Research On Mountain Fire Monitoring And Alarm Of Transmission Line Based On Satellite Remote Sensing

In recent years,the frequent occurrence of wildfires in our country has seriously threatened the safety of our natural resources and the safety of human life and property,and has damaged the ecological environment and ecosystem.Frequent wildfires have seriously affected the safe and stable operation of transmission lines,which has led to problems such as line trips.In the past mountain fire monitoring work,the monitoring staff carried out manual monitoring.This method consumed a lot of manpower and material resources and was very inefficient.Some traditional models based on satellite monitoring fire points also have low detection accuracy because satellite data is not updated in a timely manner and does not take into account issues such as the climate and environmental characteristics of the area to be monitored.In the research of tower alarms,the traversal algorithm commonly used now is to calculate the distance between the fire point and all nearby towers,and to perform alarm processing on the towers that are threatened.The efficiency of this algorithm is too low.For the fire spot identified by the satellite,the pole tower threatened by the fire spot should be found as soon as possible,and the alarm information should be released in time to notify the corresponding staff to go to the site for maintenance work.In order to solve the above problems,the main work of this article is as follows:(1)Based on the traditional MODIS fire point identification algorithm,using the data of Fengyun-3 D satellite and combining the climate and environmental characteristics of Guangdong and surrounding areas,proposes a fire point monitoring algorithm for regional thresholds in Guangdong and establishes the table of thresholds for initial identification of brightness temperature and the table of absolute ignition temperature threshold,and for the key step of cloud detection in the identification process,the cloud information is extracted based on the regional characteristics of the Guangdong area,and the cloud information is localized for localized fire identification.The traditional MODIS algorithm and the improved algorithm proposed were used to identify the fire point,and the obtained monitoring results were compared horizontally with the monitoring results provided by the forestry department.The result of the algorithm is more accurate and improves fire point detection to 89%.(2)In order to find the tower threatened by the fire point as soon as possible,the alarm information is released in time,aiming at the problems of large calculation,long time consumption and low efficiency of traditional traversal algorithms,proposes a circular memory area algorithm.However,the circular memory area algorithm is too slow when screening the tower,the the square memory area algorithm and the memory block search algorithm are further proposed.The square memory area algorithm solves the problem of the need for secondary calculations when filtering towers by the circular storage area method.The memory block search algorithm pre-processes the tower data in advance,and directly searches for the tower according to the sub-storage area where the tower is located.Experiments show that compared with the traditional traversal algorithm and circular memory area algorithm,the square memory area algorithm and the memory block search algorithm reduce the alarm time,and the shortened time is proportional to the number of towers.