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. 2022 Jul 27;22(15):5605.
doi: 10.3390/s22155605.

A Novel Wireless Low-Cost Inclinometer Made from Combining the Measurements of Multiple MEMS Gyroscopes and Accelerometers

Affiliations

A Novel Wireless Low-Cost Inclinometer Made from Combining the Measurements of Multiple MEMS Gyroscopes and Accelerometers

Seyedmilad Komarizadehasl et al. Sensors (Basel). .

Abstract

Structural damage detection using inclinometers is getting wide attention from researchers. However, the high price of inclinometers limits this system to unique structures with a relatively high structural health monitoring (SHM) budget. This paper presents a novel low-cost inclinometer, the low-cost adaptable reliable angle-meter (LARA), which combines five gyroscopes and five accelerometers to measure inclination. LARA incorporates Internet of Things (IoT)-based microcontroller technology enabling wireless data streaming and free commercial software for data acquisition. This paper investigates the accuracy, resolution, Allan variance and standard deviation of LARA produced with a different number of combined circuits, including an accelerometer and a gyroscope. To validate the accuracy and resolution of the developed device, its results are compared with those obtained by numerical slope calculations and a commercial inclinometer (HI-INC) in laboratory conditions. The results of a load test experiment on a simple beam model show the high accuracy of LARA (0.003 degrees). The affordability and high accuracy of LARA make it applicable for structural damage detection on bridges using inclinometers.

Keywords: Allan variance; NodeMCU; influence line measurement; low-cost sensors; noise reduction; structural health monitoring.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
(a) HI-INC biaxial inclinometer, (b) inclination streaming over X axis and (c) sampling frequency rate.
Figure 2
Figure 2
Illustration of LARA: (a) the produced product, (b) the blueprint of the designed PCB, (c) the Fritzing sketch of the system, and (d) the NODE MCU microcontroller.
Figure 2
Figure 2
Illustration of LARA: (a) the produced product, (b) the blueprint of the designed PCB, (c) the Fritzing sketch of the system, and (d) the NODE MCU microcontroller.
Figure 3
Figure 3
The required steps of real-time wireless inclination acquisition using the LARA inclinometer.
Figure 4
Figure 4
Representation of the noise ratio of a single and up to five combined inclinometers using (a) standard deviation and (b) noise density in the frequency-domain.
Figure 4
Figure 4
Representation of the noise ratio of a single and up to five combined inclinometers using (a) standard deviation and (b) noise density in the frequency-domain.
Figure 5
Figure 5
Quantifying the noise progress of various inclinometer combinations in the time domain using (a) Allan variance and (b) Allan deviation.
Figure 6
Figure 6
Test setup intended for comparing inclination estimation of LARA with HI-INC.
Figure 7
Figure 7
Estimated measured inclination difference for a different number of combined inclinometers from HI-INC estimations. One sensor (a), two sensors (b), three sensors (c), and four sensors (d).
Figure 8
Figure 8
Load test of a beam model: (a) test setup, (b) load test, and (c) sketch of the load test.
Figure 9
Figure 9
Support slope of a simply supported beam under a point load located on various spots.
Figure 10
Figure 10
Price comparison of LARA with traditional commercial inclinometers with a resolution of 0.003 degrees.

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