基于物联网技术的数据统计分析

Data statistical analysis based on Internet of Things technology

随着社会的不断进步,物联网成为推动社会智能化发展的关键技术。文章针对传统人工操作采集技术导致效率低的问题,提出了物联网技术的统计数据采集方法,确定了拟审计算机数据采集影响因素,以ZigBee为数据感知中心进行数据通信。计算不同参考节点需要采取的信息节点距离,分析异常数据扫描初始位置,定位异常数据,保证数据统计在不同采集设备幅度的一致性,对齐统计数据字边界,降低信息传输时延的出现概率。技术最高采集效率为80%,具有良好的采集效果。

With the continuous development of society, the Internet of Things has become a key technology to promote the development of social intelligence. In view of the low efficiency caused by traditional manual collection technology,this paper puts forward the statistical data collection method of the Internet of Things technology. Determine the influencing factors of computer data collection to be reviewed, and use ZigBee as the data perception center for data communication. It is necessary to take measures to calculate different reference nodes analyze the abnormal data, scan the initial position and locate the abnormal data. Ensure the amplitude consistency of data statistics in different acquisition equipment. Align the boundaries of statistical data words to reduce the probability of delay in information transmission. The highest acquisition efficiency of the technology is 80%, which has good acquisition effect.