CN117973131A - Finite element model-based power transmission tower geological disaster failure prediction method and system - Google Patents

Finite element model-based power transmission tower geological disaster failure prediction method and system Download PDF

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CN117973131A
CN117973131A CN202410150236.7A CN202410150236A CN117973131A CN 117973131 A CN117973131 A CN 117973131A CN 202410150236 A CN202410150236 A CN 202410150236A CN 117973131 A CN117973131 A CN 117973131A
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边美华
张兴森
李君华
刘桂婵
卢展强
彭家宁
陈恒
覃宋林
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Abstract

The invention discloses a method and a system for predicting geological disaster failure of a power transmission tower based on a finite element model, which relate to the technical field of power engineering and comprise the following steps: collecting rainfall data and related data of a power transmission tower, and establishing a finite element model; establishing a coupling action model of the power transmission tower based on the finite element model; predicting rainfall landslide geological disasters based on a coupling action model of the power transmission tower; and taking corresponding measures according to rainfall landslide geological disaster prediction results. According to the invention, the finite element model is built by collecting rainfall data and related data of the power transmission tower, the coupling action model is built, and geological disasters such as rainfall landslide and the like are predicted. The steps are jointly acted on warning potential risks in advance, so that the possibility of damage to the power transmission tower is reduced, and the stability of a power grid and the safety of personnel are ensured.

Description

基于有限元模型的输电塔地质灾害失效预测方法及系统Failure prediction method and system for transmission tower geological disasters based on finite element model

技术领域Technical Field

本发明涉及电力工程的技术领域,具体为基于有限元模型的输电塔地质灾害失效预测方法及系统。The present invention relates to the technical field of electric power engineering, and in particular to a method and system for predicting geological disaster failure of a transmission tower based on a finite element model.

背景技术Background technique

在电力工程领域,输电塔的稳定性对于电力系统的可靠运行至关重要。近年来,随着气候变化和环境恶化,地质灾害如降雨滑坡对输电塔的威胁日益增加。传统上,对输电塔的稳定性分析主要依赖经验判断和简单的静态计算模型。这些方法在处理复杂地质条件和动态环境因素(如降雨)时往往显得不足。近年来,有限元方法(FEM)的发展为此类问题提供了新的解决方案。有限元方法能够提供更精确的结构应力和变形分析,但其在地质灾害预测方面的应用还相对有限,尤其是在整合复杂地质数据和气象数据方面。In the field of power engineering, the stability of transmission towers is crucial for the reliable operation of power systems. In recent years, with climate change and environmental degradation, geological disasters such as rainfall landslides have increasingly threatened transmission towers. Traditionally, the stability analysis of transmission towers mainly relies on empirical judgment and simple static calculation models. These methods are often insufficient when dealing with complex geological conditions and dynamic environmental factors such as rainfall. In recent years, the development of the finite element method (FEM) has provided new solutions to such problems. The finite element method can provide more accurate structural stress and deformation analysis, but its application in geological disaster prediction is still relatively limited, especially in integrating complex geological data and meteorological data.

现有技术主要集中在使用静态模型预测输电塔的稳定性,而忽视了动态环境因素的影响。此外,这些技术往往未能充分利用深度学习算法来优化模型参数,导致预测精度有限。另一方面,现有方法在处理与输电塔相关的大量复杂数据时效率较低,不能实时响应环境变化。例如,当降雨量变化时,现有系统往往无法迅速调整其预测结果。此外,现有技术在灾害发生前的预防措施和灾害发生后的应急响应方面也存在不足。在这些方面,有限元模型的发展和深度学习算法的整合为提高预测准确性和响应速度提供了新的可能。Existing technologies mainly focus on predicting the stability of transmission towers using static models, while ignoring the impact of dynamic environmental factors. In addition, these technologies often fail to fully utilize deep learning algorithms to optimize model parameters, resulting in limited prediction accuracy. On the other hand, existing methods are inefficient in processing large amounts of complex data related to transmission towers and cannot respond to environmental changes in real time. For example, when rainfall changes, existing systems often cannot quickly adjust their prediction results. In addition, existing technologies are also insufficient in preventive measures before disasters occur and emergency responses after disasters occur. In these aspects, the development of finite element models and the integration of deep learning algorithms provide new possibilities for improving prediction accuracy and response speed.

针对这些不足,本发明提出了一种基于有限元模型的输电塔地质灾害失效预测方法及系统。该方法通过集成降雨数据、输电塔结构设计、岩土地质资料及边坡数据,使用有限元模型结合深度学习算法进行优化,从而提高了对复杂地质环境下输电塔稳定性的预测精度。此外,该系统能够根据实时环境变化动态调整预测模型,迅速响应如降雨滑坡等地质灾害的可能性。这种方法的创新在于它不仅提高了预测的准确性,还增强了系统的灵活性和响应速度。In view of these shortcomings, the present invention proposes a method and system for predicting the failure of transmission towers due to geological disasters based on a finite element model. This method integrates rainfall data, transmission tower structure design, rock and soil geological data, and slope data, and uses a finite element model combined with a deep learning algorithm for optimization, thereby improving the prediction accuracy of the stability of transmission towers in complex geological environments. In addition, the system can dynamically adjust the prediction model according to real-time environmental changes and quickly respond to the possibility of geological disasters such as rainfall landslides. The innovation of this method is that it not only improves the accuracy of the prediction, but also enhances the flexibility and response speed of the system.

本发明还包含了一套完整的风险评估和应急响应机制。根据预测模型的结果,系统能够分类判断地质灾害的可能性,并根据不同的风险等级采取相应措施,如常规监测、公众预警发布、紧急疏散计划启动等。这一机制不仅增强了预防措施的有效性,也为灾害发生时的应急管理提供了可靠的决策支持。此外,该系统的设计考虑了与现有电力系统的兼容性和实施成本,确保了其在实际应用中的可行性和经济性。总体来说,本发明在提高输电塔地质灾害预测的准确性和响应速度方面表现出显著优势,为电力系统的稳定运行和灾害风险管理提供了一种创新且实用的解决方案。The present invention also includes a complete set of risk assessment and emergency response mechanisms. According to the results of the prediction model, the system can classify and judge the possibility of geological disasters, and take corresponding measures according to different risk levels, such as routine monitoring, public warning release, and activation of emergency evacuation plans. This mechanism not only enhances the effectiveness of preventive measures, but also provides reliable decision-making support for emergency management when disasters occur. In addition, the design of the system takes into account the compatibility with the existing power system and the implementation cost, ensuring its feasibility and economy in practical applications. In general, the present invention shows significant advantages in improving the accuracy and response speed of geological disaster prediction of transmission towers, and provides an innovative and practical solution for the stable operation of power systems and disaster risk management.

