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基于智能专家系统的超高强汽车板拆带全自动生产线开发 被引量:1

Development of Ultra-high Strength Automobile Panel Strip Removal Fully Automatic Production Line Based on Intelligent Expert System
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摘要 为实现超高强汽车板拆带生产线的全自动化,以镀锌产线入口的钢卷拆带作为控制对象,通过研究生产工艺,设计了一种全自动高强汽车板拆带生产线。详细阐述生产线的组成和工作流程、电气控制系统和软件系统设计方法。针对现场的复杂性和多变性,对生产过程中可能出现的各种故障建立智能诊断专家系统;采用贝叶斯判别方法进行智能诊断并报警。实践表明:所设计的生产线的平均拆带时间比传统人工平均拆带时间减小了3.3 min,提高了生产效率,具有较高的实际应用价值;现场安全记录显示该智能诊断专家系统运行正常,报警无误差,为及时处理设备故障、安全生产提供了保障。 In order to realize the full automation of the ultra-high strength automobile panel strip removal production line, a full automatic high strength automobile panel strip removal production line was designed by taking the strip stripping of steel coil at the entrance of galvanizing production line as the control object and studying the production process.The composition and working flow of production line, the design methods of the electrical control system and software system were described in detail.In view of the complexity and variability of the site, the intelligent diagnosis expert system was established for various faults those may appeared in the production process;Bayesian discriminant method was used for intelligent diagnosis and alarm.The practice shows that the average stripping time of the designed production line is 3.3 min less than that of the traditional manual stripping time, which improves the production efficiency and has high practical application value;the on-site safety record shows that the intelligent diagnosis expert system operates normally and has no error in alarm, which provides guarantee for timely handling of equipment faults and safe production.
作者 高丹 张会华 张宏 GAO Dan;ZHANG Huihua;ZHANG Hong(􀆰Department of Automation Engineering,Tangshan Polytechnic College,Tangshan Hebei 063299,China;􀆰HBIS Group Tangsteel Company,Tangshan Hebei 063000,China)
出处 《机床与液压》 北大核心 2021年第10期103-107,共5页 Machine Tool & Hydraulics
基金 2020年唐山市应用基础研究计划项目(20130229b) 2019年唐山市科学技术研究与发展计划〈第七批〉项目(19130225g)。
关键词 拆带 全自动生产线 智能专家系统 Strip removal Fully automatic production line Intelligent expert system
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  • 1姜佩东.液压与气动技术[M].北京:高等教育出版社,2002.
  • 2罗庚兴,宁玉珊.基于PLC的步进电动机控制[J].机电工程技术,2007,36(10):66-67. 被引量:8
  • 3Song Y X,Yang H J, Lv H B. Intelligent control for a robot belt srinding system ( J ]. Control Systems Technology, IEEE Transactions on ,2013,21 ( 3 ) :716 - 724.
  • 4Sun Y Q, Giblin J D, Kazerounian K. Accurate robotic belt grinding of workpieces with complex geometries using relative calibration techniques [ J ]. Robotics and Computer-Integrat- ed Manufacturing,2009,25 ( 1 ) :204 - 210.
  • 5Volkov D I,Koryazhkin A A. Adaptive belt grinding of gas-turbine blades [ J]. Russian Engineering Research ,2014,34 (1) :37 -40.
  • 6Song Y X, Liang W, Yang Y. A method for grinding removal control of a robot belt grinding system [ J ]. Journal of Intel- ligent Manufactu- ring ,2012,23 ( 5 ) : 1903 - 1913.
  • 7Massa F, Lallemand B, Tison T. Fuzzy multiobjective optimi- zation of mechanical structures [ J ]. Computer Methods in Applied Mechanics and Engineering, 2009, 198 ( 5 - 8 ) : 631 - 643.
  • 8Wen H X, Jun L. The structural analysis and rapid optimiza- tion for high-speed spindle box [ J ]. Advanced Materials Research, 2011,199 - 200 : 1269 - 1272.
  • 9SIEMENS公司.s7-200可编程序控制器系统手册[z].2008.
  • 10张铁异,何国金,黄振峰.基于PLC控制的混合型气动机械手的设计与实现[J].液压与气动,2008,32(9):6-8. 被引量:40

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