scholarly journals Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 822 ◽  
Author(s):  
Lawrence Oriaghe Aghenta ◽  
Mohammad Tariq Iqbal
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Supervisory Control ◽  
Low Cost ◽  
Raspberry Pi ◽  
Voltage Sensors ◽  
Scada System ◽  
Iot Platform ◽  
Field Instrumentation ◽  
Distributed Processes

Supervisory Control and Data Acquisition (SCADA) is a technology for monitoring and controlling distributed processes. SCADA provides real-time data exchange between a control/monitoring centre and field devices connected to the distributed processes. A SCADA system performs these functions using its four basic elements: Field Instrumentation Devices (FIDs) such as sensors and actuators which are connected to the distributed process plants being managed, Remote Terminal Units (RTUs) such as single board computers for receiving, processing and sending the remote data from the field instrumentation devices, Master Terminal Units (MTUs) for handling data processing and human machine interactions, and lastly SCADA Communication Channels for connecting the RTUs to the MTUs, and for parsing the acquired data. Generally, there are two classes of SCADA hardware and software; Proprietary (Commercial) and Open Source. In this paper, we present the design and implementation of a low-cost, Open Source SCADA system by using Thinger.IO local server IoT platform as the MTU and ESP32 Thing micro-controller as the RTU. SCADA architectures have evolved over the years from monolithic (stand-alone) through distributed and networked architectures to the latest Internet of Things (IoT) architecture. The SCADA system proposed in this work is based on the Internet of Things SCADA architecture which incorporates web services with the conventional (traditional) SCADA for a more robust supervisory control and monitoring. It comprises of analog Current and Voltage Sensors, the low-power ESP32 Thing micro-controller, a Raspberry Pi micro-controller, and a local Wi-Fi Router. In its implementation, the current and voltage sensors acquire the desired data from the process plant, the ESP32 micro-controller receives, processes and sends the acquired sensor data via a Wi-Fi network to the Thinger.IO local server IoT platform for data storage, real-time monitoring and remote control. The Thinger.IO server is locally hosted by the Raspberry Pi micro-controller, while the Wi-Fi network which forms the SCADA communication channel is created using the Wi-Fi Router. In order to test the proposed SCADA system solution, the designed hardware was set up to remotely monitor the Photovoltaic (PV) voltage, current, and power, as well as the storage battery voltage of a 260 W, 12 V Solar PV System. Some of the created Human Machine Interfaces (HMIs) on Thinger.IO Server where an operator can remotely monitor the data in the cloud, as well as initiate supervisory control activities if the acquired data are not in the expected range, using both a computer connected to the network, and Thinger.IO Mobile Apps are presented in the paper.

scholarly journals Adapting Internet of Things to Arduino-based Devices for Low-Cost Remote Sensing in School Science Learning Environments

2021 ◽  
Vol 17 (02) ◽  
pp. 4
Author(s):  
Seok Hyun Ga ◽  
Hyun-Jung Cha ◽  
Chan-Jong Kim
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
School Science ◽  
Raspberry Pi ◽  
Physical Computing ◽  
Technical Problems ◽  
Measuring Devices ◽  
Iot Platform ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p class="0abstract"><span lang="EN-US">We examine the major technical problems that students experience in authentic scientific inquiry and propose an Arduino-based device, adapting the Internet of Things technology, which is designed for the school science in order to solve those technical problems. Three major technical problems as follows: First, it is difficult to have a variety of measuring tools which may satisfy the needs of students. Second, it is hard to equip students with tools befitting the complex inquiry procedures which students develop on their own. Lastly, there exists a problem in which a particular group(s) of students take advantage of their competence in technology and have a monopoly in the process of data analysis. Physical computing and the IoT technology can provide solutions to these problems. Development boards like Arduino and Raspberry Pi can be purchased at affordable prices, which allows for measuring devices to be made at low cost by connecting sensors to those boards. Utilizing these development boards may also lead to the possibility to optimize measuring methods or procedures for inquiries of each student. By transmitting the measured data to the IoT Platform, students can have an equal access to the data and analyze it easily. We also investigate technologies used in IoT-applied physical computing including development boards, IoT platforms, and telecommunications technologies. Lastly, as an example of inquiry that adapts physical computing and IoT, we introduce the case of transferring data, measured by a temperature/humidity sensor connected to a development board, to the IoT Platform and visualizing them.</span></p><div id="dicLayer" style="display: none;"> </div><div id="dicRawData" style="display: none;"> </div><div id="dicLayerLoader"> </div>

scholarly journals Open-Source Electronics Platforms as Enabling Technologies for Smart Cities: Recent Developments and Perspectives

