scholarly journals Development and Validation of a Low-cost DC Resistivity Meter for Humanitarian Geophysics Applications

Geophysics ◽  
2021 ◽  
pp. 1-64
Author(s):  
Dana Sirota ◽  
Jeffrey Shragge ◽  
Richard Krahenbuhl ◽  
Andrei Swidinsky ◽  
John Bradford ◽  
...  
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
Dc Resistivity ◽  
Data Logging ◽  
Data Logger ◽  
Diverse Range ◽  
Groundwater Source ◽  
The Cost ◽  
Resistivity Meter ◽  
Development And Validation

Insufficient access to safe drinking water is one of the most challenging global humanitarian issues. The development of low-cost microcontrollers and the widespread availability of cheap electronics components raise the possibility of developing and using low-cost geophysical instrumentation with open-source designs and software solutions to circumvent geophysical instrumentation capital cost issues. To these ends, we alter an existing low-cost DC resistivity meter design and develop an optional modular Raspberry Pi data-logging system to improve the unit's functionality, usability and to ensure data integrity. Numerical modeling and physical testing demonstrates that the system is more robust than previously published low-cost designs and works in a more diverse range of geological scenarios - especially conductive environments. Our instrument was tested in a Geoscientists Without Borders (GWB) project jointly run between researchers from Colorado School of Mines (CSM) and Universit矤'Abomey-Calavi (UAC), Cotonou, Benin. A key project component involved CSM and UAC students constructing and validating two low-cost DC resistivity meters and then using these instruments for fieldwork aimed at better characterizing and monitoring the health of a local aquifer used as a groundwater source for communities in the Cotonou region. The low-cost instruments were successfully used alongside a commercial resistivity meter to acquire data for 2D inversion of aquifer hydrostratigraphy , indicating the presence of a clay-sand contact. The cost of the redesigned instrument and data logger respectively are $177 and $108 (in 2021 USD) with future cost reductions possible, which are fractions of the price of commercial resistivity meters.

Building Monitoring and Diagnostics: A Web-Based Approach

2016 ◽  
Vol 861 ◽  
pp. 556-563 ◽  
Author(s):  
Matthias Schuss ◽  
Stefan Glawischnig ◽  
Ardeshir Mahdavi
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
Data Repository ◽  
Multiple Sources ◽  
Data Logger ◽  
Present Contribution ◽  
Web Based ◽  
Building Monitoring ◽  
And Performance ◽  
Set Up

Efforts toward optimized building management and operation require monitoring data from multiple sources. Experiences from previous research projects underline the need for an easily adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for modeling and performance evaluation. The increasing availability of small and powerful development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a cost-efficient infrastructure for data collection and building monitoring. For the purpose of the present contribution, the Arduino Yún was used to create a data logger that obtains data from wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have developed a web-based user interface that enables the user to evaluate various aspects of the monitored building's performance. The communication between the software components is implemented via RESTful interfaces and enables the user to integrate also other data sources such as web services. The paper includes an actual implementation of the above approach. Thereby, we illustrate how the constitutive system components can be integrated in terms of a versatile monitoring system with multiple utilities in terms of building performance assessment and building diagnostics.

Temperature and Heat Flux Data-Logger for Use in Tunnel Ovens: An International Partnered Project

2018 ◽  
Author(s):  
Alexander Watt ◽  
Jason Wichert ◽  
Justine Staniszewski ◽  
Nathaniel Nakles ◽  
Yvonne English ◽  
...  
Keyword(s):  
Heat Flux ◽  
Engineering Students ◽  
Low Cost ◽  
Electrical Engineering ◽  
General Purpose ◽  
Ease Of Use ◽  
Maximum Temperature ◽  
Data Logging ◽  
Data Logger ◽  
City College