发明内容Summary of the invention

鉴于上述存在的问题,提出了本发明。In view of the above-mentioned problems, the present invention is proposed.

因此,本发明解决的技术问题是:如何提高输电塔在复杂地质环境下,特别是在降雨滑坡等地质灾害情况中,稳定性预测的准确性和响应速度。Therefore, the technical problem solved by the present invention is: how to improve the accuracy and response speed of stability prediction of transmission towers in complex geological environments, especially in geological disasters such as rainfall landslides.

为解决上述技术问题,本发明提供如下技术方案:基于有限元模型的输电塔地质灾害失效预测方法,其包括如下步骤,In order to solve the above technical problems, the present invention provides the following technical solutions: a method for predicting failure of transmission tower geological disasters based on a finite element model, which comprises the following steps:

采集降雨数据以及输电塔相关数据,建立有限元模型;基于有限元模型建立输电塔的耦合作用模型;基于输电塔的耦合作用模型预测降雨滑坡地质灾害;根据降雨滑坡地质灾害预测结果采取相应措施。Collect rainfall data and transmission tower related data to establish a finite element model; establish a coupling model of the transmission tower based on the finite element model; predict rainfall-induced landslide geological disasters based on the coupling model of the transmission tower; take corresponding measures based on the prediction results of rainfall-induced landslide geological disasters.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述输电塔相关数据包括,输电塔结构设计以及位置信息、岩土地质资料以及边坡数据,所述建立有限元模型包括,通过深度学习算法优化有限元模型的参数设置。As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, the transmission tower related data includes the transmission tower structure design and location information, rock and soil geological data and slope data, and the establishment of the finite element model includes optimizing the parameter settings of the finite element model through a deep learning algorithm.

所述有限元模型表示为,The finite element model is expressed as,

其中,D表示输电塔数据,T表示降雨数据,G表示岩土地质资料,S表示边坡数据,M表示历史灾害记录,α表示调节参数,f(G,s)表示根据岩土地质资料和边坡数据定义的函数,a,b表示积分的上下限,n表示降雨时间数量。Where D represents the transmission tower data, T represents rainfall data, G represents geotechnical data, S represents slope data, M represents historical disaster records, α represents the adjustment parameter, f(G, s) represents the function defined according to geotechnical data and slope data, a and b represent the upper and lower limits of the integral, and n represents the number of rainfall hours.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述深度学习算法表示为,As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, the deep learning algorithm is expressed as:

其中,W表示深度学习模型的权重参数,X表示输入数据集,代表有限元模型中的参数,Y表示地质数据,σ表示激活函数,g(Xi)表示针对输入数据X的预处理函数,h(Y,t)表示对Y的积分处理,t表示积分变量,z表示输入数据的数量。Where W represents the weight parameter of the deep learning model, X represents the input data set, represents the parameters in the finite element model, Y represents the geological data, σ represents the activation function, g(X i ) represents the preprocessing function for the input data X, h(Y, t) represents the integral processing of Y, t represents the integral variable, and z represents the number of input data.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述建立输电塔的耦合作用模型包括,建立输电塔有限元模型后,根据输电塔基础的岩土地质资料建立土体模型,并设定边坡的倾角,建立输电塔的耦合作用模型,表示为,As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, wherein: the establishment of the coupling effect model of the transmission tower includes, after the finite element model of the transmission tower is established, a soil model is established according to the rock and soil geological data of the transmission tower foundation, and the inclination angle of the slope is set to establish the coupling effect model of the transmission tower, which is expressed as:

其中,Y表示风险评估函数,x表示位置,P表示有限元模型,G(x)表示岩土地质资料函数,δ表示调节参数,控制输电塔结构参数对风险评估的影响,β表示调节参数,θ表示边坡倾角,R(x)表示降雨量函数。Among them, Y represents the risk assessment function, x represents the location, P represents the finite element model, G(x) represents the rock and soil geological data function, δ represents the adjustment parameter, which controls the influence of the transmission tower structure parameters on risk assessment, β represents the adjustment parameter, θ represents the slope inclination, and R(x) represents the rainfall function.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述预测降雨滑坡地质灾害包括,若预测函数Y小于0.3时,表示降雨滑坡地质灾害必不会发生,记为A1,若预测函数0.3≤Y≤0.7,表示降雨滑坡地质灾害可能发生,记为A2,若预测函数Y>0.7,表示降雨滑坡地质灾害必发生,记为A3。As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, the prediction of rainfall landslide geological disasters includes: if the prediction function Y is less than 0.3, it means that the rainfall landslide geological disaster will not occur, recorded as A1; if the prediction function 0.3≤Y≤0.7, it means that the rainfall landslide geological disaster may occur, recorded as A2; if the prediction function Y>0.7, it means that the rainfall landslide geological disaster will definitely occur, recorded as A3.

当降雨滑坡地质灾害可能发生时,通过风险评估模型进一步确定。When rainfall-landslide geological disasters are likely to occur, they are further determined through risk assessment models.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述风险评估模型表示为,As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, the risk assessment model is expressed as:

其中,Q表示降雨滑坡地质灾害的风险评估值,T(u)表示降雨量函数,H表示地质稳定性指数。Among them, Q represents the risk assessment value of rainfall landslide geological disasters, T(u) represents the rainfall function, and H represents the geological stability index.

若Q大于阈值,则进一步确定降雨滑坡地质灾害必发生,记为B1。If Q is greater than the threshold, it is further determined that the rainfall landslide geological disaster will occur, which is recorded as B1.

若Q小于阈值,则进一步确定降雨滑坡地质灾害必不发生,记为B2。If Q is less than the threshold, it is further determined that the rainfall landslide geological disaster will not occur, which is recorded as B2.

作为本发明所述的基于有限元模型的输电塔地质灾害失效预测方法的一种优选方案,其中:所述采取相应措施包括,若当前状态为A1时,则继续使用先进的传感器或卫星数据实时进行常规的地质和气象监测,同时检查并保持现有的安全措施和预警系统,收集和分析地质、气象和结构数据,用于未来的分析和预测模型优化。As a preferred solution of the transmission tower geological disaster failure prediction method based on the finite element model described in the present invention, the taking of corresponding measures includes, if the current state is A1, continuing to use advanced sensors or satellite data to perform conventional geological and meteorological monitoring in real time, while checking and maintaining existing safety measures and early warning systems, collecting and analyzing geological, meteorological and structural data for future analysis and prediction model optimization.

