【摘要】 制造物联网（MIoT）是一种将制造业生产系统与互联网连接相结合的技术，数据处理更是在制造物联网中发挥着至关重要的作用。随着制造业规模的不断扩大，传统的云计算已经逐渐不能满足数据处理的需求，雾计算的发展则能有效地减少决策延迟，提高系统效率。本文概述基于雾计算的制造物联网数据处理技术，首先介绍MIoT数据的产生、特点，以及数据处理过程中所要面对的挑战。其次，介绍基于雾计算的MIoT数据处理架构。然后，介绍雾计算数据处理的关键技术。最后，介绍该架构在部署时需要面对的挑战，以及雾计算在MIoT中应用的未来发展方向。更多还原

【Abstract】 Manufacturing Internet of Things(MIoT)is a kind of technology that combines manufacturing production system with Internet connection. Data processing plays a crucial role in MIoT. With the continuous expansion of manufacturing scale,traditional cloud computing has gradually failed to meet the needs of data processing,while the development of fog computing can effectively reduce decision delay and improve system efficiency. This paper summarizes the MIoT data processing technology based on fog computing. Firstly,the generation and characteristics of MIoT data are introduced,as well as the challenges to be faced in the data processing process. Secondly,the MIoT data processing architecture based on fog computation is introduced. Then,the key techniques of data processing in fog computation are introduced. Finally,it introduces the challenges to be faced in the deployment of the architecture and the future direction of fog computing in MIoT.更多还原