Methods of measurement data processing and metrological models

2018 ◽  
pp. 9-14 ◽  
Author(s):  
T. N. Siraya
Keyword(s):  
Data Processing ◽  
Measurement Data ◽  
Methods Of Measurement

scholarly journals Application of the Takaga-Sugeno neuro-fuzzy model for determining of engineering structures

2019 ◽  
Vol 284 ◽  
pp. 08006
Author(s):  
Maria Mrówczyńska
Keyword(s):  
Data Processing ◽  
Fuzzy Systems ◽  
Measurement Data ◽  
Fuzzy Model ◽  
Qualitative Assessment ◽  
Engineering Structures ◽  
Neuro Fuzzy ◽  
Vertical Displacements ◽  
Methods Of Measurement ◽  
Neural Fuzzy

The objective of the paper is to show the role of geodetic monitoring and modern methods of measurement data processing with the use of neural-fuzzy systems in identifying changes occurring in engineering structures. Fast methods of measurement and data processing are of key importance whenever rapidly changing phenomena should be captured (e.g. deformations of buildings, fires spreading in forest areas, flood waves, landslides caused by endogenous and exogeonic factors). Processes and phenomena occurring in engineering structures can be modelled based on information obtained by geodetic monitoring. At present, elements of geodetic technologies are being supplemented with artificial intelligence methods, which include neuro-fuzzy systems. These systems can process information that is provided at the input both as numerical and linguistic values. This approach is used for qualitative assessment of the condition of objects and physical quantities and it is characterized by parallel information processing. The paper presents the possibility of using the Takaga-Sugeno neural-fuzzy model for prediction and assessment of horizontal and vertical displacements of engineering structures as illustrated by the example of a historical footbridge in Muskauer Park, located in Germany and Poland.

Absorbed Radiation Heat Flux Sensors for Orbital Spacecraft. Algorithms for Measurement Data Processing

2021 ◽  
Vol 30 (3) ◽  
pp. 383-403
Author(s):  
A. V. Nenarokomov ◽  
D. L. Reviznikov ◽  
D. A. Neverova ◽  
E. V. Chebakov ◽  
A. V. Morzhukhina ◽  
...  
Keyword(s):  
Heat Flux ◽  
Data Processing ◽  
Measurement Data ◽  
Radiation Heat ◽  
Radiation Heat Flux ◽  
Heat Flux Sensors ◽  
Orbital Spacecraft

scholarly journals Selected algorithms for measurement data processing in impulse-radar-based system for monitoring of human movements

2016 ◽  
Vol 772 ◽  
pp. 012057 ◽  
Author(s):  
Andrzej Miękina ◽  
Jakub Wagner ◽  
Paweł Mazurek ◽  
Roman Z. Morawski
Keyword(s):  
Data Processing ◽  
Measurement Data ◽  
Human Movements

Visual Processing of the River Cross-Sectional Data

2012 ◽  
Vol 204-208 ◽  
pp. 2726-2730
Author(s):  
Qi Qing Duan ◽  
Rui Hai Wu
Keyword(s):  
Data Processing ◽  
Cross Section ◽  
Visual Processing ◽  
Measurement Data ◽  
Measurement Process ◽  
Cross Section Data ◽  
Section Data ◽  
Section Line ◽  
Straight Line ◽  
The Cross

The cross-section of Hydraulic engineering (river, embankment) is a kind of cross section which is always perpendicular to the river direction. Section line is a straight line which is created by connecting two endpoint of the section. Cross-section measurements is that collecting a coordinate point (X, Y, H) on the section line every a certain distance. Field measurement, due to the influence of the external environment, especially when measured in the river, is difficult to ensure that the location of the measurement point exactly on the straight line shown in the section. The reason is that tracking ship traveling along with the section will be impacted by the water, resulting in the offset along the flow direction. Therefore we must to constantly adjust the direction of travel in the measurement process. For which the measurement data should be processed. So it is necessary to deal with the measurement data, and the idea of visual data was proposed in the paper, which is easier to analyze the accuracy of the measurement data. The BUFFER analysis method was used in the data processing, which effectively removed measurement invalid point that far away from the cross-section in measurement and improved the accuracy of the cross-section data processing. On the other hand, the effective pedal point coordinates was used in the calculation of the plane location of cross-section point. The coordinate which can make the cross-section data more realistic and different from the translation of point and uniform distribution algorithm closeted to the effective point of measurement. The method that the elevation of pedal point on the cross section calculated using the distance weighted interpolation method has been applied in the measurement process of several rivers. It is proved in practice that the method got good results and achieved the accuracy of the data and quality which the application sector requirements on.

scholarly journals Better turbulence spectra from velocity–azimuth display scanning wind lidar

2019 ◽  
Vol 12 (3) ◽  
pp. 1871-1888 ◽  
Author(s):  
Felix Kelberlau ◽  
Jakob Mann
Keyword(s):  
Data Processing ◽  
Resonance Effect ◽  
Measurement Data ◽  
Cross Contamination ◽  
Raw Data ◽  
Combined Use ◽  
Beam Method ◽  
Wind Lidar ◽  
Velocity Spectra ◽  
Methods Numerical

Abstract. Turbulent velocity spectra derived from velocity–azimuth display (VAD) scanning wind lidars deviate from spectra derived from one-point measurements due to averaging effects and cross-contamination among the velocity components. This work presents two novel methods for minimizing these effects through advanced raw data processing. The squeezing method is based on the assumption of frozen turbulence and introduces a time delay into the raw data processing in order to reduce cross-contamination. The two-beam method uses only certain laser beams in the reconstruction of wind vector components to overcome averaging along the measurement circle. Models are developed for conventional VAD scanning and for both new data processing methods to predict the spectra and identify systematic differences between the methods. Numerical modeling and comparison with measurement data were both used to assess the performance of the methods. We found that the squeezing method reduces cross-contamination by eliminating the resonance effect caused by the longitudinal separation of measurement points and also considerably reduces the averaging along the measurement circle. The two-beam method eliminates this averaging effect completely. The combined use of the squeezing and two-beam methods substantially improves the ability of VAD scanning wind lidars to measure in-wind (u) and vertical (w) fluctuations.

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.

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