scholarly journals Application of Intelligent Sensor Technology in Steady State Operation of Power System

CONVERTER ◽  
2021 ◽  
pp. 09-15
Author(s):  
Huang Zongjian
Keyword(s):  
Power System ◽  
Low Power ◽  
Antenna Selection ◽  
Field Investigation ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Intelligent Sensor ◽  
Broad Application ◽  
Detection Technology ◽  
Long Time

Wireless sensor network technology is a new monitoring technology to ensure the stable and safe operation of power system. The network has many advantages: light weight, corrosion resistance, high temperature resistance and so on, which can effectively solve the measurement problems that conventional detection technology can not afford. With its unique physical properties, the sensor technology has a relatively broad application prospect in power system. This paper focuses on the main development achievements of wireless sensor technology, and analyzes its application in power system. This paper focuses on the key technologies in the implementation of WSN. This paper discusses the routing of WSN, low power algorithm of nodes, channel deployment, antenna selection, power supply and network security. At the same time, this paper implements the low-power algorithm of the node. The node can run stably for a long time without outside interference. In this paper, through the research on the key technology of theory, the WSN technology is applied to the field investigation and verification of distribution communication network and transmission line condition monitoring, which can be used as the main technical means of the last kilometer network in the power communication terminal network planning. WSN has a broad application prospect in power system.

Implementation of Extreme Low Power Micro-Controller for a Wireless Structural Health Monitoring (SHM) System

2012 ◽  
Vol 225 ◽  
pp. 344-349 ◽  
Author(s):  
Mohamad Zikri Zainol ◽  
Faizal Mustapha ◽  
Mohamed Thariq Hameed Sultan ◽  
N. Yidris
Keyword(s):  
Structural Health Monitoring ◽  
Low Power ◽  
Health Monitoring ◽  
Green Energy ◽  
Wireless Sensor ◽  
Structural Defects ◽  
Sensor Technology ◽  
Energy Sources ◽  
Automatic Data ◽  
Structural Health

This paper presents the newly improved design of wireless sensor technology for Structural Health Monitoring (SHM) system or continuous monitoring for Non Destructive Testing (NDT). Numerous researches have indulged in designing wireless sensor networks where the reliability and the capability to do rapid assessment on the aeronautical, mechanical and civil structure are concerned. A lot of challenges associated with the design have been discussed including on power consumption by the device with regards the operation nature over period of times vs. energy sources. This research project explores the implementation of Nano Watt XLPTM technology microcontroller from Microchip and applicable smart PZT sensors or the newly refined technique in (NDT) that utilise ultrasonic guided waveform response to detect structural defects. The developed SHM system provide low power wireless nodes to perform automatic data collection and analysis with possibilities to integrate with green energy sources more effectively thus reducing the cost of maintenance and increase the reliability of the system.

Environmental Monitoring System Based on ZigBee Wireless Sensor and Low-Power Technology

2013 ◽  
Vol 662 ◽  
pp. 701-704 ◽  
Author(s):  
Hong Fen Wang
Keyword(s):  
Wireless Sensor Network ◽  
Low Power ◽  
Environmental Monitoring ◽  
Sensor Network ◽  
Monitoring System ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Monitoring Site ◽  
Application Service ◽  
Environmental Monitoring System

Environment monitoring system is an application service system for the management of industry and agriculture and the construction and operation of the national economy, which is conducive to the protection of the environment and ecology, can effectively avoid major environmental pollution incidents to threaten people's lives and property safety, and provide information support to safe energy system and to more efficient cooperative-work. The wireless sensor network is the product of the combination of sensor technology, communication technology and computer network technology. The wireless communication technologies in wireless sensor networks include infrared, Bluetooth, Wi-Fi, and ZigBee, etc.. ZigBee technology is a set of communications technology for networking, security and application software with developed based on the IEEE 802.15.4 wireless standard, which are provided with low-power, low-latency, high security and other technical advantages. In this paper, the ZigBee wireless sensor network was used for data acquisition, wireless transmission in environmental monitoring site, which overcame the disadvantages and difficulties from traditional manual sampling monitors and from complicated wiring cable network monitoring. Quickly through ZigBee network data transmission to the monitoring platform to provide a reliable basis for environmental monitoring.

