Full-life-cycle economical efficiency analysis method and device for power transmission tower under environmental loads of wind, ice and like

Abstract

The invention relates to the technical field of power transmission, in particular to a full-life-cycle economical efficiency analysis method and device for a power transmission tower under environmental loads such as wind and ice. The method comprises the steps of obtaining environment load data of an environment where a power transmission tower is located and cost data corresponding to the power transmission tower; performing first analysis on fatigue life and damage accumulation of the power transmission tower according to the environmental load data to obtain a life damage analysis result; and according to the environment load data, the life damage analysis result and the cost data, carrying out second analysis on the life cycle cost of the power transmission tower to obtain a life cycle cost analysis result. Accurate fatigue life analysis and damage analysis are carried out on the power transmission tower under the strong wind icing environment load, it is guaranteed that operation and maintenance personnel can accurately obtain the tower body state of the power transmission tower in real time, it is guaranteed that the tower body of the power transmission tower is maintained in time, the service life of the power transmission tower is prevented from being affected, and the service life of the power transmission tower is prolonged. And the use cost of the power transmission tower is reduced.

Description

Technical Field

[0001] The present application relates to the field of power transmission technology, and in particular to a method and device for analyzing the full life cycle economic performance of a transmission tower under environmental loads such as wind and ice. Background Art

[0002] Transmission towers, as critical infrastructure for power transmission, are exposed to the elements for extended periods. Wind and ice loads are key external forces that require consideration in their design and operation. Wind vibration and icing can combine to cause structural fatigue, localized damage, and even complete failure, severely impacting the safety and service life of transmission towers.

[0003] However, under the environmental load of strong wind and ice, it is difficult to effectively analyze the life of the transmission tower, resulting in the operation and maintenance personnel being unable to accurately know the tower status of the transmission tower, affecting the timely maintenance of the transmission tower and affecting the service life of the transmission tower. Summary of the Invention

[0004] Based on this, it is necessary to provide a method and device for analyzing the economic performance of transmission towers throughout their life cycle under environmental loads such as wind and ice, which can accurately and effectively analyze the life of transmission towers in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice. The method comprises:

[0006] Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower;

[0007] performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result;

[0008] A second analysis is performed on the full life cycle cost of the transmission tower based on the environmental load data, the life damage analysis result, and the cost data to obtain a full life cycle cost analysis result.

[0009] In one embodiment, performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result includes:

[0010] Constructing a nonlinear mapping relationship between various types of environmental sub-data in the environmental load data according to a convolutional neural network;

[0011] extracting time series features from the environmental load data based on long short-term memory network learning;

[0012] A first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to the nonlinear mapping relationship and the time series characteristics to obtain a life-damage analysis result.

[0013] In one embodiment, performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the nonlinear mapping relationship and the time series characteristics to obtain a life damage analysis result includes:

[0014] Constructing an adaptive fatigue life model according to the nonlinear mapping relationship and the time series characteristics;

[0015] Based on the real-time load data collected in real time, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to the adaptive fatigue life model to obtain a life damage analysis result.

[0016] In one embodiment, the environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

[0017] In one embodiment, the second analysis of the life cycle cost of the transmission tower is performed based on the environmental load data, the life damage analysis result, and the cost data to obtain a life cycle cost analysis result, including:

[0018] Optimizing and adjusting the decommissioning cost in the cost data based on the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of initial investment, maintenance cost, and decommissioning cost;

[0019] A second analysis is performed on the full life cycle cost of the transmission tower based on the optimized cost data to obtain a full life cycle cost analysis result.

[0020] In one embodiment, performing a second analysis on the life cycle cost of the transmission tower based on the optimized cost data to obtain a life cycle cost analysis result includes:

[0021] Build a full life cycle cost model;

[0022] Based on the life cycle cost model, a second analysis is performed on the life cycle cost of the transmission tower according to the optimized cost data to obtain a life cycle cost analysis result.

[0023] In one embodiment, the method further comprises:

[0024] Obtaining design parameters of the transmission tower;

[0025] According to minimizing the cost and minimizing the maximum stress, the design parameters of the transmission tower are optimized to obtain optimized target parameters.

[0026] In a second aspect, the present application also provides a device for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice. The device comprises:

[0027] Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower;

[0028] performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result;

[0029] performing a second analysis on the life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result;

[0030] According to the life damage analysis result and the full life cycle cost analysis result, the full life cycle economic analysis result of the transmission tower under environmental loads such as wind and ice is determined.

[0031] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0032] Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower;

[0033] performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result;

[0034] performing a second analysis on the life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result;

[0035] According to the life damage analysis result and the full life cycle cost analysis result, the full life cycle economic analysis result of the transmission tower under environmental loads such as wind and ice is determined.

[0036] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0037] Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower;

[0038] performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result;

[0039] performing a second analysis on the life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result;

[0040] According to the life damage analysis result and the full life cycle cost analysis result, the full life cycle economic analysis result of the transmission tower under environmental loads such as wind and ice is determined.