若当前状态为A2且进一步确定状态为B1时,则立即通过多种渠道包括广播、手机应用、社交媒体向公众发出预警,启动疏散计划,部署紧急救援队伍和物资,同时持续监控情况发展,并实时更新信息。If the current status is A2 and the status is further confirmed to be B1, an early warning will be immediately issued to the public through multiple channels including broadcasting, mobile phone applications, and social media, the evacuation plan will be activated, emergency rescue teams and supplies will be deployed, and the situation will be continuously monitored and information will be updated in real time.

若当前状态为A2且进一步确定状态为B2时,则对采集的数据进行深入分析,确定风险评估模型的准确性,根据最新评估,向公众发出最新评估结果,解除发出的预警,根据最新的风险评估结果,复审和调整现有的应急预案和策略。If the current status is A2 and it is further determined that the status is B2, the collected data will be deeply analyzed to determine the accuracy of the risk assessment model. Based on the latest assessment, the latest assessment results will be issued to the public, the issued warning will be lifted, and the existing emergency plans and strategies will be reviewed and adjusted based on the latest risk assessment results.

若当前状态为A3时,则立即采取紧急措施,立即实施疏散计划,优先疏散高风险区域的居民,确保疏散路线的安全,预先设定救援队伍和装备的集结点。If the current status is A3, emergency measures will be taken immediately, the evacuation plan will be implemented immediately, residents in high-risk areas will be evacuated first, the safety of the evacuation routes will be ensured, and assembly points for rescue teams and equipment will be set in advance.

本发明的另外一个目的是提供一种基于有限元模型的输电塔地质灾害失效预测系统,其能通过集成深度学习算法优化的有限元模型、实时环境数据处理能力和综合风险评估机制,解决了现有技术在动态环境因素响应、数据处理效率和灾害预警准确性方面的问题。Another object of the present invention is to provide a transmission tower geological disaster failure prediction system based on a finite element model, which can solve the problems of the prior art in terms of dynamic environmental factor response, data processing efficiency and disaster warning accuracy by integrating a finite element model optimized by a deep learning algorithm, real-time environmental data processing capabilities and a comprehensive risk assessment mechanism.

为解决上述技术问题,本发明提供如下技术方案:基于有限元模型的输电塔地质灾害失效预测系统,包括数据采集模块、有限元模型构建模块、灾害预测模块以及风险评估模块。To solve the above technical problems, the present invention provides the following technical solutions: a transmission tower geological disaster failure prediction system based on a finite element model, comprising a data acquisition module, a finite element model construction module, a disaster prediction module and a risk assessment module.

所述数据采集模块负责收集输电塔相关数据,包括结构设计、位置信息、岩土地质资料、边坡数据以及降雨数据。The data acquisition module is responsible for collecting transmission tower related data, including structural design, location information, geotechnical data, slope data and rainfall data.

所述有限元模型构建模块负责使用所收集的数据来建立有限元模型。The finite element model building module is responsible for building a finite element model using the collected data.

所述灾害预测模块预测降雨滑坡地质灾害的可能性。The disaster prediction module predicts the possibility of rainfall landslide geological disasters.

所述风险评估模块负责当预测出可能发生降雨滑坡地质灾害时,使用风险评估模型来进一步确定灾害的可能性。The risk assessment module is responsible for using the risk assessment model to further determine the possibility of the disaster when a possible rainfall landslide geological disaster is predicted.

一种计算机设备,包括存储器和处理器,所述存储器存储有计算机程序,所述处理器执行所述计算机程序时实现如上所述基于有限元模型的输电塔地质灾害失效预测方法的步骤。A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method for predicting failure of a transmission tower geological disaster based on a finite element model as described above are implemented.

一种计算机可读存储介质,其上存储有计算机程序,所述计算机程序被处理器执行时实现如上所述基于有限元模型的输电塔地质灾害失效预测方法的步骤。A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the method for predicting failure of a transmission tower geological disaster based on a finite element model as described above.

本发明的有益效果:本发明通过采集降雨数据及输电塔相关数据建立有限元模型、构建耦合作用模型,并预测降雨滑坡等地质灾害,本发明不仅提高了地质灾害预测的准确性和动态响应能力,而且为电力系统稳定运行和灾害风险管理提供了全面、综合的技术支持。这些步骤共同作用于提前警示潜在风险,减少输电塔损坏的可能性,从而保障电网稳定性和人员安全。Beneficial effects of the invention: The invention collects rainfall data and transmission tower related data to establish a finite element model, builds a coupling model, and predicts geological disasters such as rainfall landslides. The invention not only improves the accuracy and dynamic response capability of geological disaster prediction, but also provides comprehensive and integrated technical support for the stable operation of the power system and disaster risk management. These steps work together to warn of potential risks in advance and reduce the possibility of damage to transmission towers, thereby ensuring the stability of the power grid and the safety of personnel.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

为了更清楚地说明本发明实施例的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其它的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

图1为本发明第一个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的整体流程图。FIG1 is an overall flow chart of a method for predicting failure of transmission tower geological disasters based on a finite element model provided in a first embodiment of the present invention.

图2为本发明第二个实施例提供的基于有限元模型的输电塔地质灾害失效预测系统的整体框架图。FIG2 is an overall framework diagram of a transmission tower geological disaster failure prediction system based on a finite element model provided in a second embodiment of the present invention.

图3为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的失效模型分析软件流程图。FIG3 is a flowchart of failure model analysis software for a method for predicting failure of transmission tower geological disasters based on a finite element model according to a third embodiment of the present invention.

图4为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的失效分析软件的主界面。FIG. 4 is a main interface of failure analysis software for a method for predicting failure of transmission tower geological disasters based on a finite element model provided in a third embodiment of the present invention.

图5为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的关键点界面。FIG5 is a key point interface of a method for predicting failure of transmission tower geological disasters based on a finite element model provided in a third embodiment of the present invention.

图6为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的输入相关参数界面。FIG6 is an interface of inputting relevant parameters of a method for predicting failure of transmission tower geological disasters based on a finite element model provided in a third embodiment of the present invention.

图7为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的输入相关参数界面。FIG. 7 is an interface of input related parameters of a method for predicting failure of transmission tower geological disasters based on a finite element model provided in a third embodiment of the present invention.

图8为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的两种基塔选择图。FIG8 is a diagram showing two base tower selections for a method for predicting transmission tower geological disaster failure based on a finite element model according to a third embodiment of the present invention.

图9为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的日降雨量和总降水量显示图。FIG. 9 is a graph showing daily rainfall and total precipitation of a transmission tower geological disaster failure prediction method based on a finite element model provided in a third embodiment of the present invention.

图10为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的数值分析结果图。FIG. 10 is a diagram showing the numerical analysis results of a method for predicting failure of transmission tower geological disasters based on a finite element model according to a third embodiment of the present invention.

