A SAW passive wireless sensor system for monitoring temperature of an electric cord connector at long distance

2011 ◽  
Author(s):  
Ping Li ◽  
Hua Xie ◽  
Yumei Wen ◽  
Chuan Wang ◽  
Shiyuan Huang ◽  
...  
Keyword(s):  
Sensor System ◽  
Wireless Sensor ◽  
Long Distance ◽  
Monitoring Temperature

scholarly journals Seismic Exploration Wireless Sensor System Based on Wi-Fi and LTE

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1018 ◽  
Author(s):  
Zhiyuan Yin ◽  
Yan Zhou ◽  
Yongxin Li
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Data Transmission ◽  
Seismic Data ◽  
High Reliability ◽  
High Rate ◽  
Sensor System ◽  
Wireless Sensor ◽  
Seismic Exploration ◽  
Long Distance

In present seismic exploration wireless sensor systems with large acquisition channels, it is difficult to achieve a high data rate, high reliability and long distance in wireless data transmission simultaneously. In this paper, a wireless seismic exploration system using a dual-layer network is proposed. The dual-layer network is designed based on Wi-Fi and LTE, so that long-distance high-rate seismic data transmission with a high reliability can be achieved. In the proposed system, the sensor array is composed of two kinds of nodes, the gateway node and the collecting node. Based on the proposed nodes, collecting node positioning, seismic data acquisition, seismic local data storage and quasi real-time remote seismic data transmission can be realized. Reliability mechanisms have been put forward to deal with the exceptions. An experiment was carried out to test the data transmission efficiency of the proposed system. The results show that the seismic exploration wireless sensor system with a dual-layer network structure can achieve quasi real-time remote seismic data transmission with no packet loss.

Long-distance FBG Sensor System for Remote Sensing and Internet of Things (IoT) Applications

2020 ◽  
Author(s):  
S. T. Hayle ◽  
B. Y. Guo ◽  
Y. C. Manie ◽  
Y. T. Hsu ◽  
J. W. Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Internet Of Things ◽  
Sensor System ◽  
Long Distance ◽  
Iot Applications ◽  
Fbg Sensor

scholarly journals Patch-Type Vibration Visualization (PVV) Sensor System Based on Triboelectric Effect

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3976
Author(s):  
Sun Jin Kim ◽  
Myeong-Lok Seol ◽  
Byun-Young Chung ◽  
Dae-Sic Jang ◽  
Jonghwan Kim ◽  
...  
Keyword(s):  
Signal Processing ◽  
Low Power ◽  
Nuclear Power ◽  
Power Plants ◽  
Computing System ◽  
Sensor System ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Patch Type ◽  
Triboelectric Effect

Self-powered wireless sensor systems have emerged as an important topic for condition monitoring in nuclear power plants. However, commercial wireless sensor systems still cannot be fully self-sustainable due to the high power consumption caused by excessive signal processing in a mini-electronic computing system. In this sense, it is essential not only to integrate the sensor system with energy-harvesting devices but also to develop simple data processing methods for low power schemes. In this paper, we report a patch-type vibration visualization (PVV) sensor system based on the triboelectric effect and a visualization technique for self-sustainable operation. The PVV sensor system composed of a polyethylene terephthalate (PET)/Al/LCD screen directly converts the triboelectric signal into an informative black pattern on the LCD screen without excessive signal processing, enabling extremely low power operation. In addition, a proposed image processing method reconverts the black patterns to frequency and acceleration values through a remote-control camera. With these simple signal-to-pattern conversion and pattern-to-data reconversion techniques, a vibration visualization sensor network has successfully been demonstrated.

scholarly journals Sensor System: A Survey of Sensor Type, Ad Hoc Network Topology and Energy Harvesting Techniques

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Phuoc Duc Nguyen ◽  
Lok-won Kim
Keyword(s):  
Energy Harvesting ◽  
Large Scale ◽  
Ad Hoc ◽  
Sensor Nodes ◽  
Sensor System ◽  
Wireless Sensor ◽  
The Internet ◽  
Original Research ◽  
Energy Scavenging ◽  
Term Operation

