This project belongs to the technical field of road engineering. Road infrastructure is one of the important national assets to maintain the normal operation of modern society. The quality of its road surface affects social operation efficiency and public travel costs and feelings. For a long time, due to the wide distribution of road infrastructure and heavy traffic load, its detection data coverage is low, update time is extended, the overall management and maintenance plan is not optimized, and maintenance timing is inappropriate. In the past ten years, the scale of investment in road facility maintenance in my country has grown by more than 350%. The era has arrived, and the intelligent work of road facility maintenance, transportation and management is facing huge challenges. In response to the above problems, the project team has made breakthroughs in bottleneck issues such as pavement damage evolution mechanism, pavement multi-dimensional high-frequency detection, and intelligent maintenance analysis and decision-making after years of joint research, and established a multi-dimensional high-frequency maintenance big data intelligent analysis technology system. The main innovative results are as follows: (1) It reveals the intrinsic evolution mechanism and characterization relationship of apparent pavement damage. Facing the damage development process of asphalt pavements, a multi-scale linkage analysis method for asphalt pavement crack growth is established based on CT and 3D reconstruction technology, and the evolution mechanism from micro-crack initiation to macro-crack generation is analyzed. A fast multi-pole boundary element method is constructed. The full-frequency domain vibration wave transmission response solution method analyzes the coupling mechanism and vibration wave transmission behavior of vehicle-road vibration; The distribution modes of road surface damage and temperature field are cluster analyzed, and a holographic characterization method for road surface irregularities, road surface deformation and damage is established. (2)We have independently developed high-frequency inspection equipment for lightweight pavement performance. Based on the coupling mechanism of vehicle-road vibration, a distributed sensing system based on MEMS micro vibration sensors has been independently developed to realize lightweight multi-site vehicle data collection and accurate analysis of road irregularities; hardware design and digital sampling technology based on high-performance SOC, Develop an intelligent frequency conversion vibration collection module, which breaks through the problem of uniform spatial sampling at different speeds in complex traffic environments; An infrared-gray binocular vehicle-mounted imaging mode has been built, and a low-power vehicle-mounted processing system that supports AI algorithms has been developed to realize real-time analysis and high-frequency use of high-definition road images. (3)A road facility big data management system and intelligent analysis platform integrated with cloud edge have been created. For the hybrid sensing system for pavement performance sensing, innovatively build a cloud-edge fusion big data management architecture to achieve efficient on-site processing and cloud fusion management of hundreds of gigabytes of daily maintenance field data; based on high-precision spatial location and road surface damage morphology feature matching, complete the restoration and splicing of full-width pavement image; establish a time-series tracing method for natural pavement damage, support in-depth mining of road facilities big data and data-driven performance prediction. The results of this project have obtained 5 PCT international patents, 15 authorized China invention patents, 6 utility models, and 8 software copyrights; published 67 academic papers, including 42 SCI papers, 2 highly cited papers on ESI, 12 conference reports, and 528 cumulative citations from Google Scholar; participated in the compilation of 2 industry standards and 1 local specification. The project appraisal opinions and level search conclusions show that it has generally reached the international leading level in technical fields such as high-frequency detection of pavement performance and intelligent maintenance. The engineering technology system ldquo; high-frequency inspection + big data intelligent decision-making rdquo; proposed in the project research has been widely accepted by the industry. It has been applied on a large scale in more than 4500 kilometers of road network in Shanghai, a megacity, and has been used in more than ten provinces and cities across the country. It has been promoted and applied in more than 2000 kilometers of expressways and 3500 kilometers of other roads, and has also supported major engineering projects such as the Hong Kong-Zhuhai-Macao Bridge and Xiongan New Area. Within three years, it has driven an additional output value of 496 million yuan and a profit of 53.85 million yuan, effectively promoting the technological progress of intelligent road facility maintenance equipment and management systems, and achieving huge social and economic benefits.