This chapter summarizes the basic knowledge of IoT, including network communication, data collection, data storage and management, device management and maintenance, data analysis and intelligent decision-making, edge computing and IoT, etc. Through these contents, readers can fully understand the basic concepts and application scenarios of IoT.
This article details the application of IoT data analysis in fields such as smart homes, industrial automation, and smart cities. Through steps such as data collection, data preprocessing, data analysis, and result interpretation, it helps enterprises optimize production processes, improve resource utilization, and enhance operational efficiency and quality of life.
This article introduces in detail the data collection technology in the IoT system, including the classification and characteristics of sensors and their applications in different fields. By understanding this basic knowledge, readers can better understand the importance of data collection in IoT and its practical application scenarios.
This article details various aspects of IoT device management and maintenance, including device registration, device authentication, device monitoring, etc. Through a systematic device management process, ensure that devices operate efficiently and securely throughout their lifecycle.
This article explores the application of edge computing in the Internet of Things (IoT), introducing the definition of edge computing, the collaboration between edge computing and cloud computing, and the challenges and solutions of edge computing. Through edge computing, IoT systems can achieve real-time data processing and local decision-making, improving response speed and reliability. The edge-cloud collaborative architecture combines the advantages of both, optimizing resource utilization and enhancing system performance.
This article introduces the key elements of IoT platform architecture design, including multi-protocol support, data processing capabilities, flexible alert and notification mechanisms, fine-grained permission management, and comprehensive data security measures. At the same time, the article also elaborates on the various architectural layers of the IoT platform, such as the communication layer, data parsing layer, data storage layer, user management layer, data permission layer, data analysis layer, notification layer, and operation and maintenance layer.