郭聖煜 Knowledge discovery of correlations between unsafe behaviors within construction accidents

我校金沙8888js官方郭聖煜老师在T2级别期刊——《Engineering Construction and Architectural Management》上发表题为“Knowledge discovery of correlations between unsafe behaviors within construction accidents”。论文第一作者郭聖煜为金沙8888js官方副教授。

Abstract /摘要：

The period vehicle routing problem (PVRP) is an important extension of the vehicle routing problem, in which customers have a certain frequency of service. This paper studies a real-time period vehicle routing system: Daniudi gas field sewage recycling, which differs from the classic PVRP because the frequency of customer service is uncertain. A "prediction + two-stage" strategy is proposed to solve the problem. First, the integrated model predicts customers' sewage data generated that day to calculate the warning line so that customers who reach the warning line can be served on that day. Then, because the customer's sewage production changes in real time, a two-stage “pre-optimization + real-time optimization” model is proposed for each day in the period. The two-stage “pre-optimization + real-time optimization” model uses differential evolution (DE) algorithm based on niche clearing to plan the sewage recycling route. The computational results indicate that the proposed technique can reduce actual sewage recycling costs by 17.3%. By performing comparison experiments, we find that the five algorithms examined (i.e., jDE-niche, jDE, DE, GA, and ACO) reduce costs by 17.3%, 12.00%, 10.70%, 9.02% and 8.18%, respectively. Furthermore, the fifteen combined prediction models confirm the validity and effectiveness of our proposed "prediction+two-stage" strategy and jDE-niche algorithm.

论文信息;

Title/题目:

Knowledge discovery of correlations between unsafe behaviors within construction accidents

Authors/作者:

Shengyu Guo;Yujia Zhao;Yuqiu Luoren;Kongzheng Liang;Bing Tang

Key Words /关键词：

Unsafe behavior；Accident prevention；Knowledge discovery；Association rule

Indexed by /核心评价：

EI;WAJCI; SSCI; Scopus; SCI; INSPEC;

DOI：10.1108/ECAM-09-2020-0745

全文链接：https://www.emerald.com/insight/content/doi/10.1108/ECAM-09-2020-0745/full/html