The Grove City College (GCC) European Study Center (ESC) is a program that allows mechanical and electrical engineering students to study abroad in the junior and senior year fall semester, respectively, and graduate in four years. The ESC is activity partners with a local institution called Oniris, which specializes in food science engineering, and veterinary science (an affiliate with the French Ministry of Agriculture). Electrical engineering students that participate in the program carry out their yearlong capstone design project (Senior Experience in Electrical Design (SEED)) in partnership with Oniris. For the 2016–2017 academic year, participating electrical engineering students completed a project titled Ultra-Low-Cost Flexible Sensor Array, or “Low-Cost Array” (LCA), designed for commercial tunnel-style ovens. The LCA features low cost ($200), flexible programmability, and ease of use (based on the widely available Arduino). The purpose of the project was to develop a low-cost data-logger to operate inside tunnel-style ovens to record temperature from thermocouples (and other analog signals, i.e. heat flux) for thirty minutes in an environment up to 250 °C. This study evaluates the LCA compared to other data-logging systems, and its performance in high temperature environments by a series of experiments. In addition, an idea of its commercialization potential was explored by interviewing industrialists and academics on-site. Experimental results showed that: (1) data logged from the system were close to values recorded by current systems used for both temperature and heat flux measurements, and (2) the system performed well at 240 °C for thirty minutes (maximum temperature of oven). In addition, the interviews revealed that although most interest was in a tunnel-style oven data-logger, it seems feasible to incorporate changes to satisfy needs for other markets, especially those of a general-purpose data-logger.

FireNot – An IoT based Fire Alerting System: Design and Implementation

2020 ◽  
Vol 12 (6) ◽  
pp. 475-489
Author(s):  
Bahman A. Sassani ◽  
Noreen Jamil ◽  
Maria Villapol ◽  
M. Abbas Malik ◽  
Sreenivas Sremath Tirumala
Keyword(s):  
Low Cost ◽  
Warning System ◽  
Cyber Attacks ◽  
Raspberry Pi ◽  
Daily Monitoring ◽  
Python Language ◽  
Alerting System ◽  
Location Detection ◽  
Android App ◽  
The Cost

Internet of Things (IoT) based systems have revolutionised the way real world systems are inter-connected through internet. At present the application of IoT based systems is extend to real time detection and warning system. However, cost has been a major factor for development and implementation of IoT systems. Considering the cost, ease of implementation, this paper proposes a low cost yet efficient IoT system called FireNot for warning and alerting fire incidents. FireNot is a cloud based system that uses sensors (hardware) to detect fire and alert the user through internet and is maintained and monitored using a simple Android app. The FireNot system uses Raspberry Pi programmed through Python language and utilises Google API for location detection. The FireNot system is also intended to provide an expandable platform for additional daily monitoring tasks and more importunately, resiliency against most cyber-attacks and hi-jacking that targets IoT-based system lacked in most of similar IoT-based designs. This paper practically demonstrates the FireNot system through extensive testing on various operations and the FireNot system is proven to be efficient.

scholarly journals Implementation of IOT Based Smart Energy Meter in Oman

2020 ◽  
Author(s):  
Hassan Ali Alajmi ◽  
Raid Rashid Ali Alsaidi ◽  
Omar Abdullah Sultan AL-shibli ◽  
Senthil Ramadoss
Keyword(s):  
Monitoring System ◽  
Web Application ◽  
Low Cost ◽  
Electricity Consumption ◽  
Raspberry Pi ◽  
Energy Meter ◽  
Exciting Opportunity ◽  
Long Time ◽  
The Cost ◽  
Python Programming

Managing the energy efficient and conserving it intelligently for appliances is very much important. On the other side, it may be possible events mistake cause while reading on energy meter, monitoring and keeping track of your electricity consumption for verification is a tedious task today. Our main objective of measuring the power consumption at homes using IOT with raspberry pi during period time, which can be controlled as well monitored through the raspberry pi across the IOT. We used Python programming language to control raspberry pi. It's based on raspbian which is operating system for all models of the raspberry Pi that subject to linux system. As we say before raspberry pi has inputs and we use it for connecting the supply, energy meter and load such as a lamp or Drill. The energy meter is connected to the raspberry pi. This allows user to easily check the energy usage along with the cost charged online using a simple web application connecting to Wi-Fi. Thus, the energy meter monitoring system allows consumer to effectively monitor electricity meter readings and bill amount in an easy way. It presents a low cost and flexible energy meter monitoring system using IOT. In addition, we use camera which is called camera pi. Camera pi takes picture from meter reading and communicates to consumer via email. All information on the energy meter screen will be taken by raspberry pi module. Using this data, the raspberry pi will calculate the bill amount then send to the consumer by email. Finally, this project will help for the proper and accurate reading of the billing process automatically. Also, it enables consumer to save the money for a long time. This technology offers new and exciting opportunity to reduce the work of workers.

