1. 中国兵器工业规划研究院, 北京 100070
2. 甘肃银光化学工业集团有限公司, 甘肃 白银 730900
3. 北明软件有限公司, 北京 100101
*邮箱: 272673588@qq.com
收稿:2023-10-10,
网络出版:2024-01-03,
纸质出版:2023-12-08
移动端阅览
何爱军, 刘银莲, 于靖, 等. 智能物流装备在火炸药行业黑灯工厂中的应用[J]. 兵工学报, 2023,44(S1):196-208.
Aijun HE, Yinlian LIU, Jing YU, et al. Application of Intelligent Logistics Equipment in Dark Factory of Explosive Production[J]. Acta Armamentarii, 2023, 44(S1): 196-208.
何爱军, 刘银莲, 于靖, 等. 智能物流装备在火炸药行业黑灯工厂中的应用[J]. 兵工学报, 2023,44(S1):196-208. DOI: 10.12382/bgxb.2023.1000.
Aijun HE, Yinlian LIU, Jing YU, et al. Application of Intelligent Logistics Equipment in Dark Factory of Explosive Production[J]. Acta Armamentarii, 2023, 44(S1): 196-208. DOI: 10.12382/bgxb.2023.1000.
采用机器代替人工
实现自动化、智能化的物流是我国的火炸药工厂实现黑灯工厂的必经之路。火炸药黑灯工厂包括生产设备、检测设备、物流设备、管理系统四大类。黑灯工厂的物流主要起物资管理、出入库管理、自动运输作用
须满足自动化数据采集、出入库、调度、数字化管理等要求。从原材料入场至成品出厂
火炸药黑灯工厂的物流按功能归纳为装卸、运输、贮存三类
贮存类建议采用自动化立体库、货柜等
运输类建议采用自动导引车、有轨导引车等
装卸类建议采用机器人、无人叉车等。在不具备5G专网基础的情况下提出了红外无线通信和二维码通信的解决方案。研究结果表明
在满足保密通讯、防爆的基本要求条件下
根据产线的特点
从贮存、运输、装卸等环节选择或定制合适的物流装备
可逐步构建符合火炸药生产特殊要求的黑灯工厂。
The use of machines to replace people and achieve automated and intelligent logistics is a necessary path for the construction of dark factories in the current explosives industry. The equipment in explosive Dark Factory consist of four categories
manufacturing equipment
detection equipment
logistics equipment and management system. The main function of logistics is inventory management
inbound and outbound management
and automatic transportation. The logistics system must meet the requirements of automated data collection
inbound and outbound management
scheduling
and digital management. From raw materials to final products
the logistics of explosives Dark Factory can be classified into three categories based on their basic functions: loading and unloading
transportation
and storage. For storage
it is recommended to use automated warehouses
automated containers
etc. For transportation
it is recommended to use automatic guided vehicles
rail guided vehicles
etc. For loading and unloading
it is recommended to use robot arms
unmanned forklifts
etc. A solution for infrared wireless communication and QR code communication was proposed without the foundation of 5G network. The research results indicate that
under the basic requirements of confidential communication and explosion-proof
selecting or customizing appropriate logistics equipment from storage
transportation
loading and unloading
etc. according to the characteristics of the production line
can gradually build a Dark Factory that meets the special requirements of explosive production.
TAMÁS B , ANTONELLA P F . Industry 4.0-impact on intelligent logistics and manufacturing [EB/OL ] . UK: IntechOpen , 2020 ( 2020-03-20 )[ 2023-10-10 ] . https://www.intechopen.com/books/7529 https://www.intechopen.com/books/7529 https://www.intechopen.com/books/7529.
杜品圣 . 智能工厂——德国推进工业4.0战略第一步(上) [J ] . 自动化博览 , 2014 ( 1 ): 22 - 25 .
DU P S . Smart factory—the first step of germany's industry 4.0 strategy(Part 1) [J ] . Automation Panorama , 2014 ( 1 ): 22 - 25 . (in Chinese)
杜品圣 . 智能工厂——德国推进工业4.0战略的第一步(下) [J ] . 自动化博览 , 2014 ( 2 ): 50 - 55 .
DU P S . Smart factory—the first step of germany's industry 4.0 strategy (Part 2) [J ] . Automation Panorama , 2014 ( 2 ): 50 - 55 . (in Chinese)
党延辉 , 葛曙光 , 甘磊 , 等 . 工业4.0的发展趋势及其对我国制造业发展的影响 [J ] . 河南科技 , 2019 ( 5 ): 39 - 41 .
