Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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Large-area deep foundation pit holographic monitoring method based on image recognition technology
The invention belongs to the technical field of building construction, and particularly relates to a large-area deep foundation pit holographic monitoring method based on an image recognition technology. According to the method, a soil parameter sensor and a multifunctional environment monitor which are used for acquiring environment information of the large-area deep foundation pit are adopted; the method comprises the following steps: preprocessing acquired image information; meanwhile, environment information of the periphery and local construction areas of the foundation pit is collected; extracting features related to soil displacement from the image, wherein the features comprise earth surface texture, edge information and color change; the acquired image information is stored through the image storage module, and the environment information is managed through the data management module, so that each acquired image and each piece of environment data are ensured to have timestamps for subsequent comparison and analysis; monitoring and calculating a soil body around the foundation pit according to the obtained information, carrying out back analysis on soil layer parameters through a finite element model and a BP neural network algorithm, and further predicting deformation of a supporting structure; the obtained deformation data is converted into real-time visual data, and field early warning is carried out through the real-time visual data. The image recognition technology can provide faster real-time monitoring, and changes and abnormal conditions in the foundation pit engineering can be detected in time by continuously analyzing image data, so that problems can be found and processed earlier.
本发明属于建筑施工技术领域，具体涉及一种基于图像识别技术的大面积深基坑全息监测方法。该方法采用用于获取大面积深基坑的环境信息的土壤参数传感器、多功能环境监测仪；方法步骤为：对采集到的图像信息进行预处理；同时收集基坑周边和局部施工区域的环境信息；从图像中提取与土体位移相关的特征，包括地表纹理、边缘信息、颜色变化；所获取的图像信息通过像存储模块存储，环境信息通过数据管理模块进行管理，确保每张所获得的图像、每条环境数据都带有时间戳，用于后续的比对和分析；所获得的信息进行基坑周边土体监测与计算，并通过有限元模型和BP神经网络算法进行土层参数的反分析并进一步预测支护结构的变形；所得到的变形数据转化为实时的可视化数据，通过该实时的可视化数据进行现场预警。本发明所运用的图像识别技术能够提供更快的实时监测，通过持续不断地分析图像数据，可以及时检测到基坑工程中的变化和异常情况，使得问题能够更早地被发现和处理。
Large-area deep foundation pit holographic monitoring method based on image recognition technology
The invention belongs to the technical field of building construction, and particularly relates to a large-area deep foundation pit holographic monitoring method based on an image recognition technology. According to the method, a soil parameter sensor and a multifunctional environment monitor which are used for acquiring environment information of the large-area deep foundation pit are adopted; the method comprises the following steps: preprocessing acquired image information; meanwhile, environment information of the periphery and local construction areas of the foundation pit is collected; extracting features related to soil displacement from the image, wherein the features comprise earth surface texture, edge information and color change; the acquired image information is stored through the image storage module, and the environment information is managed through the data management module, so that each acquired image and each piece of environment data are ensured to have timestamps for subsequent comparison and analysis; monitoring and calculating a soil body around the foundation pit according to the obtained information, carrying out back analysis on soil layer parameters through a finite element model and a BP neural network algorithm, and further predicting deformation of a supporting structure; the obtained deformation data is converted into real-time visual data, and field early warning is carried out through the real-time visual data. The image recognition technology can provide faster real-time monitoring, and changes and abnormal conditions in the foundation pit engineering can be detected in time by continuously analyzing image data, so that problems can be found and processed earlier.
本发明属于建筑施工技术领域，具体涉及一种基于图像识别技术的大面积深基坑全息监测方法。该方法采用用于获取大面积深基坑的环境信息的土壤参数传感器、多功能环境监测仪；方法步骤为：对采集到的图像信息进行预处理；同时收集基坑周边和局部施工区域的环境信息；从图像中提取与土体位移相关的特征，包括地表纹理、边缘信息、颜色变化；所获取的图像信息通过像存储模块存储，环境信息通过数据管理模块进行管理，确保每张所获得的图像、每条环境数据都带有时间戳，用于后续的比对和分析；所获得的信息进行基坑周边土体监测与计算，并通过有限元模型和BP神经网络算法进行土层参数的反分析并进一步预测支护结构的变形；所得到的变形数据转化为实时的可视化数据，通过该实时的可视化数据进行现场预警。本发明所运用的图像识别技术能够提供更快的实时监测，通过持续不断地分析图像数据，可以及时检测到基坑工程中的变化和异常情况，使得问题能够更早地被发现和处理。
Large-area deep foundation pit holographic monitoring method based on image recognition technology
一种基于图像识别技术的大面积深基坑全息监测方法
VOURET (Autor:in) / GAO TANGJIA (Autor:in)
02.07.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
E02D
FOUNDATIONS
,
Gründungen
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06T
Bilddatenverarbeitung oder Bilddatenerzeugung allgemein
,
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
/
G06V
/
G08B
SIGNALLING OR CALLING SYSTEMS
,
Signalisier- oder Rufsysteme
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