Research on Indoor Area Personnel Abnormal Gathering Warning and Control Technology Based on WiFi7

In order to evaluate the degree of people gathering in indoor public areas, realize the early warning of abnormal people gathering, and avoid crowd safety problems such as stampede, a crowd control technology based on WIFI7 is proposed. The address information of the mobile terminal in the detection area can be obtained by using the WiFi7 probe. Based on the RSSI distance algorithm, the distance between the crowd and the WiFi probe is calculated, and the median of the RSSI value is filtered to reduce the noise interference. Finally, the three-sided positioning algorithm is used to locate the crowd. The positioning technology based on RSSI ranging can visually display data coordinates and aggregation degree. The superiority and feasibility of this algorithm are proved by simulation. Compared with traditional positioning methods, such as GPS, Bluetooth and other technologies, this paper adopts advanced WIFI7 technology, which has a higher transmission rate, a larger number of concurrent users and a lower delay, and can effectively cope with high-bandwidth and high-rate indoor high-precision positioning scenarios, and has a good application prospect.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icsece61636.2024.10729415
Primary Topic
Wireless Sensor Networks and IoT
Type
article
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article

Research on Indoor Area Personnel Abnormal Gathering Warning and Control Technology Based on WiFi7

Chao Long, Donglin Wang, Wenjing Wu
Wireless Sensor Networks and IoT
article

Research on Indoor Area Personnel Abnormal Gathering Warning and Control Technology Based on WiFi7

Chao Long, Donglin Wang, Wenjing Wu
article en

Abstract

In order to evaluate the degree of people gathering in indoor public areas, realize the early warning of abnormal people gathering, and avoid crowd safety problems such as stampede, a crowd control technology based on WIFI7 is proposed. The address information of the mobile terminal in the detection area can be obtained by using the WiFi7 probe. Based on the RSSI distance algorithm, the distance between the crowd and the WiFi probe is calculated, and the median of the RSSI value is filtered to reduce the noise interference. Finally, the three-sided positioning algorithm is used to locate the crowd. The positioning technology based on RSSI ranging can visually display data coordinates and aggregation degree. The superiority and feasibility of this algorithm are proved by simulation. Compared with traditional positioning methods, such as GPS, Bluetooth and other technologies, this paper adopts advanced WIFI7 technology, which has a higher transmission rate, a larger number of concurrent users and a lower delay, and can effectively cope with high-bandwidth and high-rate indoor high-precision positioning scenarios, and has a good application prospect.

Tianjin Municipal Engineering Design and Research Institute (CN)
Openalex Percentile: Top 78%
Wireless Sensor Networks and IoT
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