Emulsion explosive quality prediction and optimization method

Abstract

The invention relates to an emulsion explosive quality prediction and optimization method. The method comprises the following steps: acquiring historical data of an emulsion explosive, preprocessing the historical data, performing correlation analysis on process parameters of an emulsion explosive production process and the quality of the emulsion explosive, and selecting the process parameters; establishing a random forest emulsion explosive quality prediction model, and designing a queue competition algorithm to optimize random forest model parameters; on the basis of the established random forest emulsion explosive quality prediction model, taking maximizing the emulsion explosive quality index brisance and detonation velocity as optimization objectives, taking the technological parameter operation range as a constraint condition, establishing an emulsion explosive quality double-objective optimization model, designing a multi-objective queue competition algorithm for solving, and solving to obtain the optimal process operation parameters under the condition of maximizing the brisance and the detonation velocity.

Description

Technical field [0001] The present invention relates to the field of emulsifying explosives, and more particularly to emulsified explosives quality predictions and optimization methods. Background technique [0002] In recent years, the yield of emulsification explosives is increasing. Due to the lack of online measuring instruments of emulsified explosives quality indicators, the detection method of explosives is mainly taken by sample detection, this method is too long, which is not conducive to controlling the quality of the product. The number of unqualified quality of emulsified explosives is also increasing, so it is urgent to establish an emulsified explosive quality online prediction model, and achieve online prediction of softening explosives. Once the forecast results show that the product quality is unqualified, the emulsified explosive production process can be adjusted. Process parameters, improve the qualification rate of emulsified explosive product products, and e...

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Problems solved by technology

[0002] In recent years, the output of emulsion explosives has been increasing. Due to the lack of online measuring instruments for the quality indicators of emulsion explosives, the detection method for the quality of explosives is mainly to adopt the sampling detection method. The sampling period of this method is too long, which is not conducive to controlling the quality of the product. The number of unqualified emulsion explosive products is also increasing. Therefore, it is urgent to establish an online prediction model for the quality of emulsion explosives to realize online prediction of softening explosive quality. Once the prediction results show that the product quality is unqualified, the production process of emulsion explosives can be adjusted immediately. Process parameters to improve the pass rate of emulsion explosive product quality. At the same time, emulsion explosive enterprises rely on the experience of process engineers to adjust process parameters, and there are certain blind spots. Therefore, on the basis of establishing a quality prediction model for emulsion explosives, Design an intelligent optimization algorithm to solve the optimal process operation parameter scheme, and the emulsion explosives enterprise combines its own experience and the optimal process operation parameter scheme to adjust the process parameters in the production process of the emulsion explosive, improve the quality of the emulsion explosive and thus improve the core competitiveness of the emulsion explosive enterprise

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