Theoretical Analysis of an Optical Accelerometer Based on Resonant Optical Tunneling Effect

Jian, Aoqun; Wei, Chongguang; Guo, Liang; Hu, Jie; Tang, Jun; Li, Jun; Zhang, Xuming; Sang, Shengbo

doi:10.3390/s17020389

Cited by 16 publications

(9 citation statements)

References 25 publications

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“…With the development of time, especially with the development of computer communication technology, Internet technology, and sensor technology, the concept of the IoT has undergone considerable changes. The IoT is a kind of network that connects various networks through sensor equipment in accordance with the agreed protocol to exchange and communicate information, which can realize intelligent identification, positioning, tracking, monitoring and management [11].…”

Section: B Iot Technologymentioning

confidence: 99%

Data Fusion Model of Road Sensors based IoT Feature Clustering

Ye¹

2022

IJACSA

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The collection of traffic data can play a role in analyzing and predicting highway design, planning, and realtime traffic management. The accuracy requirements for road dynamic data collection are low, and the accuracy is usually 3%-5%. However, it is required that vehicles can pass at high speed and obtain traffic information such as vehicle classification and vehicle speed. The prerequisite for the application of Internet of Things (IoT) technology to road information monitoring lies in the research and development of sensor technology in the perception layer and communication technology in the network layer, so that can obtain a large amount of perception data to serve the development and application of algorithms. To achieve the goal of low-cost and long-term monitoring of comprehensive traffic information and road service status information, this paper constructs a road vibration monitoring system, carries out road vibration monitoring under complex road environments, and proposes a traffic information monitoring method driven by road vibration data. By deploying the pavement vibration monitoring system in the actual road, the original signal of pavement vibration under the action of vehicle moving load is obtained. Through smooth processing and eigenvalue extraction, the monitoring of vehicle speed, wheelbase driving direction, vehicle load position and traffic flow is realized. The experimental results prove that the analysis of the road dynamic response under working conditions, as well as smoothing processing and eigenvalue extraction, the numerical modeling method in this paper realizes the monitoring of the position of the vehicle load and the traffic flow. The calculation error of vehicle speed and wheelbase is within ±4%, which is helpful to find the characteristic index of road vibration signal for evaluating road service status, and provides a reference for the application of road vibration response in road damage early warning and scientific maintenance.

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Section: B Iot Technologymentioning

confidence: 99%

Data Fusion Model of Road Sensors based IoT Feature Clustering

Ye¹

2022

IJACSA

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“…For instance, Bhola [36] studies an accelerometer with a displacement sensitivity of 31 pm/g. Jian [37] presents an accelerometer with a Q-factor of 8.8 × 10 7 , sensitivity of 9 pm/g and measurement range of 130 g. F. Wan et al constructed an accelerometer based on the Fano resonance in a ring resonator and interferometer, as per the Mach-Zehnder scheme, with a theoretical sensitivity of 111.75 mW/g [38]. G. H. Dushaq et al measured the acceleration outside the sensor plane using a disk in a spring suspension mounted over a waveguide at a distance of 1 µm and achieved a sensitivity of 3 dB/g [39].…”

Section: Introductionmentioning

confidence: 99%

An Optical Measuring Transducer for a Micro-Opto-Electro-Mechanical Micro-g Accelerometer Based on the Optical Tunneling Effect

et al. 2023

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Micro-opto-electro-mechanical (MOEM) accelerometers that can measure small accelerations are attracting growing attention thanks to their considerable advantages—such as high sensitivity and immunity to electromagnetic noise—over their rivals. In this treatise, we analyze 12 schemes of MOEM-accelerometers, which include a spring mass and a tunneling-effect-based optical sensing system containing an optical directional coupler consisting of a fixed and a movable waveguide separated by an air gap. The movable waveguide can perform linear and angular movement. In addition, the waveguides can lie in single or different planes. Under acceleration, the schemes feature the following changes to the optical system: gap, coupling length, overlapping area between the movable and fixed waveguides. The schemes with altering coupling lengths feature the lowest sensitivity, yet possess a virtually unlimited dynamic range, which makes them comparable to capacitive transducers. The sensitivity of the scheme depends on the coupling length and amounts to 11.25 × 103 m−1 for a coupling length of 44 μm and 30 × 103 m−1 for a coupling length of 15 μm. The schemes with changing overlapping areas possess moderate sensitivity (1.25 × 106 m−1). The highest sensitivity (above 6.25 × 106 m−1) belongs to the schemes with an altering gap between the waveguides.

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“…The ROTE resonators provide the benefits of low cost, effortless equipping, easy fabrication and integration. Several ROTE-based sensors, such as acceleration sensors [ 20 ] and refractive index (RI) sensors [ 21 , 22 ], have been theoretically or experimentally demonstrated. An EP biosensor was proposed and designed by a parity-time (PT) coupled symmetric ROTE resonator [ 23 ] for low-concentration carcinoembryonic antigen (CEA) detection.…”

Section: Introductionmentioning

confidence: 99%

Biosensing Near the Exceptional Point Based on Resonant Optical Tunneling Effect

et al. 2021

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Inspired by exceptional point (EP) sensing in non-Hermitian systems, in this work, a label-free biosensor for detecting low-concentration analytes is proposed, via a special multilayer structure: a resonant optical tunneling resonator. Due to the square root topology near the exceptional point, a recognized target analyte perturbs the system deviated from the exceptional point, leading to resolvable modes splitting in the transmission spectrum. The performance of the designed sensor is analyzed by the coupled-mode theory and transfer matrix method, separately. Here, the simulation results demonstrate that the obtained sensitivity is 17,120 nm/imaginary part unit of refractive index (IP) and the theoretical detection limit is 4.2 × 10−8 IP (regarding carcinoembryonic antigen (CEA), the minimum detection value is 1.78 ng). Instead of the typical diffusion manner, the liquid sample is loaded by convection, which can considerably improve the efficiency of sample capture and shorten the response time of the sensor. The sketched sensor may find potential application in the fields of biomedical detection, environment protection, and drinking water safety.

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Theoretical Analysis of an Optical Accelerometer Based on Resonant Optical Tunneling Effect

Cited by 16 publications

References 25 publications

Data Fusion Model of Road Sensors based IoT Feature Clustering

Data Fusion Model of Road Sensors based IoT Feature Clustering

An Optical Measuring Transducer for a Micro-Opto-Electro-Mechanical Micro-g Accelerometer Based on the Optical Tunneling Effect

Biosensing Near the Exceptional Point Based on Resonant Optical Tunneling Effect

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