Artificial Intelligence Technology to Mechanical Vibration Wireless Sensor Monitoring Terminal Design Research

Abstract

Mechanical vibrations have been noticed since they were discovered a long time ago. Because almost all machinery in the process of motion will produce vibration, some is due to the external force caused by vibration, and some external forces act on a substance to produce vibration caused by the resonance phenomenon, these will have an impact on the efficiency of the original machinery or internal performance. To solve these problems, scientists have been trying for many years to determine exactly why vibrations occur to achieve their goals by using vibrations or reducing them. Therefore, artificial intelligence technology is used to design and study the monitoring terminal of mechanical vibration wireless sensor. After querying the relevant data at home and abroad and carrying out a simple simulation experiment, this paper designs it by using a variety of algorithms, and finally selects a better algorithm to carry out the final fitting design and experiment. Finally, we chose the electronic tag image matching algorithm for system design. The experimental results show that the electronic label image matching algorithm is more accurate and the imaging speed is faster than other algorithms.