Research On Image Monitoring Method Of Transmission Line Galloping Based On FPGA

The galloping of the transmission wire is a large amplitude and low frequency self-excited vibration phenomenon caused by the wind excitation of the guide wire under the condition of ice running.The destructive power of galloping transmission wires is huge,and in severe cases,it will lead to accidents such as broken strands and tower collapses.The traditional image dance monitoring method refers to the installation of cameras on the transmission towers,first to shoot the video of the line operation,and then to transmit the video data to the remote computer,and the computer obtains the operation parameters and status of the line through calculation.It is inconvenient to transmit and process data.Based on this,this paper proposes a transmission line galloping monitoring method with FPGA as the core and target detection as the means.On the basis of the existing tower pole monitoring equipment,the image acquisition and processing are integrated in the monitoring terminal,which provides a new idea for solving the above problems.The monitoring method locates the position of the high-altitude galloping monitoring target point through the image recognition algorithm,and reduces one frame of complete image data to only need to send 64-byte coordinate data.The recognition accuracy of a single motion recognition algorithm is insufficient.After further analysis of the line dancing environment in Beijing and exploration of the target recognition algorithm,this paper proposes a dancing target recognition and detection method based on the "motion" and "color" features of FPGA.In order to realize the function of target detection in FPGA,an image processing module and multiple FPGA bottom-level driver modules are designed using Verilog language in software.The image processing module can implement image algorithms such as image format conversion,motion recognition,color recognition,morphological filtering,and target indication.The four-port ping-pong storage algorithm and asynchronous FIFO are used to solve the problem of cross-clock domain and data storage.A hardware platform with functional interfaces such as image acquisition,storage,display,climate monitoring,and 4G communication is designed with FPGA as the main control chip.In order to overcome the influence of bad weather on the galloping monitoring effect,the designed galloping target monitoring points have obvious color characteristics in each weather environment;the specially designed mechanical structure can keep the movement of the line consistent.By analyzing the distribution law of color components in each lighting environment,a reasonable color recognition threshold is given.The dancing simulation experiment is carried out,and the experimental results show that it has a good effect of dancing target recognition in various weather environments.The galloping motion waveform,amplitude,frequency and other information can be obtained by analyzing the coordinate data of the galloping monitoring target point,which verifies that the method proposed in this paper can realize the galloping parameter monitoring function.