[0041] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the following steps:

[0042] Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower;

[0043] performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result;

[0044] performing a second analysis on the life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result;

[0045] According to the life damage analysis result and the full life cycle cost analysis result, the full life cycle economic analysis result of the transmission tower under environmental loads such as wind and ice is determined.

[0046] The above-mentioned method and device for analyzing the full life cycle economic efficiency of a transmission tower under environmental loads such as wind and ice obtain environmental load data and cost data; then, based on the environmental load data, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower to obtain a life damage analysis result; and a second analysis is performed on the full life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result; finally, based on the life damage analysis result and the life cycle cost analysis result, the full life cycle economic efficiency analysis result of the transmission tower under environmental loads such as wind and ice is determined. According to the above content, the present application realizes obtaining the actual environmental conditions and actual cost conditions of the environment in which the transmission tower is located through the environmental load data of the environment in which the transmission tower is located and the cost data corresponding to the transmission tower. Then, through the actual environmental conditions and actual cost conditions, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower, and a second analysis is performed on the full life cycle cost. Then, based on the life damage analysis results obtained by the first analysis and the full life cycle cost analysis results obtained by the second analysis, the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice are determined; accurate fatigue life analysis and damage analysis of the transmission tower under environmental loads such as strong wind and icing are achieved, thereby ensuring that the operation and maintenance personnel can accurately obtain the tower body status of the transmission tower in real time, ensure timely tower body maintenance of the transmission tower, prevent impact on the service life of the transmission tower, and reduce the use cost of the transmission tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 An application environment diagram of a method for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice, provided in an embodiment of the present application;

[0048] Figure 2 A flow chart of a first method for analyzing the economic performance of a transmission tower under wind and ice loads and other environmental conditions, provided in an embodiment of the present application;

[0049] Figure 3 A flow chart of a second method for analyzing the full life cycle economic performance of a transmission tower under environmental loads such as wind and ice, provided in an embodiment of the present application;

[0050] Figure 4 A flow chart of a third method for analyzing the economic performance of a transmission tower under wind and ice loads and other environmental conditions provided in an embodiment of the present application;

[0051] Figure 5 A flow chart of a fourth method for analyzing the economic performance of a transmission tower under wind and ice loads and other environmental conditions provided in an embodiment of the present application;

[0052] Figure 6A flow chart of a fifth method for analyzing the full life cycle economic performance of a transmission tower under environmental loads such as wind and ice, provided in an embodiment of the present application;

[0053] Figure 7 A structural block diagram of a device for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice, provided in an embodiment of the present application;

[0054] Figure 8 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0056] The full life cycle economic analysis method of the transmission tower under environmental loads such as wind and ice provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store data that server 104 needs to process. The data storage system can be integrated with server 104, or located in the cloud or on other network servers. Environmental load data and cost data are obtained; a first analysis of the fatigue life and damage accumulation of the transmission tower is performed based on the environmental load data to obtain a life-damage analysis result. A second analysis of the life-cycle cost of the transmission tower is performed based on the life-damage analysis result and the cost data to obtain a life-cycle cost analysis result. Finally, based on the life-damage analysis result and the life-cycle cost analysis result, a life-cycle economic analysis result of the transmission tower under environmental loads such as wind and ice is determined. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart car devices, etc. Portable wearable devices can include smart watches, smart bracelets, head-mounted devices, etc. Server 104 can be implemented as a standalone server or a server cluster consisting of multiple servers.

[0057] In one embodiment, Figure 2 As shown in the figure, a method for analyzing the economic performance of transmission towers under wind and ice loads is provided. Figure 1 Taking the server 104 in the example as an example, the following steps are included:

[0058] S201, obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower.

[0059] It should be noted that the environmental load data is used to characterize the environmental load that the transmission tower bears in the current environment, and the cost data is used to characterize the cost of the transmission tower in the initial investment stage, operation and maintenance stage, and final decommissioning stage.

[0060] Specifically, the environmental load data includes at least one of meteorological data and icing data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data, and air pressure data; the icing data includes at least one of ice thickness and ice area. The cost data includes at least one of initial investment, maintenance cost, and decommissioning cost;

[0061] It is further explained that when it is necessary to obtain environmental load data of the environment in which the transmission tower is located, a data sensor can be set on the tower body of the transmission tower in advance, so that the environmental load data of the environment in which the transmission tower is located can be obtained in real time through the data sensor.

[0062] In one embodiment of the present application, the data sensor may include a meteorological data sensor for meteorological data and an icing data sensor for icing data. Furthermore, by respectively arranging the meteorological data sensor and the icing data sensor on the tower body of the power tower, the meteorological data and icing data included in the environmental load data can be obtained in real time through the meteorological data sensor and the icing data sensor.

[0063] In one embodiment of the present application, when it is necessary to obtain cost data corresponding to a transmission tower, data can be recorded in advance at various stages of the transmission tower (commissioning stage, operation and maintenance stage, and final decommissioning stage), and then, when it is necessary to obtain cost data corresponding to the transmission tower, the stored cost data can be extracted from the database.

