Optimization System of Steel Plate Cutting Path Based 
on Data Analysis

Beining Zhang; Yongkang Deng; Kai Chen; Qinglang Liu

doi:10.70711/aitr.v2i7.5982

Optimization System of Steel Plate Cutting Path Based on Data Analysis

Beining Zhang, Yongkang Deng, Kai Chen, Qinglang Liu

Abstract

Steel plate cutting is a crucial link in the mold pricing industry, and studying its shortest cutting path can improve actual production
efficiency and save a lot of costs. By establishing a mathematical model of the geometric relationship between closed circuits in the cutting
layout, the cutting connection method that minimizes the clearance between different closed circuits is identified to determine the optimal
path. This article uses an improved Dijkstra algorithm to optimize the cutting path. Firstly, all possible cutting starting points are sorted and
selected to determine the optimal starting position. Then, the Dijkstra algorithm is used to calculate the shortest path from the current cutting
point to all other uncut points, in order to determine the next cutting point. By repeating this process until all inner contours are cut, an efficient cutting path is formed. The experimental results show that the improved Dijkstra path optimization method proposed in this article not
only significantly improves cutting efficiency compared to cutting methods based on ant colony algorithm, but also significantly increases material utilization. The overall cutting efficiency has increased by 16.0%, and the material utilization rate has reached 95%. This study not only
provides a feasible solution for the steel plate cutting industry, but also serves as a reference for other similar manufacturing industries.

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DOI: http://dx.doi.org/10.70711/aitr.v2i7.5982

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