MATLAB & Simulink R2016a 版本於物聯網應用之最新功能及工作流程
(Highlights of MATLAB & Simulink 2016a for IoT Workflows)

物聯網(IoT, Internet of Things)描繪了一股新興的大趨勢,代表著大量的嵌入式設備(物)都被連接至網際網路;而這些被連接的設備與人、其他設備進行溝通後,透過感測器將資料儲存雲端上,藉由其上的運算資源進行資料處理及分析,而獲得重要的資訊及洞見。而雲端運算能力的日益平民化讓人們負擔得起,再加上設備間的連接性愈來愈強,因此推波助瀾助長了這股趨勢。IoT系統的成功必須仰賴健全的資料解析能力,以及可以在嵌入式設備、雲端、或離線的桌上型電腦上進行設計的強大技術能力。

IoT解決方案是因應許多垂直的應用而產生的,如環境監測及控制、健康監測、車隊監控、工業監測及控制與家用自動化等等。MATLAB® and Simulink® 可藉由幫助您開發及測試邊緣節點設備(edge node devices)、取得及匯集資料、分析IoT感應資料及建立傳輸通道模型等工作。

在本演講中,我們將先介紹典型的IoT工作流程及其挑戰。之後的幾個演講,將依照本工作流程依次深入探討MATLAB與Simulink如何助您應對這些挑戰。

Internet of Things (IoT) describes an emerging trend where a large number of embedded devices (things) are connected to the Internet. These connected devices communicate with people and other things and often provide sensor data to cloud storage and cloud computing resources where the data is processed and analyzed to gain important insights. Affordable cloud computing power and increased device connectivity is enabling this trend. IoT systems depend upon robust data analytics, the design for which can occur on embedded devices, in the Cloud or offline on the desktop.

IoT solutions are built for many vertical applications such as environmental monitoring and control, health monitoring, vehicle fleet monitoring, industrial monitoring and control, and home automation. MATLAB® and Simulink® products support IoT systems by helping you develop and test edge node devices, access and aggregate data, and analyze IoT sensor data and model communications channels.

In this overview session, we will describe the typical IoT workflow and its challenges. We will come back to this workflow in later sections of the seminar as we dive deeper into how MATLAB and Simulink can help address these challenges.