A control system for an aluminum profile production line

Abstract

A management and control system of an aluminum profile production line comprises an equipment control layer, an on-site work station, a data management layer and an information presentation layer, wherein various production equipment systems included in the equipment control layer are respectively provided with a technological parameter measurement and recording module, an ethernet network module and an automatic alarming device; the on-site work station is connected with the systems of the equipment control layer through the ethernet network module; the data management layer is provided with remote data monitoring equipment and a server, the server comprises storage module recording maintenance data, technological parameters and work order data, and a technological parameter optimal extraction module of adaptive studying, the remote data monitoring equipment and the server are in signal connection with the systems of the equipment control layer and the side work station through the ethernet network module. The management and control system achieves high digitization and standardization of aluminum profile extrusion production management and control, and strengthens centralized management.

Description

technical field [0001] The invention relates to the production of aluminum profiles, in particular to a management and control system for an aluminum profile production line. Background technique [0002] There are many types and quantities of machinery and equipment required for the aluminum profile extrusion production line, but the existing aluminum profile extrusion production line has a low degree of digitization and intelligence, and the production process data is often recorded by the operator alone, which will cause data loss on the one hand. Information feedback lags behind, which greatly reduces the coordination and scheduling ability of production management; on the other hand, real-time data of the processing process will be missed, and the lack of real-time collection of process data makes it difficult to effectively analyze production, so that standard and reliable processing parameters cannot be determined (such as temperature, rotation speed, etc.); for some ...

AI Technical Summary

Problems solved by technology

[0002] There are many types and quantities of machinery and equipment required for the aluminum profile extrusion production line, but the existing aluminum profile extrusion production line has a low degree of digitization and intelligence, and the production process data is often recorded by the operator alone, which will cause data loss on the one hand. Information feedback lags behind, which greatly reduces the coordination and scheduling ability of production management; on the other hand, real-time data of the processing process will be missed, and the lack of real-time collection of process data makes it difficult to effectively analyze production, so that standard and reliable processing parameters cannot be determined (such as temperature, rotation speed, etc.); for some process parameters that have been defined, it needs to be set manually by the operator. For example, the same extrusion equipment is producing different models, and different process parameters need to be set. The existing process parameters are mainly for The material is not combined with the specific product model, and it is not detailed enough. The production site mainly relies on the experience of the production workers to complete various parameter settings manually.

In this way, on the one hand, there are high requirements on the knowledge and skills of workers, on the other hand, there is a lack of supervision on whether workers operate strictly according to the specifications; there is no abnormal call and on-site information rapid transmission mechanism. Personnel manually update kanban information, and the efficiency of information transmission is low

[0003] Due to the lack of real-time management of production equipment, a large number of maintenance logs and equipment operation data cannot form electronic data that can be easily transmitted. For each equipment failure, manual failure analysis, line detection, and program optimization are required, which greatly reduces maintenance efficiency. Increased maintenance costs, making it difficult to formulate equipment maintenance plans and measures to effectively improve equipment operating efficiency

On the other hand, due to the lack of monitoring of the use of energy (such as water, electricity, steam, etc.) in the production process, it is difficult to count the details of factory energy consumption and analyze the energy efficiency of equipment and product processing energy consumption

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