Work in progress: Proof of concept: Remote Laboratory Raspberry Pi + FPAA

Author(s):  
Alejandro Macho ◽  
Pablo Baizan ◽  
Manuel Blazquez ◽  
Felix Garcia-Loro ◽  
Elio Sancristobal ◽  
...  
Information ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 529
Author(s):  
Stefan A. Aebersold ◽  
Mobayode O. Akinsolu ◽  
Shafiul Monir ◽  
Martyn L. Jones

In this paper, an integrated system to control and manage a state-of-the-art industrial computer numerical control (CNC) machine (Studer S33) using a commercially available tablet (Samsung Galaxy Tablet S2) is presented as a proof of concept (PoC) for the ubiquitous control of industrial machines. As a PoC, the proposed system provides useful insights to support the further development of full-fledged systems for Industrial Internet of Things (IIoT) applications. The proposed system allows for the quasi-decentralisation of the control architecture of conventional programmable logic controller (PLC)-based industrial control systems (ICSs) through data and information exchange over the transmission control protocol and the internet protocol (TCP/IP) suite using multiple agents. Based on the TCP/IP suite, a network device (Samsung Galaxy Tablet S2) and a process field net (PROFINET) device (Siemens Simatic S7-1200) are interfaced using a single-board computer (Raspberry Pi 4). An override system mainly comprising emergency stop and acknowledge buttons is also configured using the single-board computer. The input signals from the override system are transmitted to the PROFINET device (i.e., the industrial control unit (ICU)) over TCP/IP. A fully functional working prototype is realised as a PoC for an integrated system designated for the wireless and ubiquitous control of the CNC machine. The working prototype as an entity mainly comprises a mobile (handheld) touch-sensitive human-machine interface (HMI), a shielded single-board computer, and an override system, all fitted into a compact case with physical dimensions of 300 mm by 180 mm by 175 mm. To avert potential cyber attacks or threats to a reasonable extent and to guarantee the security of the PoC, a multi-factor authentication (MFA) including an administrative password and an IP address is implemented to control the access to the web-based ubiquitous HMI proffered by the PoC.


Author(s):  
Pablo Daniel Godoy ◽  
Osvaldo Lucio Marianetti ◽  
Carlos Gabriel García Garino

This chapter resumes several experiences about using a remote laboratory based on Raspberry Pi computers and Arduino microcontrollers. The remote laboratory has been used to teach computer architecture, parallel programming, and computer networks on computer sciences and telecommunications careers. The laboratory is aimed at students with medium level of programming knowledge, which require flexible access to the computers being able to implement their own solutions. Students can explore the software and hardware of the laboratory computers, deploy, and run their codes, perform input and output operations, and configure the computers. Four different architectures are described, based on cloud computing and remote procedure calls, IoT platforms, VPN, and remote desktop. On the other hand, practical activities performed by students are summarized. Advantages and disadvantages of these architectures, problems that arose during the teaching experiences, and future work are described.


Author(s):  
F. Yudi Limpraptono ◽  
Eko Nurcahyo ◽  
Ahmad Faisol

This paper will discuss the results of research on the development of remote laboratory architectures for electronics telecommunications courses based on mobile devices. The background of study for the development of this system is to meet the demands of the world of education in the era of the industrial revolution 4.0 and the needs for online learning that is caused by the Covid-19 pandemic. Besides, with the development of cellular communication technology and mobile devices that have PC-level capabilities, mobile devices can support remote laboratory development. The design of remote laboratory system is based on an embedded system consisting of a user management server based on the Raspberry Pi 4 and an instrumentation system using Red Pitaya. Remote  Laboratory applications can be accessed using mobile devices such as Android based smart phones or tablets. The aim of the development of this remote          laboratory is to complete remote experiment activities in electronics telecommunications   courses in the Electrical Engineering study program.


2015 ◽  
Author(s):  
Debarati Basu ◽  
John Purviance ◽  
Darren Maczka ◽  
Daniel Brogan ◽  
Vinod Lohani

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3665
Author(s):  
Pedro J. García-Paterna ◽  
Alejandro S. Martínez-Sala ◽  
Juan Carlos Sánchez-Aarnoutse

The ability to locate an object or a person at room-level inside a building or a house could have multiple applications. In this study, we adapt the fingerprint technique using Bluetooth Low Energy to locate the exact room of a person, seeking a simple and low-cost solution. The system is based on BLE beacons deployed at fixed positions and a person carrying a BLE scanner that generates fingerprints from the BLE beacons in coverage. We formulate it as a classification problem where each room is a class; the objective is to estimate the exact room, trying to maximize the area and number of rooms, but also trying to minimize the number of BLE beacons. The room estimation engine is based on a kNN (k-nearest neighbors) classifier. We evaluate the accuracy in two real scenarios and empirically measure the room estimation success related to the number of BLE beacons. As a proof-of-concept, a laptop and a Raspberry Pi are used as BLE scanners to test different hardware. We follow a measurement campaign for several days at different times to evaluate the stability and repeatability of the system. With just a few beacons an accuracy between 70 and 90% is achieved for house and university scenarios.


Author(s):  
M. Israel ◽  
M. Mende ◽  
S. Keim

In this paper we present our multicopter flight assistance software uavRC, which bears on a distributed system with interchangeable MAV-drivers and a browser-based user interface that can be used on any computer, tablet or smartphone. The software components can be distributed on different computers and are even executable on a Raspberry Pi. The components communicate over a well-defined interface. One module is the browser based user interface, another module is the MAV driver. There are additional modules like a task-scheduler, a path-planer and many more. Currently the software is in beta stage, so there is still a lot of work in progress. With this paper we focus on the software architecture.


2021 ◽  
Vol 17 (14) ◽  
pp. 154-163
Author(s):  
Ramón Zárate-Moedano ◽  
Sandra Luz Canchola-Magdaleno ◽  
Alejandro Asvin Arrington-Báez

The pandemic caused by COVID 19 forced education systems to offer their services remotely due to social distancing policies. This article discusses research results on the development of remote laboratory architectures to deliver scientific experimentation in the area of physics for secondary school students using desktop computers or mobile devices.The design of the remote laboratory is based on the Raspberry Pi device, using various sensors and a graphical interface through which access and communication is given.The purpose of the development of this remote laboratory is to provide teachers and students of secondary education access to the development of remote activities for scientific experimentation in physics courses, using low-cost devices and free software.


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