Application research of intelligent monitoring technology for transportation infrastructure in smart city

Abstract

With the development of smart cities, the intelligentization of transportation infrastructure such as highways and highspeed railways connecting smart cities has become an inevitable requirement. However, influenced by factors such as geological conditions, precipitation, and construction techniques, slope collapses and landslides pose significant risks to urban and transportation infrastructure safety. To effectively prevent these risks from escalating into disasters that cause severe losses to people's lives and property, traditional measurement methods struggle to meet the operational requirements of infrastructure for "real-time perception, intelligent analysis, and rapid assessment." Based on new technologies like 5G, the Internet of Things, and measurement robots, intelligent monitoring technology has emerged as a novel solution for safety risk prevention. This technology integrates functions such as data collection, data transmission, data calculation and analysis, assessment, and forecasting, enabling intelligent prevention of risks throughout the entire lifecycle of slopes. Grounded in the context of smart city development, this study explores and practices intelligent monitoring technology for transportation infrastructure slopes, providing theoretical support and practical experience for its large-scale application.