Tag Archives: IoT

987–992 J. Hart and J. Bradna
Suitability of 2.4 GHz and 5 GHz wireless communications in production processes
Abstract |

Suitability of 2.4 GHz and 5 GHz wireless communications in production processes

J. Hart* and J. Bradna

Czech University of Life Sciences Prague, Faculty of Engineering, Department of Technological Equipment of Buildings, Kamýcká 129, CZ165 00 Prague, Czech Republic
*Correspondence: janhart77@gmail.com

Abstract:

Today, it is increasingly modern to use wireless transmissions in production. It is possible to send information messages, control messages and it is often possible to access the technologies as IoT (the Internet of Things). The aim of this work was to find out which of the selected Wi-Fi frequencies is more suitable for use in syrup processing equipment. The evaluation was performed on the basis of attenuation and download speed at each frequency (2.4 GHz and 5 GHz bandwidth). These frequencies have been chosen due to their massive deployment for wi-fi networks that currently dominate wireless communications. Measurements were made downloading files on different frequency bands. Mean and maximum data throughput and signal strengths were also measured. By measuring, it has been found that when using 2.4 GHz wireless Wi-Fi technology, you can very often encounter strong interference effects. Despite the theoretically worse 5 GHz frequency spread, you can achieve up to 30% better data throughput on average. The results show the suitability of 2.4 and 5 GHz Wi-Fi technology. The main finding is that, despite the worse frequency spread of 5 GHz, it is more appropriate. Not only due to speed but also in the future due to better transmission capacities and future channel expansion.

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952-957 A. Avotins, A. Potapovs, P. Apse-Apsitis and J. Gruduls
Crop weight measurement sensor for IoT based industrial greenhouse systems
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Crop weight measurement sensor for IoT based industrial greenhouse systems

A. Avotins¹*, A. Potapovs¹, P. Apse-Apsitis¹ and J. Gruduls²

¹Riga Technical University, Institute of Industrial Electronics and Electrical Engineering, Azenes 12, LV-1048 Riga, Latvia
²SIA ‘Latgales darzenu logistika’ greenhouse, “Kloneshniki”, Mezvidi parish, LV-5725 Karsava region, Latvia
*Correspondence: ansis.avotins@rtu.lv

Abstract:

Nowadays the industrial management systems are changing by means of implementing various Internet of Things (IoT) technologies, allowing a simple integration of sensor technologies with wireless communications and development of cloud based database solutions. The industrial greenhouse management systems are not the exception in this regard, as they are becoming more and more popular with the use of various sensors for the automation of the vegetable and other crop cultivation process.The general aim they have is to raise the level of process automation, quality, energy efficiency and other important parameters. The implemented technologies and environment of industrial greenhouse can be different fir the research type laboratories, as they are focused on production, therefore this research is conducted in cooperation with tomato producing industrial greenhouse of SIA ‘Latgales darzenu logistika’ focusing on IoT based crop weight measurement.

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943-951 A. Avotins, P. Apse-Apsitis, J. Bicāns and J. Gruduls
Development and testing results of IoT based air temperature and humidity measurement system for industrial greenhouse
Abstract |
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Development and testing results of IoT based air temperature and humidity measurement system for industrial greenhouse

A. Avotins¹*, P. Apse-Apsitis¹, J. Bicāns¹ and J. Gruduls²

¹Riga Technical University, Institute of Industrial Electronics and Electrical Engineering, Azenes 12, LV-1048 Riga, Latvia
²SIA “Latgales darzenu logistika” greenhouse, “Kloneshniki”, Mezvidi parish, LV-5725 Karsava region, Latvia
*Correspondence: ansis.avotins@rtu.lv

Abstract:

Industrial greenhouse control systems are changing and getting new capabilities, due to the evolution of the Internet of Things (IoT) technologies, allowing wirelessly integrate various sensor technologies and create a cloud-based database and analytic solutions. Greenhouse systems typically are controlled by consuming single temperature and humidity measurement unit data (treated as an average value), this raises a question about the precision of such approach for application in a large industrial greenhouse. In this article IoT based temperature and humidity measurement system uMOL architecture is described and first measurement results of multi-point data collection with high resolution compared to existing single-point measurements.

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