Research on Parallel Detection of Equipment Monitoring Signals of Substation based on Improved ALOHA-Algorithm

In order to solve the collision problem in the process of identifying a large number of monitoring signals when RFID wireless system is applied to the equipment monitoring of mountainous substations, the RFID wireless system architecture for equipment monitoring of mountainous substations is established. On the basis of the traditional frame-time slot ALOHA algorithm, a multi-antenna RFID reader is used to realize the parallel recognition of multi-signals in a single slot. Then the upper envelope of each throughput curve is taken according to the frame length N, and the frame length is adjusted at the intersection point. The signal flow is divided into groups, and the final algorithm flow chart is obtained. The simulation results show that the throughput can be improved up to 97.3% after parallel recognition, but the recognition rate S is limited by frame length N and signal number n; the recognition rate S can be maintained above 90% after frame length adjustment; and the recognition rate S at the tail of envelope can be reduced sharply with the increase of signal number n after periodic grouping. The simulation results show that the improved parallel recognition ALOHA algorithm not only improves the recognition rate, but also keeps a relatively stable recognition rate with the increase of the monitoring signal. The recognition rate is increased from 34% to 90% by the traditional frame-slot ALOHA algorithm, which greatly improves the monitoring signal of substation equipment. The probability of successful identification guarantees the safe and stable operation of mountain substations.