On-line image readout in CTEM

1994 ◽  
Vol 52 ◽  
pp. 400-401
Author(s):  
K.-H. Herrmann ◽  
W. D. Rau ◽  
R. Sikeler
Keyword(s):  
Primary Electron ◽  
Digital Information ◽  
Electron Hole ◽  
Detection Technology ◽  
Long Time ◽  
On Line ◽  
Electron Image ◽  
Optical Transfer ◽  
Detection Quantum Efficiency ◽  
Technical Solutions

Quantitative recording of electron patterns and their rapid conversion into digital information is an outstanding goal which the photoplate fails to solve satisfactorily. For a long time, LLL-TV cameras have been used for EM adjustment but due to their inferior pixel number they were never a real alternative to the photoplate. This situation has changed with the availability of scientific grade slow-scan charged coupled devices (CCD) with pixel numbers exceeding 106, photometric accuracy and, by Peltier cooling, both excellent storage and noise figures previously inaccessible in image detection technology. Again the electron image is converted into a photon image fed to the CCD by some light optical transfer link. Subsequently, some technical solutions are discussed using the detection quantum efficiency (DQE), resolution, pixel number and exposure range as figures of merit.A key quantity is the number of electron-hole pairs released in the CCD sensor by a single primary electron (PE) which can be estimated from the energy deposit ΔE in the scintillator,

An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network

2020 ◽  
Vol 13 (8) ◽  
pp. 1166-1174
Author(s):  
Chao Wang
Keyword(s):  
Wireless Sensor Network ◽  
Congestion Control ◽  
Sensor Network ◽  
Traffic Assignment ◽  
Transmission Rate ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Detection Technology ◽  
Average Transmission

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.

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 A Low Power AC/DC Interface for Wind-Powered Sensor Nodes

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1823
Author(s):  
Mohammad Haidar ◽  
Hussein Chible ◽  
Corrado Boragno ◽  
Daniele D. Caviglia
Keyword(s):  
Low Power ◽  
Power Supply ◽  
Energy Harvester ◽  
Optimization Techniques ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Constant Voltage ◽  
Interface Circuit ◽  
Switching Converter ◽  
Input Signals

Sensor nodes have been assigned a lot of tasks in a connected environment that is growing rapidly. The power supply remains a challenge that is not answered convincingly. Energy harvesting is an emerging solution that is being studied to integrate in low power applications such as internet of things (IoT) and wireless sensor networks (WSN). In this work an interface circuit for a novel fluttering wind energy harvester is presented. The system consists of a switching converter controlled by a low power microcontroller. Optimization techniques on the hardware and software level have been implemented, and a prototype is developed for testing. Experiments have been done with generated input signals resulting in up to 67% efficiency for a constant voltage input. Other experiments were conducted in a wind tunnel that showed a transient output that is compatible with the target applications.

scholarly journals A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Daniel Ayala-Ruiz ◽  
Alejandro Castillo Atoche ◽  
Erica Ruiz-Ibarra ◽  
Edith Osorio de la Rosa ◽  
Javier Vázquez Castillo
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Sensor Node ◽  
Smart Cities ◽  
Cloud Services ◽  
Environmental Data ◽  
Security And Privacy ◽  
Wireless Sensor ◽  
Ultra Low Power ◽  
Self Powered

Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryless operation of the SN providing power supply to the sensor network. The low-power communication feature of the SN network is used to monitor the environmental data with a dynamic power management strategy successfully designed for the PMFC-based LoRa sensor node. Environmental data of ozone (O3) and carbon dioxide (CO2) are monitored in real time through a web application providing IoT cloud services with security and privacy protocols.

A low power consumption CMOS differential-ring VCO for a wireless sensor

2012 ◽  
Vol 73 (3) ◽  
pp. 731-740 ◽  
Author(s):  
Hanen Thabet ◽  
Stéphane Meillère ◽  
Mohamed Masmoudi ◽  
Jean-Luc Seguin ◽  
Hervé Barthelemy ◽  
...  
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Wireless Sensor ◽  
Low Power Consumption ◽  
Differential Ring
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