A capacitive multi-wavelength sensor for moisture content gradient sensing in wood

Laleicke, Paul Frederik; Kamke, Frederick A.

doi:10.1007/s00226-018-0988-z

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…Rectangular interdigital sensors have been used on rubber timber by Chetpattananondha et al (2017) to determine moisture contents in the range 6-70% with 0.98% precision error. To overcome the limitation of average moisture content measurement over a predetermined extent, concentric planar electrodes of four different radii, about a central, circular ground electrode were designed by Laleicke and Kamke (2018) to incorporate multiple penetration depths in one sensor. The sensor could measure positive moisture content gradients instead of averages, with a restriction in negative moisture gradient determination.…”

Section: Capacitive Methodsmentioning

confidence: 99%

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Oommen¹,

Philip²

2022

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Timber is a commonly used building material which is porous in nature, continuously maintaining equality with relative humidity (RH) and temperature of the atmosphere in the immediate vicinity. Moisture content influences several performance parameters like timber durability, immunity to deterioration etc. Several procedures have been attempted which enables to measure the moisture contents in timber consistently and rather accurately. This review provides the technical details of the methodologies attempted so far to estimate moisture contents in timber specimens. The proposed inter-digital sensing was carried out at Department of Instrumentation, CUSAT during 2019-2020. Implementation of a method employing a spiral inter-digital capacitive sensor, which is low in cost and non-invasive in nature, is presented and discussed.

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Section: Capacitive Methodsmentioning

confidence: 99%

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Oommen¹,

Philip²

2022

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“…Chip-to-chip thermal coupling could be used to adjust the quality of compressed images. Laleicke P F and Kamke F A developed a four-channel planar capacitive sensor and calibrated it on a maple veneer [ 6 ]. The calibration material was conditioned to equilibrium at three different relative humidity levels.…”

Section: Multi-sensor Technology and Related Workmentioning

confidence: 99%

Development and Practice of Sports-Related Public Welfare Platform Based on Multi-Sensor Technology

Zhong

et al. 2023

Sensors

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Today, more and more Internet public media platforms allowing people to make donations or seek help are being founded in China. However, there are few specialized sports-related public welfare platforms. In this paper, a sports-related public welfare platform that aims to help people who were disabled due to participation in sports and those who are disabled but want to participate in sports was developed based on multi-sensor technology. A multi-sensor data fusion algorithm was developed, and its estimation performance was verified by comparing it with the existing Kalman consistent filtering algorithm in terms of average estimation and average consistency errors. Experimental results prove that the speed of the data collection and analysis of the sports-related public welfare platform using the algorithm established in this paper was greatly improved. Relevant data on how users used this platform showed that various factors affected users’ practical satisfaction with sports-related public welfare media platforms. It is suggested that a sports-related public welfare media platform should pay attention to the aid effect, and specific efforts should be devoted to improving the reliability and timeliness of public welfare aid information, and ensuring the stability of the platform system.

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“…The experimental results show that the proposed scheme can be used to perform the preliminary detection of moisture, but the industrialization of the proposed method may still need verification. In [13], the authors proposed a capacitive multi-wavelength sensor for the gradient sensing of wood MC. By extending and modifying the previous research results, the change in positive MC gradient could be determined, which improved the accuracy of the traditional capacitive sensor.…”

Section: Related Literature On Wood MC Detectionmentioning

confidence: 99%

Living Tree Moisture Content Detection Method Based on Intelligent UHF RFID Sensors and OS-PELM

Yin

Zhang

Liu

2022

Sensors

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Moisture content (MC) detection plays a vital role in the monitoring and management of living trees. Its measurement accuracy is of great significance to the progress of the forestry informatization industry. Targeting the drawbacks of high energy consumption, low practicability, and poor sustainability in the current field of living tree MC detection, this work designs and implements an ultra-high-frequency radio frequency identification (UHF RFID) sensor system based on a deep learning model, with the main goals of non-destructive testing and high-efficiency recognition. The proposed MC diagnostic system includes two passive tags which should be mounted on the trunk and one remote data processing terminal. First, the UHF reader collects information from the living trees in the forest; then, an improved online sequential parallel extreme learning machine algorithm (OS-PELM) is proposed and trained to establish a specific MC prediction model. This mechanism could self-adjust its neuron network structure according to the features of the data input. The experimental results show that, for the entire living tree dataset, the MC prediction model based on the OS-PELM algorithm can identify the MC level with a root-mean-square error (RMSE) of no more than 0.055 within a measurement range of 1.2 m. Compared with the results predicted by other algorithms, the mean absolute error (MAE) and RMSE are 0.0225 and 0.0254, respectively, which are better than the ELM and OS-ELM algorithms. Comparisons also prove that the prediction model has the advantages of high precision, strong robustness, and broad applicability. Therefore, the designed MC detection system fully meets the demand of forestry Artificial Intelligence of Things.

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A capacitive multi-wavelength sensor for moisture content gradient sensing in wood

Cited by 9 publications

References 7 publications

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Techniques to Measure Moisture Content in Timber: A Review and Proposal for Inter-digital Sensing

Development and Practice of Sports-Related Public Welfare Platform Based on Multi-Sensor Technology

Living Tree Moisture Content Detection Method Based on Intelligent UHF RFID Sensors and OS-PELM

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