The progress and development of society has increased the consumption of energy,and electric energy has become the main energy for social development.As an important unit of power grid transmission and distribution,high voltage transmission line carries the important task of regional power grid power supply.Once the operation failure occurs,it will lead to a wide range of blackout accidents.The existing high-voltage transmission line condition monitoring system has high cost and complex deployment and use,which can not meet the construction requirements of "three types and two networks" proposed by the State Grid.Aiming at the construction requirements of ubiquitous power Internet of things and strong smart grid,this paper studies the three key technical problems of heterogeneous network architecture,data compression transmission and complex environment adaptation in the current transmission line condition monitoring based on wireless sensor network,aiming at solving the problems of high transmission delay,short working life and low cost in the transmission line condition monitoring system In order to solve the problem of blind area of communication coverage in mountainous areas,the reliability of on-line monitoring system of transmission line condition is improved.The main work is as follows:(1)According to the distribution characteristics of transmission line linear topology,this paper analyzes the communication performance of various wireless transmission modes in wireless sensor network,and proposes a variety of heterogeneous network architectures for transmission line condition monitoring.In order to make the heterogeneous network meet the demand of low delay system of State Grid,this paper establishes the transmission delay model and network cost model of heterogeneous network sink node.By analyzing the delay performance of the proposed heterogeneous network architecture under the cost constraint,the lowest delay heterogeneous network architecture of transmission line is obtained.In order to improve the robustness and overall survival time of wireless multi hop transmission in heterogeneous network,this paper designs the mathematical model of heterogeneous network architecture,and proposes the optimization scheme of sink node setting and wireless transmission grouping,which realizes the balance between delay and cost of heterogeneous network architecture of transmission line,and improves the reliability of heterogeneous network data transmission.(2)In order to solve the problem of data accumulation caused by massive sensor data in transmission line condition monitoring system,this paper analyzes the type and amount of data in heterogeneous network of transmission line,and deeply studies the data compression algorithms for wireless sensor network at home and abroad,and proposes an efficient lossless compression algorithm for sensor data in linear heterogeneous network of transmission line.By combining wavelet correlation analysis and neighborhood index sequence coding,the proposed compression algorithm can achieve high compression rate and has strong robustness to packet loss.(3)In view of the difficulty of condition monitoring and maintenance of transmission lines in remote mountainous areas,a long-term condition monitoring scheme of transmission lines in mountainous areas based on Lo Ra is proposed.According to the analysis of path loss model and the requirements of energy consumption and delay,a transmission line condition monitoring architecture based on Lo Ra and cellular mobile network is designed.According to different failure rates,three monitoring periods of transmission lines in mountainous areas are proposed,and then the multi-objective particle swarm optimization algorithm is used to optimize the energy consumption and delay of the monitoring system,and the working modes suitable for the three monitoring periods are obtained.The condition monitoring scheme of transmission line in mountainous area designed in this paper can solve the problem of communication blind area of transmission line in mountainous area,and achieve lower energy consumption,prolong the service life of the system and achieve long-term stable monitoring through multi-mode collaborative task. |