标签: Development Platform

Building an Enterprise IoT from Scratch Summary

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.

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.

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.

This article details the solution for designing and managing a large number of MQTT clients in IoT projects, including constraints, solution design, load balancing, and failover, helping developers optimize system performance and ensure stable operation.

In this article, we detail how to write an MQTT client parsing script in the Go IoT development platform. Through specific case programs, you will learn how to handle data reported by the MQTT client and ensure that the return value contains the necessary data fields. This article also provides a detailed explanation of each field to help you better understand and apply these concepts.

This article introduces how to use WebSocket, MQTT, TCP/IP, COAP protocols for data transmission in the Go IoT development platform, and provides relevant port configuration and Nginx configuration examples to help developers better achieve multi-protocol support.

This article details how to use the COAP protocol to access devices on the Go IoT development platform, including access procedures, code examples, and precautions to help developers quickly get started and achieve efficient device access.

This article details how to use the TCP/IP protocol to access devices in the Go IoT development platform, including access processes, authentication methods, and data transmission examples, helping developers quickly get started and achieve efficient device access.

This article details how to access devices through WebSocket in the Go IoT development platform, including login authentication and client creation steps, suitable for IoT developers.

This article details the design scheme of data alarms in IoT projects, including temperature monitoring alarms, equipment performance degradation alarms, and multi-device linkage alarms, helping developers better understand and apply data alarm technology.

Understand the core data structure and installation method of the data flow link in the Go IoT development platform, and optimize the data processing flow of IoT projects.

This chapter summarizes the basic knowledge of IoT, covering the definition of IoT, the three-layer architecture model of IoT, and its applications in smart homes, industry, agriculture, healthcare, and other fields.

In-depth end of MQTT