Abstract
This paper analyzes the safety and reliability problems of large precision instruments and equipment in highway transportation, aiming at reducing the vibration fatigue damage of equipment to the greatest extent from the perspective of road planning. Based on the dynamic response model of the equipment, the relationship between the ground spectrum response and the cumulative fatigue damage of the equipment is analyzed. Based on the method of probability and statistics, an equipment fatigue prediction model is established. Based on the study of the relationship between the roughness of pavement grade and the reliability of equipment, the low-risk path planning is proposed. This paper adapts the Dijkstra shortest path algorithm. Not only the basic information such as the length of the highway is considered but also the road factors related to the reliability of the equipment and the environmental factors affecting the driving safety are considered. Try to avoid the adverse environment which has a great impact on the reliability of the equipment, reduce the vibration fatigue of the equipment in the process of transportation, and improve the quality of transportation. Using geographic information system secondary development, database, global positioning system positioning, and other technologies, this paper provides users with the shortest path and low-risk path planning for reference, which has a certain practical significance for highway transportation of high reliability products such as vulnerable products, precision instruments, and special equipment.