Steel production equipment hidden danger level automatic identification alarm system

Abstract

The invention relates to a steel production equipment hidden danger level automatic identification alarm system, and belongs to the technical field of steel production risk assessment and early warning. The system comprises a steel safety production control module, a shooting guidance module, an edge calculation module, an image structured data conversion module, an equipment hidden danger level data model base module, an equipment health data model base module, a far-end server and other structures. According to the invention, the shooting guide module is controlled to shoot the pictures of the designated position and angle of the inspection equipment; and the image structured data conversion module, the equipment hidden danger level data model library module and the equipment health datamodel library module are controlled to perform corresponding calculation through the edge calculation module, the hidden danger level and the health index level of the inspection equipment are automatically identified, and an alarm is given according to conditions. The reliability and safety of operation, maintenance and inspection of the steel production equipment are improved, economy, perspectiveness and safety of planned inspection and maintenance of the steel production equipment are improved, and the method is easy to apply and popularize.

Description

technical field [0001] The invention belongs to the technical field of iron and steel production risk assessment and early warning, and in particular relates to an automatic identification and alarm system for hidden danger levels of iron and steel production equipment. Background technique [0002] In the process of steel production, the maintenance of production equipment is crucial to safe production. There are usually reactive, planned, periodic and post-failure maintenance. With the development of industrial Internet technology, predictive maintenance has also been incorporated into the maintenance process by many steel companies However, for some iron and steel enterprises whose informatization development is relatively lagging or with insufficient investment, predictive maintenance can only remain at the conceptual stage. At the same time, traditional unplanned downtime maintenance often easily causes personal injury, or the production is affected due to excessive dow...

AI Technical Summary

Problems solved by technology

At the same time, traditional unplanned downtime maintenance often easily causes personal injury, or the production is affected due to excessive downtime, resulting in high maintenance costs and difficult control of maintenance risks.

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