Transmission lines in Sichuan area play an important role in electric power system. Due to frequent geological disasters mainly based on landslide in Sichuan area, transmission towers will suffer from tilted, uneven subsidence and horizontal sliding due to ground deformation, which directly endangers the safety of power towers and stable operation of line. Therefore, it is of great significance to study the influence of surface deformation on transmission tower construction and operation under complex surface conditions. In view of the complex terrain conditions in Meigu County, Liangshan Yi Autonomous Prefecture, Sichuan Province, this paper adopts the time-series InSAR deformation monitoring technology, and calculates the SBAS-InSAR deformation rate and deformation time series on the basis of data preprocessing and differential interference processing, and obtains the geocoding deformation monitoring results. According to the deformation rate of the monitoring area, the deformation time series of the sampling point and the landslide hazard
KEYWORDS: Environmental monitoring, Data transmission, Data storage, Data acquisition, Inspection equipment, Data processing, Safety, Data analysis, Power grids, Analytical research
As an important part of the power transmission in the power system, the safety and stability of the transmission line directly affect the availability of the power system. With the continuous development of various industries, people's demand for energy is increasing, and the requirements for power supply reliability are also getting higher and higher. Transmission lines are an important part of the power system. Once a major power outage occurs, it will cause huge losses and inconvenience to the national economy. Therefore, the equipment and operation of transmission lines need a practical and effective management system to manage. Clearly, big data analytics has great advantages in this regard.
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