[0064] It is further explained that after obtaining the environmental load data and cost data, the environmental load data and cost data can also be preprocessed, wherein the data preprocessing includes operations such as data cleaning, normalization and feature selection. The specific content of the data preprocessing is not limited here.

[0065] In one embodiment of the present application, when data preprocessing is required for environmental load data and cost data, feature engineering technology can be used to extract the most relevant and representative features in the environmental load data and cost data, wherein the feature engineering technology includes data completion and abnormal data processing, data normalization, correlation analysis and feature selection algorithm.

[0066] Among them, data completion and abnormal data processing technology estimates missing values ​​through linear interpolation; specifically, if external meteorological conditions fluctuate greatly, some data sensors installed on transmission towers may be affected, resulting in abnormal values; it is generally believed that when the wind speed is greater than 15m / s and the angle between the wind direction and the transmission tower is greater than 45 degrees, the impact of wind vibration on the structure of the transmission tower is more significant; the probability of icing on the conductors of the transmission tower is relatively high when the temperature is between -5℃ and -1℃, the wind speed is in the range of 2 to 10m / s, and the angle between the wind direction and the conductor is greater than 45 degrees; therefore, if data outside the above range appears, it must be eliminated and interpolated and covered to ensure the accuracy and reliability of the environmental load data.

[0067] Furthermore, when data normalization is required, Min-Max normalization can be used; the Min-Max normalization formula is as follows:

[0068]

[0069] Where n is the length of the data set, x1, x2, ..., x n To obtain the environmental load data and cost data, y1, y2, ..., y n These are the standardized environmental load data and cost data.

[0070] S202: Perform a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result.

[0071] In one embodiment of the present application, when a first analysis of the fatigue life and damage accumulation of a transmission tower is required, candidate load data of at least one candidate transmission tower can be obtained in advance, wherein the transmission tower structure and the service life of the candidate transmission tower are similar to the transmission tower structure and the service life of the transmission tower greater than a first similarity threshold, and the first candidate analysis result of each candidate transmission tower is known information; a reference transmission tower whose candidate load data has a similarity with the environmental load data greater than a second similarity threshold from each candidate transmission tower is selected, and the first candidate analysis result of the reference transmission tower is used as the life damage analysis result of the transmission tower.

[0072] In another embodiment of the present application, when it is necessary to perform a first analysis on the fatigue life and damage accumulation of a transmission tower, candidate load data of at least one candidate transmission tower can be obtained in advance, and the first candidate analysis results corresponding to each candidate transmission tower can be annotated manually; then, the initial analysis model is trained using the candidate load data annotated with the first candidate analysis results to obtain a first analysis model, and the environmental load data is input into the first analysis model, so that the first analysis model performs a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life damage analysis result.

[0073] S203 , performing a second analysis on the life cycle cost of the transmission tower based on the environmental load data, the life damage analysis result, and the cost data to obtain a life cycle cost analysis result.

[0074] It should be noted that in order to ensure the accuracy of the subsequent second analysis of the full life cycle cost of the transmission tower, it is necessary to ensure that the cost data can effectively reflect the actual situation of the transmission tower. Therefore, the cost data can be optimized and adjusted in advance based on the environmental load data and the life damage analysis results to obtain optimized cost data. Then, based on the optimized cost data and the life damage analysis results, a second analysis of the full life cycle cost of the transmission tower is performed to obtain the full life cycle cost analysis results.

[0075] It is further explained that a full life cycle cost model can be constructed in advance, and then the optimized cost data and life damage analysis results are input into the full life cycle cost model to perform a second analysis of the full life cycle cost of the transmission tower and obtain the full life cycle cost analysis results.

[0076] In one embodiment of the present application, after obtaining the life damage analysis results and the full life cycle cost analysis results, the life damage analysis results and the full life cycle cost analysis results are integrated to obtain the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice.

[0077] It is further explained that after obtaining the full life cycle cost analysis results, the full life cycle cost analysis results can be converted into an image format to obtain the full life cycle cost analysis results in image form, so that the full life cycle cost analysis results can be visualized; then, the life damage analysis results and the full life cycle cost analysis results in image form are integrated into the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice.

[0078] The above-mentioned method for analyzing the full life cycle economic efficiency of transmission towers under environmental loads such as wind and ice obtains environmental load data and cost data; then, based on the environmental load data, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower to obtain a life damage analysis result; and a second analysis is performed on the full life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result; finally, based on the life damage analysis result and the life cycle cost analysis result, the full life cycle economic efficiency analysis result of the transmission tower under environmental loads such as wind and ice is determined. According to the above content, the present application realizes obtaining the actual environmental conditions and actual cost conditions of the environment in which the transmission tower is located through the environmental load data of the environment in which the transmission tower is located and the cost data corresponding to the transmission tower. Then, through the actual environmental conditions and actual cost conditions, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower, and a second analysis is performed on the full life cycle cost. Then, based on the life damage analysis results obtained by the first analysis and the full life cycle cost analysis results obtained by the second analysis, the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice are determined; accurate fatigue life analysis and damage analysis of the transmission tower under environmental loads such as strong wind and icing are achieved, thereby ensuring that the operation and maintenance personnel can accurately obtain the tower body status of the transmission tower in real time, ensure timely tower body maintenance of the transmission tower, prevent impact on the service life of the transmission tower, and reduce the use cost of the transmission tower.

