Optimized Design Method Of Periodic Polling Table In Multifunction Vehicle Bus

With the rapid development of computer technology, network control and field-bustechnology, the development of high-speed trains bound towards more and more automated,therefore, the train control network as the primary tool to connect intelligent devicesthroughout the train, its the main structure consists of two parts: Wire Train Bus (WTB)connected between the train and MVB(Multifunction Vehicle Bus) connected devices in thevehicle.Train communication network standard IEC61375-1was developed by the IEC, In thetransmission of information and resource sharing for train status, detection and control, aswell as the operation of the real-time, safe operation and other aspects is morecomprehensive and reliable, So train communication network is an important factor inperformance of the train, it is also a core part of the modern train technology.This thesis is based on the periodic polling table in multifunction vehicle bus, analyzesthe protocol algorithm for periodic polling table defects and deficiencies, proposed graduallyfill in the blank method and ant colony optimization algorithm to construct periodic pollingtable, compared with protocol algorithm from the uniformity and utilization, Therefore, weselect the same device port, in the gradually fill in blank algorithm, we calculated width,height, and steepness after optimized periodic polling table, and compared with protocolalgorithm of the utilization of simulation graphics, we can be drawn gradually fill in blankalgorithm to configure periodic polling table was superior protocol algorithm.Similarly, weselect the same port using ant colony algorithm to configure periodic polling table,wecalculated width, height and steepness of periodic polling table and simulation graphics, wecompared with gradually fill in blank algorithm and protocol algorithm,come to its simulationgraphics of utilization, and data from the graphics, we can see that ant colony algorithmconstructed the periodic polling table is far superior to the first two algorithm in terms ofuniformity and utilization.