Abstract

The original mechanism model of dust suppression efficiency for dry fog dust suppression could not guide the actual process. In order to accurately predict the dust suppression efficiency in the process, a new mechanism model was established by my analysis of the process. But there were some factors that I could not establish the model. So a hybrid model combining mechanism model and support vector machine (SVM) was proposed. Using the data of dry fog dust suppression oval process, the hybrid model was simulated. The simulation results show that the hybrid model can accurately predict the dry fog dust suppression.

Highlights

  • With the development of dry fog dust suppression system, it has become a mature and effective dust suppression technology, which is widely used to control the dust of raw materials during the loading and unloading process of ore and rock crushing, screening, transportation and other workshops

  • In order to further improve the efficiency of dry fog dust suppression system, it is necessary to study the model of dry fog dust suppression process

  • In order to solve the problem of linear indivisibility, kernel function is introduced to replace the point product in support vector machine (SVM) to realize the mapping from input space to highdimensional space, in which linear discriminant function can be used to classify samples

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Summary

Introduction

With the development of dry fog dust suppression system, it has become a mature and effective dust suppression technology, which is widely used to control the dust of raw materials during the loading and unloading process of ore and rock crushing, screening, transportation and other workshops. In order to further improve the efficiency of dry fog dust suppression system, it is necessary to study the model of dry fog dust suppression process. Due to the characteristics of dry fog dust suppression process, complex principle and many influencing factors, it is difficult to accurately predict the dry fog dust efficiency. In 2001, Zhang Xiaoyan designed the dust suppression system, and put forward the mathematical model of the relationship between dust suppression efficiency and atomization effect [1]. Through the mechanism analysis of dry fog dust suppression.

Mechanism model of dry fog dust suppression process
Hybrid model of dry fog dust suppression process
Parameter selection based on SVM hybrid model
Simulation verification
Conclusion

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