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With the rapid development of emerging technologies, such as cloud computing, big data, Internet of Things, artificial intelligence, fifth-generation mobile network (5G) technology, the construction of intelligent expressway systems has become a trend. Through the analysis of the intelligent expressway business and function, the overall architecture, technical architecture, and data architecture of this system are designed and presented in this paper. The design of the overall architecture describes the basis of intelligent expressway design and implementation. The technical architecture is the foundation of the overall architecture, making it with more complete functions, high security, and high feasibility. The data architecture helps to achieve effective data coordination through data standard management, resource monitoring, catalog management, metadata management, quality management, and security management.

This paper describes an integrated dynamic simulation and RPC (Remote Parameter Control) shaker test approach that accelerates product development of structural components. The simulation is based on the principle of random vibration and is used for optimizing the design in the early stages of the design process. Once the prototypes are built, RPC shaker test is used to verify the structural integrity of the optimized designs. The benefits of this integrated approach are demonstrated using a tractor seat development example. The simulation was able to pin-point potential failure locations and estimate the fatigue life. The design was optimized using only one design iteration.

Tractor cab interior noise has been predicted by using a numerical method whereby cab structural and acoustic characteristics are described, respectively, by finite element and boundary element models. The spectral vibrational data measured below cab isolation mounts is used as mechanical excitations to cab-mount system. Responses on each grid point are calculated in structural analysis and subsequently converted to velocity boundary conditions in acoustic prediction of interior noise. The analytical results match reasonably well with the measured regarding cab vibration and the noise level at operator ear. Panel contribution analysis is also performed to examine the relative importance of concerned portions of cab structure or enclosure.