scholarly journals RFID Based Efficient Wireless Monitoring System

2015 ◽  
Vol 15 (3) ◽  
pp. 6585-6595
Author(s):  
Manar Khalid Ibraheem ◽  
Salih M. Al-Qaraawi ◽  
Muayad Sadik Croock

Nowadays, surveillance has become a need in any private or public area due to the increase in the number of threats such as robberies, terrorists, and abusers. In this paper, an efficient wireless monitoring system using Radio Frequency Identity (RFID) is proposed. The aim of this system is to detect a specified target during his movement in the covered region. The efficiency of the proposed system is clearly noticed through both storage capacity and power consuming reduction. This is done by dominating the work of cameras operation when receiving a signal from the distributed detectors. The obtained results show the saving in power and storage capacity is more efficient in comparison with the traditional monitoring systems. This work has two implemented sides; hardware and simulated environment that using Microsoft visual studio (C# framework).

Author(s):  
Xiaoping Ma ◽  
Honghui Dong ◽  
Xiang Liu ◽  
Limin Jia

For the railway wireless monitoring system, energy efficiency is important for prolonging the system lifetime and ensuring the successful transmission of the inspection data. In general, decreasing the size of the data packet is conductive to declining the transmission energy consumption. Hence, the inspection data packets should be processed before being transmitted. However, the energy consumption of data processing may also be considerable, especially for the vision-based monitoring system. Therefore, we propose an optimization methodology to address the trade-off of the energy usage between data processing and transmission in railway wireless monitoring systems. In addition, the various data types and transmission distances of the sensors may cause the unbalanced energy consumption, and it will shorten the system lifetime due to the failure of some sensors. To address this challenge, in our proposed optimization framework, we adopt customized compression ratios for each sensor to balance its energy consumption. On this basis, the system lifetime can be extended by minimizing and balancing the energy consumption simultaneously. Finally, we use several generalized numerical examples to demonstrate the superiority and practicality of the proposed strategy. Compared to previous methods in the literature, our proposed approach can increase service lifetime of wireless monitoring systems using equal and less energy.


2015 ◽  
Vol 738-739 ◽  
pp. 707-710
Author(s):  
Yang Sun ◽  
Ya Wen Dai ◽  
Wei Zheng Wang ◽  
Peng Li

In view of the traditional measurement system is not easy to install and design shortcomings, such as volume and requires a lot of wiring, This system used STM32 microprocessor and CC2530 ZigBee wireless technology to achieve the acquisition of High-speed rotating strain, high-speed storage, wireless monitoring system. This system can be used to replace manual operation, make the test more intelligent, more convenient and more accurate. This article used the STM32F103 chips as the main control system chip, implement the collection and storage function, CC2530 ZigBee protocol implemented wireless transmission function. Acquisition module used the high-speed AD transform chip ADS1274, Four-way synchronization acquisition, which convert digital signal transmit to the main control chip, the main control chip collected data which stored in the high capacity SD card. When need data, the system get the data from the SD card by zigbee wireless transmission to the monitor software. This system used the hardware filter and software filter, join the manning window, which reduced the influence of noise and improved the system accuracy. This paper had solved the monitoring question of the high-speed acquisition structure, implemented the function which data collection, storage and remote control for the integration, according to testing, the various technical indexes reach the system requirements[1].


2021 ◽  
Vol 11 (16) ◽  
pp. 7313
Author(s):  
Seung Soo Kwak ◽  
Yun Chan Im ◽  
Yong Sin Kim

As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abnormalities of a transformer and transmits data only if an abnormality occurs. When the proposed event controller detects an abnormality, it enables a root mean square (RMS) converter and a peak detector for sampling and transmitting the maximum RMS value of the abnormal signal and then falls into sleep mode until the next event to save energy. Simulation and experimental results show that the proposed system enhances battery lifetime by up to two orders of magnitude compared to a conventional battery-powered wireless monitoring system.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 561
Author(s):  
Taehee Lee ◽  
Chanjun Chun ◽  
Seung-Ki Ryu

Road surfaces should be maintained in excellent condition to ensure the safety of motorists. To this end, there exist various road-surface monitoring systems, each of which is known to have specific advantages and disadvantages. In this study, a smartphone-based dual-acquisition method system capable of acquiring images of road-surface anomalies and measuring the acceleration of the vehicle upon their detection was developed to explore the complementarity benefits of the two different methods. A road test was conducted in which 1896 road-surface images and corresponding three-axis acceleration data were acquired. All images were classified based on the presence and type of anomalies, and histograms of the maximum variations in the acceleration in the gravitational direction were comparatively analyzed. When the types of anomalies were not considered, it was difficult to identify their effects using the histograms. The differences among histograms became evident upon consideration of whether the vehicle wheels passed over the anomalies, and when excluding longitudinal anomalies that caused minor changes in acceleration. Although the image-based monitoring system used in this research provided poor performance on its own, the severity of road-surface anomalies was accurately inferred using the specific range of the maximum variation of acceleration in the gravitational direction.


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