Water conservancy project risk management and control method, system and platform

Abstract

The invention relates to the technical field of water conservancy management, and particularly discloses a water conservancy project risk management and control method, system and platform, and the method comprises the steps: obtaining the multi-source data of a project, and determining the type risk data, risk monitoring parameter vectors and risk monitoring parameter value matrixes of each type label of each meteorological and hydrological label; determining historical reference data of each type of label of each meteorological and hydrological label; calculating a reference value of historical reference data of each type of label of each meteorological and hydrological label; and constructing a risk management and control model of each type of tag of each meteorological and hydrological tag, and constructing a project management model of the water conservancy project. According to the method, accuracy and systematization of risk management and control can be realized, risk identification focuses on a specific scene while full-scene risks are covered, a management and control strategy has high-value experience support, management and control are promoted to be converted from passive response to active pre-judgment and from extensive management to accurate countermeasure, and comprehensive and adaptive technical support is provided for safe operation of water conservancy projects.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy management, in particular to a water conservancy project risk management and control method, system and platform. BACKGROUND

[0002] In water conservancy projects, risk management and control has always been the key to ensuring project safety, property protection and ecological balance. Traditional water conservancy project risk management and control methods mainly rely on experience and historical data, but these methods often have limitations, lack the ability to integrate and analyze industrial big data, and cannot realize real-time linkage of multi-source data with the help of an industrial internet platform, making it difficult to adapt to complex and changing meteorological, hydrological environments and rapidly changing management needs. With the increase in the scale of water conservancy projects and the complexity of environmental conditions, simple experience and qualitative analysis gradually cannot meet the needs of precise control. Therefore, risk management and control methods based on big data analysis, artificial intelligence and machine learning technology have emerged, which use multi-source data for real-time monitoring and intelligent analysis to optimize decision-making and control strategies. Historically, the management of water conservancy projects has relied on traditional manual records and manual prediction, but the limitations of these methods lie in their inability to effectively combine multi-dimensional data and their susceptibility to human factors. In recent years, with the advancement of data technology, especially the widespread use of meteorological, hydrological monitoring and big data analysis, risk management and control have gradually moved towards data-driven intelligence, introducing more efficient and precise models and algorithms to enhance the intelligence and dynamic adaptability of project management.

[0003] Therefore, the present application provides a water conservancy project risk management and control method, system and platform. SUMMARY

[0004] The present application provides a water conservancy project risk management and control method, system and platform, which acquires project multi-source data of a water conservancy project, determines type risk data, risk monitoring parameter vectors and risk monitoring parameter value matrices of each type label of each meteorological and hydrological label, determines historical reference data and reference values of the historical reference data of each type label of each meteorological and hydrological label, constructs risk management and control models of each type label of each meteorological and hydrological label, and constructs a project management model of the water conservancy project. This can realize the precision and systematization of risk management and control, cover all-scenario risks while focusing on specific scenarios for risk identification, provide high-value experience support for control strategies, promote the transition from passive response to active prediction, from extensive management to precise measures, and provide comprehensive and adaptive technical support for the safe operation of water conservancy projects.

[0005] The present application provides a water conservancy project risk management and control method, which comprises: S1: Obtain project multi-source data of the water conservancy project, and analyze the project multi-source data to determine type risk data, a risk monitoring parameter vector, and a risk monitoring parameter value matrix of each type label of each meteorological and hydrological label; S2: Based on the project multi-source data, the type risk data, the risk monitoring parameter vector, and the risk monitoring parameter value matrix of each type label of each meteorological and hydrological label, and the obtained historical project control data, determine historical reference data of each type label of each meteorological and hydrological label; S3: Based on the project multi-source data and the historical reference data of each type label of each meteorological and hydrological label, calculate a reference value of the historical reference data of each type label of each meteorological and hydrological label; S4: Based on the project multi-source data, the type risk data, the historical reference data, and the reference value of the historical reference data of each type label of each meteorological and hydrological label, construct a risk control model of each type label of each meteorological and hydrological label, and construct a project management model of the water conservancy project.

[0006] Preferably, a water conservancy project risk control method, obtaining project multi-source data of the water conservancy project, comprises: Obtaining water project data of the water conservancy project, wherein the water project data at least includes project name, project type, project location, project scale data, and engineering structure data, wherein the engineering structure data includes a plurality of structure parameters and a structure parameter value of each structure parameter; Based on the project location and the project scale in the project basic data of the water conservancy project, obtaining topographic and geological data of the water conservancy project; Based on the project location in the project basic data of the water conservancy project, obtaining historical control data of the water conservancy project, wherein the historical control data includes cycle labels and cycle control data of a plurality of risk control cycles; Based on the water project data, the topographic and geological data, and the historical control data of the water conservancy project, determining the project multi-source data of the water conservancy project.

[0007] Preferably, a water conservancy project risk control method, based on the project location in the project basic data of the water conservancy project, obtaining historical control data of the water conservancy project, comprises: The cycle label of each risk control cycle of the water conservancy project includes a normal replacement label and an abnormal replacement label; If the cycle label of each risk control cycle of the water conservancy project is a normal replacement label, the cycle control data includes historical meteorological data and historical hydrological data; If the period label of each risk control period of the water conservancy project is the abnormal replacement label, the period control data includes risk monitoring data, historical meteorological data, historical hydrological data, historical management strategy and historical influence data, wherein the risk monitoring data includes a plurality of risk monitoring parameters and a risk monitoring value of each risk monitoring parameter; The historical meteorological data includes a plurality of meteorological parameters and a meteorological parameter value of each meteorological parameter, the historical hydrological data includes a plurality of hydrological parameters and a hydrological parameter value of each hydrological parameter, and the historical influence data includes a plurality of influence parameters, an influence parameter value of each influence parameter and an influence label. The influence label includes safety, property and ecology.

[0008] Preferably, a risk control method of a water conservancy project, analyzing project multi-source data to determine type risk data of each type label of each meteorological and hydrological label, a risk monitoring parameter vector and a risk monitoring parameter value matrix, comprises: Based on the meteorological parameter values of all meteorological parameters in the historical meteorological data of all risk control periods with the abnormal replacement label and the hydrological parameter values of all hydrological parameters in the historical hydrological data, the first clustering analysis is performed on all risk control periods with the abnormal replacement label to determine a plurality of risk meteorological and hydrological data of the water conservancy project and a meteorological and hydrological label of each risk meteorological and hydrological data; Based on the meteorological parameter values of all meteorological parameters in the historical meteorological data of all risk control periods of each meteorological and hydrological label, the risk meteorological vector of each meteorological and hydrological label is determined, and based on the hydrological parameter values of all hydrological parameters in the historical meteorological data of all risk control periods of each meteorological and hydrological label, the risk hydrological vector of each meteorological and hydrological label is determined; Based on all risk monitoring parameters in the risk monitoring data of all risk control periods in the risk meteorological and hydrological data of each meteorological and hydrological label of the water conservancy project, the risk monitoring value of each risk monitoring parameter and the influence parameter values of all influence parameters in the historical influence data, the second clustering analysis is performed on all risk control periods in the risk meteorological and hydrological data of each meteorological and hydrological label to determine a plurality of type risk data of each meteorological and hydrological label and a type label of each type risk data, wherein the type risk data includes period control data of a plurality of risk control periods; Based on the influence parameter values of each influence parameter in the historical influence data in the period control data of all risk control periods of each type label of each meteorological and hydrological label of the water conservancy project, the fitting influence value of each influence parameter of each type label of each meteorological and hydrological label of the water conservancy project is determined; determine a risk monitoring parameter vector of each type label of each meteorological and hydrological label based on all risk monitoring parameters in period control data of all risk control periods in type risk data of each type label of each meteorological and hydrological label; determine a fitting risk range of each risk monitoring parameter in the risk monitoring parameter vector of each type label of each meteorological and hydrological label based on the risk monitoring parameter vector of each type label of each meteorological and hydrological label and risk monitoring values of all risk monitoring parameters in period control data of all risk control periods in type risk data; determine a risk monitoring parameter value matrix of each type label of each meteorological and hydrological label based on the fitting risk range of all risk monitoring parameters in the risk monitoring parameter vector of each type label of each meteorological and hydrological label.

