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AGV小车电池诊断系统的设计与实现
引用本文:王冠华,蔡荣忠,唐敬方,徐彩珠.AGV小车电池诊断系统的设计与实现[J].烟草科技,2022,55(5):96-101.
作者姓名:王冠华  蔡荣忠  唐敬方  徐彩珠
作者单位:红云红河烟草(集团)有限责任公司会泽卷烟厂,云南省曲靖市会泽县金钟镇东郊 654200
基金项目:红云红河烟草(集团)有限责任公司科技项目“AGV小车电池动力快速诊断系统的研制”HYHH2018XX02
摘    要:为解决AGV小车蓄电池组维护保养耗时长、效率低等问题,采用A/D转换、ModBus车辆定位、ZigBee无线物联网络传输以及计算机编程等技术,设计了一种AGV小车电池诊断系统。该系统由计算机、无线物联网络以及车载数据采集装置组成,系统架构由下至上分为采集层、网络传输层和应用层,采集层用于提取蓄电池组每一个单元格的实时电压,网络传输层用于传输管理指令及反馈数据,应用层采用令牌调度算法进行模块化编程,从而实现对AGV小车蓄电池组在线监控与远程诊断。以红云红河烟草(集团)有限责任公司会泽卷烟厂辅料高架库的5台AGV小车为对象进行测试,结果表明:系统可以在线实时监测AGV小车蓄电池组的运行状态,精准定位蓄电池的故障单元,故障诊断率与定位精准率均达到100%。该技术可为提升AGV小车动力装置监控水平提供支持。 

关 键 词:AGV小车    蓄电池组    故障诊断    A/D转换    车辆定位    无线物联网络
收稿时间:2021-12-15

Design and implementation of diagnosis system for batteries in AGV
WANG Guanhua,CAI Rongzhong,TANG Jingfang,XU Caizhu.Design and implementation of diagnosis system for batteries in AGV[J].Tobacco Science & Technology,2022,55(5):96-101.
Authors:WANG Guanhua  CAI Rongzhong  TANG Jingfang  XU Caizhu
Affiliation:Huize Cigarette Factory of HongyunHonghe Tobacco(Group)Co., Ltd., Qujing 654200, Yunnan, China
Abstract:In order to promote the maintenance efficiency of the storage battery in automatic guided vehicle (AGV), a battery diagnosis system was designed by adopting A/D conversion, ModBus vehicle positioning, network transmission via ZigBee wireless Internet of things and computer programming technologies. The system is composed of a computer, a wireless Internet of things and a mobile data acquisition unit. The system is divided into a data acquisition level, a transmission level and an application level. The data acquisition level is used to extract the real-time voltage of each battery cell in the storage battery group, the transmission level is used to transmit management instructions and data feedback, and the application level is responsible for modular programming with token scheduling algorithm, to realize the online monitoring and remote diagnosis of storage battery of AGV. Five AGVs in the high-bay material warehouse of the Huize Cigarette Factory of HongyunHonghe Tobacco (Group) Limited Corporation were tested, the results showed that the system could online monitor the running state of storage battery in AGV real-timely, locate the fault unit in the battery group accurately with 100% accuracy. This technology provides a support for promoting the monitoring level of power unit in AGV. 
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