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 404 ◽  
Author(s):  
Daniel Costa ◽  
Cristian Duran-Faundez
Keyword(s):  
Open Source ◽  
Smart City ◽  
Smart Cities ◽  
Low Cost ◽  
Raspberry Pi ◽  
Computational Power ◽  
Different Types ◽  
Recent Developments ◽  
Programmable Devices ◽  
Hardware Platforms

With the increasing availability of affordable open-source embedded hardware platforms, the development of low-cost programmable devices for uncountable tasks has accelerated in recent years. In this sense, the large development community that is being created around popular platforms is also contributing to the construction of Internet of Things applications, which can ultimately support the maturation of the smart-cities era. Popular platforms such as Raspberry Pi, BeagleBoard and Arduino come as single-board open-source platforms that have enough computational power for different types of smart-city applications, while keeping affordable prices and encompassing many programming libraries and useful hardware extensions. As a result, smart-city solutions based on such platforms are becoming common and the surveying of recent research in this area can support a better understanding of this scenario, as presented in this article. Moreover, discussions about the continuous developments in these platforms can also indicate promising perspectives when using these boards as key elements to build smart cities.

An Open Source and Low-Cost Internet of Things-enabled Service for Irrigation Management

2019 ◽  
Author(s):  
Marco Mancini ◽  
Paola Nassisi ◽  
Antonio Trabucco ◽  
Alessandro Meloni ◽  
Konstantina Toli ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Low Cost ◽  
Irrigation Management

scholarly journals Elastic Computing in the Fog on Internet of Things to Improve the Performance of Low Cost Nodes

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1489 ◽  
Author(s):  
Rafael Fayos-Jordan ◽  
Santiago Felici-Castell ◽  
Jaume Segura-Garcia ◽  
Adolfo Pastor-Aparicio ◽  
Jesus Lopez-Ballester
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Low Cost ◽  
Fog Computing ◽  
Mesh Network ◽  
Raspberry Pi ◽  
The Internet ◽  
Processing Unit ◽  
Computing Paradigm ◽  
Elastic Computing

The Internet of Things (IoT) is a network widely used with the purpose of connecting almost everything, everywhere to the Internet. To cope with this goal, low cost nodes are being used; otherwise, it would be very expensive to expand so fast. These networks are set up with small distributed devices (nodes) that have a power supply, processing unit, memory, sensors, and wireless communications. In the market, we can find different alternatives for these devices, such as small board computers (SBCs), e.g., Raspberry Pi (RPi)), with different features. Usually these devices run a coarse version of a Linux operating system. Nevertheless, there are many scenarios that require enhanced computational power that these nodes alone are unable to provide. In this context, we need to introduce a kind of collaboration among the devices to overcome their constraints. We based our solution in a combination of clustering techniques (building a mesh network using their wireless capabilities); at the same time we try to orchestrate the resources in order to improve their processing capabilities in an elastic computing fashion. This paradigm is called fog computing on IoT. We propose in this paper the use of cloud computing technologies, such as Linux containers, based on Docker, and a container orchestration platform (COP) to run on the top of a cluster of these nodes, but adapted to the fog computing paradigm. Notice that these technologies are open source and developed for Linux operating system. As an example, in our results we show an IoT application for soundscape monitoring as a proof of concept that it will allow us to compare different alternatives in its design and implementation; in particular, with regard to the COP selection, between Docker Swarm and Kubernetes. We conclude that using and combining these techniques, we can improve the overall computation capabilities of these IoT nodes within a fog computing paradigm.

