Microoptoelectromechanical acceleration transducer based on a roughly-accurate method of Fabry-Perot interferometer signal processing

The use of microelectromechanical acceleration transducers is actual in control and navigation systems of aircraft. A microelectromechanical acceleration transducer with an optical reading unit based on a two-channel Fabry-Perot interferometer is considered. Proposed to analyze fractional part of the interference pattern’s fringe to improve the accuracy of the transducer. Changes in the output signal of the optical reading unit under the action of linear accelerations at various parameters of the beamtype sensitive element and change in the interferometer’s transmission at different reflectivity of the mirrors are investigated. The conditions for switching between two channels for bypassing zones with low sensitivity are determined according to the dependences of the interferometer transmission on displacement. A method for processing optical signals has been developed, which forms the output value by concatenating rough measurement results and the calculated accurate component. The proposed processing method makes it possible to increase the accuracy of the acceleration measurements without changing the conversion range.

Design of the Walkers’ Exercise Information Service System

In this paper, we connect the pedometer to the mobile phone or personal computer using the platform of IOT. This reduces the defect of pedometer as a single node. The pedometer part integrates ADXL345 acceleration transducer and MSP430 MCU to get the data of steps, energy consumption and speed of a walker with low latency, then uploads this digital information to mobile phone or personal computer using Bluetooth technology. The data information can be uploaded into the pedometer server to realize online query of walkers' exercise records, exercise guidance and other function.

Design and Application of Vibration Signal Acquisition System Based on ATmega128 MCU

This paper introduces one method to design a vibration diagnosis device from several sides such as components choosing, circuit designing and soft programming. This device consists of ATmega128 MCU, acceleration transducer, TLC2543 and other peripheral components and it can conveniently acquire and analysis signal. The resource used to test the device was supported by Function Generator and amplified by Power Amplifier. The data was exported to PC and graphed by MatLAB application, and then made a comparison with the theoretical graph to prove the method validity. This design has simple circuit and small codes, but it can capture mechanical working state accurately, so it has preferably practical value and economic benefit.