[0009] Preferably, a water conservancy project risk control method, based on project multi-source data, type risk data of each type label of each meteorological and hydrological label, a risk monitoring parameter vector, a risk monitoring parameter value matrix, and obtained multiple historical project control data, determines historical reference data of each type label of each meteorological and hydrological label, comprising: obtain historical project control data of multiple historical projects based on project types in water conservancy project data in project multi-source data of the water conservancy project and structure parameter values of all structure parameters in engineering structure data, wherein the historical project control data includes historical geological and topographical data, historical control periods, historical scale data, multiple water conservancy controls, and water conservancy control data of each water conservancy control, wherein the water conservancy control data includes control meteorological vectors, control hydrological vectors, control monitoring parameter vectors, control monitoring parameter value vectors, executed control strategies, and control impact data; perform feature extraction on topographical and geological data in project multi-source data of the water conservancy project to determine a geological and topographical feature vector of the water conservancy project and a project geological and topographical feature value vector; perform feature extraction on historical geological and topographical data in historical project control data of each historical project based on the geological and topographical feature vector of the water conservancy project to determine a historical geological and topographical feature value vector of each historical project; analyze the project geological and topographical feature value vector of the water conservancy project and the historical geological and topographical feature value vector of the historical project control data of each historical project to determine a geological and topographical similarity value of the water conservancy project and each historical project; The geological and topographical similarity values ​​of the historical project management data of water conservancy projects and each historical project are compared with the preset similarity threshold. Based on the historical project management data with topographical and geological similarity values ​​greater than the preset similarity threshold, the first reference data of water conservancy projects is determined. The first reference data includes water conservancy management data of multiple historical projects from multiple water conservancy management processes. Based on the multi-source data of water conservancy projects, the meteorological similarity range, hydrological similarity range, and monitoring parameter similarity range of water conservancy projects and the first reference data are set. The upper limit of the meteorological similarity range is determined as the current meteorological similarity threshold, the upper limit of the hydrological similarity range is determined as the current hydrological similarity threshold, and the upper limit of the monitoring parameter similarity range is determined as the current monitoring parameter similarity threshold. Based on the current meteorological similarity threshold, the current hydrological similarity threshold, the current monitoring parameter similarity threshold, and the risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and all secondary water conservancy control data of all historical projects in the first reference data, the first type reference data of each type label of each meteorological and hydrological label is determined, and the reference labels of all secondary water conservancy control of all historical projects in the first type reference data are determined as first-level labels; Based on the water conservancy management data of all sub-water conservancy management of all projects without reference labels in the first reference data of each type label of each meteorological and hydrological label, determine the second reference data of each type label of each meteorological and hydrological label; Based on the meteorological similarity range, hydrological similarity range, monitoring parameter similarity range, and the number of water conservancy control data in the first type of reference data for each type of label of each meteorological and hydrological label, and the number of water conservancy control data in the first reference data, the current meteorological similarity threshold, the current hydrological similarity threshold, and the current monitoring parameter similarity threshold are adjusted in a stepwise manner. Based on the current meteorological similarity threshold, current hydrological similarity threshold, current monitoring parameter similarity threshold, risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and water conservancy control data of all secondary water conservancy control in the historical project control data of all historical projects in the second reference data after stepwise reduction, the second type reference data of each type label of each meteorological and hydrological label is iteratively determined, and the reference labels of all secondary water conservancy control in all historical projects in the second type reference data are determined, until any one of the iteration requirements is met. The iteration requirements include: maximum number of iterations, the meteorological similarity threshold range, hydrological similarity threshold range, and monitoring parameter similarity threshold range of the current second type reference data are all lower limits, and the reference labels of all secondary water conservancy control in all historical projects in the first reference data have been determined. Based on the first type of reference data for each type of label of each meteorological and hydrological label and all second type of reference data, the historical reference data for each type of label of each meteorological and hydrological label is determined. The historical reference data includes water conservancy management data from multiple historical projects and reference labels.

[0010] Preferably, a risk management method for water conservancy projects, based on multi-source data of the project and historical reference data of each type of label for each meteorological and hydrological label, calculates reference values ​​of historical reference data for each type of label for each meteorological and hydrological label, including: Feature extraction is performed on the project scale data in the multi-source data of water conservancy projects to determine the scale feature vector and scale feature vector value of water conservancy projects. Based on the scale feature vector of water conservancy projects, feature extraction is performed on the historical scale data of each historical project in the historical project management data of the first reference data to determine the historical scale value vector of each historical project in the first reference data. Based on the risk management cycle and scale characteristic vector of water conservancy projects, as well as the historical reference data of each type of label for each meteorological and hydrological label, the reference value of the historical reference data of each type of label for each meteorological and hydrological label is calculated.

[0011] Preferably, a risk management method for water conservancy projects, based on multi-source project data, historical reference data for each type of label of each meteorological and hydrological label, historical reference data, and reference values, constructs a risk management model for each type of label of each meteorological and hydrological label, and constructs a project management model for the water conservancy project, including: Based on the historical reference data, reference values, and historical management strategies in the periodic management data of all risk management cycles of each meteorological and hydrological label for each type of label, a risk management model for each type of label for each meteorological and hydrological label is constructed. Based on the risk management models of all meteorological and hydrological labels for each type of label and the periodic management data of all periodic labels for the risk management cycle of normal replacement labels, a project management model for water conservancy projects is constructed.

[0012] This invention provides a risk management system for water conservancy projects, used to execute any one of the risk management methods for water conservancy projects in Examples 1 to 7, comprising: Analysis module: Acquires multi-source data of water conservancy projects, analyzes the multi-source data to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of meteorological and hydrological label; Determine the module: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data, determine the historical reference data for each type of label for each meteorological and hydrological label; Calculation module: Based on multi-source data of the project and historical reference data of each type of label for each meteorological and hydrological label, calculate the reference value of the historical reference data of each type of label for each meteorological and hydrological label; Construction Module: Based on multi-source data of the project, historical reference data of each type of label of each meteorological and hydrological label, risk data, historical reference data, and reference values, a risk management model for each type of label of each meteorological and hydrological label is constructed, and a project management model for the water conservancy project is constructed.

[0013] This invention provides a risk management platform for water conservancy projects, used to execute a risk management method for water conservancy projects as described in any one of embodiments 1 to 7.

[0014] The beneficial effects of this invention compared to existing technologies are as follows: By acquiring multi-source data of water conservancy projects, the invention determines the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of meteorological and hydrological label; it also determines the historical reference data and reference values ​​for each type of historical reference data for each meteorological and hydrological label; and constructs a risk management model for each type of meteorological and hydrological label, as well as a project management model for water conservancy projects. This enables precise and systematic risk management, covering risks across all scenarios while focusing risk identification on specific scenarios. It provides high-value experience to support management strategies, shifting management from passive response to proactive prediction, and from extensive management to precise policy implementation, thus providing comprehensive and adaptable technical support for the safe operation of water conservancy projects. At the same time, by leveraging the massive data processing and in-depth analysis capabilities of industrial big data, it is possible to efficiently integrate multi-source data from water conservancy projects, uncover potential correlations between data, and provide more comprehensive data source support for risk identification and model building. Furthermore, by relying on the advantages of multi-source data integration and real-time interaction of industrial internet platforms, it is possible to achieve real-time linkage and sharing of project data, historical data, and control strategies, thereby improving the response speed and collaborative efficiency of risk control and further enhancing the level of intelligence and dynamism in control.

[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a risk management method for a water conservancy project according to an embodiment of the present invention; Figure 2 This is a flowchart of a risk management system for a water conservancy project according to an embodiment of the present invention. Detailed Implementation

[0018] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0019] Example 1: This invention provides a risk management method for water conservancy projects, referring to... Figure 1 ,include: S1: Obtain multi-source data of water conservancy projects, analyze the multi-source data to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix of each type of meteorological and hydrological label; S2: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data obtained, determine the historical reference data of each type of label for each meteorological and hydrological label; S3: Based on the project's multi-source data and the historical reference data of each type of label for each meteorological and hydrological label, calculate the reference value of the historical reference data of each type of label for each meteorological and hydrological label; S4: Based on the project's multi-source data, the type risk data of historical reference data for each type of label of each meteorological and hydrological label, historical reference data, and reference values, construct a risk management model for each type of label of each meteorological and hydrological label, and construct a project management model for the water conservancy project.

