unit determines that the reservoir capacity is dangerous and sets the early warning result as excessive storage of water;

[0033] When the water source in the monitoring period is abnormal and the reservoir capacity of the water conservancy project is abnormal, the reservoir capacity early warning unit determines that the reservoir capacity is dangerous and sets the early warning result as deposition flood.

[0034] Compared with the prior art, the beneficial effects of the present application are that: by performing seasonal analysis on the historical data of the water conservancy project in the alpine region, the water conservancy load index of the current season is determined, and then real-time analysis is performed on the current data to obtain the state of the water source storage dimension and the state analysis result of the geological caused sediment storage, and then the water conservancy load index is combined to comprehensively judge the reservoir capacity safety of the water conservancy project. BRIEF DESCRIPTION OF DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0036] Figure 1 It is a structural schematic view of the intelligent data processing system for water conservancy projects in the present embodiment.

[0037] Figure 2 It is a structural schematic view of the hydrological history analysis module in the present embodiment.

[0038] Figure 3 Fig. 3 is a structural schematic diagram of a multi-source data analysis module of the embodiment.

[0039] Figure 4 Fig. 4 is a structural schematic diagram of a reservoir capacity early warning module of the embodiment. DETAILED DESCRIPTION

[0040] In order to more clearly illustrate the present application, the present application will be further described below in conjunction with preferred embodiments and the accompanying drawings. Like components are denoted by the same reference numerals in the drawings. It should be understood by those skilled in the art that the following specific description is illustrative rather than limiting, and should not limit the scope of protection of the present application.

[0041] It should be noted that although the terms first, second, third, etc. may be used in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first can also be referred to as the second, and similarly, the second can also be referred to as the first.

[0042] Specifically, the intelligent data processing system for water conservancy projects described in the embodiment is applied to intelligent processing of water conservancy project related data. In the embodiment, the water conservancy project is specifically data processing of a highland reservoir water conservancy project, which is affected by factors such as highland ice layer melt water, low temperature caused reservoir soil change, and reservoir surface ice cover. It should be noted that the highland reservoir water conservancy project described in the embodiment is the first reservoir water conservancy project of highland melt water, which is directly affected by the upstream water source.

[0043] Please refer to Figure 1 Fig. 1 is a structural schematic diagram of an intelligent data processing system for water conservancy projects of the embodiment, which comprises:

[0044] The data acquisition module is used to acquire historical water conservancy data, water conservancy project parameters, and historical environmental data, and is also used to acquire real-time environmental data and real-time hydrological data in a monitoring period.

[0045] It can be understood that the historical water conservancy data and the historical environmental data in the embodiment are data in a historical period, and the historical period is not specifically limited in the embodiment, and can be freely set by those skilled in the art. In the embodiment, the historical period is specifically 15 years per cycle.

[0046] The historical environment data includes a plateau ice melting ratio of a region where the water conservancy project is located; the historical water conservancy data includes a water storage temperature of the water conservancy project, a ratio of a water storage volume to a capacity of the water conservancy project, a historical ice melt water ratio of a water source of the water conservancy project, and a precipitation and groundwater ratio of the water source of the water conservancy project; the water conservancy project parameters include a freeze-thaw test qualified strength temperature of concrete of the water conservancy project, a technical toughness qualified temperature of the water conservancy project, and a hydraulic oil denaturation temperature of the water conservancy project; the environment data includes an ice layer ablation rate, an ice layer thickness, a frozen soil active layer thickness, and a frozen soil area around the water conservancy project; and the real-time hydrological data includes a precipitation into the water source volume, a groundwater recharge into the water source volume, a water storage volume of the water conservancy project, a glacial debris flow into the water conservancy project, and a reservoir area of the water conservancy project.

[0047] Specifically, the data collection module realizes comprehensive collection of multi-source data by integrating historical water conservancy data, environment data and real-time monitoring data, thereby providing a high-precision, multi-dimensional data basis for subsequent analysis, and especially for the data acquisition capability of special environments (such as ice layer thickness and frozen soil active layer thickness) in high-cold regions, significantly improving the data coverage range and real-time performance of the system.

