AI人工智能算法在仓储设备智能化中的应用.pdfVIP

2024年软   件2024

第45卷 第10期SOFTWAREVol. 45, No.10

设计研究与应用

AI人工智能算法在仓储设备智能化中的应用

景奕昕

（武汉攀升鼎承科技有限公司，湖北武汉430000）

摘 要：仓储设备智能化进程中存在着故障诊断准确率不高和设备调度效率低下的问题。本文针对这些问题，提出利用

AI人工智能算法中的朴素贝叶斯算法，采集仓储设备的运行数据，并通过特征提取和概率计算构建一个高效的故障诊断模型，

以提升故障检测的准确性。同时，结合设备使用情况和历史数据制定了最优设备调度方案，旨在提高仓储作业的效率。研究结

果表明，采用朴素贝叶斯算法能够显著增强仓储设备的智能诊断和调度能力，为仓储管理提供更加智能和高效的解决方案。

关键词：人工智能；仓储设备；智能化管理

中图分类号：TP18 文献标识码：A DOI：10.3969/j.issn.1003-6970.2024.10.033

本文著录格式：景奕昕.AI人工智能算法在仓储设备智能化中的应用[J].软件,2024,45(10):109-111

TheApplicationofAIAlgorithmsintheIntelligenceofWarehousingEquipment

JINGYixin

(WuhanIPASONTechnologyCo.,Ltd.,WuhanHubei430000)

【Abstract】：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.

【Keywords】：artificial intelligence;storage equipment;intelligent management

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