scholarly journals BioSamplr: An open source, low cost automated sampling system for bioreactors

2020 ◽  
Author(s):  
John P. Efromson ◽  
Shuai Li ◽  
Michael D. Lynch
Keyword(s):  
Open Source ◽  
Low Cost ◽  
Raspberry Pi ◽  
Sampling System ◽  
Sample Interval ◽  
3D Printed ◽  
Bioreactor Experiment ◽  
Log File ◽  
Time Required ◽  
The Cost

AbstractAutosampling from bioreactors reduces error, increases reproducibility and offers improved aseptic handling when compared to manual sampling. Additionally, autosampling greatly decreases the hands-on time required for a bioreactor experiment and enables sampling 24 hrs a day. We have designed, built and tested a low cost, open source, automated bioreactor sampling system, the BioSamplr. The BioSamplr can take up to ten samples from a bioreactor at a desired sample interval and cools them to a desired temperature. The device, assembled from low cost and 3D printed components, is controlled wirelessly by a Raspberry Pi, and records all sampling data to a log file. The cost and accessibility of the BioSamplr make it useful for laboratories without access to more expensive and complex autosampling systems.

scholarly journals Broad-scale Applications of the Raspberry Pi: A Review and Guide for Biologists

2021 ◽  
Author(s):  
Jolle Wolter Jolles
Keyword(s):  
Scientific Community ◽  
Large Scale ◽  
Low Cost ◽  
Ease Of Use ◽  
Plant Phenotyping ◽  
Raspberry Pi ◽  
Ecosystem Monitoring ◽  
Diverse Range ◽  
Wide Range ◽  
Macro Scale

The field of biology has seen tremendous technological progress in recent years, fuelled by the exponential growth in processing power and high-level computing, and the rise of global information sharing. Low-cost single-board computers are predicted to be one of the key technological advancements to further revolutionise this field. So far, an overview of current uptake of these devices and a general guide to help researchers integrate them in their work has been missing. In this paper I focus on the most widely used single board computer, the Raspberry Pi. Reviewing its broad applications and uses across the biological domain shows that since its release in 2012 the Raspberry Pi has been increasingly taken up by biologists, both in the lab, the field, and in the classroom, and across a wide range of disciplines. A hugely diverse range of applications already exist that range from simple solutions to dedicated custom-build devices, including nest-box monitoring, wildlife camera trapping, high-throughput behavioural recordings, large-scale plant phenotyping, underwater video surveillance, closed-loop operant learning experiments, and autonomous ecosystem monitoring. Despite the breadth of its implementations, the depth of uptake of the Raspberry Pi by the scientific community is still limited. The broad capabilities of the Raspberry Pi, combined with its low cost, ease of use, and large user community make it a great research tool for almost any project. To help accelerate the uptake of Raspberry Pi’s by the scientific community, I provide detailed guidelines, recommendations, and considerations, and 30+ step-by-step guides on a dedicated accompanying website (raspberrypi-guide.github.io). I hope with this paper to generate more awareness about the Raspberry Pi and thereby fuel the democratisation of science and ultimately help advance our understanding of biology, from the micro- to the macro-scale.

scholarly journals Technical report of Raspberry Pi prototype for lectures in public universities

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Author(s):  
Tiago da Silva Almeida
Keyword(s):  
Remote Control ◽  
Access Control ◽  
Public Universities ◽  
Low Cost ◽  
Raspberry Pi ◽  
Control Environment ◽  
Environment Monitoring ◽  
Technical Report ◽  
Control Technologies ◽  
The Cost

This paper presents a low-cost prototype for lectures in public universities based on Raspberry Pi. It is described how to connect and configure the prototype using an infrared remote control. Technologies applied in education are widely explored in recent researches and can be held to lower the cost. The proposed prototype is 86\% cheaper on average (compared to ordinary computer) and can be used for automation of the classrooms besides lectures. For example, the prototype can be additionally used to access control, environment monitoring, and management of the environment utilization by the users.

scholarly journals Affordable Remote Monitoring of Plant Growth and Facilities using Raspberry Pi Computers

2019 ◽  
Author(s):  
Brandin Grindstaff ◽  
Makenzie E. Mabry ◽  
Paul D. Blischak ◽  
Micheal Quinn ◽  
J. Chris Pires
Keyword(s):  
Remote Monitoring ◽  
Data Transfer ◽  
Low Cost ◽  
Cost Effective ◽  
Environmental Data ◽  
Raspberry Pi ◽  
List Type ◽  
Environmental Sensors ◽  
Data Logging ◽  
The Stability

