Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Deep foundation pit monitoring data acquisition method and system
The invention relates to the technical field of civil engineering monitoring, in particular to a deep foundation pit monitoring data acquisition method and system, and the method comprises the following steps: based on a ground penetration radar and a sound wave sensor, employing a signal acquisition algorithm, carrying out stratum reflection data acquisition, carrying out data preliminary filtering, and generating enhanced stratum reflection data. According to the deep foundation pit monitoring data acquisition method, the ground penetration radar and the sonic sensor are combined, and the data accuracy and the frequency domain feature fineness are improved through the fast Fourier transform algorithm. Data security is guaranteed by adopting dual encryption of an elliptic curve encryption algorithm and an RSA asymmetric encryption algorithm, and abnormal mode analysis is performed by utilizing a neural network mode recognition algorithm, so that the capability of accurately recognizing potential risks is improved, and risk assessment is more accurate. Fine division and timely early warning are achieved through a multi-stage early warning algorithm, the early warning response timeliness and accuracy are improved, and an efficient and accurate technical means is provided for deep foundation pit safety monitoring.
本发明涉及土木工程监测技术领域，具体为一种深基坑监测数据采集方法及系统，包括以下步骤，基于地面渗透雷达和声波传感器，采用信号采集算法，进行地层反射数据采集，并进行数据初步滤波，生成增强地层反射数据。本发明中，深基坑监测数据采集方法结合地面渗透雷达和声波传感器，通过快速傅里叶变换算法，提高数据准确度和频率域特征细腻度。采用椭圆曲线加密算法和RSA非对称加密算法双重加密保障数据安全性，利用神经网络模式识别算法进行异常模式分析，提升对潜在危险的精确识别能力，使风险评估更准确。通过多级预警算法实现精细划分和及时预警，提高预警响应时效性和准确性，为深基坑安全监测提供高效、精准的技术手段。
Deep foundation pit monitoring data acquisition method and system
The invention relates to the technical field of civil engineering monitoring, in particular to a deep foundation pit monitoring data acquisition method and system, and the method comprises the following steps: based on a ground penetration radar and a sound wave sensor, employing a signal acquisition algorithm, carrying out stratum reflection data acquisition, carrying out data preliminary filtering, and generating enhanced stratum reflection data. According to the deep foundation pit monitoring data acquisition method, the ground penetration radar and the sonic sensor are combined, and the data accuracy and the frequency domain feature fineness are improved through the fast Fourier transform algorithm. Data security is guaranteed by adopting dual encryption of an elliptic curve encryption algorithm and an RSA asymmetric encryption algorithm, and abnormal mode analysis is performed by utilizing a neural network mode recognition algorithm, so that the capability of accurately recognizing potential risks is improved, and risk assessment is more accurate. Fine division and timely early warning are achieved through a multi-stage early warning algorithm, the early warning response timeliness and accuracy are improved, and an efficient and accurate technical means is provided for deep foundation pit safety monitoring.
本发明涉及土木工程监测技术领域，具体为一种深基坑监测数据采集方法及系统，包括以下步骤，基于地面渗透雷达和声波传感器，采用信号采集算法，进行地层反射数据采集，并进行数据初步滤波，生成增强地层反射数据。本发明中，深基坑监测数据采集方法结合地面渗透雷达和声波传感器，通过快速傅里叶变换算法，提高数据准确度和频率域特征细腻度。采用椭圆曲线加密算法和RSA非对称加密算法双重加密保障数据安全性，利用神经网络模式识别算法进行异常模式分析，提升对潜在危险的精确识别能力，使风险评估更准确。通过多级预警算法实现精细划分和及时预警，提高预警响应时效性和准确性，为深基坑安全监测提供高效、精准的技术手段。
Deep foundation pit monitoring data acquisition method and system
一种深基坑监测数据采集方法及系统
ZHOU GUITING (Autor:in) / ZHANG ZHIHONG (Autor:in)
20.02.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
G01D
MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
,
Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein
/
E02D
FOUNDATIONS
,
Gründungen
/
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
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