[0079] In one embodiment, if Figure 3 As shown, when it is necessary to perform a first analysis on the fatigue life and damage accumulation of the transmission tower based on the environmental load data to obtain the life damage analysis results, the following contents may be specifically included:

[0080] S301: Construct a nonlinear mapping relationship between various types of environmental sub-data in the environmental load data based on a convolutional neural network.

[0081] Among them, environmental sub-data include meteorological data and ice cover data.

[0082] In one embodiment of the present application, the nonlinear relationship between meteorological data and ice cover data can be learned based on a convolutional neural network (CNN); wherein the CNN includes an input layer (the number of neurons corresponds to the number of types of meteorological data), a hidden layer (convolutional layer + fully connected layer, the number of neurons is initially 2× the number of inputs + 1 and is dynamically adjusted) and an output layer (set as required).

[0083] S302: Extracting time series features from environmental load data based on long short-term memory network learning.

[0084] In one embodiment of the present application, a long short-term memory (LSTM) network can be used to learn the time series features of meteorological and ice cover data in environmental load data. The LSTM has a nine-layer structure (time series input → LSTM → fully connected → forgetting layer → LSTM → fully connected → forgetting layer → fully connected → regression output), with the number of units in each layer optimized through training.

[0085] It is further explained that after obtaining the stress time series, the rainflow counting method can be used to decompose the stress time series into stress cycles and record the stress amplitude of each stress cycle.

[0086] S303: Perform a first analysis on the fatigue life and damage accumulation of the transmission tower according to the nonlinear mapping relationship and the time series characteristics to obtain a life-damage analysis result.

[0087] It should be noted that when it is necessary to perform a first analysis on the fatigue life and damage accumulation of the transmission tower based on the nonlinear mapping relationship and time series characteristics, the following may be specifically included: constructing an adaptive fatigue life model based on the nonlinear mapping relationship and time series characteristics; performing a first analysis on the fatigue life and damage accumulation of the transmission tower based on the adaptive fatigue life model to obtain life damage analysis results.

[0088] The fatigue life curve corresponding to the adaptive fatigue life model can be expressed as:

[0089] N=C·(Δσ) -k ;

[0090] Where N is the fatigue life, Δσ is the stress amplitude, and C and k are material constants.

[0091] Furthermore, the fatigue damage accumulation is calculated using Miner's linear cumulative damage theory:

[0092]

[0093] Where D is the damage accumulation, n i is the number of cycles of the i-th stress cycle, N i is the corresponding fatigue life. When D is greater than or equal to 1, the transmission tower structure is considered to have suffered fatigue failure.

[0094] It is further explained that the historical load data of the transmission tower can be obtained and used as a training set for model training. When the linear correlation coefficient between the ice thickness obtained by CNN training and the ice monitoring value of the transmission line reaches or exceeds 0.9, it is considered to meet the accuracy requirements; the historical data of meteorological monitoring and the ice data obtained by training are used as input, and the LSTM neural network is used to continue training, with 80% of the training set data used for training and 20% used for verification.

[0095] The above-mentioned full life cycle economic analysis method for transmission towers under environmental loads such as wind and ice, when performing a first analysis of the fatigue life and damage accumulation of the transmission tower based on the nonlinear mapping relationship and time series characteristics to obtain the life damage analysis results, may include the following:

[0096] S401: Construct an adaptive fatigue life model based on the nonlinear mapping relationship and time series characteristics.

[0097] It should be noted that the nonlinear mapping relationships extracted by the CNN and the time series features learned by the LSTM are integrated to establish a quantitative relationship between multi-scale features and fatigue life through a fully connected network. This ensures that the adaptive fatigue life model can comprehensively consider the combined effects of static icing loads and dynamic wind loads, and can adaptively predict the remaining fatigue life of transmission tower structures under different meteorological conditions.

[0098] S402 : Based on the real-time load data collected in real time, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to an adaptive fatigue life model to obtain a life damage analysis result.

[0099] In one embodiment of the present application, when it is necessary to perform a first analysis on the fatigue life and damage accumulation of a transmission tower, real-time load data corresponding to the transmission tower can be obtained in real time, and the real-time load data obtained in real time can be input into an adaptive fatigue life model, so that the adaptive fatigue life model performs a first analysis on the fatigue life and damage accumulation of the transmission tower according to the real-time load data obtained in real time, and obtains a life damage analysis result.

