Intelligent Quality Evaluation System for Vertical Shaft Blasting and its Application

Abstract

Blasting quality is a key factor in determining the productivity and total cost of the shaft blasting excavation construction, so it is of great engineering and theoretical importance to evaluate blasting quality rationally. The existing evaluation methods rely more on previous experience and the knowledge level of technicians, which are more subjective and cannot be judged by quantitative or unified standards, so the evaluation results have limitations. This paper proposes the Analytic Hierarchy Process (AHP) based on Particle Swarm Optimization (PSO) to obtain the weights of each index for evaluating the blasting quality of shafts, then combine expert knowledge, field engineering experience and statistical data for a comprehensive analysis to determine the quantitative interval of blasting quality evaluation index levels and construct a blasting quality evaluation index system, which makes the evaluation indexes more accurate and more in line with reality. The PSO-AHP combined with fuzzy comprehensive evaluation technique has constructed a blasting quality evaluation matrix more in line with the engineering reality and established a shaft blasting quality evaluation model adapted to different geological conditions. Finally, the established blasting quality evaluation model is combined with computer programming and artificial intelligence technology to develop a visualized shaft blasting quality intelligent evaluation system, which meets the practical needs of front-line operators in the field to evaluate the blasting quality objectively and reasonably, and achieves the accuracy, objectivity and intelligence of shaft blasting quality evaluation.

Keywords

• Particle swarm optimization (PSO)
• analytic hierarchy process (AHP)
• fuzzy mathematics
• shaft blasting
• result assessment