Xidian University

Xi'an University of Technology

Xi'an Heavy Equipment & Technology Co., Ltd.

Feng Ding

Jiandong Li

Min Sheng

Yan Shi

Di Zhou

Bo Yang

Weigang Bai

Haoran Li

Yan Zhu

Jianfeng Chen

Lianwei Zhou

Yali Wu

Dahao Wang

Zuohua Chai

Qixuan Cao

Xiaohui Zhao

A large-scale network node simulation method based on Linux container is provided, which solves problems of low packet transmission efficiency and multi-thread creation in real-time simulation in a large-scale network scenario. The method includes: scheduling all container nodes in a scenario; managing, by a container node, a dynamic thread through an idle thread management queue, and setting a finite state machine and a function pointer for the dynamic thread; registering, by a source container node, an output queue with a next-hop container node, and informing the next-hop container node to allocate a dynamic thread for receiving and processing the output queue. Packet transmission is realized between the container nodes through data units created in a shared memory. The sending thread and the receiving thread dynamically adjust the number of dynamic threads by checking the state of the output queue.

Network node simulation method based on Linux container

An optimization method for bending rebound quantity of aluminum roll forming includes the following steps: S, analyzing the process of aluminum roll forming, and determining decision variables of aluminum rebound quantity and thickness reduction; S, constructing the optimization model of the bending rebound quantity of aluminum roll forming based on the multi-objective optimization algorithm and clarifying constraints in the process of aluminum roll forming; S, based on characteristics of the model in S, proposing the corresponding algorithm to optimize the aluminum rebound quantity and thickness reduction; S, updating the decision variables that affect the aluminum rebound quantity and thickness reduction; S, judging the iteration stop condition, and outputting the scheme that improves the bending rebound quantity of roll forming aluminum. The optimization method solves the problem of large bending rebound quantity in roll forming technology, improves the accuracy of roll forming process and production efficiency, and enhances production flexibility.

Optimization method for bending rebound quantity of aluminum roll forming

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Xi'an, China

Feng Ding