The Application of AI Algorithms in the Intelligence of Warehousing Equipment
There are still problems with low accuracy in fault diagnosis and low efficiency in equipment scheduling in the process of intelligent storage equipment.This article proposes to use the Naive Bayes algorithm in AI artificial intelligence algorithms to collect operational data of storage equipment,and construct an efficient fault diagnosis model through feature extraction and probability calculation to improve the accuracy of fault detection.At the same time,based on equipment usage and historical data,the optimal equipment scheduling plan has been developed to improve the efficiency of warehousing operations.The research results indicate that using Naive Bayes algorithm can significantly enhance the intelligent diagnosis and scheduling capabilities of warehouse equipment,and provide more intelligent and efficient solutions for warehouse management.
万方数据
维普