scholarly journals Monitorising the Distelle Water in Battery using IOT

2019 ◽  
Vol 8 (2S11) ◽  
pp. 130-132
Keyword(s):  
Internet Of Things ◽  
Human Resources ◽  
Power Loss ◽  
Low Cost ◽  
Electronic Devices ◽  
Raspberry Pi ◽  
Distilled Water ◽  
Time Efficiency ◽  
Household Appliances ◽  
Different Types

Now-days the electronic devices play a major role in day-to-day life. Where as in case of electricity, people are using it for 24by7 as of there were of having household appliances are of electronic devices. So if there is any power loss in meantime of running any electronic devices it may leads to damage, so to predict they were of using the battery to work instant after power loss. As we know that there are different types of battery that runs with distilled water. So in this paper we would like to discuss about how to control the batteries voltage using IOT (Internet of Things). It was of having low cost and reduces the human resources and time-efficiency and cost the system used in it was of Voltmeter. It were of using the Raspberry pi for monitoring & updating the values. While they were of using Arduino, cloud for transmitting the data.

scholarly journals Internet of Things Enabled Smart Microgrid

2020 ◽  
Vol 9 (6) ◽  
pp. 73-76
Keyword(s):  
Internet Of Things ◽  
Energy Distribution ◽  
Rural Areas ◽  
Urban Areas ◽  
Power Saving ◽  
Electrical Network ◽  
Raspberry Pi ◽  
Small Scale ◽  
Smart Power ◽  
Iot Platform

In the era of emerging technologies internet of things (IoT) and smart power grid, this two are major technology which would boost up the development of any country because of its perspective of smart and renewable technique. A microgrid is a small–scale localized energy grid with the capability to control the various electrical parameters and can be operated autonomously. This microgrid technology can be implemented in both rural and urban areas. In this paper, the author proposes the design of a smart microgrid system enabled IOT for a smart country. A microgrid is an excellent solution for providing a continuous supply of power during the failure of the main grid (blackouts issues). It can also be used in industries for providing additional power, and most importantly it can be implemented in areas like an island or remote/rural areas. The IoT can be a smart approach that offers the solution for detecting the fault and a convenient real-time technique to control and monitor the consumption of energy. In the present time, the non-renewable electrical network system is outdated due to the increasing demand for electrical energy. We have also proposed a smart energy distribution of power to the load by turning the appliances in power saving mode by the help of IoT platform. This smart microgrid can be installed in every house of the country for promoting smart energy distribution, a smart way of energy saving, and ecofriendly technique, this can connect parallel to the main grid supply. IoT will also help to monitor and detect the fault in a very faster manner. It will detect the fault in the microgrid with help of current sensor and voltage sensor installed in the transmission line. The current and voltage data collected from the sensors will be continuously sent to the microcontroller with the help of a Wi-Fi module and IoT platform. The microcontroller Raspberry pi 3 will store the data and it will continuously monitor the loads connected to the microgrid by the Cayenne’s IoT platform. The loads can be also triggered by the help of IoT platforms. The microgrid is incorporated with the net metering concept to make the power system reliable.

scholarly journals AutoTriage - An Open Source Edge Computing Raspberry Pi-based Clinical Screening System

2020 ◽  
Author(s):  
Chaitra Hegde ◽  
Zifan Jiang ◽  
Pradyumna Byappanahalli Suresha ◽  
Jacob Zelko ◽  
Salman Seyedi ◽  
...  
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Characteristic Curve ◽  
Rapid Assessment ◽  
Infrared Camera ◽  
Visible Spectrum ◽  
Wait Time ◽  
Far Infrared ◽  
Raspberry Pi ◽  
Body Parts

