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- W4295678614 abstract "In this study, MEMS (Micro Electro Mechanical Systems) sensors are used to fabricate intelligent sensing equipment to achieve continuous and automated monitoring of the acceleration, angular velocity, and magnetic induction intensity induced by the deformation of the target structure. The accelerometers of AdiADXL345 and BoschBMA280, and the motion tracking devices InvenSenseMPU6050 and InvenSenseMPU9150 are used as the sensing sensors to collect motion-related data. Raspberry Pi 3B is utilized as the processing microcomputer to control the intelligent sensing equipment. The data acquisition, conversion, transmission, storage, and judgment of the target motion state are realized by the programming of the relevant program interface, in which the target acceleration data, gyroscope data, motion posture, location, and other information can be checked in real-time. The digital filtering and deviation correction methods are adopted to improve the accuracy of the sensing data. The experiments using these four intelligent sensing devices are conducted to examine the measuring displacement of the moving target. It is found that the smart sensing equipment can determine whether the monitoring target slides or not with high accuracy; however, it is difficult to directly obtain the absolute displacement value with a tolerable error based on the collected acceleration data." @default.
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- W4295678614 date "2022-09-14" @default.
- W4295678614 modified "2023-10-16" @default.
- W4295678614 title "Design and application of intelligent monitoring based on MEMS sensors" @default.
- W4295678614 doi "https://doi.org/10.1201/9781003319412-53" @default.
- W4295678614 hasPublicationYear "2022" @default.
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