Conveying line health condition online fault big data early warning method based on wireless network

Abstract

The invention belongs to the technical field of intelligent manufacturing and industrial internet, and particularly relates to a conveying line health condition online fault big data early warning method based on a wireless network. The invention discloses comprising the following steps: 1) core edge assembly installation: S1, installing a wireless data acquisition unit at the position of a motor of each section of conveying line, and setting acquisition parameters during first deployment; S2, installing and deploying big data acquisition software and big data processing software at the server side; 2) executing a big data early warning method based on machine learning. According to the method, the healthy operation state of the conveying line can be pre-judged in advance, an imminent problem is predicted and early warned in advance, and the production benefit loss brought to a user due to equipment failure shutdown is avoided, so the modification cost of the user is indirectly reduced.

Description

Technical field[0001]The present invention belongs to the field of intelligent manufacturing, industrial Internet technology, and specific to wireless network-based delivery line health status online failure large data warning method.Background technique[0002]In manufacturing, transportation, warehousing and other industries, the conveying line includes a large number of mechanical, electrical equipment, is a component that supports normal operation of the delivery line. In order to ensure a stable operation of the entire production process, these machine devices need long-term heavy load operation. However, the refine design of the system is complicated in the working environment, but the maximum defect of equipment life, the harsh working environment makes the fine equipment failure rate is high.[0003]For motors running on the production line, vibration is a very important operating state feature. Healthy motors will have regular vibrations during operation, mainly due to the coup...

AI Technical Summary

Problems solved by technology

[0010] At present, the health status of existing industrial conveyor lines relies on manual inspections. Even if online data analysis methods are used, the data sources also rely on traditional PLC equipment and some expensive sensors. The amount of data is small, and the data available for detailed analysis cannot meet accurate predictions. degrees need

This problem is particularly prominent in industries such as express delivery and logistics with high-efficiency and fully automatic operation, and the economic loss and production time consumption caused by failures are also a huge hidden cost that cannot be ignored. , After-sales technicians are miserable, the labor cost is high and the efficiency is low

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