图11为本发明第三个实施例提供的基于有限元模型的输电塔地质灾害失效预测方法的位移和应变云图。FIG. 11 is a displacement and strain cloud diagram of a transmission tower geological disaster failure prediction method based on a finite element model provided in a third embodiment of the present invention.

具体实施方式Detailed ways

为使本发明的上述目的、特征和优点能够更加明显易懂,下面结合说明书附图对本发明的具体实施方式做详细的说明,显然所描述的实施例是本发明的一部分实施例,而不是全部实施例。基于本发明中的实施例,本领域普通人员在没有做出创造性劳动前提下所获得的所有其他实施例,都应当属于本发明的保护的范围。In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

实施例1Example 1

参照图1,为本发明的一个实施例,提供了基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:1 , which is an embodiment of the present invention, provides a method for predicting failure of transmission tower geological disasters based on a finite element model, which is characterized by:

S1:采集降雨数据以及输电塔相关数据,建立有限元模型。S1: Collect rainfall data and transmission tower related data to establish a finite element model.

输电塔相关数据包括,输电塔结构设计以及位置信息、岩土地质资料以及边坡数据,建立有限元模型包括,通过深度学习算法优化有限元模型的参数设置。The transmission tower related data includes the transmission tower structure design and location information, rock and soil geological data and slope data. The establishment of the finite element model includes optimizing the parameter settings of the finite element model through a deep learning algorithm.

有限元模型表示为,The finite element model is expressed as,

其中,D表示输电塔数据,T表示降雨数据,G表示岩土地质资料,S表示边坡数据,M表示历史灾害记录,α表示调节参数,f(G,s)表示根据岩土地质资料和边坡数据定义的函数,a,b表示积分的上下限,n表示降雨时间数量。Where D represents the transmission tower data, T represents rainfall data, G represents geotechnical data, S represents slope data, M represents historical disaster records, α represents the adjustment parameter, f(G, s) represents the function defined according to geotechnical data and slope data, a and b represent the upper and lower limits of the integral, and n represents the number of rainfall hours.

深度学习算法表示为,The deep learning algorithm is represented as,

其中,W表示深度学习模型的权重参数,X表示输入数据集,代表有限元模型中的参数,Y表示地质数据,σ表示激活函数,g(Xi)表示针对输入数据X的预处理函数,h(Y,t)表示对Y的积分处理,t表示积分变量,z表示输入数据的数量。Where W represents the weight parameter of the deep learning model, X represents the input data set, represents the parameters in the finite element model, Y represents the geological data, σ represents the activation function, g(X i ) represents the preprocessing function for the input data X, h(Y, t) represents the integral processing of Y, t represents the integral variable, and z represents the number of input data.

进一步补充的是,本发明中的有限元模型利用收集的数据,通过计算机仿真技术分析输电塔在不同地质条件下的响应。利用深度学习算法优化模型参数,提高了模型的精度和适用性。这一步骤的创新在于结合传统的有限元分析方法和现代的机器学习技术,为输电塔的稳定性分析提供了新的视角,通过深度学习算法进行优化的具体步骤包括,收集与有限元模型相关的数据,对收集的数据进行预处理,确定影响有限元模型输出的关键特征,从而构建深度学习模型,通过深度学习模型,预测输电塔优化材料的特性,确定最合适的边界条件和载荷设置。It is further added that the finite element model in the present invention uses the collected data to analyze the response of the transmission tower under different geological conditions through computer simulation technology. The model parameters are optimized using a deep learning algorithm to improve the accuracy and applicability of the model. The innovation of this step is to combine the traditional finite element analysis method with modern machine learning technology to provide a new perspective for the stability analysis of the transmission tower. The specific steps of optimization through the deep learning algorithm include collecting data related to the finite element model, preprocessing the collected data, and determining the key features that affect the output of the finite element model, thereby constructing a deep learning model. Through the deep learning model, the characteristics of the optimized material of the transmission tower are predicted, and the most appropriate boundary conditions and load settings are determined.

S2:基于有限元模型建立输电塔的耦合作用模型。S2: Establish the coupling effect model of transmission tower based on finite element model.

建立输电塔的耦合作用模型包括,建立输电塔有限元模型后,根据输电塔基础的岩土地质资料建立土体模型,并设定边坡的倾角,建立输电塔的耦合作用模型,表示为,The coupling effect model of the transmission tower is established by establishing the finite element model of the transmission tower, establishing the soil model according to the rock and soil geological data of the transmission tower foundation, setting the slope angle, and establishing the coupling effect model of the transmission tower, which is expressed as:

其中,Y表示风险评估函数,x表示位置,P表示有限元模型,G(x)表示岩土地质资料函数,δ表示调节参数,控制输电塔结构参数对风险评估的影响,β表示调节参数,θ表示边坡倾角,R(x)表示降雨量函数。Among them, Y represents the risk assessment function, x represents the location, P represents the finite element model, G(x) represents the rock and soil geological data function, δ represents the adjustment parameter, which controls the influence of the transmission tower structure parameters on risk assessment, β represents the adjustment parameter, θ represents the slope inclination, and R(x) represents the rainfall function.

进一步补充的是,该步骤通过考虑输电塔结构与其基础岩土之间的相互作用,建立了一个更加综合的耦合作用模型。这一模型不仅包含了静态的结构分析,还考虑了动态环境因素(如降雨),从而为预测提供了更全面的视角。这种耦合模型的建立能够更准确地预测输电塔在特定环境下的响应,特别是在极端天气条件下。Furthermore, this step establishes a more comprehensive coupled model by considering the interaction between the transmission tower structure and its foundation rock and soil. This model not only includes static structural analysis, but also considers dynamic environmental factors (such as rainfall), thus providing a more comprehensive perspective for prediction. The establishment of this coupled model can more accurately predict the response of transmission towers in specific environments, especially under extreme weather conditions.

S3:基于输电塔的耦合作用模型预测降雨滑坡地质灾害。S3: Prediction of rainfall-induced landslide geological disasters based on the coupling effect model of transmission towers.

预测降雨滑坡地质灾害包括,若预测函数Y小于0.3时,表示降雨滑坡地质灾害必不会发生,记为A1,若预测函数0.3≤Y≤0.7,表示降雨滑坡地质灾害可能发生,记为A2,若预测函数Y>0.7,表示降雨滑坡地质灾害必发生,记为A3。The prediction of rainfall landslide geological disasters includes: if the prediction function Y is less than 0.3, it means that rainfall landslide geological disasters will not occur, which is recorded as A1; if the prediction function is 0.3≤Y≤0.7, it means that rainfall landslide geological disasters may occur, which is recorded as A2; if the prediction function Y>0.7, it means that rainfall landslide geological disasters will definitely occur, which is recorded as A3.

