View source for 20240046166. INTERNET OF THINGS SYSTEM AND METHOD FOR MANAGING PEOPLE FLOW OF PUBLIC PLACE IN SMART CITY simplified abstract (CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.)

=INTERNET OF THINGS SYSTEM AND METHOD FOR MANAGING PEOPLE FLOW OF PUBLIC PLACE IN SMART CITY=


==Organization Name==

[[:Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.|CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]


[[Category:CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.]]

==Inventor(s)==

[[:Category:Zehua Shao of Chengdu (CN)|Zehua Shao of Chengdu (CN)]][[Category:Zehua Shao of Chengdu (CN)]]

[[:Category:Bin Liu of Chengdu (CN)|Bin Liu of Chengdu (CN)]][[Category:Bin Liu of Chengdu (CN)]]

[[:Category:Haitang Xiang of Chengdu (CN)|Haitang Xiang of Chengdu (CN)]][[Category:Haitang Xiang of Chengdu (CN)]]

[[:Category:Yaqiang Quan of Chengdu (CN)|Yaqiang Quan of Chengdu (CN)]][[Category:Yaqiang Quan of Chengdu (CN)]]

[[:Category:Xiaojun Wei of Chengdu (CN)|Xiaojun Wei of Chengdu (CN)]][[Category:Xiaojun Wei of Chengdu (CN)]]

==INTERNET OF THINGS SYSTEM AND METHOD FOR MANAGING PEOPLE FLOW OF PUBLIC PLACE IN SMART CITY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046166 titled 'INTERNET OF THINGS SYSTEM AND METHOD FOR MANAGING PEOPLE FLOW OF PUBLIC PLACE IN SMART CITY

==Simplified Explanation==

The disclosed patent application describes an Internet of Things (IoT) system and method for managing the flow of people in a public place within a smart city. The method involves obtaining pedestrian distribution information in a specific area during a current time period from a storage device via a network. This information is then processed through an area location prediction model, specifically a graph neural network model, to determine at least one area location in the same area for a future time period. The population flow load of the area location is evaluated to be greater than a first threshold. Based on the area location, prompt information is generated and feedbacked to a user terminal through a service platform via the network.

* The patent application focuses on managing the flow of people in public places within smart cities using IoT technology.
* It involves obtaining pedestrian distribution information in a specific area during a current time period.
* The information is processed through an area location prediction model, specifically a graph neural network model.
* The model determines at least one area location in the same area for a future time period based on the pedestrian distribution information.
* The population flow load of the area location is evaluated to be greater than a first threshold, indicating high foot traffic.
* Prompt information is generated based on the area location, which can be used to provide real-time updates or guidance to users.
* The prompt information is feedbacked to a user terminal through a service platform via the network.

Potential Applications:
* Crowd management in public spaces such as parks, shopping malls, or transportation hubs.
* Optimizing resource allocation and infrastructure planning based on predicted population flow.
* Enhancing public safety and security by identifying areas with high foot traffic.
* Providing personalized recommendations or notifications to users based on their location within a public place.

Problems Solved:
* Efficiently managing and optimizing the flow of people in crowded public places.
* Predicting future population flow to proactively address potential congestion or safety issues.
* Providing real-time information and guidance to users based on their location within a public place.

Benefits:
* Improved crowd management and enhanced user experience in public spaces.
* Efficient allocation of resources and infrastructure planning based on predicted population flow.
* Enhanced public safety and security through proactive identification of areas with high foot traffic.
* Personalized recommendations and notifications for users based on their location within a public place.


==Original Abstract Submitted==

the disclosure provides an internet of things system and a method for managing a people flow of a public place in a smart city. the method may comprise obtaining pedestrian distribution information in a preset area during a current time period via network from a storage device; determining, by processing the pedestrian distribution information through an area location prediction model, at least one area location in the preset area for a future time period, a population flow load of the area location being greater than a first threshold, wherein the area location prediction model includes a graph neural network model, a graph input into the graph neural network model includes at least two nodes and at least one edge; generating, based on the area location, prompt information; and feedbacking the prompt information to a user terminal of a user platform through a service platform via the network.



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