标签: Tutorial

Building an Enterprise IoT from Scratch Summary

从零构建企业物联网目录

The background of the era of IoT platforms From the initial exploration in the 1970s, to the concept proposal in the 1990s, and then to the technological breakthroughs in the 2000s, the IoT has experienced rapid development. Key technologies such as sensor technology, communication technology, big data, and cloud computing have driven the popularization and application of IoT. Understanding the history and technological driving factors of IoT helps to better grasp future development trends.

物联网平台的时代背景：从20世纪70年代的初步探索，到90年代的概念提出，再到2000年代的技术突破，物联网经历了快速发展。传感器技术、通信技术、大数据和云计算等关键技术推动了物联网的普及和应用。了解物联网的历史和技术驱动因素，有助于更好地把握未来的发展趋势。

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 introduces data storage and management in IoT systems, including data lifecycle management, types of data storage, and methods for handling time-series data. By understanding these contents, readers can better choose and manage IoT data storage solutions to ensure data availability, integrity, and security.

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.

本章总结了物联网基础知识，包括网络通信、数据采集、数据存储与管理、设备管理与维护、数据分析与智能决策、边缘计算与物联网等内容。通过这些内容，读者可以全面了解物联网的基本概念和应用场景。

本文详细介绍了物联网数据分析在智能家居、工业自动化和智慧城市等领域的应用，通过数据收集、数据预处理、数据分析和结果解释等步骤，帮助企业优化生产流程，提高资源利用率，提升运营效率和生活质量。

本文详细介绍了物联网系统中的数据采集技术，包括传感器的分类、特点及其在不同领域的应用。通过了解这些基础知识，读者可以更好地理解数据采集在物联网中的重要性和实际应用场景。

本文介绍了物联网系统中的数据存储与管理，包括数据生命周期管理、数据存储类型及时间序列数据的处理方法。通过了解这些内容，读者可以更好地选择和管理物联网数据存储解决方案，确保数据的可用性、完整性和安全性。

本文详细介绍了物联网设备管理与维护的各个方面，包括设备注册、设备认证、设备监控等内容。通过系统化的设备管理流程，确保设备在整个生命周期中高效、安全运行。

本文探讨了边缘计算在物联网中的应用，介绍了边缘计算的定义、边缘计算与云计算的协同工作，以及边缘计算的挑战与解决方案。通过边缘计算，物联网系统能够实现实时数据处理和本地决策，提高响应速度和可靠性。边缘-云协同架构结合了两者的优势，优化资源利用，提升系统性能。

本文介绍了物联网平台架构设计的关键要素，包括多协议支持、数据处理能力、灵活的告警和通知机制、细粒度的权限管理以及全面的数据安全措施。同时，文章还详细阐述了物联网平台的各个架构层次，如通讯层、数据解析层、数据存储层、用户管理层、数据权限层、数据分析层、通知层和运维层。

This article provides a detailed introduction to the architecture design of the IoT platform, including key features such as multi-protocol support, data processing capabilities, alarm and notification mechanisms, permission management, and data security, helping developers build efficient and secure IoT applications.

本文详细介绍了物联网平台的架构设计，包括多协议支持、数据处理能力、告警和通知机制、权限管理和数据安全等关键功能，帮助开发者构建高效、安全的物联网应用。