当降雨滑坡地质灾害可能发生时,通过风险评估模型进一步确定。When rainfall-landslide geological disasters are likely to occur, they are further determined through risk assessment models.

风险评估模型表示为,The risk assessment model is expressed as,

其中,Q表示降雨滑坡地质灾害的风险评估值,T(u)表示降雨量函数,H表示地质稳定性指数。Among them, Q represents the risk assessment value of rainfall landslide geological disasters, T(u) represents the rainfall function, and H represents the geological stability index.

若Q大于阈值,则进一步确定降雨滑坡地质灾害必发生,记为B1。If Q is greater than the threshold, it is further determined that the rainfall landslide geological disaster will occur, which is recorded as B1.

若Q小于阈值,则进一步确定降雨滑坡地质灾害必不发生,记为B2。If Q is less than the threshold, it is further determined that the rainfall landslide geological disaster will not occur, which is recorded as B2.

进一步补充的是,在预测出可能的地质灾害后,本发明通过风险评估模型进一步确定灾害的可能性和严重性。这一模型结合了地质稳定性指数和降雨量数据,为做出更精确的风险判断提供了依据。这对于灾害应急响应和资源分配具有极大的实际应用价值。It is further added that after predicting possible geological disasters, the present invention further determines the possibility and severity of the disaster through a risk assessment model. This model combines the geological stability index and rainfall data to provide a basis for making more accurate risk judgments. This has great practical application value for disaster emergency response and resource allocation.

S4:根据降雨滑坡地质灾害预测结果采取相应措施。S4: Take corresponding measures based on the prediction results of rainfall-induced landslide geological disasters.

采取相应措施包括,若当前状态为A1时,则继续使用先进的传感器或卫星数据实时进行常规的地质和气象监测,同时检查并保持现有的安全措施和预警系统,收集和分析地质、气象和结构数据,用于未来的分析和预测模型优化。The corresponding measures include, if the current status is A1, continuing to use advanced sensors or satellite data for regular geological and meteorological monitoring in real time, checking and maintaining existing safety measures and early warning systems, and collecting and analyzing geological, meteorological and structural data for future analysis and prediction model optimization.

若当前状态为A2且进一步确定状态为B1时,则立即通过多种渠道包括广播、手机应用、社交媒体向公众发出预警,启动疏散计划,部署紧急救援队伍和物资,同时持续监控情况发展,并实时更新信息。If the current status is A2 and the status is further confirmed to be B1, an early warning will be immediately issued to the public through multiple channels including broadcasting, mobile phone applications, and social media, the evacuation plan will be activated, emergency rescue teams and supplies will be deployed, and the situation will be continuously monitored and information will be updated in real time.

若当前状态为A2且进一步确定状态为B2时,则对采集的数据进行深入分析,确定风险评估模型的准确性,根据最新评估,向公众发出最新评估结果,解除发出的预警,根据最新的风险评估结果,复审和调整现有的应急预案和策略。If the current status is A2 and it is further determined that the status is B2, the collected data will be deeply analyzed to determine the accuracy of the risk assessment model. Based on the latest assessment, the latest assessment results will be issued to the public, the issued warning will be lifted, and the existing emergency plans and strategies will be reviewed and adjusted based on the latest risk assessment results.

若当前状态为A3时,则立即采取紧急措施,立即实施疏散计划,优先疏散高风险区域的居民,确保疏散路线的安全,预先设定救援队伍和装备的集结点。If the current status is A3, emergency measures will be taken immediately, the evacuation plan will be implemented immediately, residents in high-risk areas will be evacuated first, the safety of the evacuation routes will be ensured, and assembly points for rescue teams and equipment will be set in advance.

实施例2Example 2

参照图2,为本发明的一个实施例,提供了基于有限元模型的输电塔地质灾害失效预测方法的系统,基于有限元模型的输电塔地质灾害失效预测系统包括数据采集模块、有限元模型构建模块、灾害预测模块以及风险评估模块。Referring to Figure 2, an embodiment of the present invention provides a system for a method for predicting geological disaster failure of a transmission tower based on a finite element model. The system for predicting geological disaster failure of a transmission tower based on a finite element model includes a data acquisition module, a finite element model construction module, a disaster prediction module and a risk assessment module.

数据采集模块负责收集输电塔相关数据,包括结构设计、位置信息、岩土地质资料、边坡数据以及降雨数据。The data acquisition module is responsible for collecting transmission tower related data, including structural design, location information, geotechnical data, slope data and rainfall data.

有限元模型构建模块负责使用所收集的数据来建立有限元模型。The finite element model building module is responsible for building a finite element model using the collected data.

灾害预测模块预测降雨滑坡地质灾害的可能性。The disaster prediction module predicts the possibility of rainfall-induced landslide geological disasters.

风险评估模块负责当预测出可能发生降雨滑坡地质灾害时,使用风险评估模型来进一步确定灾害的可能性。The risk assessment module is responsible for using the risk assessment model to further determine the possibility of disasters when a possible rainfall landslide geological disaster is predicted.

所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-OnlyMemory)、随机存取存储器(RAM,RandomAccessMemory)、磁碟或者光盘等各种可以存储程序代码的介质。If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

在流程图中表示或在此以其他方式描述的逻辑和/或步骤,例如,可以被认为是用于实现逻辑功能的可执行指令的定序列表,可以具体实现在任何计算机可读介质中,以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用,或结合这些指令执行系统、装置或设备而使用。就本说明书而言,“计算机可读介质”可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。The logic and/or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

计算机可读介质的更具体的示例(非穷尽性列表)包括以下:具有一个或多个布线的电连接部(电子装置)、便携式计算机盘盒(磁装置)、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编辑只读存储器(EPROM或闪速存储器)、光纤装置以及便携式光盘只读存储器(CDROM)。另外,计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质,因为可以例如通过对纸或其他介质进行光学扫描,接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序,然后将其存储在计算机存储器中。More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

应当理解,本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中,多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如,如果用硬件来实现,和在另一实施方式中一样,可用本领域公知的下列技术中的任一项或他们的组合来实现:具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路,具有合适的组合逻辑门电路的专用集成电路,可编程门阵列(PGA),现场可编程门阵列(FPGA)等。It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

实施例3Example 3

本实施例中,为了验证本发明的有益效果,通过经济效益计算和仿真实验进行科学论证。本发明通过高压输电线路铁塔基础地质灾害失效模型分析软件进行仿真,该软件收集了广西地区南宁塔(南宁南利II线220kV 42#基塔)和来宾塔(来宾蓬庆线220kV 35#基塔)的结构及地质资料,针对这两座塔及其基础及边坡进行了降雨致滑坡灾害作用下输电塔基础稳定性模拟与计算分析。本软件具有可以扩展为其他塔,只要获得塔体及地质条件资料,根据资料建立相应的工况库即可实现。In this embodiment, in order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiment. The present invention is simulated by high-voltage transmission line iron tower foundation geological disaster failure model analysis software, which collects the structure and geological data of the Nanning tower (Nanning Nanli II line 220kV 42# base tower) and Laibin tower (Laibin Pengqing line 220kV 35# base tower) in Guangxi, and simulates and calculates the stability of the transmission tower foundation under the action of rainfall-induced landslide disasters for these two towers and their foundations and slopes. This software can be expanded to other towers, as long as the tower body and geological condition data are obtained, and the corresponding working condition library is established according to the data.

