ARCNET网络诊断方法及主要性能分析
[Abstract]:Communication network is an important part of industrial automation system. It is the transmission medium of operation parameter information, equipment control information, fault alarm information and maintenance information in the system. The ARCNET network designed in this paper is based on the automatic intelligent spinning machine system. The system is composed of multiple embedded systems, each system has more than two different communication networks, including ARCNET,CAN,ARBUS and so on. Among them, ARCNET network adopts the optimized token transmission mechanism, and has many good performances suitable for industrial control field, including high reliability, high communication speed, time predictability and long transmission distance. The advantages of flexible networking and simple network operation are ideal fieldbus technology, which is especially suitable for the system that needs marshalling and scheduling. First of all, through the analysis of the ARCNET network information transmission mechanism, according to the physical layout of each system node in the whole automatic intelligent spinning machine, and considering the comprehensive factors of delay and transmission distance, The bus / star hybrid topology is chosen as the networking mode. Secondly, the ARCNET network occupies the physical layer, the data link layer, the application layer of the OSI model, according to which the network nodes of the ARCNET are designed. The data link layer control and application layer in ARCNET network are realized by software design. The ARCNET network diagnosis software is designed to check the running state of the network, and to deal with the faults in order to ensure the normal communication of the whole network. At the same time, the software design also includes ARCNET and CAN protocol conversion part, combined with CAN protocol analyzer to realize the main functions of ARCNET protocol analyzer in a specific application environment, used to diagnose the ARCNET network and test the main performance parameters in the system. Finally, the data waveform measured in the field is compared with the theoretical frame format of ARCNET protocol, and the main performance of the ARCNET network is evaluated. At the same time, the system delay is calculated and tested. The field test results show that the network composed of 9 single nodes of the automatic intelligent spinning machine system based on ARCNET network can work stably in the industrial field, and realizes the system operation parameters, equipment control information and fault alarm information. Maintain the transmission of information, fully meet the design requirements.
【学位授予单位】:西安石油大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TP273
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