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Description
Strain is a critical parameter for assessing the health condition of structures. This study introduces the MISS sensor, a low-cost strain sensor that integrates micro image strain sensing (MISS) technology with a Raspberry Pi and industrial camera for real-time, online strain monitoring of structures. A cloud-based platform for remote monitoring and safety alerts is also developed to support the MISS sensor. To validate its accuracy and feasibility, the MISS sensor was first compared with strain gauges in steel component tensile tests, yielding a maximum mean absolute error (MAE) of 7 με. Furthermore, in an outdoor monitoring experiment on a steel truss, the MISS sensor was compared with fiber Bragg grating (FBG) sensors over a 24-hour period, with the results showing a maximum MAE of 4 με. The MISS sensor is priced at $132. As a cost-effective tool, the MISS sensor is considered a promising technique for long-term strain monitoring.
