应周光辉教授邀请，新西兰奥克兰大学终生讲师博士来我院进行学术交流并作大数据分析与物联网制造方面的报告。

标题: Big Data Analytics for Internet of Things (IoT)-enabled Manufacturing

时间：2016年12月23日 上午9:00 – 10:20

地点：我院第三会议室

Abstract:

Internet of Things (IoT) technologies like RFID (Radio Frequency Identification) are used for manufacturing shopfloors where typical manufacturing resources are converted into smart manufacturing objects (SMOs). SMOs are equipped with appropriate level of intelligence, allowing them to intelligently predict and react to physical world events, and make decisions autonomously with and without human intervention. Along with the enormous interactions among large number of SMOs in production sites, great myriad of data will be generated. Such Big Data is able to greatly upgrade the IoT-enabled manufacturing and create better decision-making mechanisms.

This talk introduces an IoT-enabled manufacturing by systematically deploying RFID devices and wireless network to create a smart environment where SMOs are able to interact and interconnect with each other so that vast number of data will be generated. A Big Data Analytics approach is presented to make full use the data for various production decision-makings. Firstly, an innovative RFID-Cuboid model is proposed to organize the abstract and complex sensed data. Secondly, a Big Data Analytics framework is presented to process the organized RFID Big Data. Thirdly, data-driven production decisions like planning and scheduling, logistics and performance evaluation models are presented. Finally, some practical cases will be demonstrated for examining the feasibility and practicality of the proposed approaches.

个人简介

钟润阳（Ray Y. Zhong），博士，新西兰奥克兰大学机械工程系终身讲师，美国IEEE会员、美国IIE会员、香港物流与供应链学会会员、美国ASME会员、美国POMS会员、香港科学会会员、英国IET会员。2013年毕业于香港大学工业及制造系统工程系，获博士学位。研究方向主要包括：工业物联网、制造业大数据处理、及先进排程。钟博士主持并主要参与了一系列国家及省部级项目，包括：国家自然科学基金青年项目、中国博士后项目、国家863 RFID专项项目，国家自然科学基金面上项目，广东省科技厅、教育厅、香港ITF项目十多项；在相关研究领域发表论文近100余篇（被引700余次），其中SCI收录近40篇，EI收录50余篇。