Study on Grid Mean Free-air Anomaly Algorithm and Development of Gravity Measurement Software |
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Author | ZuoZhiChuang |
Tutor | WangQingBin |
School | PLA Information Engineering University |
Course | Geodesy and Survey Engineering |
Keywords | Relative gravity measurements The grid average space is abnormal Least Squares Collocation BP neural network Weighted interpolation Indoor and integration |
CLC | P223 |
Type | Master's thesis |
Year | 2010 |
Downloads | 54 |
Quotes | 0 |
Earth's gravity field reflects the spatial distribution of the Earth substances, the basic physics of movement and change field. Relative gravity measurements to obtain the traditional method of gravity data in the Earth's gravitational field, is the most basic method, it can quickly get the ground gravity data of discrete points, in turn, can get discrete points of space, and then interpolating the measurement area must distinguish abnormal rate grid space. Grid average space anomalies are widely used to restore the Earth's gravity field model, the deflection of the vertical, the disturbing potential height anomaly. This paper tightly around the the abnormal relative gravity measurement data acquisition and processing as well as the grid average space carried out research work, its main research content and innovation: 1, in-depth study of relative gravity measurements of field data collection and processing theory, and use it as based on the design and research of gravity measurement software, the first object-oriented programming approach developed the gravity measurement software Gsurvey1.0 functional classification and profiling has two sets of versions of the software, run on WindowsXP operating system and operating systems Windows Mobile5.0. The achieved relative gravity measurement data acquisition and processing automation Gsurvey1.0 make up our military surveying and mapping lack of troops in the field. 2, in-depth study of a variety of numerical interpolation and fitting algorithm, BP neural network is introduced and used to calculate the average grid space anomaly. Found by simulating data test, BP neural network is used to calculate the average grid space anomalies variance can reach 2.950 mgal, significantly better than traditional algorithms 7.470 mgal. 3, based on a small area within the space abnormal elevation to improve the traditional weighted interpolation algorithm, weighted against height difference algorithm and inverse elevation difference squared weighting algorithm used to calculate the average grid space anomaly. Found by simulating data test elevation difference weighted algorithm indirect method, the mean square error of 2.579 mgal than traditional algorithm accuracy; compared to the direct method of anti-height difference squared weighted algorithm and other numerical algorithm can effectively control the maximum error and its control in less than 8.586 mgal, the mean square error of 3.004 mgal. Measurement operating mode for the current surveying and mapping of our military forces of gravity, proposed a new model for the gravity measurement operations, and in accordance with the new model redesign based network synchronization observed relative gravity measurements inside and outside the industry integration software, the core idea is the whole average relative gravity measurement data acquisition and processing and computational grid space anomaly algorithm fusion together, in accordance with the function is divided into two parts of the client and is responsible for data acquisition data output server, and draw a detailed flow chart data flow diagram.