Introduction to Total Station 2 .

Mondo Technology Updated on 2024-01-29

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Fourth, the common brand of total station

There are many brands of total stations, and foreign brands mainly include: Leica (Switzerland), Topcon (Japan), Trimble (Tianbao), Pentax (Japan), etc.

The main domestic total station brands are: Southern Surveying and Mapping, Bofei, Suzhou Yiguang, Zhonghaida, etc.

5. Total station related terms

1. Effective aperture:

Effective Aperture refers to the ratio of the maximum aperture diameter of the lens to the focal length, called "effective aperture", which indicates the maximum transmission of the lens and the maximum aperture of the lens. For example, if the maximum aperture diameter of a lens is 25 mm and the focal length is 50 mm, then there is 25:50 = 1:2. That is to say, the focal length of the lens is twice as long as the aperture, and the aperture is 1 2 of the focal length, and the effective aperture of this lens is 1:2, also known as f2 or f2.

2. Field of view:

In optical instruments, the angle formed by the two edges of the maximum range of the lens through the lens of the optical instrument is called the field of view. As shown in the figure below:

3. The meaning of the accuracy of the instrument in a few seconds:

1. Error in the observation of the direction of measurement. Represents the angular accuracy of this instrument. It can be judged by the instrument model, and can also be identified by the parameters provided by the manufacturer, but the most accurate is to send it to the local surveying and mapping instrument quality inspection center for verification. Typically, total stations are marked with a 2x error.

Medium error is a numerical measure of the accuracy of an observation, also known as the root mean square deviation. The square root of the square mean of a set of true errors under the same observation conditions. Because the true error is not easy to find, the observation correction obtained by the least squares method is usually used instead of the true error. It is the square root of the square of the deviation of the observation from the true value and the ratio of the number of observations n.

The medium error is not equal to the true error, it is only a representative value of a set of true errors.

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