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Robotic machining in correlation with a 3D scanner

Kurc Krzysztof, Burghardt Andrzej, Szybicki Dariusz, Gierlak Piotr, Łabuński Wojciech, Muszyńska Magdalena, Giergiel Józef

Mechanics and Mechanical Engineering

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2020

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Vol. 24, nr 1

36--41

EN

The article presents an original method of communication and data exchange in a robotic machining station consisting of two robots, a positioner and a 3D optic scanner. The task of one of the robots, equipped with a 3D optic scanner, was to receive point cloud of a detail (mould) attached to the positioner table. After detail digitalisation, the received point cloud was adjusted to (compared with) a model detail in the form of a CAD file in the Atos Professional software. In the software, casting material excesses were received in places selected on the detail. Values of the excesses and their coordinates were saved in the script and sent to the robot controller using TCP/IP protocol. The other of robots, equipped with the force control addition and the option of obtaining various processing tools, received sent excess and its coordinates. The other robot adjusted the processing parameters to random excesses, the value of which was received from measurements of the optic scanner of the first robot.

2

An algorithm developed in Matlab for the automatic selection of cut-off frequencies, in the correction of strong motion data

Sakkas G., Sakellariou N.

Acta Geophysica

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2018

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Vol. 66, no. 4

425--448

EN

Strong motion recordings are the key in many earthquake engineering applications and are also fundamental for seismic design. The present study focuses on the automated correction of accelerograms, analog and digital. The main feature of the proposed algorithm is the automatic selection for the cut-off frequencies based on a minimum spectral value in a predefined frequency bandwidth, instead of the typical signal-to-noise approach. The algorithm follows the basic steps of the correction procedure (instrument correction, baseline correction and appropriate filtering). Besides the corrected time histories, Peak Ground Acceleration, Peak Ground Velocity, Peak Ground Displacement values and the corrected Fourier Spectra are also calculated as well as the response spectra. The algorithm is written in Matlab environment, is fast enough and can be used for batch processing or in real-time applications. In addition, the possibility to also perform a signal-tonoise ratio is added as well as to perform causal or acausal filtering. The algorithm has been tested in six significant earthquakes (Kozani-Grevena 1995, Aigio 1995, Athens 1999, Lefkada 2003 and Kefalonia 2014) of the Greek territory with analog and digital accelerograms.

3

Theoretical and applied research in the field of higher geodesy conducted in Rzeszow

Kadaj R., Świętoń T.

Reports on Geodesy and Geoinformatics

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2016

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Vol. 100

79--100

EN

Important qualitative changes were taking place in Polish geodesy in last few years. It was related to application of new techniques and technologies and to introduction of European reference frames in Poland. New reference stations network ASG-EUPOS, together with Internet services which helps in precise positioning was created. It allows to fast setting up precise hybrid networks. New, accurate satellite networks became the basis of new definitions in the field of reference systems. Simultaneously arise the need of new software, which enables to execute the geodetic works in new technical conditions. Authors had an opportunity to participate in mentioned undertakings, also under the aegis of GUGiK, by creation of methods, algorithms and necessary software tools. In this way the automatic postprocessing module (APPS) in POZGEO service, a part of ASG-EUPOS system came into being. It is an entirely polish product which works in Trimble environment. Universal software for transformation between PLETRF89, PL-ETRF2000, PULKOWO’42 reference systems as well as defined coordinate systems was created (TRANSPOL v. 2.06) and published as open product. An essential functional element of the program is the quasi-geoid model PL-geoid-2011, which has been elaborated by adjustment (calibration) of the global quasi-geoid model EGM2008 to 570 geodetic points (satellite-leveling points). Those and other studies are briefly described in this paper.

4

Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area

Bogoliubova A., Tymków P.

Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum

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2014

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Vol. 13, nr 1-2

5--22

EN

This study analyzes the evaluation of land cover supervised classification quality. Authors put forward the hypothesis that the overall accuracy of image classification depends on its division into parts of the same area. The dependence is described by the logarithmic curve – Т = 4.3004·ln(x) + 72.697, because the determination coefficient is maximum (R2 = 0.9678). The research area was the Yuntolovo reserve, the protected area near St. Petersburg (Russia). In order to increase the overall accuracy of the land cover automatic classification based on aerial images, a new methodology of data preprocessing was introduced. The proposed method of estimating the overall classification accuracy of land cover protected areas increases on average by 10% by dividing the source aerial image into no more than 10 equal parts. With further partitioning of the image into parts of the same area, the overall accuracy is slightly increased. Pixel-based image analysis of supervised classification and error matrix were evaluated using ILWIS 3.31 software and in our own software in .NET environment.

PL

W pracy dokonano analizy sposobów oceny jakości klasyfikacji pokrycia terenu na danych obrazowych. Autorzy wysunęli hipotezę, że ogólna dokładność klasy- fikacji obrazu zależy od jego podziału w procesie klasyfikacji na podobszary. Zależność tę opisano krzywą logarytmiczną Т = 4,3004⋅ln(x) + 72,697, dla której uzyskano najwyższy współczynnik determinacji (R2 = 0,9678). Badania prowadzono dla rezerwatu Yuntolovo, chronionego obszaru w pobliżu Sankt Petersburga (Rosja). W celu zwiększenia ogólnej dokładności automatycznej klasyfikacji pokrycia terenu na podstawie zdjęć lotniczych autorzy zaproponowali nową metodologię wstępnego przetwarzania danych. Proponowana metoda, polegająca na podziale obrazu klasyfikowanego na nie więcej niż dziesięć równych części, poprawia ogólną dokładność klasyfikacji pokrycia obszarów lądowych średnio o 10%. Podział na większą liczbę części nie zwiększa już znacząco jakości klasyfikacji, a dodatkowo wprowadza niejednoznaczności spowodowane zmniejszaniem próby uczącej. Klasyfikację obrazów i analizę dokładności prowadzono z wykorzystaniem pakietu ILWIS 3.31 oraz autorskiego oprogramowania stworzonego w środowisku NET.