[0020] In this embodiment, multi-source data of the water conservancy project is acquired. After acquiring this multi-source data, it is analyzed in depth, categorized and sorted according to different meteorological and hydrological conditions and corresponding risk types, thereby determining the relevant information for each type of label under each meteorological and hydrological label. The risk monitoring parameter vector is a combination of key parameters that need to be monitored for this type of risk, such as rainfall, dam seepage flow, and water level changes. The risk monitoring parameter value matrix represents the specific numerical range of these monitoring parameters under different risk levels.

[0021] In this embodiment, based on the acquired multi-source project data, and the determined type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each meteorological and hydrological label and each type label, combined with multiple acquired historical project management data, historical reference data for the corresponding label combination is determined. The historical project management data covers management records of similar water conservancy projects in similar scenarios. By comparing and matching the current project's data with historical data, historical case data highly correlated with the current project's specific meteorological and hydrological conditions and risk types are selected. These selected effective data constitute the historical reference data for that label combination, providing the current project with valuable past experience.

[0022] In this embodiment, reference values ​​for historical reference data are calculated based on multi-source data from water conservancy projects and historical reference data corresponding to each type of meteorological and hydrological label. The calculation process comprehensively considers the similarity between historical reference data and the current project, such as the degree of similarity in project scale, geological conditions, and meteorological and hydrological environment. The reference value can quantify the reference value of different historical reference data for the current project; the higher the value, the greater the reference significance of the historical case, providing a basis for subsequent model construction strategies.

[0023] In this embodiment, based on multi-source data of the water conservancy project, as well as the historical reference data and calculated reference values ​​for each meteorological and hydrological label and each type label, a risk management model specific to each meteorological and hydrological label and each type label is constructed. Building upon these specialized risk management models, all these specialized models for different scenarios are integrated and summarized, and combined with the overall operational needs of the water conservancy project, a project management model covering the entire water conservancy project is further constructed, achieving comprehensive management of all types of risks across all scenarios of the project.

[0024] The beneficial effects of the above technologies are as follows: By acquiring multi-source data of water conservancy projects, the risk data, risk monitoring parameter vectors, and risk monitoring parameter value matrices for each type of meteorological and hydrological label are determined. Historical reference data and reference values ​​for each type of meteorological and hydrological label are also determined. A risk management model for each type of meteorological and hydrological label is constructed, along with a project management model for the water conservancy project. This enables precise and systematic risk management, covering risks across all scenarios while focusing risk identification on specific scenarios. It provides high-value experience to support management strategies, shifting management from passive response to proactive prediction, and from extensive management to precise policy implementation, thus providing comprehensive and adaptable technical support for the safe operation of water conservancy projects.

[0025] Example 2: Based on Example 1, a risk management method for water conservancy projects is provided, which acquires multi-source data for water conservancy projects, including: Obtain water conservancy project data, which includes at least the project name, project type, project location, project scale data, and engineering structure data. The engineering structure data includes multiple structural parameters and the structural parameter value for each structural parameter. Based on the project location and scale in the basic data of water conservancy projects, obtain the topographic and geological data of water conservancy projects; Based on the project location in the basic project data of water conservancy projects, historical management and control data of water conservancy projects are obtained. The historical management and control data includes period tags and period management and control data for multiple risk management and control periods. Based on water conservancy project data, topographic and geological data, and historical management data, multi-source data for water conservancy projects are determined.

[0026] In this embodiment, water conservancy project data is acquired. This data has a clearly defined scope and must include at least the project name, project type, project location, project scale data, and engineering structure data. The engineering structure data consists of multiple structural parameters and their corresponding values. The project name identifies the water conservancy project; the project type categorizes the project's nature, such as flood control, irrigation engineering, or hydropower station; the project location specifies the exact location of the project; the project scale data describes the project's size, such as the reservoir's capacity, the length and height of the dam; and the structural parameters in the engineering structure data may involve the dam's material type, gate dimensions, etc. The structural parameter values ​​are the specific numerical values ​​of these parameters, such as the strength grade of the dam's concrete and the width and height of the gates.

[0027] In this embodiment, the project location determines the geographical orientation of the project area. Combined with the project scale, the scope and level of detail of the topographic and geological data to be obtained can be determined more accurately. The topographic and geological data includes the topographic and geomorphological features of the project area, such as whether it is a mountain, plain or valley, as well as the geological structure, such as the type of soil, the distribution of rocks and the presence of faults. This data is very important for understanding the geological environment of the project construction and operation, and will directly affect the design and construction of the project as well as subsequent risk assessments.

[0028] In this embodiment, water conservancy project data, topographic and geological data, and historical management and control data are integrated and summarized to form multi-source data of the project, which comprehensively reflects all aspects of the water conservancy project.

[0029] The beneficial effects of the above technologies are: obtaining multi-source data on water conservancy projects can provide comprehensive data support for risk management of water conservancy projects.

[0030] Example 3: Based on Example 2, a risk management method for water conservancy projects, which obtains historical management data of water conservancy projects based on the project location in the basic project data, including: The cycle labels for each risk management cycle of a water conservancy project include normal replacement labels and abnormal replacement labels; If the cycle label for each risk management cycle of a water conservancy project is a normal replacement label, the cycle management data includes historical meteorological data and historical hydrological data; If the cycle label for each risk control cycle of a water conservancy project is an abnormal replacement label, the cycle control data includes risk monitoring data, historical meteorological data, historical hydrological data, historical management strategies, and historical impact data. Among them, the risk monitoring data includes multiple risk monitoring parameters and the risk monitoring value of each risk monitoring parameter. Historical meteorological data includes multiple meteorological parameters and the meteorological parameter value for each meteorological parameter; historical hydrological data includes multiple hydrological parameters and the hydrological parameter value for each hydrological parameter; historical impact data includes multiple impact parameters and the impact parameter value for each impact parameter, as well as impact labels, which include safety, property, and ecology.

[0031] In this embodiment, each risk management cycle of the water conservancy project has a corresponding cycle label, which is divided into normal replacement labels and abnormal replacement labels. The normal replacement label is used to identify risk management cycles that have a smooth transition, while the abnormal replacement label is used to identify cycles that have experienced abnormal situations or risk events. The risk management cycle of the normal replacement label is 7 days long, while the risk management cycle of the abnormal replacement label is less than 7 days long, which may be triggered by sudden events, high temperatures, etc.

[0032] In this embodiment, when the cycle label for each risk management cycle is a normal replacement label, the cycle management data for that cycle includes historical meteorological data and historical hydrological data. The historical meteorological data includes multiple meteorological parameters and the meteorological parameter value for each parameter. Meteorological parameters can be rainfall, temperature, wind speed, etc., and the parameter values ​​are the specific values ​​of these meteorological elements within that cycle. Similarly, the historical hydrological data includes multiple hydrological parameters and the hydrological parameter value for each parameter. Hydrological parameters may include water level, flow rate, flow velocity, etc., and the parameter values ​​record the specific hydrological conditions within that cycle.

[0033] In this embodiment, when the cycle label for each risk management cycle is an abnormal replacement label, the content of the cycle management data is richer, including risk monitoring data, historical meteorological data, historical hydrological data, historical management strategies, and historical impact data. Risk monitoring data consists of multiple monitoring parameters with risks and the risk monitoring value of each parameter. The composition of historical meteorological and hydrological data is similar to that under the normal replacement label, recording the meteorological and hydrological parameters and values ​​within the cycle. Historical management strategies are the various management measures and strategies adopted to address risks within the cycle. Historical impact data includes multiple impact parameters, the impact parameter value for each parameter, and an impact label. Impact parameters measure the various impacts caused by the risk, parameter values ​​are the specific quantification or description of these impacts, and impact labels are divided into three categories: safety, property, and ecology, corresponding to the impacts of the risk on safety, property, and ecology, respectively.

[0034] The beneficial effects of the above technologies are as follows: Based on the project location in the basic data of water conservancy projects, historical management data of water conservancy projects can be obtained, which can achieve precise matching of data collection, provide clear and targeted information support for risk analysis, and improve the effectiveness of data utilization.

