传统注塑机模具保护方法不稳定,经常出现误检测使模具损坏现象,为此提出一种基于机器视觉的模具保护方法;此方法是将合模前空模前景图与空模背景图相比较,计算各个ROI(Region of Interesting)检测区域内的像素合格率,以此判断合模前模...传统注塑机模具保护方法不稳定,经常出现误检测使模具损坏现象,为此提出一种基于机器视觉的模具保护方法;此方法是将合模前空模前景图与空模背景图相比较,计算各个ROI(Region of Interesting)检测区域内的像素合格率,以此判断合模前模具中是否有异物;采用了近红外光照明、背景自动更新等技术,以解决周围环境光亮度变化和震动对检测结果的负面影响;同时设定多个ROI检测区域,以提高检测速度和稳定性;根据实验结果可以得出基于视觉的模具保护方法具有处理稳定,速度快的特点,能够有效地保护模具和检测工件的完整性。展开更多
As the smart grid concepts are emphasized lately, the need to modernize the power engineering education is also well recognized. This paper presents a set of newly developed modeling, simulation and testing tools aime...As the smart grid concepts are emphasized lately, the need to modernize the power engineering education is also well recognized. This paper presents a set of newly developed modeling, simulation and testing tools aimed at better understanding of the design concept and related applications for protective relaying and substation automation solutions for the smart grid. Since the smart grid applications require integration of data from multiple IEDs （intelligent electronic devices）, understanding properties of each IED type in detail, as well as their responses to the power system events is needed. In addition, understanding the communication requirements to perform data integration is also important. To illustrate how the mentioned smart grid issues may be taught, the following advanced teaching approaches are presented： （1） Use of modeling and simulation means to better understand interaction between the relays and power system; （2） Use of IED test facilities to better understand performance of physical devices used for protection, monitoring and control; （3） Utilization of communication network modeling tools to simulate the communication network within SAS （substation automation system）. Examples showing the use of proposed techniques for teaching the fundamentals and applications are presented. The examples demonstrate the adequacy and efficiency of the proposed techniques.展开更多
文摘传统注塑机模具保护方法不稳定,经常出现误检测使模具损坏现象,为此提出一种基于机器视觉的模具保护方法;此方法是将合模前空模前景图与空模背景图相比较,计算各个ROI(Region of Interesting)检测区域内的像素合格率,以此判断合模前模具中是否有异物;采用了近红外光照明、背景自动更新等技术,以解决周围环境光亮度变化和震动对检测结果的负面影响;同时设定多个ROI检测区域,以提高检测速度和稳定性;根据实验结果可以得出基于视觉的模具保护方法具有处理稳定,速度快的特点,能够有效地保护模具和检测工件的完整性。
文摘As the smart grid concepts are emphasized lately, the need to modernize the power engineering education is also well recognized. This paper presents a set of newly developed modeling, simulation and testing tools aimed at better understanding of the design concept and related applications for protective relaying and substation automation solutions for the smart grid. Since the smart grid applications require integration of data from multiple IEDs （intelligent electronic devices）, understanding properties of each IED type in detail, as well as their responses to the power system events is needed. In addition, understanding the communication requirements to perform data integration is also important. To illustrate how the mentioned smart grid issues may be taught, the following advanced teaching approaches are presented： （1） Use of modeling and simulation means to better understand interaction between the relays and power system; （2） Use of IED test facilities to better understand performance of physical devices used for protection, monitoring and control; （3） Utilization of communication network modeling tools to simulate the communication network within SAS （substation automation system）. Examples showing the use of proposed techniques for teaching the fundamentals and applications are presented. The examples demonstrate the adequacy and efficiency of the proposed techniques.
