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Method Research And Program Design Of Control Network Adjustment In Railway Passenger Dedicated Lines Engineering Survey

Posted on:2013-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:T Y HaoFull Text:PDF
GTID:2230330374474672Subject:Road and Railway Engineering
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In recent years, ballastless track structure of the Railway Passenger Dedicated Line co-nstruction has entered a stable period of development in china. Ballastless track building successful is not only depend on a comprehensive line control network system to provide protection of measurement control, but olso need for an efficient precise adjustment of the data to provide a coordinate precision guarantee.In this paper, Based on the passenger dedicated line engineering control network of CPI and CPⅡ data adjustment method as the research content. First, established in two GPS data adjustment mathematical model, That is plane baseline vector for the observed values of two-dimensional constraint adjustment model and the plane coordinate difference of observation value of plane constrained adjustment hypothesis difference model. On two kinds of mathematical model calculation process were discussed in detail, and by two the advantage and disadvantage of the model carries on the analysis comparison. The paper concludes that the plane coordinate difference hypothesis observed values of two-dimensional constraint adjustment model is strict and integrity good conclusion, and ultimately identified as the program design using a mathematical model.On the existing passenger dedicated line engineering control network adjustment way:"sequential adjustment method" on the basis of theoretical analysis to put forward a new control network adjustment way:"net tegether adjustment method". This article starts from the determined weight, error propagation law analysis, precision analysis of three aspects of the two adjustment are analyzed and compared. In determining the weights, for "sequential adjustment method" are still using the traditional prior estimation of legal right; and for the"net tegether adjustment method", discussed with a posteriority estimation of baseline length and observation, the length of time with these two methods as the constant weight method. In the error transfer rules, first on the error transfer process to make the simple instructions. And then the error propagation analysis, comparison of two adjustment methods the observation error, with that the "sequential adjustment method" and "net tegether adjustment method" will reduce the CPI net precision, improve CPⅡ net precision conclusion. In the precision evaluation, separately to the baseline vector network three dimensional unconstrained adjustment and two dimensional constrained adjustment results are accuracy assessment, with period in program implementation and instance analysis phase. In order to the results of assessment, to determine the two adjustment means accuracy level.The use of adjustment procedures respectively in accordance with the"sequential adjustment method" and "net tegether adjustment method" to establish a group of simulation data are adjusted. Based on the results of precision evaluation and the weakness of error more visible, net adjustment income coordinate unit weight mean error is smaller than the sequential adjustment income value; for CP I network,"net tegether adjustment method ", from the single point coordinate error is larger than the largest "gradual adjustment method"; and for CPⅡ, the conclusion is just the opposite. This conclusion and the results of the theoretical analysis are consistent.According to the results obtained in this paper, using the "net adjustment method" to improve CPⅡ network exists possibility, further through optimizing adjustment model, perfect the adjustment procedure to find a can improve all levels of control network data precision adjustment method.
Keywords/Search Tags:The fundamental horizontal control network (CPⅠ), Railway line controlnetwork(CPⅡ), Sequential adjustment method (CPⅠ), Net tegether adjustment method
PDF Full Text Request
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