Automatic Meter Reader Using Zigbee

The real-time monitoring of a data is crucial in ensuring the accuracy of the acquired data. It determines whether the device is properly working or in fault. This paper proposed the design and implementation of a ZigBee-based wireless automatic meter reading system. It focuses on the development of a device that is capable of monitoring meter reader remotely. It sends the data hourly or daily using Zigbee as the transmitting medium. The proposed device uses software; XCTU, Arduino Programming Language, Multisim and hardware; Microcontroller, Pulse generating circuit, Zigbee antenna, 16X2 LCD Display to actually demonstrate the result. This device has a good potential in wireless meter reading due to its low-cost, low power consuming, and low data rate. The input is the pulse generated by the pulsating circuit and the output will be shown onto the LCD display and in the XCTU software proving that it transmitted wirelessly. The results successfully shows the data is received as what it is transmitted.

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Design and implementation of low-power low-cost quasi steady-state magnetoplasmadynamic propulsion using Ar-He and N2-He gas mixtures

International Journal of Aerospace System Science and Engineering ◽

10.1504/ijasse.2021.114118 ◽

2021 ◽

Vol 1 (1) ◽

pp. 20

Author(s):

C.A. Barry Stoute

Keyword(s):

Steady State ◽

Low Power ◽

Low Cost ◽

Gas Mixtures ◽

Quasi Steady State ◽

Design And Implementation

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A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ◽

10.1109/jetcas.2021.3098454 ◽

2021 ◽

pp. 1-1

Author(s):

Laura Falaschetti ◽

Lorenzo Manoni ◽

Romel Calero Fuentes Rivera ◽

Danilo Pau ◽

Gianfranco Romanazzi ◽

...

Keyword(s):

Low Power ◽

Real Time ◽

Low Cost ◽

Image Detector ◽

Esca Disease ◽

Real Time Image ◽

Grape Leaf ◽

Time Image

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Design and implementation of real-time monitoring based on Android and HMI of PV tower system for laboratory scale

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/383/1/012066 ◽

2018 ◽

Vol 383 ◽

pp. 012066

Author(s):

O Penangsang ◽

A Soeprijanto ◽

N K Aryani ◽

D F U Putra ◽

Suyanto ◽

...

Keyword(s):

Real Time ◽

Laboratory Scale ◽

Real Time Monitoring ◽

Design And Implementation ◽

Tower System

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Non-intrusive vital sign monitoring using an intelligent pillow based on a piezoelectric ceramic sensor

Journal of Engineered Fibers and Fabrics ◽

10.1177/1558925020977268 ◽

2020 ◽

Vol 15 ◽

pp. 155892502097726

Author(s):

Wei Wang ◽

Zhiqiang Pang ◽

Ling Peng ◽

Fei Hu

Keyword(s):

Heart Rate ◽

Real Time ◽

Piezoelectric Ceramic ◽

Low Cost ◽

Body Movement ◽

Vital Signs ◽

High Heart Rate ◽

Detection Accuracy ◽

Processing Unit ◽

Real Time Monitoring

Performing real-time monitoring for human vital signs during sleep at home is of vital importance to achieve timely detection and rescue. However, the existing smart equipment for monitoring human vital signs suffers the drawbacks of high complexity, high cost, and intrusiveness, or low accuracy. Thus, it is of great need to develop a simplified, nonintrusive, comfortable and low cost real-time monitoring system during sleep. In this study, a novel intelligent pillow was developed based on a low-cost piezoelectric ceramic sensor. It was manufactured by locating a smart system (consisting of a sensing unit i.e. a piezoelectric ceramic sensor, a data processing unit and a GPRS communication module) in the cavity of the pillow made of shape memory foam. The sampling frequency of the intelligent pillow was set at 1000 Hz to capture the signals more accurately, and vital signs including heart rate, respiratory rate and body movement were derived through series of well established algorithms, which were sent to the user’s app. Validation experimental results demonstrate that high heart-rate detection accuracy (i.e. 99.18%) was achieved in using the intelligent pillow. Besides, human tests were conducted by detecting vital signs of six elder participants at their home, and results showed that the detected vital signs may well predicate their health conditions. In addition, no contact discomfort was reported by the participants. With further studies in terms of validity of the intelligent pillow and large-scale human trials, the proposed intelligent pillow was expected to play an important role in daily sleep monitoring.

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