Application of Voice Recognition Technology in the Safety Management of Photovoltaic Engineering
Aiming at the difficult problems in safety management in photovoltaic engineering,the application scheme of voice recognition technology is studied.By deploying high-sensitivity acoustic sensor network and combining with deep learning algorithm,equipment fault early warning,construction site monitoring and emergency command are realized.The case study shows that this technology has obvious advantages in fault diagnosis accuracy,illegal behavior identification and potential safety hazards discovery,which can effectively improve the safety management level of photovoltaic engineering.
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