Abstract: In many large-scale storage yards involved in bulk material loading and unloading operations,the bucket-wheel stacker reclaimer is currently considered as the most ideal large-scale continuous operation machinery. In order to extend its service life,reduce maintenance costs,and solve the inconvenience of manual inspection,an intelligent health monitoring system based on a five-dimensional digital twin is proposed. The current working state of the stacker reclaimer is obtained by deploying fiber optic strain gauges and real-time operation data of the built-in motor on the machine′s exterior,and the data is transmitted to the internal information exchange communication network for separation,storage,and fusion processing. After eliminating the temperature compensation errors caused by mechanical fatigue of the dual-gauge system,a multi-data fused, three-dimensional stacker reclaimer digital health model is constructed,realizing intelligent prediction and three-dimensional monitoring of the health status of the stacker reclaimer. By installing and operating the entire system on the QL6000. 55 bucketwheel stacker reclaimer at the Qinhuangdao Port bulk mineral storage yard,the digitalization process of the material yard has been greatly promoted,the management mode has been changed,production efficiency has been improved,and economic benefits have been directly increased. The study results show that this system can reliably provide real-time working status of the bucket-wheel loader,has a certain early warning effect for basic fault types,reduces the labor and material input of stacker reclaimer maintenance,and provides a powerful reference for health monitoring of large-scale machinery mining area.

Key words: digital twin,stacker reclaimer,mining bulk material yard,smart manufacturing,fault detect