[0035] Example 4: Based on Example 3, a risk management method for water conservancy projects analyzes multi-source data of the project to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of meteorological and hydrological label, including: Based on the meteorological parameter values ​​of all meteorological parameters in the historical meteorological data of all risk control cycles with abnormal replacement labels for all cycles of water conservancy projects, and the hydrological parameter values ​​of all hydrological parameters in the historical hydrological data, a first cluster analysis is performed on all risk control cycles with abnormal replacement labels to determine multiple risk meteorological and hydrological data of water conservancy projects and the meteorological and hydrological labels of each risk meteorological and hydrological data. Based on the meteorological parameter values ​​of all meteorological parameters in the historical meteorological data of all risk control cycles in the risk meteorological and hydrological data of each meteorological and hydrological label, the risk meteorological vector of each meteorological and hydrological label is determined. At the same time, based on the hydrological parameter values ​​of all hydrological parameters in the historical meteorological data of all risk control cycles in the risk meteorological and hydrological data of each meteorological and hydrological label, the risk hydrological vector of each meteorological and hydrological label is determined. Based on all risk monitoring parameters, risk monitoring values ​​of each risk monitoring parameter, and all impact parameters and impact parameter values ​​of each impact parameter in the risk monitoring data of all risk control cycles of each meteorological and hydrological label of a water conservancy project, a second cluster analysis is performed on all risk control cycles of the risk meteorological and hydrological data of each meteorological and hydrological label to determine multiple types of risk data for each meteorological and hydrological label and type labels for each type of risk data. Among them, the type of risk data includes the periodic control data of multiple risk control cycles. Based on the influence parameter values ​​of each type of label for each meteorological and hydrological label of a water conservancy project, and the historical influence data in the periodic control data of all risk control cycles, determine the fitted influence value of each influence parameter for each type of label for each meteorological and hydrological label of a water conservancy project. Based on all risk monitoring parameters in the periodic control data of all risk control cycles of each meteorological and hydrological label of each type of label in the type risk data of each meteorological and hydrological label of the water conservancy project, determine the risk monitoring parameter vector of each type of label of each meteorological and hydrological label. Based on the risk monitoring parameter vector of each type label of each meteorological and hydrological label, and the risk monitoring values ​​of all risk monitoring parameters in the periodic control data of all risk control cycles in the type risk data, the fitted risk range of each risk monitoring parameter in the risk monitoring parameter vector of each type label of each meteorological and hydrological label is determined. Based on the fitted risk range of all risk monitoring parameters in the risk monitoring parameter vector of each type of label for each meteorological and hydrological label, the risk monitoring parameter value matrix of each type of label for each meteorological and hydrological label is determined.

[0036] In this embodiment, cluster analysis is performed on historical meteorological and hydrological data for all risk management cycles with abnormal cycle labels. Meteorological data includes various meteorological parameters such as temperature, precipitation, and wind speed, while hydrological data includes parameters such as river water level and flow rate. After cluster analysis, similar meteorological and hydrological data can be categorized into different risk meteorological and hydrological data, with each data category corresponding to a meteorological and hydrological label. For example, a meteorological and hydrological label could be "heavy rain with high water levels" or "drought with low flow rates."

[0037] In this embodiment, risk management cycles with abnormal replacement labels in all water conservancy projects are used as the analysis object. The specific values ​​of all meteorological parameters in the historical meteorological data and all hydrological parameters in the historical hydrological data of these cycles are collected. These data are then used to conduct a first cluster analysis on these risk management cycles with abnormal replacement labels. The purpose of cluster analysis is to group cycles with similar meteorological and hydrological characteristics into one category. Through this analysis, multiple risk meteorological and hydrological data points for the water conservancy project can be identified, and each risk meteorological and hydrological data point can be assigned a corresponding meteorological and hydrological label to distinguish different meteorological and hydrological risk scenarios.

[0038] In this embodiment, for the risk meteorological and hydrological data corresponding to each meteorological and hydrological label, the values ​​of all meteorological parameters in the historical meteorological data of all risk management periods are extracted. Based on these values, the risk meteorological vector corresponding to that meteorological and hydrological label is determined. The risk meteorological vector is a comprehensive representation of this type of meteorological characteristic. Simultaneously, also based on the values ​​of all hydrological parameters in the historical hydrological data of all risk management periods within the risk meteorological and hydrological data of each meteorological and hydrological label, the risk hydrological vector corresponding to each meteorological and hydrological label is determined. The risk hydrological vector comprehensively reflects this type of hydrological characteristic.

[0039] In this embodiment, based on the risk meteorological and hydrological data of each meteorological and hydrological label of a water conservancy project, including all risk monitoring parameters and their corresponding risk monitoring values ​​in the risk monitoring data of all risk management cycles, as well as all impact parameters and their corresponding impact parameter values ​​in the historical impact data, a second cluster analysis is performed on all risk management cycles under each meteorological and hydrological label. This clustering aims to further classify different risk types under the same meteorological and hydrological label according to risk monitoring and impact, thereby identifying multiple types of risk data under each meteorological and hydrological label and labeling each type of risk data. Each type of risk data contains cycle management data for multiple risk management cycles, thus refining the specific categories of risks. For example, certain meteorological conditions may lead to problems such as soil subsidence and decreased structural stability, while other conditions may lead to ecological problems such as water pollution.

[0040] In this embodiment, for each type of label of each meteorological and hydrological label of a water conservancy project, the influence parameter values ​​of each influence parameter in the historical influence data of all risk control cycles are collected. By processing these values, the fitted influence value of each influence parameter under each type of label of each meteorological and hydrological label is determined. The fitted influence value is a comprehensive reflection of the influence parameter under a specific risk type. The fitted influence value can be calculated by calculating the average value or quartiles, etc.

[0041] In this embodiment, all risk monitoring parameters are extracted from the risk data of each type of meteorological and hydrological label of each water conservancy project, and all risk monitoring parameters are extracted from the periodic control data of all risk control cycles. All extracted risk monitoring parameters are organized to determine the risk monitoring parameter vector corresponding to each type of label of each meteorological and hydrological label. This vector contains all the key parameters used to monitor this type of risk.

[0042] In this embodiment, by combining the risk monitoring parameter vector of each type of label for each meteorological and hydrological label, and the risk monitoring values ​​of all risk monitoring parameters in the periodic control data of all risk control cycles in the risk data of that type, and by analyzing the distribution of these values, the fitted risk range of each risk monitoring parameter in the risk monitoring parameter vector of each type of label for each meteorological and hydrological label is determined. The fitted risk range reflects the range of risk values ​​that the parameter may have under the corresponding risk type. The minimum and maximum values ​​among all risk monitoring values ​​of each risk monitoring parameter can be directly taken as the fitted risk range, or the all risk monitoring values ​​of each risk monitoring parameter can be sorted from smallest to largest, and the range of values ​​after sorting can be taken. This serves as the range of fitting risk.

[0043] In this embodiment, based on the fitted risk range of all risk monitoring parameters in the risk monitoring parameter vector of each type of label for each meteorological and hydrological label, these ranges are integrated and sorted out to determine the risk monitoring parameter value matrix of each type of label for each meteorological and hydrological label. This matrix system presents the risk value range of various risk monitoring parameters. Each column of the risk monitoring parameter value matrix represents the range of a risk monitoring parameter. The first row of the risk monitoring parameter value matrix represents the lower limit of the parameter value of all risk monitoring parameters, and the second row of the risk monitoring parameter value matrix represents the upper limit of the parameter value of all risk monitoring parameters.

[0044] The beneficial effects of the above technologies are as follows: by analyzing multi-source data of the project, the risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix of each type of label for each meteorological and hydrological label can be determined, which can realize the systematic sorting of risk parameters and provide a structured and refined data foundation for risk identification and control.

