Abstract — One of most prominent aspects of Wireless Sensor Networks (WSN) is the possibility of remote data logging that can be applied to various systems, one of them being a food process engineering laboratory. The advantage of WSN use in food process engineering laboratory is the ability to log and track multiple processes and collect large amounts of data using wireless network. Throughout this paper a data logging system is proposed consisting of WSN connected to the Cloud service via gateway, establishing a system capable of collecting vast amounts of data and storing them on a remote Cloud server. The main advantages of this approach are the ability to access the data and track the process from anyplace the Internet network is available. Compared to classical approaches in data logging, the proposed system uses cost effective architecture to enable data logging for multiple devices. Keywords — Cloud computing, Convection dryer, Data logging, Embedded system, Food process engineering, NoSQL, WSN. I. INTRODUCTION ATA logging and recording presents a main prerequisite for supervising and monitoring any form of process. In its most basic form, data logging represents the measurement and recording of physical or electrical parameters over a period of time. The data can be temperature, current, resistance, power or any of a wide range of other parameters [1]. In process engineering, the need to log and record data presents a basis for conducting any form or research, as the recorded data are the result of the experiment. One device used in food process engineering laboratory is the pilot plant tray dryer (UOP 8 Tray Dryer, Armfield, UK) used to dry various samples and record the parameters throughput the process. In most drying processes, water is removed by convective evaporation in which heat is supplied by hot air [2]. Throughout the This work was sponsored by the Ministry of Science, Education and Sports of the Republic of Croatia under project 165-0362027-1479. Goran Horvat, Faculty of Electrical Engineering, J. J. Strossmayer University of Osijek, Kneza Trpimira 2b, 31000 Osijek, Croatia, (phone: +385 (31) 224 742; e-mail: goran.horvat@etfos.hr ). Zoran Balkic, Faculty of Electrical Engineering, J. J. Strossmayer University of Osijek, Cara Hadrijana bb, 31000 Osijek, Croatia, (phone: +385 (31) 224 600; e-mail: zoran.balkic@etfos.hr ). Stela Jokic, Faculty of Food Technology, J. J. Strossmayer University of Osijek, Franje Kuha a bb, 31000 Osijek, Croatia, (phone: +385 (31) 224 348; e-mail: sjokic@ptfos.hr ). drying process parameters such as temperature, humidity, mass and air flow needs to be constantly logged and saved for the researcher to process, so an adequate data logging system needs to be proposed. Since the drying process can take few hours [2], the logged data must be available not only within the premises of the laboratory but omnipresent for researcher to have access to. To accommodate these needs and to solve the disadvantages of the existing systems this paper proposes architecture composed of WSN network connected to the Virtual Private Server (VPS) running a Redis database and Client side application. The main advantages of the proposed architecture is the ease of data logging onto the Server, eliminating the need for expensive embedded solutions that have access to the Internet or expensive local Servers. Further on, Redis database has the ability to store large number of records compared to MySQL, representing an advantage for the long term storage and rapid data access. Finally, the representation of the data is presented throughout GUI interface available to all users with an account on the VPS as well as the ability to view older data and to download data into familiar formats (such as .csv, .xls or Google Spreadsheet). The remainder of the paper is organised as follows. Section II describes the system architecture alongside with the architecture of the WSN data acquisition nodes and VPS architecture. The advantages of using a WSN and VPS are elaborated in detail. Section III shows the testing of the proposed system on the Convection Dryer laboratory system and Section IV gives the conclusion to the presented work. In the last section the future work guidelines are given towards establishing a high quality data logging system. II. DATA LOGGING SYSTEM FOR USE IN PROCESS ENGINEERING In process engineering, the need to log the data of an observed process is of outmost importance. The data resulting from a process can be logged in various ways. However, these classical approaches have many flaws that render some of these approaches quite useless. When comparing classical approaches in data logging such as [3], in which an idea is that a group of sensors transmit data to a local personal computer that accommodates for the data logging and recording, it is clearly seen that these systems are very inefficient regarding data accessibility and remote supervision. WSN Based Remote Data Logging System for Use in Food Process Engineering – Convection Dryer Example Goran Horvat, Member, IEEE, Zoran Balkić and Stela Jokić D