The invention discloses a fault diagnosis-oriented multi-platform collaborative rapid development method and
system for a digital twin
system of a die-
cutting machine, and belongs to the technical field of digital and intelligent operation and maintenance of
industrial equipment. The invention provides a cross-platform and staged collaborative development scheme aiming at the problems of contradiction between
engineering precision and visual effect, difficulty in high-speed movement synchronization, low development efficiency and the like in digital twinning development of complex
mechanical equipment in the prior art. The method comprises the following steps: firstly, completing high-precision parametric modeling and
kinematics simulation of a mechanism on a first
engineering design platform, and exporting pre-calculation mapping relation data of a core motion part; then carrying out lightweight
processing on the model on a second three-dimensional
processing platform, and constructing a program-driven controller hierarchical skeleton; and finally, on a third
Web visualization platform, based on pre-calculation data and real-time sensor input, driving the model through an efficient table look-up and interpolation mechanism to realize high-fidelity synchronization. The
system integrates state mapping and history playback functions, and provides a visual and efficient
visual interaction basis for fault diagnosis and
predictive maintenance. According to the method, professional advantages of all platforms are effectively integrated, and the development efficiency, the motion precision and the real-time performance of the digital twin system are remarkably improved.