[0048] Specifically, the historical water conservancy data, the water conservancy project parameters and the historical environment data can be obtained through a database of the water conservancy project.

[0049] Specifically, the embodiment does not specifically limit the value of the length of the monitoring period, and a person skilled in the art can freely set it, as long as the value requirement of the length of the monitoring period is met. In the embodiment, the length of the monitoring period is set to 30 minutes.

[0050] Please continue to refer to Figure 1 As shown, the system further includes a hydrological history analysis module connected with the data collection module, which is used to analyze seasonal characteristics and temperature characteristics of the water conservancy project according to historical water conservancy data and historical environment data, and to construct a water conservancy load index of the water conservancy project according to water conservancy project parameters.

[0051] Please refer to Figure 2 As shown, the hydrological history analysis module includes a hydrological season analysis unit, which is used to analyze seasonal characteristics of the water conservancy project according to historical water conservancy data and historical environment data, and to construct a seasonal characteristic data table;

[0052] The water conservancy seasonal analysis unit is configured to calculate seasonal characteristics of the water conservancy project in each season according to historical water conservancy data and historical environmental data, set the seasonal characteristics of the water conservancy project in each season as q(t), and set q(t) = 1 / N x ∑[v(j,t) / kv(j,t)]; wherein q(t) represents the seasonal characteristics of the tth season in a year, v(j) represents a highland ice melting ratio in the tth season of the jth historical year in a historical period, kv(j,t) represents a ratio of a water conservancy storage volume to a capacity in the tth season of the jth historical year in the historical period, and N is a number of years included in the historical period; by quantifying the seasonal characteristics (such as the highland ice melting ratio and the ratio of the water conservancy storage volume to the capacity), a seasonal characteristic data table is constructed, and the load demand of the water conservancy project in different seasons can be dynamically identified, thereby providing a scientific basis for seasonal changes in the alpine region.

[0053] The water conservancy seasonal analysis unit integrates the seasonal characteristics of the water conservancy project in each season into a seasonal characteristic data table.

[0054] It can be understood that the number of seasons in a natural year and the time length of each season are not specifically limited in the embodiment, and a person skilled in the art can set them according to historical hydrological data of each water conservancy project. In the embodiment, the time length of one season is 30 days, the number of seasons in a natural year is fixed at 12, and the remaining days are included in the next year.

[0055] Please continue to refer to Figure 2 As shown in the figure, the hydrological history analysis module further includes a hydrological temperature analysis unit configured to analyze temperature characteristics of the water conservancy project according to historical water conservancy data and historical environmental data, and construct a temperature characteristic data table.

[0056] The hydrological temperature analysis unit is configured to calculate temperature characteristics of the water conservancy project in a historical period according to historical water conservancy data and historical environmental data, set the temperature characteristics of the water conservancy project in each season as c(t), and set c(t) = 1 / N x ∑c(j,t); wherein c(j,t) represents a storage temperature of the water conservancy project in the tth season of the jth historical year in the historical period; the hydrological temperature analysis unit is configured to analyze the influence of temperature on the safety of the project in combination with historical temperature data, effectively prevent material failure caused by low temperature, and effectively judge the influence of a rate of highland melting water caused by temperature on the water conservancy project.

[0057] The hydrological temperature analysis unit integrates the seasonal characteristics of the water conservancy project in each season into a temperature characteristic data table.

