数字孪生技术具有虚实融合的特性,智能车间数字孪生可以使生产过程透明化,利用实时数据可以有效指导车间生产。为实现基于数字孪生的生产过程可视化管控,提出了面向生产过程的智能车间数字孪生建模及应用。首先,建立了智能车间数字孪生...数字孪生技术具有虚实融合的特性,智能车间数字孪生可以使生产过程透明化,利用实时数据可以有效指导车间生产。为实现基于数字孪生的生产过程可视化管控,提出了面向生产过程的智能车间数字孪生建模及应用。首先,建立了智能车间数字孪生系统体系架构。然后对系统实现的3项关键技术——基于点云拟合的三维几何模型构建方法、面向数据交互的对象链接与嵌入的过程控制统一架构(Object linking and embedding for process control unified architecture,OPC UA)信息建模方法、以及多源异构数据集成及虚实映射数据快速匹配方法进行了详细阐述;最后,对某发动机制造车间进行了数字孪生的实现,验证了所提方法的正确性和有效性。展开更多
Cloud manufacturing has become a reality. It requires sensing and capturing heterogeneous manufacturing resources and extensive data analysis through the industrial internet. However,the cloud computing and serviceori...Cloud manufacturing has become a reality. It requires sensing and capturing heterogeneous manufacturing resources and extensive data analysis through the industrial internet. However,the cloud computing and serviceoriented architecture are slightly inadequate in dynamic manufacturing resource management. This paper integrates the technology of edge computing and microservice and develops an intelligent edge gateway for internet of thing(IoT)-based manufacturing. Distributed manufacturing resources can be accessed through the edge gateway,and cloud-edge collaboration can be realized. The intelligent edge gateway provides a solution for complex resource ubiquitous perception in current manufacturing scenarios. Finally,a prototype system is developed to verify the effectiveness of the intelligent edge gateway.展开更多
As the manufacturing mode focuses more on network and community,the orders and production processes are becoming highly dynamic and unpredictable.The traditional manufacturing system cannot handle those exceptional ev...As the manufacturing mode focuses more on network and community,the orders and production processes are becoming highly dynamic and unpredictable.The traditional manufacturing system cannot handle those exceptional events such as rush orders and machine breakdowns.Nevertheless,the multiagent manufacturing system(MAMS)becomes a critical pattern to deal with these disturbances in a real-time way.However,due to the lack of universality,MAMS is difficult to be applied to industrial sites.A new multiagent architecture and the relay cooperation model based on a positive process relation matrix are proposed to address this paper’s issue.An optimized contract net protocol(CNP)-based negotiation mechanism is developed to improve the efficiency of collaboration in the proposed architecture.Finally,a case study of self-organizing internet of things(Io T)manufacturing system is used to test the feasibility and effectiveness of the method.It is shown that the proposed self-organizing Io T manufacturing mode outperforms the traditional manufacturing system in terms of makespan and critical machine workload balancing under disturbances through comparison.展开更多
目的分析2010—2021年江苏省南通地区女性乳腺癌疾病负担情况。方法收集并整理2010—2021年江苏省南通地区女性乳腺癌患者资料,分析乳腺癌发病率、死亡率、伤残调整寿命年(disability-adjusted life years,DALY)等疾病负担指标,采用年...目的分析2010—2021年江苏省南通地区女性乳腺癌疾病负担情况。方法收集并整理2010—2021年江苏省南通地区女性乳腺癌患者资料,分析乳腺癌发病率、死亡率、伤残调整寿命年(disability-adjusted life years,DALY)等疾病负担指标,采用年度变化百分比(annual percent change,APC)分析上述指标的时间变化趋势。结果2010—2021年南通市女性乳腺癌的发病率和标化发病率呈上升趋势,APC分别为3.07%、2.83%(P<0.01或P<0.05);死亡率和标化死亡率呈下降趋势,APC分别为-0.27%、-0.23%(P<0.01或P<0.05)。城市地区乳腺癌的标化发病率高于农村地区、标化死亡率低于农村地区。2016—2021年南通市女性乳腺癌各年龄段标化发病率均高于2010—2015年,而各年龄段标化死亡率均低于2010—2015年(均P<0.05)。2010—2021年女性乳腺癌DALY率、YLL率和YLD率均呈上升趋势,APC分别为0.62%、0.53%、3.62%(均P<0.05)。结论2010—2021年南通地区女性乳腺癌标化发病率、乳腺癌DALY率、YLL率和YLD率呈上升趋势,标化死亡率有所下降,相关部门可根据地区疾病负担变化特征调整对女性乳腺癌的防控措施。展开更多
