Research On Overhead Transmission Lines Based On Internet Of Things And Positioning Technology To Prevent External Damage Of Mechanical Vehicles

As the main carrier of long-distance transmission of electric energy,the safety of overhead transmission lines directly determines the stability and reliability of electric power supply.Due to the scattered distribution of overhead transmission lines,wide coverage,large line spans,and generally erected in the suburbs,it is very difficult to operate and maintain,and is extremely vulnerable to external damage caused by natural and man-made disasters.In the accidents caused by external force damage to the line trip,the proportion of external force damage accidents caused by mechanical vehicles has been increasing.Such accidents usually make it difficult for the circuit breaker to reclose successfully,causing line outages,and seriously threatening the safety of the power grid.In summary,how to prevent mechanical vehicles from causing external damage to overhead transmission lines is a research topic of practical significance.This thesis studies how to prevent overhead transmission lines from being damaged by mechanical vehicles through early warning.The purpose is to warn drivers and power transmission management personnel before large mechanical vehicles cause external damage accidents to protect the safety of overhead transmission lines.This thesis proposes an improved early warning method for external force damage.The method is based on the application of vehicle positioning technology in preventing external force damage,adding a distributed database,three-region early warning algorithm and Internet of Things technology.The main work of this thesis is as follows:(1)Aiming at the current transmission line data protection barriers between the local transmission management offices of the power grid,a sensitive data storage model of the transmission line using a distributed database is proposed.It cleverly bypasses the protection barriers of transmission line data between provinces and cities,and realizes the interconnection and intercommunication of transmission line data.(2)Aiming at the problems of simple and rough division of early warning areas in traditional methods,and single early warning response,a three-area early warning algorithm is proposed.The algorithm finely divides the warning area according to the satellite positioning coordinates of the transmission tower,and designs a differentiated warning response plan according to the needs of the work of preventing damage from external forces.At the same time,this article establishes the pre-warning zone division rules applicable to all voltage levels.(3)Aiming at the problems of high cost of original method terminal equipment,complicated installation process,and low degree of automation,an early warning platform for preventing external force damage that combines the Internet of Things and positioning technology is proposed.At the same time,it is the first time to use smart phones as terminal equipment,and realize the interconnection between lines,vehicles and management personnel through the Internet of Things technology.Experimental results show that the method proposed in this thesis can accurately,efficiently and reliably generate warning signals against external damage to prevent large mechanical vehicles from damaging overhead transmission lines.This thesis provides a feasible new plan to prevent external forces from damaging the power grid.It can effectively reduce the time and economic cost of preventing external damage,and provide full-automatic,all-weather,all-regional early warning and monitoring.