Internet-of-things-based data acquisition system and data compression method based on the same

Abstract

The invention, which relates to the field of the internet of things and industrial data acquisition, discloses an internet-of-things-based data acquisition system and a data compression method based on the same. The internet-of-things-based data acquisition system is composed of a field data acquisition unit, a field agent unit, a remote communication gateway unit, a message queue cluster unit, a distributed data processing unit, a cloud storage center unit and a cloud monitoring unit. On the basis of micro-service architecture based on discrete decoupling, dispersed and heterogeneous resources are integrated and dynamic and seamless extension is carried out based on service scales. Meanwhile, the collected data are divided into metadata and manufacturing data and data compression is carried out based on different encoding algorithms, so that different types of data collection needs only relay on one remote communication gateway and thus unified management and high-efficiency resource utilization are realized. Therefore, the network bandwidth is reduced during the data collection process; and compatibility with industrial internet-of-things data collection of different devices is high.

Description

technical field [0001] The invention relates to the field of data acquisition of the industrial internet of things, in particular to an internet of things data acquisition system based on data compression technology and a data compression method based on the system. Background technique [0002] With the rapid promotion of the Internet of Things technology in the industrial field and the rapid development of sensing technology at the perception layer, such as the CNC sewing machine of the "NC Generation" project and the industrial robot of the "Smart Workshop" application, it is necessary to perceive the operating status of the equipment in multiple dimensions. Embed a wide variety of sensors. However, due to the different communication protocols and data acquisition specifications of various equipment manufacturers, the traditional data acquisition system must be customized in the face of "specific manufacturers, specific equipment, and specific specifications", and it is o...

AI Technical Summary

Problems solved by technology

However, due to the different communication protocols and data acquisition specifications of various equipment manufacturers, the traditional data acquisition system must be customized in the face of "specific manufacturers, specific equipment, and specific specifications", and it is often not well compatible with equipment from different manufacturers. discrepancies and inefficient data collection

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