基金supported in part by the National Key Research and Development Program of China(No.2018YFE0177000)the National Natural Science Foundation of China(No.52075257)。
文摘数字孪生技术具有虚实融合的特性,智能车间数字孪生可以使生产过程透明化,利用实时数据可以有效指导车间生产。为实现基于数字孪生的生产过程可视化管控,提出了面向生产过程的智能车间数字孪生建模及应用。首先,建立了智能车间数字孪生系统体系架构。然后对系统实现的3项关键技术——基于点云拟合的三维几何模型构建方法、面向数据交互的对象链接与嵌入的过程控制统一架构(Object linking and embedding for process control unified architecture,OPC UA)信息建模方法、以及多源异构数据集成及虚实映射数据快速匹配方法进行了详细阐述;最后,对某发动机制造车间进行了数字孪生的实现,验证了所提方法的正确性和有效性。
基金supported by the National Key Research and Development Program of China (No.2020YFB1710500)the Primary Research & Development Plan of Jiangsu Province(No.BE2021091)。
文摘Cloud manufacturing has become a reality. It requires sensing and capturing heterogeneous manufacturing resources and extensive data analysis through the industrial internet. However,the cloud computing and serviceoriented architecture are slightly inadequate in dynamic manufacturing resource management. This paper integrates the technology of edge computing and microservice and develops an intelligent edge gateway for internet of thing(IoT)-based manufacturing. Distributed manufacturing resources can be accessed through the edge gateway,and cloud-edge collaboration can be realized. The intelligent edge gateway provides a solution for complex resource ubiquitous perception in current manufacturing scenarios. Finally,a prototype system is developed to verify the effectiveness of the intelligent edge gateway.
基金supported by the National Key Research and Development Program of China(No.2018YFE0177000)National Natural Science Foundation of China(No.52075257)+1 种基金Equipment Project of Ship Assembly and Construction for the Ministry of Industry and Information Technology(No.TC190H47J)Fundamental Research Funds for the Central Universities(No.NP2020304)。
文摘As the manufacturing mode focuses more on network and community,the orders and production processes are becoming highly dynamic and unpredictable.The traditional manufacturing system cannot handle those exceptional events such as rush orders and machine breakdowns.Nevertheless,the multiagent manufacturing system(MAMS)becomes a critical pattern to deal with these disturbances in a real-time way.However,due to the lack of universality,MAMS is difficult to be applied to industrial sites.A new multiagent architecture and the relay cooperation model based on a positive process relation matrix are proposed to address this paper’s issue.An optimized contract net protocol(CNP)-based negotiation mechanism is developed to improve the efficiency of collaboration in the proposed architecture.Finally,a case study of self-organizing internet of things(Io T)manufacturing system is used to test the feasibility and effectiveness of the method.It is shown that the proposed self-organizing Io T manufacturing mode outperforms the traditional manufacturing system in terms of makespan and critical machine workload balancing under disturbances through comparison.
文摘目的分析2010—2021年江苏省南通地区女性乳腺癌疾病负担情况。方法收集并整理2010—2021年江苏省南通地区女性乳腺癌患者资料,分析乳腺癌发病率、死亡率、伤残调整寿命年(disability-adjusted life years,DALY)等疾病负担指标,采用年度变化百分比(annual percent change,APC)分析上述指标的时间变化趋势。结果2010—2021年南通市女性乳腺癌的发病率和标化发病率呈上升趋势,APC分别为3.07%、2.83%(P<0.01或P<0.05);死亡率和标化死亡率呈下降趋势,APC分别为-0.27%、-0.23%(P<0.01或P<0.05)。城市地区乳腺癌的标化发病率高于农村地区、标化死亡率低于农村地区。2016—2021年南通市女性乳腺癌各年龄段标化发病率均高于2010—2015年,而各年龄段标化死亡率均低于2010—2015年(均P<0.05)。2010—2021年女性乳腺癌DALY率、YLL率和YLD率均呈上升趋势,APC分别为0.62%、0.53%、3.62%(均P<0.05)。结论2010—2021年南通地区女性乳腺癌标化发病率、乳腺癌DALY率、YLL率和YLD率呈上升趋势,标化死亡率有所下降,相关部门可根据地区疾病负担变化特征调整对女性乳腺癌的防控措施。
