Research Of The CPⅢ Controlling Network Algorithm And Data Processing On Ballastless Track

The construction of high-speed railway is being in the period of comprehensivedevelopment in China. Because of high speed-railway has the higher speed, to keep thesmoothness of the train and ensure the comfort of the passengers, it requests more for the railof high-speed railway. The harshness of the rail depends on the track geometry, includingtrack gauge, track level, curve and so on. During construction, the containment of trackgeometry should be accomplished by the way of accurate survey technology and solution. Thefoundation piles control network is also regarded as CPⅢ control network which includeshorizontal control network and elevation control network. It plays a decisive role in thecontrolling track-laying. Therefore, data quality and observation methods will directly affectthe success of unballasted track laying process.Firstly his paper first introduces the basic knowledge including CPⅢ horizontal controlnetwork and CPⅢ elevation control network, for example, the option of requiring thecontrol points and measuring instruments requirements, observation methods and net shapeselection,indoor data processing principles and flow chart, data precision index of CPⅢcontrol network and so on.The control points of CPⅢ calls for high requirements. Net shapeis expressed by the Zonal distribution along the railway. In the time of observation, Using aunique method called free station linear angular intersection, when the Instrument can searchtarget and read automatic. CPⅢ horizontal control network is observed by the way of thering measurement method.In the CPⅢ elevation control network, the paper mainly derives the formulas for datahandling based on linear model. After building the error equation, the paper studies the fixedweight problem of the observed value. Based on this, According to the characteristics of thelinear model adjustment calculation, adopting program language is to realize CPⅢ horizontalcontrol network data adjustment. By measuring substitution of real measurement data, comparing and analyzing adjustment results and accuracy are to verify the linear modeladjustment. Analysis results show that using linear model to calculate actual measurementdata is entirely feasible. Compared to traditional nonlinear model, this new method neitherneeds to calculate the approximate coordinates nor to find optimal solution by repeatediteration, it also reduces workload during measurement adjustment. It has much applicationand research value as the same as the conventional nonlinear model, It has high practicalvalue. In the CPⅢ horizontal control network, use the ring measurement method, finishmeasured elevation data and carry out with the Power Adjust. Finally, the Analysis dataprocessing results by using CASS to draw a map of adjusted value. Complied with the actualrailway, It is proven further that the CPIII Controlling Network Algorithm and DataProcessing are reliable.