| Transmission tower is an indispensable key link in the construction of power grid,which is fully affirmed by the national "12th five-year" power grid development plan.Transmission towers have traditionally been monitored by state grid employees on a regular basis.However,this method cannot timely feedback the damaged state of the transmission tower.Therefore,it is very important to optimize the wireless sensor network and monitor the voltage,current,temperature and other parameters of the transmission tower in real time.The strong electromagnetic environment around the uhv transmission line affects the performance of the sensor and the reliability of data transmission.This graduation project is based on the research on the intelligent information diagnosis technology of uhv long-span transmission tower health monitoring system of GuoDian group.In this paper,the ultra-high voltage transmission tower of 1000 kv in southeast jin-nanyang to jingmen is taken as an example to calculate the electric field intensity distribution along the path of the ultra-high voltage transmission tower body under different circumstances and analyze the factors affecting the electric field distribution.The results show that the distribution of electric field intensity in the tower path is greatly affected by the arrangement of uhv transmission lines,the height of phase conductors on the ground,the distance between conductors and the number of subconductors splitting,while the distribution of electric field intensity in the tower path is almost unaffected by the radius of subconductors.Then the finite element software ANSYS is used for modeling and simulation to calculate the electric field intensity distribution along the external path of the uhv transmission tower and verify the comparison with the theoretical calculation results.The results show that the theoretical calculation results and ANSYS simulation results are within the allowable error range,and the validity of the simulation is verified.Finally,the failure model of wireless sensor on the tower is established by using BP neural network,and the influence of electric field intensity on the reliability of wireless sensor data transmission is studied through the simulation calculation of NS2.Based on this,the optimal position distribution of the wireless sensor is given,and finally the optimal position distribution is verified by field measurement. |
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