People nowadays are entering an era of rapid evolution due to the generation of massive amounts of data. Such information is produced with an enormous contribution from the use of billions of sensing devices equipped with in situ signal processing and communication capabilities which form wireless sensor networks (WSNs). As the number of small devices connected to the Internet is higher than 50 billion, the Internet of Things (IoT) devices focus on sensing accuracy, communication efficiency, and low power consumption because IoT device deployment is mainly for correct information acquisition, remote node accessing, and longer-term operation with lower battery changing requirements. Thus, recently, there have been rich activities for original research in these domains. Various sensors used by processing devices can be heterogeneous or homogeneous. Since the devices are primarily expected to operate independently in an autonomous manner, the abilities of connection, communication, and ambient energy scavenging play significant roles, especially in a large-scale deployment. This paper classifies wireless sensor nodes into two major categories based the types of the sensor array (heterogeneous/homogeneous). It also emphasizes on the utilization of ad hoc networking and energy harvesting mechanisms as a fundamental cornerstone to building a self-governing, sustainable, and perpetually-operated sensor system. We review systems representative of each category and depict trends in system development.

A Novel Fully Implantable Wireless Sensor System for Monitoring Hypertension Patients

2012 ◽  
Vol 59 (11) ◽  
pp. 3124-3130 ◽  
Author(s):  
N. J. Cleven ◽  
Jutta A. Muntjes ◽  
H. Fassbender ◽  
U. Urban ◽  
M. Gortz ◽  
...  
Keyword(s):  
Sensor System ◽  
Wireless Sensor

Validation of a Wireless Sensor System for the Estimation of Cumulative Lumbar Loads in Occupational Settings

2021 ◽  
Vol 65 (1) ◽  
pp. 489-494
Author(s):  
Ivan Nail-Ulloa ◽  
Sean Gallagher ◽  
Rong Huangfu ◽  
Dania Bani-Hani ◽  
Nathan Pool
Keyword(s):  
Repeated Measures ◽  
Sensor System ◽  
Wireless Sensor ◽  
Close Correspondence ◽  
Manual Lifting ◽  
Moment Estimates ◽  
Optical Motion ◽  
Optical Motion Capture ◽  
Occupational Settings ◽  
Laboratory Models

This study aimed to evaluate the accuracy of 3D L5/S1 moment estimates from a wearable inertial motioncapture system during manual lifting tasks. Reference L5/S1 moments were calculated using inversedynamics bottom-up and top-down laboratory models, based on the data from a measurement systemcomprising optical motion capture and force plates. Nine groups of four subjects performed tasks consistingof lifting and lowering 10 lbs. load with three different heights and asymmetry angles. As a measure ofsystem performance, the root means square errors and absolute peak errors between models werecompared. Also, repeated measures analyses of variance were calculated comparing the means and theabsolute peaks of the estimated moments. The results suggest that most of the estimates obtained from thewireless sensor system are in close correspondence when comparing the means, and more variability isobserved when comparing peak values to other models calculating estimates of L5/S1 moments.

The Wireless Sensor System Based on the Chip of STM32 and SH79F32

2014 ◽  
Vol 548-549 ◽  
pp. 744-747
Author(s):  
Chen Jie Qi ◽  
Hong Wei Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Design Process ◽  
Temperature Sensor ◽  
Sensor System ◽  
Wireless Sensor ◽  
Circuit Boards ◽  
Communication Tool ◽  
Wireless Transceiver ◽  
Design And Production

In this thesis, we take STM32F103R8T6 as main chip, SH79F32 as auxiliary chip, the temperature sensor of DS18B20 as collection tools, wireless transceiver based on nRF905 as communication tool, and reach the function of wireless sensor networks. Through Altium Designer Release 10 to conduct schematic design and draw PCB, and then solder circuit boards, use the software of Keil to design process, to realize wireless sensor communication between different microcontrollers, after that ,complete the design and production of wireless sensor communications platforms.

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