scholarly journals Low-Cost, Low-Energy, Wireless Hydrological Monitoring Platform: Design, Deployment, and Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Qasem Abdelal ◽  
Ahmad Al-Hmoud

Climate change has increasingly been considered responsible for irregular weather patterns leading to many environmental hazards and catastrophes. Coping with these conditions and providing effective solutions require monitoring and collecting data of various hydrological parameters and events in high spatial and temporal resolutions, which is generally limited by the cost and energy requirements of the monitoring devices. In this work, we push the limit of the current low-cost data acquisition capabilities by developing the HydroMon3: a hydrological monitoring platform that collects, stores, and transmits high temporal resolution data reliably and accurately, and capable of interfacing different types of sensors. The modular design is driven by utilizing the recent burst in commercially available IoT-related electronics modules to minimize the cost and maximize flexibility, while applying various hardware and software techniques to ensure reliability and energy performance. Stream stage and tipping bucket monitoring units based on the HydroMon3 platform were deployed to more than 20 locations in two different watersheds, and their performance over a 6-month season was evaluated. Collected data for a number of storms provided important insights for linking hydrological events and showed substantial variability in the monitored parameters both spatially and temporally, which were compared with local data records and confirmed that conventional hydrological data acquisition methods are under representative of the actual events. Field-proven results demonstrate the units’ ability to maintain autonomous operation from several months for the stream stage monitors to years for the rainfall gauges using of-the-shelf AA batteries.

Author(s):  
Pedro Lucas ◽  
Jorge Silva ◽  
Filipe Araujo ◽  
Catarina Silva ◽  
Paulo Gil ◽  
...  

With the raising of environmental concerns regarding pollution, interest in monitoring air quality is increasing. However, air pollution data is mostly originated from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving air quality coverage in-volves reducing the cost of sensors and making data widely available to the public. To this end, the NanoSen-AQM project proposes the usage of low-cost nano-sensors as the basis for an air quality monitoring platform, capa-ble of collecting, aggregating, processing, storing, and displaying air quality data. Being an end-to-end system, the platform allows sensor owners to manage their sensors, as well as define calibration functions, that can im-prove data reliability. The public can visualize sensor data in a map, define specific clusters (groups of sensors) as favorites and set alerts in the event of bad air quality in certain sensors. The NanoSen-AQM platform provides easy access to air quality data, with the aim of improving public health.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1064
Author(s):  
Antonio C. Domínguez-Brito ◽  
Jorge Cabrera-Gámez ◽  
Manuel Viera-Pérez ◽  
Eduardo Rodríguez-Barrera ◽  
Luis Hernández-Calvento

Environmental studies on coastal dune systems are faced with a considerable cost barrier due to the cost of the instrumentation and sensory equipment required for data collection. These systems play an important role in coastal areas as a protection against erosion and as providers of stability to coastal sedimentary deposits. The DIY (Do-It-Yourself) approach to data acquisition can reduce the cost of these environmental studies. In this paper, a low-cost DIY wireless wind data acquisition system is presented which reduces the cost barrier inherent to these types of studies. The system is deployed for the analysis of the foredune of Maspalomas, an arid dune field situated on the south coast of Gran Canaria (Canary Islands, Spain), for the specific purpose of studying the dynamics of a dune type (tongue dunes), which is typical of this environment. The results obtained can be of interest for the study of these coastal environments at both the local level, for the management of this particular dune field, and at the general level for other similar dune fields around the world.


2020 ◽  
Author(s):  
Rutinéia Tassi ◽  
Bruna Minetto ◽  
Cristiano Persh ◽  
Fabiana Campos Pimentel ◽  
Daniel Allasia

<p>The advancement of hydrological knowledge is dependent on observation data (Ex, Blume et al., 2017; Kirchner, 2006). Nevertheless, these needs may become financially unviable due to the high costs of monitoring, especially in developing countries with large territorial extensions as Brazil and scarce financial support for this purpose. Thus, it is not difficult to find large areas in Brazil without hydrological monitoring. Alternatively, satellite-based estimations have been explored to supply these deficiencies due to several advantages like measuring spatial variability, being rapidly and generally freely available on the Internet, and maintaining functionality even during catastrophic situations that can damage or temporarily shut down ground networks (e.g., flooding, overland effects of hurricanes). However, even if to calibrate these remote sensing products, the land-based monitoring is needed. In this light, citizen science where many volunteers can monitor more sites than a typical research team can be an interesting means of creating this information (Buytaert et al., 2014), although even for these volunteers, the cost could be a problem. In this perspective, we present here a low-cost framework developed and field-tested for monitoring hydrological variables (precipitation, humidity, temperature, barometric pressure, and water level) based on the Arduino Platform. The monitoring-set could be self-constructed by volunteers or distributed as assembly kits that, apart from providing reliable measures of the hydrological variables at a very low cost, can boost interest in monitoring and science. Reliability and quality tests showed that measures gathered with the developed monitoring-set are within commercial standards. However, as the Arduino Platform is open, which facilitates its application and diminish the costs, special care with the suppliers should be taken, as not all follow the same quality standards.</p>


Proceedings ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 29
Author(s):  
Luis Hamilton Pospissil Garbossa ◽  
André Luis Novaes ◽  
Katt Regina Lapa

To properly manage water resources, data acquisition through environmental monitoring is required. However, the cost of professional sophisticated hydrological monitoring equipment may be prohibitive for many locations around the world. This work aims to develop a low-cost data collection platform (L-DCP) to be used to densify the hydrological monitoring network for rainfall, small rivers level and water temperature. Low cost sensors were compared to professional ones and presented an excellent correlation, with the coefficient of determination higher than 0.99 for temperature. The L-DCP was kept activated and collecting data for over 150 days without major problems. The low-cost solution has approximately 9% of the cost of a professional solution.


