2016
DOI: 10.1007/s11018-016-0980-7
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Application of Feature Recognition to Hydrostatic Leveling Systems

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Cited by 8 publications
(2 citation statements)
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“…The liquid level in the HLS 1 and HLS 2 sensors was determined during the experiment using IP cameras with an accuracy of the order of 0.1 mm. The image recognition procedure is described in detail in our previous work 25 …”
Section: Laboratory Experimentsmentioning
confidence: 99%
“…The liquid level in the HLS 1 and HLS 2 sensors was determined during the experiment using IP cameras with an accuracy of the order of 0.1 mm. The image recognition procedure is described in detail in our previous work 25 …”
Section: Laboratory Experimentsmentioning
confidence: 99%
“…Hydrostatic Levelling System (HLS) 11 is already widely used in the field of settlement measurement such as monitoring of building foundation, 12 deformation monitoring of subway tunnels, 13 height measurement dam, 14 and high precision alignment of particle accelerator. 15 However, the traditional hydrostatic levelling system, developed according to the law of connected vessels, cannot completely overcome the inaccuracies caused by the curvature of earth, tide, evaporation of transmission liquid, et al 11,16 Additionally, the traditional hydrostatic levelling system needs to increase the size of sensor to meet the wide range measuring requirement for substructure settlement measurement of the highspeed railways among mountainous areas, which makes it inapplicable for the measurement of internal settlement of substructures. Su and Zhang 17 developed a new hydrostatic levelling system based on the principle that pressures of any two points at different elevations in incompressible static liquid are different.…”
Section: Introductionmentioning
confidence: 99%