An IOT used piezoelectric sensor used power generation through footsteps

Santhiya, M.; Keerthika, M.; Shobana, M.; Jegatha, R.; Joan, N.S. Julie

doi:10.1016/j.matpr.2020.04.782

Cited by 3 publications

(3 citation statements)

References 34 publications

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“…Here the pressure is in the form of footstep of the people is utilized. [1][2][3][4][5] The listed points are commonly used in power generation across piezoelectric sensors.…”

Section: Methods To Harvest Electrical Power Through Footstep Power G...mentioning

confidence: 99%

“…The increase in amount of pollution in current power generation process and less productivity effects need to compensate. This paper reviews the works should be done on piezoelectric transducers for power generation [4][5][6][7]. The use of sensors has increased in various fields and their use has been increased in piezoelectric power generations as well.…”

Section: Introductionmentioning

confidence: 99%

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Review of Piezoelecric Energy Harvesting Through Footsteps

Usha,

et al. 2022

IJCCM

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In this modern world, growth of technology is highly increased and the human population. So, we have planned to connect these two things to harvest electrical power which is the ultimate source of all those technologies. This paper presents a literature review of generating power by using piezoelectric materials which converts human's footsteps into electrical energy. Many smart materials are used to generate power from many sources. In those, piezoelectric materials related papers are reviewed under the development of a device to produce electrical energy by using the pressure produced by the human while walking and jogging. The utilization of pressure obtained from compression of floors offered by human footstep pressure across the piezoelectric materials. The same technology is applicable for the long vibration system existing in the world.

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“…Here the pressure is in the form of footstep of the people is utilized. [1][2][3][4][5] The listed points are commonly used in power generation across piezoelectric sensors.…”

Section: Methods To Harvest Electrical Power Through Footstep Power G...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of Piezoelecric Energy Harvesting Through Footsteps

Usha,

et al. 2022

IJCCM

View full text Add to dashboard Cite

show abstract

“…Prevention of the effects caused by natural disasters such as earthquakes and landslides requires analysis of vibration propagation [1] . Vibration measurements can be measured using a vibration sensor such as a piezoelectric sensor [2] . The propagation can be determined by comparing the source and destination vibrations [3], [4] .…”

Section: Introductionmentioning

confidence: 99%

Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR

Wedashwara

Yadnya

Sudiarta

et al. 2023

JOIV : Int. J. Inform. Visualization

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Prevention of the effects caused by natural disasters such as earthquakes and landslides requires analysis of vibration propagation. In outdoor applications, internet sources such as WIFI are not always available, so it requires alternative data communications such as nRF24l01. The system also requires a portable power source such as solar power. This research aims to develop a vibration propagation analysis system based on the nRF24l01 wireless sensor network and solar power by implementing the fuzzy rule-based regression (FRBR) algorithm. The system consists of two piezoelectric and nrf24l01 vibration sensors. The system also uses a third node equipped with temperature and soil moisture sensors, air temperature and humidity, and light intensity as environmental variables. The evaluation results show the Quality of Services (QoS) results with a throughput of 99.564%, PDR 99.675%, and a delay of 0.0073s. The Fuzzy Association Rule (FAR) extraction results yield nine rules with average support of 0.319 and confidence of 1 for vibration propagation. The availability of solar power was evaluated with an average current value of 0.250A and a voltage of 3.266V. The results of FRBR are based on the propagation of the vibration that propagated and produced a mean square error (MSE) of 0.141 and a mean absolute error (MAE) of 0.165. The correlation matrix and FAR results show that only soil moisture has a major effect on the magnitude and duration of propagation. However, other variables can regress soil moisture with MSE 0.232 and MAE 0.287.

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