[0100] The above-mentioned method for analyzing the full life cycle economic efficiency of transmission towers under environmental loads such as wind and ice, by constructing an adaptive fatigue life model, realizes the first analysis of the fatigue life and damage accumulation of the transmission tower based on the adaptive fatigue life model, ensures the accuracy of the life damage analysis results of the transmission tower, and provides a data basis for the subsequent second analysis of the full life cycle cost of the transmission tower.

[0101] In one embodiment, if Figure 5 As shown, when a second analysis of the life cycle cost of the transmission tower is required based on the environmental load data, the life damage analysis results, and the cost data, the life cycle cost analysis results may include the following:

[0102] S501 , optimizing and adjusting the decommissioning cost in the cost data according to the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data according to the environmental load data, to obtain optimized cost data.

[0103] The cost data includes at least one of initial investment, maintenance cost and decommissioning cost.

[0104] It should be noted that the remaining life of the transmission tower predicted in the life damage analysis results is positively correlated with the decommissioning cost. That is, the longer the remaining life of the transmission tower, the higher the required decommissioning cost. Therefore, after determining the life damage analysis results, the decommissioning cost in the cost data can be optimized and adjusted based on the relationship between the remaining life of the transmission tower and the decommissioning cost in the life damage analysis results to ensure that the decommissioning cost is more in line with the actual situation of the transmission tower.

[0105] It is further explained that the meteorological data and icing data in the environmental load data are positively correlated with the maintenance cost in the cost data. That is, the greater the impact of meteorological data and icing data on the transmission tower, the higher the maintenance cost required for the transmission tower. Therefore, after obtaining the environmental load data, the maintenance cost in the cost data can be optimized and adjusted based on the relationship between meteorological data and icing data in the environmental load data and the maintenance cost to ensure that the maintenance cost is more in line with the actual situation of the transmission tower.

[0106] S502: Perform a second analysis on the life cycle cost of the transmission tower based on the optimized cost data to obtain a life cycle cost analysis result.

[0107] It should be noted that when it is necessary to conduct a second analysis on the life cycle cost of the transmission tower based on the optimized cost data to obtain the life cycle cost analysis results, the following may be specifically included: constructing a life cycle cost model; based on the life cycle cost model, conducting a second analysis on the life cycle cost of the transmission tower based on the optimized cost data to obtain the life cycle cost analysis results.

[0108] The calculation formula of the life cycle cost model is as follows:

[0109]

[0110] Among them, C total,t Refers to the total cost in year t; C initial Refers to the initial investment cost; C maintenance，i Refers to operation and maintenance costs; C decommission It refers to the decommissioning cost, r is the discount rate, and T is the design life of the transmission tower.

[0111] It is further explained that when performing a second analysis on the life cycle cost of the transmission tower, in order to ensure the accuracy of the second analysis, the design parameters of the transmission tower can be optimized in advance to ensure that the transmission tower has the minimum cost and the minimum maximum stress under the optimized design parameters; specifically, the design parameters of the transmission tower are obtained; and based on minimizing the cost and minimizing the maximum stress, the design parameters of the transmission tower are targeted and optimized to obtain the optimized target parameters.

[0112] Design parameters may include but are not limited to: tower height, component cross-section type and size, material thickness, etc.

[0113] A multi-objective optimization formula can be pre-built to achieve target optimization of the design parameters of the transmission tower. The multi-objective optimization formula is as follows:

[0114] min[f1(x),f2(x),…,f m (x)];

[0115] Where x is a vector of decision variables, representing design parameters; f1,f2,…,f m is the objective function; m is the number of objective functions.

[0116] Among them, the objective function can be expressed as:

[0117] f1=C initical +C maint enance，i +C decommission ;

[0118] f2=max(σ1,σ2,…,σ n ;

[0119] Furthermore, the constraints on the design parameters of the transmission tower may include, but are not limited to: the maximum stress of each key part of the transmission tower does not exceed the allowable stress of the material, the deformation of each key part does not exceed the allowable deformation, and the inclination angle of the transmission tower does not exceed the allowable value.

[0120] The above-mentioned full life cycle economic analysis method for transmission towers under environmental loads such as wind and ice optimizes and adjusts the decommissioning cost in the cost data based on the results of the life damage analysis, and optimizes and adjusts the maintenance cost in the cost data based on the environmental load data to obtain optimized cost data to ensure that the optimized cost data conforms to the actual situation of the transmission tower. After conducting a second analysis of the full life cycle cost of the transmission tower based on the optimized cost data, Genori ensured the accuracy of the full life cycle cost analysis results.

[0121] In one embodiment, if Figure 6 As shown in the figure, when it is necessary to obtain the full life cycle cost analysis results, the following contents may be included:

[0122] S601: Obtain environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower.

[0123] S602: Construct a nonlinear mapping relationship between various types of environmental sub-data in the environmental load data based on a convolutional neural network.

[0124] S603: Extracting time series features from environmental load data based on long short-term memory network learning.

[0125] S604: Construct an adaptive fatigue life model based on the nonlinear mapping relationship and time series characteristics.