DANG Y H , GE S G , GAN L , et al. The development Trend of industry 4.0 and its impact on the development of China's manufacturing industry [J ] . Henan Science and Technology , 2019 ( 5 ): 39 - 41 . (in Chinese)
DOSSOU P E , TORREGROSSA P , MARTINEZ T . Industry 4.0 concepts and lean manufacturing implementation for optimizing a company logistics flows [J ] . Procedia Computer Science , 2022 , 200(C) : 358 - 367 .
黄珊 , 李晓红 . 国外典型军工企业智能工厂建设案例 [J ] . 国防制造技术 , 2017 ( 4 ): 4 - 8 .
HUANG S , LI X H . A case study of intelligent factory construction of typical foreign military enterprises [J ] . Defense Manufacturing Technology , 2017 ( 4 ): 4 - 8 . (in Chinese)
李晓红 , 高彬彬 , 祁萌 , 等 . 智能制造技术发展及其国外国防领域研究应用现状 [J ] . 国防制造技术 , 2015 ( 4 ): 9 - 12 .
LI X H , GAO B B , QI M , et al. Development and application of intelligent manufacturing technology in the field of national defense abroad [J ] . Defense Manufacturing Technology , 2015 ( 4 ): 9 - 12 . (in Chinese)
雷林 , 伍凌川 , 张博 , 等 . 国外战斗部装药生产装备现状及发展趋势 [J ] . 兵工自动化 , 2015 , 34 ( 8 ): 32 - 36 .
LEI L , WU L C , ZHANG B , et al. Current situation and development trend of charging equipment for warhead in abroad [J ] . Ordnance Industry Automation , 2015 , 34 ( 8 ): 32 - 36 . (in Chinese)
崔晓文 . 境外智慧工厂发展研究 [J ] . 竞争情报 , 2014 ( 3 ): 38 - 49 .
CUI X W . Research on the development of overseas smart factory [J ] . Competitive Intelligence , 2014 ( 3 ): 38 - 49 . (in Chinese)
ELHUSSEINY H M , CRISPIM J . A review of Industry 4.0 maturity models: adoption of SMEs in the manufacturing and logistics sectors [J ] . Procedia Computer Science , 2023 ( 219 ): 236 - 243 .
NICOLA B , SERENA F . Digital twin and human factors in manufacturing and logistics systems: state of the art and future research directions [J ] . IFAC Papers On Line , 2022 , 55 ( 10 ): 1893 - 1898 .
焦洪硕 , 鲁建厦 . 智能工厂及其关键技术研究现状综述 [J ] . 机电工程 , 2018 , 35 ( 12 ): 1249 - 1258 .
JIAO H S , LU J S . Summary of smart factory and its key technologies [J ] . Journal of Mechanical & Electrical Engineering , 2018 , 35 ( 12 ): 1249 - 1258 . (in Chinese)
《中国制造2025》重点领域技术路线图 [M ] . 北京 : 工业和信息化部 , 2015 .
Technical roadmap for key fields of made in china 2025 [M ] . Beijing : Ministry of Industry and Information Technology , 2015 . (in Chinese)
JÖRN L . Digital era framework [EB/OL ] . Bad Berleburg , German: 2019[2023-10-10 ] . https://joernlengsfeld.com/files/digital-era-framework-en.pdf https://joernlengsfeld.com/files/digital-era-framework-en.pdf https://joernlengsfeld.com/files/digital-era-framework-en.pdf.
杨春立 . 我国智能工厂发展趋势分析 [J ] . 中国工业评论 , 2016 ( 1 ): 56 - 63 .
YANG C L . Analysis on the development trend of intelligent factory in china [J ] . China Industry & Information Technology , 2016 ( 1 ): 56 - 63 . (in Chinese)
彭瑜 . 智能工厂 , 数字化工厂及中国制造 [J ] . 自动化博览 , 2015 ( 1 ): 28 - 31 .
PENG Y . Smart factory, digital factory and made in china [J ] . Automation Panorama , 2015 ( 1 ): 28 - 31 . (in Chinese)
张益 , 冯毅萍 , 荣冈 . 智慧工厂的参考模型与关键技术 [J ] . 计算机集成制造系统 , 2016 , 22 ( 1 ): 1 - 12 .
ZHANG Y , FENG Y P , RONG G . Reference model and key technologies of smart factory [J ] . Computer Integrated Manufacturing Systems , 2016 , 22 ( 1 ): 1 - 12 . (in Chinese)
张署 . 智能制造及其实现途径 [J ] . 金属加工 , 2016 ( 17 ): 1 - 3 .
ZHANG S . Intelligent manufacturing and its realization [J ] . Metal Working(Metal Cutting) , 2016 ( 17 ): 1 - 3 . (in Chinese)
吕佑龙 , 张杰 . 基于大数据的智慧工厂的技术框架 [J ] . 计算机集成制造系统 , 2016 , 22 ( 11 ): 2691 - 2697 .
