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.)
Contents
INTERNET OF THINGS SYSTEM AND METHOD FOR MANAGING PEOPLE FLOW OF PUBLIC PLACE IN SMART CITY
Organization Name
CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Inventor(s)
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.