[0126] S605 , based on the real-time load data collected in real time, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to the adaptive fatigue life model to obtain a life damage analysis result.

[0127] S606 , optimizing and adjusting the decommissioning cost in the cost data according to the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data according to the environmental load data, to obtain optimized cost data.

[0128] S607, build a full life cycle cost model.

[0129] S608 , based on the life cycle cost model, perform a second analysis on the life cycle cost of the transmission tower according to the optimized cost data to obtain a life cycle cost analysis result.

[0130] The above-mentioned method for analyzing the full life cycle economic efficiency of transmission towers under environmental loads such as wind and ice obtains environmental load data and cost data; then, based on the environmental load data, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower to obtain a life damage analysis result; and a second analysis is performed on the full life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result; finally, based on the life damage analysis result and the life cycle cost analysis result, the full life cycle economic efficiency analysis result of the transmission tower under environmental loads such as wind and ice is determined. According to the above content, the present application realizes obtaining the actual environmental conditions and actual cost conditions of the environment in which the transmission tower is located through the environmental load data of the environment in which the transmission tower is located and the cost data corresponding to the transmission tower. Then, through the actual environmental conditions and actual cost conditions, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower, and a second analysis is performed on the full life cycle cost. Then, based on the life damage analysis results obtained by the first analysis and the full life cycle cost analysis results obtained by the second analysis, the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice are determined; accurate fatigue life analysis and damage analysis of the transmission tower under environmental loads such as strong wind and icing are achieved, thereby ensuring that the operation and maintenance personnel can accurately obtain the tower body status of the transmission tower in real time, ensure timely tower body maintenance of the transmission tower, prevent impact on the service life of the transmission tower, and reduce the use cost of the transmission tower.

[0131] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0132] Based on the same inventive concept, embodiments of the present application also provide a device for analyzing the lifecycle economic performance of transmission towers under environmental loads such as wind and ice, for implementing the aforementioned method for analyzing the lifecycle economic performance of transmission towers under environmental loads such as wind and ice. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of the embodiments of the device for analyzing the lifecycle economic performance of one or more transmission towers under environmental loads such as wind and ice provided below can be found in the aforementioned limitations of the method for analyzing the lifecycle economic performance of transmission towers under environmental loads such as wind and ice, and will not be further elaborated here.

[0133] In one embodiment, Figure 7 As shown, a device for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice is provided, comprising: an acquisition module 10, a first analysis module 20, and a second analysis module 30, wherein:

[0134] The acquisition module 10 is used to acquire environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower.

[0135] The first analysis module 20 is used to perform a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life damage analysis result.

[0136] The second analysis module 30 is used to perform a second analysis on the life cycle cost of the transmission tower according to the environmental load data, the life damage analysis result and the cost data to obtain a life cycle cost analysis result.

[0137] In one embodiment, a nonlinear mapping relationship between various types of environmental sub-data in the environmental load data is constructed based on a convolutional neural network;

[0138] Extracting time series features from environmental load data based on long short-term memory network learning;

[0139] The fatigue life and damage accumulation of transmission towers were first analyzed based on the nonlinear mapping relationship and time series characteristics, and the life-damage analysis results were obtained.

[0140] In one embodiment, an adaptive fatigue life model is constructed based on the nonlinear mapping relationship and time series characteristics;

[0141] Based on the real-time load data collected in real time, the fatigue life and damage accumulation of the transmission tower are first analyzed according to the adaptive fatigue life model to obtain the life damage analysis results.

[0142] In one embodiment, the environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

[0143] In one embodiment, the decommissioning cost in the cost data is optimized and adjusted based on the life damage analysis results, and the maintenance cost in the cost data is optimized and adjusted based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of: initial investment, maintenance cost, and decommissioning cost;

[0144] A second analysis of the full life cycle cost of the transmission tower is performed based on the optimized cost data to obtain the full life cycle cost analysis results.

[0145] In one embodiment, a life cycle cost model is constructed;

[0146] Based on the life cycle cost model, a second analysis of the life cycle cost of the transmission tower is performed according to the optimized cost data to obtain the life cycle cost analysis results.

[0147] In one embodiment, obtaining design parameters of a transmission tower;

[0148] According to minimizing cost and minimizing maximum stress, the design parameters of the transmission tower are optimized to obtain the optimized target parameters.

