Blockchain-based edge node disaster monitoring and early warning system and method

Abstract

The invention discloses a block chain-based edge node disaster monitoring and early warning system and method. The system includes: a data acquisition layer for collecting state information of edge devices, an industrial control terminal for collecting working condition parameter information of edge devices through an industrial control system, and an The industrial Internet platform that sends the threshold configuration information to the smart terminal by the block chain; the smart terminal performs preliminary abnormal diagnosis on the edge device according to the status information of the edge device collected by the data acquisition layer and the threshold configuration information issued by the industrial Internet platform; and the preliminary diagnosis The data packets of abnormal edge devices are uploaded to the industrial Internet platform through the blockchain. The edge computing capability provided by the smart terminal avoids the transmission of the full amount of status monitoring data to the industrial Internet platform for centralized processing, and reduces the requirements for communication line transmission bandwidth and server storage and computing capabilities. It is suitable for real-time status monitoring and intelligence of a large number of edge devices. Operation and maintenance applications to ensure the real-time and continuity of system monitoring data.

Description

technical field [0001] The invention relates to the field of equipment status monitoring, in particular to a blockchain-based edge node disaster monitoring and early warning system and method. Background technique [0002] Key electromechanical edge devices such as motors, pumps, and reciprocating machines are the edge core nodes of industrial production and are always in high-intensity operation. In the past, key edge equipment required regular maintenance, manual dismantling and replacement of some damaged parts, to avoid accidental failures due to fatigue or environmental failures. With the upgrading of monitoring technology, the maintenance of key edge devices is gradually becoming automated. The current monitoring system for key edge devices has two deficiencies. One is that the pyramid system architecture causes the full amount of data to be transmitted to the background or cloud platform for processing, which poses challenges to communication bandwidth and storage ca...

AI Technical Summary

Problems solved by technology

The current monitoring system for key edge devices has two deficiencies. One is that the pyramid system architecture causes the full amount of data to be transmitted to the background or cloud platform for processing, which poses challenges to communication bandwidth and storage capacity, and there are security risks in the transmission process; Second, the early warning system with a single mechanism cannot accurately warn of failures or generate unnecessary false alarm shutdowns, and cannot achieve monitoring-control linkage

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