Real-time monitoring method and system based on Internet of Things distributed architecture

Abstract

The invention relates to a real-time monitoring method based on an internet of things distributed architecture, which comprises the following steps that a corresponding lower computer data acquisition end is accessed to equipment, and real-time acquisition of parameter data of the equipment is achieved through the lower computer data acquisition end; all the lower computer data acquisition ends are connected with a data gateway so as to achieve networking of different types of equipment; the data gateway obtains parameter data acquired by the data acquisition end of the lower computer, preprocesses the parameter data according to a predetermined protocol, and transmits the processed data to the upper computer in real time for storage and analysis; a terminal user obtains various data information of the equipment from the upper computer, carries out dynamic monitoring, and gives an alarm and an early warning in time. The system comprises a plurality of lower computer data acquisition ends, a data gateway and an upper computer, wherein the plurality of lower computer data acquisition ends and the data gateway are in distributed architecture connection. According to the method, data lag, errors and loss caused by a manual information input mode can be avoided, and the production efficiency and the management level are improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent informatization of the industrial internet of things, and in particular relates to a real-time monitoring method and system based on the distributed architecture of the internet of things. Background technique [0002] In the enterprise management information system, data acquisition is undoubtedly a key to the normal operation of the entire system. For manufacturing enterprises, the working status and output data of production equipment are one of the basic data that need to be understood in the management information system. [0003] At present, most of the parameter collection of industrial production equipment relies on the independent control module that comes with the production equipment for monitoring and alarming, and then manually transcribes or downloads through PC connection equipment for corresponding data analysis. The data protocol is not uniform, and it is impossible to monitor...

AI Technical Summary

Problems solved by technology

[0003] At present, most of the parameter collection of industrial production equipment relies on the independent control module that comes with the production equipment for monitoring and alarming, and then manually transcribes or downloads through PC connection equipment for corresponding data analysis. The data protocol is not uniform, and it is impossible to monitor the key parameters of the production equipment in real time and all the time without interruption, and these key parameters cannot be permanently centralized and stored in a unified manner, which is not convenient for later reference

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