[0045] Example 5: Based on Example 4, a risk management method for water conservancy projects, based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data, determines historical reference data for each type of label for each meteorological and hydrological label, including: Based on the project types in the multi-source data of water conservancy projects and the structural parameter values ​​of all structural parameters in the engineering structure data, historical project management data of multiple historical projects are obtained. The historical project management data includes historical geological and topographical data, historical management cycles, historical scale data, multiple water conservancy managements, and water conservancy management data for each water conservancy management. The water conservancy management data includes management meteorological vectors, management hydrological vectors, management monitoring parameter vectors, management monitoring parameter value vectors, executed management strategies, and management impact data. Feature extraction is performed on the topographic and geological data in the multi-source data of water conservancy projects to determine the geological and topographic feature vector and the geological and topographic feature value vector of the water conservancy projects. Based on the geological and topographic feature vectors of water conservancy projects, feature extraction is performed on the historical geological and topographic data in the historical project management data of each historical project to determine the historical geological and topographic feature value vector of each historical project. Analyze the geological and topographic feature vectors of water conservancy projects and the historical geological and topographic feature vectors of historical project control data for each historical project to determine the geological and topographic similarity value between water conservancy projects and each historical project. The geological and topographical similarity values ​​of the historical project management data of water conservancy projects and each historical project are compared with the preset similarity threshold. Based on the historical project management data with topographical and geological similarity values ​​greater than the preset similarity threshold, the first reference data of water conservancy projects is determined. The first reference data includes water conservancy management data of multiple historical projects from multiple water conservancy management processes. Based on the multi-source data of water conservancy projects, the meteorological similarity range, hydrological similarity range, and monitoring parameter similarity range of water conservancy projects and the first reference data are set. The upper limit of the meteorological similarity range is determined as the current meteorological similarity threshold, the upper limit of the hydrological similarity range is determined as the current hydrological similarity threshold, and the upper limit of the monitoring parameter similarity range is determined as the current monitoring parameter similarity threshold. Based on the current meteorological similarity threshold, the current hydrological similarity threshold, the current monitoring parameter similarity threshold, and the risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and all secondary water conservancy control data of all historical projects in the first reference data, the first type reference data of each type label of each meteorological and hydrological label is determined, and the reference labels of all secondary water conservancy control of all historical projects in the first type reference data are determined as first-level labels; Based on the water conservancy management data of all sub-water conservancy management of all projects without reference labels in the first reference data of each type label of each meteorological and hydrological label, determine the second reference data of each type label of each meteorological and hydrological label; Based on the meteorological similarity range, hydrological similarity range, monitoring parameter similarity range, and the number of water conservancy control data in the first type of reference data for each type of label of each meteorological and hydrological label, and the number of water conservancy control data in the first reference data, the current meteorological similarity threshold, the current hydrological similarity threshold, and the current monitoring parameter similarity threshold are adjusted in a stepwise manner. Based on the current meteorological similarity threshold, current hydrological similarity threshold, current monitoring parameter similarity threshold, risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and water conservancy control data of all secondary water conservancy control in the historical project control data of all historical projects in the second reference data after stepwise reduction, the second type reference data of each type label of each meteorological and hydrological label is iteratively determined, and the reference labels of all secondary water conservancy control in all historical projects in the second type reference data are determined, until any one of the iteration requirements is met. The iteration requirements include: maximum number of iterations, the meteorological similarity threshold range, hydrological similarity threshold range, and monitoring parameter similarity threshold range of the current second type reference data are all lower limits, and the reference labels of all secondary water conservancy control in all historical projects in the first reference data have been determined. Based on the first type of reference data for each type of label of each meteorological and hydrological label and all second type of reference data, the historical reference data for each type of label of each meteorological and hydrological label is determined. The historical reference data includes water conservancy management data from multiple historical projects and reference labels.

[0046] In this embodiment, based on the multi-source data of water conservancy projects, the project type (e.g., flood control, irrigation, or hydropower station) and the specific values ​​of all structural parameters (e.g., dam concrete strength grade, gate size) are used to obtain historical project management data for multiple historical projects. This historical project management data includes historical geological and topographical data (geological structure, topography, and geomorphological information of the area where the historical project was located), historical management cycles, historical scale data (e.g., historical reservoir capacity, historical dam length and height), multiple water conservancy management records, and the corresponding water conservancy management data for each management operation. The water conservancy management data is further subdivided into management meteorological vectors (combinations of meteorological parameters at the time of management), management hydrological vectors (combinations of hydrological parameters at the time of management), management monitoring parameter vectors (multiple risk monitoring parameters monitored at the time of management), management monitoring parameter value vectors (the specific values ​​of these monitoring parameters), execution management strategies (risk response measures taken at the time), and management impact data (records of the effects or impacts of the management measures implemented).

[0047] In this embodiment, feature extraction is performed on the topographic and geological data in the multi-source data of the water conservancy project. This process involves filtering out information that can represent the key geological and topographic characteristics of the project from the topographic and geological data, such as soil type, rock distribution, groundwater depth, and topographic slope. Based on this information, the geological and topographic feature vector of the water conservancy project is determined, which is the combination sequence of these key characteristics. At the same time, the geological and topographic feature value vector of the project is determined, which is the specific value corresponding to each key characteristic.

[0048] In this embodiment, the geological and topographic feature vector of the water conservancy project is used as the extraction standard. The same feature extraction is performed on the historical geological and topographic data in the historical project management data of each historical project. From the historical geological and topographic data of each historical project, the key characteristic information corresponding to the geological and topographic feature vector of the current project is selected, and the historical geological and topographic feature value vector of each historical project is determined, which is the specific value of each historical project on these key characteristics.

[0049] In this embodiment, the geological and topographic feature vectors of the water conservancy project and the historical geological and topographic feature vectors of each historical project are analyzed. By comparing the degree of difference between the two in various key characteristic values, such as calculating the numerical similarity or the percentage difference, the geological and topographic similarity value between the water conservancy project and each historical project is determined. This similarity value is used to measure the degree of similarity between the current project and the historical project in terms of geological and topographic conditions.

[0050] In this embodiment, the geological and topographical similarity values ​​of the management data of the water conservancy project and each historical project are compared with a pre-set similarity threshold. If the geological and topographical similarity value of a historical project is greater than the preset similarity threshold, it indicates that the geological and topographical conditions of the historical project are relatively similar to those of the current project, and its management data has high reference value. The management data of these historical projects with geological and topographical similarity values ​​greater than the preset similarity threshold are then determined as the first reference data for the water conservancy project. The first reference data specifically includes multiple water conservancy management data from various historical projects that meet the criteria. The preset similarity threshold ranges from 0.7 to 0.9. If the water conservancy project is a geologically sensitive project, such as a water conservancy project with its dam foundation located in a soft soil area or near a fault zone, or a high-risk project (such as a large reservoir or an inter-basin water transfer project), the preset similarity threshold can be set to 0.85. For conventional projects with relatively stable geological conditions, such as irrigation canals and small pumping stations in plains areas, the geological and topographical differences have a smaller impact on the management effect. Therefore, the threshold can be appropriately lowered to expand the range of reference data and avoid a decrease in reference value due to insufficient sample size; a value of 0.7 can be used for these projects.

[0051] In this embodiment, the meteorological similarity range between the water conservancy project and the first reference data (i.e., the allowable difference range in meteorological parameters), the hydrological similarity range (i.e., the allowable difference range in hydrological parameters), and the monitoring parameter similarity range (i.e., the allowable difference range in monitoring parameters) can be determined by historical samples, engineering tolerance, and false alarm / missed alarm costs. The meteorological similarity threshold can be in the range of 0.85-0.9, the hydrological similarity threshold can be in the range of 0.8-0.88, and the monitoring similarity threshold can be in the range of 0.88-0.95.

[0052] In this embodiment, based on the predefined similarity range, the upper limit of the meteorological similarity range is determined to be the current meteorological similarity threshold. This threshold is the highest standard for judging whether meteorological parameters are similar. The upper limit of the hydrological similarity range is determined to be the current hydrological similarity threshold, which is used as the highest standard for judging whether hydrological parameters are similar. At the same time, the upper limit of the monitoring parameter similarity range is determined to be the current monitoring parameter similarity threshold, which is used as the highest standard for judging whether monitoring parameters are similar.

