Internet of Things and industrial automation approach application for beekeeping processes automation

Author(s):  
Anatolijs Zabasta ◽  
Nadezda Kunicina ◽  
Kaspars Kondratjevs ◽  
Leonids Ribickis

In this paper we discuss the Internet of Things (IoT) and industrial systems automation approach application for development a prototype of an autonomous beekeeping system. In this research we focus on one of the Arrowhead Framework core systems named the Event Handler system. MQTT service broker being a part of autonomous beekeeping system demonstrates the services provided by the Event Handler System. The proposed services broker applies a visual data flow programming approach. A Node-RED is used to prove viability and advantages of offered architecture implemented in a local automation cloud of autonomous beekeeping System of Systems. The autonomous beekeeping system’ prototype provides useful data on beehives and bee apiary status (internal and ambient temperature, humidity, weight of the hives, etc.) to the system users, so they can evaluate the hive status and take further action.

2019 ◽  
Vol 9 (2) ◽  
pp. 167
Author(s):  
Basil Nikolopoulos ◽  
Alexandros C. Dimopoulos ◽  
Mara Nikolaidou ◽  
George Dimitrakopoulos ◽  
Dimosthenis Anagnostopoulos

Author(s):  
Doan Perdana ◽  
Panca Aji Pamungkas ◽  
Arif Indra Irawan

Safety is important in terms of comfort and security in a home, because a house is a place where people live and store valuable items. However, conventional keys that are widely used today are still vulnerable to break-ins. Therefore, a reliable and qualified security system is needed to safeguard a person’s home. To overcome this problem, this study proposed a security system to access the door of a house to maintain the home’s security. This door access security system is based on Palmprint, in which a certain line on a person’s palm is used to open the door and gain access into the house. Palmprint is supported by the Internet of Things system so that residents can remotely control and access the door lock. The use of biometric authentication will replace a conventional key so that the door will only be opened if the lines on the palm of the hand can be identified in accordance with the data registered by the owner. If a burglary occurs or if the lock is forced, the system will notify the residents of the house through their Palmprint application. The results show that the network system works optimally in the Line of Sight scenario with a distance of 5 meters, and it produces a data delay measuring 0.255436 s; moreover, a throughput of 8825,933 bytes/s is obtained from end-to-end testing of the total system in the 5 meter Line of Sight scenario with a total average delay of 0.570077 s and an average throughput of 11776.27 bytes/s.


2019 ◽  
Vol 9 (2) ◽  
pp. 167 ◽  
Author(s):  
Basil Nikolopoulos ◽  
Alexandros C. Dimopoulos ◽  
Mara Nikolaidou ◽  
George Dimitrakopoulos ◽  
Dimosthenis Anagnostopoulos

2020 ◽  
Vol 5 (1) ◽  
pp. 37-50
Author(s):  
Andi Kurniawan

The use of the Internet of Things (IoT) has been widely developed in various fields of technology application. Using IoT can make it easier to build robust industrial systems and applications and provide visualization for the safety of industrial employees by taking advantage of the increasing number of radio frequencies, wireless devices, mobile devices and sensors. In understanding the development of IoT in the industry, the paper reviews the latest IoT research, a survey that compares the use of IoT from several existing papers, the main applications of IoT in the industry, and identifies trends and research challenges. The main contribution of this survey paper is to systematically summarize the current state of IoT in the industry.


Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 982-998
Author(s):  
Ali Hussein Shamman Al-Safi ◽  
Zaid Ibrahim Rasool Hani ◽  
Ahmed A Hadi ◽  
Musaddak M. Abdul Zahra ◽  
Wael Jabbar Abed Al-Nidawi

The Internet of Things (IoT) relates to the process of utilizing computer networks to plan and model Internet-connected things. The Internet of Things (IoT)-based m-healthcare technologies have provided multi-dimensional functionality and real-time resources over the last few years. These apps provide millions of individuals with a forum to get wellness alerts for a healthy lifestyle constantly. Several aspects of these systems have been revitalized with the introduction of IoT devices in the healthcare sector. This work proposed a data-driven disease signal analytics by inventing a novel combination learning approach. The proposed Combination learning integrates different machine learning models to price disease signal for different options by leveraging the availability of a large amount of data through solving a sequential quadratic programming problem. The proposed approach demonstrates its superiority in prediction accuracy and strong model independence by overcoming traditional model-driven approaches' generalization issue. The findings illustrate the efficacy of the task for an effective disease signal diagnosis. It could be a modern and useful health approach to adopt the proposed procedure with potential changes and incorporate it into a low-cost unit.


Author(s):  
Vagan Terziyan ◽  
Artem Katasonov

Industry pushes a new type of Internet characterized as the Internet of Things, which represents a fusion of the physical and digital worlds. The technology of the Internet of Things opens new horizons for industrial automation, that is, automated monitoring, control, maintenance planning, and so forth, of industrial resources and processes. Internet of Things definitely needs explicit semantics, even more than the traditional Web—for automatic discovery and interoperability among heterogeneous devices and also to facilitate the behavioral coordination of the components of complex physical-digital systems. In this chapter, the authors describe their work towards the Global Understanding Environment (GUN), a general middleware framework aimed at providing means for building complex industrial systems consisting of components of different nature, based on the semantic and the agent technologies. The authors present the general idea and some emergent issues of GUN and describe the current state of the GUN realization in the UBIWARE platform. As a specific concrete case, they use the domain of distributed power network maintenance. In collaboration with the ABB Company, we have developed a simple prototype and vision of potential add-value this domain could receive from introducing semantic and agent technologies, and GUN framework in particular.


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