Neighborhood Aging Evaluation Using Elderly Flow Data Fusion
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Solution Overview
Problem
Existing neighborhood aging suitability evaluations in prior art are inaccurate due to insufficient consideration of elderly travel quantity, neglect of bus lines and nodes, shallow analysis of microenvironment, and lack of comprehensive evaluation methods, leading to incorrect assessments and reduced transformation efficiency.
Innovation Solution
A method and system for evaluating neighborhood aging suitability through multi-source data fusion, including face recognition to detect elderly population flow, analysis of traffic and leisure facilities, and microenvironment parameters to derive comprehensive evaluation coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If face recognition technology is used to detect elderly population flow, then measurement precision of elderly travel quantity is improved, but device complexity increases
Solution Approach 1:
The patent introduces a face recognition system as an intermediary component to detect and count elderly population flow. This intermediary technology bridges the gap between raw surveillance data and meaningful demographic statistics, enabling precise measurement of elderly travel quantities without requiring direct manual counting or complex surveys.
Solution Approach 2:
The patent replaces manual or mechanical counting methods with automated face recognition technology. This substitution eliminates the need for physical presence of evaluators and automates the detection process, improving measurement precision while the system handles complexity through automation rather than manual procedures.
2Measurement precision
If comprehensive multi-source data fusion is implemented, then evaluation accuracy is improved, but information processing complexity increases
Solution Approach 1:
The patent merges multiple data sources including face recognition data, traffic facility data, leisure facility data, and microenvironment data into a unified evaluation framework. This combining of diverse information streams enables comprehensive assessment of neighborhood aging suitability, improving evaluation accuracy through multi-dimensional analysis.
Solution Approach 2:
The patent creates a multi-functional evaluation system that simultaneously processes demographic data, traffic data, facility data, and environmental data. This universal system performs multiple evaluation functions in an integrated manner, handling diverse data types through a single comprehensive framework that improves overall evaluation accuracy.
3Reliability
If traffic line patency coefficient is analyzed using bus lines and nodes, then evaluation rationality is improved, but calculation complexity increases
Solution Approach 1:
The patent segments the traffic network into discrete bus lines and nodes for individual analysis. By dividing the complex traffic system into manageable components (lines and nodes), the system can evaluate each segment's contribution to overall traffic convenience, improving evaluation rationality while maintaining manageable calculation complexity through modular analysis.
Solution Approach 2:
The patent transforms the complex traffic network structure into quantifiable parameters including bus line quantities, node quantities, and traffic line patency coefficients. This parameter transformation converts qualitative traffic convenience assessment into measurable numerical indicators, improving evaluation rationality through objective metric-based analysis.
4Reliability
If microenvironment parameters are detected and analyzed, then evaluation rationality is improved, but measurement complexity increases
Solution Approach 1:
The patent creates a digital copy or model of the physical microenvironment by measuring parameters such as green space ratios, air quality, and noise levels. This digital representation allows comprehensive analysis of microenvironmental conditions without requiring physical intervention or complex direct observation, improving evaluation rationality through data-driven assessment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and rationality of neighborhood aging suitability assessments, ensuring convenient transportation, suitable leisure facilities, and healthy living conditions for the elderly, thereby improving the correctness and efficiency of transformation processes.
Implementation Method 1
by face recognition technology of each housing estate of the target neighbourhood, detecting a quantity of elderly people leaving the each housing estate
Data Source
AI summary
A method and a system for evaluating neighbourhood aging suitability based on multi-source data fusion are provided, the method includes: detecting a quantity of people entering and leaving a target neighbourhood; analyzing traffic suitability of the target neighbourhood; evaluating leisure facility perfection of the target neighbourhood; analyzing microenvironment suitability of the target neighbourhood; evaluating aging suitability of the target neighbourhood; and processing the target neighbourhood. The embodiments include analyzing a traveling quantity of elderly people to remedy a defect of low attention paid to the traveling quantity of elderly people, thereby ensuring the accuracy of the analysis results of neighbourhood traffic convenience and improving the accuracy of a neighbourhood aging evaluation.