[0053] In this embodiment, based on the current meteorological similarity threshold, the current hydrological similarity threshold, the current monitoring parameter similarity threshold, and the risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and all secondary water conservancy management data in the historical project management data of all historical projects in the first reference data, the first type reference data for each type label of each meteorological and hydrological label is determined. The calculation formula is expressed as follows: ; This represents the type reference data for the j-th type tag of the i-th meteorological and hydrological tag. J1, J2, J3, and J4 represent the first, second, third, and fourth judgment logics, respectively. This represents the risk meteorological vector of the j-th type label for the i-th meteorological and hydrological label. This represents the risk hydrological vector of the j-th type label for the i-th meteorological and hydrological label. This represents the risk monitoring parameter vector of the j-th type label for the i-th meteorological and hydrological label. This represents the k-th risk monitoring parameter in the risk monitoring parameter vector of the j-th type label for the i-th meteorological and hydrological label. This represents the lower limit of the parameter value of the k-th risk monitoring parameter in the risk monitoring parameter value matrix of the j-th type label of the i-th meteorological and hydrological label. This represents the upper limit of the parameter value of the k-th risk monitoring parameter in the risk monitoring parameter value matrix of the j-th type label of the i-th meteorological and hydrological label, 1 k ijN1, where ijN1 represents the number of monitoring parameters in the risk monitoring parameter vector of the j-th type label of the i-th meteorological and hydrological label. The water conservancy management data for the bth water conservancy management event within the historical project management data of the a-th historical project in the first reference data. This represents the meteorological control vector in the water conservancy control data of the bth water conservancy control event within the historical project control data of the a-th historical project in the first reference data. This represents the control hydrological vector in the water conservancy control data of the bth water conservancy control session within the historical control data of the a-th historical project in the first reference data. This represents the vector of control and monitoring parameters in the water conservancy control data of the bth water conservancy control instance within the historical control data of the a-th historical project in the first reference data. This represents the c-th monitoring parameter in the control monitoring parameter vector of the b-th water conservancy control data within the historical project control data of the a-th historical project in the first reference data. TH1 represents the current meteorological similarity threshold, TH2 represents the current hydrological similarity threshold, and TH3 represents the current monitoring parameter similarity threshold.

[0054] In this embodiment, reference labels are marked for all historical projects and all sub-water conservancy management in the first type of reference data, and these are uniformly marked as first-level labels to identify the reference level of these data.

[0055] In this embodiment, in the first reference data of each type of label of each meteorological and hydrological label, there are some historical projects whose water conservancy management data have not yet been labeled with reference labels. For the water conservancy management data of all projects without reference labels, the data is extracted separately and determined as the second reference data of each type of label of each meteorological and hydrological label.

[0056] In this embodiment, based on the previously set meteorological similarity range, hydrological similarity range, and monitoring parameter similarity range, and combined with the actual number of water conservancy control data in the first type of reference data for each type of meteorological and hydrological label, as well as the total number of water conservancy control data in the first reference data, it is analyzed whether the amount of effective data selected under the current threshold is sufficient. If the amount of data is too small to meet the reference requirements, the current meteorological similarity threshold, current hydrological similarity threshold, and current monitoring parameter similarity threshold are lowered in a stepwise manner, that is, the threshold standard is reduced by a fixed amount each time to expand the similarity range so as to include more historical data that may meet the conditions.

[0057] In this embodiment, the value range of the step-down adjustment can be 0.02-0.04. If the amount of valid data filtered under the current threshold is insufficient and cannot meet the reference requirements, and the gap is large, the value of the step-down adjustment can be slightly larger.

[0058] In this embodiment, based on the new current meteorological similarity threshold, current hydrological similarity threshold, and current monitoring parameter similarity threshold after a step-down adjustment, and combined with the risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, and type risk data of each type label for each meteorological and hydrological tag, as well as the water conservancy management data of all secondary water conservancy management in the historical project management data of all historical projects in the second reference data, data matching and filtering are performed again. The second type of reference data for each type label of each meteorological and hydrological tag is iteratively determined. Reference labels are then labeled for all secondary water conservancy management of all historical projects in the second type of reference data, uniformly labeled as secondary labels (or tertiary labels if it is the second iteration). This iterative process is repeated until any one of the iteration requirements is met. The iteration requirements specifically include three aspects: first, reaching the preset maximum number of iterations, preventing indefinite iteration; second, the meteorological similarity threshold range, hydrological similarity threshold range, and monitoring parameter similarity threshold range corresponding to the current second type of reference data have all been reduced to the set lower limit and cannot be further reduced; and third, all secondary water conservancy management of all historical projects in the first reference data have been labeled with reference labels, with no data omissions.

[0059] In this embodiment, the first type of reference data for each type of label of each meteorological and hydrological label, as well as the second type of reference data determined in all subsequent iterations, are integrated together to form complete historical reference data for each type of label of each meteorological and hydrological label. This historical reference data includes water conservancy management data for multiple historical projects and reference labels corresponding to each water conservancy management.

[0060] The beneficial effects of the above technologies are as follows: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data, historical reference data for each type of label for each meteorological and hydrological label can be determined. This can ensure a high correlation between historical reference data and water conservancy projects, provide comprehensive and suitable historical basis for risk management, and improve the accuracy and completeness of reference data utilization.

[0061] Example 6: Based on Example 5, a risk management method for water conservancy projects, based on multi-source project data and historical reference data for each type of label of each meteorological and hydrological label, calculates the reference value of the historical reference data for each type of label of each meteorological and hydrological label, including: Feature extraction is performed on the project scale data in the multi-source data of water conservancy projects to determine the scale feature vector and scale feature vector value of water conservancy projects. Based on the scale feature vector of water conservancy projects, feature extraction is performed on the historical scale data of each historical project in the historical project management data of the first reference data to determine the historical scale value vector of each historical project in the first reference data. Based on the risk management cycle and scale characteristic vector of water conservancy projects, as well as the historical reference data of each type of label for each meteorological and hydrological label, the reference value of the historical reference data of each type of label for each meteorological and hydrological label is calculated.

[0062] In this embodiment, for multi-source data of water conservancy projects, project scale data is filtered out. This data covers key information that reflects the size and capacity of the project, such as the total reservoir capacity, dam length, total length of canals, design flow rate, installed capacity of pumping stations, and irrigated area of ​​irrigation projects. Then, feature extraction is performed on this project scale data. This process selects the parameters that best represent the essential characteristics of the project scale from the complex scale data. For example, total reservoir capacity, length, height, and design flow rate are used as core features. These selected core features are combined to form the scale feature vector of the water conservancy project. Simultaneously, specific values ​​are assigned to each core feature, such as a total reservoir capacity of 50 million cubic meters, a dam height of 25 meters, and a canal design flow rate of 30 cubic meters per second. These specific values ​​are arranged in order of their corresponding features to constitute the scale feature vector value of the water conservancy project, which accurately quantifies the specific situation of the project in each scale feature.

[0063] In this embodiment, the scale feature vector of water conservancy projects is used as a standard template. This means clearly defining which common feature parameters need to be extracted from historical project scale data. Feature extraction is performed on the historical scale data of each historical project in the first reference data. According to the feature list of the current project scale feature vector, corresponding feature parameters are extracted from the historical scale data of each historical project, and the specific value of each feature parameter is determined. These values ​​are arranged in feature order, forming the historical scale value vector of each historical project in the first reference data.

[0064] In this embodiment, based on the risk management cycle and scale characteristic vector of the water conservancy project, and the historical reference data of each type of label for each meteorological and hydrological label, the reference value of the historical reference data of each type of label for each meteorological and hydrological label is calculated. The calculation formula can be expressed as follows: ; in, This represents the reference value of the j-th type label for the i-th meteorological and hydrological label. This represents the scale sub-reference value of the j-th type label for the i-th meteorological and hydrological label. This represents the reference tag sub-reference value of the j-th type tag of the i-th meteorological and hydrological tag. This represents the periodic sub-reference value of the j-th type label for the i-th meteorological and hydrological label. Let represent the sub-reference value of the impact of the j-th type label of the i-th meteorological and hydrological label, PS represent the vector of scale characteristic values ​​of the water conservancy project, and CL represent the length of the risk control period in the historical control data of the water conservancy project where the periodic label is a normal replacement label. This represents the fitted influence value of the nth influencing parameter of the jth type label for the i-th meteorological and hydrological label. This represents the influence label of the nth influencing parameter of the jth type label of the i-th meteorological and hydrological label. N represents the weight of the nth influencing parameter of the jth type label of the i-th meteorological and hydrological label, and N3 represents the number of influencing parameters. This represents the reference label for the m-th water conservancy control operation in the historical reference data of the j-th type label of the i-th meteorological and hydrological label. This represents the vector of historical scale values ​​corresponding to the m-th water conservancy control operation in the historical reference data of the j-th type label of the i-th meteorological and hydrological label. Let Nij represent the length of the historical control period corresponding to the m-th water conservancy control operation in the historical reference data of the j-th type label of the i-th meteorological and hydrological label, and let Nij represent the number of control impact data in the historical reference data of the j-th type label of the i-th meteorological and hydrological label. This represents the historical impact value of the nth impact parameter in the water management impact data of the mth water management control in the historical reference data of the jth type label of the i-th meteorological and hydrological label.

