Method for tracing aluminum liquid smelting

Abstract

A method for tracing aluminum liquid smelting is provided, which includes storing basic information of aluminum liquid of a current reverberatory furnace as first tracing record information with unique numbering information of reverberatory furnace as index, storing the basic information of the current subpackaged aluminum liquid as second traceability record information with the unique numberinginformation of the molten aluminum pack as the index; When the aluminum liquid ladle is detected to be transported to the power frequency furnace, storing the aluminum liquid basic information of thecurrent power frequency furnace as third tracing record information with the power frequency furnace unique number information as the index; When the heat preservation furnace is confirmed to be butted with the power frequency furnace, the unique number information of the heat preservation furnace is generated, and the basic information of the aluminum liquid of the current heat preservation furnace is stored as the fourth traceability record information based on the unique number information of the heat preservation furnace. All traceability record information is retrieved to determine the relevant traceability record information corresponding to the source of the molten aluminum. The technical scheme of the invention realizes the intelligent smelting production of aluminum liquid, the collection automation, the problem transparency, the abnormal early warning, the tracing precision and the process controllability.

Description

technical field [0001] The invention relates to the technical field of piston manufacturing and processing quality management, in particular to a traceability method for molten aluminum smelting. Background technique [0002] In the related technology, the records of the smelting and circulation of molten aluminum in piston manufacturing and the circulation process are all realized through the manual recording of on-site operators. The processing shifts, processing personnel, inspection reports, The shapes of equipment and products are all recorded manually, and there are the following technical defects: [0003] (1) When a product has a quality problem, the period for finding the cause is long, and the accuracy of the finding result is poor. [0004] (2) Recording data manually has low efficiency, poor accuracy, and poor statistical ability. [0005] (3) For historical smelting data, real-time and effective analysis cannot be done to find problem bottlenecks. For equipmen...

AI Technical Summary

Problems solved by technology

[0003] (1) When there is a quality problem in the product, the cycle of finding the cause is long, and the accuracy of the search result is poor

[0004] (2) Manual data recording, low efficiency, poor accuracy, and poor statistics

[0005] (3) For historical smelting data, real-time and effective analysis cannot be done to find problem bottlenecks. For equipment operators and equipment managers, it is impossible to control the equipment status in time, and it is also impossible to realize centralized management

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