Life prediction method, system and equipment for steel tube bundle production equipment and storage medium

Abstract

The invention discloses a service life prediction method, system and device for steel tube bundle production equipment and a storage medium. The method comprises the steps that equipment operation data and environment data in the steel tube bundle production process are acquired; inputting the equipment operation data and the environment data into a life prediction model to obtain predicted residual life and life influence factors; and performing fault early warning according to the predicted residual life and the life influence factors. According to the service life prediction method of the steel tube bundle production equipment provided by the embodiment of the invention, real-time and rapid fatigue period analysis and prediction are carried out on the steel tube bundle production equipment based on multiple influence factors such as the equipment operation data and the environment monitoring data, and diagnosis and early warning are carried out on a fault triggering key reason; the data management standard degree, the calculation real-time performance and the equipment management efficiency are improved, and a guarantee is provided for normal production and operation of the steel tube bundle equipment.

Description

technical field [0001] The invention relates to the technical field of industrial production, in particular to a life prediction method, system, equipment and storage medium of steel pipe bundle production equipment. Background technique [0002] The steel pipe bundle production line is composed of U-shaped steel forming machine, assembly machine, welding machine, hole cutting machine and other equipment. The production of steel pipe bundles depends on the normal operation of each equipment. If the processing capacity of the equipment decreases or even shuts down due to fatigue, it will inevitably have a great impact on the entire production line. [0003] The current maintenance and repair of steel pipe bundle production equipment mainly rely on manual periodic inspections. However, periodic inspections are time-consuming and labor-intensive. The time lag for equipment fatigue problems is found and the response speed is slow. It is impossible to give early warning of equipm...

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Problems solved by technology

The production of steel pipe bundles depends on the normal operation of each equipment. If the processing capacity of the equipment decreases or even shuts down due to fatigue, it will inevitably have a great impact on the entire production line.

[0003] The current maintenance and repair of steel pipe bundle production equipment mainly rely on manual periodic inspections. However, periodic inspections are time-consuming and labor-intensive. The time lag for equipment fatigue problems is found and the response speed is slow. It is impossible to give early warning of equipment problems, and it is difficult to resist risk

In addition, the production environment is complex and the equipment is affected by many factors. Environmental changes and production intensity will also lead to changes in the fatigue cycle, and it is difficult to diagnose the cause of equipment fatigue. Multiple monitoring parameters will also lead to high computational complexity and real-time model update. low level problem

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