嘉賓介紹
李學(xué)俊
安徽大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院副院長、教授
報(bào)告摘要
摘要：智慧物流是指通過智能硬件、物聯(lián)網(wǎng)、大數(shù)據(jù)等技術(shù)與手段，提高物流系統(tǒng)分析決策和智能執(zhí)行的能力，提升整個(gè)物流系統(tǒng)的智能化、自動(dòng)化水平。移動(dòng)邊緣計(jì)算環(huán)境具有低延時(shí)、位置感知、海量計(jì)算資源等優(yōu)勢(shì)為智慧物流提供了新的分布式計(jì)算范型。本次報(bào)告對(duì)基于移動(dòng)邊緣計(jì)算的智慧物流場景進(jìn)行了深入剖析，提出了基于移動(dòng)邊緣計(jì)算的智慧物流三級(jí)架構(gòu)，并給出了在資源管理、人工智能、安全這三類問題的研究進(jìn)展。
Abstracts: Smart Logistics refers to improving the analysis and decision making ability of logistics systems by using intelligent hardware, Internet of Things, big data and other technologies. The Mobile Edge Computing (MEC) environment provides a new distributed computing paradigm for smart logistic due to its characteristic of low latency, local awareness and mass computing resource. This report analyzes the Mobile Edge Computing technology in Smart Logistic deeply. The three-layer framework of MEC-based UAV last-mile delivery system is first proposed. Then, the research achievements for the problems in MEC-based smart logistic are provided, which include resource management, artificial intelligence and security.
關(guān)鍵詞：智慧物流；移動(dòng)邊緣計(jì)算；最后一公里配送
Key words: Smart Logistic; Mobile Edge Computing; Last-Mile Delivery
