Design of Protocol Conversion Communication System for Massive Video Devices

Due to the differences between communication protocols of different video devices, the communication data transmission of device interaction is incomplete, so a communication protocol conversion system for mass video device interaction is proposed. DS80C320 CPU is used to realize communication specification conversion and serial communication, and SDRAM memory is used to convert virtual address into physical address to ensure data integrity and security. The reset circuit is designed with RCM5700 as the core to complete power-on reset, manual reset and periodic automatic reset. The classification model of deep convolution neural network is constructed, and the characteristics of video data are extracted and classified. Read that classified label, setting corresponding function codes, jud whether key information is randomly inserted or not, and realizing a data conversion protocol according to the function codes of the key information. The results of the example show that the maximum error between the accumulated data of the designed system and the actual data is 5bit, and the communication data can be completely transmitted with high conversion efficiency.