Experimental Investigation and Statistical Analysis of Low Frequency RFID System

Autor: Shilpa Choudhary, Abhishek Sharma, Arpana Mishra
Rok vydání: 2021
Předmět:
Zdroj: Journal of Engineering Research.
ISSN: 2307-1885
2307-1877
DOI: 10.36909/jer.iccemme.15555
Popis: In today’s era RFID system plays a key role in the field of asset tracking but its maximum read range or detectability may get degraded due to the challenges which are being provided by varying atmospheric conditions. So, to study the effect of these challenging atmospheric conditions, experimental investigation and statistical analysis of RFID system detectability has been carried out. Varying surrounding temperature, humidity and the presence of soil layer thickness in between RFID reader and tag and its five different grain sizes were considered as input parameters. All these observations were carried out for three different soils i.e. sandy soil, Silt and clay. Execution of test was carried out according to the MINITAB 17 tool. According to ANOVA analysis as well as from interaction plot it was found that soil layer thickness have more impact on RFID system read range and R2 value was found to be 96.91%, 99.64% and 99.78% for RRSS, RRS and RRC respectively. Composite desirability of optimization was found to be 0.8425. Optimum values of process parameters Temperature, Soil Layer Thickness, Relative Humidity and Soil Grain Size were found to be 303.3°K, 2.5 cm, 40.1 %, 1.92 mm respectively. Best values of responses were found to be 10.94 cm for (Read Range in presence of Clay); 11.02 cm (Read Range in presence of Silt) and 10.97 cm (Read Range in presence of Sandy Soil).
Databáze: OpenAIRE