scholarly journals Optically-Powered Wireless Sensor Nodes towards Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 57
Author(s):  
Letícia C. Souza ◽  
Egidio R. Neto ◽  
Eduardo S. Lima ◽  
Arismar Cerqueira Sodré Junior

We report the experimental implementation of optically-powered wireless sensor nodes based on the power-over-fiber (PoF) technology, aiming at Industrial Internet of Things (IIoT) applications. This technique employs optical fibers to transmit power and is proposed as a solution to address the hazardous industrial environment challenges, e.g., electromagnetic interference and extreme temperatures. The proposed approach enables two different IIoT scenarios, in which wireless transmitter (TX) and receiver (RX) nodes are powered by a PoF system, enabling local and remote temperature data monitoring, with the purpose of achieving an intelligent and reliable process management in industrial production lines. In addition, the system performance is investigated as a function of the delivered electrical power and power transmission efficiency (PTE), which is the primary performance metric of a PoF system. We report 1.4 W electrical power deliver with PTE = 24%. Furthermore, we carry out a voltage stability analysis, demonstrating that the PoF system is capable of delivering stable voltage to a wide range of applications. Finally, we present a comparison of temperature measurements between the proposed approach and a conventional industrial programmable logic controller (PLC). The obtained results demonstrate that PoF might be considered as a potential technology to power and enhance the energy efficiency of IIoT sensing systems.

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8332
Author(s):  
Iman Izadgoshasb

Information and communication technologies (ICT) are major features of smart cities. Smart sensing devices will benefit from 5 G and the Internet of Things, which will enable them to communicate in a safe and timely manner. However, the need for sustainable power sources and self-powered active sensing devices will continue to be a major issue in this sector. Since their discovery, piezoelectric energy harvesters have demonstrated a significant ability to power wireless sensor nodes, and their application in a wide range of systems, including intelligent transportation, smart healthcare, human-machine interfaces, and security systems, has been systematically investigated. Piezoelectric energy-harvesting systems are promising candidates not only for sustainably powering wireless sensor nodes but also for the development of intelligent and active self-powered sensors with a wide range of applications. In this paper, the various applications of piezoelectric energy harvesters in powering Internet of Things sensors and devices in smart cities are discussed and reviewed.


Author(s):  
Mr. Dharmesh Dhabliya, Ms. Ritika Dhabalia

Color based object sorting has a significant impact in food and processing Industries. Hand picking process in sorting the huge number of objects in industry is very common and laborious task, and time consuming as well, which needs many labors and this conventional method is prone to error. The proposed work aims to replace the hand-picking process by Industrial Internet of Things. The goal of the technique is to sort and count the objects in to different bins accord to their color. A Color sensor, TCS 230 will identify the object and with the help of motors they are made to drop into different bins. The identification of the object is made with the help of frequency concept. As it known that different colors have different wave lengths, so are the different frequencies (f=c/λ). For each frequency, the motor rotates to different angles and thus container is attached to motor is also made to rotate to a certain angle, and the object is made to drop into the bin by a jerk. This action details regarding number of objects manufactured are sent to the IoT server, where the vendor and customer will know the details remotely. This proposed work finds a wide range of usage in fruit industry (to pick the unripen fruit), in candy industry, in grain industry (to remove the black stones from the grains), in recycling industry. 


Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3215 ◽  
Author(s):  
Malvin Nkomo ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz ◽  
Saurabh Sinha ◽  
Adeiza. J. Onumanyi

In recent times, Wireless Sensor Networks (WSNs) are broadly applied in the Industrial Internet of Things (IIoT) in order to enhance the productivity and efficiency of existing and prospective manufacturing industries. In particular, an area of interest that concerns the use of WSNs in IIoT is the concept of sensor network virtualization and overlay networks. Both network virtualization and overlay networks are considered contemporary because they provide the capacity to create services and applications at the edge of existing virtual networks without changing the underlying infrastructure. This capability makes both network virtualization and overlay network services highly beneficial, particularly for the dynamic needs of IIoT based applications such as in smart industry applications, smart city, and smart home applications. Consequently, the study of both WSN virtualization and overlay networks has become highly patronized in the literature, leading to the growth and maturity of the research area. In line with this growth, this paper provides a review of the development made thus far concerning virtualized sensor networks, with emphasis on the application of overlay networks in IIoT. Principally, the process of virtualization in WSN is discussed along with its importance in IIoT applications. Different challenges in WSN are also presented along with possible solutions given by the use of virtualized WSNs. Further details are also presented concerning the use of overlay networks as the next step to supporting virtualization in shared sensor networks. Our discussion closes with an exposition of the existing challenges in the use of virtualized WSN for IIoT applications. In general, because overlay networks will be contributory to the future development and advancement of smart industrial and smart city applications, this review may be considered by researchers as a reference point for those particularly interested in the study of this growing field.


2015 ◽  
Vol 2015 (HiTEN) ◽  
pp. 000244-000250 ◽  
Author(s):  
A.B. Horsfall ◽  
H.K. Chan ◽  
K.V. Vassilevski ◽  
N.G. Wood ◽  
N.G. Wright

While wireless sensor nodes based on conventional semiconductor technology have revolutionized our understanding of the world in which we live, they are limited to operating in benign environments. This limitation precludes their use in a wide range of industrial, automotive and geological applications, where the required operating temperatures can exceed 200°C. Silicon-on-insulator technology has enabled the development of high temperature electronics, however applications requiring higher temperature operation are becoming apparent. Battery technologies capable of sustaining the required power level in these extreme environments are also a significant challenge. In this work, we present the integration of analog functional primitive circuits capable of interrogating resistive and capacitive sensors to form a wireless sensor node based on silicon carbide technology. The electrical power is provided from the output of a novel self-starting boost converter connected to a thermoelectric generator. Data can be transmitted from the node via frequency modulation of a Colpitts oscillator, for remote post processing. The signal conditioning is realised using JFET based amplifier circuits, designed using a novel JFET compact model, which enables a greater level of confidence than existing models in the literature.


2017 ◽  
Vol 109 ◽  
pp. 92-99 ◽  
Author(s):  
P.Z. Sotenga ◽  
K. Djouani ◽  
A.M. Kurien ◽  
M.M. Mwila

2014 ◽  
Vol 945-949 ◽  
pp. 1552-1557 ◽  
Author(s):  
Yi Lin Zheng ◽  
Hu Lin ◽  
Xian Li Su

Aiming at the shortcomings of the traditional CNC sensor network such as the difficult cable laying and long-distance communication signal attenuation, this paper designed the CNC monitoring system based on Internet of Things technology. The design reduced the power consumption of the wireless sensor nodes and the packet loss rate of the sink nodes through the hardware-software co-design. The Internet of Things protocol presented in this paper achieved the real-time communication between the CNC operating platform and the wireless sensor nodes. The experiment result shows that the CNC monitoring system based on Internet of Things technology can provide the temperature and vibration information for the CNC operating platform in time with the advantages of simple layout and reliable communication.


This paper describes a wireless sensor network and industrial internet of things based Industry machinery control and noise detector, where the using control platform is Arduino, While TCP and IOT is serving as a communication protocol. The function of Arduino is to understand data destination along with the functioning of data to that machine similarly sensors used to take information at their level and fed back for the proper functioning. This paper aims in designing a convenient wireless industry where cabling is not possible. It also has lower installation and maintenance charge for flexible Industry. This paper presents the measurement and reduction of noise from the machines for the betterment of workers.


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