With the increasing integration of advanced technologies in military applications, weapons and equipment are now being developed toward higher performance, greater sophistication, and enhanced capabilities. However, traditional military training methods face significant challenges, including long training durations, high costs, and limited training environments. These limitations often prevent them from achieving the intended effectiveness and fail to meet the demands of modern military exercises. To address these issues, simulation-based training has emerged as a practical solution.
To further enhance the efficiency and effectiveness of training, this article introduces a teaching and playback system that mimics an exerciser, utilizing a smart voice interactive chip. The system provides trainees with a clear and vivid demonstration of standard operating procedures, significantly reducing practice time while improving overall training outcomes. Additionally, the playback function records key parameters such as passwords, sound intensity, actions, timing, and visual appearances during training. This recorded data is then replayed to allow trainees to identify and correct their mistakes in real time.
The system operates without the need for virtual reality technology and can be implemented on a small embedded system, making it both cost-effective and portable. It consists of a master control computer and multiple slave devices. Each slave device includes components such as an Arduino Mega2560 controller, a voice recognition unit, a sound intensity detection module, a voice synthesis unit, and a panel control unit. During training, the system controls the entire process, while during playback, it replicates the recorded actions accurately.
The voice recognition unit uses the LD3320 chip, which supports speaker-independent speech recognition, allowing it to recognize voice commands from different users. The system also incorporates a sound intensity detection circuit to determine which operator is speaking based on volume levels. For audio output, the system utilizes the SYN6658 TTS chip, enabling real-time text-to-speech conversion and enhancing the system’s flexibility.
On the software side, the measurement and control computer runs in C#, managing data recording and playback. The Arduino Mega2560 handles command execution, data collection, and voice synthesis. The system ensures accurate synchronization between recorded and real-time operations using a 50ms interval timer.
Overall, this system offers a practical and efficient alternative to traditional military training, combining smart voice technology with embedded systems to deliver a realistic and effective simulation environment. Its simplicity, portability, and adaptability make it a promising tool for modern military education and training.
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