失效模型分析软件是可以分为三个模模块:Failure model analysis software can be divided into three modules:

1、输入模块1. Input module

在输入模块,需要选择所要分析的基塔,输入降雨时间和降雨速率等参数,降雨速率设置为1mm/h-16mm/h,降雨时间设置为1h-72h。In the input module, you need to select the tower to be analyzed, enter parameters such as rainfall time and rainfall rate, set the rainfall rate to 1mm/h-16mm/h, and the rainfall time to 1h-72h.

2、数据库模块2. Database module

在数据库模块,首先收集目标输电塔结构设计资料,根据目标塔结构图纸在ABAQUS有限元中建立输电塔有限元模型,然后根据输电塔基础的岩土地质资料建立土体模型,并设定边坡的倾角,建立输电塔结构-基础-岩土的耦合作用模型,考虑在不同降雨速率和降雨时长条件下,模拟不同工况下输电塔结构及基础的位移变形,以及应力应变云图,构建降雨诱发滑坡地质灾害作用下高压输电线路混凝土基础失稳数据库。In the database module, the structural design data of the target transmission tower is first collected, and a finite element model of the transmission tower is established in ABAQUS finite element according to the structural drawings of the target tower. Then, a soil model is established according to the rock and soil geological data of the transmission tower foundation, and the inclination angle of the slope is set to establish a transmission tower structure-foundation-rock and soil coupling model. Considering different rainfall rates and rainfall durations, the displacement and deformation of the transmission tower structure and foundation under different working conditions, as well as the stress-strain cloud map, are simulated to construct a database of concrete foundation instability of high-voltage transmission lines under the action of rainfall-induced landslide geological disasters.

3、数据输出模块3. Data output module

在数据输出模块,根据参数输入条件,选择相应工况下输电塔结构及基础周边控制节点的位移变形,应力应变数据,不仅可以EXCEL等形式的数据表现形式,还可以实现数据的可视化,如图3所示。In the data output module, according to the parameter input conditions, the displacement deformation and stress-strain data of the transmission tower structure and the surrounding control nodes of the foundation under the corresponding working conditions are selected. Not only can the data be presented in the form of EXCEL, but also the data can be visualized, as shown in Figure 3.

失效模型分析软件可以模拟目标输电塔结构基础及周边岩土控制性节点在降雨诱发滑坡地质灾害作用下的受力状态及位移变形,软件考虑了降雨速率、降雨时长,针对不同的铁塔,根据提供的岩土地质勘察资料,考虑不同边坡角度,建立输电塔结构-基础-岩土的耦合作用模型,模拟不同降雨工况下,电塔结构-基础-岩土的位移变形及受力状态,为输电塔结构的安全运营提供参考依据。The failure model analysis software can simulate the stress state and displacement deformation of the target transmission tower structure foundation and surrounding geotechnical control nodes under the action of rainfall-induced landslide geological disasters. The software takes into account the rainfall rate and rainfall duration. For different towers, based on the provided geotechnical survey data and considering different slope angles, a transmission tower structure-foundation-rock and soil coupling model is established to simulate the displacement deformation and stress state of the tower structure-foundation-rock and soil under different rainfall conditions, providing a reference for the safe operation of the transmission tower structure.

失效模型分析软件可以输出以下内容。Failure model analysis software can output the following.

1、输电塔基础(JD1-JD4)及塔顶(TD)的位移变形数据(但不限于这些点)。1. Displacement and deformation data of the transmission tower foundation (JD1-JD4) and the tower top (TD) (but not limited to these points).

2、输电塔基础周围岩土水平位移和竖向位移。2. Horizontal and vertical displacement of rock and soil around the transmission tower foundation.

3、输电塔-基础-岩土应力应变云图。3. Transmission tower-foundation-rock and soil stress-strain cloud diagram.

图4展示了失效分析软件的主界面,上部为菜单栏,左侧为参数输入,左下侧为计算结果区域,右侧为图形显示区域,分别显示关键点图,应变云图、位移x云图,位移z云图。Figure 4 shows the main interface of the failure analysis software, with a menu bar on the top, parameter input on the left, calculation result area on the lower left, and graphic display area on the right, which display key point graph, strain cloud graph, displacement x cloud graph, and displacement z cloud graph respectively.

失效分析软件数据库是基于ABAQUS有限元软件,开展了在不同坡角和不同降雨量下进行塔-基础-岩土耦合作用模型进行变形计算,计算结果存储在数据库中。根据现场勘察及相关资料,获取输电塔基础的土参数,单元参数均已根据实际工程项目获得的资料进行输入,以提高分析的准确性。The failure analysis software database is based on ABAQUS finite element software. The deformation calculation of the tower-foundation-rock-soil coupling model under different slope angles and different rainfall amounts is carried out, and the calculation results are stored in the database. According to the on-site survey and related information, the soil parameters of the transmission tower foundation are obtained, and the unit parameters have been input according to the data obtained from the actual engineering project to improve the accuracy of the analysis.

失效分析软件计算的结果根据关键点显示,关键点如图5所示,从图5中看出JD1-JD4是输电塔基础的4个关键点,失效分析软件可以计算出不同工况下四个基础点的水平位移x和垂直位移z。The results calculated by the failure analysis software are displayed according to the key points. The key points are shown in Figure 5. It can be seen from Figure 5 that JD1-JD4 are the four key points of the transmission tower foundation. The failure analysis software can calculate the horizontal displacement x and vertical displacement z of the four foundation points under different working conditions.

TD为输电塔塔顶的关键点,用于分析塔顶的位移。TD is the key point on the top of the transmission tower and is used to analyze the displacement of the tower top.

在参数输入区域,选择相应的输电塔,并输入降雨速率、降雨时长等参数进行计算。In the parameter input area, select the corresponding transmission tower and enter parameters such as rainfall rate and rainfall duration for calculation.

降雨速率为每小时降雨量,从1mm/h至16mm/h范围选择,对应于日降水量为24mm/d至384mm/d。The rainfall rate is the rainfall per hour, which can be selected from the range of 1 mm/h to 16 mm/h, corresponding to the daily precipitation of 24 mm/d to 384 mm/d.

