Cooperative Manufacturing and Assembling Supported by CRQAOVTM Agent in Open Environment
-
摘要: 针对开放式环境下松耦合程度和可靠性不够的协作模式的缺点，以及协同制造装配问题出现的"结构失配"和"工艺革新"的特性，提出CRQAOVTMAgent模型.模型从服务参数（属性）松耦合程度和服务执行结果确定性两个方面区别定义普通（O，Ordinary）接口、转换（V, conVersion）接口、多参数适配器（T, multiparameter adapTor）接口和概念实例调制器（M, concept instance Modulator）接口，并在此基础上提供包括普通协作、转换性协作、适配性协作和调制性协作的混合协作模式，且在处方的基础上引入量化合成，以更加灵活的方式处理"结构失配"和"工艺革新"问题.同时模型引入合同的约束，保证自组织协作是可信的.通过验证并与RPACTI Agent模型比较可知，该模型的协作机制既具有很高的成功率和效率，又具有很高的灵活性，更加适合开放环境下的协同制造装配.
-
关键词:
- CRQAOVTM Agent /
- 协同制造装配 /
- 合同约束 /
- 多Agent系统
Abstract: For the shortcomings of the cooperation mode of low loose coupling degree and low reliability in open environment, and for the "mismatched-structured" and "technics-innovation" characteristics of cooperative manufacturing and assembling problem, a CRQAOVTM Agent model is presented. Four cooperative interfaces, called Ordinary, conVersion, adapTor and Modulator interfaces, are defined and distinguished by their different degrees of loose coupling of service parameters (attributes) and determinations of service execution result. Further based on them, a hybrid collaboration mode is presented, including Ordinary, conVersion, adapTor, and weakly-constrained Modulator collaborations. Based on recipes, quantitative service compositions are imported. All these make agents have the ability to cope with the "mismatched-structured" and "technics -innovation" problems in a more flexible manner. Contract constraint is also integrated into the model to ensure the self-organizing collaboration is trusted. Through verification and comparison with RPACTI Agent model we know, it strongly supports multi-agent systems to work well for cooperative manufacturing and assembling in open environment, by the guarantee of high success rate, high efficiency and more flexibility at the same time.1) 本文责任编委 赵千川 -
图 2 ${\rm CRQA}_{OVTM}$ Agent下混合协作关系示意图
Fig. 2 Diagrammatic sketch of hybrid cooperations under ${\rm CRQA}_{OVTM}$ Agent
表 1 任务约束项数为4~7时两类模型的接口成功概率数据
Table 1 Two model interface success rate data under task constraints 4$\, \sim\, $7
接口代理 能力 潜力 兴趣 普通接口 转换接口 适配接口 调制接口 接口代理 Agent1 {1, 3, 1} {2, 3, 75%} {61, 3, 50%} {1, 3, 1} {3, 1, 93%} {2, 3, 86%} {61, 3, 60%} AGENT1 {5, 1, 1} {4, 1, 75%} {83, 1, 50%} {5, 1, 1} {6, 3, 93%} {4, 1, 86%} {83, 1, 60%} {11, 1, 1} {12, 1, 75%} {95, 1, 50%} {11, 1, 1} {7, 2, 93%} {12, 1, 86%} {95, 1, 60%} {15, 1, 1} {16, 1, 75%} {97, 1, 50%} {15, 1, 1} {8, 2, 93%} {16, 1, 86%} {97, 1, 60%} {21, 2, 1} {22, 2, 75%} {75, 2, 50%} {21, 2, 1} {9, 3, 93%} {22, 2, 86%} {75, 2, 60%} {51, 3, 1} {52, 3, 75%} {87, 3, 50%} {51, 3, 1} {10, 2, 93%} {52, 3, 86%} {87, 3, 60%} Agents2 {2, 2, 1} {1, 2, 73%} {61, 2, 55%} {2, 2, 1} {61, 3, 96%} {1, 2, 84%} {61, 2, 64%} AGENT2 {4, 2, 731} {5, 2, 73%} {83, 2, 55%} {4, 2, 1} {83, 1, 96%} {5, 2, 84%} {83, 2, 64%} {12, 3, 1} {11, 3, 73%} {95, 3, 55%} {12, 3, 1} {95, 1, 96%} {11, 3, 84%} {95, 3, 64%} {16, 4, 1} {15, 4, 73%} {97, 4, 55%} {16, 4, 1} {97, 1, 96%} {15, 4, 84%} {97, 4, 64%} {22, 1, 1} {21, 1, 73%} {75, 1, 55%} {22, 1, 1} {75, 2, 96%} {21, 1, 84%} {75, 1, 64%} {52, 1, 1} {51, 1, 73%} {87, 1, 55%} {52, 1, 1} {87, 3, 96%} {51, 1, 84%} {87, 