Esp Study Shuaiwen Cui Github Io

This project is for ESP32 study and practice. Espressif Systems is a semiconductor company based in China, known for developing low-power wireless solutions, including Wi-Fi and Bluetooth modules and SoCs (System on Chips). Their products, such as the ESP8266 and ESP32 series, have gained popularity in IoT, embedded systems, and wireless communication due to their low cost, power efficiency, and ease of use. Espressif provides a range of development tools and software support, making their products widely adopted by developers and engineers in various industries. ESP-IDF (Espressif IoT Development Framework) is the official development framework for the ESP32 series chips from Espressif. It provides a comprehensive set of tools and libraries to help developers create robust applications for ESP32-based devices.

ESP-IDF supports FreeRTOS, Wi-Fi, Bluetooth, and a wide range of peripherals. It is compatible with the GCC toolchain and supports multiple languages like C and C++. The framework includes components for networking, security, power management, and driver development, making it suitable for a wide range of IoT applications. There are two ways to use ESP-IDF: ESP-IDF Command Prompt and GUI-based IDEs like Visual Studio Code. The latter is the most popular way to use ESP-IDF. For rapid prototyping, we use MICROPYTHON; for high-performance applications, we use ESP_IDF.

RESEARCH TOPICS -- PUSHING STRUCTURAL HEALTH MONITORING TO THE EDGE DEVICES My Ph.D. research topic is Distributed Edge Intelligence Framework for IoT-based Structural Health Monitoring, with a focus on developing a distributed edge-intelligence enabling framework for resource-constrained, low-cost edge devices, to promote a paradigm shift from cloud... Review Paper - Ubiquitous Computing and Intelligence in IoT-based Structural Health Monitoring (From Edge to Cloud) Cui, S., Fu, Y.*, Fu, H., & Shen, W. (2026).

Edge-to-Cloud Computing and Intelligence for IoT-based Structural Health Monitoring: A Comprehensive Review. Advanced Engineering Informatics. To achieve edge intelligence computing, we have developed two types of MCU nodes, based on STM32 and ESP32. These nodes have high-performance edge computing capabilities and can be used in IoT, smart home, smart city, and other application scenarios. The current development focus is on ESP32.

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