[0058] Please continue to refer to Figure 2As shown, the hydrological history analysis module further comprises a hydrological load analysis unit connected with the hydrological season analysis unit and the hydrological temperature analysis unit, the hydrological load analysis unit being configured to construct a water conservancy load index in the current monitoring period according to the seasonal characteristic data table, the temperature characteristic data table and the water conservancy parameter;

[0059] The hydrological load analysis unit extracts the seasonal characteristic qd(t) and the temperature characteristic cd(t) of the season in which the current monitoring period is located, and constructs a water conservancy load index in the current monitoring period according to qd(t), cd(t) and the water conservancy parameter: if qd(t)×a1 / η+cd(t)×a2 / kt

[0060] wherein η is the water storage safety ratio of the water conservancy project, kt is the material low temperature of the water conservancy project, and kt is set as max{ht, mt, yt}, wherein ht is the freeze-thaw test qualified strength temperature of the water conservancy concrete, mt is the qualified temperature of the technical toughness of the water conservancy project, yt is the denaturation temperature of the hydraulic oil of the water conservancy project, W is the preset load index, a1 is the seasonal characteristic weight, a2 is the temperature characteristic weight, and a1+a2=1.

[0061] Specifically, the present embodiment does not make specific limitation on the value of the preset load index W, and the person skilled in the art can freely set it, as long as the value requirement of the preset load index W is met. In the present embodiment, the best value of the preset load index W is 0.8.

[0062] Please continue to refer to Figure 1 As shown, the system further comprises a water flow fluctuation analysis module connected with the hydrological history analysis module, the water flow fluctuation analysis module being configured to analyze the runoff fluctuation state of the water source according to the runoff flow of the water source in the historical period;

[0063] The water flow fluctuation analysis module is configured to calculate the runoff flow variation coefficient σ(t) of the water source in the season in which the current monitoring period is located in the historical period, and set σ(t)=σ(t-1)×(1-1 / t) if σ(t-1)×(1-1 / t)≥0, and σ(t)=σ(t-1) if σ(t-1)×(1-1 / t)

[0064]

[0065] wherein, L(i, t) represents the average water source runoff flow in the i-th historical year in the t-th season in the historical period;

[0066] The water flow fluctuation analysis module analyzes the runoff fluctuation state of the water source according to the water source runoff flow variation coefficient σ(t): when σ(t) < D, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is normal; otherwise, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is abnormal, and improves the preset load index to W(t), and sets wherein, D is a preset runoff fluctuation coefficient; the water flow fluctuation analysis module analyzes the runoff fluctuation state based on the water source runoff flow variation coefficient (σ(t)), and dynamically adjusts the preset load index, thereby solving the problem of response lag of the traditional method to runoff mutation, and significantly improving the adaptability and accuracy of the load index.

[0067] Specifically, the preset runoff fluctuation coefficient D is not specifically limited in value in the embodiment, and can be freely set by those skilled in the art, as long as the value requirement of the preset runoff fluctuation coefficient D is met. The best value of the preset runoff fluctuation coefficient D in the embodiment is 0.15.

[0068] Please continue to refer to Figure 1 As shown in the figure, the system further comprises a historical alarm analysis module, which is connected with the water flow fluctuation analysis module. The historical alarm analysis module is used to iterate the analysis process of the runoff fluctuation state of the water source according to the historical flood discharge frequency γ of the water conservancy project: if γ ≥ Y, the historical alarm analysis module determines that the water conservancy project is a flood season high-occurrence project, and iterates the preset runoff fluctuation coefficient to D', and sets D' = D x ln{e-(γ-Y) / Y}; if γ < Y, the historical alarm analysis module determines that the water conservancy project is a flood season normal project, and does not iterate; wherein, Y is a preset flood discharge frequency; the historical alarm analysis module iteratively adjusts the runoff fluctuation coefficient in combination with the historical flood discharge frequency (γ), so that the system can dynamically optimize the analysis model according to the historical risk of the project, especially in flood season high-occurrence areas, thereby enhancing the risk prediction ability of the system.

[0069] Specifically, the preset flood discharge frequency Y is not specifically limited in value in the embodiment, and can be freely set by those skilled in the art, as long as the value requirement of the preset flood discharge frequency Y is met. The best value of the preset flood discharge frequency Y in the embodiment is 2 times / year.

