Research On Anti-collision Algorithm Of Monitoring Signal Based On RFID Wireless Monitoring System Of Substation

With the development of Internet of Things technology,smart grid construction has gradually become the trend of future power grid development,in which the construction of Smart Substation is the goal of substation link.At present,most of the signal monitoring in mountain substations still use wired monitoring,which is not only cumbersome wiring,high cost,difficult to construct,but also easy to cause various kinds of faults by collecting information manually.The existing on-line monitoring devices are not ideal,and there are some shortcomings,such as lack of monitoring data and low fault detection rate.Therefore,this paper combines the characteristics of Internet of Things RFID technology with the actual situation of mountain substation,carries out feasibility analysis from many aspects,and constructs the radio monitoring system of mountain substation.In this system,because of the collision between sensor tags in the identification process,a large number of monitoring signal recognition failures can not guarantee the reliability of the monitoring system.The traditional ALOHA anti-collision algorithm has two drawbacks: one is low throughput,the other is that with the continuous increase of the number of monitoring signals,the throughput will eventually tend to zero and lose the recognition function.Aiming at these two problems,this paper focuses on the optimization of ALOHA anti-collision algorithm.Firstly,four traditional ALOHA anti-collision algorithms are simulated and analyzed in this paper.After getting the defects of each algorithm,based on frame slot ALOHA algorithm,considering the low throughput of the algorithm,multi-antenna reader is used to realize parallel recognition,so as to improve the throughput of the algorithm.In the same slot,the tag that sends the recognition request to the reader is a mixed signal.Therefore,ICA fast algorithm is used to pre-process the mixed signal and get the de-mixing matrix.Each independent tag coding signal is extracted from the mixed signal,which realizes the single slot parallel recognition and effectively improves the throughput.Finally,in order to solve the problem that the throughput will eventually tend to zero,sensor tags are grouped on the basis of the previous algorithm,and throughput changes along the upper envelope trajectory of the throughput overlap curve under all frame lengths in one grouping period,as a new cycle curve trajectory.The simulation results show that the throughput of parallel recognition ALOHA algorithm not only improves greatly after frame length adjustment optimization and periodic grouping,but also maintains a high throughput level with the increase of monitoring signals.In a recognition cycle,the throughput level of 98.7% sensor tags can be above 90%.Finally,the improved frame slot ALOHA algorithm improves the throughput,solves the problem of signal collision in the framework of ALOHA wireless monitoring system in mountain substation,provides guarantee for the follow-up efficient transmission and processing,enables the substation monitoring information to be found and processed in time,and ensures the safe and stable operation inside and outside the station.