Hot working single-process data acquisition method based on wireless Internet of Things

Abstract

According to the hot working single-process data acquisition method based on the wireless Internet of Things, a network distribution vector is set for a traditional node to be compatible with traditional equipment, standardized transmission modes of different processes are designed, the network distribution vector is set for the traditional node to enable the traditional node to enter a sleep or doze state to be compatible with the traditional equipment, and the data acquisition efficiency is improved. The modified RTS frame sends hot working single-process request data transmission to the AP / access point, due to the fact that the data volume in the hot working process of casting, forging, welding, heat treatment and the like is large, standardized transmission modes of different processes are designed in order to guarantee safe and efficient transmission of data, and on the premise that an existing wireless internet of things network mechanism IEEE 802.11 ah is not changed, the data transmission efficiency is greatly improved. When more wireless Internet of Things coverage exists, efficient, safe and reliable data transmission is realized by using the existing wireless Internet of Things architecture, the throughput of the system is greatly improved, and the problem of efficient data transmission of a single process is solved.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method for collecting thermal processing process data based on the wireless Internet of Things. Background technique [0002] Industry is the lifeblood of a country's prosperity. New-generation information technologies such as cloud computing, big data, and the Internet of Things are continuously integrated with industrial production, and related industrial applications have emerged as the times require. In the process of industrial production reform, how to improve the level of industrial production management, ensure the reliability of industrial processes, improve product quality, and visualize production process data hinder the development of industrial modernization, and the need to build a digital industry is imminent. The importance of technologies such as the Internet of Things, big data, and cloud computing in solving these problems is self-evident, but en...

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