AbstractWith the recent COVID-19 pandemic, healthcare systems all over the world are struggling to manage the massive increase in emergency department (ED) visits. This has put an enormous demand on medical professionals. Increased wait times in the ED increases the risk of infection transmission. In this work we present an open-source, low cost, off-body system to assist in the automatic triage of patients in the ED based on widely available hardware. The system initially focuses on two symptoms of the infection fever and cyanosis. The use of visible and far-infrared cameras allows for rapid assessment at a 1m distance, thus reducing the load on medical staff and lowering the risk of spreading the infection within hospitals. Its utility can be extended to a general clinical setting in non-emergency times as well to reduce wait time, channel the time and effort of healthcare professionals to more critical tasks and also prioritize severe cases.Our system consists of a Raspberry Pi 4, a Google Coral USB accelerator, a Raspberry Pi Camera v2 and a FLIR Lepton 3.5 Radiometry Long-Wave Infrared Camera with an associated IO module. Algorithms running in real-time detect the presence and body parts of individual(s) in view, and segments out the forehead and lip regions using PoseNet. The temperature of the forehead-eye area is estimated from the infrared camera image and cyanosis is assessed from the image of the lips in the visible spectrum. In our preliminary experiments, an accuracy of 97% was achieved for detecting fever and 77% for the detection of cyanosis, with a sensitivity of 91% and area under the receiver operating characteristic curve of 0.91. Heart rate and respiratory effort are also estimated from the visible camera.Although preliminary results are promising, we note that the entire system needs to be optimized before use and assessed for efficacy. The use of low-cost instrumentation will not produce temperature readings and identification of cyanosis that is acceptable in many situations. For this reason, we are releasing the full code stack and system design to allow others to rapidly iterate and improve the system. This may be of particular benefit in low-resource settings, and low-to-middle income countries in particular, which are just beginning to be affected by COVID-19.

scholarly journals IOTFlood: hardware and software platform using internet of things to monitor floods in real time

2021 ◽  
Vol 16 (4) ◽  
pp. 1
Author(s):  
Francisco Vital Da Silva Júnior ◽  
Mônica Ximenes Carneiro Da Cunha ◽  
Marcílio Ferreira De Souza Júnior
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Research Design ◽  
Open Source Software ◽  
Low Cost ◽  
Sensor Data ◽  
Software Platform ◽  
Web Interface ◽  
Iot Platform

Floods are responsible for a high number of human and material losses every year. Monitoring of river levels is usually performed with radar and pre-configured sensors. However, a major flood can occur quickly. This justifies the implementation of a real-time monitoring system. This work presents a hardware and software platform that uses Internet of Things (IoTFlood) to generate flood alerts to agencies responsible for monitoring by sending automatic messages about the situation of rivers. Research design involved laboratory and field scenarios, simulating floods using mockups, and later tested on the Mundaú River, state of Alagoas, Brazil, where flooding episodes have already occurred. As a result, a low-cost, modular and scalable IoT platform was achieved, where sensor data can be accessed through a web interface or smartphone, without the need for existing infrastructure at the site where the IOTFlood solution was installed using affordable hardware, open source software and free online services for the viewing of collected data.

scholarly journals One Metre Plus (1M+): A Multifunctional Open-Source Sensor for Bicycles Based on Raspberry Pi

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5812
Author(s):  
Andres Henao ◽  
Philippe Apparicio ◽  
David Maignan
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Scientific Community ◽  
Low Cost ◽  
Video Recording ◽  
Raspberry Pi ◽  
Essential Tool ◽  
Geographical Position ◽  
Motorized Vehicles ◽  
Comparability Of Results

During the last decade, bicycles equipped with sensors became an essential tool for research, particularly for studies analyzing the lateral passing distance between motorized vehicles and bicycles. The objective of this article is to describe a low-cost open-source sensor called one metre plus (1m+) capable of measuring lateral passing distance, registering the geographical position of the cyclist, and video-recording the trip. The plans, codes, and schematic design are open and therefore easily accessible for the scientific community. This study describes in detail the conceptualization process, the characteristics of the device, and the materials from which they are made. The study also provides an evaluation of the product and describes the sensor’s functionalities and its field of application. The objective of this project is to democratize research and develop a platform/participative project that offers tools to researchers worldwide, in order to standardize knowledge sharing and facilitate the comparability of results in various contexts.

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