[0065] The beneficial effects of the above technologies are as follows: Based on the project's multi-source data and the historical reference data of each type of label for each meteorological and hydrological label, the reference value of the historical reference data of each type of label for each meteorological and hydrological label can be calculated, which can ensure the adaptability of the historical reference data at the scale level, improve the pertinence and effectiveness of the historical reference data, and provide a more quantitative basis for risk management that is more in line with the actual scale and cycle of the project.

[0066] Example 7: Based on Example 6, a risk management method for water conservancy projects is proposed. This method constructs a risk management model for each type of label within each meteorological and hydrological label, based on multi-source project data, historical reference data for each type of label under each meteorological and hydrological label, historical reference data, and reference values. It also constructs a project management model for the water conservancy project, including: Based on the historical reference data, reference values, and historical management strategies in the periodic management data of all risk management cycles of each meteorological and hydrological label for each type of label, a risk management model for each type of label for each meteorological and hydrological label is constructed. Based on the risk management models of all meteorological and hydrological labels for each type of label and the periodic management data of all periodic labels for the risk management cycle of normal replacement labels, a project management model for water conservancy projects is constructed.

[0067] In this embodiment, historical experience under specific meteorological and hydrological conditions and risk types is transformed into actionable management logic. It starts with historical reference data, combines the reference values ​​of historical reference data, and extracts historical management strategies from the periodic management data of risk control cycles in the type risk data of historical reference data. Then, it associates the risk feature value vectors in historical reference data with historical management strategies to clarify which strategies should be used under different risk characteristics and which type of strategy should be prioritized. Finally, it solidifies into a model, so that when the model encounters corresponding meteorological and hydrological conditions and risk types, it can automatically match effective strategies from historical experience to achieve precise risk response.

[0068] In this embodiment, different meteorological and hydrological conditions can trigger different types of risks. Each specialized risk management model targets a specific risk scenario. Integrating these specialized models can cover all types of risk scenarios that may be encountered during project operation. Simultaneously, it is also necessary to incorporate periodic management data for all risk management cycles labeled as "normal replacement." The period corresponding to the "normal replacement" label represents the regular phase of project operation where no abnormal risks have occurred. By combining the specialized risk management models with the management data from normal cycles, the constructed project management model can respond promptly after risk identification, ensuring that the project has scientific and reasonable management solutions to support risk response, thereby improving the overall operational stability and risk resilience of the project.

[0069] The beneficial effects of the above technologies are as follows: based on multi-source data of the project, the type risk data of historical reference data of each type of label of each meteorological and hydrological label, historical reference data, and reference values, a risk management model of each type of label of each meteorological and hydrological label is constructed, and a project management model of water conservancy project is constructed.

[0070] Example 8: This invention provides a risk management system for water conservancy projects, used to execute any one of the risk management methods for water conservancy projects in Examples 1 to 7, with reference to... Figure 2 ,include: Analysis module: Acquires multi-source data of water conservancy projects, analyzes the multi-source data to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of meteorological and hydrological label; Determine the module: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data, determine the historical reference data for each type of label for each meteorological and hydrological label; Calculation module: Based on multi-source data of the project and historical reference data of each type of label for each meteorological and hydrological label, calculate the reference value of the historical reference data of each type of label for each meteorological and hydrological label; Construction Module: Based on multi-source data of the project, historical reference data of each type of label of each meteorological and hydrological label, risk data, historical reference data, and reference values, a risk management model for each type of label of each meteorological and hydrological label is constructed, and a project management model for the water conservancy project is constructed.

[0071] Example 9: The present invention provides a risk management platform for water conservancy projects, which is used to execute any one of the risk management methods for water conservancy projects in Examples 1 to 7.

[0072] The beneficial effects of the above technologies are as follows: By acquiring multi-source data of water conservancy projects, the risk data, risk monitoring parameter vectors, and risk monitoring parameter value matrices for each type of meteorological and hydrological label are determined. Historical reference data and reference values ​​for each type of meteorological and hydrological label are also determined. A risk management model for each type of meteorological and hydrological label is constructed, along with a project management model for the water conservancy project. This enables precise and systematic risk management, covering risks across all scenarios while focusing risk identification on specific scenarios. It provides high-value experience to support management strategies, shifting management from passive response to proactive prediction, and from extensive management to precise policy implementation, thus providing comprehensive and adaptable technical support for the safe operation of water conservancy projects.

[0073] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A risk management method for water conservancy projects, characterized in that, include: S1: Obtain multi-source data of water conservancy projects, analyze the multi-source data to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix of each type of meteorological and hydrological label; S2: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data obtained, determine the historical reference data of each type of label for each meteorological and hydrological label; S3: Based on the project's multi-source data and the historical reference data of each type of label for each meteorological and hydrological label, calculate the reference value of the historical reference data of each type of label for each meteorological and hydrological label; S4: Based on the project's multi-source data, the type risk data of historical reference data for each type of label of each meteorological and hydrological label, historical reference data, and reference values, construct a risk management model for each type of label of each meteorological and hydrological label, and construct a project management model for the water conservancy project.

2. The risk management method for water conservancy projects according to claim 1, characterized in that, Obtain multi-source data for water conservancy projects, including: Obtain water conservancy project data, which includes at least the project name, project type, project location, project scale data, and engineering structure data. The engineering structure data includes multiple structural parameters and the structural parameter value for each structural parameter. Based on the project location and scale in the basic data of water conservancy projects, obtain the topographic and geological data of water conservancy projects; Based on the project location in the basic project data of water conservancy projects, historical management and control data of water conservancy projects are obtained. The historical management and control data includes period tags and period management and control data for multiple risk management and control periods. Based on water conservancy project data, topographic and geological data, and historical management data, multi-source data for water conservancy projects are determined.

3. The risk management method for water conservancy projects according to claim 2, characterized in that, Based on the project location in the basic project data of water conservancy projects, obtain the historical management and control data of water conservancy projects, including: The cycle labels for each risk management cycle of a water conservancy project include normal replacement labels and abnormal replacement labels; If the cycle label for each risk management cycle of a water conservancy project is a normal replacement label, the cycle management data includes historical meteorological data and historical hydrological data; If the cycle label for each risk control cycle of a water conservancy project is an abnormal replacement label, the cycle control data includes risk monitoring data, historical meteorological data, historical hydrological data, historical management strategies, and historical impact data. Among them, the risk monitoring data includes multiple risk monitoring parameters and the risk monitoring value of each risk monitoring parameter. Historical meteorological data includes multiple meteorological parameters and the meteorological parameter value for each meteorological parameter; historical hydrological data includes multiple hydrological parameters and the hydrological parameter value for each hydrological parameter; historical impact data includes multiple impact parameters and the impact parameter value for each impact parameter, as well as impact labels, which include safety, property, and ecology.