[0070] Please continue to refer to Figure 1As shown, the system further comprises a multi-source data analysis module connected with the data collection module, which is used to analyze the abnormality of the water source into the reservoir according to the real-time environmental data in the monitoring period.

[0071] Please refer to Figure 3 As shown, the multi-source data analysis module comprises a solid water storage analysis unit, which is used to analyze the solid water storage state according to the ice layer thickness and ice layer ablation rate in the monitoring period: if H / sv<PH / SV, the solid water storage analysis unit determines that the solid water storage state is normal; otherwise, the solid water storage analysis unit determines that the solid water storage state is abnormal; wherein PH is the average value of the historical ice layer thickness, sv is the ice layer ablation rate, SV is the average value of the historical ice layer ablation rate, and H is the ice layer thickness in the monitoring period; the solid water storage analysis unit determines the solid water storage abnormality by the ratio of the ice layer thickness to the ablation rate (H / sv), effectively warning the risk of sudden change of reservoir capacity caused by rapid ablation of ice layer.

[0072] Specifically, in this embodiment, the average value SV of the historical ice layer ablation rate and the average value PH of the historical ice layer thickness are both the average values of the relevant data of each year in the historical period; at the same time, the ice layer thickness in this embodiment is the measurement data of a certain fixed monitoring point of the plateau ice layer, and the ice layer ablation rate is the same.

[0073] Please continue to refer to Figure 3 As shown, the multi-source data analysis module further comprises a real-time water source analysis unit, which is used to analyze the real-time liquid water storage state according to the precipitation into the reservoir volume JV and the groundwater recharge into the reservoir volume DV in the monitoring period: if JV+DV+XV< RV x η, the real-time water source analysis unit determines that the real-time liquid water storage state is normal; otherwise, the real-time water source analysis unit determines that the real-time liquid water storage state is abnormal; wherein RV is the maximum water storage volume of the water conservancy project, and XV is the water storage volume of the water conservancy project in the monitoring period; in combination with the precipitation, the groundwater and the water storage volume, the real-time liquid water storage state is evaluated to supplement the ice layer melt water, which improves the coverage range and real-time of the water conservancy project into the reservoir data.

[0074] Please continue to refer to Figure 3As shown, the multi-source data analysis module further comprises a reservoir water source analysis unit connected with the real-time water source analysis unit and the solid water storage analysis unit. The reservoir water source analysis unit is configured to analyze the abnormality of the reservoir water source according to the real-time liquid water storage state analysis result and the solid water storage state analysis result in the monitoring period. If b1×(H / sv-PH / SV) / PH×SV+b2×(JV+DV+XV-RV×η) / RV×η

[0075] It can be understood that, in the embodiment, the reason for "b1+b2<1" is that the reservoir condition of frozen soil melt water is not considered. Meanwhile, the embodiment does not specifically limit the value of the preset reservoir water source abnormality index K, and the person skilled in the art can freely set the value of the preset reservoir water source abnormality index K as long as the value meets the requirement of the preset reservoir water source abnormality index K. In the embodiment, the preset reservoir water source abnormality index K can be set to 0.3.

[0076] Please continue to refer to Figure 1 As shown, the system further comprises an engineering building analysis module connected with the data acquisition module. The engineering building analysis module is configured to analyze the engineering safety of the water conservancy project according to the frozen soil active layer thickness DH and the glacier debris flow reservoir amount NL of the water conservancy project in the monitoring period. If DH×S / KS+NL / RV<SP, the engineering building analysis module determines that the reservoir capacity of the water conservancy project is safe. Otherwise, the engineering building analysis module determines that the reservoir capacity of the water conservancy project is abnormal. Wherein, S is the frozen soil area around the water conservancy project, KS is the reservoir area of the water conservancy project, and SP is the water conservancy project reservoir capacity safety index. The engineering building analysis module dynamically evaluates the engineering safety based on the composite index (DH×S / KS+NL / RV) of the frozen soil active layer thickness (DH) and the glacier debris flow reservoir amount (NL), effectively prevents the damage of frozen soil melting and debris flow to the reservoir capacity structure, and improves the reservoir capacity life of the water conservancy project.

