IoT Place Recommendation for Pedestrian Flow Control
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Solution Overview
Problem
Existing methods for controlling pedestrian flow in different locations are not tailored enough to address the unique conditions of each place, leading to inefficiencies in managing pedestrian flow and potential safety hazards.
Innovation Solution
A method and system for place recommendation in smart cities using IoT technology, which involves obtaining place and pedestrian flow information, determining candidate control schemes, and selecting a target control scheme to accurately manage pedestrian flow in various locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic pedestrian flow control measures are applied uniformly across different places, then implementation simplicity is maintained, but control precision and effectiveness deteriorate
Solution Approach 1:
The patent applies local quality by customizing control measures according to specific place characteristics. The system determines place types (e.g., commercial, residential, public) and applies differentiated control strategies for each type, such as adjusting entrance exit control, passage control, and time window parameters based on local pedestrian flow patterns and place functions, thereby achieving precise control without sacrificing implementation simplicity through automated classification
2Reliability
If targeted control measures are implemented for different places, then control effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent segments the city into multiple place types (commercial places, residential places, public places, etc.) and applies specific control measure sets to each segment. This segmentation allows the system to manage complexity by handling each place type independently with pre-defined control strategies, rather than creating a monolithic complex system for all places
Solution Approach 2:
The patent changes control parameters (entrance exit control status, passage control status, time window settings) based on place characteristics and pedestrian flow conditions. By dynamically adjusting these parameters according to place type and real-time data, the system achieves high control effectiveness without requiring complex infrastructure, relying instead on flexible parameter configuration
3Measurement precision
If real-time pedestrian flow data is collected and analyzed for each place, then control accuracy is improved, but data processing complexity and time consumption increase
Solution Approach 1:
The patent performs preliminary classification of places into predefined types based on their characteristics before implementing control measures. This preliminary action allows the system to pre-determine appropriate control strategies for each place type, reducing the need for complex real-time analysis during peak periods and enabling faster decision-making while maintaining accuracy
Data Source
AI summary
A method and a system for place recommendation in the smart city based on an Internet of Things are provided. The method is implemented by a management platform. The method includes: obtaining place information and pedestrian flow information of places, the place information including a count of the places, at least one distance between the places, and control measures for entrances and exits in each place, and control measures for passages, and the control measures include whether the entrances, exits, and passages in each place are closed; determining a plurality of candidate control schemes for the places based on the place information and the pedestrian flow information of the places; and determining a target control scheme of the places based on the plurality of candidate control schemes.