Research On Collision Detection And Dynamic Control Method Of Digital Twin Model In Circuit Breaker Inspection Line

With the gradual development of the new generation of information and communication technologies such as data mining,machine learning and the Internet of Things,enterprises in various countries integrate the new generation of information technology into the traditional manufacturing production line,and promote the development of traditional manufacturing industry to informatization and intelligence.Driven by the new generation of information technology and manufacturing technology,digital twin workshop is a new workshop operation mode that realizes the optimal production and control of workshop through the faithful mapping and interactive integration of entity workshop and virtual workshop.It has been widely studied and concerned by academic researchers and manufacturing enterprises in various countries.Aiming at the problem of insufficient collision detection accuracy and dynamic control effect of twin model in digital twin workshop system of circuit breaker detection line,a new twin model modeling and control method is proposed to improve the collision detection accuracy and dynamic control effect of digital twin model.On this basis,the design and development of digital twin workshop system of circuit breaker detection line is realized,which is beneficial to the enterprise to improve the information control and management of manufacturing process and production efficiency.The main research work and innovation are as follows:(1)The research and application of digital twin workshop are carried out for the entity workshop of circuit breaker detection line.According to the production process of the entity workshop of circuit breaker detection line,the overall framework of digital twin workshop is constructed.Three key technologies,such as digital twin model for real-time mapping with entity devices,data transmission system and twin data-driven workshop service system,are studied to further realize real-time control and decision optimization of digital twin workshop of circuit breaker detection.(2)In order to improve the accuracy of twin model collision detection,a twin model collision detection method based on dynamic octree and multi-layer directional bounding box is proposed.The hierarchical traversal mode of multi-layer directional bounding box and multi-layer directional bounding box in the upper,middle and lower layers of circuit breaker is established,and the collision direction of circuit breaker twin model is screened to reduce the number of collision separation shaft detection.Based on the digital twin workshop of circuit breaker detection line,this chapter verifies the proposed collision detection algorithm from the two indicators of collision response time and collision detection accuracy.The collision response time is reduced by 15 % at most,and the collision detection accuracy is improved by 96.26 %.(3)Aiming at the problem that the dynamic control effect of the twin model is not accurate and its production process relationship,a dynamic control method of the twin model based on the beat constraint is proposed.The dynamic modeling of the twin model considering the production beat is carried out.By loading the driving force,switching and controlling the motion logic,the twin mapping of the running state of the detection line workshop under fixed and flexible beats is realized,and the twin workshop of the circuit breaker detection line is verified.(4)In order to reduce the computational burden caused by collision detection and excessive number of models,a new fast rendering method of fine-grained view frustum culling for digital twin model based on parallel computing framework is proposed.A parallel computing framework is built in the general graphics processor for parallel computing of view frustum culling and operation.In addition,the existing coarsegrained visual cone elimination method is optimized,and a fine-grained visual cone elimination algorithm is proposed,which can help greatly improve the rendering efficiency of the model,and experimentally verify this scheme.(5)Through the above innovative work and technical realization,this thesis verifies the motion stability of the dynamic control method considering beat constraints,which effectively improves the smoothness and reliability of twin system operation.By validating model rendering methods with CPU performance,GPU performance and rendering frame rate performance,CPU and GPU time were reduced by 26.52% and25.51%,respectively,and the rendering performance of twin systems was improved by 28.35%,which improved the rendering quality of digital twin models.