Urban update space intelligent planning and evaluation system based on digital twinning
By building an intelligent urban renewal space planning system through digital twin technology, we can solve the problems of low efficiency and insufficient multi-objective balance in traditional urban planning, realize automated iterative optimization and scientific decision-making support, adapt to dynamic changes in the city, and provide accurate planning solutions.
Patent Information
- Application Number
- CN202510809814.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-17
- Publication Date
- 2025-09-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional urban planning relies on manual experience and lacks real-time monitoring and dynamic adjustment capabilities, resulting in low efficiency in planning scheme generation and insufficient multi-objective balancing capabilities. The evaluation results are easily affected by the subjective preferences of experts, making it difficult to quantify specific indicators such as the coverage rate of public service facilities and the rate of improvement in living conditions for low-income groups. Simulation verification lacks multi-dimensional collaborative deduction and cannot promptly detect deviations between planning and actual results.
An intelligent planning and evaluation system for urban renewal space based on digital twins is adopted. The city digital twin is constructed through the data acquisition module, candidate plans are generated in combination with the intelligent planning module, multi-dimensional dynamic simulation is performed using the simulation deduction module, quantitative evaluation is performed using the intelligent evaluation module, and actual operation indicators are continuously monitored through the monitoring feedback module to form a closed-loop iterative optimization.
It has achieved automated iterative optimization of urban renewal plans, improved planning efficiency and scientificity, can adapt to dynamic changes in the city, provide objective decision-making support, reduce human bias, and ensure accurate calibration and dynamic adjustment of planning plans.