[0077] Specifically, the embodiment does not specifically limit the value of the water conservancy project reservoir capacity safety index SP, and the person skilled in the art can freely set the value of the water conservancy project reservoir capacity safety index SP as long as the value meets the requirement of the water conservancy project reservoir capacity safety index SP. In the embodiment, the best value of the water conservancy project reservoir capacity safety index SP is 0.4.

[0078] Please continue to refer to Figure 1 As shown, the system further comprises a reservoir capacity early warning module connected with the engineering building analysis module, the multi-source data analysis module and the hydrological history analysis module, the reservoir capacity early warning module is used to early warn the reservoir storage according to the water conservancy load index in the monitoring period, the abnormality analysis result of the reservoir inflow and the engineering safety analysis result of the water conservancy project, and output the early warning result to the user.

[0079] Please refer to Figure 4 As shown, the reservoir capacity early warning module comprises a reservoir capacity early warning unit, which is used to early warn the reservoir storage according to the water conservancy load index in the monitoring period, the abnormality analysis result of the reservoir inflow and the engineering safety analysis result of the water conservancy project:

[0080] When the reservoir inflow is normal and the reservoir capacity of the water conservancy project is safe in the monitoring period, the reservoir capacity early warning unit determines that the reservoir storage is safe and does not perform early warning;

[0081] When the reservoir inflow is normal and the reservoir capacity of the water conservancy project is abnormal in the monitoring period, if the water conservancy load index < η × [1-(DH × S / KS+NL / RV-SP) / SP], the reservoir capacity early warning unit determines that the reservoir storage is safe and does not perform early warning; if the water conservancy load index ≥ η × [1-(DH × S / KS+NL / RV-SP) / SP], the reservoir capacity early warning unit determines that the reservoir storage is dangerous, and sets the early warning result as geological deposition;

[0082] When the reservoir inflow is abnormal and the reservoir capacity of the water conservancy project is safe in the monitoring period, if the water conservancy load index < η × [1-(b1 × (H / sv-PH / SV) / PH × SV+b2 × (JV+DV+XV-RV × η) / RV × η-K) / K], the reservoir capacity early warning unit determines that the reservoir storage is safe and does not perform early warning; if the water conservancy load index < η × [1-(b1 × (H / sv-PH / SV) / PH × SV+b2 × (JV+DV+XV-RV × η) / RV × η-K) / K], the reservoir capacity early warning unit determines that the reservoir storage is dangerous, and sets the early warning result as excessive storage;

[0083] When the reservoir inflow is abnormal and the reservoir capacity of the water conservancy project is abnormal in the monitoring period, the reservoir capacity early warning unit determines that the reservoir storage is dangerous, and sets the early warning result as deposition flood; the reservoir capacity early warning unit realizes hierarchical early warning (geological deposition, excessive storage, deposition flood) through multi-dimensional condition judgment (reservoir inflow state, engineering safety, water conservancy load index), ensures that the early warning result is accurate and has strong pertinence.

[0084] Please continue to refer to Figure 4As shown, the library capacity early warning module further comprises an output unit configured to output the early warning result to a user.

[0085] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after the changes or replacements will all fall within the protection scope of the present application.

