Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Foundation bearing capacity detection method
The invention discloses a foundation bearing capacity detection method, and relates to the technical field of foundation maximum bearing capacity detection, and the method comprises the steps: obtaining a plurality of groups of historical training data of a foundation in advance, and generating a first neural network model set for predicting various appearance features of the foundation in the future based on an environment time curve and an appearance feature time curve set; training a second neural network model for predicting the maximum bearing capacity of the foundation based on historical basic data, environmental data, image data and bearing capacity data of all foundations in the historical training data, and predicting a future appearance feature set by using the first neural network model based on the environmental data and the image data of the to-be-detected foundation, based on the future appearance feature set and the basic data of the foundation, using a second neural network model to predict the future maximum bearing capacity of the foundation; the maximum bearing capacity of the foundation can be predicted in advance when the maximum bearing capacity of the foundation is reduced along with rainfall.
本发明公开了一种地基承载力检测方法，涉及地基最大承载力检测技术领域，通过预先获取若干组地基的历史训练数据，基于环境时间曲线和外观特征时间曲线集合，生成预测未来地基各项外观特征的第一神经网络模型集合，基于历史训练数据中所有地基的历史的基础数据、环境数据、图像数据以及承载力数据，训练预测地基最大承载力的第二神经网络模型，基于待检测地基的环境数据和图像数据，使用第一神经网络模型预测未来的外观特征集合，基于未来的外观特征集合以及地基的基础数据，使用第二神经网络模型预测未来地基最大承载力；实现在地基随降雨导致地基最大承载力下降时，对地基的最大承载力进行提前预测。
Foundation bearing capacity detection method
The invention discloses a foundation bearing capacity detection method, and relates to the technical field of foundation maximum bearing capacity detection, and the method comprises the steps: obtaining a plurality of groups of historical training data of a foundation in advance, and generating a first neural network model set for predicting various appearance features of the foundation in the future based on an environment time curve and an appearance feature time curve set; training a second neural network model for predicting the maximum bearing capacity of the foundation based on historical basic data, environmental data, image data and bearing capacity data of all foundations in the historical training data, and predicting a future appearance feature set by using the first neural network model based on the environmental data and the image data of the to-be-detected foundation, based on the future appearance feature set and the basic data of the foundation, using a second neural network model to predict the future maximum bearing capacity of the foundation; the maximum bearing capacity of the foundation can be predicted in advance when the maximum bearing capacity of the foundation is reduced along with rainfall.
本发明公开了一种地基承载力检测方法，涉及地基最大承载力检测技术领域，通过预先获取若干组地基的历史训练数据，基于环境时间曲线和外观特征时间曲线集合，生成预测未来地基各项外观特征的第一神经网络模型集合，基于历史训练数据中所有地基的历史的基础数据、环境数据、图像数据以及承载力数据，训练预测地基最大承载力的第二神经网络模型，基于待检测地基的环境数据和图像数据，使用第一神经网络模型预测未来的外观特征集合，基于未来的外观特征集合以及地基的基础数据，使用第二神经网络模型预测未来地基最大承载力；实现在地基随降雨导致地基最大承载力下降时，对地基的最大承载力进行提前预测。
Foundation bearing capacity detection method
一种地基承载力检测方法
HAN XINGXING (Autor:in) / LIU XUEMAN (Autor:in)
10.10.2023
Patent
Elektronische Ressource
Chinesisch
IPC:
G06V
/
E02D
FOUNDATIONS
,
Gründungen
/
G01N
Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften
,
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
/
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
| Europäisches Patentamt | 2021