An intelligent and visual risk assessment method for transmission towers under typhoon disasters
A transmission tower, risk assessment technology, applied in the direction of electrical digital data processing, structured data retrieval, instruments, etc., can solve problems such as strong subjectivity, insufficient consideration factors, complex calculations, etc., to achieve good applicability and avoid subjectivity , the effect of high computational efficiency
Active Publication Date: 2022-02-01
WUHAN UNIV OF TECH
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[0005] The present invention mainly solves the problems of the existing power system risk assessment methods under typhoon disasters, such as insufficient considerations, strong subjectivity, and complicated calculations, and proposes an intelligent and visualized risk assessment method for transmission towers under typhoon disasters. Information, equipment operation information, geographic information and other factors, using parameter optimization and machine learning algorithms to establish a tower damage probability prediction intelligent model, and on this basis, a combined model based on the unequal weighted goodness-of-fit method is proposed
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[0035] The technical solutions of the present invention will be further specifically described below through specific embodiments and in conjunction with the accompanying drawings.
[0036] An embodiment provides an intelligent and visualized risk assessment method for power transmission towers under typhoon disasters, including the following steps:
[0037] Step 1. Establish a data layer, use typhoon information, tower information, geographic information, etc. to establish a spatially multivariate heterogeneous database, and preprocess these information, and extract data according to the model side and target side respectively.
[0038] In step 1, the typhoon information includes the maximum gust V (maximum gust), the tower information includes V' (design wind speed), T (running time), etc., and the geographical information includes H (altitude), A (aspect), S (slope) , P (slope position), U (underlying surface type), R (surface roughness) and other variables, see Table 2;
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The invention relates to a method for intelligently visualized risk assessment of tower damage under typhoon disasters. Extract data from the target side; establish a knowledge extraction layer, and use hyperparameter optimization and goodness-of-fit method to establish an intelligent model for predicting the damage probability of transmission towers; in the establishment of a visualization processing layer, use ArcGIS to visualize the prediction results. The present invention comprehensively considers factors such as typhoon information, tower information, geographic information, etc., and uses parameter optimization algorithms to avoid the subjectivity of parameter selection, ensuring the prediction accuracy and applicability of the model; using machine learning algorithms to improve calculation efficiency, especially suitable for For large-scale prediction; a combined model based on the unequal weighted goodness-of-fit method is proposed, which can integrate the advantages of multiple algorithms and improve the prediction accuracy of the tower damage probability.
Description
technical field [0001] The invention relates to a risk assessment method for power transmission and transformation equipment, in particular to an intelligent and visualized risk assessment method for power transmission towers under typhoon disasters, and belongs to the field of power system risk assessment. Background technique [0002] As one of the extreme weather, typhoon has a huge impact on the power system. It will not only cause damage to power equipment, but also cause large-scale blackouts, which will seriously affect people's production and life. Therefore, it is very necessary to study the safety risks of power systems under typhoon disasters. . The risk assessment and visualization research of power system under typhoon disaster has important scientific significance and engineering application value for disaster prevention and mitigation of power system. Relevant studies have pointed out that most of the failures in typhoon weather are caused by tower failures, ...
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IPC IPC(8): G06F16/29G06F16/248
Inventor 侯慧于士文吴细秀李显强唐金锐耿浩俞菊芳
Owner WUHAN UNIV OF TECH