降雨时长按小时输入,由于计算结果在小雨量时几乎不会发生土体的突变,因此建议最少输入24小时,48小时、72小时,在72小时后时间进行了加密处理。The rainfall duration is input in hours. Since the calculated results show that there will be almost no sudden change in the soil during light rainfall, it is recommended to input at least 24 hours, 48 hours, or 72 hours. The time is encrypted after 72 hours.

参数输入界面如图6、图7所示:The parameter input interface is shown in Figure 6 and Figure 7:

塔的选择,目前获得的地质资料及塔体资料为南宁塔和宾塔,因此本软件目前能够计算这两基塔的模型。For tower selection, the geological data and tower body data currently obtained are for Nanning Tower and Bin Tower, so this software can currently calculate the models of these two towers.

南宁塔对应于南宁南利II线42#基塔(220kV)塔Nanning tower corresponds to the 42# base tower (220kV) of Nanning Nanli II line

来宾塔对应于来宾蓬庆线35#基塔(110kV)塔Laibin tower corresponds to Laibin Pengqing line 35# base tower (110kV) tower

界面如图8下。The interface is shown in Figure 8.

参数输入完毕后点击执行,软件自动计算并显示结果。After entering the parameters, click Execute and the software will automatically calculate and display the results.

在输入区域会显示日降雨量和总降水量,如下图9所示。The daily rainfall and total precipitation are displayed in the input area, as shown in Figure 9 below.

如图10所示,在结果区域显示数值分析结果。As shown in FIG10 , the numerical analysis results are displayed in the result area.

根据关键点图,对应的关键点部位,计算出相应的最大应力,塔基4个基础的最大位移(JD1x、JD1z,JD2x、JD2z,JD3x、JD3z,JD4x、JD4z),塔顶的位移(TDx、TDz)。According to the key point diagram and the corresponding key point positions, the corresponding maximum stress, the maximum displacement of the four foundations of the tower base (JD1x, JD1z, JD2x, JD2z, JD3x, JD3z, JD4x, JD4z), and the displacement of the tower top (TDx, TDz) are calculated.

在图形显示区除了关键点图不变化外,其余3个图显示应变云图,水平位移x云图和垂直位移z云图,见图11。In the graphic display area, except for the key point graph which does not change, the other three graphs display the strain cloud graph, the horizontal displacement x cloud graph and the vertical displacement z cloud graph, as shown in Figure 11.

应变云图显示的是Von Mises应力,单位MPa。The strain contour shows the Von Mises stress in MPa.

位移X显示的是沿边坡水平方向位移云图,单位m。Displacement X shows the displacement cloud along the horizontal direction of the slope, in meters.

位移Z显示的是垂直方向位移云图,单位m。Displacement Z shows the vertical displacement cloud map, unit is m.

应说明的是,以上实施例仅用以说明本发明的技术方案而非限制,尽管参照较佳实施例对本发明进行了详细说明,本领域的普通技术人员应当理解,可以对本发明的技术方案进行修改或者等同替换,而不脱离本发明技术方案的精神和范围,其均应涵盖在本发明的权利要求范围当中。It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims (10)

