Application of Cellular Signaling Data in Monitoring Human Activities in Nature Reserves

Human activities monitoring is one of the main contents of nature reserves management. A crowd distribution monitoring method based on cellular network signaling data is proposed in this paper. The method uses cellular network signaling data in the reserve to analyze the crowd from spatial and temporal dimensions. According to different residence time, the crowd is divided into tourist crowd, passing crowd, and permanent residence. Through spatial grid division, the spatial distribution of people in the reserve is statistically analyzed. Combined with daily and monthly statistical data, it can be predicted in combination with weather, holidays and other information. At the same time, SMS notification of precautions in the nature reserve can be carried out according to the user type. The experimental results show that this method can quickly and effectively count the number, structure and spatial distribution of people within the nature reserve, and provide decision-making basis for people flow control, development and protection of the nature reserve.