| Title | Safety and Damage Assessment Method of Transmission Line Tower in Goaf Based on Artificial Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Hongbin, Z., Wei, W., Wengdong, S. |
| Conference Name | 2020 IEEE/IAS Industrial and Commercial Power System Asia (I CPS Asia) |
| Keywords | artificial intelligence, coal, coal mine goaf, coal seam, Damage Assessment, damage assessment method, damage identification, finite element analysis, finite element simulation model, Forestry, Foundations, geometric model, Goaf, mining, mining industry, operation safety, Poles and towers, power transmission lines, pubcrawl, random forest algorithm, random forests, reliability, resilience, Resiliency, Safety, structural engineering computing, structural reliability model, surface subsidence, tower collapse, tower foundation interaction, Transmission line measurements, transmission line tower, transmission line tower safety |
| Abstract | The transmission line tower is affected by the surface subsidence in the mined out area of coal mine, which will appear the phenomenon of subsidence, inclination and even tower collapse, threatening the operation safety of the transmission line tower in the mined out area. Therefore, a Safety and Damage Assessment Method of Transmission Line Tower in Goaf Based on Artificial Intelligence is proposed. Firstly, the geometric model of the coal seam in the goaf and the structural reliability model of the transmission line tower are constructed to evaluate the safety. Then, the random forest algorithm in artificial intelligence is used to evaluate the damage of the tower, so as to take protective measures in time. Finally, a finite element simulation model of tower foundation interaction is built, and its safety (force) and damage identification are experimentally analyzed. The results show that the proposed method can ensure high accuracy of damage assessment and reliable judgment of transmission line tower safety within the allowable error. |
| DOI | 10.1109/ICPSAsia48933.2020.9208404 |
| Citation Key | hongbin_safety_2020 |
Safety and Damage Assessment Method of Transmission Line Tower in Goaf Based on Artificial Intelligence