Copper matte air refining procedure parameter soft sensing instrument and its soft sensing method

Abstract

The invention discloses a soft measuring apparatus for procedure parameters of copper-matte converting and a soft measuring method using the same, relating to a measuring apparatus, in particular to a soft measuring apparatus for procedure parameters of copper-matte converting and a measuring method using the same based on neural network curve fitting and mechanism analysis. The invention provides the soft measuring apparatus for the following procedure parameters of the copper-matte converting in copper-matte converting process: phase composition, elementary composition and the copper-matte converting of furnace temperature and the soft measuring method using the same. The soft measuring apparatus is provided with an intelligent apparatus, a data storage device and an upper computer, wherein the intelligent apparatus is provided with a sensor, a server, a replicating machine, an on-line display and at least one workstation; the data storage device connected with the intelligent apparatus is provided with a database and a replicating machine; and the upper computer is a soft measuring processor, which is connected with the intelligent instrument and the data storage device.

Description

technical field [0001] The invention relates to a measuring instrument, in particular to a soft measuring instrument for copper matte blowing process parameters based on neural network curve fitting and mechanism analysis and a measuring method thereof. Background technique [0002] With the development of production technology and the increasingly complex production process, in order to ensure the safe and efficient operation of production equipment, it is necessary to carry out real-time optimal control of important process variables closely related to system stability and product quality. In many metallurgical production processes, there are some important process variables, which are difficult to measure directly by sensors due to technical or economic reasons, such as the components, phases, and reaction intensity of components in copper matte blowing, but These variables can often fully reflect the process status and characteristics, and have very important reference v...

AI Technical Summary

Problems solved by technology

In many metallurgical production processes, there are some important process variables, which are difficult to be directly measured by sensors due to technical or economic reasons, such as the components, phases, and reaction intensity of components in copper matte blowing, but These variables can often fully reflect the process status and characteristics, and have very important reference value for operation and control. In the past, two methods were used to solve the control problems of such processes: one is to use indirect quality index control, but this method It is difficult to guarantee the control accuracy of the final quality index; the other is to use online analysis instruments, but the equipment investment is large, the maintenance cost is high, and the adjustment quality is reduced due to the large measurement lag

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