4. The risk management method for water conservancy projects according to claim 3, characterized in that, The analysis of multi-source data for the project determined the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of label under each meteorological and hydrological label, including: Based on the meteorological parameter values ​​of all meteorological parameters in the historical meteorological data of all risk control cycles with abnormal replacement labels for all cycles of water conservancy projects, and the hydrological parameter values ​​of all hydrological parameters in the historical hydrological data, a first cluster analysis is performed on all risk control cycles with abnormal replacement labels to determine multiple risk meteorological and hydrological data of water conservancy projects and the meteorological and hydrological labels of each risk meteorological and hydrological data. Based on the meteorological parameter values ​​of all meteorological parameters in the historical meteorological data of all risk control cycles in the risk meteorological and hydrological data of each meteorological and hydrological label, the risk meteorological vector of each meteorological and hydrological label is determined. At the same time, based on the hydrological parameter values ​​of all hydrological parameters in the historical meteorological data of all risk control cycles in the risk meteorological and hydrological data of each meteorological and hydrological label, the risk hydrological vector of each meteorological and hydrological label is determined. Based on all risk monitoring parameters, risk monitoring values ​​of each risk monitoring parameter, and all impact parameters and impact parameter values ​​of each impact parameter in the risk monitoring data of all risk control cycles of each meteorological and hydrological label of a water conservancy project, a second cluster analysis is performed on all risk control cycles of the risk meteorological and hydrological data of each meteorological and hydrological label to determine multiple types of risk data for each meteorological and hydrological label and type labels for each type of risk data. Among them, the type of risk data includes the periodic control data of multiple risk control cycles. Based on the influence parameter values ​​of each type of label for each meteorological and hydrological label of a water conservancy project, and the historical influence data in the periodic control data of all risk control cycles, determine the fitted influence value of each influence parameter for each type of label for each meteorological and hydrological label of a water conservancy project. Based on all risk monitoring parameters in the periodic control data of all risk control cycles of each meteorological and hydrological label of each type of label in the type risk data of each meteorological and hydrological label of the water conservancy project, determine the risk monitoring parameter vector of each type of label of each meteorological and hydrological label. Based on the risk monitoring parameter vector of each type label of each meteorological and hydrological label, and the risk monitoring values ​​of all risk monitoring parameters in the periodic control data of all risk control cycles in the type risk data, the fitted risk range of each risk monitoring parameter in the risk monitoring parameter vector of each type label of each meteorological and hydrological label is determined. Based on the fitted risk range of all risk monitoring parameters in the risk monitoring parameter vector of each type of label for each meteorological and hydrological label, the risk monitoring parameter value matrix of each type of label for each meteorological and hydrological label is determined.

5. The risk management method for water conservancy projects according to claim 4, characterized in that, Based on multi-source project data, type risk data for each type of label under each meteorological and hydrological label, risk monitoring parameter vectors, risk monitoring parameter value matrices, and multiple historical project management data obtained, historical reference data for each type of label under each meteorological and hydrological label is determined, including: Based on the project types in the multi-source data of water conservancy projects and the structural parameter values ​​of all structural parameters in the engineering structure data, historical project management data of multiple historical projects are obtained. The historical project management data includes historical geological and topographical data, historical management cycles, historical scale data, multiple water conservancy managements, and water conservancy management data for each water conservancy management. The water conservancy management data includes management meteorological vectors, management hydrological vectors, management monitoring parameter vectors, management monitoring parameter value vectors, executed management strategies, and management impact data. Feature extraction is performed on the topographic and geological data in the multi-source data of water conservancy projects to determine the geological and topographic feature vector and the geological and topographic feature value vector of the water conservancy projects. Based on the geological and topographic feature vectors of water conservancy projects, feature extraction is performed on the historical geological and topographic data in the historical project management data of each historical project to determine the historical geological and topographic feature value vector of each historical project. Analyze the geological and topographic feature vectors of water conservancy projects and the historical geological and topographic feature vectors of historical project control data for each historical project to determine the geological and topographic similarity value between water conservancy projects and each historical project. The geological and topographical similarity values ​​of the historical project management data of water conservancy projects and each historical project are compared with the preset similarity threshold. Based on the historical project management data with topographical and geological similarity values ​​greater than the preset similarity threshold, the first reference data of water conservancy projects is determined. The first reference data includes water conservancy management data of multiple historical projects from multiple water conservancy management processes. Based on the multi-source data of water conservancy projects, the meteorological similarity range, hydrological similarity range, and monitoring parameter similarity range of water conservancy projects and the first reference data are set. The upper limit of the meteorological similarity range is determined as the current meteorological similarity threshold, the upper limit of the hydrological similarity range is determined as the current hydrological similarity threshold, and the upper limit of the monitoring parameter similarity range is determined as the current monitoring parameter similarity threshold. Based on the current meteorological similarity threshold, the current hydrological similarity threshold, the current monitoring parameter similarity threshold, and the risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and all secondary water conservancy control data of all historical projects in the first reference data, the first type reference data of each type label of each meteorological and hydrological label is determined, and the reference labels of all secondary water conservancy control of all historical projects in the first type reference data are determined as first-level labels; Based on the water conservancy management data of all sub-water conservancy management of all projects without reference labels in the first reference data of each type label of each meteorological and hydrological label, determine the second reference data of each type label of each meteorological and hydrological label; Based on the meteorological similarity range, hydrological similarity range, monitoring parameter similarity range, and the number of water conservancy control data in the first type of reference data for each type of label of each meteorological and hydrological label, and the number of water conservancy control data in the first reference data, the current meteorological similarity threshold, the current hydrological similarity threshold, and the current monitoring parameter similarity threshold are adjusted in a stepwise manner. Based on the current meteorological similarity threshold, current hydrological similarity threshold, current monitoring parameter similarity threshold, risk meteorological vector, risk hydrological vector, risk monitoring parameter vector, risk monitoring parameter value matrix, type risk data, and water conservancy control data of all secondary water conservancy control in the historical project control data of all historical projects in the second reference data after stepwise reduction, the second type reference data of each type label of each meteorological and hydrological label is iteratively determined, and the reference labels of all secondary water conservancy control in all historical projects in the second type reference data are determined, until any one of the iteration requirements is met. The iteration requirements include: maximum number of iterations, the meteorological similarity threshold range, hydrological similarity threshold range, and monitoring parameter similarity threshold range of the current second type reference data are all lower limits, and the reference labels of all secondary water conservancy control in all historical projects in the first reference data have been determined. Based on the first type of reference data for each type of label of each meteorological and hydrological label and all second type of reference data, the historical reference data for each type of label of each meteorological and hydrological label is determined. The historical reference data includes water conservancy management data from multiple historical projects and reference labels.

6. The risk management method for water conservancy projects according to claim 5, characterized in that, Based on multi-source data from the project and historical reference data for each type of label within each meteorological and hydrological label, reference values ​​for the historical reference data of each type of label within each meteorological and hydrological label are calculated, including: Feature extraction is performed on the project scale data in the multi-source data of water conservancy projects to determine the scale feature vector and scale feature vector value of water conservancy projects. Based on the scale feature vector of water conservancy projects, feature extraction is performed on the historical scale data of each historical project in the historical project management data of the first reference data to determine the historical scale value vector of each historical project in the first reference data. Based on the risk management cycle and scale characteristic vector of water conservancy projects, as well as the historical reference data of each type of label for each meteorological and hydrological label, the reference value of the historical reference data of each type of label for each meteorological and hydrological label is calculated.

7. The risk management method for water conservancy projects according to claim 6, characterized in that, Based on multi-source project data, historical reference data for each type of label under each meteorological and hydrological label, risk management models for each type of label under each meteorological and hydrological label are constructed, along with project management models for water conservancy projects, including: Based on the historical reference data, reference values, and historical management strategies in the periodic management data of all risk management cycles of each meteorological and hydrological label for each type of label, a risk management model for each type of label for each meteorological and hydrological label is constructed. Based on the risk management models of all meteorological and hydrological labels for each type of label and the periodic management data of all periodic labels for the risk management cycle of normal replacement labels, a project management model for water conservancy projects is constructed.

8. A risk management and control system for water conservancy projects, characterized in that, A method for implementing risk management of a water conservancy project according to any one of claims 1 to 7, comprising: Analysis module: Acquires multi-source data of water conservancy projects, analyzes the multi-source data to determine the type risk data, risk monitoring parameter vector, and risk monitoring parameter value matrix for each type of meteorological and hydrological label; Determine the module: Based on multi-source project data, type risk data of each type of label for each meteorological and hydrological label, risk monitoring parameter vector, risk monitoring parameter value matrix, and multiple historical project management data, determine the historical reference data for each type of label for each meteorological and hydrological label; Calculation module: Based on multi-source data of the project and historical reference data of each type of label for each meteorological and hydrological label, calculate the reference value of the historical reference data of each type of label for each meteorological and hydrological label; Construction Module: Based on multi-source data of the project, historical reference data of each type of label of each meteorological and hydrological label, risk data, historical reference data, and reference values, a risk management model for each type of label of each meteorological and hydrological label is constructed, and a project management model for the water conservancy project is constructed.

9. A risk management and control platform for water conservancy projects, characterized in that, Used to implement the risk management method for any one of the water conservancy projects as claimed in claims 1 to 7.

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