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AUTOMATIC IDENTIFICATION AT RAILWAY AS DATA SOURCE FOR SPATIAL ANALYSIS
Abstract
The aim of the paper is to solve design of the automatic identification system via radiofrequency technology with respect to spatial analysis data acquisition. The compact system of automatic identification at railway defined by GS1 standards enables to monitor motion and operating status at the level of whole trains, wagons or even at the level of individual container or other load. If the acquired data are supplemented by coordinates of places, where they were obtained, those can be used for the spatial analysis. Localization of data is often accomplished by purpose of acquisition. This information is important for data processing as well. The spatial analysis can be done by use of data mining methods and by statistic methods when space or time is fixed. The benefit of such kind of system is adding of data obtained by automatic identification of railway spatial analysis as a feedback to real coordinate space. Verification of these procedures is carried out in an experimental railway model with AutoID means in which the data were collected, transferred into a shape required for processing and subsequently spatially analyzed.
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References5
GS1: GS1 EPCIS for Rail Vehicle Visibility Application Standard 1.0 [on-line] http://www.gs1.org/sites/default/files/docs/epc/GS1_EPCIS_Rail_Standard.pdf
GS1: Identification of Components and Parts in the Rail Industry - Application Standard [on-line] http://www.gs1.org/sites/default/files/identification_of_components_and_parts_in_rail_industry_application_standard.pdf
Kodym, O., Kavka, L., Sedláček, M.: Logistic chain data processing. 15th SGEM 2015; Volume 1, Issue 2, 2015, pp 183-190; Albena; Bulgaria
Kodym, O., Kavka, L., Sedláček, M.: Simulation of logistic chain information system. 16th SGEM 2016; Volume 1, Book 2, 2016, pp 375-382; Albena; Bulgaria
Martoch, T., Kodym, O.: Production Information Systems Based on the Internet of Things; 13th SGEM 2013; Volume 1, 2013, pp 207-212; Albena; Bulgaria
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