Research On Accurate Time Synchronization Method Of Cloud Resources And Its Application In Audience Interactive Experience System

Along with the development of the industrial internet of things,modern performing arts facilities such as smart venues and audience interactive experience systems have shown new brilliance.As an emerging venue performance facility,the audience interactive experience system has become a hot research topic due to its large-scale equipment connection and collective display.One of the difficulties in large-scale device interaction is to achieve time synchronization between devices.This thesis conducts in-depth research on this technical issue and designs optimization algorithms to overcome it.The most commonly used method for time synchronization of Io T devices is network time synchronization.The theoretical accuracy of NTP time synchronization is on the millisecond level,which can usually meet the time synchronization accuracy requirements of the ordinary Io T systems.However,due to protocol stack jitter,asymmetric interaction message path,and inherent crystal oscillator quality of hardware equipment,especially in large-scale terminal scenarios,its synchronization accuracy can expand to several hundred milliseconds,exceeding the system’s synchronization time limit.Therefore,this thesis conducted a detailed study on the optimization method of NTP time synchronization,focusing on the NTP time synchronization effect and influencing factors of interactive electronic devices such as mobile phones,and designed a computer-based NTP time synchronization scheme.After experiments,the influencing factors of NTP time synchronization were identified,and a method of "time divergence weight" was designed to optimize it.Subsequently,the optimization method was experimentally compared with several existing algorithms to verify its performance.This thesis further explains the implementation of the audience interactive experience system,including its components and functions.Finally,the time synchronization optimization algorithm was integrated into the entire system for practical testing,and the overall system was demonstrated and validated.The designed scheme has been applied and verified at the 2022 Beijing Winter Olympics and Winter Paralympics,with stable performance,meeting design requirements,and achieving important social benefits.