In recent years, power grid voiceprint monitoring technology has been widely applied and developed in the power industry. This technology mainly collects the acoustic signals generated during the operation of power equipment and uses voiceprint recognition technology to analyze these signals, thereby achieving monitoring of equipment status and fault diagnosis.

The research on intelligent IoT voiceprint monitoring mainly involves the use of voiceprint recognition technology to achieve intelligent perception and processing of sound signals, in order to realize real-time monitoring and management of environmental or device status. The research content in this field is extensive, including theoretical research on voiceprint recognition technology, algorithm development, system design, and its practical applications in different scenarios.

Utilizing acoustic technology to monitor and diagnose rail transit systems to improve operational safety and efficiency. With the rapid development of urban rail transit, issues of noise and vibration in rail transit have increasingly attracted attention, which not only affects passenger comfort but may also have negative impacts on the surrounding environment. Therefore, developing effective acoustic monitoring technology is of great significance for enhancing the performance and safety of rail transit systems.

Research on voiceprint monitoring in the energy industry mainly focuses on fault diagnosis and condition monitoring of electrical equipment, using sound signals to identify the operating status and potential issues of the equipment. In recent years, with the development of artificial intelligence and data-driven technologies, the application of voiceprint monitoring technology in power systems has significantly improved.

The research on general industrial voiceprint monitoring mainly involves monitoring the health status and fault warning of industrial equipment through voiceprint recognition technology. In recent years, with the development of artificial intelligence and deep learning technologies, voiceprint monitoring has been widely applied in various fields such as power transformers, gas-insulated switchgear (GIS), and mechanical equipment.