1, 64%} Agents3 {61, 1, 1} {2, 1, 76%} {1, 1, 52%} {61, 1, 1} {13, 2, 95%} {2, 1, 84%} {1, 1, 62%} AGENT3 {83, 3, 1} {4, 3, 76%} {5, 3, 52%} {83, 3, 1} {14, 2, 95%} {4, 3, 84%} {5, 3, 62%} {95, 2, 1} {12, 2, 76%} {11, 2, 52%} {95, 2, 1} {17, 3, 95%} {12, 2, 84%} {11, 2, 62%} {97, 2, 1} {16, 2, 76%} {15, 2, 52%} {97, 2, 1} {18, 4, 95%} {16, 2, 84%} {15, 2, 62%} {75, 3, 1} {22, 3, 76%} {21, 3, 52%} {75, 3, 1} {19, 1, 95%} {22, 3, 84%} {21, 3, 62%} {87, 2, 1} {52, 2, 76%} {日1，2, 52%} {87, 2, 1} {20, 1, 95%} {52, 2, 84%} {51, 2, 62%} Agent4 {1, 4, 1} {2, 4, 78%} {61, 4, 51%} {1, 4, 1} {23, 4, 94%} {2, 4, 85%} {61, 4, 63%} AGENT4 {5, 4, 1} {4, 4, 78%} {83, 4, 51%} {5, 4, 1} {24, 4, 94%} {4, 4, 85%} {83, 4, 63%} {11, 5, 1} {12, 5, 78%} {95, 5, 51%} {11, 5, 1} {25, 5, 94%} {12, 5, 85%} {95, 5, 63%} {15, 3, 1} {16, 3, 78%} {97, 3, 51%} {15, 3, 1} {26, 3, 94%} {16, 3, 85%} {97, 3, 63%} {21, 4, 1} {22, 4, 78%} {75, 4, 51%} {21, 4, 1} {27, 4, 94%} {22, 4, 85%} {75, 4, 63%} {51, 4, 1} {52, 4, 78%} {87, 4, 51%} {51, 4, 1} {28, 4, 94%} {52, 4, 85%} {87, 4, 63%} $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ 
下载: 导出CSV
表 2 任务约束项数为4$ \sim $7时方案
Table 2 Schemes under task constraints 4$ \sim $7
任务 约束项数 RPA$_{CTI}$ Agent方案 CRQA$_{OVTM}$ Agent方案 说明 任务1 $4\in 4 \sim 7$ {Agent$_3$.$I$ (52 %), Agent$_2.P$ (73$ \%$),
Agent$_1.C$, Agent$_4.C$}{AGENT$_3$.$M$ (62$ \%$), AGENT$_2$.$T$ (84$ \%$),
AGENT$_1$.$O$, AGENT$_4$.$O$}RPA$_{CTI}$Agent方案连续出现两个", "说明第2项约束(子任务)无接口可以匹配 任务2 $4\in 4 \sim 7$ {Agent$_3$.$P$ (76$ \%$), Agent$_2$.$C$,
Agent$_1$.$P$ (75$ \%$), Agent$_4$.$P$ (78$ \%$)}{AGENT$_3$.$T$ (84$ \%$), AGENT$_5$.$O$, AGENT$_6$.$T$
(86$ \%$), AGENT$_7$.$T$ (85$ \%$)}任务3 $4\in 4 \sim 7$ {Agent$_5.P$ (76 $\%$),
Agent$_7$.$P$ (75$ \%$), Agent$_9$.$P$ (78$ \%$)}{AGENT$_1$.$V$ (93$ \%$), AGENT$_3$.$T$ (84$ \%$), AGENT2.$O$,
AGENT$_4$.$T$ (85$ \%$)}任务4 $4\in 4 \sim 7$ {Agent$_1$.$P$ (75$ \%$), Agent$_2$.$C$,
Agent$_3$.$P$ (76$ \%$), Agent$_4$.$P$ (78$ \%$)}{AGENT$_1$.$T$ (86$ \%$), AGENT$_2$.$O$, AGENT$_3$.$T$
(84$ \%$), AGENT$_4$.$T$ (85$ \%$)}任务5 $4\in 4 \sim 7$ {Agent$_1$.$C$, Agent$_2$.$P$ (73$ \%$),
$\quad$
Agent$_3$.$I$ (52$ \%$), Agent$_4$.$C$}{AGENT$_1$.$O$, AGENT$_2$.$T$ (84$ \%$),
AGENT$_3$.$M$ (62$ \%$), AGENT$_4$.$O$}$\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $
下载: 导出CSV
表 3 两类系统实验数据
Table 3 Experiment data of the two kinds of systems
$4 \sim 7$ $10 \sim 12$ $22 \sim 25$ 30$ \sim $32 ${\rm RPA}_{CTI}$ Agent系统 91.4$ \%$ 72.8$ \%$ 62.3$ \%$ 40.6$ \%$ ${\rm CRQA}_{OVTM}$ Agent系统 97.8$ \%$ 90.2$ \%$ 77.7$ \%$ 68.5$ \%$
下载: 导出CSV
-
[1] Barenji RV, Barenji A V, Hashemipour M. A Multi-Agent RFID-enabled distributed control system for a flexible manufacturing shop. International Journal of Advanced Manufacturing Technology, 2014, 71(9-12):1773-1791 doi: 10.1007/s00170-013-5597-2 [2] 刘明周, 吴坤, 马靖, 王强, 凌琳.一种制造物联网环境下的机械产品装配过程运行管理方法.中国机械工程, 2015, 26(16):2183-2190 doi: 10.3969/j.issn.1004-132X.2015.16.010Liu Ming-Zhou, Wu Kun, Ma Jing, Wang Qiang, Ling Lin. A assembly process operation management method of mechanical products based on internet of manufacturing things. China Mechanical Engineering, 2015, 26(16):2183-2190 doi: 10.3969/j.issn.1004-132X.2015.16.010 [3] Grosz B J, Kraus S. Collaborative plans for complex group action. Artificial Intelligence, 1996, 86(2):269-357 doi: 10.1016/0004-3702(95)00103-4 [4] 罗小川, 刘兴刚, 李丹程, 曲蓉霞.