Early Warning System for Load Distribution in Automated Warehouse Based on Seismic Safety

Abstract

As an integral part of the storage system in automated warehouse, the structural behaviors of steel rack structures have been extensively studied. However, little research has been conducted on the seismic performance evaluation of racks under different load distributions and also a warning system for safety evaluation of the load distribution that might cause unfavorable seismic performance. The objective of this study is to develop a method of evaluating seismic safety and an early warning system of over-limit load distribution for racks with spine bracings. The genetic algorithm was employed to seek and identify the influence of load distribution on the seismic performance of racks with spine bracing. Then, a formula for safety evaluation for racks with spine bracing was derived and its reliability was validated. An early warning system for over-limit load distribution was established and codified in a software package. Different safety statuses using a color system like Green, Red, and Yellow were employed in the software package as an indicator of the load distribution level of racks. Finally, the system developed was applied to the actual racks in an automated warehouse in Nanjing to demonstrate its applicability and reliability.This work was sponsored by the Natural Science Foundation of Jiangsu Province (BK20191268); and the Project of Central Government for Local Science and Technology Development of Tibetan Autonomous Region (XZ202201YD0032C)

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