A novel dew point measurement system based on the thermal effect of humidity sensitive thin film

Yan, Jiangyang; Wang, Haibo; Zheng, Yong; Huang, Xuguang; Meng, Hongyun; Tan, Chunhua

doi:10.1016/j.measurement.2021.110248

Cited by 6 publications

(2 citation statements)

References 41 publications

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“…Although this method is accurate, it is cumbersome and requires manual intervention, which can be difficult to implement during the detection of dewdrops on crops in large areas. A temperature sensor ( Yan et al, 2022 ) covered by a humidity-sensitive thin film (referred to as HSTF) is proposed. The measurement mechanism is that the mutation of the temperature-time curve caused by the thermal effect of the HSTF can be used to detect dew points.…”

Section: Related Workmentioning

confidence: 99%

Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks

Zhou

et al. 2022

Front. Plant Sci.

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During the process of drought and rehydration, dew can promote the rapid activation of photosynthetic activity and delay the wilting time of plant leaves and stems. It is clear that the amount of dew will affect the growth of plants. However, limited research is being done to detect and measure the amount of dew. Therefore, in this study, a statistical method for measuring the amount of dew based on computer vision processing was developed. In our framework, dewdrops can be accurately measured by isolating the background area based on color features and detecting the edge and statistical area. In this scheme, the multi-convolutional edge detection networks based on contour search loss function are proposed as the main implementation algorithm of edge detection. Through color feature background region segmentation and the proposed edge detection networks, our algorithm can detect dew in complex plant backgrounds. Experimental results showed that the proposed method gains a favorable detection accuracy compared with other edge detection methods. Moreover, we achieved the best Optimal Image Scale (OIS) and Optimal Dataset Scale (ODS) when testing with different pixel values, which illustrate the robustness of our method in dew detection.

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Section: Related Workmentioning

confidence: 99%

Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks

Zhou

et al. 2022

Front. Plant Sci.

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“…Information on the change of relative humidity of aggressive gas flow at a low (up to 50 • C) temperature has been found in the literature [23][24][25][26][27][28]. The newly designed, multichannel cyclone can be operated at temperatures above 100 • C, so the available data are insufficient.…”

Section: Theoretical Evaluation Of Aerodynamic Parametersmentioning

confidence: 99%

Experimental Research of Gaseous Emissions Impact on the Performance of New-Design Cylindrical Multi-Channel Cyclone with Adjustable Half-Rings

et al. 2022

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Cyclones are widely used for separating particles from gas in energy production objects. The efficiency of conventional centrifugal air cleaning devices ranges from 85 to 90%, but the weakness of many cyclones is the low collection efficiency of particles less than 10 μm in diameter. The novelty of this work is the research of the channel-type treatment device, with few levels adapted for precipitation of fine particulate matter, acting by a centrifugal and filtration principle. Many factors have an impact on cyclone efficiency—humidity, temperature, gas (air) composition, airflow velocity and etc. Many scientists evaluated only the effect of origin and size of PM on cyclone efficiency. The effect of gas (air) composition and temperature, and humidity on the multi-channel cyclone-separator efficiency still demands contributions. Complex theoretical and experimental research on air flow parameters and the efficiency of a cylindrical eight-channel system with adjustable half-rings for removing fine-dispersive particles (<20 μm) was carried out. The impact of air humidity and temperature on air flow, and gaseous smoke components on the removal of wood ashes was analyzed. The dusty gas flow was regulated. During the experiment, the average velocity of the cyclone was 16 m/s, and the temperature was 20–50 °C. The current paper presents experimental research results of wood ash removal in an eight-channel cyclone and theoretical methodology for the calculation of airflow parameters and cyclone effectiveness.

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Humidity sensors

Correia,

Castro,

Fernandes

et al. 2024

Sensory Polymers

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A novel dew point measurement system based on the thermal effect of humidity sensitive thin film

Cited by 6 publications

References 41 publications

Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks

Leaf and Stem-Based Dew Detection Algorithm via Multi-Convolutional Edge Detection Networks

Experimental Research of Gaseous Emissions Impact on the Performance of New-Design Cylindrical Multi-Channel Cyclone with Adjustable Half-Rings

Humidity sensors

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