Visual Dynamic Monitoring and Simulation of Construction Quality for Replacing Column Mounted Transformers with Load
As an automation technology,the application of visual dynamic monitoring simulation in power engineering has become an important means to ensure the construction quality of on load replacement column transformers.Aiming at the problem of poor application effect of current simulation methods in practical engineering,which not only results in long system power outage time,but also low construction quality acceptance rate,this paper proposes a visual dynamic monitoring simulation for the construction quality of pole mounted transformers with load replacement.Based on the construction characteristics of replacing transformers on columns with load,a monitoring simulation plan is planned,and industrial cameras are used to capture construction behavior images.The threshold segmentation method is used to segment the construction behavior images,extract behavioral characteristics from the images,and use deep learning algorithms to simulate and analyze the construction quality.Illegal behaviors are identified,and warning and monitoring of illegal operations are carried out to achieve visual dynamic monitoring and simulation of the construction quality of replacing transformers on columns with load.After verification,the use of this method effectively shortens the continuous power outage time of the system,improves the construction quality and acceptance rate.
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