Iron and steel enterprise quality information platform

Abstract

The invention discloses an iron and steel enterprise quality information platform, which belongs to the technical field of iron and steel enterprise quality automatic control. The iron and steel enterprise quality information platform comprises a hardware and a software operated on the hardware, wherein the hardware comprises a peripheral data system, a data collection server, a database server, a client computer, a printer which is connected on a client and an anti-virus server, and the peripheral data system is composed of a PCS (Process Control System) which is composed of a PLC (Programmable Logic Controller) and a DCS (Distributed Control System), an MES (Manufacturing Execution System), an ERP (Enterprise Resource Planning) management system and a checking and testing system; and the software comprises a data collection software, a database software and an iron and steel enterprise quality information platform software. The iron and steel enterprise quality information platform disclosed by the invention has the advantages that the situation that an original quality management system is dispersed in self establishing systems of partial procedures and partial factories is broken, a quality information platform is constructed by using the processes as a principal line, deep parallel integration is carried out between the processes, real translucency between the processes can be achieved, an unified analysis optimization tool is provided for analyzing the processes, and the sharing of data and knowledge is achieved.

Description

technical field [0001] The invention belongs to the technical field of automatic quality control of iron and steel enterprises, and in particular provides a quality information platform for iron and steel enterprises. Background technique [0002] Iron and steel enterprises have a long product cycle, and customers have diversified demands on product varieties, specifications, and performance, so that the quality management of iron and steel products can no longer be solved by establishing a quality model for a certain process or several steel types. The quality management and control of the entire life cycle covers many links such as product design and development, sales order quality design, production process control operation, process quality inspection, quality final judgment, process non-conformity quality judgment, process route change, etc. Quality information platform for iron and steel enterprises. [0003] In the 1970s, iron and steel enterprises centered on outpu...

AI Technical Summary

Problems solved by technology

Although some enterprises support process integration, most links only focus on the collection and management of information in the process, which is a relatively lagging static management, and has not realized the management and control of the process itself.

[0006] (2) The core process of the quality management system, that is, the setting, control and improvement of the sub-processes of the product realization process are relatively weak, lack of modeling and analysis of the process, and the integration between sub-processes only stays at the level of process output information transmission On the other hand, there is no deep parallel integration between processes

Most of the sub-process links are still "black box processes" and are opaque to each other, resulting in poor responsiveness of enterprises to process abnormalities and quality problems, and insufficient agility in quality demand response, quality analysis and quality improvement processes.

[0007] (3) At present, most steel mills will establish a product quality database, and use some mathematical tools to mine knowledge and make relevant analysis. However, due to the diversity of steel products and the complexity of production processes, there is no unified method and method for product quality and defect analysis. There is no unified management and sharing platform for the excavated knowledge, and it is limited to the knowledge accumulation of certain steel grades.

[0008] (4) Enterprises that realize informatization mostly use statistical process control SPC to automatically collect the actual control result data of each unit through unit automation, and can draw control charts in real time to judge whether the actual production process is stable, but most of them are currently limited to single-variable control

In fact, in the process of iron and steel production, there are various operating parameters that affect product quality, and there are coupling relationships between each operating parameter. Only controlling a certain parameter cannot achieve the goal of fine control

[0009] (5) The current quality model is limited to a certain process or equipment, and can only make judgments on the quality of semi-finished products or process capabilities, and does not judge the entire production process of the product

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