Design of RTOS-based Wireless Remote Monitoring System for Indoor Environment

What is it about?

With the development of low-cost microcontrollers, sensors and wireless communications, intelligent environment monitoring based on the Internet of Things (IoT) has become possible. In this paper, an indoor environment monitoring system constructed by sensor network is realized. The system consists of distributed sensing nodes, which contain temperature and humidity, human infrared, voice recognition and camera sensors, etc. The nodes are connected to STM32 microcontrollers and WIFI modules and are scheduled in real time using free real time operating system(FreeRTOS). The visual and time series sensing data are transmitted to the server via WIFI in real time, and the user can monitor the system remotely by using the PYQT interface program on the PC. The system can also control home appliances by voice. The data interaction uses self-built WIFI module in AP mode for SOCKET communication. Through rigorous testing, the system demonstrates the capability of data communication, low-latency video streaming, and bi-directional control. The sensor network and real-time OS based architecture utilizes parallel execution to balance different temporal tasks and realize an agile cyber-physical system. This paper provides a reference for the underlying software infrastructure of intelligent buildings, embodying the integrated application of real-time scheduling, sensor networks and human-computer interaction.

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Why is it important?

In this paper, an RTOS-based wireless remote monitoring system for indoor environment is designed and implemented. The system uses a variety of sensors and modules that simulate indoor appliances connected to an STM32F407 microprocessor, demonstrating the feasibility of using distributed sensor nodes with a modular architecture and a real-time operating system in smart infrastructure applications. Through TCP/IP socket communication and an intuitive graphical user interface, remote users can monitor the environment in real time and control the devices by sending wireless commands. Rigorous testing verifies the functional correctness, robustness and deterministic performance of the implemented prototype. The affordable modular design provides room for incremental enhancements by integrating more sensors, automation rules. This work provides useful insights for building the next generation of sensing and control systems for smart spaces.

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