基于BP神经的PID控制卸船机防撞系统在港口散货装卸领域的应用与研究  

Application and Research of BP Neural-based PID Control Collision Prevention System for Unloading Cranes in Port Bulk Handling Field

作　　者：匡磊 朱淑勇 秦利敏 Lei Kuang;Shuyong Zhu;Limin Qin(Guangdong Datang International Leizhou Power Generation Co.,Ltd.,Zhanjiang,Guangdong 524255)

机构地区：[1]广东大唐国际雷州发电有限责任公司,广东湛江524255

出　　处：《新疆钢铁》2025年第1期111-113,共3页Xinjiang Iron and Steel

摘　　要：本文旨在探讨基于BP神经网络的PID控制卸船机防撞系统在港口散货装卸领域的应用与研究。通过分析传统卸船机防撞技术的局限性,本文提出了一种创新的防撞系统,该系统融合了BP神经网络与PID控制算法,实现了对卸船机运行状态的实时监测与精确控制,有效提升了港口散货装卸作业的安全性和效率。本文详细阐述了系统的架构、关键技术、实验设计、结果分析以及实际应用效果,为港口散货装卸作业的智能化管理提供了有力支持。This paper aims to explore the application and research of a PID-controlled anti-collision system for ship unloaders based on BP neural networks in the field of bulk cargo handling in ports.By analyzing the limitations of traditional anti-collision technologies for ship unloaders,this paper proposes an innovative anti-collision system that integrates BP neural networks and PID control algorithms.The system realizes real-time monitoring and precise control of the operating status of ship unloaders,effectively enhancing the safety and efficiency of bulk cargo handling operations in ports.This paper details the system architecture,key technologies,experimental design,result analysis,and practical application effects,providing strong support for the intelligent management of bulk cargo handling operations in ports.

关 键 词：BP神经网络 PID控制 卸船机防撞系统 港口散货装卸 智能化管理 

分 类 号：U653.92[交通运输工程—港口、海岸及近海工程]