Large-scale machinery monitoring system based on the visual reality

As the key equipment in port machinery, Large-scale machinery's (like gantry crane) safe and reliable operation will significantly influence on the safety operation of production. However, the limitations of traditional sensor, the diversity of failure and the complexity of expert knowledge used for mechanical fault diagnosis bring big challenges to online health monitoring and fault diagnosis of gantry crane. Fiber Bragg Grating (FBG) sensors have been successfully applied to the online health monitoring of larger-scale structures including bridges, dams, petrochemical equipment, etc. This paper implements the online health monitoring of gantry crane by employing FGB sensors to collect strain data of the key points in the steel structure of gantry crane. We have achieved the online monitoring the gantry crane under a virtual reality environment on the platform of Windows Presentation Foundation (WPF). Moreover, we have developed virtual reality system to study the establishing of 3D modeling and the dynamic monitoring of equipment. According the needs of users, this system could determine the health status of gantry cranes and foresee the security risks existing in the steel structures by stress analysis. In this way, the blind maintenance work can be reduced and the advanced predictive maintenance can combine with the technology of virtual reality to present a better monitoring result.