scholarly journals Application of an adaptive weighted estimation fusion algorithm in landslide deformation monitoring data processing

2020 ◽  
Vol 570 ◽  
pp. 062045
Author(s):  
Zhang Yaohui ◽  
Wang Li ◽  
Shu Bao ◽  
He Haibo ◽  
Li Long
Keyword(s):  
Data Processing ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Fusion Algorithm ◽  
Landslide Deformation ◽  
Estimation Fusion ◽  
Monitoring Data Processing ◽  
Weighted Estimation

Study on the Information Processing Technology of Deformation Monitoring Data in the Underground Engineering

2013 ◽  
Vol 353-356 ◽  
pp. 1555-1558
Author(s):  
Ke Wu ◽  
Ke Zhang ◽  
Cheng Jun Wang ◽  
Chuang Zhao
Keyword(s):  
Data Processing ◽  
Measurement Data ◽  
Processing System ◽  
Deformation Monitoring ◽  
Surrounding Rock ◽  
Monitoring Data ◽  
Dynamic Monitoring ◽  
Information Control ◽  
Underground Engineering ◽  
Engineering Construction

The deformation monitoring of surrounding rock and data processing in tunnel is the foundation and safety technical support of underground engineering information control and management. However, due to the special environment in the underground engineering construction, acquiring the deformation information of surrounding rock accurately and fast to assess the stability of surrounding rock is becoming one of the bottleneck problems for underground construction project information to be solved. According to the underground engineering projects, Based on the dynamic monitoring data processing and analysis, a set of underground engineering construction monitoring measurement data processing system is established, which can meet the acquisition of the monitoring measurement data, the arrangement of the measured data, data analysis and feedback, the monitoring data regression analysis.

Design of Mine Production Safety Monitoring System

2012 ◽  
Vol 503-504 ◽  
pp. 1330-1333
Author(s):  
Yan Kun Wang ◽  
Yun Xu Shi ◽  
Hong Mei Fan
Keyword(s):  
Data Processing ◽  
Monitoring System ◽  
Processing System ◽  
Safety Monitoring ◽  
Monitoring Data ◽  
Data Processing System ◽  
Network Systems ◽  
Safety Monitoring System ◽  
Monitoring Data Processing ◽  
And Control

The mine safety monitoring system is a set of sensor technology, electronics technology, power electronics technology, computer technology, wireless communication and network technology in one of China's leading multi-functional computer network systems, including underground, Inoue environment and equipment the detection of network systems and the Inoue monitoring data processing system. Environment and equipment for testing network system to achieve underground, of Inoue environment physical monitoring and control; monitoring data processing system is a comprehensive treatment of the collected data in order to achieve the sub-station set up and control equipment or detection sensors, through LAN detection information sharing, may constitute the enterprise information system.

scholarly journals Multi-modal Landslide Monitoring Data Fusion Algorithm Based on Resistivity Imaging

2021 ◽  
Author(s):  
Haning Xu ◽  
Juzhi Deng ◽  
Xiaoqing Xu ◽  
Jian Zhang ◽  
Gang Li ◽  
...  
Keyword(s):  
Deformation Process ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Landslide Monitoring ◽  
Layer By Layer ◽  
Semantic Matching ◽  
Imaging Data ◽  
Fusion Algorithm ◽  
Modal Data ◽  
Resistivity Imaging

Abstract In the process of landslide deformation monitoring, the indicators of monitoring system based on surface displacement cannot accurately reflect the deformation evolution law of deep geotechnical body. Although the joint time curve of deep displacement monitoring of borehole and related monitoring data can reflect the deformation characteristics inside the slope body, it cannot spatially describe and explain the overall deformation process of geotechnical body completely due to the limitation of technical conditions such as borehole. In this paper, using the characteristics of resistivity imaging technology with fast and accurate collection of electrical information of subsurface medium and multi-dimensional imaging, we take resistivity imaging data as complete modal data and fuse deep displacement and groundwater level and other modal data. Through joint depth matrix decomposition and optimization, layer-by-layer modal semantic matching and updating, the distribution and representation differences of modal data are compensated, and the analysis tasks such as classification and clustering of incomplete multimodal data are completed, and the inversion results of resistivity data are updated according to the output modal shared eigenvalues to realize effective multidimensional imaging monitoring of the internal deformation process of landslide geological bodies.

scholarly journals LOCALIZATION OF SOIL MONITORING DATA PROCESSING

2021 ◽  
pp. 22-25
Author(s):  
V. Fartukov ◽  
N. Hanov
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Analysis ◽  
Data Processing ◽  
The State ◽  
Monitoring Data ◽  
Soil Monitoring ◽  
Monitoring Data Processing ◽  
State Of The Field

A tree of data analysis for the formation and preprocessing, storage and protection of data based on Big Data and Blockchain technologies has been developed. The developed algorithm allows for the classification of data on the state of the field, split testing of data, forecasting and machine learning for the implementation of differential irrigation with sprinklers.

Sign in / Sign up

Export Citation Format

Share Document