Design of Control System of Epidemic Prevention Mobile Platform based on ASR

The outbreak has spread all over the world, and the risk of medical work remains high. Traditional epidemic prevention methods have the risk of cross-infection. In order to reduce the contact rate of COVID-19 and strengthen the intelligence of epidemic prevention, this paper proposes an ASR-based mobile platform control system design for epidemic prevention. The system consists of an ASR control module, an epidemic prevention and disinfecting module, and a platform moving module. The system processes voice commands into text messages through ASR and transmits them in JSON format. The data is parsed by lexical analysis, keyword extraction and command parsing to complete the command parsing. The atomic instructions that can be recognized by the machine are solved by Iclingo and sent to the platform mobile module and the epidemic prevention and disinfection module, and the disinfection is completed at the designated place. Unity3D simulation experiments show that, compared with traditional Chinese speech recognition, the system responds faster under standard commands and has high recognition accuracy under language habit. And the operation is stable and the control is accurate, which can meet the task of epidemic prevention and disinfection in medical care places and reduce the infection rate of germs.