Large-scale particle image velocimeter based on near-infrared smart camera

Abstract

The invention discloses a large-scale particle image velocimeter based on a near-infrared smart camera, which belongs to the technical field of non-contact open channel current surveying. The instrument consists of a processor module, an image sensor module, an optical system, a network communication module and a power module, wherein the processor module takes a 32-bit fixed point DSP (digital signal processor) chip as a core to replace a PC (personal computer) to finish image collection and processing as well as data transmission; the image sensor module adopts a monochrome CMOS (complementary metal oxide semiconductor) image sensor of a digital interface; and the optical system consists of a double-filter switcher, an electric three-variable lens, an infrared LED fill light, a motor driving module and an illumination control module and is used for realizing the remote control of lower optical image under a near-infrared waveband or full-spectrum waveband. The instrument adopts an Ethernet transmission image, flow field data, a state information and control command conforming to an IEEE (institute of electrical and electronic engineers) 802.3 protocol, and the instrument and data transmission can share one cable by supplying power in a PoE mode. The large-scale particle image velocimeter has the characteristics of strong anti-jamming capability, high temporal-spatial resolution and flexible and efficient system.

Description

technical field [0001] The invention relates to an open channel water flow monitoring instrument, in particular to a large-scale particle image velocimeter based on a near-infrared smart camera, which belongs to the technical field of non-contact open channel flow measurement. Background technique [0002] Accurate flow velocity, flow field, time series information and high-resolution estimation of total runoff change rate during floods are important basis for the research of river hydrology, river geomorphology and river ecology. However, the water flow during the high flood period often has the characteristics of high sediment content, many impurities, and fast flow velocity, which makes the traditional current measurement instruments unable to measure normally. Large-Scale Particle Image Velocimetry (LSPIV) is a safe and efficient full-field velocity measurement technique. It uses the method of pattern recognition to match and track the water surface tracer in the undist...

AI Technical Summary

Problems solved by technology

These systems based on visible light imaging are difficult to meet the requirements of reliable, stable and continuous detection of weak tracers on the water surface in a complex optical environment on the water surface, and it is easy to cause excessive errors in the estimation of the flow field; There are deficiencies in integration and portability, which limit the promotion of LSPIV technology

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