Turbidimeter and RGB sensor for remote measurements in an aquatic medium

Sampedro, Óscar; Salgueiro, José R.

doi:10.1016/j.measurement.2015.02.049

Cited by 23 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The sensor S1223, whose accuracy was previously studied, was chosen for the analysis of the samples [ 29 , 31 ]. The tests carried out revealed that the most accurate results were obtained when the sensor ( Figure 1 a, right) was as close as possible to the sample without touching it, and the light source ( Figure 1 a, left) [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ] was at a distance of about 23.77 mm with regard to the test tube. All samples were stored in standard 12 mm × 12 mm × 50 mm plastic test tubes of the SEOH brand [ 41 ], designed for spectrophotometry purposes.…”

Section: Methodsmentioning

confidence: 99%

“…Deploying spectroscopic-based sensors throughout the sewerage system to monitor the pollution load in real time requires an enormous amount of equipment that must therefore meet the requirement of being cost-effective. The literature already describes the availability of compact and low-cost UV–Vis spectrophotometers to monitor WWTP processes [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. In addition, the installation of storm water storage and sedimentation tanks is usually economically unacceptable, thus a monitoring system to optimize the management of the sewer network is the most cost-effective and, probably, the most ecological variant as well [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

View full text Add to dashboard Cite

Local administrations are increasingly demanding real-time continuous monitoring of pollution in the sanitation system to improve and optimize its operation, to comply with EU environmental policies and to reach European Green Deal targets. The present work shows a full-scale Wastewater Treatment Plant field-sampling campaign to estimate COD, BOD5, TSS, P, TN and NO3−N in both influent and effluent, in the absence of pre-treatment or chemicals addition to the samples, resulting in a reduction of the duration and cost of analysis. Different regression models were developed to estimate the pollution load of sewage systems from the spectral response of wastewater samples measured at 380–700 nm through multivariate linear regressions and machine learning genetic algorithms. The tests carried out concluded that the models calculated by means of genetic algorithms can estimate the levels of five of the pollutants under study (COD, BOD5, TSS, TN and NO3−N), including both raw and treated wastewater, with an error rate below 4%. In the case of the multilinear regression models, these are limited to raw water and the estimate is limited to COD and TSS, with less than a 0.5% error rate.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Оптичний метод є найефективнішим для безпе-рервного автоматичного контролю концентрації пилу як в атмосфері, так і у димових газах промислових підприємств без попереднього відбору [5][6][7]. Метод заснований на ослаблення світла за рахунок його погли-нання і розсіяння при проходженні через досліджуване пило-газове середовище.…”

Section: аналіз літературних даних та постановка задачіunclassified

Improving the structural schemes of optical dust measuring instruments

Корнієнко¹

2016

TAPR

View full text Add to dashboard Cite

“…The use of RGB allowed the study of on-line chromatic values without the cost spiraling throughout the winemaking process [ 27 ]. An RGB sensor was also used to obtain information about the color of the sample, detecting the movement of phytoplankton [ 28 ]. In the case of tap water, RGB sensors through a web cam were also utilized to control the concentration of parameters, such as ortho-phosphate and aluminum (III) [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Performing Calibration of Transmittance by Single RGB-LED within the Visible Spectrum

Carreres-Prieto

García

Cerdan

et al. 2020

Sensors

View full text Add to dashboard Cite

Spectrophotometry has proven to be an effective non-invasive technique for the characterization of the pollution load of sewer systems, enabling compliance with new environmental protection regulations. This type of equipment has costs and an energy consumption which make it difficult to place it inside a sewer network for real-time and massive monitoring. These shortcomings are mainly due to the use of incandescent lamps to generate the working spectrum as they often require the use of optical elements, such as diffraction gratings, to work. The search for viable alternatives to incandescent lamps is key to the development of portable equipment that is cheaper and with a lower consumption that can be used in different points of the sewer network. This research work achieved the following results in terms of the measured samples: First, the development a calibration procedure that enables the use of RGB-LED technology as a viable alternative to incandescent lamps, within the range of 510 to 645 nm, with high accuracy. Secondly, demonstration of a simple method to model the transmittance value of a specific wavelength without the need for optical elements, achieving a cost-effective equipment. Thirdly, it provides a simple method to obtain the transmittance based on the combination of RGB colors. Finally its viability is demonstrated for the spectral analysis of wastewater.

show abstract

Turbidimeter and RGB sensor for remote measurements in an aquatic medium

Cited by 23 publications

References 16 publications

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models

Improving the structural schemes of optical dust measuring instruments

Performing Calibration of Transmittance by Single RGB-LED within the Visible Spectrum

Contact Info

Product

Resources

About