Truly Nonintrusive Liquid-Level-Sensing Method Based on Lateral Displacement Effect of Light Rays

Singh, Hidam Kumarjit; Meitei, N. C.; Sarkar, Samir; Tiwari, Dhananjay; Bezboruah, Tulshi

doi:10.1109/jsen.2012.2227594

Cited by 15 publications

(3 citation statements)

References 20 publications

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“…The proposed system achieved a measurement resolution in the range of

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µm and could measure liquid levels over 100 mm in depth. The same authors in [ 55 ] proposed a non-contact method for the measurement of the liquid level at a micrometer (40–50 µm) resolution for the liquid volume of up to 47 mL, which is much smaller than in our experiments. The proposed theoretical background of the approach is, however, the closest one to our method: using optically related phenomena due to the different optic proprieties of different media (i.e., air and liquid).…”

Section: Literature Review and Contributionsmentioning

confidence: 72%

“…Compared to our approach, additional hardware for optical manipulation (splitters and mirrors) was needed with the additional limitation that light needs to be emitted from above the container, which might be impractical or impossible in the bottling process and for closed containers. Additionally, as noted by the authors, the method in [ 55 ] is best suited for static and not dynamic conditions and related phenomena (like bubbling) which occur during the filling process.…”

Section: Literature Review and Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Image-Based Sensor for Liquid Level Monitoring during Bottling with Application to Craft and Home-Brewing

Musić

Stančić

Džaja

et al. 2023

Sensors

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Although craft and home brewing have fueled the beer renaissance in the last decade, affordable, reliable, and simple sensing equipment for such breweries is limited. Thus, this manuscript is motivated by the improvement of the bottle-filling process in such settings with the objective of developing a liquid level sensor based on a novel application of the known optical phenomena of light refraction. Based on the different refraction indices of liquid and air (and critical angle based on Snell’s law), along with a novel LED light source positioning, a reliable liquid level sensor system was built with the aid of an embedded microcontroller. The used operating principle is general and can be used in applications other than the proposed one. The proposed method was extensively tested in a laboratory and limited production settings with a speed of 7 Hz using different liquids and container shapes. It was compared for accuracy to other sensing principles such as ultrasound, infrared, and time-of-flight. It demonstrated comparable or better performance with a height error ranging between −0.1534 mm in static conditions and 1.608 mm for realistic dynamic conditions and good repeatability on the production line with a 4.3 mm standard deviation of the mean.

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“…The proposed system achieved a measurement resolution in the range of

–

Section: Literature Review and Contributionsmentioning

confidence: 72%

Section: Literature Review and Contributionsmentioning

confidence: 99%

Image-Based Sensor for Liquid Level Monitoring during Bottling with Application to Craft and Home-Brewing

Musić

Stančić

Džaja

et al. 2023

Sensors

View full text Add to dashboard Cite

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“…Some studies use optical diffusion and reflection principles to implement nonintrusive water-level measurements with external light sources, but some parts of these techniques have to be applied in storage barrels with a low light inference and a high water transparency [ 28 – 30 ]. For example, [ 29 ] uses the horizontal diffusion proportional change in light when it shines in transparent water bodies with different water levels. The water level in the tank can be subsequently calculated by using the conversion function.…”

Section: Introductionmentioning

confidence: 99%

Cyber Surveillance for Flood Disasters

Lin

et al. 2015

Sensors

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Regional heavy rainfall is usually caused by the influence of extreme weather conditions. Instant heavy rainfall often results in the flooding of rivers and the neighboring low-lying areas, which is responsible for a large number of casualties and considerable property loss. The existing precipitation forecast systems mostly focus on the analysis and forecast of large-scale areas but do not provide precise instant automatic monitoring and alert feedback for individual river areas and sections. Therefore, in this paper, we propose an easy method to automatically monitor the flood object of a specific area, based on the currently widely used remote cyber surveillance systems and image processing methods, in order to obtain instant flooding and waterlogging event feedback. The intrusion detection mode of these surveillance systems is used in this study, wherein a flood is considered a possible invasion object. Through the detection and verification of flood objects, automatic flood risk-level monitoring of specific individual river segments, as well as the automatic urban inundation detection, has become possible. The proposed method can better meet the practical needs of disaster prevention than the method of large-area forecasting. It also has several other advantages, such as flexibility in location selection, no requirement of a standard water-level ruler, and a relatively large field of view, when compared with the traditional water-level measurements using video screens. The results can offer prompt reference for appropriate disaster warning actions in small areas, making them more accurate and effective.

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