Lean scheduling water regimen remote monitoring system based on machine vision and 4G communication technology

Abstract

The invention relates to a lean scheduling water regimen remote monitoring system based on machine vision and 4G communication technology. The lean scheduling water regimen remote monitoring system comprises front-end acquisition equipment, a data processing center, a communication system, a client mobile terminal and a management display, the system adopts a tree-shaped wireless network structure, and each leaf node is connected with one data acquisition terminal; the front-end acquisition equipment is in communication connection with the data processing center and the client mobile terminal through the communication system, and is used for receiving a water level image acquisition instruction sent by the data processing center and the client mobile terminal, acquiring and analyzing a water level image and returning an on-site image to the data processing center and the client mobile terminal; and the data processing center is also connected with the management display and is used for displaying data. According to the invention, non-contact acquisition is realized. A video acquisition method is adopted, so that the intelligent acquisition equipment does not need to be in contact with the water surface, and the defects of high mechanical failure, large nonlinear error and the like of traditional acquisition equipment are avoided.

Description

technical field [0001] The invention relates to the field of water level monitoring, in particular to a lean dispatching water regime remote monitoring system based on machine vision and 4G communication technology. Background technique [0002] In recent years, frequent natural disasters, severe weather such as typhoons and floods have brought severe challenges to the safety of the power grid, and have also brought certain pressure on the flood control benefits and safe and economic operation of Shuikou Hydropower Station. Reasonably improving the data information of the Shuikou Reservoir's water regime monitoring and reporting station, accurately measuring and calculating the water volume information entering the reservoir, and doing a good job in accurate forecasting and scientific scheduling of incoming water have become the top priority of lean management of reservoir scheduling. [0003] For a long time, the water regime monitoring and reporting system has collected da...

AI Technical Summary

Problems solved by technology

[0003] For a long time, the water regime monitoring and reporting system collects data on the spot through the float measurement method, and relies on 2G channel to transmit data, which has the disadvantages of high mechanical failure and large nonlinear error in typical contact sensors.

The outstanding problems of non-contact sensing methods represented by ultrasonic, radar, and laser are high cost, easy to be disturbed by the surrounding environment, and poor versatility.

Moreover, the common problems of using the above two sensing methods are that the transmission bandwidth is narrow, visualization cannot be realized, maintenance is inconvenient, and query is difficult. Especially when a sensor failure occurs, it cannot be intervened in time, resulting in the accuracy of measurement data cannot be measured

The lack of real-time, accurate, intuitive, and visual data acquisition brings difficulties to the emergency response to flood disasters and the long-term lean scheduling and management of reservoirs

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