Liquid flow measurement method and device based on capillary interface optical tracking

By acquiring edge point cloud data of the gas-liquid meniscus in the capillary, performing circular fitting and geometric parameter calculation, and combining the spherical cap model for flow correction, the problem of low accuracy of capillary interface optical tracking method in ultra-micro liquid flow measurement is solved, and high-precision flow measurement is achieved.

CN122306174APending Publication Date: 2026-06-30CHINA JILIANG UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA JILIANG UNIV
Filing Date
2026-06-02
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In existing technologies, capillary interface optical tracking methods suffer from low computational accuracy in ultra-low liquid flow measurement. Especially under ultra-low flow rates in the nL/h range and dynamic changing conditions, the error introduced by meniscus deformation is difficult to ignore, resulting in inaccurate volumetric flow measurement.

Method used

By acquiring edge point cloud data of the gas-liquid meniscus in the capillary, circular fitting and geometric parameter calculation are performed to generate contact data, including contact angle and contact position. Combined with the spherical cap model, flow rate correction is performed to eliminate volume measurement deviation caused by meniscus deformation.

Benefits of technology

It significantly improves the accuracy and reliability of liquid flow measurement under ultra-low flow and dynamic changing conditions, can adapt to different wettability and flow states, reduces the relative error introduced by meniscus deformation, and meets the requirements of high-precision measurement.

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Abstract

This application relates to the field of micro / nano-scale flow measurement technology, and discloses a liquid flow measurement method and apparatus based on capillary interface optical tracking. The method includes: determining edge point cloud data of the gas-liquid meniscus in a capillary during a target detection period; performing circular fitting and geometric parameter calculation based on the edge point cloud data to obtain contact data of the gas-liquid meniscus; wherein the contact data includes the contact angle and the contact position between the gas-liquid meniscus and the inner wall of the capillary; and performing flow correction processing based on the contact data to determine the corrected volumetric flow rate during the target detection period. Its beneficial effect is that by using circular fitting and geometric parameter calculation to generate contact data including the contact angle and contact position, the deformation state of the meniscus is quantified, effectively eliminating the volume measurement deviation caused by the meniscus cap deformation, and significantly improving the accuracy and reliability of liquid flow measurement under ultra-low flow and dynamic changing conditions.
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