High-speed maglev trains operate at rapid speeds and are more sensitive to operational environments and disasters along the route.In response to the stringent environmental requirements for high-speed maglev operations,this paper established a disaster monitoring and protection system tailored for high-speed maglev operational scenarios,based on existing rail transit disaster prevention systems.By comprehensively utilizing technologies such as big data,the Internet of Things(IoT),and image recognition,the system preliminary achieves monitoring and early warning for natural disasters as well as internal and external threats to the maglev system.
high-speed maglevdisaster monitoringoperation and maintenance
维普
万方数据
