Abstract: Aiming at the prominent problems of large calculation errors, low design efficiency and poor economic performance in traditional manual preliminary selection of belt conveyors, an intelligent design system for preliminary selection of belt conveyors has been developed in accordance with GB 50431-2020 Technical Standard for Belt Conveyor Engineering. Core modules including parametric digital modeling, dynamic parameter verification and multiobjective optimization are integrated into this system. Supporting databases are established, covering property database of 32 types of typical industrial materials and a complete equipment component database. A dynamic correction algorithm for belt speed-angle of repose is innovatively introduced to realize automatic verification of design parameters such as belt width, filling rate and inclination angle for hundreds of belt conveyors, as well as accurate matching and selection of motors. Engineering applications show that the error of parameter verification is reduced to 0.5%, the efficiency of batch selection is increased by tens of times compared with manual design, and the average project cost of equipment is reduced by 10%. It effectively addresses the engineering dilemma that selection accuracy, efficiency and cost cannot be balanced in the bidding and tendering phase. The development of this system fills the gap of domestic preliminary selection systems for belt conveyors in the field of rapid engineering design, and provides an efficient and reliable technical tool for intelligent design of bulk material handling equipment.
王荣. 带式输送机初步选型智能设计系统及其工程应用[J]. 水泥技术, 2026, 1(5): 62-71.
Wang Rong. Intelligent Design System for Preliminary Sizing of Belt Conveyors and its Engineering Application. Cement Technology, 2026, 1(5): 62-71.
