Abstract
This paper presents design, implementation, and test stages of internet based inclinometer system. MEMS based two-axis inclinometer sensor, isolated data acquisition board, Raspberry Pi based microcomputer, and remote FTP server are the main parts of the system. Verification, noise characterization with Allan deviation, and temperature dependency measurements are conducted. Compensation and signal processing algorithms are performed in Google Colab. Long-term test on a high-rise building have revealed that the inclinometer system is suitable for structural health monitoring applications.
Keywords
Inclinometer
Computer science
Microcomputer
Raspberry pi
Data acquisition
Real-time computing
File Transfer Protocol
Embedded system
Computer hardware
Remote sensing
The Internet
Operating system
Telecommunications
Chip
Internet of Things
Geology
Subject Areas
Advanced Fiber Optic Sensors
·Electrical and Electronic Engineering ·Physical Sciences
Structural Health Monitoring Techniques
·Civil and Structural Engineering ·Physical Sciences
Citations by Year
2022: 2
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