Design of online open channel flow monitoring system based on LSPIV

With the change of global climate in recent years, the risk and harm of flood disasters are gradually increasing. Long-term monitoring for prediction and assessment of them open channels is very necessary. Nowadays, hydropower stations often bear more flood discharge costs to help the downstream avoid risks, but there is a lack of a scientific method to evaluate the cost of flood discharge. Large-scale particle image velocity (LSPIV) has qualified for flood prevention, assessment, and the potential of hydropower station water flow measurement, because now the demand is increasing and the existing open channel measurement techniques, such as Acoustic Doppler current profiler (ADCP) cannot be successfully completed survey work in the flood condition. And the development of LSPIV is rapid. The integration technology and calibration method of LSPIV equipment are rapidly evolving, such as fixed LSPIV, LSPIV with unmanned aerial vehicle (UAV) system, tracer particles of environmental protection materials and unseeded LSPIV, which have been described in typical articles in the past 20 years in this paper. And this paper gives an overview of them. Based on the above, we design an online flow velocity monitoring system of LSPIV that is easy to install, low power consumption, high cost performance and wide application range. Our research will be carried out from three aspects: hardware design, software algorithm and calibration method. Moreover, this scheme will be compared and analyzed with existing schemes in the paper, so as to appear the advantages and disadvantages of LSPIV and put forward a reasonable prospect.