Traditional Culture Encyclopedia - Traditional culture - What's the difference between traditional manufacturing and intelligent manufacturing?
What's the difference between traditional manufacturing and intelligent manufacturing?
First of all, the definition is different:
Under the traditional manufacturing mode, the equipment in the factory comes from different brands of suppliers, and the data standards of the equipment are not uniform, which leads to data collection and uploading to different databases, and only single point analysis can be done, but the overall data analysis cannot be done.
Intelligent manufacturing mode realizes the standardization of data standards through protocol conversion, so that equipment data of different brands and various environmental data are collected and uploaded to the same database. Can analyze all equipment operation data and environmental data in the same database.
Second, the operation mode is different:
The traditional manufacturing industry passively judges whether each process is "normal" or "faulty" by monitoring the running state of equipment. If any process fails, the whole assembly line will be stopped.
Through the analysis and comparison of equipment operation data, intelligent manufacturing predicts the equipment that may fail in advance, invites the maintenance personnel of relevant manufacturers to come to the door to replace it, and arranges appropriate time to take the initiative to stop, so as to minimize the failure loss.
Third, the optimization methods are different:
Traditional manufacturing is manual inspection, which has high cost and low failure rate, and equipment operation data can not be uploaded in time and can not be optimized.
Intelligent manufacturing mode allows equipment operation data to be uploaded to the background platform remotely and directly, which can arrange patrol inspection in a targeted manner and greatly reduce the after-sales service cost; At the same time, the operation data of the equipment can be analyzed and optimized on the platform, which can prolong the service life and reduce the risk.
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