1.基于有限元模型的输电塔地质灾害失效预测方法,其特征在于,包括:1. A method for predicting failure of transmission tower geological disasters based on a finite element model, characterized by comprising: 采集降雨数据以及输电塔相关数据,建立有限元模型;Collect rainfall data and transmission tower related data to build a finite element model; 基于有限元模型建立输电塔的耦合作用模型;Establish the coupling effect model of transmission tower based on finite element model; 基于输电塔的耦合作用模型预测降雨滑坡地质灾害;Prediction of rainfall-induced landslide geological disasters based on the coupling model of transmission towers; 根据降雨滑坡地质灾害预测结果采取相应措施。Take corresponding measures based on the prediction results of rainfall-landscape geological disasters. 2.如权利要求1所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述输电塔相关数据包括,输电塔结构设计以及位置信息、岩土地质资料以及边坡数据,所述建立有限元模型包括,通过深度学习算法优化有限元模型的参数设置;2. The method for predicting failure of a transmission tower according to claim 1, wherein the transmission tower related data includes transmission tower structure design and location information, rock and soil geological data, and slope data; and the establishment of the finite element model includes optimizing the parameter settings of the finite element model by a deep learning algorithm; 所述有限元模型表示为,The finite element model is expressed as, 其中,D表示输电塔数据,T表示降雨数据,G表示岩土地质资料,S表示边坡数据,M表示历史灾害记录,α表示调节参数,f(G,s)表示根据岩土地质资料和边坡数据定义的函数,a,b表示积分的上下限,n表示降雨时间数量。Where D represents the transmission tower data, T represents rainfall data, G represents geotechnical data, S represents slope data, M represents historical disaster records, α represents the adjustment parameter, f(G, s) represents the function defined according to geotechnical data and slope data, a and b represent the upper and lower limits of the integral, and n represents the number of rainfall hours. 3.如权利要求2所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述深度学习算法表示为,3. The method for predicting failure of transmission tower geological disasters based on finite element model according to claim 2, characterized in that: the deep learning algorithm is expressed as: 其中,W表示深度学习模型的权重参数,X表示输入数据集,代表有限元模型中的参数,Y表示地质数据,σ表示激活函数,g(Xi)表示针对输入数据X的预处理函数,h(Y,t)表示对Y的积分处理,t表示积分变量,z表示输入数据的数量。Where W represents the weight parameter of the deep learning model, X represents the input data set, represents the parameters in the finite element model, Y represents the geological data, σ represents the activation function, g(X i ) represents the preprocessing function for the input data X, h(Y, t) represents the integral processing of Y, t represents the integral variable, and z represents the number of input data. 4.如权利要求3所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述建立输电塔的耦合作用模型包括,建立输电塔有限元模型后,根据输电塔基础的岩土地质资料建立土体模型,并设定边坡的倾角,建立输电塔的耦合作用模型,表示为,4. The method for predicting failure of a transmission tower due to geological disasters based on a finite element model as claimed in claim 3 is characterized in that: the establishment of the coupling action model of the transmission tower comprises: after establishing the finite element model of the transmission tower, establishing a soil model according to the rock and soil geological data of the foundation of the transmission tower, and setting the inclination angle of the slope to establish the coupling action model of the transmission tower, which is expressed as: 其中,Y表示风险评估函数,x表示位置,P表示有限元模型,G(x)表示岩土地质资料函数,δ表示调节参数,控制输电塔结构参数对风险评估的影响,β表示调节参数,θ表示边坡倾角,R(x)表示降雨量函数。Among them, Y represents the risk assessment function, x represents the location, P represents the finite element model, G(x) represents the rock and soil geological data function, δ represents the adjustment parameter, which controls the influence of the transmission tower structure parameters on risk assessment, β represents the adjustment parameter, θ represents the slope inclination, and R(x) represents the rainfall function. 5.如权利要求4所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述预测降雨滑坡地质灾害包括,若预测函数Y小于0.3时,表示降雨滑坡地质灾害必不会发生,记为A1,若预测函数0.3≤Y≤0.7,表示降雨滑坡地质灾害可能发生,记为A2,若预测函数Y>0.7,表示降雨滑坡地质灾害必发生,记为A3;5. The method for predicting failure of a transmission tower due to geological disasters based on a finite element model as claimed in claim 4, wherein the prediction of a landslide due to rainfall includes: if the prediction function Y is less than 0.3, it indicates that the landslide due to rainfall will not occur, which is recorded as A1; if the prediction function is 0.3≤Y≤0.7, it indicates that the landslide due to rainfall may occur, which is recorded as A2; if the prediction function Y>0.7, it indicates that the landslide due to rainfall will occur, which is recorded as A3; 当降雨滑坡地质灾害可能发生时,通过风险评估模型进一步确定。When rainfall-landslide geological disasters are likely to occur, they are further determined through risk assessment models. 6.如权利要求5所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述风险评估模型表示为,6. The method for predicting failure of transmission tower geological disasters based on finite element model according to claim 5, characterized in that: the risk assessment model is expressed as: 其中,Q表示降雨滑坡地质灾害的风险评估值,T(u)表示降雨量函数,H表示地质稳定性指数;Among them, Q represents the risk assessment value of rainfall landslide geological disasters, T(u) represents the rainfall function, and H represents the geological stability index; 若Q大于阈值,则进一步确定降雨滑坡地质灾害必发生,记为B1;If Q is greater than the threshold, it is further determined that the rainfall landslide geological disaster will occur, which is recorded as B1; 若Q小于阈值,则进一步确定降雨滑坡地质灾害必不发生,记为B2。If Q is less than the threshold, it is further determined that the rainfall landslide geological disaster will not occur, which is recorded as B2. 7.如权利要求6所述的基于有限元模型的输电塔地质灾害失效预测方法,其特征在于:所述采取相应措施包括,若当前状态为A1时,则继续使用先进的传感器或卫星数据实时进行常规的地质和气象监测,同时检查并保持现有的安全措施和预警系统,收集和分析地质、气象和结构数据,用于未来的分析和预测模型优化;7. The method for predicting failure of transmission towers due to geological disasters based on a finite element model as claimed in claim 6, characterized in that: the taking of corresponding measures includes, if the current state is A1, continuing to use advanced sensors or satellite data to conduct conventional geological and meteorological monitoring in real time, while checking and maintaining existing safety measures and early warning systems, collecting and analyzing geological, meteorological and structural data for future analysis and prediction model optimization; 若当前状态为A2且进一步确定状态为B1时,则立即通过多种渠道包括广播、手机应用、社交媒体向公众发出预警,启动疏散计划,部署紧急救援队伍和物资,同时持续监控情况发展,并实时更新信息;If the current status is A2 and it is further confirmed that the status is B1, an alert will be immediately issued to the public through multiple channels including broadcasting, mobile phone applications, and social media, and an evacuation plan will be initiated, emergency rescue teams and supplies will be deployed, and the situation will be continuously monitored and updated in real time; 若当前状态为A2且进一步确定状态为B2时,则对采集的数据进行深入分析,确定风险评估模型的准确性,根据最新评估,向公众发出最新评估结果,解除发出的预警,根据最新的风险评估结果,复审和调整现有的应急预案和策略;If the current status is A2 and it is further determined that the status is B2, the collected data will be analyzed in depth to determine the accuracy of the risk assessment model. Based on the latest assessment, the latest assessment results will be issued to the public, the issued warning will be lifted, and the existing emergency plans and strategies will be reviewed and adjusted based on the latest risk assessment results; 若当前状态为A3时,则立即采取紧急措施,立即实施疏散计划,优先疏散高风险区域的居民,确保疏散路线的安全,预先设定救援队伍和装备的集结点。If the current status is A3, emergency measures will be taken immediately, the evacuation plan will be implemented immediately, residents in high-risk areas will be evacuated first, the safety of the evacuation routes will be ensured, and assembly points for rescue teams and equipment will be set in advance. 8.一种采用如权利要求1~7任一所述的基于有限元模型的输电塔地质灾害失效预测方法的系统,其特征在于:包括数据采集模块、有限元模型构建模块、灾害预测模块以及风险评估模块;8. A system using the transmission tower geological disaster failure prediction method based on the finite element model as claimed in any one of claims 1 to 7, characterized in that it comprises a data acquisition module, a finite element model construction module, a disaster prediction module and a risk assessment module; 所述数据采集模块负责收集输电塔相关数据,包括结构设计、位置信息、岩土地质资料、边坡数据以及降雨数据;The data acquisition module is responsible for collecting transmission tower related data, including structural design, location information, geotechnical data, slope data and rainfall data; 所述有限元模型构建模块负责使用所收集的数据来建立有限元模型;The finite element model building module is responsible for building a finite element model using the collected data; 所述灾害预测模块预测降雨滑坡地质灾害的可能性;The disaster prediction module predicts the possibility of rainfall landslide geological disasters; 所述风险评估模块负责当预测出可能发生降雨滑坡地质灾害时,使用风险评估模型来进一步确定灾害的可能性。The risk assessment module is responsible for using the risk assessment model to further determine the possibility of the disaster when a possible rainfall landslide geological disaster is predicted. 9.一种计算机设备,包括存储器和处理器,所述存储器存储有计算机程序,其特征在于,所述处理器执行所述计算机程序时实现权利要求1至7中任一项所述的基于有限元模型的输电塔地质灾害失效预测方法的步骤。9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of the method for predicting failure of transmission tower geological disasters based on a finite element model as described in any one of claims 1 to 7 when executing the computer program. 10.一种计算机可读存储介质,其上存储有计算机程序,其特征在于,所述计算机程序被处理器执行时实现权利要求1至7中任一项所述基于有限元模型的输电塔地质灾害失效预测方法的步骤。10. A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for predicting failure of a transmission tower geological disaster based on a finite element model as described in any one of claims 1 to 7 are implemented.
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CN118280072A (en) * 2024-06-03 2024-07-02 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队) Geological disaster early warning system with high stability

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CN118280072A (en) * 2024-06-03 2024-07-02 山东省鲁南地质工程勘察院(山东省地质矿产勘查开发局第二地质大队) Geological disaster early warning system with high stability

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