Building’s Health Monitoring System using Internet of Things
S. Rajaprakash1, S. Muthuselvan2, Pradeep P V3, Balamurugan. A4, Praveen M5, Rishi kumar S6
1S. Rajaprakash, Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions University, (Tamil Nadu), India.
2S. Muthuselvan, Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions University, (Tamil Nadu), India.
3Pradeep P. V, Department of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai (Tamil Nadu), India.
4Balamurugan A, Department of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai (Tamil Nadu), India.
5Praveen M, Department of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai (Tamil Nadu), India.
6Rishi Kumar S, Department of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1027-1031 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5525058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Buildings are susceptible to damage due to various factors Moreover; those same structures can suffer long-term damage if their strength is allowed to deteriorate gradually over time. The fix of these damages is very costly. Structural Health Monitoring (SHM) can relieve high repair costs by distinguishing and estimating harming wonders as they happen. In like manner, Structural Health Monitoring can moderate long haul harm by persistently observing the auxiliary state of key segments. In this work is to monitor the buildings and to alert the users by giving early indications through notifications. Structural monitoring of buildings using Internet of Things, Continuous monitoring can give early indications of structural malfunctioning of buildings. The developed WSN system continuously collects structural response data from a network of sensor nodes & uploads it to a cloud server. The response data (parameters) such as temperature, pressure, crack which can be monitored lively and represented graphically. The data imported from the cloud server has applied into analytic and if the limit is exceeded, the server will pop the alert message to the user’s mobile application. Thus it helps to improve the knowledge concerning structural behavior and early damage detection.
Keyword: Raspberry Pi, Structural Monitoring System, Damage Detection.
Scope of the Article: Internet of Things