Secondary aluminum production data tracing and benchmarking system and method based on big data

Abstract

The invention discloses a secondary aluminum production data tracing and benchmarking system and method based on big data. The secondary aluminum production data tracing and benchmarking system comprises a programmable controller, a first switch, a first photoelectric converter, a second switch, a second photoelectric converter, a third switch and a server. The server is provided with SCADA platform software in signal connection with the programmable controller, and the SCADA platform software is used for establishing acquisition points and establishing communication connection with the programmable controller to display acquired data; the programmable controller is used for collecting, processing and outputting collected data; and standard operation data is input into the SCADA platform software, the acquired data is compared with the standard operation data in real time, production benchmarking data is formed, and the production benchmarking data is formed in real time. According to the invention, the programmable controller and the touch screen program of the furnace group are transformed, corresponding detection components and sensors are selected and matched, and the workshop furnace group mark automatically records the mark production process through SCADA platform software, so that an electronic edition production process tracking card is formed, dependence on manpower is avoided, and the data authenticity and controllability are improved.

Description

technical field [0001] The invention relates to a production process tracking and benchmarking system and an operation method, in particular to a big data-based recycled aluminum production data tracking and benchmarking system and method, and belongs to the technical field of recycled aluminum. Background technique [0002] Technical status: It is the first in China in the recycled metal industry. It automatically collects the duration of the recycled metal industry process and the temperature of the corresponding aluminum liquid for benchmarking with the standard operating process. [0003] At present, in the domestic recycled metal industry, the duration of the grades in the furnace group production process (melting, alloying, stirring, alloying retention time, slag removal, degassing, standing, online degassing, casting, heat preservation, etc.) Aluminum liquid temperature) is mainly recorded manually, which will waste a lot of material and financial resources, and will ...

AI Technical Summary

Problems solved by technology

[0003] At present, in the domestic recycled metal industry, the duration of the grades in the furnace group production process (melting, alloying, stirring, alloying retention time, slag removal, degassing, standing, online degassing, casting, heat preservation, etc.) Aluminum liquid temperature) is mainly recorded manually, which will waste a lot of material and financial resources, and will also produce certain errors in the process of data recording, resulting in a serious decrease in controllability

[0004] During the smelting process of recycled metals, there are one or more operations in the same process, and the records of the on-site processes are completely dependent on manual filling, which not only increases the workload of the on-site operators, but also has low reliability in obtaining the data of the brand production process, which is compared with standard operations. The reliability of the label is low, affecting the quality of the brand, prolonging the production cycle, reducing the controllability, increasing the energy consumption of the furnace group and the production cost of the brand

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