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

A technology of process parameters and soft measurement, which is applied in the field of measuring instruments, can solve the problems of difficulty in ensuring the control accuracy of final quality indicators, the degradation of measurement lagging adjustment quality, and high maintenance costs, and achieve the effects of small investment, low maintenance costs, and high adjustment quality

Inactive Publication Date: 2008-10-15
XIAMEN UNIV
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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

Method used

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

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Embodiment Construction

[0036] see figure 1 , through the workstation 7, the data of the field operation station and the data collected outside the sensor 1 are converted through the sensor 1 to obtain the online parameter A, which is stored on the server 2, and the online parameter A obtained through the simulator 3 is performed in the database. Real-time processing is transmitted to component a, and component b uses DDE, DAO, Jet engine and other technologies to organize and store online data, and provide the data to the soft sensor agent. exist figure 1 Among them, code 51 is IDSS model online display, 52 is online display, 4 is component a, 5 is component b, A is online parameter, B is DDE, DAO and Jet engine. DDE Server is a dedicated DDE Server for RS Works of ABB Company (the full name of DDE is Dynamic Data Exchange).

[0037] The soft sensor body includes the following seven modules (structure and function).

[0038] 1) Data online acquisition module

[0039] During the copper matte blow...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/20G06F19/00
Inventor 姚俊峰
Owner XIAMEN UNIV
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