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The influence of the number of channels received by distributed big data control is easy to produce asynchronous phenomenon, which leads to poor performance of channel control. System hardware: node processing module consists of FPGA chip and anti-jamming device; wireless communication module consists of RF chip and wireless transceiver; USB module consists of interface chip, register, memory chip and peripheral circuit. System software: the distributed big data multi-channel data storage and processing module is composed of synchronous storage data unit and data multi-channel real-time processing unit; the multi-channel parallel control module is mainly composed of multi-channel parallel management unit, multi-channel state scanning unit and generating data flow unit. Through the combination of hardware and software, the distributed large data multi-channel parallel control is realized. The experimental results show that the average transmission rate data of the distributed big data channel is more evenly distributed and maintained, and the performance is improved.