Petrochemical machinery fault monitoring system based on big data

Abstract

The invention discloses a petrochemical machinery fault monitoring system based on big data, which is used for solving the problems in the prior art that the working environment of petrochemical machinery cannot be accurately monitored, daily point inspection is not carried out on the petrochemical machinery, and analysis and early warning are not carried out on a daily point inspection result. Through the arrangement of the acquisition module, the analysis module, the management module, the server, the execution module, the prediction module and the display module, the environmental information of the petrochemical machinery is acquired through the acquisition module, the environmental information is integrated and calculated to obtain an environmental influence value, and environmental adjustment is carried out according to the environmental influence value; and equipment point inspection and maintenance are conducted on the petrochemical machine, maintenance results are maintained in time, and it is guaranteed that the petrochemical machine can work normally.

Description

technical field [0001] The invention relates to a fault monitoring system, in particular to a petrochemical machinery fault monitoring system based on big data. Background technique [0002] With the rapid development of my country's economy, the demand for petroleum is increasing day by day. However, the corrosion of petrochemical equipment not only affects the daily transportation of petroleum, but also causes huge economic losses to related chemical petroleum enterprises. This requires relevant personnel to fully understand the importance of corrosion protection and monitoring of petrochemical equipment, increase research and summarize the laws of equipment corrosion under different media and working conditions in different environments, and effectively protect and detect petrochemical equipment Reasonable structural design of mechanical equipment, correct selection and use of materials, and selection of the best corrosion protection measures are of great significance for...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a petrochemical machinery failure monitoring system based on big data, which is used to solve the problem that the existing technology cannot accurately monitor the working environment of petrochemical machinery and does not carry out daily spot checks on petrochemical machinery, and does not check daily points. The detection results are used to analyze the early warning problem. The present invention collects environmental information of petrochemical machinery through the acquisition module, and integrates and calculates the environmental information by setting an acquisition module, an analysis module, a management module, a server, an execution module, a prediction module and a display module. , get the environmental impact value, and adjust the environment according to the environmental impact value; and carry out equipment inspection and maintenance on the petrochemical machinery, and carry out timely maintenance and repair according to the maintenance results to ensure that the petrochemical machinery can work normally

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