Claims

1. An intelligent data processing system for hydraulic engineering, characterized in that, Comprise: A data acquisition module for acquiring historical water conservancy data, water conservancy engineering parameters and historical environmental data, and also for acquiring real-time environmental data and real-time hydrological data within a monitoring period; A hydrological history analysis module for analyzing seasonal characteristics and temperature characteristics of the water conservancy project according to the historical water conservancy data and the historical environmental data, and constructing a water conservancy load index of the water conservancy project according to the water conservancy engineering parameters; A water flow fluctuation analysis module for analyzing the runoff fluctuation state of the water source according to the runoff flow of the water source in the historical period, and improving the construction process of the water conservancy load index according to the analysis result; A historical alarm analysis module for iterating the analysis process of the runoff fluctuation state of the water source according to the historical flood discharge frequency of the water conservancy project; An engineering construction analysis module for analyzing the engineering safety of the water conservancy project according to the frozen soil active layer thickness and the glacier debris flow into the reservoir of the water conservancy project within the monitoring period; A reservoir capacity early warning module for early warning of reservoir storage according to the water conservancy load index, the abnormality analysis result of the water source into the reservoir and the engineering safety analysis result of the water conservancy project within the monitoring period; The hydrological history analysis module further comprises a hydrological load analysis unit, which is used to extract the seasonal characteristics qd(t) and the temperature characteristics cd(t) of the season in which the current monitoring period is located, and construct the water conservancy load index in the current monitoring period according to qd(t), cd(t) and the water conservancy engineering parameters: Determine whether the water conservancy load state is normal within the monitoring period, and set the water conservancy load index as fh1 when the water conservancy load state is normal within the current monitoring period; set the water conservancy load index as fh2 when the water conservancy load state is abnormal within the current monitoring period; A multi-source data analysis module for analyzing solid water storage state and real-time liquid water storage state according to real-time environmental data within the monitoring period, and analyzing the abnormality of the water source into the reservoir according to the analysis results of the solid water storage state and the real-time liquid water storage state; The multi-source data analysis module comprises a solid water storage analysis unit and a water source into the reservoir analysis unit, the solid water storage analysis unit is used to analyze the solid water storage state according to the ice layer thickness and the ice layer ablation rate within the monitoring period, and the solid water storage state includes normal and abnormal; The water source into the reservoir analysis unit is used to analyze the abnormality of the water source into the reservoir according to the analysis results of the real-time liquid water storage state and the analysis results of the solid water storage state within the monitoring period, and the abnormality analysis result of the water source into the reservoir includes normal and abnormal.

2. The intelligent data processing system for hydraulic engineering according to claim 1, wherein, The hydrological history analysis module comprises a hydrological seasonal analysis unit, which is used to calculate the seasonal characteristics of each season of the water conservancy project according to the historical water conservancy data and the historical environmental data, set the seasonal characteristics of each season of the water conservancy project as q(t), and integrate the seasonal characteristics of each season of the water conservancy project into a seasonal characteristic data table; The hydrological history analysis module further comprises a hydrological temperature analysis unit, which is used to calculate the temperature characteristics of the water conservancy project in the historical period according to the historical water conservancy data and the historical environmental data, set the temperature characteristics of each season of the water conservancy project as c(t), and integrate the seasonal characteristics of each season of the water conservancy project into a temperature characteristic data table.

3. The intelligent data processing system for hydraulic engineering according to claim 2, wherein, The water flow fluctuation analysis module analyzes the runoff fluctuation state of the water source according to the runoff of the water source in the historical period; The water flow fluctuation analysis module is used to calculate the runoff variation coefficient σ(t) of the water source in the current monitoring period in the historical period; The water flow fluctuation analysis module analyzes the runoff fluctuation state of the water source according to the runoff variation coefficient σ(t) of the water source: when σ(t) < D, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is normal; otherwise, the water flow fluctuation analysis module determines that the runoff fluctuation state of the water source is abnormal, and the preset load index is improved to W(t); wherein D is a preset runoff fluctuation coefficient.

4. The intelligent data processing system for hydraulic engineering according to claim 3, wherein, The historical alarm analysis module iterates the analysis process of the runoff fluctuation state of the water source according to the historical flood discharge frequency γ of the water conservancy project: if γ ≥ Y, the historical alarm analysis module determines that the water conservancy project is a flood season high-occurrence project, and iterates the preset runoff fluctuation coefficient to D'; if γ ≥ Y, the historical alarm analysis module determines that the water conservancy project is a flood season normal project, and does not iterate; wherein Y is a preset flood discharge frequency.

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