Optimization and Application of Engineering Data Survey Based on Nonlinear Compensation Algorithm
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.234How to use a DOI?
- engineering data survey; information fusion; mapping; system design
- The effective engineering data survey algorithm is an important basis for engineering construction surveying, design, construction and management. In order to improve the survey accuracy of engineering data, the sensor survey method is researched, and the fusion detection and survey of engineering data is carried out. The traditional method used infrared and acoustic pulse detection method for frequency discrimination characteristic control and engineering data survey, when the engineering exploration stayed in a strong magnetic field, the engineering data survey curve achieved saturation, measuring performance is not good. An optimization method of engineering data survey algorithm is proposed based on nonlinear compensation control, and it is applied in the engineering surveying practice, quantitative analysis method is taken for realizing distributed engineering data survey nodes positioning and sensor information fusion, quantitative information fusion is taken in low dimensional state space, introducing end crosstalk sinusoidal pulse width modulation control of piezoelectric type permanent, and the magnetic detection circuit is designed, phase frequency characteristic survey method is presented. The system design is obtained. The adaptive noise cancellation method is taken for filtering, and the multi sensor data fusion filter structure model is designed. On the basis of the information distribution principle and nonlinear compensation, the fusion center is updated, and engineering data survey algorithm is improved. Simulation results show that, the engineering data survey algorithm is applied in the surveying and mapping of geographic Information calibration, the survey accuracy is improved, and the error is small, it has superior application performance in practice.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Nanyou Lu PY - 2015/04 DA - 2015/04 TI - Optimization and Application of Engineering Data Survey Based on Nonlinear Compensation Algorithm BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.234 DO - https://doi.org/10.2991/amcce-15.2015.234 ID - Lu2015/04 ER -