Author(s):  
Margaret C. Foster ◽  
Albert J. Saubermann

The development of personal computers increases the options available for electron probe microanalysis. Hardware and software are now available for personal computers which make it feasible to use them to acquire, process, and analyze x-ray spectra. One advantage of a personal computer (PC) based system is the low cost--approximately 20% of the cost of other options. A second advantage is that a system can be developed which is tailored to the needs of the laboratory, so that experimental questions asked of the data can dictate procedures for data acquisition and processing.We have developed a PC-based system for electron probe microanalysis, which we use for data acquisition, processing, and analysis of frozen and freeze-dried biological samples. X-ray spectra may be acquired either for spot analysis or for elemental images. Spectra acquired from large areas of the frozen, hydrated sample are used together with spectra from the freeze-dried specimen to calculate concentrations relative to sample wet weight.


2011 ◽  
Vol 133 (3) ◽  
Author(s):  
Michael Gnos ◽  
Brenton Greska ◽  
Anjaneyulu Krothapalli

A low cost pyrheliometer, based on a thermoelectric sensor, was developed at the Energy and Sustainability Center at the Florida State University. In addition, an inexpensive double-axis tracking device, capable of autonomous operation, enables the pyrheliometer to operate as a stand-alone system. Widely available off-the-shelf components were used and compromises in accuracy and time responsiveness were made in order to keep the cost low. The obtained data was compared with an Eppley Normal Incidence Pyrheliometer (NIP) using model ST-1 solar tracker. Steady state values of irradiance were measured with an accuracy better than ±2%. Transient measurements are time delayed by a thermal lag of about 2 min, which leads to a high error for instantaneous measured values. However, the integrated irradiance over the course of any given day yields irradiation values with accuracy better than ±2%, even on days when the sun and clouds quickly alternate. Based on a manufacturing cost analysis, the prototype pyrheliometer system is anticipated to cost an order of magnitude less than commercially available products if mass-produced.


Photonics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Amir Matin ◽  
Xu Wang

We develop a novel compressive coded rotating mirror (CCRM) camera to capture events at high frame rates in passive mode with a compact instrument design at a fraction of the cost compared to other high-speed imaging cameras. Operation of the CCRM camera is based on amplitude optical encoding (grey scale) and a continuous frame sweep across a low-cost detector using a motorized rotating mirror system which can achieve single pixel shift between adjacent frames. Amplitude encoding and continuous frame overlapping enable the CCRM camera to achieve a high number of captured frames and high temporal resolution without making sacrifices in the spatial resolution. Two sets of dynamic scenes have been captured at up to a 120 Kfps frame rate in both monochrome and colored scales in the experimental demonstrations. The obtained heavily compressed data from the experiment are reconstructed using the optimization algorithm under the compressive sensing (CS) paradigm and the highest sequence depth of 1400 captured frames in a single exposure has been achieved with the highest compression ratio of 368 compared to other CS-based high-speed imaging technologies. Under similar conditions the CCRM camera is 700× faster than conventional rotating mirror based imaging devices and could reach a frame rate of up to 20 Gfps.


2021 ◽  
Vol 267 ◽  
pp. 01059
Author(s):  
Haixia Zeng ◽  
Ziqing Zhang ◽  
Yan Hong

Contemporary many young people more and more choose to enjoy a variety of food outside, followed by a variety of food service industry emerging in an endless stream of new ideas, new changes. Nowadays, more and more intelligent food delivery robots are appearing in restaurants in many cities, making great contributions to the improvement of the cost and efficiency of food delivery in the catering industry. This paper designs a low-cost, efficient and intelligent food delivery robot, which can receive background instructions, choose the route and order for automatic food delivery, and automatically return after the task. The intelligent food delivery robot adopts a modular design method, mainly including power supply, microprocessor, the keys, drive, positioning, tracking navigation, obstacle avoidance and Wi-Fi communication parts.


Author(s):  
Michael Gnos ◽  
Brenton Greska ◽  
Anjaneyulu Krothapalli

A low cost pyrheliometer, based on a thermoelectric sensor, was developed at the Energy and Sustainability Center at the Florida State University. In addition, an inexpensive double-axis tracking device, capable of autonomous operation, enables the pyrheliometer to operate as a stand-alone system. Widely available off-the-shelf components were used and compromises in accuracy and time responsiveness were made in order to keep the cost low. The obtained data was compared with an Eppley Normal Incidence Pyrheliometer (NIP) using model ST-1 solar tracker. Steady state values of irradiance were measured with an accuracy better than ±2%. Transient measurements are time delayed by a thermal lag of about two minutes, which leads to a high error for instantaneous measured values. However, the integrated irradiance over the course of any given day yields irradiation values with accuracy better than ±2%, even on days when the sun and clouds quickly alternate. Based on a manufacturing cost analysis, the prototype pyrheliometer is anticipated to cost less than $500 if mass-produced.


2017 ◽  
Vol 2 (1) ◽  
pp. 130-136
Author(s):  
Silviu Rei

Abstract For many educational engineering projects running in Universities, a data acquisition system is a key component. Buying a system from the market is a viable option but many times the cost of it is prohibitive for the low budgets of University projects. This paper investigates the idea of implementing an own data acquisition system with use in small educational projects. Together with the advantage of cost reduction, an own implementation is an engineering exercise in itself, providing learning opportunities for the student. The paper presents first the results of a market scan for development platforms which can be used and then an example implementation of a simple data acquisition system using a low cost development platform. The performance of the implemented system is measured and presented. The main purpose of this paper is to encourage students and young researchers to implement their own tools, using this learning experiences along the way of meeting the project targets.


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