Tag Archives: IoT

72-84 A. Avotins, A. Potapovs, J. Gruduls and R. Ceirs
Testing outcomes of IoT based continuous crop weight and PAR sensors at industrial greenhouse
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Testing outcomes of IoT based continuous crop weight and PAR sensors at industrial greenhouse

A. Avotins¹*, A. Potapovs¹, J. Gruduls² and R. Ceirs²

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

Abstract:

Industrial greenhouses have automated control systems for climate, lighting, irrigation, ventilation, and heating regulation using different types of feedback sensors. Nowadays it is a trend to increase the data precision and measurement data amount, thus various additional IoT sensors are installed, and the regulation becomes more precise, due to available data, which enables new analytical features to create new control rules or strategies. The general aim is to raise the level of process automation, quality, energy efficiency, and other important parameters. Still, further, we go into data resolution and amount, and the problem of data reliability and interpretation starts to become a challenging problem. In this article, authors focus on earlier developed PAR sensor modules and continuous tomato crop weight sensor modules (TWS) testing and received data analysis from an industrial greenhouse. Both sensors were tested in detail at the tomato greenhouse of ‘Latgales Darzenu Logistika’ in Mezvidi parish, with a total growing area of 5,062.4 m2 from 1.05.2022 to 30.06.2022., and gathered data is analysed for this period. Received sensor data can be used as the main feedback signal to create a lighting control strategy, same time increasing energy efficiency and reducing also costs. As artificial lighting energy consumption costs make 20–40% of total greenhouse costs, it is worth having a more precise lighting control system algorithm, integrating the crop growth increase and accumulated light energy during the day from the sun, and then adding only the missing amount (also period) of light provided by artificial lighting. Experimental studies of both sensor data, show that plants reaction can be monitored, as by decreasing the lighting period and temperature setpoint by 6% each, the plants daily weight gain decreases by 14%, and it can be measured already in first day after the new settings were set in place.

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1419-1426 J. Vošahlík
IoT and measurement of fermentation process of rice wine
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IoT and measurement of fermentation process of rice wine

J. Vošahlík*

Faculty of Engineering, Department of Technological Equipment of Buildings, Kamýcká 129, Prague, Czech University of Life Sciences Prague, Czech Republic
*Correspondence: vosahlik@rektorat.czu.cz

Abstract:

The article deals with the fermentation process of rice wine and obtaining data during fermentation with the help of IoT, developed and implemented stirrer. Stirrer was printed by 3D printer. The process of converting
D-glucose into ethanol together with the oxidation of reduced coenzymes is called fermentation. Ethanol fermentation takes place anaerobically, i.e., without access to air with the help of yeast. The fermentation process is gradually being improved with the help of acquired sensor data and the gradual possibility of automation. The main objective of this paper is to develop an experimental environment for measuring rice wine fermentation processes with the help of IoT. During the fermentation of rice wine, there are measurable attributes that can be measured with the help of sensors. These attributes affecting the final product quality, positively but also negatively (pH, temperature, humidity, etc.). It is therefore necessary to select a given sensor that can monitor the attributes and then devices that can then manage and evaluate it. the correct selection and use of sensors and computing equipment, the acquisition and processing of data and the application of the resulting values to fermentation procedures, the resulting product quality increases.

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1318–1324 J. Vošahlík and J. Hart
Measurability of quality in fermentation process of rice wine by IoT in the field of industry 4.0
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Measurability of quality in fermentation process of rice wine by IoT in the field of industry 4.0

J. Vošahlík¹* and J. Hart²

¹Czech University of Life Sciences Prague, Faculty of Engineering, Department of Technological Equipment of Constructions, Kamýcká 129, CZ165 00 Prague, Czech Republic
²Czech University of Life Sciences Prague, Faculty of Engineering, Department of Vehicles and Ground Transport, Kamýck

Abstract:

The article inquiries into the issue of automation of the rice wine fermentation process in the field of industry 4.0. Fermentation is the process of converting D-glucose into ethanol along with oxidation of reduced coenzymes (fermentation). This is known as ethanol fermentation, which takes place anaerobically in the presence of yeast. The fermentation is being improved by automation (sensors, etc.). The main aim is to develop an experimental automation environment in industry 4.0 for the process of rice wine fermentation. During the rice wine fermentation process, variety of measurable attributes are created which affect the quality of the resulting product. They can be monitored with the help of automation elements (pH, temperature, humidity etc.). In case of an experimental environment development, it is therefore important to select appropriately the sensory that can record the measurable attributes. At the same time, the sensory must be at a level of reliability that guarantee their sufficient use in the mentioned experimental environment for the rice wine fermentation. The result is that, if the right environment is chosen, the quality of the fermented wine will improve.

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1138-1146 A. Avotins, K. Kviesis, J. Bicans, I. Alsina and L. Dubova
Experimental Analysis of IoT Based Camera SI-NDVI Values for Tomato Plant Health Monitoring Application
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Experimental Analysis of IoT Based Camera SI-NDVI Values for Tomato Plant Health Monitoring Application

A. Avotins¹*, K. Kviesis¹, J. Bicans¹, I. Alsina² and L. Dubova²

¹Riga Technical University, Faculty of Power and Electrical Engineering, Institute of Industrial Electronics and Electrical Engineering, Azenes street 12/1, LV-1048, Riga, Latvia
²Latvia University of Life Sciences and Technologies, Faculty of Agriculture, Institute of Plant and Soil Science, Liela Street 2, LV-3001, Jelgava, Latvia
*Correspondence: ansis.avotins@rtu.lv

Abstract:

This paper reveals an IoT based camera design to capture SI-NDVI parameters and describes first obtained data analysis regarding luminary spectrum impact on readings in real greenhouse application. For experimental comparison, measurements of Encore, Strabena, Audiance, Bolzano, Forticia and Chocomate tomato plants, both for the ‘best’ and the ‘weakest’ plant sample, using IoT based camera solution and portable leaf spectrometer. First experimental results show that this approach can be applied for tomato plant monitoring, and reveals some ideas about possible precision improvements.

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