Research Of Intellective Total Station's Dynamic Surveying & Data Processing Methods

The intellective total station is constructed with complex optical, electronical and mechanical parts, and gathered characteristically with high precision, automatization, and flexibility, so it is applied in dynamic surveying widely. The FAST 50M model introduced the feed support survey system made up of some intellective total stations to implement the real-time surveying. The theory of dynamic surveying came into being early, and had a long progress. But since now the theory of dynamic surveying is still not entirely mature. The total station's dynamic surveying theory study is one of the focus points now. The FAST 50M model has shown that the surveying precision and sampling rate of the total station surveying system can full the model need. When the surveying distance increases to 500M, the surveying error will increase sharply because of the dimensions increment, outside interference and the surveying time delaying and so on. So system analyzing, studying the surveying equipment and processing the surveying data real-time are very necessary.Considering all above, this dissertation chose the topic "Research of Intellective Total Station's Dynamic Surveying & Data Processing Methods", and the main research results were shown as follows:1) This dissertation compared the dynamic surveying performance of Leica TPS's total station, studied deeply the work principle and the function characters of the surveying equipment and analyzed the factors effecting surveying precision and its changing rules. And this dissertation experimented and analyzed the surveying rate and time delaying of the total station, tested the positioning error of 360°prism and gained the changing rules, and set up correction model to put down the effect of the positioning error.2) Aiming at the total station's dynamic surveying system, this dissertation brought forward the general dynamic surveying system error model, which deepened the error theory of the system and made the system become to be tested, and offered the cause of precision. Having analyzed and summarized the normal data processing methods, this dissertation gave one to process the dynamic survey data by using wavelet transformation and frequency analysis, and gain that TCA2003's motor had system error with the frequency 0.2-0.4 Hz when the cooperating target moving in low speed.3) Comparing quasi-real time and real-time dynamic surveying, and analyzing FAST feed support system's requirement, this dissertation put forward that the system request real-time error correction and position forecasting. The real-time surveying error was separated into system and random error. So this dissertation respectively built up the equal dimension dynamic grey model and autoregressive model, and the first model based on the standard value interpolation was studied particularly. Combining the total station dynamic surveying examining instrument, in the end this dissertation showed how to obtain the standard value and build up the grey sequence, establish and evaluate the model.