Riverway flow velocity video monitoring device and method based on deep learning

Abstract

The invention provides a riverway flow velocity video monitoring device based on deep learning. The riverway flow velocity video monitoring device comprises a monitoring terminal and a monitoring center. The monitoring terminal comprises an equipment box body, a support rod is arranged above the equipment box body, a monitoring unit is arranged at the upper end of the support rod, and a control unit, a power supply unit and a communication unit are arranged in the equipment box body; a beacon supplementing unit is also arranged in the equipment box body; the control unit is connected with themonitoring unit, the communication unit and the beacon supplementing unit, and the control unit is connected with a monitoring center through the communication unit; and the monitoring unit comprisesa monitoring camera arranged at the upper end of the support rod. The invention further provides a riverway flow velocity video monitoring method based on deep learning. By means of the riverway flowvelocity video monitoring device and method, normal work can be done at night and in heavy rain and heavy fog weather, work can be continuously done for a certain time under the condition that mains supply is interrupted, the accidental risk resistance is high, returned data can be compared with historical data in previous years, and a reference role is played for dispatchers.

Description

technical field [0001] The invention relates to the technical field of river flow velocity monitoring, in particular to a deep learning-based video monitoring device and method for river flow velocity. Background technique [0002] The 21st century is a new century of rapid development of informatization, networking, digitization and intelligence. The world-wide technological revolution and the wave of economic globalization have made all countries stand on the same starting line again and face new development opportunities and challenges together. "Digital city" is just at the forefront of this wave. The research on the theory and strategy of digital city construction is undoubtedly of practical significance and academic value. value. The digital construction of flood control command is one of the most important contents to promote urban informatization. With the continuous development of my country's economic construction and the rapid development of communication, comp...

AI Technical Summary

Problems solved by technology

[0003] The existing non-contact flow measurement technology includes radar, electromagnetic wave and image flow measurement technology. The image flow measurement technology can calculate the approximate river surface flow velocity based on the video taken by a temporary camera, and estimate the flow velocity at the bottom of the river according to the empirical formula, thereby estimating River flow, however, 1. The existing technology cannot meet the needs of night work and rainy and foggy weather work, and river floods are often accompanied by heavy rain, making it very difficult to measure river flow during the flood peak period, but the peak flow data at this time is extremely important. For It is of great significance to prevent floods and fight disasters and protect the safety of people's lives and property

2. The calculation speed of the existing technology is slow and cannot meet the needs of real-time calculation. River flood peak discharge data is of great significance for hydrological forecasting, which can enable decision makers to make judgments before dangerous situations occur, and win precious time for flood fighting and disaster relief

Moreover, decision makers cannot obtain the flood data of previous years and compare them with this one in the first place, that is, only the data has no reference, and cannot provide more powerful support for the judgment of floods

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