毕业设计(论文)-基于微信平台的多点温度采集系统手机Wifi通信设计.doc

状态 of the topic are analyzed, and common wireless communication methods such as Wi-Fi, Bluetooth, ZigBee, and LoRa are compared in terms of their characteristics and application scenarios. Wi-Fi is selected as the communication method for its wide availability and high data transfer rates. The Wi-Fi network's topology, basic services set (BSS), and fundamental security issues are then discussed. The proposed system architecture for the intelligent environment monitoring system is designed based on the properties of Wi-Fi networks. Each node in the system employs an SAM D21 microcontroller as the main control unit, while an ESP8266 module serves as the Wi-Fi interface. This configuration enables communication between nodes, aggregation of data at the root node, and transmission of collected data to a cloud server through the Internet. The ESP8266 module is controlled using AT commands, allowing it to establish a one-to-many connection in the Wi-Fi network. The module automatically records and stores temperature data, facilitating the monitoring function via a WeChat public account. The UART (Universal Asynchronous Receiver/Transmitter) interface is utilized for communication between the SAM D21 and ESP8266, enabling efficient data exchange. Embedded technology plays a crucial role in the design, as the SAM D21 microcontroller and ESP8266 module are both embedded systems that integrate processing power, memory, and communication capabilities into compact devices. This enables them to perform complex tasks in resource-constrained environments. In addition to the hardware setup, the software development process is outlined, including the firmware for the SAM D21 and the programming of the ESP8266 module to communicate with the WeChat platform. The integration of the WeChat API allows users to receive real-time temperature updates and remotely monitor environmental conditions. The significance of this project lies in its practicality and adaptability across various industries. By leveraging Wi-Fi and WeChat, it offers a user-friendly interface and a scalable solution for remote monitoring. Furthermore, the use of cost-effective components and open-source technologies like the AT command set for ESP8266 makes this system accessible and attractive for small-scale applications or DIY enthusiasts. In conclusion, the presented design demonstrates an effective approach to implement a multi-point temperature monitoring system using Wi-Fi and WeChat integration. It combines the benefits of wireless communication, embedded systems, and cloud services to create an affordable, efficient, and remotely accessible solution for monitoring environmental parameters. The potential applications range from industrial processes to agriculture and smart homes, highlighting the versatility and relevance of this technology in today's interconnected world.