分布式测量系统服务窗口动态调度方法研究.自动化学报, 2008, 34(6):690-696 http://www.aas.net.cn/CN/abstract/abstract17894.shtmlLuo Xiao-Chuan, Liu Xing-Gang, Li Dan-Cheng, Qu Rong-Xia. Dynamic scheduling algorithm of service windows in a distributed measurement system. Acta Automatica Sinica, 2008, 34(6):690-696 http://www.aas.net.cn/CN/abstract/abstract17894.shtml [5] 康玲, 吴华, 王时龙, 周杰.面向服务的云制造系统架构分析.重庆大学学报, 2013, 36(11):66-73 doi: 10.11835/j.issn.1000-582X.2013.11.011Kang Ling, Wu Hua, Wang Shi-Long, Zhou Jie. Research on Service-oriented system architecture and mechanism for cloud manufacturing. Journal of Chongqing University, 2013, 36(11):66-73 doi: 10.11835/j.issn.1000-582X.2013.11.011 [6] Pinho D, Vivacqua A S, Medeiros S, de Souza J M. Similarity-based knowledge agents for cooperative design. In: Proceedings of the 9th International Conference on Computer Supported Cooperative Work in Design. Coventry, UK: IEEE, 2005. 417-422 [7] 左兴权, 王春露, 赵新超.一种结合多目标免疫算法和线性规划的双行设备布局方法.自动化学报, 2015, 41(3):528-540 http://www.aas.net.cn/CN/abstract/abstract18631.shtmlZuo Xing-Quan, Wang Chun-Lu, Zhao Xin-Chao. Combining multi-objective immune algorithm and linear programming for double row layout problem. Acta Automatica Sinica, 2015, 41(3):528-540 http://www.aas.net.cn/CN/abstract/abstract18631.shtml [8] Lima M K, Zhang Z. A Multi-Agent system using iterative bidding mechanism to enhance manufacturing agility. Expert Systems with Applications, 2012, 39(9):8259-8273 doi: 10.1016/j.eswa.2012.01.160 [9] Moslehi G, Mahnam M. A pareto approach to Multi-Objective flexible Job-Shop scheduling problem using particle swarm optimization and local search. International Journal of Production Economics, 2011, 129(1):14-22 doi: 10.1016/j.ijpe.2010.08.004 [10] 杨培颖, 唐加福, 于洋, 裴金翔.面向最小碳排放量的接送机场服务的车辆路径与调度.自动化学报, 2013, 39(4):424-432 http://www.aas.net.cn/CN/abstract/abstract17815.shtmlYang Pei-Ying, Tang Jia-Fu, Yu Yang, Pei Jin-Xiang. Minimizing carbon emissions for vehicle routing and scheduling in picking up and delivering customers to airport service. Acta Automatica Sinica, 2013, 39(4):424-432 http://www.aas.net.cn/CN/abstract/abstract17815.shtml [11] 万晓琴, 严洪森, 汪峥.知识化制造环境下航空发动机装配线调度及自重构.自动化学报, 2015, 41(1):136-146 http://www.aas.net.cn/CN/abstract/abstract18591.shtmlWan Xiao-Qin, Yan Hong-Sen, Wang Zheng. Scheduling and self-reconifiguration of an aircraft engine assembly line in knowledgeable manufacturing. Acta Automatica Sinica, 2015, 41(1):136-146 http://www.aas.net.cn/CN/abstract/abstract18591.shtml [12] 郭航, 高济, 胡斌, 傅朝阳. RPACTI Agent支持的开放式环境下协同设计系统.计算机辅助设计与图形学学报, 2009, 21(5):694-699 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjfzsjytxxxb200905022Guo Hang, Gao Ji, Hu Bin, Fu Zhao-Yang. Cooperative design system supported by RPACTI agent in open environment. Journal of Computer-Aided Design & Computer Graphics, 2009, 21(5):694-699 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=jsjfzsjytxxxb200905022 -
点击查看大图
图(4) / 表(3)
计量
- 文章访问数: 2232
- HTML全文浏览量: 192
- PDF下载量: 550
- 被引次数: 0
