scholarly journals PEMILIHAN HARDWARE PEMBUATAN DATA LOGGER ONLINE MONITORING KUALITAS AIR BERBASIS MAINBOARD PC DAN OPEN SOURCE SOFTWARE

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Heru Dwi Wahjono

Real-time water quality monitoring requires data logger for automatic data retrieval  by sensors. The hardware data logger for realtime monitoring can be developed by utilizing scars computer mainboard that are still functioning and widely avaliable in the market at low prices. Through online monitoring applications that developed by using free open source software, water quality data can be measured in accordance with the specified time interval and stored in the database system. This paper discusses the hardware selection and recomendation studies that include the motherboard and CPU, storage, transmission and communication medium required for the manufacturing of computer's mainboard based data logger. The results of this study are to be used as an alternative data logger selection for realtime water quality monitoring with low investment costs. So, the water companies can monitor raw water quality from their water treatment plant as well as the industrial can monitor wastewater quality from wastewater treatment plant. Keyword : online monitoring, real time monitoring, early warning system (EWS), open source software, data logger, onlimo OSS.

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Heru Dwi Wahjono

Online and realtime monitoring system for water quality that uses a computer mainboard as data logger requires software applications that serve to control the sensor work in order to measure the water quality data and sends it to the data center. Some of the requirements such as data measurement, storage and delivery of data and early warning system are required by the data logger in order to have the features as desired by the majority of users of this system. To facilitate the making of the program code, sensor with serial communication ports (RS232C) will be used. Program control data logger that meets these requirements is developed using Water Flow Software Development Life Cycle method and using GNU C++ the free open source software (FOSS) as the development tools. Program control data logger that has been developed will be installed to the data logger hardware and operated using FreeBSD as the Operating system. The program will run on the class 10 of flash drive with 16 giga byte capacity. Keywords: water quality monitoring, online/realtime monitoring, early warning system (EWS), open source software, data logger, onlimo OSS, control data logger, GNU C++


Pashan Lake in Pune, Maharashtra, India is one of the ancient man-made lakes constructed during British era majorly as a source of water supply for the neighboring colony. Over a while, the lake has switnessed severe degradation of water quality owing to heavy deforestation on neighboring hills, hyacinth formation, industrial effluents, and various anthropogenics activities. A consistent rise in pollution is reported, making the lake water non-potable. Recently, the monitoring and analysis of the lake's water quality status are under consideration to check the suitability of water for drinking. Further, this can aid in planning suitable measures to reduce pollution levels. To address such need of real-time water quality data aforementioned, this paper proposes an online portable water quality monitoring and notification system. An Internet of things(IoT) based platform has been developed with the ability to sense, record, process and wirelessly transmit water quality data. Such platforms enable remote access to data about quality status of any water resource. Further, the developed system has been deployed in Pashan Lake and the results so obtained have been discussed.


2019 ◽  
Vol 6 (1) ◽  
pp. 7-14 ◽  
Author(s):  
Murat Gökhan Eskin ◽  
Milad Torabfam ◽  
Meral Yüce ◽  
Hasan Kurt ◽  
Alessandra Cincinelli ◽  
...  

Water quality assessment is vital to identify existing problems and any changes that emerge in water sources over a period of time. Conventional water quality monitoring systems remain to be limited to on-site sample collection and further analysis in environmental laboratories. The progress in Arduino-based low-cost and open-source hardware has paved the way for the development of low-cost, portable, and on-site measuring platforms. In this work, we have assembled an Arduino-based open-source water testing platform out of commercially available sensors and controllers. The water testing system was powered by a 9 V battery and had the capability of measuring water turbidity, acidity, and temperature on-site in real-time. The calibration and validation studies were carried out to assess the measurement capabilities of turbidity and pH sensors in the lab using calibration samples and UV-Vis-NIR absorption spectroscopy. The water quality platform was tested in an artificial lake that is located at Sabanci University Campus (Istanbul, Turkey), which serves as a reservoir for treated wastewaters and rainwater. Untreated wastewater samples were collected from the wastewater treatment station of the university for comparison. The measurements performed on several locations along the coast of the artificial lake were also validated in the laboratory. The water testing platform showed significant potential for miniaturization and portability of such analytical platforms for on-site environmental monitoring.


2017 ◽  
Vol 2017 (4) ◽  
pp. 5598-5617
Author(s):  
Zhiheng Xu ◽  
Wangchi Zhou ◽  
Qiuchen Dong ◽  
Yan Li ◽  
Dingyi Cai ◽  
...  

2021 ◽  
Vol 10 (4) ◽  
pp. 207
Author(s):  
Annie Gray ◽  
Colin Robertson ◽  
Rob Feick

Citizen science initiatives span a wide range of topics, designs, and research needs. Despite this heterogeneity, there are several common barriers to the uptake and sustainability of citizen science projects and the information they generate. One key barrier often cited in the citizen science literature is data quality. Open-source tools for the analysis, visualization, and reporting of citizen science data hold promise for addressing the challenge of data quality, while providing other benefits such as technical capacity-building, increased user engagement, and reinforcing data sovereignty. We developed an operational citizen science tool called the Community Water Data Analysis Tool (CWDAT)—a R/Shiny-based web application designed for community-based water quality monitoring. Surveys and facilitated user-engagement were conducted among stakeholders during the development of CWDAT. Targeted recruitment was used to gather feedback on the initial CWDAT prototype’s interface, features, and potential to support capacity building in the context of community-based water quality monitoring. Fourteen of thirty-two invited individuals (response rate 44%) contributed feedback via a survey or through facilitated interaction with CWDAT, with eight individuals interacting directly with CWDAT. Overall, CWDAT was received favourably. Participants requested updates and modifications such as water quality thresholds and indices that reflected well-known barriers to citizen science initiatives related to data quality assurance and the generation of actionable information. Our findings support calls to engage end-users directly in citizen science tool design and highlight how design can contribute to users’ understanding of data quality. Enhanced citizen participation in water resource stewardship facilitated by tools such as CWDAT may provide greater community engagement and acceptance of water resource management and policy-making.


2019 ◽  
Author(s):  
Jeba Anandh S ◽  
Anandharaj M ◽  
Aswinrajan J ◽  
Karankumar G ◽  
Karthik P

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