A method for optimizing the operating mode of a volatile kiln by combining least square support vector machine regression and particle swarm optimization

Abstract

In order to solve the problem that it is hard to obtain the optimized operating mode of the volatile kiln, which leads to the fluctuation of the economic index in the production process and the instability of the operation state, the invention provides a method for optimizing the operating mode of the volatile kiln by combining the least square support vector machine regression and the particle swarm optimization. The invention utilizes a multi-objective optimization method based on a particle swarm algorithm to find an optimal operation mode of a volatile kiln in order to optimize product quality, energy consumption and harmful gas emission process indexes of the volatile kiln. Aiming at the problem that the fitness value cannot be obtained in the process of optimization, according to theinput conditions and current state of the volatile kiln, the evaluation model of the working condition of the volatile kiln based on the least square support vector machine regression is establishedto predict the process index value of the volatile kiln, so as to obtain the corresponding fitness value. The method provided by the invention is favorable for improving the energy saving and emissionreduction level in the production process of the volatile kiln.

Description

technical field [0001] The invention relates to a method for optimizing the operating mode of a volatilization kiln, in particular to a method for optimizing the operating mode of a volatilization kiln combining least square support vector machine regression (LSSVM) and particle swarm optimization. Background technique [0002] Volatilization kiln is widely used in metallurgy, building materials, chemical industry and papermaking and other fields. The process of volatilization kiln processing materials is a typical thermal reaction process. Since the main part of the kiln is rotating, the detection instruments are usually installed at both ends of the kiln, resulting in critical Process parameters cannot be measured accurately and in time, and it is difficult to quantitatively describe the thermal conditions in the kiln. At present, the production process of the volatilization kiln mostly relies on the experience of operators to manually adjust the kiln speed, blast volume a...

AI Technical Summary

Problems solved by technology

[0004] In the process of optimizing the operation mode of the volatilization kiln, it is usually evaluated according to the product quality, energy consumption, and harmful gas emission process indicators. This is actually a multi-objective optimization decision-making problem. Aspects of reports

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