[0149] The above-mentioned device for analyzing the full life cycle economic performance of a transmission tower under environmental loads such as wind and ice obtains environmental load data and cost data; then, based on the environmental load data, performs a first analysis on the fatigue life and damage accumulation of the transmission tower to obtain a life damage analysis result; and performs a second analysis on the full life cycle cost of the transmission tower based on the life damage analysis result and the cost data to obtain a life cycle cost analysis result; finally, based on the life damage analysis result and the life cycle cost analysis result, determines the full life cycle economic performance of the transmission tower under environmental loads such as wind and ice. According to the above content, the present application realizes obtaining the actual environmental conditions and actual cost conditions of the environment in which the transmission tower is located through the environmental load data of the environment in which the transmission tower is located and the cost data corresponding to the transmission tower. Then, through the actual environmental conditions and actual cost conditions, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower, and a second analysis is performed on the full life cycle cost. Then, based on the life damage analysis results obtained by the first analysis and the full life cycle cost analysis results obtained by the second analysis, the full life cycle economic analysis results of the transmission tower under environmental loads such as wind and ice are determined; accurate fatigue life analysis and damage analysis of the transmission tower under environmental loads such as strong wind and icing are achieved, thereby ensuring that the operation and maintenance personnel can accurately obtain the tower body status of the transmission tower in real time, ensure timely tower body maintenance of the transmission tower, prevent impact on the service life of the transmission tower, and reduce the use cost of the transmission tower.

[0150] Each module in the above-mentioned device for analyzing the lifecycle economic performance of transmission towers under environmental loads such as wind and ice can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in the computer device's memory in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0151] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for analyzing the full life cycle economic performance of a transmission tower under environmental loads such as wind and ice is implemented. The display unit of the computer device is used to form a visually visible image, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0152] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0153] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0154] Obtain the environmental load data of the environment in which the transmission tower is located, as well as the cost data corresponding to the transmission tower;

[0155] The fatigue life and damage accumulation of transmission towers are first analyzed based on environmental load data to obtain life-damage analysis results;

[0156] A second analysis of the life cycle cost of the transmission tower is conducted based on the environmental load data, life damage analysis results and cost data to obtain the life cycle cost analysis results.

[0157] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0158] Based on the convolutional neural network, a nonlinear mapping relationship between various environmental sub-data in the environmental load data is constructed;

[0159] Extracting time series features from environmental load data based on long short-term memory network learning;

[0160] The fatigue life and damage accumulation of transmission towers are first analyzed based on the nonlinear mapping relationship and time series characteristics, and the life-damage analysis results are obtained.

[0161] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0162] According to the nonlinear mapping relationship and time series characteristics, an adaptive fatigue life model is constructed;

[0163] Based on the real-time load data collected in real time, the fatigue life and damage accumulation of the transmission tower are first analyzed according to the adaptive fatigue life model to obtain the life damage analysis results.

[0164] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0165] The environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

[0166] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0167] Optimizing and adjusting the decommissioning cost in the cost data based on the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of: initial investment, maintenance cost, and decommissioning cost;

[0168] A second analysis of the full life cycle cost of the transmission tower is performed based on the optimized cost data to obtain the full life cycle cost analysis results.

[0169] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0170] Build a full life cycle cost model;

[0171] Based on the life cycle cost model, a second analysis of the life cycle cost of the transmission tower is performed according to the optimized cost data to obtain the life cycle cost analysis results.

[0172] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0173] Obtain design parameters of transmission towers;

[0174] According to minimizing cost and minimizing maximum stress, the design parameters of the transmission tower are optimized to obtain the optimized target parameters.

[0175] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0176] Obtain the environmental load data of the environment in which the transmission tower is located, as well as the cost data corresponding to the transmission tower;

[0177] The fatigue life and damage accumulation of transmission towers are first analyzed based on environmental load data to obtain life-damage analysis results;

[0178] A second analysis of the life cycle cost of the transmission tower is conducted based on the environmental load data, life damage analysis results and cost data to obtain the life cycle cost analysis results.

[0179] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0180] Based on the convolutional neural network, a nonlinear mapping relationship between various environmental sub-data in the environmental load data is constructed;

[0181] Extracting time series features from environmental load data based on long short-term memory network learning;

[0182] The fatigue life and damage accumulation of transmission towers are first analyzed based on the nonlinear mapping relationship and time series characteristics, and the life-damage analysis results are obtained.

[0183] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0184] According to the nonlinear mapping relationship and time series characteristics, an adaptive fatigue life model is constructed;

[0185] Based on the real-time load data collected in real time, the fatigue life and damage accumulation of the transmission tower are first analyzed according to the adaptive fatigue life model to obtain the life damage analysis results.

[0186] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0187] The environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

[0188] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0189] Optimizing and adjusting the decommissioning cost in the cost data based on the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of: initial investment, maintenance cost, and decommissioning cost;

[0190] A second analysis of the full life cycle cost of the transmission tower is performed based on the optimized cost data to obtain the full life cycle cost analysis results.

[0191] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0192] Build a full life cycle cost model;

[0193] Based on the life cycle cost model, a second analysis of the life cycle cost of the transmission tower is performed according to the optimized cost data to obtain the life cycle cost analysis results.

[0194] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0195] Obtain design parameters of transmission towers;

[0196] According to minimizing cost and minimizing maximum stress, the design parameters of the transmission tower are optimized to obtain the optimized target parameters.

