Abstract

Smart buildings will soon be a reality due to innovative Internet of Things (IoT) applications. IoT applications can be employed not only for energy management in a building, but also for solving emerging social issues, such as inter-floor noise-related disputes in apartments and the solitary death of an elderly person. For example, acceleration sensors can be used to detect abnormal floor vibrations, such as large vibrations due to jumping children or unusual vibrations in a house where an elderly person is living alone. However, the installation of a conventional accelerometer can be restricted because of the sense of privacy invasion. In this study, a self-powered wireless sensor using a threshold-based method is studied for the detection of floor vibrations. Vibration levels of a bare slab in a testbed are first measured when a slab is impacted by a bang machine and an impact ball. Second, a piezoelectric energy harvester using slab vibration is manufactured to generate electrical power over a threshold. Next, the correlation among harvested energy, floor vibration, and impact noise is studied to check whether harvested energy can be employed as a condition detection threshold. Finally, a prototype of a self-powered wireless sensor to detect abnormal conditions in floor vibrations is developed and its applicability is demonstrated.

Highlights

  • For the successful realization of a Smart Building [1,2], connected wireless sensors are required to detect abnormal changes in a building and make smart decisions for residents

  • Acceleration sensors are essential to those applications; in some cases, privacy invasion and cyber security problems can restrict the usage of conventional sensors

  • (IoT)applications applicationswith withconventional conventional acceleration been widely researched for implementing building automation with energy accelerationsensors sensorshave have been widely researched for implementing building automation with management technologies, and for resolving social issues, such as inter-floor noise-related disputes in apartments and the solitary death of an elderly person living alone

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Summary

Introduction

For the successful realization of a Smart Building [1,2], connected wireless sensors are required to detect abnormal changes in a building and make smart decisions for residents. Is a cantilever-type unimorph/bimorph using a ‘31’ mode This generates AC voltage proportional to the bending strains of a piezoelectric material [16,17,18,19], and isto the polingtodirection). A self-powered, threshold-based wireless sensor is proposed to detect abnormal floor vibration conditions. A cantilever-type piezoelectric energy harvester is employed to generate floor vibration conditions. Cantilever-type piezoelectric energy harvester is employed to generate electric energy proportional to the amount of mechanical floor vibration. When the vibration of a slab is high enough to generate electric energy above that the vibration of a slab transmitter is high enough to generate energy threshold, the wireless threshold, the wireless is activated andelectric transmits an above alarm that signal to a receiver.

Concept of the self-powered wireless sensor forfor threshold-based
Testbed and Dynamic Characteristics of the Slab
Testbed
Design the Cantilever-Type
63.5 PZT-5A
Correlation
Summary
Configuration
Demonstration
32 MHz10 Hz
Conclusions
Full Text
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