LÜ Y L , ZHANG J . Big-data-based technical framework of smart factory [J ] . Computer Integrated Manufacturing Systems , 2016 , 22 ( 11 ): 2691 - 2697 . (in Chinese)
唐毅 , 常建 , 岳明明 , 等 . 基于大数据的智慧工厂技术框架 [J ] . 通信电源技术 , 2019 , 36 ( 3 ): 183 - 185 .
TANG Y , CHANG J , YUE M M , et al. Intelligent factory technology framework based on big data [J ] . Telecom Power Technology , 2019 , 36 ( 3 ): 183 - 185 . (in Chinese)
刘勇 , 张亮 . 发展智能制造, 促进兵器装备集团制造业转型升级-兵器装备集团智能制造技术与高端装备产业发展思考 [J ] . 兵工自动化 , 2017 , 36 ( 1 ): 1 - 6 .
LIU Y , ZHANG L . Developing intelligent manufacturing, promoting transformation and upgrading of manufacturing industries:thinking of intelligent manufacturing technology and advanced equipment industry development of china south industries group corporation [J ] . Ordnance Industry Automation , 2017 , 36 ( 1 ): 1 - 6 . (in Chinese)
夏建才 , 刘丽梅 . 火工品制造 [M ] . 北京 : 北京理工大学出版社 , 2009 .
XIA J C , LIU L M . Initiating explosive manufacturing [M ] . Beijing : Beijing Institute of Technology Press , 2009 . (in Chinese)
朱强 , 刘应成 , 肖勇 , 等 . 弹药与民爆通用生产技术与装备现状 [J ] . 兵工自动化 , 2019 , 38 ( 8 ): 33 - 36 .
ZHU Q , LIU Y C , XIAO Y , et al. General production technology and equipment current situation of ammunition and civil explosion [J ] . Ordnance Iindustry Automation , 2019 , 38 ( 8 ): 33 - 36 . (in Chinese)
谢颖 , 王政理 . 军工电子企业智能工厂规划方案浅析 [J ] . 电子世界 , 2018 ( 16 ): 5 - 7 .
XIE Y , WANG Z L . Analysis of intelligent factory planning for military electronic enterprises [J ] . Electronics World , 2018 ( 16 ): 5 - 7 . (in Chinese)
刘洋 , 李世其 , 彭涛 . 细长腔体检测机器人设计研究 [J ] . 兵工学报 , 2010 , 31 ( 2 ): 268 - 272 . 对现有人力不可达腔体的几种机器人检测方式进行比较,针对安装有精密零件的某航天器腔对现有人力不可达腔体的几种机器人检测方式进行比较,针对安装有精密零件的某航天器腔体设计了一台检测机器人XN-600-3. 该机器人基于柱坐标系设计,视觉系统固定在一条细长机械臂末端,由两自由度关节驱动深入腔内进行检测。该机器人的大部分功能集中在机座内,即机械臂的全部驱动件移至机座内,悬臂部分负载最轻刚度最高,执行系统拥有最优的动态性能。试验证明该机器人具有长行程、高刚度、大回转角、小回转半径的优点,检测过程中视觉系统振幅最大为0.6 mm. 通过机械臂末端的高精度摄像机捕获图像,该机器人可用于腔内装配尺寸或焊接质量等检测项目。
LIU Y , LI S Q , PENG T . Design of detection robot for slim cavity [J ] . Acta Armamentarii , 2010 , 31 ( 2 ): 268 - 272 . (in Chinese) After comparing several methods to detect the cavity unreachable for human being
邓华林 . 民爆行业自动化设备应用的安全问题探讨 [J ] . 装备制造技术 , 2020 ( 6 ): 240 - 242 .
DENG H L . Discussion on safety problems of automatic equipment application in civil explosive industry [J ] . Equipment Manufacturing Technology , 2020 ( 6 ): 240 - 242 . (in Chinese)
朱智鹏 . 智能工厂生产物流优化研究 [D ] . 绵阳 : 西南科技大学 , 2020 . DOI: 10.27415/d.cnki.gxngc.2020.000397 https://dx.doi.org/10.27415/d.cnki.gxngc.2020.000397 .
ZHU Z P . Research on optimization of production logistics in smart factory [D ] . Mianyang : Southwest University of Science and Technology , 2020 .DOI: 10.27415/d.cnki.gxngc.2020.000397 https://dx.doi.org/10.27415/d.cnki.gxngc.2020.000397 . (in Chinese)
王斌 . 智能物流系统构成与技术应用 [M ] . 北京 : 机械工业出版社 , 2022 .
WANG B . Intelligent logistics system composition and technical application [M ] . Beijing : China Machine Press , 2022 . (in Chinese)
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