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

2022 2nd International Conference on Bioinformatics and Intelligent Computing Pub Date : 2022-01-21 DOI:10.1145/3523286.3524598

Chunxiao Wang, RuiWu Jiang, Tuiliang Feng, S. Sun, Wei-Min Wen

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Abstract

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.

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细胞信号数据在自然保护区人类活动监测中的应用

人类活动监测是自然保护区管理的主要内容之一。提出了一种基于蜂窝网络信令数据的人群分布监测方法。该方法利用保护区的蜂窝网络信令数据，从时空两个维度对人群进行分析。根据居住时间的不同，人群分为旅游人群、路过人群和常住人群。通过空间网格划分，对保护区人口的空间分布进行统计分析。结合日、月统计数据，可结合天气、节假日等信息进行预测。同时，可以根据用户类型进行自然保护区防范措施的短信通知。实验结果表明，该方法能够快速有效地统计自然保护区内的人口数量、结构和空间分布，为自然保护区的人流控制、发展和保护提供决策依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 2nd International Conference on Bioinformatics and Intelligent Computing

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