Intelligent assembly workshop quality prediction and control system and method based on digital twinning

Abstract

The invention belongs to the technical field of digital twinning, and particularly discloses an intelligent assembly workshop quality prediction and control system and method based on digital twinning. The system comprises a platform model building module, a real-time data collection module, a data processing center, an assembly dynamic simulation module, and an assembly abnormality detection module. The abnormity detection module comprises an assembly quality detection unit, a connection gap detection unit, a centrifugal shaking detection unit, an abnormal point marking unit and an abnormal reason inspection unit. The system and the method are scientific and reasonable, and safe and convenient to use; the abnormity detection module is used for carrying out multiple items of quality detection on an assembled finished product; the quality of the assembled finished product can be effectively ensured; and meanwhile, the abnormal point marking unit is used for marking an abnormal point, sothe time spent by the worker for checking the abnormal point is shortened; the abnormal reason inspection unit is used for displaying the reason of the abnormality of the assembly equipment; and thetime spent by the worker for checking the fault of the assembly equipment is also shortened.

Description

technical field [0001] The invention relates to the technical field of digital twins, in particular to an intelligent assembly workshop quality prediction and control system and method based on digital twins. Background technique [0002] Digital twin is a simulation process that makes full use of physical models, sensor updates, operation history, etc., integrates multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simulation processes, and completes the mapping in the virtual space to reflect the entire life cycle of the corresponding physical equipment. process. [0003] In the assembly workshop, the assembly equipment is used to assemble the parts after manufacture. After the assembly equipment is completed, the quality inspection of the assembled finished product is required. The usual quality inspection method is to conduct random inspection of the finished product. However, regardless of the finished product Which quality inspection meth...

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Problems solved by technology

[0003] In the assembly workshop, the assembly equipment is used to assemble the parts after manufacture. After the assembly equipment is completed, the quality inspection of the assembled finished product is required. The usual quality inspection method is to conduct random inspection of the finished product. However, regardless of the finished product Which quality inspection method to use, when there is an abnormality in the assembly equipment, it will cause quality problems in all finished products in the later stage, and all finished products after assembly need to be reworked and reassembled, which will waste a lot of manpower, material and financial resources. Manual abnormal inspection of assembly equipment will waste a lot of time and affect the efficiency of parts assembly. It is unrealistic to conduct quality inspection of each finished product after assembly for modern factory production. Therefore, people urgently need a digital-based Twin intelligent assembly workshop quality prediction and control system and method to predict and control the quality of parts assembly, timely stop the occurrence of abnormalities, respond to abnormal situations in a timely manner, and reduce the waste of manpower, material resources and financial resources

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