ABSTRACTPremise of the study: Environmentally controlled facilities, such as growth chambers, are essential tools for experimental research. Automated remote monitoring of such facilities with low-cost hardware can greatly improve both the reproducibility and the accurate maintenance of their conditions.Methods and Results: Using a Raspberry Pi computer, open-source software, environmental sensors, and a camera, we developed a cost-effective system for monitoring growth chamber conditions, which we have called ‘GMpi.’ Coupled with our software, GMpi_Pack, our setup automates sensor readings, photography, alerts when conditions fall out of range, and data transfer to cloud storage services.Conclusions: The GMpi offers low-cost access to environmental data logging, improving reproducibility of experiments, as well as reinforcing the stability of controlled environmental facilities. The device is also flexible and scalable, allowing customization and expansion to include other features such as machine vision.

scholarly journals Design of a Low Cost Switching Board Enabling a Reconfigurable Remote Experiment

2019 ◽  
Vol 15 (12) ◽  
pp. 32
Author(s):  
Abderrahmane Adda Benattia ◽  
Mohamed Moussa ◽  
Abdelhalim Benachenhou ◽  
Abdelhamid Mebrouka
Keyword(s):  
Low Cost ◽  
Ease Of Use ◽  
Practical Work ◽  
Circuit Board ◽  
Raspberry Pi ◽  
Measurement Instruments ◽  
Hardware Platform ◽  
Hardware Configuration ◽  
Spi Bus ◽  
The Cost

<p class="0abstract">Most of currently remote laboratories implementations include interactive experimentation. In this case, students use real devices and equipment to perform real experiments, which need some flexibility of interaction with the hardware platform. The hardware platform is composed of a Raspberry Pi as a lab server, a switching board (SB), a practical work circuit board and some measurement instruments. The SB is used to make configuration of experimentation by establishing connection between the practical work circuit and measurement instruments. During the experimentation process, students change the setup using a web page. In the background, the hardware configuration is realized using SB, which is controlled by the lab server. The purpose of this work is to develop a new SB in order to provide more possibilities, interaction flexibility with the hardware platform, ease of use, improve performance in response time and finally reduce the cost of the hardware. The SB is based on switches instead of relays. This board can be plugged directly on a Raspberry Pi to facilitate the assembly. It extends the “SPI” bus in order to control some electronic components such as digital potentiometers. Its use is illustrated with a circuit with multiple combinations.</p>

scholarly journals A low-cost, open-source autonomous surface vehicle as a multipurpose waste stabilization pond monitoring platform

2018 ◽  
Vol 9 (1) ◽  
pp. 172-180
Author(s):  
A. Cuppens ◽  
G. Menesse ◽  
E. Caligaris ◽  
O. Marecos ◽  
G. Wyseure
Keyword(s):  
Open Source ◽  
Autonomous Navigation ◽  
Low Cost ◽  
Construction Materials ◽  
Working Environment ◽  
Monitoring Data ◽  
Data Logging ◽  
Data Logger ◽  
Autonomous Surface Vehicle ◽  
Waste Stabilization

Abstract Although waste stabilization ponds (WSPs) are widely used in developing countries, monitoring data on their operational performance are scarce. Traditional methods for monitoring in-pond conditions, i.e. conducting hand held measurements from a small boat or installing fixed sensor networks, are not straightforward to realize and create an unhealthy working environment for field workers. A promising technology for the safe and efficient collection of monitoring data is a compact autonomous surface vehicle (ASV), capable of autonomous navigation along a predefined trajectory based on geographic coordinates and measurements in different places and depths. In this practical paper, the development process, technical details and functional testing results of a low-cost ASV for WSP monitoring are presented. Commonly available construction materials and electronic components were used to ensure affordability and reparability. The access to online tutorials and peer-support was crucial for assembling the open-source autopilot and data logger. The ASV demonstrated satisfactory performance for both the autonomous navigation as well as the georeferenced data logging of measurements at a real-scale WSP in Paraguay. This study demonstrates how the adoption of open-source hardware and software offers the flexibility for the wastewater professionals to develop customized DIY solutions for specific monitoring applications and working environments.

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