[0197] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0198] Obtain the environmental load data of the environment in which the transmission tower is located, as well as the cost data corresponding to the transmission tower;

[0199] The fatigue life and damage accumulation of transmission towers are first analyzed based on environmental load data to obtain life-damage analysis results;

[0200] A second analysis of the life cycle cost of the transmission tower is conducted based on the environmental load data, life damage analysis results and cost data to obtain the life cycle cost analysis results.

[0201] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0202] Based on the convolutional neural network, a nonlinear mapping relationship between various environmental sub-data in the environmental load data is constructed;

[0203] Extracting time series features from environmental load data based on long short-term memory network learning;

[0204] The fatigue life and damage accumulation of transmission towers are first analyzed based on the nonlinear mapping relationship and time series characteristics, and the life-damage analysis results are obtained.

[0205] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0206] According to the nonlinear mapping relationship and time series characteristics, an adaptive fatigue life model is constructed;

[0207] Based on the real-time load data collected in real time, the fatigue life and damage accumulation of the transmission tower are first analyzed according to the adaptive fatigue life model to obtain the life damage analysis results.

[0208] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0209] The environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

[0210] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0211] Optimizing and adjusting the decommissioning cost in the cost data based on the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of: initial investment, maintenance cost, and decommissioning cost;

[0212] A second analysis of the full life cycle cost of the transmission tower is performed based on the optimized cost data to obtain the full life cycle cost analysis results.

[0213] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0214] Build a full life cycle cost model;

[0215] Based on the life cycle cost model, a second analysis of the life cycle cost of the transmission tower is performed according to the optimized cost data to obtain the life cycle cost analysis results.

[0216] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0217] Obtain design parameters of transmission towers;

[0218] According to minimizing cost and minimizing maximum stress, the design parameters of the transmission tower are optimized to obtain the optimized target parameters.

[0219] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0220] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0221] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0222] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice, characterized in that: The method comprises: Obtaining environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower; performing a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life-damage analysis result; A second analysis is performed on the full life cycle cost of the transmission tower based on the environmental load data, the life damage analysis result, and the cost data to obtain a full life cycle cost analysis result.

2. The method according to claim 1, characterized in that The first analysis of the fatigue life and damage accumulation of the transmission tower according to the environmental load data to obtain a life damage analysis result includes: Constructing a nonlinear mapping relationship between various types of environmental sub-data in the environmental load data according to a convolutional neural network; extracting time series features from the environmental load data based on long short-term memory network learning; A first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to the nonlinear mapping relationship and the time series characteristics to obtain a life-damage analysis result.

3. The method according to claim 2, characterized in that The first analysis of the fatigue life and damage accumulation of the transmission tower according to the nonlinear mapping relationship and the time series characteristics to obtain a life damage analysis result includes: Constructing an adaptive fatigue life model according to the nonlinear mapping relationship and the time series characteristics; Based on the real-time load data collected in real time, a first analysis is performed on the fatigue life and damage accumulation of the transmission tower according to the adaptive fatigue life model to obtain a life damage analysis result.

4. The method according to claim 1, wherein The environmental load data includes at least one of meteorological data and ice cover data; the meteorological data includes at least one of wind direction and speed data, relative humidity data, temperature data, rainfall data and air pressure data; the ice cover data includes at least one of ice cover thickness and ice cover area.

5. The method according to claim 1, wherein The second analysis of the life cycle cost of the transmission tower is performed based on the environmental load data, the life damage analysis result, and the cost data to obtain a life cycle cost analysis result, including: Optimizing and adjusting the decommissioning cost in the cost data based on the life damage analysis results, and optimizing and adjusting the maintenance cost in the cost data based on the environmental load data, to obtain optimized cost data; wherein the cost data includes at least one of initial investment, maintenance cost, and decommissioning cost; A second analysis is performed on the full life cycle cost of the transmission tower based on the optimized cost data to obtain a full life cycle cost analysis result.

6. The method according to claim 5, characterized in that The second analysis of the life cycle cost of the transmission tower is performed based on the optimized cost data to obtain a life cycle cost analysis result, including: Build a full life cycle cost model; Based on the life cycle cost model, a second analysis is performed on the life cycle cost of the transmission tower according to the optimized cost data to obtain a life cycle cost analysis result.

7. The method according to claim 5, characterized in that The method further comprises: Obtaining design parameters of the transmission tower; According to minimizing the cost and minimizing the maximum stress, the design parameters of the transmission tower are optimized to obtain optimized target parameters.

8. A device for analyzing the economic performance of a transmission tower over its entire life cycle under environmental loads such as wind and ice, characterized in that: The device comprises: An acquisition module, configured to acquire environmental load data of the environment in which the transmission tower is located, and cost data corresponding to the transmission tower; a first analysis module, configured to perform a first analysis on the fatigue life and damage accumulation of the transmission tower according to the environmental load data, and obtain a life-damage analysis result; The second analysis module is used to perform a second analysis on the life cycle cost of the transmission tower according to the environmental load data, the life damage analysis result and the cost data to obtain a life cycle cost analysis result.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

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 according to any one of claims 1 to 7 are implemented.

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